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Peluso MJ, Swank ZN, Goldberg SA, Lu S, Dalhuisen T, Borberg E, Senussi Y, Luna MA, Chang Song C, Clark A, Zamora A, Lew M, Viswanathan B, Huang B, Anglin K, Hoh R, Hsue PY, Durstenfeld MS, Spinelli MA, Glidden DV, Henrich TJ, Kelly JD, Deeks SG, Walt DR, Martin JN. Plasma-based antigen persistence in the post-acute phase of COVID-19. Lancet Infect Dis 2024:S1473-3099(24)00211-1. [PMID: 38604216 DOI: 10.1016/s1473-3099(24)00211-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/13/2024] [Accepted: 03/15/2024] [Indexed: 04/13/2024]
Affiliation(s)
- Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA.
| | - Zoe N Swank
- Harvard Medical School, Boston, MA, USA; Department of Pathology, Brigham & Women's Hospital, Boston, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Thomas Dalhuisen
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Ella Borberg
- Harvard Medical School, Boston, MA, USA; Department of Pathology, Brigham & Women's Hospital, Boston, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Yasmeen Senussi
- Harvard Medical School, Boston, MA, USA; Department of Pathology, Brigham & Women's Hospital, Boston, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Michael A Luna
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Celina Chang Song
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Alexus Clark
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Andhy Zamora
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Megan Lew
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Badri Viswanathan
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Priscila Y Hsue
- Division of Cardiology, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Matthew S Durstenfeld
- Division of Cardiology, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Matthew A Spinelli
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, University of California San Francisco, San Francisco, CA 94110, USA
| | - David R Walt
- Harvard Medical School, Boston, MA, USA; Department of Pathology, Brigham & Women's Hospital, Boston, MA, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, University of California San Francisco, San Francisco, CA 94110, USA
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Park HJ, Gonsalves GS, Tan ST, Kelly JD, Rutherford GW, Wachter RM, Schechter R, Paltiel AD, Lo NC. Comparing frequency of booster vaccination to prevent severe COVID-19 by risk group in the United States. Nat Commun 2024; 15:1883. [PMID: 38448400 PMCID: PMC10917753 DOI: 10.1038/s41467-024-45549-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/26/2024] [Indexed: 03/08/2024] Open
Abstract
There is a public health need to understand how different frequencies of COVID-19 booster vaccines may mitigate the risk of severe COVID-19, while accounting for waning of protection and differential risk by age and immune status. By analyzing United States COVID-19 surveillance and seroprevalence data in a microsimulation model, here we show that more frequent COVID-19 booster vaccination (every 6-12 months) in older age groups and the immunocompromised population would effectively reduce the burden of severe COVID-19, while frequent boosters in the younger population may only provide modest benefit against severe disease. In persons 75+ years, the model estimated that annual boosters would reduce absolute annual risk of severe COVID-19 by 199 (uncertainty interval: 183-232) cases per 100,000 persons, compared to a one-time booster vaccination. In contrast, for persons 18-49 years, the model estimated that annual boosters would reduce this risk by 14 (10-19) cases per 100,000 persons. Those with prior infection had lower benefit of more frequent boosting, and immunocompromised persons had larger benefit. Scenarios with emerging variants with immune evasion increased the benefit of more frequent variant-targeted boosters. This study underscores the benefit of considering key risk factors to inform frequency of COVID-19 booster vaccines in public health guidance and ensuring at least annual boosters in high-risk populations.
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Affiliation(s)
- Hailey J Park
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Gregg S Gonsalves
- Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA
| | - Sophia T Tan
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Robert M Wachter
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - A David Paltiel
- Department of Health Policy and Management and Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA
| | - Nathan C Lo
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.
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Frankfurter R, Malik M, Kpakiwa SD, McGinnis T, Malik MM, Chitre S, Barrie MB, Dibba Y, Mulalu L, Baldwinson R, Fallah M, Rashid I, Kelly JD, Richardson ET. Representations of an Ebola 'outbreak' through Story Technologies. BMJ Glob Health 2024; 9:e013210. [PMID: 38341190 PMCID: PMC10862337 DOI: 10.1136/bmjgh-2023-013210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 01/14/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Attempts to understand biosocial phenomena using scientific methods are often presented as value-neutral and objective; however, when used to reduce the complexity of open systems such as epidemics, these forms of inquiry necessarily entail normative considerations and are therefore fashioned by political worldviews (ideologies). From the standpoint of poststructural theory, the character of these representations is at most limited and partial. In addition, these modes of representation (as stories) do work (as technologies) in the service of, or in resistance to, power. METHODS We focus on a single Ebola case cluster from the 2013-2016 outbreak in West Africa and examine how different disciplinary forms of knowledge production (including outbreak forecasting, active epidemiological surveillance, post-outbreak serosurveys, political economic analyses, and ethnography) function as Story Technologies. We then explore how these technologies are used to curate 'data,' analysing the erasures, values, and imperatives evoked by each. RESULTS We call attention to the instrumental-in addition to the descriptive-role Story Technologies play in ordering contingencies and establishing relationships in the wake of health crises. DISCUSSION By connecting each type of knowledge production with the systems of power it reinforces or disrupts, we illustrate how Story Technologies do ideological work. These findings encourage research from pluriversal perspectives and advocacy for measures that promote more inclusive modes of knowledge production.
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Affiliation(s)
| | - Maya Malik
- School of Social Work, McGill University, Montreal, Québec, Canada
| | | | - Timothy McGinnis
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Momin M Malik
- Center for Digital Health, Mayo Clinic, Rochester, Minnesota, USA
| | - Smit Chitre
- Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | - Lulwama Mulalu
- McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Raquel Baldwinson
- Department of English Language and Literatures, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mosoka Fallah
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Ismail Rashid
- Department of History, Vassar College, Poughkeepsie, New York, USA
| | - J Daniel Kelly
- Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Eugene T Richardson
- Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Yin K, Peluso MJ, Luo X, Thomas R, Shin MG, Neidleman J, Andrew A, Young KC, Ma T, Hoh R, Anglin K, Huang B, Argueta U, Lopez M, Valdivieso D, Asare K, Deveau TM, Munter SE, Ibrahim R, Ständker L, Lu S, Goldberg SA, Lee SA, Lynch KL, Kelly JD, Martin JN, Münch J, Deeks SG, Henrich TJ, Roan NR. Long COVID manifests with T cell dysregulation, inflammation and an uncoordinated adaptive immune response to SARS-CoV-2. Nat Immunol 2024; 25:218-225. [PMID: 38212464 PMCID: PMC10834368 DOI: 10.1038/s41590-023-01724-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 11/29/2023] [Indexed: 01/13/2024]
Abstract
Long COVID (LC) occurs after at least 10% of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, yet its etiology remains poorly understood. We used 'omic" assays and serology to deeply characterize the global and SARS-CoV-2-specific immunity in the blood of individuals with clear LC and non-LC clinical trajectories, 8 months postinfection. We found that LC individuals exhibited systemic inflammation and immune dysregulation. This was evidenced by global differences in T cell subset distribution implying ongoing immune responses, as well as by sex-specific perturbations in cytolytic subsets. LC individuals displayed increased frequencies of CD4+ T cells poised to migrate to inflamed tissues and exhausted SARS-CoV-2-specific CD8+ T cells, higher levels of SARS-CoV-2 antibodies and a mis-coordination between their SARS-CoV-2-specific T and B cell responses. Our analysis suggested an improper crosstalk between the cellular and humoral adaptive immunity in LC, which can lead to immune dysregulation, inflammation and clinical symptoms associated with this debilitating condition.
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Affiliation(s)
- Kailin Yin
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Xiaoyu Luo
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Reuben Thomas
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
| | - Min-Gyoung Shin
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
| | - Jason Neidleman
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Alicer Andrew
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Kyrlia C Young
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Tongcui Ma
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Urania Argueta
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Monica Lopez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Daisy Valdivieso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Kofi Asare
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Sadie E Munter
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Rania Ibrahim
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ludger Ständker
- Core Facility Functional Peptidomics, Ulm University Medical Center, Ulm, Germany
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sulggi A Lee
- Zuckerberg San Francisco General Hospital and the University of California, San Francisco, San Francisco, CA, USA
| | - Kara L Lynch
- Division of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jan Münch
- Core Facility Functional Peptidomics, Ulm University Medical Center, Ulm, Germany
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA.
| | - Nadia R Roan
- Gladstone Institutes, University of California, San Francisco, San Francisco, CA, USA.
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA.
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5
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Akpandak I, Sechrist SJ, Claire Miller D, Sun Y, Arnold BF, Daniel Kelly J, Acharya NR. Risk of Herpes Zoster Ophthalmicus After COVID-19 Vaccination in a Large US Health Care Claims Database. Am J Ophthalmol 2024; 258:139-144. [PMID: 37423396 PMCID: PMC10963023 DOI: 10.1016/j.ajo.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/02/2023] [Accepted: 07/03/2023] [Indexed: 07/11/2023]
Abstract
PURPOSE Herpes zoster ophthalmicus (HZO) after COVID-19 vaccination has been reported in numerous case studies. However, no large-scale epidemiologic studies have been conducted to date. The purpose of this study was to determine whether COVID-19 vaccination is associated with an increased risk of HZO. DESIGN Retrospective before-and-after risk interval analysis. METHODS RESULTS: In total, 1,959,157 patients received a dose of a COVID-19 vaccine during the study period and met eligibility criteria. A total of 80 individuals without a prior history of HZO were included in the analysis because they developed HZO in the risk or control period. Patients had a mean age of 54.0 years (SD = 12.3 years). There were 45 cases of HZO in the risk interval after COVID-19 vaccination. There was not an increased risk of HZO after vaccination with BNT162b2 (IRR = 0.90, 95% CI: 0.49-1.69, P = .74), mRNA-1273 (IRR = 0.74, 95% CI: 0.36-1.54, P = .42), or Ad26.COV2.S (IRR = 0.50, 95% CI: 0.07-2.56, P = .42). CONCLUSIONS This study found no evidence of increased risk of HZO after COVID-19 vaccination, providing reassurance for patients and providers who may be concerned about the safety profile of the COVID-19 vaccines.
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Affiliation(s)
- Idara Akpandak
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.)
| | - Samantha J Sechrist
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.)
| | - D Claire Miller
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.)
| | - Yuwei Sun
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.)
| | - Benjamin F Arnold
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.); Department of Ophthalmology (B.F.A., N.R.A.)
| | - J Daniel Kelly
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.); Department of Epidemiology and Biostatistics (J.D.K., N.R.A.); Institute for Global Health Sciences (J.D.K., N.R.A.), University of California, San Francisco, California, USA
| | - Nisha R Acharya
- From the F.I. Proctor Foundation (I.A., S.J.S., D.C.M., Y.S., B.F.A., J.D.K., N.R.A.); Department of Ophthalmology (B.F.A., N.R.A.); Department of Epidemiology and Biostatistics (J.D.K., N.R.A.); Institute for Global Health Sciences (J.D.K., N.R.A.), University of California, San Francisco, California, USA.
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6
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Peluso MJ, Swank ZN, Goldberg SA, Lu S, Dalhuisen T, Borberg E, Senussi Y, Luna MA, Song CC, Clark A, Zamora A, Lew M, Viswanathan B, Huang B, Anglin K, Hoh R, Hsue PY, Durstenfeld MS, Spinelli MA, Glidden DV, Henrich TJ, Daniel Kelly J, Deeks SG, Walt DR, Martin JN. Plasma-based antigen persistence in the post-acute phase of SARS-CoV-2 infection. medRxiv 2023:2023.10.24.23297114. [PMID: 37961239 PMCID: PMC10635183 DOI: 10.1101/2023.10.24.23297114] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
BACKGROUND Persistent symptoms among some persons who develop COVID-19 has led to the hypothesis that SARS-CoV-2 may, in some form or location, persist for long periods following acute infection. Several studies have shown data in this regard but are limited by non-representative and small study populations, short duration since acute infection, and lack of a true-negative comparator group to assess assay specificity. METHODS We evaluated adults with RNA-confirmed COVID-19 at multiple time points following acute infection (pandemic-era participants) and adults with specimens collected prior to 2020 (pre-pandemic era). Using once-thawed plasma, we employed the Simoa® (Quanterix) single molecule array detection platform to measure SARS-CoV-2 spike, S1, and nucleocapsid antigens. RESULTS Compared to 250 pre-pandemic participants who had 2% assay positivity, detection of any SARS-CoV-2 antigen was significantly more frequent among 171 pandemic-era participants at three different time periods in the post-acute phase of infection. The absolute difference in SARS-CoV-2 plasma antigen prevalence was +11% (95% CI: +5.0% to +16%) at 3.0-6.0 months post-onset of COVID-19; +8.7% (95% CI: +3.1% to +14%) at 6.1 to 10.0 months; and +5.4% (95% CI: +0.42% to +10%) at 10.1-14.1 months. Hospitalization for acute COVID-19 and, among the non-hospitalized, worse self-reported health during acute COVID-19 were associated with greater post-acute phase antigen detection. CONCLUSIONS Compared to uninfected persons, there is an excess prevalence of SARS-CoV-2 antigenemia in SARS-CoV-2-infected individuals up to 14 months after acute COVID-19. These findings motivate an urgent research agenda regarding the short-term and long-term clinical manifestations of this viral persistence.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Zoe N. Swank
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Dalhuisen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ella Borberg
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Yasmeen Senussi
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Michael A. Luna
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Celina Chang Song
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Alexus Clark
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andhy Zamora
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Megan Lew
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Badri Viswanathan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Priscila Y. Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Matthew A. Spinelli
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David R. Walt
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
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7
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Buck AM, Deitchman AN, Takahashi S, Lu S, Goldberg SA, Bodansky A, Kung A, Hoh R, Williams MC, Kerbleski M, Maison DP, Deveau TM, Munter SE, Lombardo J, Wrin T, Petropoulos CJ, Durstenfeld MS, Hsue PY, Daniel Kelly J, Greenhouse B, Martin JN, Deeks SG, Peluso MJ, Henrich TJ. The breadth of the neutralizing antibody response to original SARS-CoV-2 infection is linked to the presence of Long COVID symptoms. J Med Virol 2023; 95:e29216. [PMID: 37988251 PMCID: PMC10754238 DOI: 10.1002/jmv.29216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 11/23/2023]
Abstract
The associations between longitudinal dynamics and the breadth of SARS-CoV-2 neutralizing antibody (nAb) response with various Long COVID phenotypes before vaccination are not known. The capacity of antibodies to cross-neutralize a variety of viral variants may be associated with ongoing pathology and persistent symptoms. We measured longitudinal neutralizing and cross-neutralizing antibody responses to pre- and post-SARS-CoV-2 Omicron variants in participants infected early in the COVID-19 pandemic, before widespread rollout of SARS-CoV-2 vaccines. Cross-sectional regression models adjusted for clinical covariates and longitudinal mixed-effects models were used to determine the impact of the breadth and rate of decay of neutralizing responses on the development of Long COVID symptoms, as well as Long COVID phenotypes. We identified several novel relationships between SARS-CoV-2 antibody neutralization and the presence of Long COVID symptoms. Specifically, we show that, although nAb responses to the original, infecting strain of SARS-CoV-2 were not associated with Long COVID in cross-sectional analyses, cross-neutralization ID50 levels to the Omicron BA.5 variant approximately 4 months following acute infection was independently and significantly associated with greater odds of Long COVID and with persistent gastrointestinal and neurological symptoms. Longitudinal modeling demonstrated significant associations in the overall levels and rates of decay of neutralization capacity with Long COVID phenotypes. A higher proportion of participants had antibodies capable of neutralizing Omicron BA.5 compared with BA.1 or XBB.1.5 variants. Our findings suggest that relationships between various immune responses and Long COVID are likely complex but may involve the breadth of antibody neutralization responses.
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Affiliation(s)
- Amanda M. Buck
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Amelia N. Deitchman
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA, United States
| | - Saki Takahashi
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Aaron Bodansky
- Division of Pediatric Critical Care Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Andrew Kung
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, United States
| | - Rebecca Hoh
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Meghann C. Williams
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Marian Kerbleski
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - David P. Maison
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - James Lombardo
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Terri Wrin
- Monogram Biosciences, South San Francisco, CA, United States
| | | | - Matthew S. Durstenfeld
- Division of Cardiology, University of California San Francisco, San Francisco, CA, United States
| | - Priscilla Y. Hsue
- Division of Cardiology, University of California San Francisco, San Francisco, CA, United States
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Bryan Greenhouse
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Steven G. Deeks
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Michael J. Peluso
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
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Kelly JD, Curteis T, Rawal A, Murton M, Clark LJ, Jafry Z, Shah-Gupta R, Berry M, Espinueva A, Chen L, Abdelghany M, Sweeney DA, Quint JK. SARS-CoV-2 post-acute sequelae in previously hospitalised patients: systematic literature review and meta-analysis. Eur Respir Rev 2023; 32:220254. [PMID: 37437914 PMCID: PMC10336551 DOI: 10.1183/16000617.0254-2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/03/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Many individuals hospitalised with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection experience post-acute sequelae of SARS-CoV-2 infection (PASC), sometimes referred to as "long COVID". Our objective was to conduct a systematic literature review and meta-analysis to identify PASC-associated symptoms in previously hospitalised patients and determine the frequency and temporal nature of PASC. METHODS Searches of MEDLINE, Embase, Cochrane Library (2019-2021), World Health Organization International Clinical Trials Registry Platform and reference lists were performed from November to December 2021. Articles were assessed by two reviewers against eligibility criteria and a risk of bias tool. Symptom data were synthesised by random effects meta-analyses. RESULTS Of 6942 records, 52 studies with at least 100 patients were analysed; ∼70% were Europe-based studies. Most data were from the first wave of the pandemic. PASC symptoms were analysed from 28 days after hospital discharge. At 1-4 months post-acute SARS-CoV-2 infection, the most frequent individual symptoms were fatigue (29.3% (95% CI 20.1-40.6%)) and dyspnoea (19.6% (95% CI 12.8-28.7%)). Many patients experienced at least one symptom at 4-8 months (73.1% (95% CI 44.2-90.3%)) and 8-12 months (75.0% (95% CI 56.4-87.4%)). CONCLUSIONS A wide spectrum of persistent PASC-associated symptoms were reported over the 1-year follow-up period in a significant proportion of participants. Further research is needed to better define PASC duration and determine whether factors such as disease severity, vaccination and treatments have an impact on PASC.
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Affiliation(s)
- J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | | | | | | | - Zarena Jafry
- Costello Medical Consulting, Inc., Boston, MA, USA
| | | | - Mark Berry
- Gilead Sciences Europe Ltd, Uxbridge, UK
| | | | - Linda Chen
- Gilead Sciences, Inc., Foster City, CA, USA
| | | | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of California, San Diego, CA, USA
| | - Jennifer K Quint
- School of Public Health and National Heart and Lung Institute, Imperial College London, London, UK
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9
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Takahashi S, Peluso MJ, Hakim J, Turcios K, Janson O, Routledge I, Busch MP, Hoh R, Tai V, Kelly JD, Martin JN, Deeks SG, Henrich TJ, Greenhouse B, Rodríguez-Barraquer I. SARS-CoV-2 Serology Across Scales: A Framework for Unbiased Estimation of Cumulative Incidence Incorporating Antibody Kinetics and Epidemic Recency. Am J Epidemiol 2023; 192:1562-1575. [PMID: 37119030 PMCID: PMC10472487 DOI: 10.1093/aje/kwad106] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/29/2022] [Accepted: 04/24/2023] [Indexed: 04/30/2023] Open
Abstract
Serosurveys are a key resource for measuring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) population exposure. A growing body of evidence suggests that asymptomatic and mild infections (together making up over 95% of all infections) are associated with lower antibody titers than severe infections. Antibody levels also peak a few weeks after infection and decay gradually. We developed a statistical approach to produce estimates of cumulative incidence from raw seroprevalence survey results that account for these sources of spectrum bias. We incorporate data on antibody responses on multiple assays from a postinfection longitudinal cohort, along with epidemic time series to account for the timing of a serosurvey relative to how recently individuals may have been infected. We applied this method to produce estimates of cumulative incidence from 5 large-scale SARS-CoV-2 serosurveys across different settings and study designs. We identified substantial differences between raw seroprevalence and cumulative incidence of over 2-fold in the results of some surveys, and we provide a tool for practitioners to generate cumulative incidence estimates with preset or custom parameter values. While unprecedented efforts have been launched to generate SARS-CoV-2 seroprevalence estimates over this past year, interpretation of results from these studies requires properly accounting for both population-level epidemiologic context and individual-level immune dynamics.
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Affiliation(s)
- Saki Takahashi
- Correspondence to Dr. Saki Takahashi, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (e-mail: )
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10
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Durstenfeld MS, Peluso MJ, Kaveti P, Hill C, Li D, Sander E, Swaminathan S, Arechiga VM, Lu S, Goldberg SA, Hoh R, Chenna A, Yee BC, Winslow JW, Petropoulos CJ, Kelly JD, Glidden DV, Henrich TJ, Martin JN, Lee YJ, Aras MA, Long CS, Grandis DJ, Deeks SG, Hsue PY. Reduced Exercise Capacity, Chronotropic Incompetence, and Early Systemic Inflammation in Cardiopulmonary Phenotype Long Coronavirus Disease 2019. J Infect Dis 2023; 228:542-554. [PMID: 37166076 PMCID: PMC10686699 DOI: 10.1093/infdis/jiad131] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/26/2023] [Accepted: 05/09/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Mechanisms underlying persistent cardiopulmonary symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (postacute sequelae of coronavirus disease 2019 [COVID-19; PASC] or "long COVID") remain unclear. This study sought to elucidate mechanisms of cardiopulmonary symptoms and reduced exercise capacity. METHODS We conducted cardiopulmonary exercise testing (CPET), cardiac magnetic resonance imaging (CMR) and ambulatory rhythm monitoring among adults >1 year after SARS-CoV-2 infection, compared those with and those without symptoms, and correlated findings with previously measured biomarkers. RESULTS Sixty participants (median age, 53 years; 42% female; 87% nonhospitalized; median 17.6 months after infection) were studied. At CPET, 18/37 (49%) with symptoms had reduced exercise capacity (<85% predicted), compared with 3/19 (16%) without symptoms (P = .02). The adjusted peak oxygen consumption (VO2) was 5.2 mL/kg/min lower (95% confidence interval, 2.1-8.3; P = .001) or 16.9% lower percent predicted (4.3%-29.6%; P = .02) among those with symptoms. Chronotropic incompetence was common. Inflammatory markers and antibody levels early in PASC were negatively correlated with peak VO2. Late-gadolinium enhancement on CMR and arrhythmias were absent. CONCLUSIONS Cardiopulmonary symptoms >1 year after COVID-19 were associated with reduced exercise capacity, which was associated with earlier inflammatory markers. Chronotropic incompetence may explain exercise intolerance among some with "long COVID."
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Affiliation(s)
- Matthew S Durstenfeld
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
| | - Michael J Peluso
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA
| | - Punita Kaveti
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, UCSF Health, San Francisco, California, USA
| | - Christopher Hill
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Danny Li
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
| | - Erica Sander
- Division of Cardiology, UCSF Health, San Francisco, California, USA
| | - Shreya Swaminathan
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
| | - Victor M Arechiga
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
| | - Scott Lu
- Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA
| | - Sarah A Goldberg
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Rebecca Hoh
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
| | - Ahmed Chenna
- Monogram Biosciences, LabCorp, University of California, San Francisco, California, USA
| | - Brandon C Yee
- Monogram Biosciences, LabCorp, University of California, San Francisco, California, USA
| | - John W Winslow
- Monogram Biosciences, LabCorp, University of California, San Francisco, California, USA
| | | | - J Daniel Kelly
- Institute of Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, California, USA
| | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Timothy J Henrich
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Yoo Jin Lee
- Cardiac and Pulmonary Imaging, Department of Radiology, University of California, San Francisco, San Francisco, California, USA
| | - Mandar A Aras
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, UCSF Health, San Francisco, California, USA
| | - Carlin S Long
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, UCSF Health, San Francisco, California, USA
| | - Donald J Grandis
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, UCSF Health, San Francisco, California, USA
| | - Steven G Deeks
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, California, USA
| | - Priscilla Y Hsue
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Division of Cardiology, Zuckerberg San Francisco General, University of California, San Francisco, San Francisco, California, USA
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Arts PJ, Kelly JD, Midgley CM, Anglin K, Lu S, Abedi GR, Andino R, Bakker KM, Banman B, Boehm AB, Briggs-Hagen M, Brouwer AF, Davidson MC, Eisenberg MC, Garcia-Knight M, Knight S, Peluso MJ, Pineda-Ramirez J, Diaz Sanchez R, Saydah S, Tassetto M, Martin JN, Wigginton KR. Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage. mSphere 2023; 8:e0013223. [PMID: 37338211 PMCID: PMC10506459 DOI: 10.1128/msphere.00132-23] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/03/2023] [Indexed: 06/21/2023] Open
Abstract
Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) limits our ability to link WBE measurements to disease burden. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as for the commonly used fecal indicators pepper mild mottle virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2-infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding. Of the individuals that provided at least three stool samples spanning more than 14 days, 77% had one or more samples that tested positive for SARS-CoV-2 RNA. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall. CrAssphage DNA was detected in at least one sample from 80% (38/48) of individuals and was detected in 48% (179/371) of all samples. The geometric mean concentrations of PMMoV and crAssphage in stool across all individuals were 8.7 × 104 and 1.4 × 104 gene copies/milligram-dry weight, respectively, and crAssphage shedding was more consistent for individuals than PMMoV shedding. These results provide us with a missing link needed to connect laboratory WBE results with mechanistic models, and this will aid in more accurate estimates of COVID-19 burden in sewersheds. Additionally, the PMMoV and crAssphage data are critical for evaluating their utility as fecal strength normalizing measures and for source-tracking applications. IMPORTANCE This research represents a critical step in the advancement of wastewater monitoring for public health. To date, mechanistic materials balance modeling of wastewater-based epidemiology has relied on SARS-CoV-2 fecal shedding estimates from small-scale clinical reports or meta-analyses of research using a wide range of analytical methodologies. Additionally, previous SARS-CoV-2 fecal shedding data have not contained sufficient methodological information for building accurate materials balance models. Like SARS-CoV-2, fecal shedding of PMMoV and crAssphage has been understudied to date. The data presented here provide externally valid and longitudinal fecal shedding data for SARS-CoV-2, PMMoV, and crAssphage which can be directly applied to WBE models and ultimately increase the utility of WBE.
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Affiliation(s)
- Peter J. Arts
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Division of Hospital Medicine, UCSF, San Francisco, California, USA
- F.I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Claire M. Midgley
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Glen R. Abedi
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raul Andino
- Department of Microbiology and Immunology, UCSF, San Francisco, California, USA
| | - Kevin M. Bakker
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Bryon Banman
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexandria B. Boehm
- Department of Civil & Environmental Engineering, Stanford University, Stanford, California, USA
| | - Melissa Briggs-Hagen
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Andrew F. Brouwer
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Marisa C. Eisenberg
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Sterling Knight
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, UCSF, San Francisco, California, USA
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Ruth Diaz Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Sharon Saydah
- National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Michel Tassetto
- Department of Microbiology and Immunology, UCSF, San Francisco, California, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Krista R. Wigginton
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA
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Núñez I, Gillard J, Fragoso-Saavedra S, Feyaerts D, Islas-Weinstein L, Gallegos-Guzmán AA, Valente-García U, Meyerowitz J, Kelly JD, Chen H, Ganio E, Benkendorff A, Flores-Gouyonnet J, Dammann-Beltrán P, Heredia-González JF, Rangel-Gutiérrez GA, Blish CA, Nadeau KC, Nolan G, Crispín JC, McIlwain DR, Gaudillière B, Valdés-Ferrer SI. Longitudinal clinical phenotyping of post COVID condition in Mexican adults recovering from severe COVID-19: a prospective cohort study. Front Med (Lausanne) 2023; 10:1236702. [PMID: 37727759 PMCID: PMC10505811 DOI: 10.3389/fmed.2023.1236702] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/08/2023] [Indexed: 09/21/2023] Open
Abstract
Introduction Few studies have evaluated the presence of Post COVID-19 conditions (PCC) in people from Latin America, a region that has been heavily afflicted by the COVID-19 pandemic. In this study, we describe the frequency, co-occurrence, predictors, and duration of 23 symptoms in a cohort of Mexican patients with PCC. Methods We prospectively enrolled and followed adult patients hospitalized for severe COVID-19 at a tertiary care centre in Mexico City. The incidence of PCC symptoms was determined using questionnaires. Unsupervised clustering of PCC symptom co-occurrence and Kaplan-Meier analyses of symptom persistence were performed. The effect of baseline clinical characteristics was evaluated using Cox regression models and reported with hazard ratios (HR). Results We found that amongst 192 patients with PCC, respiratory problems were the most prevalent and commonly co-occurred with functional activity impairment. 56% had ≥5 persistent symptoms. Symptom persistence probability at 360 days 0.78. Prior SARS-CoV-2 vaccination and infection during the Delta variant wave were associated with a shorter duration of PCC. Male sex was associated with a shorter duration of functional activity impairment and respiratory symptoms. Hypertension and diabetes were associated with a longer duration of functional impairment. Previous vaccination accelerated PCC recovery. Discussion In our cohort, PCC symptoms were frequent (particularly respiratory and neurocognitive ones) and persistent. Importantly, prior SARS-CoV-2 vaccination resulted in a shorter duration of PCC.
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Affiliation(s)
- Isaac Núñez
- Department of Medical Education, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Division of Postrgraduate Studies, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Joshua Gillard
- Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands
- Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Sergio Fragoso-Saavedra
- Department of Medical Education, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Division of Postrgraduate Studies, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
- Combined Study Plan in Medicine, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Dorien Feyaerts
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - León Islas-Weinstein
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Angel A. Gallegos-Guzmán
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Uriel Valente-García
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Justin Meyerowitz
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States
- Institute for Global Health Sciences, UCSF, San Francisco, CA, United States
- F.IProctor Foundation, UCSF, San Francisco, CA, United States
| | - Han Chen
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Edward Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Alexander Benkendorff
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jaime Flores-Gouyonnet
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Pedro Dammann-Beltrán
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Gabriela A. Rangel-Gutiérrez
- Combined Study Plan in Medicine, Faculty of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Catherine A. Blish
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Chan Zuckerberg Biohub, San Francisco, CA, United States
- Division of Infectious Diseases, Stanford University, Stanford, CA, United States
| | - Kari C. Nadeau
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, United States
- Division of Pulmonary, Allergy, and Critical Care Medicine, Stanford University, Stanford, CA, United States
- Institute for Immunity, Transplantation, and Infectious Diseases, Stanford University, Stanford, CA, United States
| | - Garry Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Jose C. Crispín
- School of Medicine and Health Sciencies, Tecnologico de Monterrey, Mexico City, Mexico
- Department of Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - David R. McIlwain
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, United States
| | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Sergio I. Valdés-Ferrer
- Department of Neurology & Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Center for Biomedical Science, Feinstein Institutes for Medical Research, New York, NY, United States
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13
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Yin K, Peluso MJ, Luo X, Thomas R, Shin MG, Neidleman J, Andrew A, Young K, Ma T, Hoh R, Anglin K, Huang B, Argueta U, Lopez M, Valdivieso D, Asare K, Deveau TM, Munter SE, Ibrahim R, Ständker L, Lu S, Goldberg SA, Lee SA, Lynch KL, Kelly JD, Martin JN, Münch J, Deeks SG, Henrich TJ, Roan NR. Long COVID manifests with T cell dysregulation, inflammation, and an uncoordinated adaptive immune response to SARS-CoV-2. bioRxiv 2023:2023.02.09.527892. [PMID: 36798286 PMCID: PMC9934605 DOI: 10.1101/2023.02.09.527892] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Long COVID (LC), a type of post-acute sequelae of SARS-CoV-2 infection (PASC), occurs after at least 10% of SARS-CoV-2 infections, yet its etiology remains poorly understood. Here, we used multiple "omics" assays (CyTOF, RNAseq/scRNAseq, Olink) and serology to deeply characterize both global and SARS-CoV-2-specific immunity from blood of individuals with clear LC and non-LC clinical trajectories, 8 months following infection and prior to receipt of any SARS-CoV-2 vaccine. Our analysis focused on deep phenotyping of T cells, which play important roles in immunity against SARS-CoV-2 yet may also contribute to COVID-19 pathogenesis. Our findings demonstrate that individuals with LC exhibit systemic inflammation and immune dysregulation. This is evidenced by global differences in T cell subset distribution in ways that imply ongoing immune responses, as well as by sex-specific perturbations in cytolytic subsets. Individuals with LC harbored increased frequencies of CD4+ T cells poised to migrate to inflamed tissues, and exhausted SARS-CoV-2-specific CD8+ T cells. They also harbored significantly higher levels of SARS-CoV-2 antibodies, and in contrast to non-LC individuals, exhibited a mis-coordination between their SARS-CoV-2-specific T and B cell responses. RNAseq/scRNAseq and Olink analyses similarly revealed immune dysregulatory mechanisms, along with non-immune associated perturbations, in individuals with LC. Collectively, our data suggest that proper crosstalk between the humoral and cellular arms of adaptive immunity has broken down in LC, and that this, perhaps in the context of persistent virus, leads to the immune dysregulation, inflammation, and clinical symptoms associated with this debilitating condition.
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Affiliation(s)
- Kailin Yin
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Xiaoyu Luo
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Reuben Thomas
- Gladstone Institutes, University of California, San Francisco, USA
| | - Min-Gyoung Shin
- Gladstone Institutes, University of California, San Francisco, USA
| | - Jason Neidleman
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Alicer Andrew
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Kyrlia Young
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Tongcui Ma
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Khamal Anglin
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Urania Argueta
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Monica Lopez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Daisy Valdivieso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Kofi Asare
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California, San Francisco, USA
| | - Sadie E Munter
- Division of Experimental Medicine, University of California, San Francisco, USA
| | - Rania Ibrahim
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Ludger Ständker
- Core Facility Functional Peptidomics, Ulm University Medical Center, Meyerhofstrasse 1, Ulm, Germany
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Sulggi A Lee
- Zuckerberg San Francisco General Hospital and the University of California, San Francisco, USA
| | - Kara L Lynch
- Division of Laboratory Medicine, University of California, San Francisco, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Jan Münch
- Core Facility Functional Peptidomics, Ulm University Medical Center, Meyerhofstrasse 1, Ulm, Germany
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, USA
| | - Nadia R Roan
- Gladstone Institutes, University of California, San Francisco, USA
- Department of Urology, University of California, San Francisco, USA
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14
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Goldberg SA, Lu S, Garcia-Knight M, Davidson MC, Tassetto M, Anglin K, Pineda-Ramirez J, Chen JY, Rugart PR, Mathur S, Forman CA, Donohue KC, Abedi GR, Saydah S, Briggs-Hagen M, Midgley CM, Andino R, Peluso MJ, Glidden DV, Martin JN, Kelly JD. Viral Determinants of Acute COVID-19 Symptoms in a Nonhospitalized Adult Population in the Pre-Omicron Era. Open Forum Infect Dis 2023; 10:ofad396. [PMID: 37636517 PMCID: PMC10456204 DOI: 10.1093/ofid/ofad396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 07/20/2023] [Indexed: 08/29/2023] Open
Abstract
Background The influence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA level and presence of infectious virus on symptom occurrence is poorly understood, particularly among nonhospitalized individuals. Methods The study included 85 nonhospitalized, symptomatic adults, who were enrolled from September 2020 to November 2021. Data from a longitudinal cohort studied over 28 days was used to analyze the association of individual symptoms with SARS-CoV-2 viral RNA load, or the presence or level of infectious (culturable) virus. Presence of infectious virus and viral RNA load were assessed daily, depending on specimen availability, and amount of infectious virus was assessed on the day of maximum RNA load. Participants were surveyed for the start and end dates of 31 symptoms at enrollment and at days 9, 14, 21, and 28; daily symptom presence was determined analytically. We describe symptoms and investigate their possible association with viral determinants through a series of single or pooled (multiple days across acute period) cross-sectional analyses. Results There was an association between viral RNA load and the same-day presence of many individual symptoms. Additionally, individuals with infectious virus were more than three times as likely to have a concurrent fever than individuals without infectious virus, and more than two times as likely to have concurrent myalgia, chills, headache, or sore throat. Conclusions We found evidence to support the association of viral RNA load and infectious virus on some, but not all symptoms. Fever was most strongly associated with the presence of infectious virus; this may support the potential for symptom-based isolation guidance for COVID-19.
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Affiliation(s)
- Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
| | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Michel Tassetto
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
| | - Khamal Anglin
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Jesus Pineda-Ramirez
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Jessica Y Chen
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Paulina R Rugart
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Carrie A Forman
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Kevin C Donohue
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Glen R Abedi
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sharon Saydah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa Briggs-Hagen
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Claire M Midgley
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital, San Francisco, California, USA
| | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, USA
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
- Division of Hospital Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
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15
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Mathur S, So M, Tahir P, Peluso MJ, Martin JN, Kelly JD. Performance of Blood-Based Nucleocapsid Antigen Tests for Diagnosis of Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Infectious Viral Shedding: A Systematic Review. Open Forum Infect Dis 2023; 10:ofad346. [PMID: 37547852 PMCID: PMC10400123 DOI: 10.1093/ofid/ofad346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 07/06/2023] [Indexed: 08/08/2023] Open
Abstract
Data on the performance of blood-based nucleocapsid antigen tests for diagnosing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and infectious viral shedding are limited. To address this knowledge gap, we conducted a systematic review to assess the performance of blood-based nucleocapsid (N) antigen tests in diagnosing SARS-CoV-2 infection and identifying infectiousness. This review was registered on PROSPERO (registration no. CRD42022339635). We comprehensively searched PubMed, Embase, Web of Science, and the Coronavirus Research Database for relevant studies published through 27 February 2023. Each study's risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Our findings indicate that the performance of the N-antigen test is influenced by factors such as assay type, sampling timing, and illness severity. Sensitive assays provide suitable methods for viable screening and laboratory diagnostic tests in different clinical and research settings during the early phase of illness.
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Affiliation(s)
- Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San
Francisco, CA, USA
| | - Matthew So
- Department of Epidemiology and Biostatistics, University of California, San
Francisco, CA, USA
| | - Peggy Tahir
- UCSF Library, University of California, San Francisco,
CA, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, Zuckerberg San
Francisco General Hospital, University of California, San Francisco,
California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San
Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San
Francisco, CA, USA
- Institute for Global Health Sciences, University of
California, San Francisco, CA, USA
- Francis I. Proctor foundation, University of California,
San Francisco, USA
- San Francisco Veterans Affairs Medical Centre, San
Francisco, CA, USA
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16
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Augusto DG, Murdolo LD, Chatzileontiadou DSM, Sabatino JJ, Yusufali T, Peyser ND, Butcher X, Kizer K, Guthrie K, Murray VW, Pae V, Sarvadhavabhatla S, Beltran F, Gill GS, Lynch KL, Yun C, Maguire CT, Peluso MJ, Hoh R, Henrich TJ, Deeks SG, Davidson M, Lu S, Goldberg SA, Kelly JD, Martin JN, Vierra-Green CA, Spellman SR, Langton DJ, Dewar-Oldis MJ, Smith C, Barnard PJ, Lee S, Marcus GM, Olgin JE, Pletcher MJ, Maiers M, Gras S, Hollenbach JA. A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection. Nature 2023; 620:128-136. [PMID: 37468623 PMCID: PMC10396966 DOI: 10.1038/s41586-023-06331-x] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/15/2023] [Indexed: 07/21/2023]
Abstract
Studies have demonstrated that at least 20% of individuals infected with SARS-CoV-2 remain asymptomatic1-4. Although most global efforts have focused on severe illness in COVID-19, examining asymptomatic infection provides a unique opportunity to consider early immunological features that promote rapid viral clearance. Here, postulating that variation in the human leukocyte antigen (HLA) loci may underly processes mediating asymptomatic infection, we enrolled 29,947 individuals, for whom high-resolution HLA genotyping data were available, in a smartphone-based study designed to track COVID-19 symptoms and outcomes. Our discovery cohort (n = 1,428) comprised unvaccinated individuals who reported a positive test result for SARS-CoV-2. We tested for association of five HLA loci with disease course and identified a strong association between HLA-B*15:01 and asymptomatic infection, observed in two independent cohorts. Suggesting that this genetic association is due to pre-existing T cell immunity, we show that T cells from pre-pandemic samples from individuals carrying HLA-B*15:01 were reactive to the immunodominant SARS-CoV-2 S-derived peptide NQKLIANQF. The majority of the reactive T cells displayed a memory phenotype, were highly polyfunctional and were cross-reactive to a peptide derived from seasonal coronaviruses. The crystal structure of HLA-B*15:01-peptide complexes demonstrates that the peptides NQKLIANQF and NQKLIANAF (from OC43-CoV and HKU1-CoV) share a similar ability to be stabilized and presented by HLA-B*15:01. Finally, we show that the structural similarity of the peptides underpins T cell cross-reactivity of high-affinity public T cell receptors, providing the molecular basis for HLA-B*15:01-mediated pre-existing immunity.
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Affiliation(s)
- Danillo G Augusto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Lawton D Murdolo
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Demetra S M Chatzileontiadou
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Joseph J Sabatino
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Tasneem Yusufali
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Noah D Peyser
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Xochitl Butcher
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kerry Kizer
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Karoline Guthrie
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Victoria W Murray
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Vivian Pae
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Sannidhi Sarvadhavabhatla
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Fiona Beltran
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gurjot S Gill
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kara L Lynch
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Cassandra Yun
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Colin T Maguire
- Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Michelle Davidson
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Cynthia A Vierra-Green
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephen R Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | | | - Michael J Dewar-Oldis
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Corey Smith
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development Brisbane, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter J Barnard
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Sulggi Lee
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gregory M Marcus
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Jeffrey E Olgin
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Division of General Internal Medicine, University of California, San Francisco, CA, USA
| | - Martin Maiers
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jill A Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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17
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Peluso MJ, Ryder D, Flavell R, Wang Y, Levi J, LaFranchi BH, Deveau TM, Buck AM, Munter SE, Asare KA, Aslam M, Koch W, Szabo G, Hoh R, Deswal M, Rodriguez A, Buitrago M, Tai V, Shrestha U, Lu S, Goldberg SA, Dalhuisen T, Durstenfeld MS, Hsue PY, Kelly JD, Kumar N, Martin JN, Gambir A, Somsouk M, Seo Y, Deeks SG, Laszik ZG, VanBrocklin HF, Henrich TJ. Multimodal Molecular Imaging Reveals Tissue-Based T Cell Activation and Viral RNA Persistence for Up to 2 Years Following COVID-19. medRxiv 2023:2023.07.27.23293177. [PMID: 37577714 PMCID: PMC10418298 DOI: 10.1101/2023.07.27.23293177] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The etiologic mechanisms of post-acute medical morbidities and unexplained symptoms (Long COVID) following SARS-CoV-2 infection are incompletely understood. There is growing evidence that viral persistence and immune dysregulation may play a major role. We performed whole-body positron emission tomography (PET) imaging in a cohort of 24 participants at time points ranging from 27 to 910 days following acute SARS-CoV-2 infection using a novel radiopharmaceutical agent, [18F]F-AraG, a highly selective tracer that allows for anatomical quantitation of activated T lymphocytes. Tracer uptake in the post-acute COVID group, which included those with and without Long COVID symptoms, was significantly higher compared to pre-pandemic controls in many anatomical regions, including the brain stem, spinal cord, bone marrow, nasopharyngeal and hilar lymphoid tissue, cardiopulmonary tissues, and gut wall. Although T cell activation tended to be higher in participants imaged closer to the time of the acute illness, tracer uptake was increased in participants imaged up to 2.5 years following SARS-CoV-2 infection. We observed that T cell activation in spinal cord and gut wall was associated with the presence of Long COVID symptoms. In addition, tracer uptake in lung tissue was higher in those with persistent pulmonary symptoms. Notably, increased T cell activation in these tissues was also observed in many individuals without Long COVID. Given the high [18F]F-AraG uptake detected in the gut, we obtained colorectal tissue for in situ hybridization SARS-CoV-2 RNA and immunohistochemical studies in a subset of participants with Long COVID symptoms. We identified cellular SARS-CoV-2 RNA in rectosigmoid lamina propria tissue in all these participants, ranging from 158 to 676 days following initial COVID-19 illness, suggesting that tissue viral persistence could be associated with long-term immunological perturbations.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Dylan Ryder
- Division of Experimental Medicine, University of California San Francisco
| | - Robert Flavell
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Yingbing Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | | | - Brian H. LaFranchi
- Division of Experimental Medicine, University of California San Francisco
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California San Francisco
| | - Amanda M. Buck
- Division of Experimental Medicine, University of California San Francisco
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California San Francisco
| | - Kofi A. Asare
- Division of Experimental Medicine, University of California San Francisco
| | - Maya Aslam
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Wally Koch
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Gyula Szabo
- Department of Pathology, University of California San Francisco
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Monika Deswal
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Antonio Rodriguez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Melissa Buitrago
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Uttam Shrestha
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Thomas Dalhuisen
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | | | | | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Nitasha Kumar
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | | | - Ma Somsouk
- Division of Gastroenterology, University of California San Francisco
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA USA
| | | | - Henry F. VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California San Francisco
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California San Francisco
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Horwitz LI, Thaweethai T, Brosnahan SB, Cicek MS, Fitzgerald ML, Goldman JD, Hess R, Hodder SL, Jacoby VL, Jordan MR, Krishnan JA, Laiyemo AO, Metz TD, Nichols L, Patzer RE, Sekar A, Singer NG, Stiles LE, Taylor BS, Ahmed S, Algren HA, Anglin K, Aponte-Soto L, Ashktorab H, Bassett IV, Bedi B, Bhadelia N, Bime C, Bind MAC, Black LJ, Blomkalns AL, Brim H, Castro M, Chan J, Charney AW, Chen BK, Chen LQ, Chen P, Chestek D, Chibnik LB, Chow DC, Chu HY, Clifton RG, Collins S, Costantine MM, Cribbs SK, Deeks SG, Dickinson JD, Donohue SE, Durstenfeld MS, Emery IF, Erlandson KM, Facelli JC, Farah-Abraham R, Finn AV, Fischer MS, Flaherman VJ, Fleurimont J, Fonseca V, Gallagher EJ, Gander JC, Gennaro ML, Gibson KS, Go M, Goodman SN, Granger JP, Greenway FL, Hafner JW, Han JE, Harkins MS, Hauser KSP, Heath JR, Hernandez CR, Ho O, Hoffman MK, Hoover SE, Horowitz CR, Hsu H, Hsue PY, Hughes BL, Jagannathan P, James JA, John J, Jolley S, Judd SE, Juskowich JJ, Kanjilal DG, Karlson EW, Katz SD, Kelly JD, Kelly SW, Kim AY, Kirwan JP, Knox KS, Kumar A, Lamendola-Essel MF, Lanca M, Lee-lannotti JK, Lefebvre RC, Levy BD, Lin JY, Logarbo BP, Logue JK, Longo MT, Luciano CA, Lutrick K, Malakooti SK, Mallett G, Maranga G, Marathe JG, Marconi VC, Marshall GD, Martin CF, Martin JN, May HT, McComsey GA, McDonald D, Mendez-Figueroa H, Miele L, Mittleman MA, Mohandas S, Mouchati C, Mullington JM, Nadkarni GN, Nahin ER, Neuman RB, Newman LT, Nguyen A, Nikolich JZ, Ofotokun I, Ogbogu PU, Palatnik A, Palomares KTS, Parimon T, Parry S, Parthasarathy S, Patterson TF, Pearman A, Peluso MJ, Pemu P, Pettker CM, Plunkett BA, Pogreba-Brown K, Poppas A, Porterfield JZ, Quigley JG, Quinn DK, Raissy H, Rebello CJ, Reddy UM, Reece R, Reeder HT, Rischard FP, Rosas JM, Rosen CJ, Rouphael NG, Rouse DJ, Ruff AM, Saint Jean C, Sandoval GJ, Santana JL, Schlater SM, Sciurba FC, Selvaggi C, Seshadri S, Sesso HD, Shah DP, Shemesh E, Sherif ZA, Shinnick DJ, Simhan HN, Singh U, Sowles A, Subbian V, Sun J, Suthar MS, Teunis LJ, Thorp JM, Ticotsky A, Tita ATN, Tragus R, Tuttle KR, Urdaneta AE, Utz PJ, VanWagoner TM, Vasey A, Vernon SD, Vidal C, Walker T, Ward HD, Warren DE, Weeks RM, Weiner SJ, Weyer JC, Wheeler JL, Whiteheart SW, Wiley Z, Williams NJ, Wisnivesky JP, Wood JC, Yee LM, Young NM, Zisis SN, Foulkes AS. Researching COVID to Enhance Recovery (RECOVER) adult study protocol: Rationale, objectives, and design. PLoS One 2023; 18:e0286297. [PMID: 37352211 PMCID: PMC10289397 DOI: 10.1371/journal.pone.0286297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/12/2023] [Indexed: 06/25/2023] Open
Abstract
IMPORTANCE SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. METHODS RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. DISCUSSION RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options. REGISTRATION NCT05172024.
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Affiliation(s)
- Leora I. Horwitz
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Tanayott Thaweethai
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Shari B. Brosnahan
- Division of Pulmonary Critical Care and Sleep Medicine, NYU Langone Health, New York, New York, United States of America
| | - Mine S. Cicek
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Megan L. Fitzgerald
- Patient Led Research Collaboration on COVID-19, Washington, DC, United States of America
| | - Jason D. Goldman
- Division of Infectious Diseases, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Rachel Hess
- Department of Population Health Sciences and Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - S. L. Hodder
- Department of Medicine, West Virginia University, Morgantown, West Virginia, United States of America
| | - Vanessa L. Jacoby
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California, United States of America
| | - Michael R. Jordan
- Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Medford, Massachusetts, United States of America
| | - Jerry A. Krishnan
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Adeyinka O. Laiyemo
- Department of Medicine, Howard University, Washington, DC, United States of America
| | - Torri D. Metz
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, Utah, United States of America
| | - Lauren Nichols
- Body Politic COVID-19 Support Group, Boston, Massachusetts, United States of America
| | - Rachel E. Patzer
- Department of Medicine and Surgery, Health Services Research Center, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Anisha Sekar
- Patient Led Research Collaboration on COVID-19, Washington, DC, United States of America
| | - Nora G. Singer
- Department of Medicine and Rheumatology, The MetroHealth Medical Center, Cleveland, Ohio, United States of America
| | - Lauren E. Stiles
- Department of Neurology, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, United States of America
| | - Barbara S. Taylor
- Department of Medicine, Division of Infectious Diseases and Infectious Diseases, Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Shifa Ahmed
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Heather A. Algren
- Swedish Center for Research and Innovation, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California at San Francisco Institute of Global Health Sciences, San Francisco, San Francisco, California, United States of America
| | - Lisa Aponte-Soto
- College of Science and Health, Department of Health Sciences, DePaul University, Chicago, Illinois, United States of America
| | - Hassan Ashktorab
- Department of Medicine, Howard University, Washington, DC, United States of America
| | - Ingrid V. Bassett
- Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Brahmchetna Bedi
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Nahid Bhadelia
- Center for Emerging Infectious Diseases Policy and Research, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Christian Bime
- Department of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Marie-Abele C. Bind
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Lora J. Black
- Department of Clinical Research, Sanford Research, Sioux Falls, South Dakota, United States of America
| | - Andra L. Blomkalns
- Department of Emergency Medicine, Stanford University, Stanford, California, United States of America
| | - Hassan Brim
- Department of Pathology, Howard University, Washington, DC, United States of America
| | - Mario Castro
- Division of Pulmonary and Critical Care, University of Kansas Medical Center, Kansas City, Kansas City, United States of America
| | - James Chan
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Alexander W. Charney
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Benjamin K. Chen
- Division of Infectious Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Li Qing Chen
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Peter Chen
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - David Chestek
- Department of Emergency Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Lori B. Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Dominic C. Chow
- Department of Medicine, University of Hawaii at Manoa John A. Burns School of Medicine, Honolulu, Hawaii, United States of America
| | - Helen Y. Chu
- Department of Allergy & Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - Rebecca G. Clifton
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Shelby Collins
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Maged M. Costantine
- Department of Obstetrics and Gynecology, The Ohio State University Hospital, Columbus, Ohio, United States of America
| | - Sushma K. Cribbs
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Steven G. Deeks
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - John D. Dickinson
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Sarah E. Donohue
- Department of Research Services, University of Illinois College of Medicine, Peoria, Illinois, United States of America
| | - Matthew S. Durstenfeld
- Department of Medicine, Division of Cardiology at Zuckerberg San Francisco General, University of California San Francisco, San Francisco, California, United States of America
| | - Ivette F. Emery
- MaineHealth Institute for Research, MaineHealth, Scarborough, Maine, United States of America
| | - Kristine M. Erlandson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Julio C. Facelli
- Department of Biomedical Informatics and Clinical and Translational Science Institute, University of Utah, Salt Lake City, Utah, United States of America
| | - Rachael Farah-Abraham
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Aloke V. Finn
- Department of Pathology, CVPath Institute, Gaithersburg, Maryland, United States of America
| | - Melinda S. Fischer
- Department of Medicine, Division of Infectious Diseases and Infectious Diseases, Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas, United States of America
| | - Valerie J. Flaherman
- Department of Pediatrics, University of California, San Francisco, San Francisco, California, United States of America
| | - Judes Fleurimont
- Mile Square Health Center, University of Illinois Chicago, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Vivian Fonseca
- Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, United States of America
| | - Emily J. Gallagher
- Department of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Jennifer C. Gander
- Center for Research and Evaluation, Kaiser Permanente of Georgia, Atlanta, Georgia, United States of America
| | - Maria Laura Gennaro
- Public Health Research Institute and Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, United States of America
| | - Kelly S. Gibson
- Department of Obstetrics and Gynecology, MetroHealth System, Cleveland, Ohio, United States of America
| | - Minjoung Go
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | - Steven N. Goodman
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, United States of America
| | - Joey P. Granger
- Department of Physiology & Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Frank L. Greenway
- Clinical Trials, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - John W. Hafner
- Department of Emergency Medicine, OSF Saint Francis Medical Center, Peoria, Illinois, United States of America
| | - Jenny E. Han
- Department of Pulmonary and Critical Care, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Michelle S. Harkins
- Department of Internal Medicine University of New Mexico, Health Science Center, Albuquerque, New Mexico, United States of America
| | - Kristine S. P. Hauser
- Clinical Research Center, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - James R. Heath
- Department of Bioengineering, Institute for Systems Biology, Seattle, Washington, United States of America
| | - Carla R. Hernandez
- Clinical Research Center, University Hospitals Cleveland Medical Center, Cleveland, Ohio, United States of America
| | - On Ho
- Seattle Children’s Therapeutics, Seattle, Washington, United States of America
| | - Matthew K. Hoffman
- Department of Obstetrics and Gynecology, Christiana Care Health Services, Newark, Delaware, United States of America
| | - Susan E. Hoover
- Department of Clinical Research, Sanford Research, Sioux Falls, South Dakota, United States of America
| | - Carol R. Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Harvey Hsu
- Department of Internal Medicine, University of Arizona, Phoenix, Arizona, United States of America
| | - Priscilla Y. Hsue
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Brenna L. Hughes
- Department of Obstetrics and Gynecology, Duke University, Durham, North Carolina, United States of America
| | - Prasanna Jagannathan
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | - Judith A. James
- Department of Arthritis & Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, United States of America
| | - Janice John
- Department of Family Medicine, Cambridge Health Alliance, Cambridge, Massachusetts, United States of America
| | - Sarah Jolley
- Department of Pulmonary and Critical Care Medicine, University of Colorado, Aurora, Colorado, United States of America
| | - S. E. Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Joy J. Juskowich
- Department of Medicine, Division of Infectious Diseases, West Virginia School of Medicine, Morgantown, West Virginia, United States of America
| | - Diane G. Kanjilal
- Department of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Elizabeth W. Karlson
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Stuart D. Katz
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - J. Daniel Kelly
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Sara W. Kelly
- Department of Pediatrics & Department of Research Services, University of Illinois College of Medicine, Peoria, Illinois, United States of America
| | - Arthur Y. Kim
- Department of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - John P. Kirwan
- Department Integrated Physiology and Molecular Medicine, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - Kenneth S. Knox
- Department of Internal Medicine, University of Arizona, Phoenix, Arizona, United States of America
| | - Andre Kumar
- Department of Medicine, Stanford University, Stanford, California, United States of America
| | | | - Margaret Lanca
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Joyce K. Lee-lannotti
- Department of Internal Medicine and Neurology, University of Arizona College of Medicine Phoenix, Phoenix, Arizona, United States of America
| | - R. Craig Lefebvre
- Communications Practice Area, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Bruce D. Levy
- Department of Internal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Janet Y. Lin
- Department of Emergency Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Brian P. Logarbo
- Tulane Center for Clinical Research, Tulane University School of Medicine, New Orleans, Louisiana, United States of America
| | - Jennifer K. Logue
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Michele T. Longo
- Tulane Center for Clinical Neurosciences, Tulane School of Medicine, New Orleans, Louisiana, United States of America
| | - Carlos A. Luciano
- Department of Neurology, University of Puerto Rico School of Medicine, San Juan, Puerto Rico, United States of America
| | - Karen Lutrick
- Department of Family & Community Medicine, University of Arizona, College of Medicine – Tucson, Tucson, Arizona, United States of America
| | - Shahdi K. Malakooti
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Gail Mallett
- Department of Obstetrics and Gynecology, Northwestern University, Chicago, Illinois, United States of America
| | - Gabrielle Maranga
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Jai G. Marathe
- Department of Medicine, Section of Infectious Diseases, Boston University Medical Center, Boston, Massachusetts, United States of America
| | - Vincent C. Marconi
- Department of Medicine, Infectious Diseases and Department of Global Health, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Gailen D. Marshall
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Christopher F. Martin
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
| | - Heidi T. May
- Department of Cardiology, Intermountain Medical Center, Salt Lake City, Utah, United States of America
| | - Grace A. McComsey
- Department of Medicine, Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Dylan McDonald
- Department of Allergy & Infectious Diseases, University of Washington, Seattle, Washington, United States of America
| | - Hector Mendez-Figueroa
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Lucio Miele
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America
| | - Murray A. Mittleman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sindhu Mohandas
- Department of Infectious Diseases, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, California, United States of America
| | - Christian Mouchati
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Janet M. Mullington
- Department of Neurology and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Girish N. Nadkarni
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Erica R. Nahin
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - Robert B. Neuman
- Division of Cardiology, Kaiser Permanente of Georgia, Atlanta, Georgia, United States of America
| | - Lisa T. Newman
- Department of Social, Statistical and Environmental Sciences, RTI International, Research Triangle Park, North Carolina, United States of America
| | - Amber Nguyen
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Janko Z. Nikolich
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, Arizona, United States of America
| | - Igho Ofotokun
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Princess U. Ogbogu
- Division of Pediatric Allergy, Immunology, and Rheumatology, University Hospitals Rainbow Babies and Children’s Hospital, Cleveland, Ohio, United States of America
| | - Anna Palatnik
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Kristy T. S. Palomares
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Saint Peter’s University Hospital, New Brunswick, New Jersey, United States of America
| | - Tanyalak Parimon
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Samuel Parry
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Sairam Parthasarathy
- Department of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Thomas F. Patterson
- Department of Medicine, Department of Infectious Disease, University of Texas Health, San Antonio, Texas, United States of America
| | - Ann Pearman
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, United States of America
| | - Priscilla Pemu
- Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia, United States of America
| | - Christian M. Pettker
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Beth A. Plunkett
- Department of Obstetrics and Gynecology, NorthShore University Health System, Evanston, Illinois, United States of America
| | - Kristen Pogreba-Brown
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, Arizona, United States of America
| | - Athena Poppas
- Division of Cardiology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - J. Zachary Porterfield
- Department of Internal Medicine, Division of Infectious Diseases, University of Kentucky, Lexington, Kentucky, United States of America
| | - John G. Quigley
- Department of Medicine, Division of Hematology/Oncology, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Davin K. Quinn
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, New Mexico, United States of America
| | - Hengameh Raissy
- Department of Pediatrics, University of New Mexico, Health Sciences Center, Albuquerque, New Mexico, United States of America
| | - Candida J. Rebello
- Department of Nutrition and Chronic Disease, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America
| | - Uma M. Reddy
- Department of Obstetrics and Gynecology, Columbia University, New York, New York, United States of America
| | - Rebecca Reece
- Department of Medicine, Division of Infectious Diseases, West Virginia School of Medicine, Morgantown, West Virginia, United States of America
| | - Harrison T. Reeder
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Franz P. Rischard
- Department of Pulmonary and Critical Care, University of Arizona, Tucson, Arizona, United States of America
| | - Johana M. Rosas
- Department of Medicine, NYU Langone Health, New York, New York, United States of America
| | - Clifford J. Rosen
- MaineHealth Institute for Research, MaineHealth, Scarborough, Maine, United States of America
| | - Nadine G. Rouphael
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Dwight J. Rouse
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island, United States of America
| | - Adam M. Ruff
- Division of Pulmonary and Critical Care, University of Kansas Medical Center, Kansas City, Kansas City, United States of America
| | - Christina Saint Jean
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Grecio J. Sandoval
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Jorge L. Santana
- Department of Medicine, University of Puerto Rico, San Juan, Puerto Rico, United States of America
| | - Shannon M. Schlater
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States of America
| | - Frank C. Sciurba
- Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Caitlin Selvaggi
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center San Antonio, San Antonio, Texas, United States of America
| | - Howard D. Sesso
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Dimpy P. Shah
- Department of Population Health Sciences, Mays Cancer Center, University of Texas Health, San Antonio, Texas, United States of America
| | - Eyal Shemesh
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Zaki A. Sherif
- Department of Biochemistry & Molecular Biology, Howard University College of Medicine, Washington, DC, United States of America
| | - Daniel J. Shinnick
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Hyagriv N. Simhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States of America
| | - Upinder Singh
- Department of Internal Medicine, Stanford University, Stanford, California, United States of America
| | - Amber Sowles
- Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, Utah, United States of America
| | - Vignesh Subbian
- Department of Biomedical Engineering, Department of Systems and Industrial Engineering, University of Arizona College of Engineering, Tucson, Arizona, United States of America
| | - Jun Sun
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, United States of America
| | - Mehul S. Suthar
- Department of Pediatrics, Emory Vaccine Center, Emory University, Atlanta, Georgia, United States of America
| | - Larissa J. Teunis
- Health Services Research Center, Emory University, Atlanta, Georgia, United States of America
| | - John M. Thorp
- Department of Obstetrics and Gynecology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Amberly Ticotsky
- Department of Family Medicine, Cambridge Health Alliance, Cambridge, Massachusetts, United States of America
| | - Alan T. N. Tita
- Department of Obstetrics and Gynecology and Center for Women’s Reproductive Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Robin Tragus
- Department of Medicine, University of Texas Health Science Center, San Antonio, Texas, United States of America
| | - Katherine R. Tuttle
- Department of Medicine, Division of Nephrology, University of Washington School of Medicine, Spokane, Washington, United States of America
| | - Alfredo E. Urdaneta
- Department of Emergency Medicine, Stanford University, Stanford, California, United States of America
| | - P. J. Utz
- Department of Internal Medicine, Stanford University, Stanford, California, United States of America
| | - Timothy M. VanWagoner
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, United States of America
| | - Andrew Vasey
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Suzanne D. Vernon
- Department of Research, Bateman Horne Center, Salt Lake City, Utah, United States of America
| | - Crystal Vidal
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Tiffany Walker
- Department of Medicine, Emory University, Atlanta, Georgia, United States of America
| | - Honorine D. Ward
- Department of Medicine, Tufts Medical Center, Boston, Massachusetts, United States of America
| | - David E. Warren
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States of America
| | - Ryan M. Weeks
- Department of Microbiology, Immunology, and Molecular Genetics, University of Kentucky, Lexington, Kentucky, United States of America
| | - Steven J. Weiner
- Department of Biostatistics, George Washington University, Washington, DC, United States of America
| | - Jordan C. Weyer
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Jennifer L. Wheeler
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Sidney W. Whiteheart
- Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, Kentucky, United States of America
| | - Zanthia Wiley
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Natasha J. Williams
- Institute for Excellence in Health Equity, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Juan P. Wisnivesky
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - John C. Wood
- Department of Pediatrics and Radiology, Children’s Hospital of Los Angeles, Los Angeles, California, United States of America
| | - Lynn M. Yee
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Natalie M. Young
- Swedish Center for Research and Innovation, Providence Swedish Medical Center, Seattle, Washington, United States of America
| | - Sokratis N. Zisis
- Department of Medicine, Department of Pediatrics, Case Western Reserve University School of Medicine, Cleveland, Ohio, United States of America
| | - Andrea S. Foulkes
- Department of Biostatistics, Massachusetts General Hospital, Boston, Massachusetts, United States of America
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19
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Deyoe JE, Kelly JD, Grijalva CG, Bonenfant G, Lu S, Anglin K, Garcia-Knight M, Pineda-Ramirez J, Hagen MB, Saydah S, Abedi GR, Goldberg SA, Tassetto M, Zhang A, Donohue KC, Davidson MC, Sanchez RD, Djomaleu M, Mathur S, Shak JR, Deeks SG, Peluso MJ, Chiu CY, Zhu Y, Halasa NB, Chappell JD, Mellis A, Reed C, Andino R, Martin JN, Zhou B, Talbot HK, Midgley CM, Rolfes MA. Association of Culturable-Virus Detection and Household Transmission of SARS-CoV-2, California and Tennessee, 2020-2022. J Infect Dis 2023; 227:1343-1347. [PMID: 36705269 PMCID: PMC10266938 DOI: 10.1093/infdis/jiad018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/27/2022] [Accepted: 01/23/2023] [Indexed: 01/28/2023] Open
Abstract
From 2 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) household transmission studies (enrolling April 2020 to January 2022) with rapid enrollment and specimen collection for 14 days, 61% (43/70) of primary cases had culturable virus detected ≥6 days post-onset. Risk of secondary infection among household contacts tended to be greater when primary cases had culturable virus detected after onset. Regardless of duration of culturable virus, most secondary infections (70%, 28/40) had serial intervals <6 days, suggesting early transmission. These data examine viral culture as a proxy for infectiousness, reaffirm the need for rapid control measures after infection, and highlight the potential for prolonged infectiousness (≥6 days) in many individuals.
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Affiliation(s)
- Jessica E Deyoe
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
- F.I. Proctor Foundation, University of California, San Francisco, California, USA
| | | | - Gaston Bonenfant
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | | | - Sharon Saydah
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Glen R Abedi
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Michel Tassetto
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Amethyst Zhang
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Kevin C Donohue
- School of Medicine, University of California, San Francisco, California, USA
| | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, California, USA
| | - Ruth Diaz Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Manuella Djomaleu
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Joshua R Shak
- San Francisco VA Medical Center, San Francisco, California, USA
- School of Medicine, University of California, San Francisco, California, USA
| | - Steven G Deeks
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, USA
| | - Michael J Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, USA
| | - Charles Y Chiu
- Division of Infectious Diseases, University of California, San Francisco, California, USA
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Alexandra Mellis
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carrie Reed
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Bin Zhou
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Claire M Midgley
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa A Rolfes
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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20
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Bodansky A, Wang CY, Saxena A, Mitchell A, Kung AF, Takahashi S, Anglin K, Huang B, Hoh R, Lu S, Goldberg SA, Romero J, Tran B, Kirtikar R, Grebe H, So M, Greenhouse B, Durstenfeld MS, Hsue PY, Hellmuth J, Kelly JD, Martin JN, Anderson MS, Deeks SG, Henrich TJ, DeRisi JL, Peluso MJ. Autoantigen profiling reveals a shared post-COVID signature in fully recovered and long COVID patients. JCI Insight 2023; 8:e169515. [PMID: 37288661 PMCID: PMC10393220 DOI: 10.1172/jci.insight.169515] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/03/2023] [Indexed: 06/09/2023] Open
Abstract
Some individuals do not return to baseline health following SARS-CoV-2 infection, leading to a condition known as long COVID. The underlying pathophysiology of long COVID remains unknown. Given that autoantibodies have been found to play a role in severity of SARS-CoV-2 infection and certain other post-COVID sequelae, their potential role in long COVID is important to investigate. Here, we apply a well-established, unbiased, proteome-wide autoantibody detection technology (T7 phage-display assay with immunoprecipitation and next-generation sequencing, PhIP-Seq) to a robustly phenotyped cohort of 121 individuals with long COVID, 64 individuals with prior COVID-19 who reported full recovery, and 57 pre-COVID controls. While a distinct autoreactive signature was detected that separated individuals with prior SARS-CoV-2 infection from those never exposed to SARS-CoV-2, we did not detect patterns of autoreactivity that separated individuals with long COVID from individuals fully recovered from COVID-19. These data suggest that there are robust alterations in autoreactive antibody profiles due to infection; however, no association of autoreactive antibodies and long COVID was apparent by this assay.
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Affiliation(s)
- Aaron Bodansky
- Division of Pediatric Critical Care Medicine, UCSF, San Francisco, California, USA
| | - Chung-Yu Wang
- Chan Zuckerberg Biohub Network, San Francisco, California, USA
| | - Aditi Saxena
- Chan Zuckerberg Biohub Network, San Francisco, California, USA
| | - Anthea Mitchell
- Chan Zuckerberg Biohub Network, San Francisco, California, USA
| | | | - Saki Takahashi
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | | | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Scott Lu
- Department of Epidemiology and Biostatistics
| | | | - Justin Romero
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Brandon Tran
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Raushun Kirtikar
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Halle Grebe
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Matthew So
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Bryan Greenhouse
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | | | | | | | | | | | | | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
| | - Timothy J. Henrich
- Division of Experimental Medicine, Department of Medicine, UCSF, San Francisco, California, USA
| | | | - Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine
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21
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Kelly JD, Leonard S, Boscardin WJ, Hoggatt KJ, Lum EN, Austin CC, Byers A, Tien PC, Austin PC, Bravata DM, Keyhani S. Comparative mRNA booster effectiveness against death or hospitalization with COVID-19 pneumonia across at-risk US Veteran populations. Nat Commun 2023; 14:2976. [PMID: 37221198 PMCID: PMC10205032 DOI: 10.1038/s41467-023-38503-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/05/2023] [Indexed: 05/25/2023] Open
Abstract
Studies of comparative mRNA booster effectiveness among high-risk populations can inform mRNA booster-specific guidelines. The study emulated a target trial of COVID-19 vaccinated U.S. Veterans who received three doses of either mRNA-1273 or BNT162b2 vaccines. Participants were followed for up to 32 weeks between July 1, 2021 to May 30, 2022. Non-overlapping populations were average and high risk; high-risk sub-groups were age ≥65 years, high-risk co-morbid conditions, and immunocompromising conditions. Of 1,703,189 participants, 10.9 per 10,000 persons died or were hospitalized with COVID-19 pneumonia over 32 weeks (95% CI: 10.2, 11.8). Although relative risks of death or hospitalization with COVID-19 pneumonia were similar across at-risk groups, absolute risk varied when comparing three doses of BNT162b2 with mRNA-1273 (BNT162b2 minus mRNA-1273) between average-risk and high-risk populations, confirmed by the presence of additive interaction. The risk difference of death or hospitalization with COVID-19 pneumonia for high-risk populations was 2.2 (0.9, 3.6). Effects were not modified by predominant viral variant. In this work, the risk of death or hospitalization with COVID-19 pneumonia over 32 weeks was lower among high-risk populations who received three doses of mRNA-1273 vaccine instead of BNT162b2 vaccine; no difference was found among the average-risk population and age >65 sub-group.
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Affiliation(s)
- J Daniel Kelly
- San Francisco VA Medical Center, San Francisco, CA, USA.
- Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA.
- F.I. Proctor Foundation, UCSF, San Francisco, CA, USA.
| | | | - W John Boscardin
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA
| | - Katherine J Hoggatt
- San Francisco VA Medical Center, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Emily N Lum
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Charles C Austin
- Department of Veterans Affairs (VA) Health Services and Development (HSR&D) Center for Health Information and Communication (CHIC) and the Department of Medicine, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
- Veterans Affairs Medical Center, Indianapolis, IN, USA
| | - Amy Byers
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Phyllis C Tien
- San Francisco VA Medical Center, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Peter C Austin
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Dawn M Bravata
- Department of Veterans Affairs (VA) Health Services and Development (HSR&D) Center for Health Information and Communication (CHIC) and the Department of Medicine, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Regenstrief Institute, Indianapolis, IN, USA
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22
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Byrum JR, Waltari E, Janson O, Guo SM, Folkesson J, Chhun BB, Vinden J, Ivanov IE, Forst ML, Li H, Larson AG, Blackmon L, Liu Z, Wu W, Ahyong V, Tato CM, McCutcheon KM, Hoh R, Kelly JD, Martin JN, Peluso MJ, Henrich TJ, Deeks SG, Prakash M, Greenhouse B, Mehta SB, Pak JE. MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection. Pathogens 2023; 12:671. [PMID: 37242341 PMCID: PMC10221076 DOI: 10.3390/pathogens12050671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
A multiplexed enzyme-linked immunosorbent assay (ELISA) that simultaneously measures antibody binding to multiple antigens can extend the impact of serosurveillance studies, particularly if the assay approaches the simplicity, robustness, and accuracy of a conventional single-antigen ELISA. Here, we report on the development of multiSero, an open-source multiplex ELISA platform for measuring antibody responses to viral infection. Our assay consists of three parts: (1) an ELISA against an array of proteins in a 96-well format; (2) automated imaging of each well of the ELISA array using an open-source plate reader; and (3) automated measurement of optical densities for each protein within the array using an open-source analysis pipeline. We validated the platform by comparing antibody binding to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigens in 217 human sera samples, showing high sensitivity (0.978), specificity (0.977), positive predictive value (0.978), and negative predictive value (0.977) for classifying seropositivity, a high correlation of multiSero determined antibody titers with commercially available SARS-CoV-2 antibody tests, and antigen-specific changes in antibody titer dynamics upon vaccination. The open-source format and accessibility of our multiSero platform can contribute to the adoption of multiplexed ELISA arrays for serosurveillance studies, for SARS-CoV-2 and other pathogens of significance.
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Affiliation(s)
- Janie R. Byrum
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Eric Waltari
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Owen Janson
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
- EPPIcenter Program, University of California, San Francisco, CA 94143, USA
| | - Syuan-Ming Guo
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Jenny Folkesson
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Bryant B. Chhun
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Joanna Vinden
- Infectious Diseases and Immunity Graduate Program, University of California, Berkeley, CA 94720-3370, USA
| | - Ivan E. Ivanov
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Marcus L. Forst
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Hongquan Li
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Adam G. Larson
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Lena Blackmon
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Ziwen Liu
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Wesley Wu
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Vida Ahyong
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - Cristina M. Tato
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | | | - Rebecca Hoh
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Michael J. Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, CA 94110, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
| | - Manu Prakash
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Bryan Greenhouse
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA
- EPPIcenter Program, University of California, San Francisco, CA 94143, USA
| | - Shalin B. Mehta
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
| | - John E. Pak
- Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA
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23
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Gayedyu-Dennis D, Fallah MP, Drew C, Badio M, Moses JS, Fayiah T, Johnson K, Richardson ET, Weiser SD, Porco TC, Martin JN, Sneller MC, Rutherford GW, Reilly C, Lindan CP, Kelly JD. Identifying Paucisymptomatic or Asymptomatic and Unrecognized Ebola Virus Disease Among Close Contacts Based on Exposure Risk Assessments and Screening Algorithms. J Infect Dis 2023; 227:878-887. [PMID: 36047331 PMCID: PMC10319948 DOI: 10.1093/infdis/jiac359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/23/2022] [Accepted: 08/30/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND There is limited evidence to evaluate screening algorithms with rapid antigen testing and exposure assessments as identification strategies for paucisymptomatic or asymptomatic Ebola virus (EBOV) infection and unrecognized EBOV disease (EVD). METHODS We used serostatus and self-reported postexposure symptoms from a cohort study to classify contact-participants as having no infection, paucisymptomatic or asymptomatic infection, or unrecognized EVD. Exposure risk was categorized as low, intermediate, or high. We created hypothetical scenarios to evaluate the World Health Organization (WHO) case definition with or without rapid diagnostic testing (RDT) or exposure assessments. RESULTS This analysis included 990 EVD survivors and 1909 contacts, of whom 115 (6%) had paucisymptomatic or asymptomatic EBOV infection, 107 (6%) had unrecognized EVD, and 1687 (88%) were uninfected. High-risk exposures were drivers of unrecognized EVD (adjusted odds ratio, 3.5 [95% confidence interval, 2.4-4.9]). To identify contacts with unrecognized EVD who test negative by the WHO case definition, the sensitivity was 96% with RDT (95% confidence interval, 91%-99%), 87% with high-risk exposure (82%-92%), and 97% with intermediate- to high-risk exposures (93%-99%). The proportion of false-positives was 2% with RDT and 53%-93% with intermediate- and/or high-risk exposures. CONCLUSION We demonstrated the utility and trade-offs of sequential screening algorithms with RDT or exposure risk assessments as identification strategies for contacts with unrecognized EVD.
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Affiliation(s)
- Dehkontee Gayedyu-Dennis
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
| | - Mosoka P Fallah
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
- A.M. Dogliotti College of Medicine, University of Liberia, Monrovia, Liberia
| | - Clara Drew
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Moses Badio
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - J S Moses
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Tamba Fayiah
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
| | - Kumblytee Johnson
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
| | - Eugene T Richardson
- Department of Medicine, Brigham and Women’s Hospital, Boston, Minnesota, USA
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Minnesota, USA
| | - Sheri D Weiser
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Travis C Porco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Michael C Sneller
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Cavan Reilly
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Christina P Lindan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - J D Kelly
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), Monrovia, Liberia
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
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24
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Buck AM, Deitchman AN, Takahashi S, Lu S, Goldberg SA, Hoh R, Williams MC, Kerbleski M, Deveau TM, Munter SE, Lombardo J, Wrin T, Petropoulos CJ, Durstenfeld MS, Hsue PY, Kelly JD, Greenhouse B, Martin JN, Deeks SG, Peluso MJ, Henrich TJ. The Breadth of the Neutralizing Antibody Response to Original SARS-CoV-2 Infection is Linked to the Presence of Long COVID Symptoms. medRxiv 2023:2023.03.30.23287923. [PMID: 37034660 PMCID: PMC10081395 DOI: 10.1101/2023.03.30.23287923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Background The associations between longitudinal dynamics and the breadth of SARS-CoV-2 neutralizing antibody response with various Long COVID (LC) phenotypes prior to vaccination are not known. The capacity of antibodies to cross neutralize a variety of viral variants may be associated with ongoing pathology and persistent symptoms. Methods We measured longitudinal neutralizing and cross-neutralizing antibody responses to pre- and post-SARS-CoV-2 Omicron variants in participants infected during the early waves of the COVID-19 pandemic, prior to wide-spread rollout of SARS-CoV-2 vaccines. Cross sectional regression models adjusted for various clinical covariates and longitudinal mixed effects models were used to determine the impact of the breadth and rate of decay of neutralizing responses on the development of Long COVID symptoms in general, as well as LC phenotypes. Results We identified several novel relationships between SARS-CoV-2 antibody neutralization and the presence of LC symptoms. Specifically, we show that, although neutralizing antibody responses to the original, infecting strain of SARS-CoV-2 were not associated with LC in cross-sectional analyses, cross-neutralization ID50 levels to the Omicron BA.5 variant approximately 4 months following acute infection was independently and significantly associated with greater odds of LC and with persistent gastrointestinal and neurological symptoms. Longitudinal modeling demonstrated significant associations in the overall levels and rates of decay of neutralization capacity with LC phenotypes. A higher proportion of participants had antibodies capable of neutralizing Omicron BA.5 compared with BA.1 or XBB.1.5 variants. Conclusions Our findings suggest that relationships between various immune responses and LC are likely complex but may involve the breadth of antibody neutralization responses.
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Affiliation(s)
- Amanda M. Buck
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Amelia N. Deitchman
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA, United States
| | - Saki Takahashi
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Rebecca Hoh
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Meghann C. Williams
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Marian Kerbleski
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
| | - James Lombardo
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Terri Wrin
- Monogram Biosciences, South San Francisco, CA, United States
| | | | - Matthew S. Durstenfeld
- Division of Cardiology, University of California San Francisco, San Francisco, CA, United States
| | - Priscilla Y. Hsue
- Division of Cardiology, University of California San Francisco, San Francisco, CA, United States
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Bryan Greenhouse
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Steven G. Deeks
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Michael J. Peluso
- Division of HIV, ID and Global Medicine, University of California San Francisco, San Francisco, CA, United States
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California San Francisco, San Francisco, CA, United States
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Durstenfeld MS, Peluso MJ, Kaveti P, Hill C, Li D, Sander E, Swaminathan S, Arechiga VM, Lu S, Goldberg SA, Hoh R, Chenna A, Yee BC, Winslow JW, Petropoulos CJ, Kelly JD, Glidden DV, Henrich TJ, Martin JN, Lee YJ, Aras MA, Long CS, Grandis DJ, Deeks SG, Hsue PY. Reduced exercise capacity, chronotropic incompetence, and early systemic inflammation in cardiopulmonary phenotype Long COVID. medRxiv 2023:2022.05.17.22275235. [PMID: 35677073 PMCID: PMC9176659 DOI: 10.1101/2022.05.17.22275235] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Mechanisms underlying persistent cardiopulmonary symptoms following SARS-CoV-2 infection (post-acute sequelae of COVID-19 "PASC" or "Long COVID") remain unclear. This study sought to elucidate mechanisms of cardiopulmonary symptoms and reduced exercise capacity using advanced cardiac testing. METHODS We performed cardiopulmonary exercise testing (CPET), cardiac magnetic resonance imaging (CMR) and ambulatory rhythm monitoring among adults > 1 year after confirmed SARS-CoV-2 infection in Long-Term Impact of Infection with Novel Coronavirus cohort (LIINC; substudy of NCT04362150 ). Adults who completed a research echocardiogram (at a median 6 months after SARS-CoV-2 infection) without evidence of heart failure or pulmonary hypertension were asked to complete additional cardiopulmonary testing approximately 1 year later. Although participants were recruited as a prospective cohort, to account for selection bias, the primary analyses were as a case-control study comparing those with and without persistent cardiopulmonary symptoms. We also correlated findings with previously measured biomarkers. We used logistic regression and linear regression models to adjust for potential confounders including age, sex, body mass index, time since SARS-CoV-2 infection, and hospitalization for acute SARS-CoV-2 infection, with sensitivity analyses adjusting for medical history. RESULTS Sixty participants (unselected for symptoms, median age 53, 42% female, 87% non- hospitalized) were studied at median 17.6 months following SARS-CoV-2 infection. On maximal CPET, 18/37 (49%) with symptoms had reduced exercise capacity (peak VO 2 <85% predicted) compared to 3/19 (16%) without symptoms (p=0.02). The adjusted peak VO 2 was 5.2 ml/kg/min (95%CI 2.1-8.3; p=0.001) or 16.9% lower actual compared to predicted (95%CI 4.3- 29.6; p=0.02) among those with symptoms compared to those without symptoms. Chronotropic incompetence was present among 12/21 (57%) with reduced VO 2 including 11/37 (30%) with symptoms and 1/19 (5%) without (p=0.04). Inflammatory markers (hsCRP, IL-6, TNF-α) and SARS-CoV-2 antibody levels measured early in PASC were negatively correlated with peak VO 2 more than 1 year later. Late-gadolinium enhancement on CMR and arrhythmias on ambulatory monitoring were not present. CONCLUSIONS We found evidence of objectively reduced exercise capacity among those with cardiopulmonary symptoms more than 1 year following COVID-19, which was associated with elevated inflammatory markers early in PASC. Chronotropic incompetence may explain exercise intolerance among some with cardiopulmonary phenotype Long COVID. Key Points Long COVID symptoms were associated with reduced exercise capacity on cardiopulmonary exercise testing more than 1 year after SARS-CoV-2 infection. The most common abnormal finding was chronotropic incompetence. Reduced exercise capacity was associated with early elevations in inflammatory markers.
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Bodansky A, Wang CY, Saxena A, Mitchell A, Takahashi S, Anglin K, Huang B, Hoh R, Lu S, Goldberg SA, Romero J, Tran B, Kirtikar R, Grebe H, So M, Greenhouse B, Durstenfeld MS, Hsue PY, Hellmuth J, Kelly JD, Martin JN, Anderson MS, Deeks SG, Henrich TJ, DeRisi JL, Peluso MJ. Autoantigen profiling reveals a shared post-COVID signature in fully recovered and Long COVID patients. medRxiv 2023:2023.02.06.23285532. [PMID: 36798288 PMCID: PMC9934805 DOI: 10.1101/2023.02.06.23285532] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Some individuals do not return to baseline health following SARS-CoV-2 infection, leading to a condition known as Long COVID. The underlying pathophysiology of Long COVID remains unknown. Given that autoantibodies have been found to play a role in severity of COVID infection and certain other post-COVID sequelae, their potential role in Long COVID is important to investigate. Here we apply a well-established, unbiased, proteome-wide autoantibody detection technology (PhIP-Seq) to a robustly phenotyped cohort of 121 individuals with Long COVID, 64 individuals with prior COVID-19 who reported full recovery, and 57 pre-COVID controls. While a distinct autoreactive signature was detected which separates individuals with prior COVID infection from those never exposed to COVID, we did not detect patterns of autoreactivity that separate individuals with Long COVID relative to individuals fully recovered from SARS-CoV-2 infection. These data suggest that there are robust alterations in autoreactive antibody profiles due to infection; however, no association of autoreactive antibodies and Long COVID was apparent by this assay.
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Affiliation(s)
- Aaron Bodansky
- Division of Pediatric Critical Care Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Saki Takahashi
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Justin Romero
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Brandon Tran
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Raushun Kirtikar
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Halle Grebe
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew So
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Bryan Greenhouse
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew S Durstenfeld
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - Priscilla Y Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna Hellmuth
- Department of Neurology University of California, San Francisco, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Mark S Anderson
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
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Peluso MJ, Deveau TM, Munter SE, Ryder D, Buck A, Beck-Engeser G, Chan F, Lu S, Goldberg SA, Hoh R, Tai V, Torres L, Iyer NS, Deswal M, Ngo LH, Buitrago M, Rodriguez A, Chen JY, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Deitchman AN, Hellmuth J, Spinelli MA, Durstenfeld MS, Hsue PY, Kelly JD, Martin JN, Deeks SG, Hunt PW, Henrich TJ. Chronic viral coinfections differentially affect the likelihood of developing long COVID. J Clin Invest 2023; 133:e163669. [PMID: 36454631 PMCID: PMC9888380 DOI: 10.1172/jci163669] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUNDThe presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.METHODSIn a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and HIV status) and performed serological testing for EBV and CMV using a commercial laboratory. We used covariate-adjusted binary logistic regression models to identify independent associations between variables and LC symptoms.RESULTSWe observed that LC symptoms, such as fatigue and neurocognitive dysfunction, at a median of 4 months following initial diagnosis were independently associated with serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) or high nuclear antigen (EBNA) IgG levels but not with ongoing EBV viremia. Serological evidence suggesting recent EBV reactivation (early antigen-diffuse IgG positivity) was most strongly associated with fatigue (OR = 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR = 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR = 0.52).CONCLUSIONOverall, these findings suggest differential effects of chronic viral coinfections on the likelihood of developing LC and association with distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted.TRIAL REGISTRATIONLong-term Impact of Infection with Novel Coronavirus; ClinicalTrials.gov NCT04362150.FUNDINGThis work was supported by NIH/National Institute of Allergy and Infectious Diseases grants (3R01AI141003-03S1, R01AI158013, and K24AI145806); the Zuckerberg San Francisco General Hospital Department of Medicine and Division of HIV, Infectious Diseases, and Global Medicine; and the UCSF-Bay Area Center for AIDS Research (P30-AI027763).
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Affiliation(s)
| | | | | | | | | | | | - Fay Chan
- Division of Experimental Medicine, and
| | - Scott Lu
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine
| | | | | | - Monika Deswal
- Division of HIV, Infectious Diseases, and Global Medicine
| | - Lynn H. Ngo
- Division of HIV, Infectious Diseases, and Global Medicine
| | | | | | | | - Brandon C. Yee
- Monogram Biosciences Inc., South San Francisco, California, USA
| | - Ahmed Chenna
- Monogram Biosciences Inc., South San Francisco, California, USA
| | - John W. Winslow
- Monogram Biosciences Inc., South San Francisco, California, USA
| | | | | | | | | | | | | | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, California, USA
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Peluso MJ, Mitchell A, Wang CY, Takahashi S, Hoh R, Tai V, Durstenfeld MS, Hsue PY, Kelly JD, Martin JN, Wilson MR, Greenhouse B, Deeks SG, DeRisi JL, Henrich TJ. Low Prevalence of Interferon α Autoantibodies in People Experiencing Symptoms of Post-Coronavirus Disease 2019 (COVID-19) Conditions, or Long COVID. J Infect Dis 2023; 227:246-250. [PMID: 36089700 PMCID: PMC9494362 DOI: 10.1093/infdis/jiac372] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/30/2022] [Accepted: 09/09/2022] [Indexed: 01/14/2023] Open
Abstract
Interferon (IFN)-specific autoantibodies have been implicated in severe coronavirus disease 2019 (COVID-19) and have been proposed as a potential driver of the persistent symptoms characterizing "long COVID," a type of postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We report that only 2 of 215 participants with convalescent SARS-CoV-2 infection tested over 394 time points, including 121 people experiencing long COVID symptoms, had detectable IFN-α2 antibodies. Both had been hospitalized during the acute phase of the infection. These data suggest that persistent anti-IFN antibodies, although a potential driver of severe COVID-19, are unlikely to contribute to long COVID symptoms in the postacute phase of the infection.
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Affiliation(s)
- Michael J Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | | | - Saki Takahashi
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew S Durstenfeld
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - Priscilla Y Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Michael R Wilson
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bryan Greenhouse
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
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29
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Davidson MC, Lu S, Barrie MB, Freeman A, Mbayoh M, Kamara M, Tsai AC, Crea T, Rutherford GW, Weiser SD, Kelly JD. A post-outbreak assessment of exposure proximity and Ebola virus disease-related stigma among community members in Kono District, Sierra Leone: A cross-sectional study. SSM Ment Health 2022; 2:100064. [PMID: 35449727 PMCID: PMC9017820 DOI: 10.1016/j.ssmmh.2022.100064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Based on findings from other contexts, informed by intergroup contact theory, that more contact is associated with less stigma, we hypothesized that community members with greater exposure to cases of Ebola virus disease (EVD) were less likely to report EVD-related stigma towards EVD survivors. We assessed personal stigmatizing attitudes towards Ebola survivors, which reflects personal fear and judgement, as well as perceived stigma towards EVD survivors, which reflects an individual's perception of the attitudes of the community towards a stigmatized group. Methods From September 2016 to July 2017, we conducted a cross-sectional, community-based study of EVD-related stigma among individuals who did not contract Ebola in four EVD-affected rural communities of Kono District, Sierra Leone. We identified individuals from all quarantined households and obtained a random sample of those who were unexposed. Exposed individuals either lived in a quarantined household or were reported to have been in contact with an EVD case. Our explanatory variable was proximity to an EVD case during the outbreak. Our primary outcome was stigma towards EVD survivors, measured by a 6-item adapted HIV-related stigma index validated in Zambia and South Africa, with 1 item reflecting personal stigmatizing attitudes and 5 items reflecting perceived community stigma. The 6-item EVD stigma index had good internal consistency (Cronbach's alpha=0.82). We used modified Poisson and negative binomial regression models, adjusting for potential confounders, to estimate the association between exposure proximity and EVD stigma. Results We interviewed 538 participants aged 12 to 85 years. Most (57%) had been quarantined. Over one-third (39%) reported personal stigmatizing attitudes or perceived community stigma; the most frequently endorsed item was fear and judgment towards EVD survivors. Having contact with someone with EVD was significantly associated with a lower likelihood of perceived community stigma (prevalence ratio [PR], 0.26; 95% CI, 0.13-0.54) and personal stigmatizing attitudes (PR, 0.44; 95% CI, 0.29-0.65). In contrast, being quarantined was significantly associated with a higher likelihood of perceived community stigma (PR, 3.9; 95% CI, 1.5-10.1). Conclusions In this cross-sectional study, we found evidence of an inverse relationship between EVD-related stigma and contact with an EVD case. This finding substantiates intergroup contact theory and may form the basis for anti-stigma interventions.
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Affiliation(s)
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - M. Bailor Barrie
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
- Partners In Health, Freetown, Sierra Leone
| | | | | | | | - Alexander C. Tsai
- Center for Global Health and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Thomas Crea
- School of Social Work, Boston College, Boston, MA, USA
| | - George W. Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Sheri D. Weiser
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, CA, USA
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30
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Brazer N, Morris MK, Servellita V, Anglin K, Saldhi P, Garcia-Knight M, Bethancourt S, Sotomayor-Gonzalez A, Wang B, Foresythe A, Nguyen J, Gliwa AS, Pineda-Ramirez J, Sanchez RD, Zhang Y, Ott M, Wadford DA, Andino R, Kelly JD, Hanson C, Chiu C. Neutralizing Immunity Induced Against the Omicron BA.1 and BA.2 Variants in Vaccine Breakthrough Infections. J Infect Dis 2022; 226:1688-1698. [PMID: 36134603 PMCID: PMC9619439 DOI: 10.1093/infdis/jiac384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/10/2022] [Accepted: 09/20/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND As of early 2022, the Omicron variants are the predominant circulating lineages globally. Understanding neutralizing antibody responses against Omicron BA.1 and BA.2 after vaccine breakthrough infections will provide insights into BA.2 infectivity and susceptibility to subsequent reinfection. METHODS Live virus neutralization assays were used to study immunity against Delta and Omicron BA.1 and BA.2 variants in samples from 86 individuals, 24 unvaccinated (27.9%) and 62 vaccinated (72.1%), who were infected with Delta (n = 42, 48.8%) or BA.1 (n = 44, 51.2%). Among the 62 vaccinated individuals, 39 were unboosted (62.9%), whereas 23 were boosted (37.1%). RESULTS In unvaccinated infections, neutralizing antibodies (nAbs) against the three variants were weak or undetectable, except against Delta for Delta-infected individuals. Both Delta and BA.1 breakthrough infections resulted in strong nAb responses against ancestral wild-type and Delta lineages, but moderate nAb responses against BA.1 and BA.2, with similar titers between unboosted and boosted individuals. Antibody titers against BA.2 were generally higher than those against BA.1 in breakthrough infections. CONCLUSIONS These results underscore the decreased immunogenicity of BA.1 compared to BA.2, insufficient neutralizing immunity against BA.2 in unvaccinated individuals, and moderate to strong neutralizing immunity induced against BA.2 in Delta and BA.1 breakthrough infections.
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Affiliation(s)
- Noah Brazer
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Mary Kate Morris
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Prachi Saldhi
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Sutana Bethancourt
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | | | - Baolin Wang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Abiodun Foresythe
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jenny Nguyen
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Amelia S Gliwa
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Ruth Diaz Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Yueyuan Zhang
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, CA, USA
- Gladstone Institutes, San Francisco, CA, USA
- Innovative Genomics Institute, University of California Berkeley, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Debra A Wadford
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Carl Hanson
- Viral and Rickettsial Disease Laboratory, California Department of Public Health, Richmond, CA, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California Berkeley, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
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31
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Akpandak I, Miller DC, Sun Y, Arnold BF, Kelly JD, Acharya NR. Assessment of Herpes Zoster Risk Among Recipients of COVID-19 Vaccine. JAMA Netw Open 2022; 5:e2242240. [PMID: 36383382 PMCID: PMC9669817 DOI: 10.1001/jamanetworkopen.2022.42240] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
Importance Herpes zoster infection after COVID-19 vaccination has been reported in numerous case studies. It is not known whether these cases represent increased reporting or a true increase in risk. Objective To assess whether COVID-19 vaccination is associated with an increased risk of herpes zoster infection. Design, Setting, and Participants This cohort study used a self-controlled risk interval (SCRI) design to compare the risk of herpes zoster in a risk interval of 30 days after COVID-19 vaccination or up to the date of the second vaccine dose with a control interval remote from COVID-19 vaccination (defined as 60-90 days after the last recorded vaccination date for each individual, allowing for a 30-day washout period between control and risk intervals). A supplemental cohort analysis was used to compare the risk of herpes zoster after COVID-19 vaccination with the risk of herpes zoster after influenza vaccination among 2 historical cohorts who received an influenza vaccine in the prepandemic period (January 1, 2018, to December 31, 2019) or the early pandemic period (March 1, 2020, to November 30, 2020). Data were obtained from Optum Labs Data Warehouse, a US national deidentified claims-based database. A total of 2 039 854 individuals who received any dose of a COVID-19 vaccine with emergency use authorization (BNT162b2 [Pfizer-BioNTech], mRNA-1273 [Moderna], or Ad26.COV2.S [Johnson & Johnson]) from December 11, 2020, through June 30, 2021, were eligible for inclusion. Individuals included in the SCRI analysis were a subset of the COVID-19-vaccinated cohort who had herpes zoster during either a risk or control interval. Exposures Any dose of a COVID-19 vaccine. Main Outcomes and Measures Incident herpes zoster, defined by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes and a prescription of a new antiviral medication or a dose increase in antiviral medication within 5 days of diagnosis. Results Among 2 039 854 individuals who received any dose of a COVID-19 vaccine during the study period, the mean (SD) age was 43.2 (16.3) years; 1 031 149 individuals (50.6%) were female, and 1 344 318 (65.9%) were White. Of those, 1451 patients (mean [SD] age, 51.6 [12.6] years; 845 [58.2%] female) with a herpes zoster diagnosis were included in the primary SCRI analysis. In the SCRI analysis, COVID-19 vaccination was not associated with an increased risk of herpes zoster after adjustment (incidence rate ratio, 0.91; 95% CI, 0.82-1.01; P = .08). In the supplementary cohort analysis, COVID-19 vaccination was not associated with a higher risk of herpes zoster compared with influenza vaccination in the prepandemic period (first dose of COVID-19 vaccine: hazard ratio [HR], 0.78 [95% CI, 0.70-0.86; P < .001]; second dose of COVID-19 vaccine: HR, 0.79 [95% CI, 0.71-0.88; P < .001]) or the early pandemic period (first dose of COVID-19 vaccine: HR, 0.89 [95% CI, 0.80-1.00; P = .05]; second dose: HR, 0.91 [95% CI, 0.81-1.02; P = .09]). Conclusions and Relevance In this study, there was no association found between COVID-19 vaccination and an increased risk of herpes zoster infection, which may help to address concerns about the safety profile of the COVID-19 vaccines among patients and clinicians.
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Affiliation(s)
- Idara Akpandak
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - D. Claire Miller
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - Yuwei Sun
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - Benjamin F. Arnold
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Ophthalmology, University of California, San Francisco, San Francisco
| | - J. Daniel Kelly
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco
| | - Nisha R. Acharya
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Ophthalmology, University of California, San Francisco, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
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Mathur S, Davidson MC, Anglin K, Lu S, Goldberg SA, Garcia-Knight M, Tassetto M, Zhang A, Romero M, Pineda-Ramirez J, Diaz-Sanchez R, Rugart P, Chen JY, Donohue K, Shak JR, Chenna A, Winslow JW, Petropoulos CJ, Yee BC, Lambert J, Glidden DV, Rutherford GW, Deeks SG, Peluso MJ, Andino R, Martin JN, Kelly JD. Evaluation of Severe Acute Respiratory Syndrome Coronavirus 2 Nucleocapsid Antigen in the Blood as a Diagnostic Test for Infection and Infectious Viral Shedding. Open Forum Infect Dis 2022; 9:ofac563. [PMID: 36381627 PMCID: PMC9620332 DOI: 10.1093/ofid/ofac563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/21/2022] [Indexed: 11/07/2022] Open
Abstract
Background SARS-CoV-2 nucleocapsid antigen can be detected in plasma, but little is known about its performance as a diagnostic test for acute SARS-CoV-2 infection or infectious viral shedding among nonhospitalized individuals. Methods We used data generated from anterior nasal and blood samples collected in a longitudinal household cohort of SARS-CoV-2 cases and contacts. Participants were classified as true positives if polymerase chain reaction (PCR) positive for SARS-CoV-2 and as true negatives if PCR negative and seronegative. Infectious viral shedding was determined by the cytopathic effect from viral culture. Stratified by 7 days after symptom onset, we constructed receiver operating characteristic (ROC) curves to describe optimized accuracy (Youden index), optimized sensitivity, and specificity. Results Of 80 participants, 58 (73%) were true positives while 22 (27%) were true negatives. Using the manufacturer's cutoff of 1.25 pg/mL for evaluating infection, sensitivity was higher from 0 to 7 days (77.6% [95% confidence interval {CI}, 64%-88.2%]) than from 8 to 14 days (43.2% [95% CI, 31.1%-54.5%]) after symptom onset; specificity was unchanged at 100% (95% CI, 88.1%-100%). This test had higher sensitivity (100% [95% CI, 88.4%-100%]) and lower specificity (65% [95% CI, 40.8%-84.6%]) for infectious viral shedding as compared with infection, particularly within the first week of symptom onset. Although the presence of N-antigen correlated with infectious viral shedding (r = 0.63; P < .01), sensitivity still declined over time. Additional cutoffs from ROC curves were identified to optimize sensitivity and specificity. Conclusions We found that this SARS-CoV-2 N-antigen test was highly sensitive for detecting early but not late infectious viral shedding, making it a viable screening test for community-dwelling individuals to inform isolation practices.
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Affiliation(s)
- Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Michelle C Davidson
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
- School of Medicine, University of California, San Francisco, California, USA
| | - Khamal Anglin
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Michel Tassetto
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Amethyst Zhang
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Mariela Romero
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Jesus Pineda-Ramirez
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Ruth Diaz-Sanchez
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Paulina Rugart
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Jessica Y Chen
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Kevin Donohue
- School of Medicine, University of California, San Francisco, California, USA
| | - Joshua R Shak
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Ahmed Chenna
- Labcorp-Monogram Biosciences, South San Francisco, California, USA
| | - John W Winslow
- Labcorp-Monogram Biosciences, South San Francisco, California, USA
| | | | - Brandon C Yee
- Labcorp-Monogram Biosciences, South San Francisco, California, USA
| | | | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Steven G Deeks
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Michael J Peluso
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, California, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Francis I. Proctor Foundation, University of California, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
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Hazel A, Davidson MC, Rogers A, Barrie MB, Freeman A, Mbayoh M, Kamara M, Blumberg S, Lietman TM, Rutherford GW, Jones JH, Porco TC, Richardson ET, Kelly JD. Social Network Analysis of Ebola Virus Disease During the 2014 Outbreak in Sukudu, Sierra Leone. Open Forum Infect Dis 2022; 9:ofac593. [PMID: 36467298 PMCID: PMC9709704 DOI: 10.1093/ofid/ofac593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 11/01/2022] [Indexed: 08/02/2023] Open
Abstract
Background Transmission by unreported cases has been proposed as a reason for the 2013-2016 Ebola virus (EBOV) epidemic decline in West Africa, but studies that test this hypothesis are lacking. We examined a transmission chain within social networks in Sukudu village to assess spread and transmission burnout. Methods Network data were collected in 2 phases: (1) serological and contact information from Ebola cases (n = 48, including unreported); and (2) interviews (n = 148), including Ebola survivors (n = 13), to identify key social interactions. Social links to the transmission chain were used to calculate cumulative incidence proportion as the number of EBOV-infected people in the network divided by total network size. Results The sample included 148 participants and 1522 contacts, comprising 10 social networks: 3 had strong links (>50% of cases) to the transmission chain: household sharing (largely kinship), leisure time, and talking about important things (both largely non-kin). Overall cumulative incidence for these networks was 37 of 311 (12%). Unreported cases did not have higher network centrality than reported cases. Conclusions Although this study did not find evidence that explained epidemic decline in Sukudu, it excluded potential reasons (eg, unreported cases, herd immunity) and identified 3 social interactions in EBOV transmission.
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Affiliation(s)
- Ashley Hazel
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
| | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Abu Rogers
- School of Medicine, Stanford University, Stanford, California, USA
| | - M Bailor Barrie
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Partners in Health, Freetown, Sierra Leone
| | | | | | | | - Seth Blumberg
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
| | - Thomas M Lietman
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
| | - George W Rutherford
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - James Holland Jones
- Division of Social Sciences, Doerr School of Sustainability and the Environment, Stanford University, Stanford, California, USA
| | - Travis C Porco
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Eugene T Richardson
- Partners in Health, Freetown, Sierra Leone
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - J Daniel Kelly
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
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Djomaleu ML, Rogers AB, Barrie MB, Rutherford GW, Weiser SD, Kelly JD. Long-term consequences of food insecurity among Ebola virus disease-affected households after the 2013-2016 epidemic in rural communities of Kono District, Sierra Leone: A qualitative study. PLOS Glob Public Health 2022; 2:e0000770. [PMID: 36382340 PMCID: PMC9648537 DOI: 10.1371/journal.pgph.0000770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 09/14/2022] [Indexed: 12/03/2022]
Abstract
The 2013-2016 Ebola virus disease (EVD) epidemic caused food insecurity during and immediately following local outbreaks in Sierra Leone, but longer-term effects are less well described, particularly among households with no EVD survivors. We conducted a qualitative sub-study in July 2018 in Kono District, Sierra Leone to understand the impact of food insecurity on EVD-affected households. Using data from a community-based cohort, we compiled a list of all households, within the sampled communities in Kono District, that had at least one EVD case during the epidemic. We used purposive sampling to recruit 30 households, inclusive of 10 households with no EVD survivors, to participate in the study. The research team conducted open-ended, semi-structured interviews with the head of each household. All 30 interviews were transcribed, translated, and analyzed using comparative content analysis consistent with a grounded theory approach. Most household members were facing persistent food insecurity as direct or indirect consequences of the EVD epidemic, regardless of whether they did or did not live with EVD survivors. Three major themes emerged as drivers and/or mitigators of EVD-related food insecurity. Financial instability and physical health complications were drivers of food insecurity in the population, whereas support provided by NGOs or governmental agencies was observed as a mitigator and driver of food insecurity after its removal. Among the EVD-households reporting long-term support through jobs and educational opportunities, there was sustained mitigation of food insecurity. EVD-affected households with and without survivors continue to face food insecurity three years after the EVD epidemic. Provision of support was a mitigator of food insecurity in the short term, but its removal was a driver of food insecurity in the longer term, suggesting the need for longer-term transitional support in affected households.
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Affiliation(s)
- Manuella L. Djomaleu
- School of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Abu B. Rogers
- School of Medicine, Stanford University, Stanford, California, United States of America
| | - M. Bailor Barrie
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America
- Partners In Health, Freetown, Sierra Leone
| | - George W. Rutherford
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
| | - Sheri D. Weiser
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - J. Daniel Kelly
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America
- Partners In Health, Freetown, Sierra Leone
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco, California, United States of America
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Augusto DG, Yusufali T, Sabatino JJ, Peyser ND, Murdolo LD, Butcher X, Murray V, Pae V, Sarvadhavabhatla S, Beltran F, Gill G, Lynch K, Yun C, Maguire C, Peluso MJ, Hoh R, Henrich TJ, Deeks SG, Davidson M, Lu S, Goldberg SA, Kelly JD, Martin JN, Viera-Green CA, Spellman SR, Langton DJ, Lee S, Marcus GM, Olgin JE, Pletcher MJ, Gras S, Maiers M, Hollenbach JA. A common allele of HLA mediates asymptomatic SARS-CoV-2 infection. medRxiv 2022:2021.05.13.21257065. [PMID: 34031661 PMCID: PMC8142661 DOI: 10.1101/2021.05.13.21257065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Despite some inconsistent reporting of symptoms, studies have demonstrated that at least 20% of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) will remain asymptomatic. Although most global efforts have focused on understanding factors underlying severe illness in COVID-19 (coronavirus disease of 2019), the examination of asymptomatic infection provides a unique opportunity to consider early disease and immunologic features promoting rapid viral clearance. Owing to its critical role in the immune response, we postulated that variation in the human leukocyte antigen (HLA) loci may underly processes mediating asymptomatic infection. We enrolled 29,947 individuals registered in the National Marrow Donor Program for whom high-resolution HLA genotyping data were available in the UCSF Citizen Science smartphone-based study designed to track COVID-19 symptoms and outcomes. Our discovery cohort (n=1428) was comprised of unvaccinated, self-identified subjects who reported a positive test result for SARS-CoV-2. We tested for association of five HLA loci (HLA-A, -B, -C, -DRB1, -DQB1) with disease course and identified a strong association of HLA-B*15:01 with asymptomatic infection, and reproduced this association in two independent cohorts. Suggesting that this genetic association is due to pre-existing T-cell immunity, we show that T cells from pre-pandemic individuals carrying HLA-B*15:01 were reactive to the immunodominant SARS-CoV-2 S-derived peptide NQKLIANQF, and 100% of the reactive cells displayed memory phenotype. Finally, we characterize the protein structure of HLA-B*15:01-peptide complexes, demonstrating that the NQKLIANQF peptide from SARS-CoV-2, and the highly homologous NQKLIANAF from seasonal coronaviruses OC43-CoV and HKU1-CoV, share similar ability to be stabilized and presented by HLA-B*15:01, providing the molecular basis for T-cell cross-reactivity and HLA-B*15:01-mediated pre-existing immunity.
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Affiliation(s)
- Danillo G. Augusto
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Tasneem Yusufali
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph J. Sabatino
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Noah D. Peyser
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Lawton D. Murdolo
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3086, Australia
| | - Xochitl Butcher
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Victoria Murray
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Vivian Pae
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sannidhi Sarvadhavabhatla
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Fiona Beltran
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gurjot Gill
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kara Lynch
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Yun
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Colin Maguire
- University of Utah, Clinical and Translational Science Institute, Salt Lake City, UT
| | - Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michelle Davidson
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Cynthia A. Viera-Green
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Stephen R. Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - David J. Langton
- ExplantLab, The Biosphere, Newcastle Helix, Newcastle-upon-Tyne, UK
| | - Sulggi Lee
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gregory M. Marcus
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey E. Olgin
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Mark J. Pletcher
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3086, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | | | - Jill A. Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
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Kelly JD, Leonard S, Hoggatt KJ, Boscardin WJ, Lum EN, Moss-Vazquez TA, Andino R, Wong JK, Byers A, Bravata DM, Tien PC, Keyhani S. Incidence of Severe COVID-19 Illness Following Vaccination and Booster With BNT162b2, mRNA-1273, and Ad26.COV2.S Vaccines. JAMA 2022; 328:1427-1437. [PMID: 36156706 PMCID: PMC9513709 DOI: 10.1001/jama.2022.17985] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 09/14/2022] [Indexed: 11/14/2022]
Abstract
Importance Evidence describing the incidence of severe COVID-19 illness following vaccination and booster with BNT162b2, mRNA-1273, and Ad26.COV2.S vaccines is needed, particularly for high-risk populations. Objective To describe the incidence of severe COVID-19 illness among a cohort that received vaccination plus a booster vaccine dose. Design, Setting, and Participants Retrospective cohort study of adults receiving care at Veterans Health Administration facilities across the US who received a vaccination series plus 1 booster against SARS-CoV-2, conducted from July 1, 2021, to May 30, 2022. Patients were eligible if they had received a primary care visit in the prior 2 years and had documented receipt of all US Food and Drug Administration-authorized doses of the initial mRNA vaccine or viral vector vaccination series after December 11, 2020, and a subsequent documented booster dose between July 1, 2021, and April 29, 2022. The analytic cohort consisted of 1 610 719 participants. Exposures Receipt of any combination of mRNA-1273 (Moderna), BNT162b2 (Pfizer-BioNTech), and Ad26.COV2.S (Janssen/Johnson & Johnson) primary vaccination series and a booster dose. Main Outcomes and Measures Outcomes were breakthrough COVID-19 (symptomatic infection), hospitalization with COVID-19 pneumonia and/or death, and hospitalization with severe COVID-19 pneumonia and/or death. A subgroup analysis of nonoverlapping populations included those aged 65 years or older, those with high-risk comorbid conditions, and those with immunocompromising conditions. Results Of 1 610 719 participants, 1 100 280 (68.4%) were aged 65 years or older and 132 243 (8.2%) were female; 1 133 785 (70.4%) had high-risk comorbid conditions, 155 995 (9.6%) had immunocompromising conditions, and 1 467 879 (91.1%) received the same type of mRNA vaccine (initial series and booster). Over 24 weeks, 125.0 (95% CI, 123.3-126.8) per 10 000 persons had breakthrough COVID-19, 8.9 (95% CI, 8.5-9.4) per 10 000 persons were hospitalized with COVID-19 pneumonia or died, and 3.4 (95% CI, 3.1-3.7) per 10 000 persons were hospitalized with severe pneumonia or died. For high-risk populations, incidence of hospitalization with COVID-19 pneumonia or death was as follows: aged 65 years or older, 1.9 (95% CI, 1.4-2.6) per 10 000 persons; high-risk comorbid conditions, 6.7 (95% CI, 6.2-7.2) per 10 000 persons; and immunocompromising conditions, 39.6 (95% CI, 36.6-42.9) per 10 000 persons. Subgroup analyses of patients hospitalized with COVID-19 pneumonia or death by time after booster demonstrated similar incidence estimates among those aged 65 years or older and with high-risk comorbid conditions but not among those with immunocompromising conditions. Conclusions and Relevance In a US cohort of patients receiving care at Veterans Health Administration facilities during a period of Delta and Omicron variant predominance, there was a low incidence of hospitalization with COVID-19 pneumonia or death following vaccination and booster with any of BNT162b2, mRNA-1273, or Ad26.COV2.S vaccines.
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Affiliation(s)
- J. Daniel Kelly
- San Francisco VA Medical Center, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- Institute for Global Health Sciences, University of California, San Francisco
- F. I. Proctor Foundation, University of California, San Francisco
| | - Samuel Leonard
- San Francisco VA Medical Center, San Francisco, California
| | - Katherine J. Hoggatt
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco
| | - W. John Boscardin
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Emily N. Lum
- San Francisco VA Medical Center, San Francisco, California
| | | | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco
| | - Joseph K. Wong
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco
| | - Amy Byers
- San Francisco VA Medical Center, San Francisco, California
| | - Dawn M. Bravata
- Department of Veterans Affairs Health Services and Development Center for Health Information and Communication and Department of Medicine, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana
- Department of Medicine, Indiana University School of Medicine, Indianapolis
- Regenstrief Institute, Indianapolis, Indiana
| | - Phyllis C. Tien
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco
| | - Salomeh Keyhani
- San Francisco VA Medical Center, San Francisco, California
- Department of Medicine, University of California, San Francisco
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Daniel Kelly J, Lu S, Anglin K, Garcia-Knight M, Pineda-Ramirez J, Goldberg SA, Tassetto M, Zhang A, Donohue K, Davidson MC, Romero M, Sanchez RD, Djomaleu M, Mathur S, Chen JY, Forman CA, Servellita V, Montejano RD, Shak JR, Rutherford GW, Deeks SG, Abedi GR, Rolfes MA, Saydah S, Briggs-Hagen M, Peluso MJ, Chiu C, Midgley CM, Andino R, Martin JN. Magnitude and Determinants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Household Transmission: A Longitudinal Cohort Study. Clin Infect Dis 2022; 75:S193-S204. [PMID: 35788827 PMCID: PMC9278251 DOI: 10.1093/cid/ciac545] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Households have emerged as important venues for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. Little is known, however, regarding the magnitude and determinants of household transmission in increasingly vaccinated populations. METHODS From September 2020 to January 2022, symptomatic nonhospitalized individuals with SARS-CoV-2 infection by RNA detection were identified within 5 days of symptom onset; all individuals resided with at least 1 other SARS-CoV-2-uninfected household member. These infected persons (cases) and their household members (contacts) were subsequently followed with questionnaire-based measurement and serial nasal specimen collection. The primary outcome was SARS-CoV-2 infection among contacts. RESULTS We evaluated 42 cases and their 74 household contacts. Among the contacts, 32 (43%) became infected, of whom 5 (16%) were asymptomatic; 81% of transmissions occurred by 5 days after the case's symptom onset. From 21 unvaccinated cases, 14-day cumulative incidence of SARS-CoV-2 infection among contacts was 18/40 (45% [95% confidence interval {CI}, 29%-62%]), most of whom were unvaccinated. From 21 vaccinated cases, 14-day cumulative incidence of SARS-CoV-2 infection was 14/34 (41% [95% CI, 25%-59%]) among all contacts and 12/29 (41% [95% CI, 24%-61%]) among vaccinated contacts. At least 1 comorbid condition among cases and 10 or more days of RNA detection in cases were associated with increased risk of infection among contacts. CONCLUSIONS Among households including individuals with symptomatic SARS-CoV-2 infection, both vaccinated-to-vaccinated and unvaccinated-to-unvaccinated transmission of SARS-CoV-2 to household contacts was common. Because vaccination alone did not notably reduce risk of infection, household contacts will need to employ additional interventions to avoid infection.
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Affiliation(s)
- J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, CA, USA
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Khamal Anglin
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | | | - Jesus Pineda-Ramirez
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | | | | | - Kevin Donohue
- School of Medicine, University of California, San Francisco, CA, USA
| | | | - Mariela Romero
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Ruth Diaz Sanchez
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Manuella Djomaleu
- School of Medicine, University of California, San Francisco, CA, USA
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jessica Y Chen
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Carrie A Forman
- School of Medicine, Drexel University, Philadelphia, PA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Rubi D Montejano
- School of Medicine, University of California, San Francisco, CA, USA
| | - Joshua R Shak
- San Francisco VA Medical Center, San Francisco, CA, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Glen R Abedi
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, GA, USA
| | - Melissa A Rolfes
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, GA, USA
| | - Sharon Saydah
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, GA, USA
| | | | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital, San Francisco, CA, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Claire M Midgley
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, GA, USA
| | - Raul Andino
- Department of Microbiology and Immunology, UCSF
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
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Peluso MJ, Spinelli MA, Deveau TM, Forman CA, Munter SE, Mathur S, Tang AF, Lu S, Goldberg SA, Arreguin MI, Hoh R, Tai V, Chen JY, Martinez EO, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Sette A, Weiskopf D, Kumar N, Lynch KL, Hunt PW, Durstenfeld MS, Hsue PY, Kelly JD, Martin JN, Glidden DV, Gandhi M, Deeks SG, Rutishauser RL, Henrich TJ. Postacute sequelae and adaptive immune responses in people with HIV recovering from SARS-COV-2 infection. AIDS 2022; 36:F7-F16. [PMID: 35866847 PMCID: PMC9444925 DOI: 10.1097/qad.0000000000003338] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Limited data are available on the long-term clinical and immunologic consequences of SARS-CoV-2 infection in people with HIV (PWH). METHODS We measured SARS-CoV-2-specific humoral and cellular responses in people with and without HIV recovering from COVID-19 ( n = 39 and n = 43, respectively) using binding antibody, surrogate virus neutralization, intracellular cytokine staining, and inflammatory marker assays. We identified individuals experiencing postacute sequelae of SARS-CoV-2 infection (PASC) and evaluated immunologic parameters. We used linear regression and generalized linear models to examine differences by HIV status in the magnitude of inflammatory and virus-specific antibody and T-cell responses, as well as differences in the prevalence of PASC. RESULTS Among PWH, we found broadly similar SARS-CoV-2-specific antibody and T-cell responses as compared with a well matched group of HIV-negative individuals. PWH had 70% lower relative levels of SARS-CoV-2-specific memory CD8 + T cells ( P = 0.007) and 53% higher relative levels of PD-1+ SARS-CoV-2-specific CD4 + T cells ( P = 0.007). Higher CD4 + /CD8 + ratio was associated with lower PD-1 expression on SARS-CoV-2-specific CD8 + T cells (0.34-fold effect, P = 0.02). HIV status was strongly associated with PASC (odds ratio 4.01, P = 0.008), and levels of certain inflammatory markers (IL-6, TNF-alpha, and IP-10) were associated with persistent symptoms. CONCLUSION We identified potentially important differences in SARS-CoV-2-specific CD4 + and CD8 + T cells in PWH and HIV-negative participants that might have implications for long-term immunity conferred by natural infection. HIV status strongly predicted the presence of PASC. Larger and more detailed studies of PASC in PWH are urgently needed.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Matthew A. Spinelli
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Carrie A. Forman
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Alex F. Tang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Mireya I. Arreguin
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Jessica Y. Chen
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Enrique O. Martinez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | | | - Ahmed Chenna
- Monogram Biosciences, South San Francisco, CA, USA
| | | | | | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Daniella Weiskopf
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA, USA
| | - Nitasha Kumar
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Kara L. Lynch
- Division of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Peter W. Hunt
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | | | - Priscilla Y. Hsue
- Division of Cardiology, University of California, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Monica Gandhi
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | | | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
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Giron LB, Peluso MJ, Ding J, Kenny G, Zilberstein NF, Koshy J, Hong KY, Rasmussen H, Miller GE, Bishehsari F, Balk RA, Moy JN, Hoh R, Lu S, Goldman AR, Tang HY, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Kelly JD, Wasse H, Martin JN, Liu Q, Keshavarzian A, Landay A, Deeks SG, Henrich TJ, Abdel-Mohsen M. Markers of fungal translocation are elevated during post-acute sequelae of SARS-CoV-2 and induce NF-κB signaling. JCI Insight 2022; 7:164813. [PMID: 36134654 PMCID: PMC9675436 DOI: 10.1172/jci.insight.164813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Tassetto M, Garcia-Knight M, Anglin K, Lu S, Zhang A, Romero M, Pineda-Ramirez J, Sanchez RD, Donohue KC, Pfister K, Chan C, Saydah S, Briggs-Hagen M, Peluso MJ, Martin JN, Andino R, Midgley CM, Kelly JD. Detection of Higher Cycle Threshold Values in Culturable SARS-CoV-2 Omicron BA.1 Sublineage Compared with Pre-Omicron Variant Specimens - San Francisco Bay Area, California, July 2021-March 2022. MMWR Morb Mortal Wkly Rep 2022; 71:1151-1154. [PMID: 36074732 PMCID: PMC9470222 DOI: 10.15585/mmwr.mm7136a3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Before emergence in late 2021 of the highly transmissible B.1.1.529 (Omicron) variant of SARS-CoV-2, the virus that causes COVID-19 (1,2), several studies demonstrated that SARS-CoV-2 was unlikely to be cultured from specimens with high cycle threshold (Ct) values§ from real-time reverse transcription-polymerase chain reaction (RT-PCR) tests (suggesting low viral RNA levels) (3). Although CDC and others do not recommend attempting to correlate Ct values with the amount of infectious virus in the original specimen (4,5), low Ct values are sometimes used as surrogate markers for infectiousness in clinical, public health, or research settings without access to virus culture (5). However, the consistency in reliability of this practice across SARS-CoV-2 variants remains uncertain because Omicron-specific data on infectious virus shedding, including its relationship with RNA levels, are limited. In the current analysis, nasal specimens collected from an ongoing longitudinal cohort¶ (6,7) of nonhospitalized participants with positive SARS-CoV-2 test results living in the San Francisco Bay Area** were used to generate Ct values and assess for the presence of culturable SARS-CoV-2 virus; findings were compared between specimens from participants infected with pre-Omicron variants and those infected with the Omicron BA.1 sublineage. Among specimens with culturable virus detected, Ct values were higher (suggesting lower RNA levels) during Omicron BA.1 infections than during pre-Omicron infections, suggesting variant-specific differences in viral dynamics. Supporting CDC guidance, these data show that Ct values likely do not provide a consistent proxy for infectiousness across SARS-CoV-2 variants.
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Garcia-Knight M, Anglin K, Tassetto M, Lu S, Zhang A, Goldberg SA, Catching A, Davidson MC, Shak JR, Romero M, Pineda-Ramirez J, Diaz-Sanchez R, Rugart P, Donohue K, Massachi J, Sans HM, Djomaleu M, Mathur S, Servellita V, McIlwain D, Gaudiliere B, Chen J, Martinez EO, Tavs JM, Bronstone G, Weiss J, Watson JT, Briggs-Hagen M, Abedi GR, Rutherford GW, Deeks SG, Chiu C, Saydah S, Peluso MJ, Midgley CM, Martin JN, Andino R, Kelly JD. Infectious viral shedding of SARS-CoV-2 Delta following vaccination: A longitudinal cohort study. PLoS Pathog 2022; 18:e1010802. [PMID: 36095030 PMCID: PMC9499220 DOI: 10.1371/journal.ppat.1010802] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 09/22/2022] [Accepted: 08/05/2022] [Indexed: 11/18/2022] Open
Abstract
The impact of vaccination on SARS-CoV-2 infectiousness is not well understood. We compared longitudinal viral shedding dynamics in unvaccinated and fully vaccinated adults. SARS-CoV-2-infected adults were enrolled within 5 days of symptom onset and nasal specimens were self-collected daily for two weeks and intermittently for an additional two weeks. SARS-CoV-2 RNA load and infectious virus were analyzed relative to symptom onset stratified by vaccination status. We tested 1080 nasal specimens from 52 unvaccinated adults enrolled in the pre-Delta period and 32 fully vaccinated adults with predominantly Delta infections. While we observed no differences by vaccination status in maximum RNA levels, maximum infectious titers and the median duration of viral RNA shedding, the rate of decay from the maximum RNA load was faster among vaccinated; maximum infectious titers and maximum RNA levels were highly correlated. Furthermore, amongst participants with infectious virus, median duration of infectious virus detection was reduced from 7.5 days (IQR: 6.0-9.0) in unvaccinated participants to 6 days (IQR: 5.0-8.0) in those vaccinated (P = 0.02). Accordingly, the odds of shedding infectious virus from days 6 to 12 post-onset were lower among vaccinated participants than unvaccinated participants (OR 0.42 95% CI 0.19-0.89). These results indicate that vaccination had reduced the probability of shedding infectious virus after 5 days from symptom onset.
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Affiliation(s)
- Miguel Garcia-Knight
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Michel Tassetto
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Amethyst Zhang
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Adam Catching
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Joshua R Shak
- School of Medicine, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, San Francisco, California, United States of America
| | - Mariela Romero
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Ruth Diaz-Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Paulina Rugart
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Kevin Donohue
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Jonathan Massachi
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Hannah M Sans
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Manuella Djomaleu
- School of Medicine, University of California, San Francisco, California, United States of America
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Venice Servellita
- Division of Infectious Diseases, UCSF, California, United States of America
| | - David McIlwain
- Department of Microbiology and Immunology, Stanford, California, United States of America
| | - Brice Gaudiliere
- Department of Microbiology and Immunology, Stanford, California, United States of America
| | - Jessica Chen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Enrique O Martinez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jacqueline M Tavs
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Grace Bronstone
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Jacob Weiss
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - John T Watson
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Melissa Briggs-Hagen
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Glen R Abedi
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
| | - Steven G Deeks
- Division of HIV, Infectious Disease, and Global Medicine, UCSF, California, United States of America
| | - Charles Chiu
- Division of Infectious Diseases, UCSF, California, United States of America
| | - Sharon Saydah
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Michael J Peluso
- Division of HIV, Infectious Disease, and Global Medicine, UCSF, California, United States of America
| | - Claire M Midgley
- Respiratory Viruses Branch, Division of Viral Diseases, CDC, Atlanta, Georgia, United States of America
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
| | - Raul Andino
- Department of Microbiology and Immunology, UCSF, California, United States of America
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, United States of America
- Institute for Global Health Sciences, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, San Francisco, California, United States of America
- F.I. Proctor Foundation, University of California, San Francisco, California, United States of America
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Kelly JD, Van Ryn C, Badio M, Fayiah T, Johnson K, Gayedyu-Dennis D, Weiser SD, Porco TC, Martin JN, Sneller MC, Rutherford GW, Reilly C, Fallah MP, Moses JS. Clinical sequelae among individuals with pauci-symptomatic or asymptomatic Ebola virus infection and unrecognised Ebola virus disease in Liberia: a longitudinal cohort study. Lancet Infect Dis 2022; 22:1163-1171. [PMID: 35588755 PMCID: PMC9329265 DOI: 10.1016/s1473-3099(22)00127-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 12/30/2021] [Accepted: 01/31/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Whether or not individuals with pauci-symptomatic or asymptomatic Ebola virus infection and unrecognised Ebola virus disease develop clinical sequelae is unknown. We assessed current symptoms and physical examination findings among individuals with pauci-symptomatic or asymptomatic infection and unrecognised Ebola virus disease compared with Ebola virus disease survivors and uninfected contacts. METHODS Between June 17, 2015, and June 30, 2017, we studied a cohort of Ebola virus disease survivors and their contacts in Liberia. Surveys, current symptoms and physical examination findings, and serology were used to characterise disease status of reported Ebola virus disease, unrecognised Ebola virus disease, pauci-symptomatic or asymptomatic Ebola virus infection, or no infection. We pre-specified findings known to be differentially prevalent among Ebola virus disease survivors versus their contacts (urinary frequency, headache, fatigue, muscle pain, memory loss, joint pain, neurological findings, chest findings, muscle findings, joint findings, abdominal findings, and uveitis). We estimated the prevalence and incidence of selected clinical findings by disease status. FINDINGS Our analytical cohort included 991 reported Ebola virus disease survivors and 2688 close contacts. The median time from acute Ebola virus disease onset to baseline was 317 days (IQR 271-366). Of 222 seropositive contacts, 115 had pauci-symptomatic or asymptomatic Ebola virus infection and 107 had unrecognised Ebola virus disease. At baseline, prevalent findings of joint pain, memory loss, muscle pain, and fatigue were lowest among those with pauci-symptomatic or asymptomatic infection or no infection, higher among contacts with unrecognised Ebola virus disease, and highest in reported survivors of Ebola virus disease. Joint pain was the most prevalent finding, and was reported in 434 (18%) of 2466 individuals with no infection, 14 (12%) of 115 with pauci-symptomatic or asymptomatic infection, 31 (29%) of 107 with unrecognised Ebola virus disease, and 476 (48%) of 991 with reported Ebola virus disease. In adjusted analyses, this pattern remained for joint pain and memory loss. Survivors had an increased odds of joint pain compared with unrecognised Ebola virus disease contacts (adjusted odds ratio [OR] 2·13, 95% CI 1·34-3·39); unrecognised Ebola virus disease contacts had an increased odds of joint pain compared with those with pauci-symptomatic or asymptomatic infection and uninfected contacts (adjusted OR 1·89, 95% CI 1·21-2·97). The adjusted odds of memory loss was more than four-times higher among survivors than among unrecognised Ebola virus disease contacts (adjusted OR 4·47, 95% CI 2·41-8·30) and two-times higher among unrecognised Ebola virus disease contacts than in those with pauci-symptomatic or asymptomatic infection and uninfected contacts (adjusted OR 2·05, 95% CI 1·10-3·84). By 12 months, prevalent findings had decreased in the three infected groups. INTERPRETATION Our findings provide evidence of post-Ebola virus disease clinical sequelae among contacts with unrecognised Ebola virus disease but not in people with pauci-symptomatic or asymptomatic Ebola virus infection. FUNDING National Cancer Institute and National Institute of Allergy and Infectious Diseases of the National Institutes of Health.
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Peluso MJ, Deveau TM, Munter SE, Ryder D, Buck A, Beck-Engeser G, Chan F, Lu S, Goldberg SA, Hoh R, Tai V, Torres L, Iyer NS, Deswal M, Ngo LH, Buitrago M, Rodriguez A, Chen JY, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Deitchman AN, Hellmuth J, Spinelli MA, Durstenfeld MS, Hsue PY, Kelly JD, Martin JN, Deeks SG, Hunt PW, Henrich TJ. Impact of Pre-Existing Chronic Viral Infection and Reactivation on the Development of Long COVID. medRxiv 2022:2022.06.21.22276660. [PMID: 35898346 PMCID: PMC9327632 DOI: 10.1101/2022.06.21.22276660] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The presence and reactivation of chronic viral infections such as Epstein-Barr virus (EBV), cytomegalovirus (CMV) and human immunodeficiency virus (HIV) have been proposed as potential contributors to Long COVID (LC), but studies in well-characterized post-acute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited. In a cohort of 280 adults with prior SARS-CoV-2 infection, we observed that LC symptoms such as fatigue and neurocognitive dysfunction at a median of 4 months following initial diagnosis were independently associated with serological evidence of recent EBV reactivation (early antigen-D [EA-D] IgG positivity) or high nuclear antigen IgG levels, but not with ongoing EBV viremia. Evidence of EBV reactivation (EA-D IgG) was most strongly associated with fatigue (OR 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR 0.52) and tended to have less severe (>5 symptoms reported) LC (OR 0.44). Overall, these findings suggest differential effects of chronic viral co-infections on the likelihood of developing LC and predicted distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted. SUMMARY The authors found that Long COVID symptoms in a post-acute cohort were associated with serological evidence of recent EBV reactivation and pre-existing HIV infection when adjusted for participant factors, sample timing, comorbid conditions and prior hospitalization, whereas underlying CMV infection was associated with a decreased risk of Long COVID.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Tyler-Marie Deveau
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Sadie E. Munter
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Dylan Ryder
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Amanda Buck
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | | | - Fay Chan
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Viva Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Leonel Torres
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Nikita S. Iyer
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Monika Deswal
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Lynn H. Ngo
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Melissa Buitrago
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Antonio Rodriguez
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Jessica Y. Chen
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | | | - Ahmed Chenna
- Monogram Biosciences Inc., South San Francisco, CA, USA
| | | | | | | | - Joanna Hellmuth
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Matthew A. Spinelli
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | | | - Priscilla Y. Hsue
- Division of Cardiology, University of California, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, CA, USA
| | - Peter W. Hunt
- Division of Experimental Medicine, University of California, San Francisco, CA, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, CA, USA,To whom correspondence should be addressed: Timothy J. Henrich, MD, MMSc, Division of Experimental Medicine, University of California San Francisco, 1001 Potrero Avenue, Bld 3, Rm 525a, San Francisco CA 94110 USA,
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Feyaerts D, Hédou J, Gillard J, Chen H, Tsai ES, Peterson LS, Ando K, Manohar M, Do E, Dhondalay GKR, Fitzpatrick J, Artandi M, Chang I, Snow TT, Chinthrajah RS, Warren CM, Wittman R, Meyerowitz JG, Ganio EA, Stelzer IA, Han X, Verdonk F, Gaudillière DK, Mukherjee N, Tsai AS, Rumer KK, Jacobsen DR, Bjornson-Hooper ZB, Jiang S, Saavedra SF, Valdés Ferrer SI, Kelly JD, Furman D, Aghaeepour N, Angst MS, Boyd SD, Pinsky BA, Nolan GP, Nadeau KC, Gaudillière B, McIlwain DR. Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19. Cell Rep Med 2022; 3:100680. [PMID: 35839768 PMCID: PMC9238057 DOI: 10.1016/j.xcrm.2022.100680] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 04/25/2022] [Accepted: 06/14/2022] [Indexed: 02/06/2023]
Abstract
The biological determinants underlying the range of coronavirus 2019 (COVID-19) clinical manifestations are not fully understood. Here, over 1,400 plasma proteins and 2,600 single-cell immune features comprising cell phenotype, endogenous signaling activity, and signaling responses to inflammatory ligands are cross-sectionally assessed in peripheral blood from 97 patients with mild, moderate, and severe COVID-19 and 40 uninfected patients. Using an integrated computational approach to analyze the combined plasma and single-cell proteomic data, we identify and independently validate a multi-variate model classifying COVID-19 severity (multi-class area under the curve [AUC]training = 0.799, p = 4.2e-6; multi-class AUCvalidation = 0.773, p = 7.7e-6). Examination of informative model features reveals biological signatures of COVID-19 severity, including the dysregulation of JAK/STAT, MAPK/mTOR, and nuclear factor κB (NF-κB) immune signaling networks in addition to recapitulating known hallmarks of COVID-19. These results provide a set of early determinants of COVID-19 severity that may point to therapeutic targets for prevention and/or treatment of COVID-19 progression.
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Affiliation(s)
- Dorien Feyaerts
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Julien Hédou
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Joshua Gillard
- Section Pediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands; Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands; Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Han Chen
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Eileen S Tsai
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura S Peterson
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Kazuo Ando
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Monali Manohar
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Evan Do
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Gopal K R Dhondalay
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jessica Fitzpatrick
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Maja Artandi
- Department of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Iris Chang
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Theo T Snow
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - R Sharon Chinthrajah
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA; Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University, Stanford, CA, USA; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christopher M Warren
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA
| | - Richard Wittman
- Department of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Justin G Meyerowitz
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward A Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ina A Stelzer
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoyuan Han
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Sciences, University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, CA, USA
| | - Franck Verdonk
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Dyani K Gaudillière
- Division of Plastic & Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Nilanjan Mukherjee
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy S Tsai
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Kristen K Rumer
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Danielle R Jacobsen
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Zachary B Bjornson-Hooper
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sizun Jiang
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sergio Fragoso Saavedra
- Departamento de Neurología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico; Plan de Estudios Combinados en Medicina (MD/PhD Program), Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Sergio Iván Valdés Ferrer
- Departamento de Neurología, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, USA; Institute for Global Health Sciences, UCSF, San Francisco, CA, USA; F.I. Proctor Foundation, UCSF, San Francisco, CA, USA
| | - David Furman
- Buck Artificial Intelligence Platform, Buck Institute for Research on Aging, Novato, CA, USA; Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA; Austral Institute for Applied Artificial Intelligence, Institute for Research in Translational Medicine (IIMT), Universidad Austral, CONICET, Pilar, Buenos Aires, Argentina
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Martin S Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Scott D Boyd
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin A Pinsky
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Garry P Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Kari C Nadeau
- Sean N Parker Center for Allergy and Asthma Research, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University, Stanford, CA, USA; Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, Stanford University, Stanford, CA, USA; Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, CA, USA
| | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Pediatrics, Stanford University, Stanford, CA, USA.
| | - David R McIlwain
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
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Peluso MJ, Anglin K, Durstenfeld MS, Martin JN, Kelly JD, Hsue PY, Henrich TJ, Deeks SG. Effect of Oral Nirmatrelvir on Long COVID Symptoms: 4 Cases and Rationale for Systematic Studies. Pathog Immun 2022; 7:95-103. [PMID: 35800257 PMCID: PMC9254867 DOI: 10.20411/pai.v7i1.518] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/19/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Efforts to understand the impact of SARS-CoV-2 variants, vaccine status, and treatment on the development and persistence of Long COVID have intensified. Methods: We report 4 sequential cases from a post-COVID cohort study demonstrating variability in outcomes following differentially timed nirmatrelvir therapy, received as part of clinical care. Results: In the first case, the participant experienced symptomatic rebound and developed Long COVID despite early initiation of antiviral therapy. In the next 2 cases, participants reported improvement in persistent COVID symptoms when nirmatrelvir was taken 25 and 60 days following initial symptom onset. In the final case, an individual with presumed Long COVID for 2 years reported substantial improvement in chronic symptoms when taking nirmatrelvir following SARS-CoV-2 re-infection. Conclusions: These anecdotes suggest that systematic study of antiviral therapy for Long COVID is warranted.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA
- CORRESPONDING AUTHOR: Michael Peluso, M.D., Division of HIV, Infections Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, 94110; Phone: 415-476-4082 ext. 119; E-mail:
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | | | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Priscilla Y. Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, CA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA
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Giron LB, Peluso MJ, Ding J, Kenny G, Zilberstein NF, Koshy J, Hong KY, Rasmussen H, Miller GE, Bishehsari F, Balk RA, Moy JN, Hoh R, Lu S, Goldman AR, Tang HY, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Kelly JD, Wasse H, Martin JN, Liu Q, Keshavarzian A, Landay A, Deeks SG, Henrich TJ, Abdel-Mohsen M. Markers of fungal translocation are elevated during post-acute sequelae of SARS-CoV-2 and induce NF-κB signaling. JCI Insight 2022; 7:160989. [PMID: 35727635 PMCID: PMC9462470 DOI: 10.1172/jci.insight.160989] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/17/2022] [Indexed: 11/24/2022] Open
Abstract
Long COVID, a type of post-acute sequelae of SARS-CoV-2 (PASC), has been associated with sustained elevated levels of immune activation and inflammation. However, the mechanisms that drive this inflammation remain unknown. Inflammation during acute coronavirus disease 2019 could be exacerbated by microbial translocation (from the gut and/or lung) to blood. Whether microbial translocation contributes to inflammation during PASC is unknown. We did not observe a significant elevation in plasma markers of bacterial translocation during PASC. However, we observed higher levels of fungal translocation — measured as β-glucan, a fungal cell wall polysaccharide — in the plasma of individuals experiencing PASC compared with those without PASC or SARS-CoV-2–negative controls. The higher β-glucan correlated with higher inflammation and elevated levels of host metabolites involved in activating N-methyl-d-aspartate receptors (such as metabolites within the tryptophan catabolism pathway) with established neurotoxic properties. Mechanistically, β-glucan can directly induce inflammation by binding to myeloid cells (via Dectin-1) and activating Syk/NF-κB signaling. Using a Dectin-1/NF-κB reporter model, we found that plasma from individuals experiencing PASC induced higher NF-κB signaling compared with plasma from negative controls. This higher NF-κB signaling was abrogated by piceatannol (Syk inhibitor). These data suggest a potential targetable mechanism linking fungal translocation and inflammation during PASC.
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Affiliation(s)
- Leila B Giron
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Michael J Peluso
- The University of California, San Francisco, San Francisco, United States of America
| | - Jianyi Ding
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Grace Kenny
- Department of Infectious Diseases, University College Dublin, Dublin, Ireland
| | | | - Jane Koshy
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Kai Ying Hong
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Heather Rasmussen
- Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, United States of America
| | - Gregory E Miller
- Department of Psychology, Northwestern University, Chicago, United States of America
| | - Faraz Bishehsari
- Department of Internal Medicine, Rush University, Chicago, United States of America
| | - Robert A Balk
- Department of Internal Medicine, Rush University, Chicago, United States of America
| | - James N Moy
- Department of Internal Medicine, Rush University, Chicago, United States of America
| | - Rebecca Hoh
- Department of Medicine, The University of California, San Francisco, San Francisco, United States of America
| | - Scott Lu
- Department of Medicine, The University of California, San Francisco, San Francisco, United States of America
| | - Aaron R Goldman
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Hsin-Yao Tang
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Brandon C Yee
- Monogram Biosciences, South San Francisco, United States of America
| | - Ahmed Chenna
- Oncology Group, Monogram Biosciences, South San Francisco, United States of America
| | - John W Winslow
- Oncology Group, Monogram Biosciences, South San Francisco, United States of America
| | | | - J Daniel Kelly
- Department of Medicine, The University of California, San Francisco, San Francisco, United States of America
| | - Haimanot Wasse
- Department of Internal Medicine, Rush University, Chicago, United States of America
| | - Jeffrey N Martin
- Department of Medicine, The University of California, San Francisco, San Francisco, United States of America
| | - Qin Liu
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
| | - Ali Keshavarzian
- Department of Digestive Diseases, Rush University, Chicago, United States of America
| | - Alan Landay
- Department of Internal Medicine, Rush University, Chicago, United States of America
| | - Steven G Deeks
- The University of California, San Francisco, San Francisco, United States of America
| | - Timothy J Henrich
- Department of Medicine, The University of California, San Francisco, San Francisco, United States of America
| | - Mohamed Abdel-Mohsen
- Vaccine and Immunotherapy Center, The Wistar Institute, Philadelphia, United States of America
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Durstenfeld MS, Peluso MJ, Kelly JD, Win S, Swaminathan S, Li D, Arechiga VM, Zepeda VA, Sun K, Shao SJ, Hill C, Arreguin MI, Lu S, Hoh R, Tai VW, Chenna A, Yee BC, Winslow JW, Petropoulos CJ, Kornak J, Henrich TJ, Martin JN, Deeks SG, Hsue PY. Role of antibodies, inflammatory markers, and echocardiographic findings in post-acute cardiopulmonary symptoms after SARS-CoV-2 infection. JCI Insight 2022; 7:157053. [PMID: 35389890 PMCID: PMC9220849 DOI: 10.1172/jci.insight.157053] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/06/2022] [Indexed: 12/15/2022] Open
Abstract
Shortness of breath, chest pain, and palpitations occur as postacute sequelae of COVID-19, but whether symptoms are associated with echocardiographic abnormalities, cardiac biomarkers, or markers of systemic inflammation remains unknown. In a cross-sectional analysis, we assessed symptoms, performed echocardiograms, and measured biomarkers among adults more than 8 weeks after confirmed SARS-CoV-2 infection. We modeled associations between symptoms and baseline characteristics, echocardiographic findings, and biomarkers using logistic regression. We enrolled 102 participants at a median of 7.2 months following COVID-19 onset; 47 individuals reported dyspnea, chest pain, or palpitations. Median age was 52 years, and 41% of participants were women. Female sex, hospitalization, IgG antibody against SARS-CoV-2 receptor binding domain, and C-reactive protein were associated with symptoms. Regarding echocardiographic findings, 4 of 47 participants (9%) with symptoms had pericardial effusions compared with 0 of 55 participants without symptoms; those with effusions had a median of 4 symptoms compared with a median of 1 symptom in those without effusions. There was no strong evidence for a relationship between symptoms and echocardiographic functional parameters or other biomarkers. Among adults more than 8 weeks after SARS-CoV-2 infection, SARS-CoV-2 RBD antibodies, markers of inflammation, and, possibly, pericardial effusions are associated with cardiopulmonary symptoms. Investigation into inflammation as a mechanism underlying postacute sequelae of COVID-19 is warranted.
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Affiliation(s)
- Matthew S Durstenfeld
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Michael J Peluso
- University of California, San Francisco, San Francisco, United States of America
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States of America
| | - Sithu Win
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Shreya Swaminathan
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Danny Li
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Victor M Arechiga
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Victor Antonio Zepeda
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
| | - Kaiwen Sun
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Shirley J Shao
- School of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Christopher Hill
- School of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Mireya I Arreguin
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Scott Lu
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Viva W Tai
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Ahmed Chenna
- Oncology Group, Monogram Biosciences, South San Francisco, United States of America
| | - Brandon C Yee
- Monogram Biosciences, South San Francisco, United States of America
| | - John W Winslow
- Oncology Group, Monogram Biosciences, South San Francisco, United States of America
| | | | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States of America
| | - Timothy J Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, United States of America
| | - Steven G Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Priscilla Y Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, United States of America
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Kelly JD, Frankfurter RG, Tavs JM, Barrie MB, McGinnis T, Kamara M, Freeman A, Quiwah K, Davidson MC, Dighero-Kemp B, Gichini H, Elliott E, Reilly C, Hensley LE, Lane HC, Weiser SD, Porco TC, Rutherford GW, Richardson ET. Association of Lower Exposure Risk With Paucisymptomatic/Asymptomatic Infection, Less Severe Disease, and Unrecognized Ebola Virus Disease: A Seroepidemiological Study. Open Forum Infect Dis 2022; 9:ofac052. [PMID: 35265726 PMCID: PMC8900924 DOI: 10.1093/ofid/ofac052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 01/31/2022] [Indexed: 01/12/2023] Open
Abstract
Background It remains unclear if there is a dose-dependent relationship between exposure risk to Ebola virus (EBOV) and severity of illness. Methods From September 2016 to July 2017, we conducted a cross-sectional, community-based study of Ebola virus disease (EVD) cases and household contacts of several transmission chains in Kono District, Sierra Leone. We analyzed 154 quarantined households, comprising both reported EVD cases and their close contacts. We used epidemiological surveys and blood samples to define severity of illness as no infection, pauci-/asymptomatic infection, unrecognized EVD, reported EVD cases who survived, or reported EVD decedents. We determine seropositivity with the Filovirus Animal Nonclinical Group EBOV glycoprotein immunoglobulin G antibody test. We defined levels of exposure risk from 8 questions and considered contact with body fluid as maximum exposure risk. Results Our analysis included 76 reported EVD cases (both decedents and survivors) and 421 close contacts. Among these contacts, 40 were seropositive (22 paucisymptomatic and 18 unrecognized EVD), accounting for 34% of the total 116 EBOV infections. Higher exposure risks were associated with having had EBOV infection (maximum risk: adjusted odds ratio [AOR], 12.1 [95% confidence interval {CI}, 5.8-25.4; trend test: P < .001) and more severe illness (maximum risk: AOR, 25.2 [95% CI, 6.2-102.4]; trend test: P < .001). Conclusions This community-based study of EVD cases and contacts provides epidemiological evidence of a dose-dependent relationship between exposure risk and severity of illness, which may partially explain why pauci-/asymptomatic EBOV infection, less severe disease, and unrecognized EVD occurs.
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Affiliation(s)
- J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- F. I. Proctor Foundation, University of California, San Francisco, California, USA
- Partners In Health, Freetown, Sierra Leone
| | | | - Jacqueline M Tavs
- F. I. Proctor Foundation, University of California, San Francisco, California, USA
| | - Mohamed Bailor Barrie
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- Partners In Health, Freetown, Sierra Leone
| | - Timothy McGinnis
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | | | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, California, USA
| | - Bonnie Dighero-Kemp
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, Fort Detrick, Maryland, USA
| | - Harrison Gichini
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, Fort Detrick, Maryland, USA
| | - Elizabeth Elliott
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, Fort Detrick, Maryland, USA
| | - Cavan Reilly
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Lisa E Hensley
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, Fort Detrick, Maryland, USA
| | - H Clifford Lane
- Integrated Research Facility, National Institute of Allergy and Infectious Diseases, Fort Detrick, Maryland, USA
| | - Sheri D Weiser
- Division of HIV, Infectious Disease, and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Travis C Porco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- F. I. Proctor Foundation, University of California, San Francisco, California, USA
| | - George W Rutherford
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Eugene T Richardson
- Partners In Health, Freetown, Sierra Leone
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
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49
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Peluso MJ, Deeks SG, Mustapic M, Kapogiannis D, Henrich TJ, Lu S, Goldberg SA, Hoh R, Chen J, Martinez EO, Kelly JD, Martin JN, Goetzl EJ. SARS-CoV-2 and mitochondrial proteins in neural-derived exosomes of COVID-19. Ann Neurol 2022; 91:772-781. [PMID: 35285072 PMCID: PMC9082480 DOI: 10.1002/ana.26350] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/21/2022] [Accepted: 03/10/2022] [Indexed: 11/24/2022]
Abstract
Objective As SARS‐CoV‐2 is known to invade neural cell mitochondria, a plasma system for quantifying central nervous system proteins in living humans was used to investigate neuropathogenic mechanisms of long‐COVID‐19. Methods SARS‐CoV‐2 proteins and mitochondrial proteins (MPs) in enriched plasma neuron‐derived extracellular vesicles (NDEVs) and astrocyte‐derived EVs (ADEVs) were quantified in resolved acute COVID‐19 without post‐acute sequelae of SARS‐CoV‐2 (PASC), PASC without neuropsychiatric manifestations (NP), PASC with NP and healthy controls. Results NDEV and ADEV mean levels of SARS‐CoV‐2 S1 and nucleocapsid (N) proteins were higher in all PASC sub‐groups than controls, but only N levels were higher in PASC with than without NP. Exosome marker CD81‐normalized NDEV mean levels of subunit 6 of MP respiratory chain complex I and subunit 10 of complex III, and neuroprotective MPs Humanin and mitochondrial open‐reading frame of the 12S rRNA‐c (MOTS‐c) all were decreased significantly in PASC with NP but not in PASC without NP relative to controls. NDEV levels of MPs voltage‐dependent anion‐selective channel protein 1 (VDAC1) and N‐methyl‐D‐aspartate receptor 1 (NMDAR1) were decreased in PASC without and with NP, whereas those of calcium channel MPs mitochondrial calcium uniporter (MCU), sodium/calcium exchanger (NCLX) and leucine zipper EF‐hand containing transmembrane 1 protein (LETM1) were decreased only in PASC with NP. ADEV levels of MCU and NCLX only were increased in PASC without and with NP. Interpretation Abnormal NDEV and ADEV levels of SARS‐CoV‐2 N and S1 protein and MPs correlate with NP and may be biomarkers for long‐COVID prognostics and therapeutic trials. ANN NEUROL 2022;91:772–781
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Affiliation(s)
- Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94110, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94110, USA
| | - Maja Mustapic
- Intramural Research Program, National Institute on Aging, Biomedical Research Center, Baltimore, Maryland, USA
| | - Dimitrios Kapogiannis
- Intramural Research Program, National Institute on Aging, Biomedical Research Center, Baltimore, Maryland, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94143, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94110, USA
| | - Jessica Chen
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94110, USA
| | - Enrique O Martinez
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, California, 94110, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, 94143, USA
| | - Edward J Goetzl
- Department of Medicine, University of California San Francisco, San Francisco, California, 94143, USA.,Research Department, Campus for Jewish Living, San Francisco, California, 94112, USA
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O’Brien KS, Sié A, Dah C, Ourohiré M, Ouedraogo M, Boudo V, Arzika A, Lebas E, Nyatigo F, Godwin W, Kelly JD, Arnold BF, Oldenburg CE. Comparing Azithromycin to Amoxicillin in the Management of Uncomplicated Severe Acute Malnutrition in Burkina Faso: A Pilot Randomized Trial. Am J Trop Med Hyg 2022; 106:930-938. [PMID: 35008055 PMCID: PMC8922483 DOI: 10.4269/ajtmh.21-1023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/12/2021] [Indexed: 11/07/2022] Open
Abstract
Azithromycin is a promising alternative to amoxicillin in the management of uncomplicated severe acute malnutrition (SAM) as it can be administered as a single dose and has efficacy against several pathogens causing infectious disease and mortality in children under 5. In this pilot trial, we aimed to establish the feasibility of a larger randomized controlled trial and provide preliminary evidence comparing the effect of azithromycin to amoxicillin on weight gain in children with uncomplicated SAM. We enrolled children 6-59 months old with uncomplicated SAM at six healthcare centers in Burkina Faso. Participants were randomized to a single dose of azithromycin or a 7-day course of amoxicillin and followed weekly until nutritional recovery and again at 8 weeks. Apart from antibiotics, participants received standard of care, which includes ready-to-use therapeutic food. Primary feasibility outcomes included enrollment potential, refusals, and loss to follow-up. The primary clinical outcome was weight gain (g/kg/day) over 8 weeks. Outcome assessors were masked. Between June and October 2020, 312 children were screened, 301 were enrolled with zero refusals, and 282 (93.6%) completed the 8-week visit. Average weight gain was 2.5 g/kg/day (standard deviation [SD] 2.0) in the azithromycin group and 2.6 (SD 1.7) in the amoxicillin group (mean difference -0.1, 95% CI -0.5 to 0.3, P = 0.63). Fewer adverse events were reported in the azithromycin group (risk ratio 0.50, 95% CI 0.31-0.82, P = 0.006). With strong enrollment and follow-up, a fully powered trial in this setting is feasible.
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Affiliation(s)
- Kieran S. O’Brien
- Francis I Proctor Foundation, University of California, San Francisco, California
| | - Ali Sié
- Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso
| | - Clarisse Dah
- Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso
| | | | | | - Valentin Boudo
- Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso
| | - Ahmed Arzika
- Centre de Recherche et Interventions en Santé Publique, Niamey, Niger
| | - Elodie Lebas
- Francis I Proctor Foundation, University of California, San Francisco, California
| | - Fanice Nyatigo
- Francis I Proctor Foundation, University of California, San Francisco, California
| | - William Godwin
- Francis I Proctor Foundation, University of California, San Francisco, California
| | - J. Daniel Kelly
- Francis I Proctor Foundation, University of California, San Francisco, California
| | - Benjamin F. Arnold
- Francis I Proctor Foundation, University of California, San Francisco, California;,Department of Ophthalmology, University of California, San Francisco, California
| | - Catherine E. Oldenburg
- Francis I Proctor Foundation, University of California, San Francisco, California;,Department of Ophthalmology, University of California, San Francisco, California;,Department of Epidemiology & Biostatistics, University of California, San Francisco, California,Address correspondence to Catherine E. Oldenburg, Francis I. Proctor Foundation, University of California, San Francisco, 490 Illinois St., 2nd floor, San Francisco, CA 94158. E-mail:
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