1
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Tanneti NS, Patel AK, Tan LH, Marques AD, Perera RAPM, Sherrill-Mix S, Kelly BJ, Renner DM, Collman RG, Rodino K, Lee C, Bushman FD, Cohen NA, Weiss SR. Comparison of SARS-CoV-2 variants of concern in primary human nasal cultures demonstrates Delta as most cytopathic and Omicron as fastest replicating. mBio 2024; 15:e0312923. [PMID: 38477472 PMCID: PMC11005367 DOI: 10.1128/mbio.03129-23] [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: 11/20/2023] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
The SARS-CoV-2 pandemic was marked with emerging viral variants, some of which were designated as variants of concern (VOCs) due to selection and rapid circulation in the human population. Here, we elucidate functional features of each VOC linked to variations in replication rate. Patient-derived primary nasal cultures grown at air-liquid interface were used to model upper respiratory infection and compared to cell lines derived from human lung epithelia. All VOCs replicated to higher titers than the ancestral virus, suggesting a selection for replication efficiency. In primary nasal cultures, Omicron replicated to the highest titers at early time points, followed by Delta, paralleling comparative studies of population sampling. All SARS-CoV-2 viruses entered the cell primarily via a transmembrane serine protease 2 (TMPRSS2)-dependent pathway, and Omicron was more likely to use an endosomal route of entry. All VOCs activated and overcame dsRNA-induced cellular responses, including interferon (IFN) signaling, oligoadenylate ribonuclease L degradation, and protein kinase R activation. Among the VOCs, Omicron infection induced expression of the most IFN and IFN-stimulated genes. Infections in nasal cultures resulted in cellular damage, including a compromise of cell barrier integrity and loss of nasal cilia and ciliary beating function, especially during Delta infection. Overall, Omicron was optimized for replication in the upper respiratory tract and least favorable in the lower respiratory cell line, and Delta was the most cytopathic for both upper and lower respiratory cells. Our findings highlight the functional differences among VOCs at the cellular level and imply distinct mechanisms of pathogenesis in infected individuals. IMPORTANCE Comparative analysis of infections by SARS-CoV-2 ancestral virus and variants of concern, including Alpha, Beta, Delta, and Omicron, indicated that variants were selected for efficiency in replication. In infections of patient-derived primary nasal cultures grown at air-liquid interface to model upper respiratory infection, Omicron reached the highest titers at early time points, a finding that was confirmed by parallel population sampling studies. While all infections overcame dsRNA-mediated host responses, infections with Omicron induced the strongest interferon and interferon-stimulated gene response. In both primary nasal cultures and lower respiratory cell line, infections by Delta were most damaging to the cells as indicated by syncytia formation, loss of cell barrier integrity, and nasal ciliary function.
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Affiliation(s)
- Nikhila S. Tanneti
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Anant K. Patel
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Li Hui Tan
- Department of Otorhinolaryngology- Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew D. Marques
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ranawaka A. P. M. Perera
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Scott Sherrill-Mix
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Brendan J. Kelly
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David M. Renner
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ronald G. Collman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kyle Rodino
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Carole Lee
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Frederic D. Bushman
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Noam A. Cohen
- Department of Otorhinolaryngology- Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Corporal Michael J. Crescenz VA Medical Center, Surgical Services, Philadelphia, Pennsylvania, USA
- Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA
| | - Susan R. Weiss
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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2
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Marques AD, Graham-Wooten J, Fitzgerald AS, Sobel Leonard A, Cook EJ, Everett JK, Rodino KG, Moncla LH, Kelly BJ, Collman RG, Bushman FD. SARS-CoV-2 evolution during prolonged infection in immunocompromised patients. mBio 2024; 15:e0011024. [PMID: 38364100 PMCID: PMC10936176 DOI: 10.1128/mbio.00110-24] [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: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/18/2024] Open
Abstract
Prolonged infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in immunocompromised patients provides an opportunity for viral evolution, potentially leading to the generation of new pathogenic variants. To investigate the pathways of viral evolution, we carried out a study on five patients experiencing prolonged SARS-CoV-2 infection (quantitative polymerase chain reaction-positive for 79-203 days) who were immunocompromised due to treatment for lymphoma or solid organ transplantation. For each timepoint analyzed, we generated at least two independent viral genome sequences to assess the heterogeneity and control for sequencing error. Four of the five patients likely had prolonged infection; the fifth apparently experienced a reinfection. The rates of accumulation of substitutions in the viral genome per day were higher in hospitalized patients with prolonged infection than those estimated for the community background. The spike coding region accumulated a significantly greater number of unique mutations than other viral coding regions, and the mutation density was higher. Two patients were treated with monoclonal antibodies (bebtelovimab and sotrovimab); by the next sampled timepoint, each virus population showed substitutions associated with monoclonal antibody resistance as the dominant forms (spike K444N and spike E340D). All patients received remdesivir, but remdesivir-resistant substitutions were not detected. These data thus help elucidate the trends of emergence, evolution, and selection of mutational variants within long-term infected immunocompromised individuals. IMPORTANCE SARS-CoV-2 is responsible for a global pandemic, driven in part by the emergence of new viral variants. Where do these new variants come from? One model is that long-term viral persistence in infected individuals allows for viral evolution in response to host pressures, resulting in viruses more likely to replicate efficiently in humans. In this study, we characterize replication in several hospitalized and long-term infected individuals, documenting efficient pathways of viral evolution.
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Affiliation(s)
- Andrew D. Marques
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jevon Graham-Wooten
- Division of Pulmonary, Allergy, and Critical Care, Philadelphia, Pennsylvania, USA
| | | | - Ashley Sobel Leonard
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Emma J. Cook
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John K. Everett
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kyle G. Rodino
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Louise H. Moncla
- Department of Pathobiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan J. Kelly
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronald G. Collman
- Division of Pulmonary, Allergy, and Critical Care, Philadelphia, Pennsylvania, USA
| | - Frederic D. Bushman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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3
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Kelly BJ, Kwon JH, Woodworth MH. Escape Velocity - The Launch of Microbiome Therapies. J Infect Dis 2024:jiae099. [PMID: 38446696 DOI: 10.1093/infdis/jiae099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/16/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024] Open
Abstract
FDA approval of the first microbiota therapeutics raises new questions about the future role of fecal microbiota transplantation (FMT). The authors explore these questions and suggest that FMT has unique value for research and to support patient access.
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Affiliation(s)
- Brendan J Kelly
- Department of Medicine, Division of Infectious Diseases, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennie H Kwon
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael H Woodworth
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, GA, USA
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4
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Tanneti NS, Patel AK, Tan LH, Marques AD, Perera RAPM, Sherrill-Mix S, Kelly BJ, Renner DM, Collman RG, Rodino K, Lee C, Bushman FD, Cohen NA, Weiss SR. Comparison of SARS-CoV-2 variants of concern in primary human nasal cultures demonstrates Delta as most cytopathic and Omicron as fastest replicating. bioRxiv 2023:2023.08.24.553565. [PMID: 37662273 PMCID: PMC10473756 DOI: 10.1101/2023.08.24.553565] [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: 09/05/2023]
Abstract
The SARS-CoV-2 pandemic was marked with emerging viral variants, some of which were designated as variants of concern (VOCs) due to selection and rapid circulation in the human population. Here we elucidate functional features of each VOC linked to variations in replication rate. Patient-derived primary nasal cultures grown at air-liquid-interface (ALI) were used to model upper-respiratory infection and human lung epithelial cell lines used to model lower-respiratory infection. All VOCs replicated to higher titers than the ancestral virus, suggesting a selection for replication efficiency. In primary nasal cultures, Omicron replicated to the highest titers at early time points, followed by Delta, paralleling comparative studies of population sampling. All SARS-CoV-2 viruses entered the cell primarily via a transmembrane serine protease 2 (TMPRSS2)-dependent pathway, and Omicron was more likely to use an endosomal route of entry. All VOCs activated and overcame dsRNA-induced cellular responses including interferon (IFN) signaling, oligoadenylate ribonuclease L degradation and protein kinase R activation. Among the VOCs, Omicron infection induced expression of the most IFN and IFN stimulated genes. Infections in nasal cultures resulted in cellular damage, including a compromise of cell-barrier integrity and loss of nasal cilia and ciliary beating function, especially during Delta infection. Overall, Omicron was optimized for replication in the upper-respiratory system and least-favorable in the lower-respiratory cell line; and Delta was the most cytopathic for both upper and lower respiratory cells. Our findings highlight the functional differences among VOCs at the cellular level and imply distinct mechanisms of pathogenesis in infected individuals.
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Affiliation(s)
| | | | - Li Hui Tan
- Department of Otorhinolaryngology- Head and Neck Surgery
| | | | | | | | - Brendan J Kelly
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | | | - Ronald G Collman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Kyle Rodino
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | | | | | - Noam A Cohen
- Department of Otorhinolaryngology- Head and Neck Surgery
- Corporal Michael J. Crescenz VA Medical Center, Surgical Services, Philadelphia, USA
- Monell Chemical Senses Center, Philadelphia, USA
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5
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Montassier E, Kitsios GD, Radder JE, Le Bastard Q, Kelly BJ, Panzer A, Lynch SV, Calfee CS, Dickson RP, Roquilly A. Robust airway microbiome signatures in acute respiratory failure and hospital-acquired pneumonia. Nat Med 2023; 29:2793-2804. [PMID: 37957375 DOI: 10.1038/s41591-023-02617-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/27/2023] [Indexed: 11/15/2023]
Abstract
Respiratory microbial dysbiosis is associated with acute respiratory distress syndrome (ARDS) and hospital-acquired pneumonia (HAP) in critically ill patients. However, we lack reproducible respiratory microbiome signatures that can increase our understanding of these conditions and potential treatments. Here, we analyze 16S rRNA sequencing data from 2,177 respiratory samples collected from 1,029 critically ill patients (21.7% with ARDS and 26.3% with HAP) and 327 healthy controls, sourced from 17 published studies. After data harmonization and pooling of individual patient data, we identified microbiota signatures associated with ARDS, HAP and prolonged mechanical ventilation. Microbiota signatures for HAP and prolonged mechanical ventilation were characterized by depletion of a core group of microbes typical of healthy respiratory samples, and the ARDS microbiota signature was distinguished by enrichment of potentially pathogenic respiratory microbes, including Pseudomonas and Staphylococcus. Using machine learning models, we identified clinically informative, three- and four-factor signatures that predicted ARDS, HAP and prolonged mechanical ventilation with relatively high accuracy (area under the curve of 0.751, 0.72 and 0.727, respectively). We validated the signatures in an independent prospective cohort of 136 patients on mechanical ventillation and found that patients with microbiome signatures associated with ARDS, HAP or prolonged mechanical ventilation had longer times to successful extubation than patients lacking these signatures (hazard ratios of 1.56 (95% confidence interval (CI) 1.07-2.27), 1.51 (95% CI 1.02-2.23) and 1.50 (95% CI 1.03-2.18), respectively). Thus, we defined and validated robust respiratory microbiome signatures associated with ARDS and HAP that may help to identify promising targets for microbiome therapeutic modulation in critically ill patients.
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Affiliation(s)
- Emmanuel Montassier
- Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes Université, Inserm, CHU Nantes, Nantes, France.
- Service des Urgences, Nantes Université, CHU Nantes, Nantes, France.
| | - Georgios D Kitsios
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | - Josiah E Radder
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Brendan J Kelly
- Department of Medicine, Division of Infectious Diseases, University of Pennsylvania, Philadelphia, PA, USA
| | - Ariane Panzer
- Department of Medicine, Division of Gastroenterology, University of California, San Francisco, CA, USA
| | - Susan V Lynch
- Department of Medicine, Division of Gastroenterology, University of California, San Francisco, CA, USA
| | - Carolyn S Calfee
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, CA, USA
| | - Robert P Dickson
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, USA
- Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, USA
- Weil Institute for Critical Care Research and Innovation, Ann Arbor, MI, USA
| | - Antoine Roquilly
- Center for Research in Transplantation and Translational Immunology, UMR 1064, Nantes Université, Inserm, CHU Nantes, Nantes, France.
- Service d'Anesthesie Réanimation, Nantes Université, CHU Nantes, Nantes, France.
- Department of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
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6
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Doernberg SB, Arias CA, Altman DR, Babiker A, Boucher HW, Creech CB, Cosgrove SE, Evans SR, Fowler VG, Fritz SA, Hamasaki T, Kelly BJ, Leal SM, Liu C, Lodise TP, Miller LG, Munita JM, Murray BE, Pettigrew MM, Ruffin F, Scheetz MH, Shopsin B, Tran TT, Turner NA, Williams DJ, Zaharoff S, Holland TL. Priorities and Progress in Gram-positive Bacterial Infection Research by the Antibacterial Resistance Leadership Group: A Narrative Review. Clin Infect Dis 2023; 77:S295-S304. [PMID: 37843115 PMCID: PMC10578051 DOI: 10.1093/cid/ciad565] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
The Antibacterial Resistance Leadership Group (ARLG) has prioritized infections caused by gram-positive bacteria as one of its core areas of emphasis. The ARLG Gram-positive Committee has focused on studies responding to 3 main identified research priorities: (1) investigation of strategies or therapies for infections predominantly caused by gram-positive bacteria, (2) evaluation of the efficacy of novel agents for infections caused by methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci, and (3) optimization of dosing and duration of antimicrobial agents for gram-positive infections. Herein, we summarize ARLG accomplishments in gram-positive bacterial infection research, including studies aiming to (1) inform optimal vancomycin dosing, (2) determine the role of dalbavancin in MRSA bloodstream infection, (3) characterize enterococcal bloodstream infections, (4) demonstrate the benefits of short-course therapy for pediatric community-acquired pneumonia, (5) develop quality of life measures for use in clinical trials, and (6) advance understanding of the microbiome. Future studies will incorporate innovative methodologies with a focus on interventional clinical trials that have the potential to change clinical practice for difficult-to-treat infections, such as MRSA bloodstream infections.
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Affiliation(s)
- Sarah B Doernberg
- Division of Infectious Diseases, Department of Medicine, University of California, SanFrancisco, California, USA
| | - Cesar A Arias
- Division of Infectious Diseases, Department of Medicine, Houston Methodist Hospital, Houston, Texas, USA
- Center for Infectious Diseases, Houston Methodist Research Institute, Houston, Texas, USA
- Department of Medicine, Weill-Cornell Medical College, New York, New York, USA
| | - Deena R Altman
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, NewYork, New York, USA
| | - Ahmed Babiker
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Helen W Boucher
- Tufts University School of Medicine, Medford, Massachusetts, USA
| | - C Buddy Creech
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Vaccine Research Program, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sara E Cosgrove
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Scott R Evans
- Department of Biostatistics, George Washington University, Washington, District of Columbia, USA
| | - Vance G Fowler
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Stephanie A Fritz
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA
| | - Toshimitsu Hamasaki
- Biostatistics Center, George Washington University, Rockville, Maryland, USA
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sixto M Leal
- Department of Laboratory Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Catherine Liu
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA
| | - Thomas P Lodise
- Department of Pharmacy Practice, Albany College of Pharmacy and Health Sciences, Albany, New York, USA
| | - Loren G Miller
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
- Division of Infectious Diseases, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Jose M Munita
- Instituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clinica Alemana, Universidad del Desarrollo, Santiago, Chile
- Multidisciplinary Initiative for Collaborative Research on Bacterial Resistance, Santiago, Chile
| | - Barbara E Murray
- Division of Infectious Diseases, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Melinda M Pettigrew
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Felicia Ruffin
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Marc H Scheetz
- Pharmacometrics Center of Excellence, College of Pharmacy, Midwestern University, Downers Grove, Illinois, USA
| | - Bo Shopsin
- Division of Infectious Diseases, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
- Department of Microbiology, NewYork University Grossman School of Medicine, New York, New York, USA
| | - Truc T Tran
- Center for Infectious Diseases, Houston Methodist Research Institute, Houston, Texas, USA
| | - Nicholas A Turner
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Derek J Williams
- Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University School of Medicine and the Monroe Carell Jr Children's Hospital at Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Smitha Zaharoff
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Thomas L Holland
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
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7
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Anderson TL, Nande A, Merenstein C, Raynor B, Oommen A, Kelly BJ, Levy MZ, Hill AL. Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies. Epidemics 2023; 44:100710. [PMID: 37556994 PMCID: PMC10594662 DOI: 10.1016/j.epidem.2023.100710] [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: 12/01/2022] [Revised: 03/17/2023] [Accepted: 07/18/2023] [Indexed: 08/11/2023] Open
Abstract
The spread of SARS-CoV-2, like that of many other pathogens, is governed by heterogeneity. "Superspreading," or "over-dispersion," is an important factor in transmission, yet it is hard to quantify. Estimates from contact tracing data are prone to potential biases due to the increased likelihood of detecting large clusters of cases, and may reflect variation in contact behavior more than biological heterogeneity. In contrast, the average number of secondary infections per contact is routinely estimated from household surveys, and these studies can minimize biases by testing all members of a household. However, the models used to analyze household transmission data typically assume that infectiousness and susceptibility are the same for all individuals or vary only with predetermined traits such as age. Here we develop and apply a combined forward simulation and inference method to quantify the degree of inter-individual variation in both infectiousness and susceptibility from observations of the distribution of infections in household surveys. First, analyzing simulated data, we show our method can reliably ascertain the presence, type, and amount of these heterogeneities given data from a sufficiently large sample of households. We then analyze a collection of household studies of COVID-19 from diverse settings around the world, and find strong evidence for large heterogeneity in both the infectiousness and susceptibility of individuals. Our results also provide a framework to improve the design of studies to evaluate household interventions in the presence of realistic heterogeneity between individuals.
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Affiliation(s)
- Thayer L Anderson
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America
| | - Anjalika Nande
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America
| | - Carter Merenstein
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Brinkley Raynor
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Anisha Oommen
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States of America
| | - Brendan J Kelly
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America; Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America; Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Michael Z Levy
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Alison L Hill
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States of America.
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8
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Redding LE, Habing GG, Tu V, Bittinger KL, O'Day J, Pancholi P, Wang SH, Alexander A, Kelly BJ, Weese JS, Stull JW. Infrequent intrahousehold transmission of Clostridioides difficile between pet owners and their pets. Zoonoses Public Health 2023; 70:341-351. [PMID: 36779297 PMCID: PMC10175142 DOI: 10.1111/zph.13032] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 01/19/2023] [Accepted: 02/01/2023] [Indexed: 02/14/2023]
Abstract
Companion animals have been shown to carry Clostridioides difficile strains that are similar or identical to strains found in people, and a small number of studies have shown that pets carry genetically identical C. difficile isolates as their owners, suggesting inter-species transmission. However, the directionality of transmission is ultimately unknown, and the frequency with which animals acquire C. difficile following their owners' infection is unclear. The goal of this study was to assess how often pets belonging to people with C. difficile infection carry genetically related C. difficile isolates. We enrolled pet owners from two medical institutions (University of Pennsylvania Health System (UPHS) and The Ohio State University Wexner Medical Center (OSUWMC)) who had diarrhoea with or without positive C. difficile assays and tested their faeces and their pets' faeces for C. difficile using both anaerobic culture and PCR assays. When microorganisms were obtained from both the owner and pet and had the same toxin profile or ribotype, isolates underwent genomic sequencing. Faecal samples were obtained from a total of 59 humans, 72 dogs and 9 cats, representing 47 complete households (i.e. where a sample was available from the owner and at least one pet). Of these, C. difficile was detected in 30 humans, 10 dogs and 0 cats. There were only two households where C. difficile was detected in both the owner and pet. In one of these households, the C. difficile isolates were of different toxin profiles/ribotypes (A+/B+ / RT 499 from the owner, A-/B- / RT PR22386 from the dog). In the other household, the isolates were genetically identical (one SNP difference). Interestingly, the dog from this household had recently received a course of antibiotics (cefpodoxime and metronidazole). Our findings suggest that inter-species transmission of C. difficile occurs infrequently in households with human C. difficile infections.
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Affiliation(s)
- Laurel E Redding
- Department of Clinical Studies-New Bolton Center, University of Pennsylvania, School of Veterinary Medicine, Kennett Square, Pennsylvania, USA
| | - Greg G Habing
- Department of Veterinary Preventive Medicine, The Ohio State University, College of Veterinary Medicine, Columbus, Ohio, USA
| | - Vincent Tu
- Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kyle L Bittinger
- Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jack O'Day
- Department of Veterinary Preventive Medicine, The Ohio State University, College of Veterinary Medicine, Columbus, Ohio, USA
| | - Preeti Pancholi
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Shu-Hua Wang
- Infectious Disease Division, Internal Medicine Department, The Ohio State University, College of Medicine, Columbus, Ohio, USA.,Global One Health initiative, The Ohio State University, Columbus, Ohio, USA
| | - Andrew Alexander
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Brendan J Kelly
- Divisions of Infectious Diseases and Epidemiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - J Scott Weese
- Department of Pathobiology, University of Guelph, Ontario Veterinary College, Guelph, Ontario, Canada
| | - Jason W Stull
- Department of Veterinary Preventive Medicine, The Ohio State University, College of Veterinary Medicine, Columbus, Ohio, USA
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9
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Anderson TL, Nande A, Merenstein C, Raynor B, Oommen A, Kelly BJ, Levy MZ, Hill AL. Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies. medRxiv 2022:2022.12.02.22281853. [PMID: 36523404 PMCID: PMC9753792 DOI: 10.1101/2022.12.02.22281853] [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] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The spread of SARS-CoV-2, like that of many other pathogens, is governed by heterogeneity. "Superspreading," or "over-dispersion," is an important factor in transmission, yet it is hard to quantify. Estimates from contact tracing data are prone to potential biases due to the increased likelihood of detecting large clusters of cases, and may reflect variation in contact behavior more than biological heterogeneity. In contrast, the average number of secondary infections per contact is routinely estimated from household surveys, and these studies can minimize biases by testing all members of a household. However, the models used to analyze household transmission data typically assume that infectiousness and susceptibility are the same for all individuals or vary only with predetermined traits such as age. Here we develop and apply a combined forward simulation and inference method to quantify the degree of inter-individual variation in both infectiousness and susceptibility from observations of the distribution of infections in household surveys. First, analyzing simulated data, we show our method can reliably ascertain the presence, type, and amount of these heterogeneities with data from a sufficiently large sample of households. We then analyze a collection of household studies of COVID-19 from diverse settings around the world, and find strong evidence for large heterogeneity in both the infectiousness and susceptibility of individuals. Our results also provide a framework to improve the design of studies to evaluate household interventions in the presence of realistic heterogeneity between individuals.
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Affiliation(s)
- Thayer L Anderson
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218
| | - Anjalika Nande
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218
| | - Carter Merenstein
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Brinkley Raynor
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Anisha Oommen
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Michael Z Levy
- Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Alison L Hill
- Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218
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10
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Ziegler MJ, Huang E, Bekele S, Reesey E, Tolomeo P, Loughrey S, David MZ, Lautenbach E, Kelly BJ. Spatial and temporal effects on severe acute respiratory coronavirus virus 2 (SARS-CoV-2) contamination of the healthcare environment. Infect Control Hosp Epidemiol 2022; 43:1773-1778. [PMID: 34955111 PMCID: PMC8755533 DOI: 10.1017/ice.2021.530] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/14/2021] [Accepted: 12/14/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND The spatial and temporal extent of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) environmental contamination has not been precisely defined. We sought to elucidate contamination of different surface types and how contamination changes over time. METHODS We sampled surfaces longitudinally within COVID-19 patient rooms, performed quantitative RT-PCR for the detection of SARS-CoV-2 RNA, and modeled distance, time, and severity of illness on the probability of detecting SARS-CoV-2 using a mixed-effects binomial model. RESULTS The probability of detecting SARS-CoV-2 RNA in a patient room did not vary with distance. However, we found that surface type predicted probability of detection, with floors and high-touch surfaces having the highest probability of detection: floors (odds ratio [OR], 67.8; 95% credible interval [CrI], 36.3-131) and high-touch elevated surfaces (OR, 7.39; 95% CrI, 4.31-13.1). Increased surface contamination was observed in room where patients required high-flow oxygen, positive airway pressure, or mechanical ventilation (OR, 1.6; 95% CrI, 1.03-2.53). The probability of elevated surface contamination decayed with prolonged hospitalization, but the probability of floor detection increased with the duration of the local pandemic wave. CONCLUSIONS Distance from a patient's bed did not predict SARS-CoV-2 RNA deposition in patient rooms, but surface type, severity of illness, and time from local pandemic wave predicted surface deposition.
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Affiliation(s)
- Matthew J. Ziegler
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Elizabeth Huang
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Selamawit Bekele
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Emily Reesey
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Pam Tolomeo
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sean Loughrey
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michael Z. David
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan J. Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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11
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Rodino KG, Peaper DR, Kelly BJ, Bushman F, Marques A, Adhikari H, Tu ZJ, Marrero Rolon R, Westblade LF, Green DA, Berry GJ, Wu F, Annavajhala MK, Uhlemann AC, Parikh BA, McMillen T, Jani K, Babady NE, Hahn AM, Koch RT, Grubaugh ND, Rhoads DD. Partial ORF1ab Gene Target Failure with Omicron BA.2.12.1. J Clin Microbiol 2022; 60:e0060022. [PMID: 35582905 PMCID: PMC9199403 DOI: 10.1128/jcm.00600-22] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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] [Indexed: 12/21/2022] Open
Abstract
Mutations in the genome of SARS-CoV-2 can affect the performance of molecular diagnostic assays. In some cases, such as S-gene target failure, the impact can serve as a unique indicator of a particular SARS-CoV-2 variant and provide a method for rapid detection. Here, we describe partial ORF1ab gene target failure (pOGTF) on the cobas SARS-CoV-2 assays, defined by a ≥2-thermocycle delay in detection of the ORF1ab gene compared to that of the E-gene. We demonstrate that pOGTF is 98.6% sensitive and 99.9% specific for SARS-CoV-2 lineage BA.2.12.1, an emerging variant in the United States with spike L452Q and S704L mutations that may affect transmission, infectivity, and/or immune evasion. Increasing rates of pOGTF closely mirrored rates of BA.2.12.1 sequences uploaded to public databases, and, importantly, increasing local rates of pOGTF also mirrored increasing overall test positivity. Use of pOGTF as a proxy for BA.2.12.1 provides faster tracking of the variant than whole-genome sequencing and can benefit laboratories without sequencing capabilities.
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Affiliation(s)
- Kyle G. Rodino
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
| | - David R. Peaper
- Department of Laboratory Medicine, Yale Universitygrid.47100.32, New Haven, Connecticut, USA
| | - Brendan J. Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
| | - Frederic Bushman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
| | - Andrew Marques
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
| | - Hriju Adhikari
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvaniagrid.25879.31, Philadelphia, Pennsylvania, USA
| | - Zheng Jin Tu
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Rebecca Marrero Rolon
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicinegrid.471410.7, New York, New York, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicinegrid.471410.7, New York, New York, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicinegrid.471410.7, New York, New York, USA
| | - Daniel A. Green
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Gregory J. Berry
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Fann Wu
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Medini K. Annavajhala
- Division of Infectious Diseases, Columbia University Irving Medical Center, New York, New York, USA
| | - Anne-Catrin Uhlemann
- Division of Infectious Diseases, Columbia University Irving Medical Center, New York, New York, USA
| | - Bijal A. Parikh
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tracy McMillen
- Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA
| | - Krupa Jani
- Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA
| | - N. Esther Babady
- Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA
- Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Centergrid.51462.34, New York, New York, USA
| | - Anne M. Hahn
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Robert T. Koch
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
| | - Nathan D. Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA
- Department of Ecology and Evolutionary Biology, Yale Universitygrid.47100.32, New Haven, Connecticut, USA
| | | | - Daniel D. Rhoads
- Department of Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Pathology, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
- Infection Biology Program, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
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12
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Rodino KG, Peaper DR, Kelly BJ, Bushman F, Marques A, Adhikari H, Tu ZJ, Rolon RM, Westblade LF, Green DA, Berry GJ, Wu F, Annavajhala MK, Uhlemann AC, Parikh BA, McMillen T, Jani K, Babady NE, Hahn AM, Koch RT, Grubaugh ND, Rhoads DD. Partial ORF1ab Gene Target Failure with Omicron BA.2.12.1. medRxiv 2022:2022.04.25.22274187. [PMID: 35547854 PMCID: PMC9094110 DOI: 10.1101/2022.04.25.22274187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Mutations in the viral genome of SARS-CoV-2 can impact the performance of molecular diagnostic assays. In some cases, such as S gene target failure, the impact can serve as a unique indicator of a particular SARS-CoV-2 variant and provide a method for rapid detection. Here we describe partial ORF1ab gene target failure (pOGTF) on the cobas ® SARS-CoV-2 assays, defined by a ≥2 thermocycles delay in detection of the ORF1ab gene compared to the E gene. We demonstrate that pOGTF is 97% sensitive and 99% specific for SARS-CoV-2 lineage BA.2.12.1, an emerging variant in the United States with spike L452Q and S704L mutations that may impact transmission, infectivity, and/or immune evasion. Increasing rates of pOGTF closely mirrored rates of BA.2.12.1 sequences uploaded to public databases, and, importantly increasing local rates of pOGTF also mirrored increasing overall test positivity. Use of pOGTF as a proxy for BA.2.12.1 provides faster tracking of the variant than whole-genome sequencing and can benefit laboratories without sequencing capabilities.
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13
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Zhang HL, Kelly BJ, David MZ, Lautenbach E, Huang E, Bekele S, Tolomeo P, Reesey E, Loughrey S, Pegues D, Ziegler MJ. SARS-CoV-2 RNA persists on surfaces following terminal disinfection of COVID-19 hospital isolation rooms. Am J Infect Control 2022; 50:462-464. [PMID: 35108581 PMCID: PMC8801058 DOI: 10.1016/j.ajic.2022.01.014] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 01/01/2023]
Abstract
We evaluated the effect of terminal cleaning on SARS-CoV-2 RNA contamination of COVID-19 isolation rooms in an acute care hospital. SARS-CoV-2 RNA was detected on 32.1% of room surfaces after cleaning; the odds of contamination increased with month. The prevalence of elevated high-touch surface contamination was lower in terminally cleaned rooms than patient-occupied rooms.
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Affiliation(s)
- Helen L Zhang
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Michael Z David
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Elizabeth Huang
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Selamawit Bekele
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Pam Tolomeo
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Emily Reesey
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sean Loughrey
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - David Pegues
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Health Care Epidemiology, Infection Prevention and Control, University of Pennsylvania Health System, Philadelphia, PA
| | - Matthew J Ziegler
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Health Care Epidemiology, Infection Prevention and Control, University of Pennsylvania Health System, Philadelphia, PA
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14
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Kelly BJ, Diez-Cecilia E, Pan L, Sweeting B, Villar L, Kreft A, Gupta M, Johnson SL, Weaver D. A Privileged Dual Action Alzheimer’s Disease Therapeutic Platform Targeting Immunopathic and Proteopathic Mechanisms: (E)-3-Styrylindoles as Inhibitors of Indoleamine 2,3-Dioxygenase-Mediated Tryptophan Metabolism and β-Amyloid Aggregation. CAN J CHEM 2022. [DOI: 10.1139/cjc-2021-0324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The design of potent indoleamine 2,3-dioxygenase 1 (IDO1) enzyme inhibitors targeting immunopathic neuroinflammation has emerged as an area of interest for the treatment of Alzheimer’s disease (AD); additionally, recent findings on the clinical benefits of antibodies preventing β-amyloid (Aβ) aggregation have renewed efforts to discover small molecule anti-aggregants targeting proteopathic protein misfolding. Exploiting an endogenous tryptophan-like scaffold, we describe the design and synthesis of small molecule inhibitors of both immunopathic and proteopathic processes, thus presenting the possibility of single therapeutics acting simultaneously on multiple AD pathogeneses. Specifically, investigations on compounds that inhibit both IDO1 (in human recombinant enzyme, transfected HEK293 cells and interferon-γ stimulated human microglia assays) and Aβ aggregation (in thioflavin-T and biotinylated-Aβ oligomeric assays) are presented. Five compounds have been identified with high potency against both targets, identifying (E)-3-styryl indoles as useful tool compounds for developing Alzheimer’s therapeutics. Brain penetration of these compounds via passive diffusion or active transport was predicted using Blood-Brain Barrier (BBB) Score and Brain Exposure Efficiency (BEE) Score calculations, respectively; the effects of efflux (pgp, BCRP) and influx (OCT1, OCT2) transporters were similarly predicted. Structure-activity relationships were rationalized with molecular docking and molecular dynamics simulations, which also provide insights for future lead compound optimization.
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Affiliation(s)
| | - Elena Diez-Cecilia
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | - Luzhe Pan
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | - Braden Sweeting
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | - Laura Villar
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | - Alexander Kreft
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | - Mayuri Gupta
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
| | | | - Donald Weaver
- University Health Network, 7989, Krembil Research Institute, Toronto, Ontario, Canada
- University of Toronto Faculty of Arts & Science, 98586, Chemistry, Medicine and Pharmaceutical Sciences, Toronto, Canada
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15
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Lenz OC, Marques AD, Kelly BJ, Rodino KG, Cole SD, Perera RAPM, Weiss SR, Bushman FD, Lennon EM. SARS-CoV-2 Delta Variant (AY.3) in the Feces of a Domestic Cat. Viruses 2022; 14:v14020421. [PMID: 35216014 PMCID: PMC8877841 DOI: 10.3390/v14020421] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [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: 01/26/2022] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 12/04/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have spilled over from humans to companion and wild animals since the inception of the global COVID-19 pandemic. However, whole genome sequencing data of the viral genomes that infect non-human animal species have been scant. Here, we detected and sequenced a SARS-CoV-2 delta variant (AY.3) in fecal samples from an 11-year-old domestic house cat previously exposed to an owner who tested positive for SARS-CoV-2. Molecular testing of two fecal samples collected 7 days apart yielded relatively high levels of viral RNA. Sequencing of the feline-derived viral genomes showed the two to be identical, and differing by between 4 and 14 single nucleotide polymorphisms in pairwise comparisons to human-derived lineage AY.3 sequences collected in the same geographic area and time period. However, several mutations unique to the feline samples reveal their divergence from this cohort on phylogenetic analysis. These results demonstrate continued spillover infections of emerging SARS-CoV-2 variants that threaten human and animal health, as well as highlight the importance of collecting fecal samples when testing for SARS-CoV-2 in animals. To the authors’ knowledge, this is the first published case of a SARS-CoV-2 delta variant in a domestic cat in the United States.
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Affiliation(s)
- Olivia C. Lenz
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA 19104, USA;
| | - Andrew D. Marques
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104, USA; (A.D.M.); (R.A.P.M.P.); (S.R.W.); (F.D.B.)
| | - Brendan J. Kelly
- Department of Medicine, Division of Infectious Diseases, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA;
| | - Kyle G. Rodino
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA;
| | - Stephen D. Cole
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA 19104, USA;
| | - Ranawaka A. P. M. Perera
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104, USA; (A.D.M.); (R.A.P.M.P.); (S.R.W.); (F.D.B.)
| | - Susan R. Weiss
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104, USA; (A.D.M.); (R.A.P.M.P.); (S.R.W.); (F.D.B.)
| | - Frederic D. Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104, USA; (A.D.M.); (R.A.P.M.P.); (S.R.W.); (F.D.B.)
| | - Elizabeth M. Lennon
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA 19104, USA;
- Correspondence: ; Tel.: +1-(215)-573-6552
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16
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Lenz OC, Marques AD, Kelly BJ, Rodino KG, Cole SD, Perera RA, Weiss SR, Bushman FD, Lennon EM. Detection and Interspecies Comparison of SARS-CoV-2 Delta Variant (AY.3) in Feces from a Domestic Cat and Human Samples. bioRxiv 2022:2022.01.31.478506. [PMID: 35132417 PMCID: PMC8820664 DOI: 10.1101/2022.01.31.478506] [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] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have spilled over from humans to companion and wild animals since the inception of the global COVID-19 pandemic. However, whole genome sequencing data of the viral genomes that infect non-human animal species has been scant. Here, we detected and sequenced a SARS-CoV-2 delta variant (AY.3) in fecal samples from an 11-year-old domestic house cat previously exposed to an owner who tested positive for SARS-CoV-2. Molecular testing of two fecal samples collected 7 days apart yielded relatively high levels of viral RNA. Sequencing of the feline-derived viral genomes showed the two to be identical, and differing by between 4 and 14 single nucleotide polymorphisms in pairwise comparisons to human-derived lineage AY.3 sequences collected in the same geographic area and time period. However, several mutations unique to the feline samples reveal their divergence from this cohort on phylogenetic analysis. These results demonstrate continued spillover infections of emerging SARS-CoV-2 variants that threaten human and animal health, as well as highlight the importance of collecting fecal samples when testing for SARS-CoV-2 in animals. To the authors' knowledge, this is the first published case of a SARS-CoV-2 delta variant in a domestic cat in the United States.
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Affiliation(s)
- Olivia C. Lenz
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA
| | - Andrew D. Marques
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104
| | - Brendan J. Kelly
- Division of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, 731 Blockley Hall Philadelphia, PA 19104
| | - Kyle G. Rodino
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stephen D. Cole
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA
| | - Ranawaka A.P.M. Perera
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104
| | - Susan R. Weiss
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104
| | - Frederic D. Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, 3610 Hamilton Walk, Philadelphia, PA 19104
| | - Elizabeth M. Lennon
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA, USA
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17
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Ziegler MJ, Babcock HH, Welbel SF, Warren DK, Trick WE, Tolomeo P, Omorogbe J, Garcia D, Habrock-Bach T, Donceras O, Gaynes S, Cressman L, Burnham JP, Bilker W, Reddy SC, Pegues D, Lautenbach E, Kelly BJ, Fuchs B, Martin ND, Han JH. Stopping Hospital Infections With Environmental Services (SHINE): A Cluster-randomized Trial of Intensive Monitoring Methods for Terminal Room Cleaning on Rates of Multidrug-resistant Organisms in the Intensive Care Unit. Clin Infect Dis 2022; 75:1217-1223. [PMID: 35100614 PMCID: PMC9525084 DOI: 10.1093/cid/ciac070] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Multidrug-resistant organisms (MDROs) frequently contaminate hospital environments. We performed a multicenter, cluster-randomized, crossover trial of 2 methods for monitoring of terminal cleaning effectiveness. METHODS Six intensive care units (ICUs) at 3 medical centers received both interventions sequentially, in randomized order. Ten surfaces were surveyed each in 5 rooms weekly, after terminal cleaning, with adenosine triphosphate (ATP) monitoring or an ultraviolet fluorescent marker (UV/F). Results were delivered to environmental services staff in real time with failing surfaces recleaned. We measured monthly rates of MDRO infection or colonization, including methicillin-resistant Staphylococcus aureus, Clostridioides difficile, vancomycin-resistant Enterococcus, and MDR gram-negative bacilli (MDR-GNB) during a 12-month baseline period and sequential 6-month intervention periods, separated by a 2-month washout. Primary analysis compared only the randomized intervention periods, whereas secondary analysis included the baseline. RESULTS The ATP method was associated with a reduction in incidence rate of MDRO infection or colonization compared with the UV/F period (incidence rate ratio [IRR] 0.876; 95% confidence interval [CI], 0.807-0.951; P = .002). Including the baseline period, the ATP method was associated with reduced infection with MDROs (IRR 0.924; 95% CI, 0.855-0.998; P = .04), and MDR-GNB infection or colonization (IRR 0.856; 95% CI, 0.825-0.887; P < .001). The UV/F intervention was not associated with a statistically significant impact on these outcomes. Room turnaround time increased by a median of 1 minute with the ATP intervention and 4.5 minutes with UV/F compared with baseline. CONCLUSIONS Intensive monitoring of ICU terminal room cleaning with an ATP modality is associated with a reduction of MDRO infection and colonization.
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Affiliation(s)
- Matthew J Ziegler
- Correspondence: M. Ziegler, 719 Blockley Hall—423 Guardian Dr, Philadelphia, PA 19104 ()
| | - Hilary H Babcock
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Sharon F Welbel
- Cook County Health, Chicago, Illinois, USA,Rush Medical College, Chicago, Illinois, USA
| | - David K Warren
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - William E Trick
- Cook County Health, Chicago, Illinois, USA,Rush Medical College, Chicago, Illinois, USA
| | - Pam Tolomeo
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jacqueline Omorogbe
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Tracy Habrock-Bach
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | | | - Steven Gaynes
- Hospital of the University of Pennsylvania, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | - Leigh Cressman
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jason P Burnham
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Warren Bilker
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sujan C Reddy
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - David Pegues
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Department of Healthcare Epidemiology, Infection Prevention and Control, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Barry Fuchs
- Division of Pulmonary Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Niels D Martin
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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18
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Marques AD, Sherrill-Mix S, Everett J, Reddy S, Hokama P, Roche AM, Hwang Y, Glascock A, Whiteside SA, Graham-Wooten J, Khatib LA, Fitzgerald AS, Moustafa AM, Bianco C, Rajagopal S, Helton J, Deming R, Denu L, Ahmed A, Kitt E, Coffin SE, Newbern C, Mell JC, Planet PJ, Badjatia N, Richards B, Wang ZX, Cannuscio CC, Strelau KM, Jaskowiak-Barr A, Cressman L, Loughrey S, Ganguly A, Feldman MD, Collman RG, Rodino KG, Kelly BJ, Bushman FD. SARS-CoV-2 variants associated with vaccine breakthrough in the Delaware Valley through summer 2021. medRxiv 2021:2021.10.18.21264623. [PMID: 34704098 PMCID: PMC8547530 DOI: 10.1101/2021.10.18.21264623] [Citation(s) in RCA: 3] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The severe acute respiratory coronavirus-2 (SARS-CoV-2) is the cause of the global outbreak of COVID-19. Evidence suggests that the virus is evolving to allow efficient spread through the human population, including vaccinated individuals. Here we report a study of viral variants from surveillance of the Delaware Valley, including the city of Philadelphia, and variants infecting vaccinated subjects. We sequenced and analyzed complete viral genomes from 2621 surveillance samples from March 2020 to September 2021 and compared them to genome sequences from 159 vaccine breakthroughs. In the early spring of 2020, all detected variants were of the B.1 and closely related lineages. A mixture of lineages followed, notably including B.1.243 followed by B.1.1.7 (alpha), with other lineages present at lower levels. Later isolations were dominated by B.1.617.2 (delta) and other delta lineages; delta was the exclusive variant present by the last time sampled. To investigate whether any variants appeared preferentially in vaccine breakthroughs, we devised a model based on Bayesian autoregressive moving average logistic multinomial regression to allow rigorous comparison. This revealed that B.1.617.2 (delta) showed three-fold enrichment in vaccine breakthrough cases (odds ratio of 3; 95% credible interval 0.89-11). Viral point substitutions could also be associated with vaccine breakthroughs, notably the N501Y substitution found in the alpha, beta and gamma variants (odds ratio 2.04; 95% credible interval of 1.25-3.18). This study thus provides a detailed picture of viral evolution in the Delaware Valley and a geographically matched analysis of vaccine breakthroughs; it also introduces a rigorous statistical approach to interrogating enrichment of viral variants.
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Affiliation(s)
- Andrew D. Marques
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Scott Sherrill-Mix
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - John Everett
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Shantan Reddy
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Pascha Hokama
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Aoife M. Roche
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Young Hwang
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Abigail Glascock
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Samantha A. Whiteside
- Pulmonary, Allergy and Critical Care Division; Department of Medicine; University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Jevon Graham-Wooten
- Pulmonary, Allergy and Critical Care Division; Department of Medicine; University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Layla A. Khatib
- Pulmonary, Allergy and Critical Care Division; Department of Medicine; University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Ayannah S. Fitzgerald
- Pulmonary, Allergy and Critical Care Division; Department of Medicine; University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Ahmed M. Moustafa
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
- Division of Gastroenterology, Hepatology & Nutrition, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Colleen Bianco
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Swetha Rajagopal
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Jenna Helton
- Division of COVID-19 Containment, Philadelphia Department of Public Health, Philadelphia, PA
| | - Regan Deming
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Lidiya Denu
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Azad Ahmed
- Department of Microbiology & Immunology, Center for Genomic Sciences, Drexel University College of Medicine. Philadelphia, PA
| | - Eimear Kitt
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Susan E. Coffin
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Claire Newbern
- Division of COVID-19 Containment, Philadelphia Department of Public Health, Philadelphia, PA
| | - Josh Chang Mell
- Department of Microbiology & Immunology, Center for Genomic Sciences, Drexel University College of Medicine. Philadelphia, PA
| | - Paul J. Planet
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY
| | - Nitika Badjatia
- Molecular & Genomic Pathology Laboratory, Thomas Jefferson University Hospital, Philadelphia, PA
| | - Bonnie Richards
- Jefferson Occupational Health Network for Employees and Students (JOHN), Thomas Jefferson University, Philadelphia, PA
| | - Zi-Xuan Wang
- Molecular & Genomic Pathology Laboratory, Thomas Jefferson University Hospital, Philadelphia, PA
- Department of Anatomy, Pathology, and Cell Biology, Thomas Jefferson University Hospital, Philadelphia, PA
| | - Carolyn C. Cannuscio
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
- Department of Family Medicine and Community Health, University of Pennsylvania, Philadelphia, PA
| | - Katherine M. Strelau
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
- Department of Family Medicine and Community Health, University of Pennsylvania, Philadelphia, PA
| | - Anne Jaskowiak-Barr
- Division of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Leigh Cressman
- Division of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sean Loughrey
- Division of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Arupa Ganguly
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Michael D. Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ronald G. Collman
- Pulmonary, Allergy and Critical Care Division; Department of Medicine; University of Pennsylvania Perelman School of Medicine; Philadelphia, PA
| | - Kyle G. Rodino
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brendan J. Kelly
- Division of Infectious Diseases; Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Frederic D. Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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19
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Rivard EL, Ludwig AG, Patel PH, Grandchamp A, Arnold SE, Berger A, Scott EM, Kelly BJ, Mascha GC, Bornberg-Bauer E, Findlay GD. A putative de novo evolved gene required for spermatid chromatin condensation in Drosophila melanogaster. PLoS Genet 2021; 17:e1009787. [PMID: 34478447 PMCID: PMC8445463 DOI: 10.1371/journal.pgen.1009787] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 06/29/2021] [Revised: 09/16/2021] [Accepted: 08/19/2021] [Indexed: 02/07/2023] Open
Abstract
Comparative genomics has enabled the identification of genes that potentially evolved de novo from non-coding sequences. Many such genes are expressed in male reproductive tissues, but their functions remain poorly understood. To address this, we conducted a functional genetic screen of over 40 putative de novo genes with testis-enriched expression in Drosophila melanogaster and identified one gene, atlas, required for male fertility. Detailed genetic and cytological analyses showed that atlas is required for proper chromatin condensation during the final stages of spermatogenesis. Atlas protein is expressed in spermatid nuclei and facilitates the transition from histone- to protamine-based chromatin packaging. Complementary evolutionary analyses revealed the complex evolutionary history of atlas. The protein-coding portion of the gene likely arose at the base of the Drosophila genus on the X chromosome but was unlikely to be essential, as it was then lost in several independent lineages. Within the last ~15 million years, however, the gene moved to an autosome, where it fused with a conserved non-coding RNA and evolved a non-redundant role in male fertility. Altogether, this study provides insight into the integration of novel genes into biological processes, the links between genomic innovation and functional evolution, and the genetic control of a fundamental developmental process, gametogenesis.
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Affiliation(s)
- Emily L. Rivard
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Andrew G. Ludwig
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Prajal H. Patel
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | | | - Sarah E. Arnold
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | | | - Emilie M. Scott
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Brendan J. Kelly
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Grace C. Mascha
- College of the Holy Cross, Worcester, Massachusetts, United States of America
| | - Erich Bornberg-Bauer
- University of Münster, Münster, Germany
- Max Planck Institute for Developmental Biology, Tübingen, Germany
| | - Geoffrey D. Findlay
- College of the Holy Cross, Worcester, Massachusetts, United States of America
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20
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Harrigan JJ, Abdallah H, Clarke EL, Oganisian A, Roy JA, Lautenbach E, Reesey E, Wernovsky M, Tolomeo P, Morawski Z, Jacob J, Grippi MA, Kelly BJ. Respiratory microbiome disruption and risk for ventilator-associated lower respiratory tract infection. Clin Infect Dis 2021; 74:1564-1571. [PMID: 34363467 DOI: 10.1093/cid/ciab678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Ventilator-associated lower respiratory tract infection (VA-LRTI) is a common among critically ill patients and has been associated with increased morbidity and mortality. In acute critical illness, respiratory microbiome disruption indices (MDIs) have been shown to predict risk for VA-LRTI, but their utility beyond the first days of critical illness is unknown. We sought to characterize how MDIs previously shown to predict VA-LRTI at initiation of mechanical ventilation change with prolonged mechanical ventilation, and if they remain associated with VA-LRTI risk. METHODS We developed a cohort of 83 subjects admitted to a long-term acute care hospital due to their prolonged dependence on mechanical ventilation; performed dense, longitudinal sampling of the lower respiratory tract, collecting 1066 specimens; and characterized the lower respiratory microbiome by 16S rRNA sequencing as well as total bacterial abundance by 16S rRNA qPCR. RESULTS Cross-sectional MDIs, including low Shannon diversity and high total bacterial abundance, were associated with risk for VA-LRTI, but the associations had wide posterior credible intervals. Persistent lower respiratory microbiome disruption showed a more robust association with VA-LRTI risk, with each day of (base e) Shannon diversity < 2.0 associated with a VA-LRTI odds ratio of 1.36 (95% credible interval 1.10 to 1.72). The observed association was consistent across multiple clinical definitions of VA-LRTI. CONCLUSIONS Cross-sectional MDIs have limited ability to discriminate VA-LRTI risk during prolonged mechanical ventilation, but persistent lower respiratory tract microbiome disruption, best characterized by consecutive days with low Shannon diversity, may identify a population at high risk for infection and may help target infection prevention interventions.
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Affiliation(s)
- James J Harrigan
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hatem Abdallah
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erik L Clarke
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Arman Oganisian
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jason A Roy
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Ruthers University, Piscataway, NJ, USA
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily Reesey
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Magda Wernovsky
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pam Tolomeo
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zygmunt Morawski
- Good Shepherd Penn-Partners Specialty Hospital, Philadelphia, PA, USA
| | - Jerry Jacob
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Good Shepherd Penn-Partners Specialty Hospital, Philadelphia, PA, USA
| | - Michael A Grippi
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Good Shepherd Penn-Partners Specialty Hospital, Philadelphia, PA, USA
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine; , Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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21
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Abdallah H, Weingart MF, Fuller R, Pegues D, Fitzpatrick R, Kelly BJ. Subglottic suction frequency and adverse ventilator-associated events during critical illness. Infect Control Hosp Epidemiol 2021; 42:826-832. [PMID: 33423714 PMCID: PMC8272736 DOI: 10.1017/ice.2020.1298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/21/2022]
Abstract
OBJECTIVE Tracheal intubation and mechanical ventilation provide essential support for patients with respiratory failure, but the course of mechanical ventilation may be complicated by adverse ventilator-associated events (VAEs), which may or may not be associated with infection. We sought to understand how the frequency of subglottic suction, an indicator of the quantity of sputum produced by ventilated patients, relates to the onset of all VAEs and infection-associated VAEs. DESIGN We performed a case-crossover study including 87 patients with VAEs, and we evaluated 848 days in the pre-VAE period at risk for a VAE. SETTING AND PARTICIPANTS Critically ill patients were recruited from the medical intensive care unit of an academic medical center. METHODS We used the number of as-needed subglottic suctioning events performed per calendar day to quantify sputum production, and we compared the immediate pre-VAE period to the preceding period. We used CDC surveillance definitions for VAE and to categorize whether events were infection associated or not. RESULTS Sputum quantity measured by subglottic suction frequency is greater in the period immediately prior to VAE than in the preceding period. However, it does not discriminate well between infection-associated VAEs and VAEs without associated infection. CONCLUSIONS Subglottic suction frequency may serve as a valuable marker of sputum quantity, and it is associated with risk of a VAE. However, our results require validation in a broader population of mechanically ventilated patients and intensive care settings.
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Affiliation(s)
- Hatem Abdallah
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Risa Fuller
- Division of Infectious Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - David Pegues
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rebecca Fitzpatrick
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brendan J. Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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22
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Richard-Greenblatt M, Ziegler MJ, Bromberg V, Huang E, Abdallah H, Tolomeo P, Lautenbach E, Glaser L, Kelly BJ. Quantifying the Impact of Nasopharyngeal Specimen Quality on Severe Acute Respiratory Syndrome Coronavirus 2 Test Performance. Open Forum Infect Dis 2021; 8:ofab235. [PMID: 34095340 PMCID: PMC8136075 DOI: 10.1093/ofid/ofab235] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 02/23/2021] [Accepted: 05/05/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse-transcription polymerase chain reaction (RT-PCR) cycle threshold (Ct) has been used to estimate quantitative viral load, with the goal of targeting isolation precautions for individuals with coronavirus disease 2019 (COVID-19) and guiding public health interventions. However, variability in specimen quality can alter the Ct values obtained from SARS-CoV-2 clinical assays. We sought to define how variable nasopharyngeal (NP) swab quality impacts clinical SARS-CoV-2 test sensitivity. METHODS We performed amplification of a human gene target (β-actin) in parallel with a clinical RT-PCR targeting the SARS-CoV-2 ORF1ab gene for 1282 NP specimens collected from patients with clinical concern for COVID-19. We evaluated the relationship between NP specimen quality, characterized by late Ct values for the human gene target β-actin Ct, and the probability of SARS-CoV-2 detection via logistic regression, as well as the linear relationship between SARS-CoV-2 and β-actin Ct. RESULTS Low-quality NP swabs are less likely to detect SARS-CoV-2 (odds ratio, 0.607 [95% credible interval {CrI}, .487-.753]). We observed a positive linear relationship between SARS-CoV-2 and β-actin Ct values (slope, 0.181 [95% CrI, .097-.264]), consistent with a reduction in detection of 0.181 cycles for each additional cycle of the β-actin target. COVID-19 disease severity was not associated with β-actin Ct values. CONCLUSIONS Variability in NP specimen quality significantly impacts the performance of clinical SARS-CoV-2 assays, and caution should be taken when interpreting quantitative SARS-CoV-2 Ct results. If unrecognized, low-quality NP specimens, which are characterized by a low level of amplifiable human DNA target, may limit the successful application of SARS-CoV-2 Ct values to direct infection control and public health interventions.
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Affiliation(s)
- Melissa Richard-Greenblatt
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Matthew J Ziegler
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Valerie Bromberg
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Elizabeth Huang
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Hatem Abdallah
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Pam Tolomeo
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Laurel Glaser
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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23
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Rhee RL, Lu J, Bittinger K, Lee JJ, Mattei LM, Sreih AG, Chou S, Miner JJ, Cohen NA, Kelly BJ, Lee H, Grayson PC, Collman RG, Merkel PA. Dynamic Changes in the Nasal Microbiome Associated With Disease Activity in Patients With Granulomatosis With Polyangiitis. Arthritis Rheumatol 2021; 73:1703-1712. [PMID: 33682371 DOI: 10.1002/art.41723] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 03/02/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Little is known about temporal changes in nasal bacteria in granulomatosis with polyangiitis (GPA). This study was undertaken to examine longitudinal changes in the nasal microbiome in association with relapse in GPA patients. METHODS Bacterial 16S ribosomal RNA gene sequencing was performed on nasal swabs from 19 patients with GPA who were followed up longitudinally for a total of 78 visits, including 9 patients who experienced a relapse and 10 patients who remained in remission. Relative abundance of bacteria and ratios between bacteria were examined. Generalized estimating equation models were used to evaluate the association between bacterial composition and 1) disease activity and 2) levels of antineutrophil cytoplasmic antibody (ANCA) with specificity for proteinase 3 (PR3), adjusted for medication. RESULTS Corynebacterium and Staphylococcus were the most abundant bacterial genera across all nasal samples. Patients with quiescent disease maintained a stable ratio of Corynebacterium to Staphylococcus across visits. In contrast, in patients who experienced a relapse, a significantly lower ratio was observed at the visit prior to relapse, followed by a higher ratio at the time of relapse (adjusted P < 0.01). Species-level analysis identified an association between a higher abundance of nasal Corynebacterium tuberculostearicum and 1) relapse (adjusted P = 0.04) and 2) higher PR3-ANCA levels (adjusted P = 0.02). CONCLUSION In GPA, significant changes occur in the nasal microbiome over time and are associated with disease activity. The occurrence of these changes months prior to the onset of relapse supports a pathogenic role of nasal bacteria in GPA. Our results uphold existing hypotheses implicating Staphylococcus as an instigator of disease and have generated a novel finding involving Corynebacterium as a potential mediator of disease in GPA.
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Affiliation(s)
| | - Jiarui Lu
- University of Pennsylvania, Philadelphia
| | - Kyle Bittinger
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jung-Jin Lee
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Lisa M Mattei
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | | | | | | | | | | | - Peter C Grayson
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, Maryland
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24
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Marques AD, Sherrill-Mix S, Everett JK, Reddy S, Hokama P, Roche AM, Hwang Y, Glascock A, Whiteside SA, Graham-Wooten J, Khatib LA, Fitzgerald AS, Moustafa AM, Bianco C, Rajagopal S, Helton J, Deming R, Denu L, Ahmed A, Kitt E, Coffin SE, Newbern C, Mell JC, Planet PJ, Badjatia N, Richards B, Wang ZX, Cannuscio CC, Strelau KM, Jaskowiak-Barr A, Cressman L, Loughrey S, Ganguly A, Feldman MD, Collman RG, Rodino KG, Kelly BJ, Bushman FD. SARS-CoV-2 Variants Associated with Vaccine Breakthrough in the Delaware Valley through Summer 2021. mBio 2021; 13:e0378821. [PMID: 35130727 PMCID: PMC8942461 DOI: 10.1128/mbio.03788-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 12/21/2021] [Accepted: 01/12/2022] [Indexed: 12/29/2022] Open
Abstract
The severe acute respiratory coronavirus-2 (SARS-CoV-2) is the cause of the global outbreak of COVID-19. Evidence suggests that the virus is evolving to allow efficient spread through the human population, including vaccinated individuals. Here, we report a study of viral variants from surveillance of the Delaware Valley, including the city of Philadelphia, and variants infecting vaccinated subjects. We sequenced and analyzed complete viral genomes from 2621 surveillance samples from March 2020 to September 2021 and compared them to genome sequences from 159 vaccine breakthroughs. In the early spring of 2020, all detected variants were of the B.1 and closely related lineages. A mixture of lineages followed, notably including B.1.243 followed by B.1.1.7 (alpha), with other lineages present at lower levels. Later isolations were dominated by B.1.617.2 (delta) and other delta lineages; delta was the exclusive variant present by the last time sampled. To investigate whether any variants appeared preferentially in vaccine breakthroughs, we devised a model based on Bayesian autoregressive moving average logistic multinomial regression to allow rigorous comparison. This revealed that B.1.617.2 (delta) showed 3-fold enrichment in vaccine breakthrough cases (odds ratio of 3; 95% credible interval 0.89-11). Viral point substitutions could also be associated with vaccine breakthroughs, notably the N501Y substitution found in the alpha, beta and gamma variants (odds ratio 2.04; 95% credible interval of1.25-3.18). This study thus overviews viral evolution and vaccine breakthroughs in the Delaware Valley and introduces a rigorous statistical approach to interrogating enrichment of breakthrough variants against a changing background. IMPORTANCE SARS-CoV-2 vaccination is highly effective at reducing viral infection, hospitalization and death. However, vaccine breakthrough infections have been widely observed, raising the question of whether particular viral variants or viral mutations are associated with breakthrough. Here, we report analysis of 2621 surveillance isolates from people diagnosed with COVID-19 in the Delaware Valley in southeastern Pennsylvania, allowing rigorous comparison to 159 vaccine breakthrough case specimens. Our best estimate is a 3-fold enrichment for some lineages of delta among breakthroughs, and enrichment of a notable spike substitution, N501Y. We introduce statistical methods that should be widely useful for evaluating vaccine breakthroughs and other viral phenotypes.
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Affiliation(s)
- Andrew D. Marques
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott Sherrill-Mix
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - John K. Everett
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shantan Reddy
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Pascha Hokama
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Aoife M. Roche
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Young Hwang
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Abigail Glascock
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Samantha A. Whiteside
- Pulmonary, Allergy and Critical Care Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jevon Graham-Wooten
- Pulmonary, Allergy and Critical Care Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Layla A. Khatib
- Pulmonary, Allergy and Critical Care Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ayannah S. Fitzgerald
- Pulmonary, Allergy and Critical Care Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ahmed M. Moustafa
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Gastroenterology, Hepatology & Nutrition, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Colleen Bianco
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Swetha Rajagopal
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jenna Helton
- Division of COVID-19 Containment, Philadelphia Department of Public Health, Philadelphia, Pennsylvania, USA
| | - Regan Deming
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lidiya Denu
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Azad Ahmed
- Department of Microbiology & Immunology, Center for Genomic Sciences, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Eimear Kitt
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Susan E. Coffin
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Claire Newbern
- Division of COVID-19 Containment, Philadelphia Department of Public Health, Philadelphia, Pennsylvania, USA
| | - Josh Chang Mell
- Department of Microbiology & Immunology, Center for Genomic Sciences, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - Paul J. Planet
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, New York, USA
| | - Nitika Badjatia
- Molecular & Genomic Pathology Laboratory, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Bonnie Richards
- Jefferson Occupational Health Network for Employees and Students (JOHN), Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Zi-Xuan Wang
- Molecular & Genomic Pathology Laboratory, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
- Department of Anatomy, Pathology, and Cell Biology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Carolyn C. Cannuscio
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Family Medicine and Community Health, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Katherine M. Strelau
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Family Medicine and Community Health, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Anne Jaskowiak-Barr
- Division of Infectious Diseases, Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leigh Cressman
- Division of Infectious Diseases, Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sean Loughrey
- Division of Infectious Diseases, Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Arupa Ganguly
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael D. Feldman
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronald G. Collman
- Pulmonary, Allergy and Critical Care Division, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kyle G. Rodino
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brendan J. Kelly
- Division of Infectious Diseases, Department of Medicine & Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Frederic D. Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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25
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Richard-Greenblatt M, Ziegler MJ, Bromberg V, Huang E, Abdallah H, Tolomeo P, Lautenbach E, Glaser L, Kelly BJ. Impact of Nasopharyngeal Specimen Quality on SARS-CoV-2 Test Sensitivity. medRxiv 2020:2020.12.09.20246520. [PMID: 33330893 PMCID: PMC7743104 DOI: 10.1101/2020.12.09.20246520] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND The SARS-CoV-2 reverse-transcription polymerase chain reaction (RT-PCR) cycle of threshold (Ct) has been used to estimate quantitative viral load, with the goal of targeting isolation precautions for individuals with COVID-19 and guiding public health interventions. However, variability in specimen quality can alter the Ct values obtained from SARS-CoV-2 clinical assays. We sought to define how variable nasopharyngeal (NP) swab quality impacts clinical SARS-CoV-2 test sensitivity. METHODS We performed amplification of a human gene target (β-actin) in parallel with a clinical RT-PCR targeting the SARS-CoV-2 ORF1ab gene for 1311 NP specimens collected from patients with clinical concern for COVID-19. We evaluated the relationship between NP specimen quality, characterized by high Ct values for the human gene target β-actin Ct, and the probability of SARS-CoV-2 detection via logistic regression, as well as the linear relationship between SARS-CoV-2 and β-actin Ct. RESULTS Low quality NP swabs are less likely to detect SARS-CoV-2 (odds ratio 0.654, 95%CI 0.523 to 0.802). We observed a positive linear relationship between SARS-CoV-2 and β-actin Ct values (slope 0.169, 95%CI 0.092 to 0.247). COVID-19 disease severity was not associated with β-actin Ct values. CONCLUSIONS Variability in NP specimen quality accounts for significant differences in the sensitivity of clinical SARS-CoV-2 assays. If unrecognized, low quality NP specimens, which are characterized by a low level of amplifiable human DNA target, may limit the application of SARS-CoV-2 Ct values to direct infection control and public health interventions.
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Affiliation(s)
| | - Matthew J. Ziegler
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Valerie Bromberg
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Elizabeth Huang
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Hatem Abdallah
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Pam Tolomeo
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Laurel Glaser
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brendan J. Kelly
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania, Philadelphia, PA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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26
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Grigsby A, Kelly BJ, Sanscrainte ND, Becnel JJ, Short SM. Propagation of the Microsporidian Parasite Edhazardia aedis in Aedes aegypti Mosquitoes. J Vis Exp 2020. [PMID: 32865535 DOI: 10.3791/61574] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Edhazardia aedis is a microsporidian parasite of Aedes aegypti mosquitoes, a disease vector that transmits multiple arboviruses which cause millions of disease cases each year. E. aedis causes mortality and reduced reproductive fitness in the mosquito vector and has been explored for its potential as a biocontrol agent. The protocol we present for culturing E. aedis is based on its natural infection cycle, which involves both horizontal and vertical transmission at different life stages of the mosquito host. Ae. aegypti mosquitoes are exposed to spores in the larval stage. These infected larvae then mature into adults and transmit the parasite vertically to their offspring. Infected offspring are then used as a source of spores for future horizontal transmission. Culturing E. aedis can be challenging to the uninitiated given the complexities of the parasite's life cycle, and this protocol provides detailed guidance and visual aids for clarification.
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Affiliation(s)
| | | | | | - James J Becnel
- USDA/ARS Center for Medical, Agricultural, and Veterinary Entomology
| | - Sarah M Short
- Department of Entomology, The Ohio State University;
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27
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Redding LE, Kelly BJ, Stefanovski D, Lautenbach JK, Tolomeo P, Cressman L, Gruber E, Meily P, Lautenbach E. Pet Ownership Protects Against Recurrence of Clostridioides difficile Infection. Open Forum Infect Dis 2020; 7:ofz541. [PMID: 31976354 PMCID: PMC6969483 DOI: 10.1093/ofid/ofz541] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 11/13/2019] [Accepted: 01/01/2020] [Indexed: 12/13/2022] Open
Abstract
Background Clostridioides difficile infection (CDI) is the leading cause of antibiotic-associated and health care–associated diarrhea in humans. Recurrent CDI (R-CDI) occurs in ~20%–30% of patients with CDI and results in increased morbidity, mortality, and hospital costs. Genomic analyses have shown overlap of C. difficile isolates from animals and people, suggesting that a zoonotic reservoir may contribute to recurrence. The objective of this study was to determine whether pet ownership is a risk factor for recurrence of CDI. Methods We conducted a case–control study among patients with recurrent CDI (cases; n = 86) and patients with nonrecurrent CDI (controls; n = 146). Multivariable logistic regression modeling was used to determine the association between recurrence of CDI and pet ownership while accounting for patient-level risk factors. Results Pet ownership was not significantly associated with recurrence of CDI (odds ratio [OR], 1.02; 95% confidence interval [CI], 0.38–2.72; P = 0.965) among all patients (n = 232). However, among the subset of patients with community-associated or community-onset health care facility–acquired CDI (n = 127), increasing contact with pets was increasingly protective against recurrence: for every point increase in a pet contact score (out of 7 possible points), the odds of recurrence decreased by 14% (OR, 0.86; 95% CI, 0.74–1.00; P = 0.051). Conclusions Close interactions with pets appear protective against the recurrence of community-acquired CDI. A potential mechanism may involve beneficial contributions to the microbiota of pet owners afflicted with CDI, as has been observed for other conditions such as atopy, obesity, and food allergies. However, more research is needed to understand the interactions between pets, owners, and their microbiota.
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Affiliation(s)
- Laurel E Redding
- Department of Clinical Sciences, School of Veterinary Medicine, University of Pennsylvania, Pennsylvania, USA
| | - Brendan J Kelly
- Divisions of Infectious Diseases and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Darko Stefanovski
- Department of Clinical Sciences, School of Veterinary Medicine, University of Pennsylvania, Pennsylvania, USA
| | | | - Pam Tolomeo
- Divisions of Infectious Diseases and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Leigh Cressman
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Eli Gruber
- University of Pennsylvania School of Arts and Sciences, Philadelphia, Pennsylvania, USA
| | - Paige Meily
- University of Pennsylvania School of Arts and Sciences, Philadelphia, Pennsylvania, USA
| | - Ebbing Lautenbach
- Divisions of Infectious Diseases and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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28
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Berry ASF, Kelly BJ, Barnhart D, Kelly DJ, Beiting DP, Baldassano RN, Redding LE. Gut microbiota features associated with Clostridioides difficile colonization in puppies. PLoS One 2019; 14:e0215497. [PMID: 31469837 PMCID: PMC6716646 DOI: 10.1371/journal.pone.0215497] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 04/01/2019] [Accepted: 08/05/2019] [Indexed: 02/06/2023] Open
Abstract
In people, colonization with Clostridioides difficile, the leading cause of antibiotic-associated diarrhea, has been shown to be associated with distinct gut microbial features, including reduced bacterial community diversity and depletion of key taxa. In dogs, the gut microbiota features that define C. difficile colonization are less well understood. We sought to define the gut microbiota features associated with C. difficile colonization in puppies, a population where the prevalence of C. difficile has been shown to be elevated, and to define the effect of puppy age and litter upon these features and C. difficile risk. We collected fecal samples from weaned (n = 27) and unweaned (n = 74) puppies from 13 litters and analyzed the effects of colonization status, age and litter on microbial diversity using linear mixed effects models. Colonization with C. difficile was significantly associated with younger age, and colonized puppies had significantly decreased bacterial community diversity and differentially abundant taxa compared to non-colonized puppies, even when adjusting for age. C. difficile colonization remained associated with decreased bacterial community diversity, but the association did not reach statistical significance in a mixed effects model incorporating litter as a random effect. Even though litter explained a greater proportion (67%) of the variability in microbial diversity than colonization status, we nevertheless observed heterogeneity in gut microbial community diversity and colonization status within more than half of the litters, suggesting that the gut microbiota contributes to colonization resistance against C. difficile. The colonization of puppies with C. difficile has important implications for the potential zoonotic transfer of this organism to people. The identified associations point to mechanisms by which C. difficile colonization may be reduced.
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Affiliation(s)
- Alexander S. F. Berry
- Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Brendan J. Kelly
- Divisions of Infectious Diseases and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Denise Barnhart
- Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, Kennett Square, Pennsylvania, United States of America
| | - Donna J. Kelly
- Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, Kennett Square, Pennsylvania, United States of America
| | - Daniel P. Beiting
- Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Robert N. Baldassano
- Division of Gastroenterology, Hepatology, and Nutrition, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Laurel E. Redding
- Department of Clinical Sciences, University of Pennsylvania, School of Veterinary Medicine, Kennett Square, Pennsylvania, United States of America
- * E-mail:
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29
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Ziegler M, Han JH, Landsburg D, Pegues D, Reesey E, Gilmar C, Gorman T, Bink K, Moore A, Kelly BJ. Impact of Levofloxacin for the Prophylaxis of Bloodstream Infection on the Gut Microbiome in Patients With Hematologic Malignancy. Open Forum Infect Dis 2019; 6:ofz252. [PMID: 31281857 PMCID: PMC6602896 DOI: 10.1093/ofid/ofz252] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [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: 03/28/2019] [Accepted: 05/29/2019] [Indexed: 12/13/2022] Open
Abstract
Background We evaluated the differential impact of levofloxacin administered for the prophylaxis of bloodstream infections compared with broad-spectrum beta-lactam (BSBL) antibiotics used for the treatment of neutropenic fever on the gut microbiome in patients with hematologic malignancy. Methods Stool specimens were collected from patients admitted for chemotherapy or stem cell transplant in the setting of the evaluation of diarrhea from February 2017 until November 2017. Microbiome characteristics were compared among those exposed to levofloxacin prophylaxis vs those who received BSBL antibiotics. Results Sixty patients were included, most with acute myeloid leukemia (42%) or multiple myeloma (37%). The gut microbiome of patients with BSBL exposure had significantly reduced Shannon's alpha diversity compared with those without (median [interquartile range {IQR}], 3.28 [1.73 to 3.71] vs 3.73 [3.14 to 4.31]; P = .01). However, those with levofloxacin exposure had increased alpha diversity compared with those without (median [IQR], 3.83 [3.32 to 4.36] vs 3.32 [2.35 to 4.02]; P = .03). Levofloxacin exposure was also associated with a trend toward lower risk of dominance of non-Bacteroidetes genera compared with those without levofloxacin exposure (3 [14%] vs 15 [38%]; P = .051). Conclusions The impact of antibiotics on the gut microbiome varies by class, and levofloxacin may disrupt the gut microbiome less than BSBLs in this patient population.
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Affiliation(s)
- Matthew Ziegler
- Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jennifer H Han
- Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Healthcare Epidemiology, Infection Prevention and Control, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel Landsburg
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Pegues
- Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Healthcare Epidemiology, Infection Prevention and Control, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Emily Reesey
- Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Cheryl Gilmar
- Department of Healthcare Epidemiology, Infection Prevention and Control, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Theresa Gorman
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kristen Bink
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Amy Moore
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan J Kelly
- Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania.,Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
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30
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Ziegler M, Han JH, Landsburg D, Pegues D, Reesey E, Gilmar C, Gorman T, Bink K, Moore A, Kelly BJ. 1595. Impact of Levofloxacin for the Prophylaxis of Bloodstream Infection on the Gut Microbiome in Patients with Hematologic Malignancy. Open Forum Infect Dis 2018. [PMCID: PMC6254734 DOI: 10.1093/ofid/ofy210.1423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Background Prophylactic antibiotics for the prevention of bloodstream infections (BSIs) during neutropenia (NTP) may reduce the incidence of BSIs, NTP fever, and mortality. However, antibiotics may also result in dysbiosis of the gut microbiome. We aimed to study the impact of levofloxacin prophylaxis compared with broad-spectrum β-lactam (BSBL) antibiotics used for the treatment of NTP fever on gut microbiome features in patients with hematologic malignancy. Methods Stool specimens from hematologic malignancy patients admitted for chemotherapy or stem cell transplant (SCT) in the setting of the evaluation of diarrhea were collected from September 2017 to November 2017. Levofloxacin prophylaxis was standard of care for patients undergoing autologous SCT or induction chemotherapy for acute myeloid leukemia (AML). 16S rRNA (V1–V2 amplicon) sequencing was performed using the Illumina HiSeq platform, formation of operational taxonomic units (OTUs) was performed using QIIME 1.9.1, and taxonomic assignment was performed via the GreenGenes database (13.8). Descriptive statistics were used to compare microbiome features. Results A total of 57 samples from 44 patients were included, most with AML (42%), multiple myeloma (33%), or non-Hodgkin’s lymphoma (12%). In the 7 days prior to sample collection, 28 (49%) patients received a BSBL and 17 (29%) received levofloxacin. The gut microbiome of patients with BSBL exposure had significantly reduced Shannon alpha diversity compared with those without: median 1.96 (IQR 1.08–2.57) vs. 2.58 (IQR 2.05–2.93); P < 0.01. However, those with and without levofloxacin exposure showed no difference: median 2.37 (IQR 2.19–2.75) vs. 2.22 (IQR 1.71–2.81), respectively; P = 0.48. Additionally, those with BSBL exposure trended toward increased dominance with non-Bacteroidetes taxa: 14 (60%) vs. 14 (41%); P = 0.14. In contrast, levofloxacin exposure was associated with a lower risk of dominance: 2 (8%) vs. 15 (55%); P < 0.01 and was associated with a greater proportion of Bacteroidetes taxa: 75% vs. 27% (P < 0.01). Conclusion Our findings suggest that the impact of antibiotics on the gut microbiome vary by class, and that levofloxacin may have limited impact on the gut microbiome in this patient population. Further studies are needed to investigate this potential differential impact of antibiotic classes. Disclosures D. Pegues, DaVita / Total Renal Care: Consultant, Consulting fee.
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Affiliation(s)
- Matthew Ziegler
- Division of Infectious Diseases, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jennifer H Han
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel Landsburg
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Pegues
- Healthcare Epidemiology, Infection Prevention and Control, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Emily Reesey
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - Cheryl Gilmar
- Infection Prevention and Control, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Theresa Gorman
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kristen Bink
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Amy Moore
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan J Kelly
- Division of Infectious Diseases, Dept. of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
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31
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Clarke E, Reesey E, Lautenbach E, Wernovsky M, Kelly BJ. 614. Modeling Changes in Gastrointestinal and Respiratory Tract Bacterial Community Diversity Attributable to Common Antibiotic Exposures During Long-Term Acute Care. Open Forum Infect Dis 2018. [PMCID: PMC6253649 DOI: 10.1093/ofid/ofy210.621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Background Reduced gastrointestinal tract bacterial community diversity has been associated with increased risk for healthcare-associated infections, including Clostridium difficile infection. We sought to develop a model for concomitant change in bacterial community diversity at gastrointestinal and respiratory tract sites, drawing upon a recently completed cohort study of 92 subjects recruited from a long-term acute care hospital (LTACH) for dense longitudinal oral, endotracheal aspirate (ET), and stool specimen collection. Methods We evaluated the first 30 subjects enrolled from the LTACH cohort, for whom complete antibiotic administration data and 16S rRNA gene (V1–V2 amplicon) sequencing data were available. Sequencing was performed via the Illumina HiSeq platform; operational taxonomic units (OTUs) were formed and taxonomy assigned (GreenGenes 13.8) via the QIIME 1.9.1 pipeline. Generalized linear mixed effects models were fit using R (3.5.0), Stan (2.1.7), via the “rstan” and “rethinking” packages. Results We evaluated 472 subject-days of study enrollment across the 30 subjects (median 15 days/subject). ET specimens were available for all subject-days; oral and stool for 357 and 177 subject-days, respectively. We modeled daily change in Shannon diversity across oral, ET, and stool specimens, parameterized with daily exposure to cefepime, piperacillin–tazobactam, meropenem, IV vancomycin, and oral vancomycin. All parameters fit with Rhat value lower than 1.1. Absent antibiotic exposure on the previous day, the daily change in Shannon diversity at all sites was near zero. The largest observed effect was oral vancomycin on stool (daily delta Shannon: −0.6, 95% CI: −1.38 to 0.09). All estimated effects for intravenous antibiotics on the stool, and for all antibiotics at other sites were smaller. Conclusion Small daily changes in bacterial community diversity were attributable to individual antibiotics, but all 95% certainty intervals crossed zero in this pilot study. Further work will focus on modeling specific taxonomic changes attributable to individual antibiotics and antibiotic interactions. Disclosures All authors: No reported disclosures.
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Affiliation(s)
- Erik Clarke
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Emily Reesey
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Magda Wernovsky
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
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Weingart MF, Vecker R, Fitzpatrick R, Lautenbach E, Pegues DA, Kelly BJ. 2105. Electronic Records of Daily Subglottic Suctioning Predict Infectious and Non-infectious Adverse Ventilator-Associated Events During Critical Care. Open Forum Infect Dis 2018. [PMCID: PMC6253258 DOI: 10.1093/ofid/ofy210.1761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background Mechanical ventilation is a life-sustaining therapy for critically ill patients, but is associated with increased hospital costs and risk for significant complications with poor outcomes. Adverse ventilator-associated events (VAEs) can be broadly divided into infectious (infectious ventilator-associated complication (IVAC) or ventilator-associated pneumonia (VAP)) and non-infectious (ventilator-associated complication (VAC)) types. We sought to identify factors that predict both types, and factors that discriminate risk for infectious vs. noninfectious VAE, using electronic medical record (EMR) data available prior to index event. Methods We evaluated 90 consecutive adverse VAEs in the medical intensive care unit of an academic medical center (January 1, 2013–June 30, 2016) to determine prior patient and care factors that discriminate risk for incident VAE. VAE were defined by surveillance criteria from the CDC. Patient and care data were extracted via the EMR. Results A generalized linear mixed effects model found an increase of 1.1 (95% CI 0.53–1.7) subglottic suction events per day (SS/day) on the day before VAE diagnosis, relative to the 4 prior days. Of the 90 VAE included in the study, 41 were infectious (IVAC or VAP), and 49 were labeled ventilator-associated condition (VAC). In the IVAC/VAP group, mean SS/day was 8.0 on the day of VAE diagnosis, 7.5 one day prior, and 6.2 two days prior, compared with 6.6, 6.4, and 5.5 SS/day in the VAC group. Change in antibiotic prescription (87.8% (36) of patients in the IVAC/VAP group vs. 46.9% (23) in the VAC group) (P = 0.023) and acute liver injury (mean AST and ALT 52.9 and 43.6 3 days before IVAC/VAP vs. 1,035.4 and 523.9 before VAC) also differed between the groups (P = 0.0095 and 0.0025). Conclusion Increased daily subglottic suctioning predicts both non-infectious and infectious VAE, but the observed increase is greater prior to IVAC/VAP. Change in antibiotic prescription and acute liver injury also discriminated IVAC/VAP from non-infectious VAE in this small cohort. Disclosures All authors: No reported disclosures.
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Affiliation(s)
- Melanie F Weingart
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Risa Vecker
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rebecca Fitzpatrick
- Infection Control, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - David A Pegues
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
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Kelly BJ, Tebas P. Clinical Practice and Infrastructure Review of Fecal Microbiota Transplantation for Clostridium difficile Infection. Chest 2017; 153:266-277. [PMID: 28923757 DOI: 10.1016/j.chest.2017.09.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [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: 11/09/2016] [Revised: 08/31/2017] [Accepted: 09/05/2017] [Indexed: 12/14/2022] Open
Abstract
A substantial proportion of Clostridium difficile infection (CDI) cases recur after completion of antibiotic therapy, and antibiotic cure rates diminish with each recurrence of CDI. Fecal microbiota transplantation (FMT) is an effective therapy for recurrent FMT, which otherwise requires prolonged or indefinite antibiotic treatment. FMT is performed by introducing the fecal microbial community obtained from a healthy donor or pool of donors into the stomach, small intestine, or colon of a patient with CDI. Multiple clinical trials support the usefulness of FMT in treating recurrent CDI, and CDI treatment guidelines now include consideration of FMT at the third CDI recurrence. However, there remain challenges to incorporating FMT into clinical practice. First, methods of fecal bacterial community processing vary, as do methods of FMT administration. Second, the optimal dosing strategy and expected benefit of FMT for refractory CDI, particularly for severe and severe complicated cases, are uncertain. Third, the US Food and Drug Administration (FDA) considers FMT an investigational treatment. Fourth, insurance reimbursement for FMT usually falls short of FMT administration costs. In the setting of rising C difficile incidence and growing evidence for FMT efficacy, the demand for FMT has increased. However, uncertainty surrounding optimal FMT preparation and administration methods, FDA oversight, and insurance reimbursement presently limits the clinical practice of FMT.
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Affiliation(s)
- Brendan J Kelly
- Division of Infectious Diseases and Fecal Microbiota Transplantation Program, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
| | - Pablo Tebas
- Division of Infectious Diseases and Fecal Microbiota Transplantation Program, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Kelly BJ, Imai I, Bittinger K, Laughlin A, Fuchs BD, Bushman FD, Collman RG. Composition and dynamics of the respiratory tract microbiome in intubated patients. Microbiome 2016; 4:7. [PMID: 26865050 PMCID: PMC4750361 DOI: 10.1186/s40168-016-0151-8] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Accepted: 01/26/2016] [Indexed: 05/11/2023]
Abstract
BACKGROUND Lower respiratory tract infection (LRTI) is a major contributor to respiratory failure requiring intubation and mechanical ventilation. LRTI also occurs during mechanical ventilation, increasing the morbidity and mortality of intubated patients. We sought to understand the dynamics of respiratory tract microbiota following intubation and the relationship between microbial community structure and infection. RESULTS We enrolled a cohort of 15 subjects with respiratory failure requiring intubation and mechanical ventilation from the medical intensive care unit at an academic medical center. Oropharyngeal (OP) and deep endotracheal (ET) secretions were sampled within 24 h of intubation and every 48-72 h thereafter. Bacterial community profiling was carried out by purifying DNA, PCR amplification of 16S ribosomal RNA (rRNA) gene sequences, deep sequencing, and bioinformatic community analysis. We compared enrolled subjects to a cohort of healthy subjects who had lower respiratory tract sampling by bronchoscopy. In contrast to the diverse upper respiratory tract and lower respiratory tract microbiota found in healthy controls, critically ill subjects had lower initial diversity at both sites. Diversity further diminished over time on the ventilator. In several subjects, the bacterial community was dominated by a single taxon over multiple time points. The clinical diagnosis of LRTI ascertained by chart review correlated with low community diversity and dominance of a single taxon. Dominant taxa matched clinical bacterial cultures where cultures were obtained and positive. In several cases, dominant taxa included bacteria not detected by culture, including Ureaplasma parvum and Enterococcus faecalis. CONCLUSIONS Longitudinal analysis of respiratory tract microbiota in critically ill patients provides insight into the pathogenesis and diagnosis of LRTI. 16S rRNA gene sequencing of endotracheal aspirate samples holds promise for expanded pathogen identification.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Bronchoscopy
- Case-Control Studies
- Critical Illness
- DNA, Bacterial/genetics
- Female
- Genetic Variation
- Humans
- Intensive Care Units
- Intubation, Intratracheal
- Longitudinal Studies
- Male
- Microbiota/genetics
- Middle Aged
- Oropharynx/microbiology
- Pneumonia, Ventilator-Associated/diagnosis
- Pneumonia, Ventilator-Associated/microbiology
- Pneumonia, Ventilator-Associated/pathology
- RNA, Ribosomal, 16S/genetics
- Respiration, Artificial
- Respiratory Tract Infections/diagnosis
- Respiratory Tract Infections/microbiology
- Respiratory Tract Infections/pathology
- Sequence Analysis, RNA
- Trachea/microbiology
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Affiliation(s)
- Brendan J Kelly
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Ize Imai
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Kyle Bittinger
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Alice Laughlin
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Barry D Fuchs
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Frederic D Bushman
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Ronald G Collman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Kelly BJ, Lautenbach E, Nachamkin I, Coffin SE, Gerber JS, Fuchs BD, Garrigan C, Han X, Bilker WB, Wise J, Tolomeo P, Han JH. Combined biomarkers discriminate a low likelihood of bacterial infection among surgical intensive care unit patients with suspected sepsis. Diagn Microbiol Infect Dis 2016; 85:109-15. [PMID: 26971636 DOI: 10.1016/j.diagmicrobio.2016.01.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 12/30/2015] [Accepted: 01/06/2016] [Indexed: 01/11/2023]
Abstract
Among surgical intensive care unit (SICU) patients, it is difficult to distinguish bacterial sepsis from other causes of systemic inflammatory response syndrome (SIRS). Biomarkers have proven useful to identify the presence of bacterial infection. We enrolled a prospective cohort of 69 SICU patients with suspected sepsis and assayed the concentrations of 9 biomarkers (α-2 macroglobulin [A2M], C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin [PCT], serum amyloid A, serum amyloid P, and tissue plasminogen activator) at baseline, 24, 48, and 72hours. Forty-two patients (61%) had bacterial sepsis by chart review. A2M concentrations were significantly lower, and PCT concentrations were significantly higher in subjects with bacterial sepsis at 3 of 4 time points. Using optimal cutoff values, the combination of baseline A2M and 72-hour PCT achieved a negative predictive value of 75% (95% confidence interval, 54-96%). The combination of A2M and PCT discriminated bacterial sepsis from other SIRS among SICU patients with suspected sepsis.
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Affiliation(s)
- Brendan J Kelly
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Irving Nachamkin
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan E Coffin
- Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffrey S Gerber
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Barry D Fuchs
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles Garrigan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaoyan Han
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Warren B Bilker
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacqueleen Wise
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pam Tolomeo
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer H Han
- Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Kelly BJ, Gross R, Bittinger K, Sherrill-Mix S, Lewis JD, Collman RG, Bushman FD, Li H. Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA. Bioinformatics 2015; 31:2461-8. [PMID: 25819674 DOI: 10.1093/bioinformatics/btv183] [Citation(s) in RCA: 247] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 03/24/2015] [Indexed: 11/13/2022] Open
Abstract
MOTIVATION The variation in community composition between microbiome samples, termed beta diversity, can be measured by pairwise distance based on either presence-absence or quantitative species abundance data. PERMANOVA, a permutation-based extension of multivariate analysis of variance to a matrix of pairwise distances, partitions within-group and between-group distances to permit assessment of the effect of an exposure or intervention (grouping factor) upon the sampled microbiome. Within-group distance and exposure/intervention effect size must be accurately modeled to estimate statistical power for a microbiome study that will be analyzed with pairwise distances and PERMANOVA. RESULTS We present a framework for PERMANOVA power estimation tailored to marker-gene microbiome studies that will be analyzed by pairwise distances, which includes: (i) a novel method for distance matrix simulation that permits modeling of within-group pairwise distances according to pre-specified population parameters; (ii) a method to incorporate effects of different sizes within the simulated distance matrix; (iii) a simulation-based method for estimating PERMANOVA power from simulated distance matrices; and (iv) an R statistical software package that implements the above. Matrices of pairwise distances can be efficiently simulated to satisfy the triangle inequality and incorporate group-level effects, which are quantified by the adjusted coefficient of determination, omega-squared (ω2). From simulated distance matrices, available PERMANOVA power or necessary sample size can be estimated for a planned microbiome study.
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Affiliation(s)
| | | | | | | | - James D Lewis
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | | | | | - Hongzhe Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
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Brady T, Kelly BJ, Male F, Roth S, Bailey A, Malani N, Gijsbers R, O'Doherty U, Bushman FD. Quantitation of HIV DNA integration: effects of differential integration site distributions on Alu-PCR assays. J Virol Methods 2013; 189:53-7. [PMID: 23348058 DOI: 10.1016/j.jviromet.2013.01.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Revised: 10/23/2012] [Accepted: 01/09/2013] [Indexed: 12/18/2022]
Abstract
In many studies of HIV replication, it is useful to quantify the number of HIV proviruses in cells against a background of unintegrated forms of the HIV DNA. A popular method for doing so involves quantitative PCR using one primer complementary to the HIV long terminal repeat (LTR), and a second primer complementary to a cellular Alu repeat, so that PCR product only forms from templates where a provirus is integrated in the human genome near an Alu repeat. However, several recent studies have identified conditions that alter distributions of HIV integration sites relative to genes. Because Alu repeats are enriched in gene rich regions, this raises the question of whether altered integration site distributions might confound provirus abundance measurements using the Alu-PCR method. Here modified versions of the HIV tethering protein LEDGF/p75 were used to retarget HIV integration outside of transcription units, and show that this has a negligible effect on Alu-PCR quantitation of proviral abundance. Thus altered integration targeting, at least to the degree achieved here, is not a major concern when using the Alu-PCR assay.
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Affiliation(s)
- Troy Brady
- University of Pennsylvania Perelman School of Medicine, Department of Microbiology, 3610 Hamilton Walk, Philadelphia, PA 19104-6076, United States
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Khiabanian H, Holmes AB, Kelly BJ, Gururaj M, Hripcsak G, Rabadan R. Signs of the 2009 influenza pandemic in the New York-Presbyterian Hospital electronic health records. PLoS One 2010; 5. [PMID: 20844592 PMCID: PMC2936568 DOI: 10.1371/journal.pone.0012658] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2010] [Accepted: 08/17/2010] [Indexed: 11/21/2022] Open
Abstract
Background In June of 2009, the World Health Organization declared the first influenza pandemic of the 21st century, and by July, New York City's New York-Presbyterian Hospital (NYPH) experienced a heavy burden of cases, attributable to a novel strain of the virus (H1N1pdm). Methods and Results We present the signs in the NYPH electronic health records (EHR) that distinguished the 2009 pandemic from previous seasonal influenza outbreaks via various statistical analyses. These signs include (1) an increase in the number of patients diagnosed with influenza, (2) a preponderance of influenza diagnoses outside of the normal flu season, and (3) marked vaccine failure. The NYPH EHR also reveals distinct age distributions of patients affected by seasonal influenza and the pandemic strain, and via available longitudinal data, suggests that the two may be associated with distinct sets of comorbid conditions as well. In particular, we find significantly more pandemic flu patients with diagnoses associated with asthma and underlying lung disease. We further observe that the NYPH EHR is capable of tracking diseases at a resolution as high as particular zip codes in New York City. Conclusion The NYPH EHR permits early detection of pandemic influenza and hypothesis generation via identification of those significantly associated illnesses. As data standards develop and databases expand, EHRs will contribute more and more to disease detection and the discovery of novel disease associations.
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Affiliation(s)
- Hossein Khiabanian
- Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, United States of America.
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Affiliation(s)
- M St J Floyd
- Department of General Surgery, Sligo General Hospital, The Mall, Sligo, Ireland
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Affiliation(s)
- B J Kelly
- Department of Psychiatry, School of Medicine, University of Queensland, and Princess Alexandra Hospital, Brisbane
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Abstract
OBJECTIVE Given the recent publication of Dutch guidelines for euthanasia of the mentally ill, our aim in this paper is to review the clinical role of the psychiatrist in assessing patients who seek euthanasia or physician-assisted suicide. METHOD Three areas are examined that are informative of the role of the psychiatrist in assessing patients who desire death: recent surveys of psychiatrists' attitudes, empirical and clinical studies, and treatment issues. RESULTS Demoralisation and depression emerge as pertinent clinical issues worthy of psychiatric intervention. The role of the psychiatrist is complex and includes issues of assessment, systems, countertransference and treatment. CONCLUSIONS Dutch guidelines for physician-assisted suicide in the mentally ill generate serious concern given the uncertainty of prognosis, potential range and variability of outcome of treatments of suicidality and the boundary violations that are involved for the psychiatrist. The guidelines have the potential to dangerously alter the practice of psychiatry and should be condemned.
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Affiliation(s)
- D W Kissane
- The University of Melbourne, Centre for Palliative Care, Kew, Victoria, Australia.
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Abstract
The present paper reviews research in the area of the broad-spectrum chemotherapeutic agent cisplatin (cis-diamminedichloro-platinum II) and examines the implications for clinical neuropsychology arising from the neurological disruption associated with cisplatin-based therapy. The paper begins with a brief review of cisplatin treatment in terms other than survival alone, and examines the side-effects and the potential central nervous system (CNS) dysfunction in terms of neurological symptoms and concomitant implications for neuropsychology. Two main implications for clinical neuropsychology arising from cisplatin therapy are identified. First, cisplatin therapy impacts upon the psychological well-being of the patient, particularly during and in the months following treatment. It is suggested that during this time, a primary role for neuropsychology is to focus upon the monitoring and the active enhancement of the patient's social, psychological and spiritual resources. Second, with regard to neurocognitive changes, the review suggests that (1) neurocognitive assessment may not yield stable results within 8 months following treatment and (2) while perceptual, memory, attentional and executive dysfunction may be predicted following cisplatin treatment, little systematic research has been carried out to investigate such a possibility. Future research might profitably address this issue and also specifically examine the effects of low dosage cisplatin-based therapy and the effects of recently developed neuroprotective agents. Finally, there is some evidence to suggest that women may be more susceptible to neurotoxicity during cisplatin therapy, but no gender-related cognitive effects are reported in the cisplatin literature. Future research could usefully investigate gender differences in association with cisplatin chemotherapy.
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Affiliation(s)
- L Troy
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
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DeGraba TJ, Hallenbeck JM, Pettigrew KD, Dutka AJ, Kelly BJ. Progression in acute stroke: value of the initial NIH stroke scale score on patient stratification in future trials. Stroke 1999; 30:1208-12. [PMID: 10356101 DOI: 10.1161/01.str.30.6.1208] [Citation(s) in RCA: 160] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The objective was to determine the occurrence of neurological changes during the first 48 hours after acute stroke as it relates to initial stroke severity. METHODS The National Institutes of Health Stroke Scale (NIHSS) was performed serially for the first 48 hours on 127 consecutive ischemic stroke patients (129 strokes) admitted to the neuroscience intensive care unit. Incidence of stroke progression (a >/=3-point increase on the NIHSS) was recorded and analysis performed to determine its association with initial stroke severity and other demographic and physiological variables. Deficit resolution by 48 hours, defined as an NIHSS score of 0 or 1, measured the frequency of functional recovery predicted by the initial deficit. RESULTS Overall progression was noted in 31% of events (40/129). Applying Bayes' solution to the observed frequency of worsening, the greatest likelihood of predicting future patient progression occurs with stratification at NIHSS scores of </=7 and >7. Patients with an initial NIHSS of </=7 experienced a 14.8% (13/88) worsening rate versus a those with a score of >7 with a 65.9% (27/41) worsening rate (P<0.000005). Forty-five percent (40/88) of those with an initial score of </=7 were functionally normal at 48 hours, whereas only 2.4% (1/41) of those with scores of >7 returned to a normal examination within this period (chi2, P<0.000005). CONCLUSIONS This study suggests that the early clinical course of the neurological deficit after acute stroke is dependent on the initial stroke severity and that a dichotomy in early outcome exists surrounding an initial NIHSS score of 7. These findings may have significant implications for the design and patient stratification in treatment protocols with respect to primary clinical outcome.
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Affiliation(s)
- T J DeGraba
- National Institute of Neurological Disorders and Stroke, Stroke Branch,National Institutes of Health, Bethesda, MD, USA.
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Varghese FT, Kelly BJ. Physician-assisted suicide. Psychiatr Serv 1999; 50:564-5; author reply 566. [PMID: 10211745 DOI: 10.1176/ps.50.4.564b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Kelly BJ, Todhunter L, Raphael B. Managing HIV. Part 7: Professional issues. 7.7 HIV care: the impact on the doctor. Med J Aust 1996; 165:150. [PMID: 8709880] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Managing patients with HIV raises complex clinical, ethical and personal challenges. "Burnout" threatens the overcommitted doctor who is not prepared to take preventive measures.
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Abstract
This paper aims to address the clinical issues involved in a patient's request for assisted suicide. The psychiatric and broader psychosocial issues for the dying patient, their family and their treating doctor have been largely unaddressed in the debate concerning euthanasia to date. A range of the clinical issues that need to be incorporated in the ethical and legal considerations are reviewed. The reasons for a patient seeking suicide as a treatment are complex and go beyond questions of a patient's right to die. The request for euthanasia needs to be seen in the context of the patient's circumstances, including relationships with and attitudes of carers and health professionals, along with patterns of psychiatric disorder and psychiatric symptoms in the medically ill. The clinical issues involve not only the diagnosis or management of psychiatric disorder but also the acknowledgment of the factors influencing an individual's adjustment to the threat of illness and death. The dynamics of family interactions and doctor-patient relationships in this setting are factors that may impinge upon a request for assistance to die. These factors may be more important than the severity of a person's illness or their quality of life, and are less likely to be recognised and addressed in situations of professional isolation. There are critical issues facing psychiatry in new legislative developments.
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Affiliation(s)
- B J Kelly
- Department of Psychiatry, University of Queensland, Princess Alexandra Hospital, Brisbane
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Dodson BA, Kelly BJ, Braswell LM, Cohen NH. Changes in acetylcholine receptor number in muscle from critically ill patients receiving muscle relaxants: an investigation of the molecular mechanism of prolonged paralysis. Crit Care Med 1995; 23:815-21. [PMID: 7736737 DOI: 10.1097/00003246-199505000-00007] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Previous reports have described prolonged paralysis after the administration of muscle relaxants in critically ill patients. The purpose of this study was to examine possible pathophysiologic causes for this paralysis by measuring muscle-type, nicotinic acetylcholine receptor number in necropsy muscle specimens from patients who had received muscle relaxants to facilitate mechanical ventilation before death. DESIGN Prospective laboratory study of human muscle collected at autopsy. SETTING Medical and surgical intensive care units (ICUs) at a university hospital and a research laboratory. PATIENTS Fourteen critically ill patients, with a variety of diagnoses, all of whom required mechanical ventilatory support before their deaths in the ICU and who underwent post mortem examination. Patients were arbitrarily divided into three groups, according to their total vecuronium dose and number of days mechanically ventilated before death. Three patients were in the control group (defined as dying within 72 hrs of initiation of ventilatory support and receiving a total dose of < 5 mg of vecuronium). Six patients were in the low-dose group (defined as requiring ventilatory support for > 3 days before death and receiving a total vecuronium dose of < or = 200 mg). Five patients were in the high-dose group (defined as requiring ventilatory support for > 3 days before death and receiving a total vecuronium dose of > 200 mg). INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Nicotinic acetylcholine receptor numbers as measured by specific 125I-alpha-bungarotoxin binding to human rectus abdominis muscle obtained at autopsy were determined. In general, receptor number reflected the clinical requirements for the muscle relaxants of each patient. Patients who had increasing requirements for muscle relaxants before death had increases in receptor number, as compared with control values. CONCLUSIONS The increase in nicotinic acetylcholine receptor number in muscle from patients with an increasing requirement for muscle relaxants before death suggests that nicotinic acetylcholine receptor up-regulation may underlie the increased requirements for muscle relaxants seen in some patients. Furthermore, these findings suggest that muscle relaxant-induced, denervation-like changes may at least be partially responsible for prolonged muscle paralysis after the long-term administration of muscle relaxants. This study may provide the first information into the molecular mechanisms underlying prolonged paralysis.
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Affiliation(s)
- B A Dodson
- Department of Anesthesia, University of California at San Francisco 94143-0648, USA
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Kelly BJ, Matthay MA. Prevalence and severity of neurologic dysfunction in critically ill patients. Influence on need for continued mechanical ventilation. Chest 1993; 104:1818-24. [PMID: 8252971 DOI: 10.1378/chest.104.6.1818] [Citation(s) in RCA: 92] [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] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE The relative importance of neurologic dysfunction in critically ill mechanically ventilated patients has not been well studied. This study investigates the prevalence of neurologic dysfunction in critically ill mechanically ventilated patients and its influence on preventing the discontinuation of mechanical ventilation and patient outcome. DESIGN Prospective study. SETTING University-based, tertiary care center. PATIENTS All eligible adult patients mechanically ventilated for more than 48 h were included. A total of 66 patients were evaluated. INTERVENTIONS None. MAIN OUTCOME MEASURES Two independent questionnaires, one completed by the critical care attending physician documenting the major clinical factors necessitating continued mechanical ventilation, and a second questionnaire, completed by a critical-care trained neurologist documenting neurologic status and objective cardiopulmonary status formed the basis for outcome measurements. Respiratory and physiologic data, the patient's clinical conditions, and outcome (mortality) were also included in the database. RESULTS Pulmonary factors were the major reason for prolonged ventilation in only 51 percent of the patient evaluations. Neurologic status was the major factor necessitating continued mechanical ventilation in 32 percent of the patient evaluations and a significant contributing factor in an additional 41 percent. Of the neurologic factors, diminished level of consciousness was the major cause of continued ventilatory support. This was usually due to a systemic illness, rather than a primary central nervous system disorder. Mortality was significantly lower in patients who continued to require mechanical ventilation after 48 h because of neurologic factors as opposed to pulmonary factors (15 percent vs 72 percent, p = 0.002). CONCLUSIONS There is a high prevalence of neurologic dysfunction in critically ill patients and this problem plays a significant role in preventing the discontinuation of mechanical ventilation. Altered mental status is a major factor necessitating continued mechanical ventilation in combined medical-surgical intensive care units.
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Affiliation(s)
- B J Kelly
- Department of Medicine, University of California, San Francisco 94143-0130
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Abstract
OBJECTIVES To determine the prevalence of reported attention deficits in a sample of children who are deaf or hard of hearing and to examine associated variables. DESIGN Cross-sectional survey. SETTING Residential school for the deaf. PARTICIPANTS All students attending the school (n = 238; median age, 16.0 years; range, 4 to 21 years). Subjects were subgrouped by cause of deafness for further analyses. INTERVENTION None. MEASUREMENTS/MAIN RESULTS School personnel completed questionnaires that are commonly used in the assessment of attention problems. Teachers completed the Attention Deficit Disorder With Hyperactivity (ADD-H) Comprehensive Teacher Rating Scale (ACTeRS) and an abbreviated version of the Attention-Activity section of the ANSER (Aggregate Neurobehavioral Student Health and Education Review) System Questionnaires. Dormitory supervisors rated students on the Conners' Parent Rating Scale and the ANSER System Questionnaires. The mean factor scores for the total sample of deaf and hard-of-hearing students on the Attention and Hyperactivity scales of the ACTeRS and Conners' questionnaires did not differ from the normative data. The 64 students with hereditary deafness received significantly better ratings than the 75 with an acquired cause of deafness such as bacterial meningitis or congenital rubella. Raw scores on the ACTeRS were converted to percentile equivalents based on the normative sample. On the Attention Scale, 38.7% of those with acquired deafness were rated below the 20th percentile (indicative of problems); only 14.1% of the students with hereditary deafness were in this range (P = .002). CONCLUSIONS Ratings of attention for students with hearing loss, attending a residential school, did not differ from the normative data. However, the subgroup of children with acquired sensorineural deafness appear to be at increased risk for attention problems.
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Affiliation(s)
- D P Kelly
- Department of Pediatrics, Southern Illinois University, Springfield 62794-9230
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Abstract
In the past, physicians viewed ischemic injury as an irreversible event. Modern science has shown that this view is incorrect and that ischemic neuronal damage is an ongoing, active process that might be amenable to various therapies. Figure 2 illustrates some of the possible sites where these therapies might be active. Pending evidence of their effectiveness, cerebral protection can best be achieved by maintaining adequate CPP and CBF during periods when patients are at risk for cerebral ischemia, restoring perfusion after ischemia occurs, and optimizing the metabolic milieu of the ischemic penumbra.
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Affiliation(s)
- B J Kelly
- Department of Critical Care Medicine, National Naval Medical Center, Bethesda
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