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Gomes B, Brant FGC, Pereira-Pinto CJ, Welbert JP, Costa JPS, Yingling AV, Hurwitz I, David MR, Genta FA. The impact of yeast-encapsulated orange oil in Aedes aegypti oviposition. PLoS One 2024; 19:e0301816. [PMID: 38743802 DOI: 10.1371/journal.pone.0301816] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/24/2024] [Indexed: 05/16/2024] Open
Abstract
The yeast-encapsulated orange oil (YEOO) is a novel larvicide under development against vector mosquitoes. Despite its efficiency against Aedes aegypti (L.) in small scale experiments, its applicability in vector control can be influenced by other effects on mosquito behaviour or physiology. For this reason, the impact of YEOO particles in mosquito oviposition was evaluated in laboratory and semi-field conditions. Oviposition assays with one gravid Aedes aegypti female were carried under laboratory and semi-field conditions with natural light and temperature fluctuation. For all ovitraps, the number of eggs was manually counted in the wooden paddle and in the solution of each ovitrap. The proportion of eggs between substrates (wooden paddle and solution) varied between conditions, with females in laboratory presenting a lower preference to lay eggs in paddles when compared with studies in semi-field. This behaviour shifts in laboratory can create challenges to extrapolate results from laboratory to the field. Here, studies in both conditions indicate a similar impact of YEOO particles in Aedes aegypti oviposition. The potential treatment concentration of YEOO particles presents a strong repellent/deterrent effect (-0.559 > OAI > -0.760) within the initial 72h of application when compared with water, and weak repellent/deterrent signal (OAI = -0.220) when compared against inactivated yeast. Control ovitraps with water were more positive for egg presence than treated ovitraps, while ovitraps with YEOO particles and inactivated yeast present similar number of positive ovitraps. It is possible that the repellent/deterrent action is partially driven by the delivery system, since most times Citrus sinensis EO oviposition repellent/deterrent signal is weak, and it seem influenced by solvent/delivery used. However, it is unclear how the yeast wall that protect/surrounds the orange oil will negatively affect oviposition since live yeast are normally consider an attractant for mosquito oviposition.
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Affiliation(s)
- Bruno Gomes
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
- Instituto Nacional de Endemias Rurais (INERU-Fiocruz), Rio de Janeiro, Brazil
| | - Fabiane G Caldeira Brant
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Camila J Pereira-Pinto
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Juliana P Welbert
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Jean P S Costa
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
- Instituto Nacional de Endemias Rurais (INERU-Fiocruz), Rio de Janeiro, Brazil
| | - Alexandra V Yingling
- Center for Global Health, University of New Mexico Health Sciences, Albuquerque, NM, United States of America
| | - Ivy Hurwitz
- Center for Global Health, University of New Mexico Health Sciences, Albuquerque, NM, United States of America
| | - Mariana R David
- Laboratório de Mosquitos Transmissores de Hematozoários, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
| | - Fernando A Genta
- Laboratório de Bioquímica e Fisiologia de Insetos, Instituto Oswaldo Cruz (IOC-Fiocruz), Rio de Janeiro, Brazil
- Instituto Nacional de Endemias Rurais (INERU-Fiocruz), Rio de Janeiro, Brazil
- Instituto Nacional de Ciência E Tecnologia Em Entomologia Molecular, Rio de Janeiro, Brazil
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Hurwitz I, Yingling AV, Amirkabirian T, Castillo A, Khan JJ, Do A, Lundquist DK, Barnes O, Lambert CG, Fieck A, Mertz G, Onyango C, Anyona SB, Teixeira JP, Harkins M, Unruh M, Cheng Q, Leng S, Seidenberg P, Worsham A, Langsjoen JO, Schneider KA, Perkins DJ. Disproportionate impact of COVID-19 severity and mortality on hospitalized American Indian/Alaska Native patients. PNAS Nexus 2023; 2:pgad259. [PMID: 37649584 PMCID: PMC10465079 DOI: 10.1093/pnasnexus/pgad259] [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] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/23/2023] [Accepted: 07/28/2023] [Indexed: 09/01/2023]
Abstract
Epidemiological data across the United States of America illustrate health disparities in COVID-19 infection, hospitalization, and mortality by race/ethnicity. However, limited information is available from prospective observational studies in hospitalized patients, particularly for American Indian or Alaska Native (AI/AN) populations. Here, we present risk factors associated with severe COVID-19 and mortality in patients (4/2020-12/2021, n = 475) at the University of New Mexico Hospital. Data were collected on patient demographics, infection duration, laboratory measures, comorbidities, treatment(s), major clinical events, and in-hospital mortality. Severe disease was defined by COVID-related intensive care unit requirements and/or death. The cohort was stratified by self-reported race/ethnicity: AI/AN (30.7%), Hispanic (47.0%), non-Hispanic White (NHW, 18.5%), and Other (4.0%, not included in statistical comparisons). Despite similar timing of infection and comparable comorbidities, admission characteristics for AI/AN patients included younger age (P = 0.02), higher invasive mechanical ventilation requirements (P = 0.0001), and laboratory values indicative of more severe disease. Throughout hospitalization, the AI/AN group also experienced elevated invasive mechanical ventilation (P < 0.0001), shock (P = 0.01), encephalopathy (P = 0.02), and severe COVID-19 (P = 0.0002), consistent with longer hospitalization (P < 0.0001). Self-reported AI/AN race/ethnicity emerged as the highest risk factor for severe COVID-19 (OR = 3.19; 95% CI = 1.70-6.01; P = 0.0003) and was a predictor of in-hospital mortality (OR = 2.35; 95% CI = 1.12-4.92; P = 0.02). Results from this study highlight the disproportionate impact of COVID-19 on hospitalized AI/AN patients, who experienced more severe illness and associated mortality, compared to Hispanic and NHW patients, even when accounting for symptom onset and comorbid conditions. These findings underscore the need for interventions and resources to address health disparities in the COVID-19 pandemic.
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Affiliation(s)
- Ivy Hurwitz
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Alexandra V Yingling
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Teah Amirkabirian
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Amber Castillo
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Jehanzaeb J Khan
- Division of Hospital Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Alexandra Do
- School of Medicine, University of New Mexico, MSC08 4720, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Dominic K Lundquist
- School of Medicine, University of New Mexico, MSC08 4720, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - October Barnes
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Christophe G Lambert
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
- Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Annabeth Fieck
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Gregory Mertz
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Clinton Onyango
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
- Department of Biomedical Sciences and Technology, School of Public Health and Community Development, Maseno University, Main Campus-Busia Road, PO Box Private Bag-40105, Maseno, Kenya
| | - Samuel B Anyona
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
- Department of Medical Biochemistry, School of Medicine, Maseno University, Main Campus-Busia Road, PO Box Private Bag-40105, Maseno, Kenya
| | - J Pedro Teixeira
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Michelle Harkins
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Mark Unruh
- Division of Nephrology, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Qiuying Cheng
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Shuguang Leng
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
- Division of Epidemiology, Biostatistics, and Preventative Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Philip Seidenberg
- Department of Emergency Medicine, University of New Mexico Health Sciences Center, MSC11 6025, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Anthony Worsham
- Division of Hospital Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Jens O Langsjoen
- Division of Hospital Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Kristan A Schneider
- Department of Applied Computer- and Biosciences, University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany
| | - Douglas J Perkins
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, MSC10 5550, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
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Perkins DJ, Yingling AV, Cheng Q, Castillo A, Martinez J, Bradfute SB, Leng S, Edwards J, Guo Y, Mertz G, Harkins M, Unruh M, Worsham A, Lambert CG, Teixeira JP, Seidenberg P, Langsjoen J, Schneider K, Hurwitz I. Elevated SARS-CoV-2 in peripheral blood and increased COVID-19 severity in American Indians/Alaska Natives. Exp Biol Med (Maywood) 2022; 247:1253-1263. [PMID: 35491994 PMCID: PMC9379605 DOI: 10.1177/15353702221091180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/13/2022] [Indexed: 01/08/2023] Open
Abstract
Epidemiological data across the United States show health disparities in COVID-19 infection, hospitalization, and mortality by race/ethnicity. While the association between elevated SARS-CoV-2 viral loads (VLs) (i.e. upper respiratory tract (URT) and peripheral blood (PB)) and increased COVID-19 severity has been reported, data remain largely unavailable for some disproportionately impacted racial/ethnic groups, particularly for American Indian or Alaska Native (AI/AN) populations. As such, we determined the relationship between SARS-CoV-2 VL dynamics and disease severity in a diverse cohort of hospitalized patients. Results presented here are for study participants (n = 94, ages 21-88 years) enrolled in a prospective observational study between May and October 2020 who had SARS-CoV-2 viral clades 20A, C, and G. Based on self-reported race/ethnicity and sample size distribution, the cohort was stratified into two groups: (AI/AN, n = 43) and all other races/ethnicities combined (non-AI/AN, n = 51). SARS-CoV-2 VLs were quantified in the URT and PB on days 0-3, 6, 9, and 14. The strongest predictor of severe COVID-19 in the study population was the mean VL in PB (OR = 3.34; P = 2.00 × 10-4). The AI/AN group had the following: (1) comparable co-morbidities and admission laboratory values, yet more severe COVID-19 (OR = 4.81; P = 0.014); (2) a 2.1 longer duration of hospital stay (P = 0.023); and (3) higher initial and cumulative PB VLs during severe disease (P = 0.025). Moreover, self-reported race/ethnicity as AI/AN was the strongest predictor of elevated PB VLs (β = 1.08; P = 6.00 × 10-4) and detection of SARS-CoV-2 in PB (hazard ratio = 3.58; P = 0.004). The findings presented here suggest a strong relationship between PB VL (magnitude and frequency) and severe COVID-19, particularly for the AI/AN group.
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Affiliation(s)
- Douglas J Perkins
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Alexandra V Yingling
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Qiuying Cheng
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Amber Castillo
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Janae Martinez
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Steven B Bradfute
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Shuguang Leng
- Division of Epidemiology, Biostatistics and Preventative Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jeremy Edwards
- Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Yan Guo
- Division of Molecular Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Gregory Mertz
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Michelle Harkins
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Mark Unruh
- Division of Nephrology, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Anthony Worsham
- Division of Hospital Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Christophe G Lambert
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - J Pedro Teixeira
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Phillip Seidenberg
- Department of Emergency Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jens Langsjoen
- Division of Hospital Medicine, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Kristan Schneider
- Department of Applied Computer- and Bio-Sciences, University of Applied Sciences, Mittweida 09648, Germany
| | - Ivy Hurwitz
- Center for Global Health, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
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Jarratt L, Situ J, King RD, Montanez Ramos E, Groves H, Ormesher R, Cossé M, Raboff A, Mahajan A, Thompson J, Ko RF, Paltrow-Krulwich S, Price A, Hurwitz AML, CampBell T, Epler LT, Nguyen F, Wolinsky E, Edwards-Fligner M, Lobo J, Rivera D, Langsjoen J, Sloane L, Hendrix I, Munde EO, Onyango CO, Olewe PK, Anyona SB, Yingling AV, Lauve NR, Kumar P, Stoicu S, Nestsiarovich A, Bologa CG, Oprea TI, Tollestrup K, Myers OB, Anixter M, Perkins DJ, Lambert CG. A Comprehensive COVID-19 Daily News and Medical Literature Briefing to Inform Health Care and Policy in New Mexico: Implementation Study. JMIR Med Educ 2022; 8:e23845. [PMID: 35142625 PMCID: PMC8908195 DOI: 10.2196/23845] [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] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 04/29/2021] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND On March 11, 2020, the New Mexico Governor declared a public health emergency in response to the COVID-19 pandemic. The New Mexico medical advisory team contacted University of New Mexico (UNM) faculty to form a team to consolidate growing information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its disease to facilitate New Mexico's pandemic management. Thus, faculty, physicians, staff, graduate students, and medical students created the "UNM Global Health COVID-19 Intelligence Briefing." OBJECTIVE In this paper, we sought to (1) share how to create an informative briefing to guide public policy and medical practice and manage information overload with rapidly evolving scientific evidence; (2) determine the qualitative usefulness of the briefing to its readers; and (3) determine the qualitative effect this project has had on virtual medical education. METHODS Microsoft Teams was used for manual and automated capture of COVID-19 articles and composition of briefings. Multilevel triaging saved impactful articles to be reviewed, and priority was placed on randomized controlled studies, meta-analyses, systematic reviews, practice guidelines, and information on health care and policy response to COVID-19. The finalized briefing was disseminated by email, a listserv, and posted on the UNM digital repository. A survey was sent to readers to determine briefing usefulness and whether it led to policy or medical practice changes. Medical students, unable to partake in direct patient care, proposed to the School of Medicine that involvement in the briefing should count as course credit, which was approved. The maintenance of medical student involvement in the briefings as well as this publication was led by medical students. RESULTS An average of 456 articles were assessed daily. The briefings reached approximately 1000 people by email and listserv directly, with an unknown amount of forwarding. Digital repository tracking showed 5047 downloads across 116 countries as of July 5, 2020. The survey found 108 (95%) of 114 participants gained relevant knowledge, 90 (79%) believed it decreased misinformation, 27 (24%) used the briefing as their primary source of information, and 90 (79%) forwarded it to colleagues. Specific and impactful public policy decisions were informed based on the briefing. Medical students reported that the project allowed them to improve on their scientific literature assessment, stay current on the pandemic, and serve their community. CONCLUSIONS The COVID-19 briefings succeeded in informing and guiding New Mexico policy and clinical practice. The project received positive feedback from the community and was shown to decrease information burden and misinformation. The virtual platforms allowed for the continuation of medical education. Variability in subject matter expertise was addressed with training, standardized article selection criteria, and collaborative editing led by faculty.
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Affiliation(s)
- LynnMarie Jarratt
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Jenny Situ
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Rachel D King
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | | | - Hannah Groves
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Ryen Ormesher
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Melissa Cossé
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Alyse Raboff
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Avanika Mahajan
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Jennifer Thompson
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Randy F Ko
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | | | - Allison Price
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | | | - Timothy CampBell
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Lauren T Epler
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Fiona Nguyen
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Emma Wolinsky
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | | | - Jolene Lobo
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Danielle Rivera
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Jens Langsjoen
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Lori Sloane
- University of New Mexico Health Sciences Library and Informatics Center, Albuquerque, NM, United States
| | - Ingrid Hendrix
- University of New Mexico Health Sciences Library and Informatics Center, Albuquerque, NM, United States
| | - Elly O Munde
- University of New Mexico-Maseno Global Health Programs Laboratories, Kisumu, Kenya
- Department of Clinical Medicine, School of Health Sciences, Kirinyaga University, Kerugoya, Kenya
| | - Clinton O Onyango
- University of New Mexico-Maseno Global Health Programs Laboratories, Kisumu, Kenya
| | - Perez K Olewe
- University of New Mexico-Maseno Global Health Programs Laboratories, Kisumu, Kenya
| | - Samuel B Anyona
- University of New Mexico-Maseno Global Health Programs Laboratories, Kisumu, Kenya
- Department of Medical Biochemistry, School of Medicine, Maseno University, Maseno, Kenya
| | - Alexandra V Yingling
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Nicolas R Lauve
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
- Department of Computer Science, University of New Mexico, Albuquerque, NM, United States
| | - Praveen Kumar
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
- Department of Computer Science, University of New Mexico, Albuquerque, NM, United States
| | - Shawn Stoicu
- Health and Sciences Center Sponsored Projects Office, University of New Mexico, Albuquerque, NM, United States
| | - Anastasiya Nestsiarovich
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Cristian G Bologa
- University of New Mexico School of Medicine, Albuquerque, NM, United States
- Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Tudor I Oprea
- University of New Mexico School of Medicine, Albuquerque, NM, United States
- Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Kristine Tollestrup
- University of New Mexico College of Population Health, Albuquerque, NM, United States
| | - Orrin B Myers
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Mari Anixter
- New Mexico Department of Health, Communications Office, Office of the Secretary, Santa Fe, NM, United States
| | - Douglas J Perkins
- University of New Mexico School of Medicine, Albuquerque, NM, United States
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Christophe Gerard Lambert
- Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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5
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Bartlett C, Langsjoen J, Cheng Q, Yingling AV, Weiss M, Bradfute S, Perkins DJ, Hurwitz I. COVID-19 global pandemic planning: Presence of SARS-CoV-2 fomites in a university hospital setting. Exp Biol Med (Maywood) 2021; 246:2039-2045. [PMID: 34219476 PMCID: PMC8461048 DOI: 10.1177/15353702211024597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 04/26/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022] Open
Abstract
As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has surged across the globe, great effort has been expended to understand mechanisms of transmission and spread. From a hospital perspective, this topic is critical to limit and prevent SARS-CoV-2 iatrogenic transmission within the healthcare environment. Currently, the virus is believed to be transmitted primarily through respiratory droplets, but a growing body of evidence suggests that spread is also possible through aerosolized particles and fomites. Amidst a growing volume of patients with coronavirus disease 2019 (COVID-19), the purpose of this study was to evaluate the potential for SARS-CoV-2 transmission through fomites. Samples collected from the exposed skin of clinicians (n = 42) and high-touch surfaces (n = 40) were collected before and after encounters with COVID-19 patients. Samples were analyzed using two assays: the CDC 2019-nCoV Real-Time Reverse Transcription polymerase chain reaction (RT-qPCR) assay, and a SYBR Green assay that targeted a 121 bp region within the S-gene of SARS-CoV-2. None of the samples tested positive with the CDC assay, while two high-touch surface areas tested positive for SARS-CoV-2 using the Spike assay. However, viral culture did not reveal viable SARS-CoV-2 from the positive samples. Overall, the results from this study suggest that SARS-CoV-2 RNA were not widely present either on exposed skin flora or high-touch surface areas in the hospital locations tested. The inability to recover viable virus from samples that tested positive by the molecular assays, however, does not rule out the possibility of SARS-CoV-2 transmission through fomites.
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Affiliation(s)
- Christopher Bartlett
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Jens Langsjoen
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Qiuying Cheng
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Alexandra V Yingling
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Myissa Weiss
- School of Medicine, University of New Mexico Health Sciences
Center, Albuquerque, NM 87131, USA
| | - Steven Bradfute
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Douglas J Perkins
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
| | - Ivy Hurwitz
- Department of Internal Medicine, University of New Mexico Health
Sciences Center, Albuquerque, NM 87131, USA
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Bradfute SB, Hurwitz I, Yingling AV, Ye C, Cheng Q, Noonan TP, Raval JS, Sosa NR, Mertz GJ, Perkins DJ, Harkins MS. Severe Acute Respiratory Syndrome Coronavirus 2 Neutralizing Antibody Titers in Convalescent Plasma and Recipients in New Mexico: An Open Treatment Study in Patients With Coronavirus Disease 2019. J Infect Dis 2020; 222:1620-1628. [PMID: 32779705 PMCID: PMC7454720 DOI: 10.1093/infdis/jiaa505] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 08/04/2020] [Indexed: 12/28/2022] Open
Abstract
Background Convalescent plasma (CP) is a potentially important therapy for coronavirus disease 2019 (COVID-19). However, knowledge regarding neutralizing antibody (NAb) titers in donor plasma and their impact in acute COVID-19 patients remains largely undetermined. We measured NAb titers in CP and in acute COVID-19 patients before and after transfusion through the traditional FDA IND pathway. Methods We performed a single-arm interventional trial measuring NAb and total antibody titers before and after CP transfusion over a 14-day period in hospitalized patients with laboratory-confirmed severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection. Trial Registration: Clinicaltrials.gov identifier: NCT04434131 (https://clinicaltrials.gov/ct2/show/NCT04434131) Results NAb titers in the donor CP units were low (<1:40 to 1:160) and had no effect on recipient neutralizing activity one day after transfusion. NAb titers were detected in 6/12 patients upon enrollment and in 11/12 patients during at least two timepoints. Average titers peaked on day 7 and declined towards day 14 (P=0.004). NAb and IgG titers were correlated in donor plasma units (ρ=0.938, P<0.0001) and in the cumulative patient measures (ρ=0.781, P<0.0001). Conclusions CP infusion did not alter recipient NAb titers. Pre-screening of CP may be necessary for selecting donors with high levels of neutralizing activity for infusion into patients with COVID-19.
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Affiliation(s)
- Steven B Bradfute
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Ivy Hurwitz
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Alexandra V Yingling
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Chunyan Ye
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Qiuying Cheng
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Timothy P Noonan
- Division of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Jay S Raval
- Department of Pathology, School of Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Nestor R Sosa
- Division of Infectious Diseases, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Gregory J Mertz
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Douglas J Perkins
- Center for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Michelle S Harkins
- Division of Pulmonary, Critical Care and Sleep, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
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