1
|
Wang C, Li Y, Kaplonek P, Gentili M, Fischinger S, Bowman KA, Sade-Feldman M, Kays KR, Regan J, Flynn JP, Goldberg MB, Hacohen N, Filbin MR, Lauffenburger DA, Alter G, Li JZ. The Kinetics of SARS-CoV-2 Antibody Development Is Associated with Clearance of RNAemia. mBio 2022; 13:e0157722. [PMID: 35762593 PMCID: PMC9426503 DOI: 10.1128/mbio.01577-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/02/2022] [Indexed: 01/23/2023] Open
Abstract
Persistent SARS-CoV-2 replication and systemic dissemination are linked to increased COVID-19 disease severity and mortality. However, the precise immune profiles that track with enhanced viral clearance, particularly from systemic RNAemia, remain incompletely defined. To define whether antibody characteristics, specificities, or functions that emerge during natural infection are linked to accelerated containment of viral replication, we examined the relationship of SARS-CoV-2-specific humoral immune evolution in the setting of SARS-CoV-2 plasma RNAemia, which is tightly associated with disease severity and death. On presentation to the emergency department, S-specific IgG3, IgA1, and Fc-γ-receptor (Fcγ R) binding antibodies were all inversely associated with higher baseline plasma RNAemia. Importantly, the rapid development of spike (S) and its subunit (S1/S2/receptor binding domain)-specific IgG, especially FcγR binding activity, were associated with clearance of RNAemia. These results point to a potentially critical and direct role for SARS-CoV-2-specific humoral immune clearance on viral dissemination, persistence, and disease outcome, providing novel insights for the development of more effective therapeutics to resolve COVID-19. IMPORTANCE We showed that persistent SARS-CoV-2 RNAemia is an independent predictor of severe COVID-19. We observed that SARS-CoV-2-targeted antibody maturation, specifically Fc-effector functions rather than neutralization, was strongly linked with the ability to rapidly clear viremia. This highlights the critical role of key humoral features in preventing viral dissemination or accelerating viremia clearance and provides insights for the design of next-generation monoclonal therapeutics. The main key points will be that (i) persistent SARS-CoV-2 plasma RNAemia independently predicts severe COVID-19 and (ii) specific humoral immune functions play a critical role in halting viral dissemination and controlling COVID-19 disease progression.
Collapse
Affiliation(s)
- Chuangqi Wang
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Yijia Li
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Paulina Kaplonek
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA
| | - Matteo Gentili
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Kathryn A. Bowman
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Kyle R. Kays
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - James Regan
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - James P. Flynn
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Marcia B. Goldberg
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Michael R. Filbin
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Galit Alter
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA
| | - Jonathan Z. Li
- Brigham and Women’s Hospital, Boston, Massachusetts, USA
| |
Collapse
|
2
|
Nguyen LH, Anyane-Yeboa A, Klaser K, Merino J, Drew DA, Ma W, Mehta RS, Kim DY, Warner ET, Joshi AD, Graham MS, Sudre CH, Thompson EJ, May A, Hu C, Jørgensen S, Selvachandran S, Berry SE, David SP, Martinez ME, Figueiredo JC, Murray AM, Sanders AR, Koenen KC, Wolf J, Ourselin S, Spector TD, Steves CJ, Chan AT. The mental health burden of racial and ethnic minorities during the COVID-19 pandemic. PLoS One 2022; 17:e0271661. [PMID: 35947543 PMCID: PMC9365178 DOI: 10.1371/journal.pone.0271661] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [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: 09/14/2021] [Accepted: 07/05/2022] [Indexed: 11/29/2022] Open
Abstract
Racial/ethnic minorities have been disproportionately impacted by COVID-19. The effects of COVID-19 on the long-term mental health of minorities remains unclear. To evaluate differences in odds of screening positive for depression and anxiety among various racial and ethnic groups during the latter phase of the COVID-19 pandemic, we performed a cross-sectional analysis of 691,473 participants nested within the prospective smartphone-based COVID Symptom Study in the United States (U.S.) and United Kingdom (U.K). from February 23, 2021 to June 9, 2021. In the U.S. (n=57,187), compared to White participants, the multivariable odds ratios (ORs) for screening positive for depression were 1·16 (95% CI: 1·02 to 1·31) for Black, 1·23 (1·11 to 1·36) for Hispanic, and 1·15 (1·02 to 1·30) for Asian participants, and 1·34 (1·13 to 1·59) for participants reporting more than one race/other even after accounting for personal factors such as prior history of a mental health disorder, COVID-19 infection status, and surrounding lockdown stringency. Rates of screening positive for anxiety were comparable. In the U.K. (n=643,286), racial/ethnic minorities had similarly elevated rates of positive screening for depression and anxiety. These disparities were not fully explained by changes in leisure time activities. Racial/ethnic minorities bore a disproportionate mental health burden during the COVID-19 pandemic. These differences will need to be considered as health care systems transition from prioritizing infection control to mitigating long-term consequences.
Collapse
Affiliation(s)
- Long H. Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Adjoa Anyane-Yeboa
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Kerstin Klaser
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Jordi Merino
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - David A. Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Raaj S. Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Daniel Y. Kim
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Erica T. Warner
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Amit D. Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Mark S. Graham
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Carole H. Sudre
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Ellen J. Thompson
- Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | | | | | | | | | - Sarah E. Berry
- Department of Nutritional Sciences, King’s College London, London, United Kingdom
| | - Sean P. David
- Department of Family Medicine, University of Chicago, Evanston, IL, United States of America
| | - Maria Elena Martinez
- Moores Cancer Center, University of California at San Diego, La Jolla, CA, United States of America
- Department of Family Medicine and Public Health, University of California at San Diego, La Jolla, CA, United States of America
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Anne M. Murray
- Division of Geriatrics, Department of Medicine, Hennepin Healthcare, University of Minnesota, Minneapolis, MN, United States of America
- Berman Center for Outcomes and Clinical Research, Hennepin Healthcare Research Institute, Hennepin Healthcare, Minneapolis, MN, United States of America
| | - Alan R. Sanders
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, IL, United States of America
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States of America
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | | | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Claire J. Steves
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health,
Boston, MA, United States of America
- Massachusetts Consortium on Pathogen Readiness, Cambridge, MA, United States of America
| |
Collapse
|
3
|
Molteni E, Astley CM, Ma W, Sudre CH, Magee LA, Murray B, Fall T, Gomez MF, Tsereteli N, Franks PW, Brownstein JS, Davies R, Wolf J, Spector TD, Ourselin S, Steves CJ, Chan AT, Modat M. Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts. Sci Rep 2021; 11:6928. [PMID: 33767292 PMCID: PMC7994587 DOI: 10.1038/s41598-021-86452-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [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: 11/26/2020] [Accepted: 03/12/2021] [Indexed: 01/10/2023] Open
Abstract
We tested whether pregnant and non-pregnant women differ in COVID-19 symptom profile and severity, and we extended previous investigations on hospitalized pregnant women to those who did not require hospitalization. Two female community-based cohorts (18-44 years) provided longitudinal (smartphone application, N = 1,170,315, n = 79 pregnant tested positive) and cross-sectional (web-based survey, N = 1,344,966, n = 134 pregnant tested positive) data, prospectively collected through self-participatory citizen surveillance in UK, Sweden and USA. Pregnant and non-pregnant were compared for frequencies of events, including SARS-CoV-2 testing, symptoms and hospitalization rates. Multivariable regression was used to investigate symptoms severity and comorbidity effects. Pregnant and non-pregnant women positive for SARS-CoV-2 infection were not different in syndromic severity, except for gastrointestinal symptoms. Pregnant were more likely to have received testing, despite reporting fewer symptoms. Pre-existing lung disease was most closely associated with syndromic severity in pregnant hospitalized. Heart and kidney diseases and diabetes increased risk. The most frequent symptoms among non-hospitalized women were anosmia [63% pregnant, 92% non-pregnant] and headache [72%, 62%]. Cardiopulmonary symptoms, including persistent cough [80%] and chest pain [73%], were more frequent among pregnant who were hospitalized. Consistent with observations in non-pregnant populations, lung disease and diabetes were associated with increased risk of more severe SARS-CoV-2 infection during pregnancy.
Collapse
Affiliation(s)
- Erika Molteni
- School of Biomedical Engineering and Imaging Sciences, King's College London, 9th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.
| | | | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, 9th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
| | - Laura A Magee
- Department of Women and Children's Health, School of Life Course Sciences and the Institute of Women and Children's Health, King's College London, London, UK
| | - Benjamin Murray
- School of Biomedical Engineering and Imaging Sciences, King's College London, 9th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
| | - Tove Fall
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, 21428, Malmö, Sweden
| | - Neli Tsereteli
- Department of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, 21428, Malmö, Sweden
| | - Paul W Franks
- Department of Clinical Sciences, Lund University Diabetes Centre, Jan Waldenströms gata 35, 21428, Malmö, Sweden
| | - John S Brownstein
- Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | | | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King's College London, 9th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
| | - Claire J Steves
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Marc Modat
- School of Biomedical Engineering and Imaging Sciences, King's College London, 9th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK
| |
Collapse
|