| Literature DB >> 35765315 |
Jane C Figueiredo1, Fred R Hirsch2, Lawrence H Kushi3, Wendy N Nembhard4, James M Crawford5, Nicholas Mantis6, Laurel Finster1, Noah M Merin7, Akil Merchant7, Karen L Reckamp1, Gil Y Melmed8, Jonathan Braun8, Dermot McGovern8, Samir Parekh2, Douglas A Corley3, Namvar Zohoori4, Benjamin C Amick4, Ruofei Du4, Peter K Gregersen5, Betty Diamond5, Emanuela Taioli2, Carlos Sariol9, Ana Espino9, Daniela Weiskopf10, Alba Gifoni10, James Brien11, William Hanege12, Marc Lipsitch12, David A Zidar13, Ann Scheck McAlearney14, Ania Wajnberg15, Joshua LaBaer16, E Yvonne Lewis17, Raquel A Binder18, Ann M Moormann18, Catherine Forconi18, Sarah Forrester19, Jennifer Batista19, John Schieffelin20, Dongjoo Kim21, Giulia Biancon22, Jennifer VanOudenhove22, Stephanie Halene22, Rong Fan21, Dan H Barouch23, Galit Alter24, Swetha Pinninti25, Suresh B Boppana25, Sunil K Pati25, Misty Latting25, Andrew H Karaba26, John Roback27, Rafick Sekaly27, Andrew Neish27, Ahnalee M Brincks28, Douglas A Granger29, Amy B Karger30, Bharat Thyagarajan31, Stefani N Thomas30, Sabra L Klein31, Andrea L Cox26, Todd Lucas32, Debra Furr-Holden32, Kent Key32, Nicole Jones32, Jens Wrammerr33, Mehul Suthar33, Serre Yu Wong34, Natalie M Bowman35, Viviana Simon36, Lynne D Richardson37, Russell McBride38, Florian Krammer36, Meenakshi Rana38, Joshua Kennedy39, Karl Boehme40, Craig Forrest40, Steve W Granger41, Christopher D Heaney42, Maria Knight Lapinski43, Shannon Wallet44, Ralph S Baric45, Luca Schifanella46, Marcos Lopez47, Soledad Fernández48, Eben Kenah49, Ashish R Panchal50, William J Britt51, Iñaki Sanz52, Madhav Dhodapkar52, Rafi Ahmed53, Luther A Bartelt35, Alena J Markmann35, Jessica T Lin35, Robert S Hagan35, Matthew C Wolfgang54, Jacek Skarbinski3.
Abstract
Background: Global efforts are needed to elucidate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the underlying cause of coronavirus disease 2019 (COVID-19), including seroprevalence, risk factors, and long-term sequelae, as well as immune responses after vaccination across populations and the social dimensions of prevention and treatment strategies.Entities:
Keywords: COVID-19; SARS-CoV-2; SeroNet; cohort; epidemiology; serosurveillance
Year: 2022 PMID: 35765315 PMCID: PMC9129196 DOI: 10.1093/ofid/ofac171
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 4.423
Figure 1.Primary US Institutions Participating in SeroNet Studies.
Evolution of Scientific Inquiry in SeroNet
| Research Questions in Prevaccine Era | Research Questions in Postvaccine Era | Future Directions |
| What is the prevalence of SARS-CoV-2 infection in the United States across age groups, racial/ethnic groups, and urban/rural populations? | Do persons with immunosuppression develop similar immune responses after SARS-CoV-2 vaccination as healthy individuals? | What are the trajectories of immune response after natural infection and/or vaccination? Is the pandemic over for otherwise healthy populations? |
| Why do some people who are exposed to SARS-CoV-2 develop symptoms and others do not? | Do specific immune suppressive therapies affect risk of SARS-CoV-2 infection or vaccination response (eg, cancer therapies including immunotherapies)? | Do additional doses/boosters of vaccine among immunosuppressed persons provide increased protection from infection or severe COVID-19? |
| What risk factors explain the spectrum of disease severity among those diagnosed with COVID-19? How do we define “long COVID” (postacute sequelae of SARS-CoV-2, PASC) and what are the predictors? | What is the durability of the vaccine-induced immune response across diverse populations? | What is the optimal timing of vaccination relative to treatment for disease management? |
| What are the risk factors associated with reinfection? | What is the clinical significance of “breakthrough COVID” in vaccinated populations? | Is serological measures of antibodies useful as a means to monitor vulnerable individuals and/or help guide vaccination policy? |
| How does disease severity correlate with long-term immunity to reinfection? | What are the characteristics of “low” vaccine responders? What alternative strategies are needed to protect them? | How do booster vaccines hold up against future “variants of concern”? |
| What genetic, clinical, and environmental factors affect the immune response to SARS-CoV-2? | Does vaccination decrease the likelihood of risk of severe illness? Long COVID? | What are barriers or enhancers of vaccine uptake among minority populations (eg, black and Hispanic communities), across the lifespan? |
| Do people with certain health conditions, such as cancer, diabetes, heart disease, or autoimmune disease, have an increased risk of developing severe illness from COVID-19? | What is the level of vaccine hesitancy across various populations? How do we address concerns? | What tools and resources are needed to enable broad and effective, home-based salivary collection? |
| Do culturally targeted messages about COVID-19 and noninvasive salivary antibody testing increase participation in research uptake among minority populations (eg, black and Hispanic communities)? | Do culturally targeted messages about COVID-19 and vaccines increase vaccination rates uptake among minority populations (eg, black and Hispanic communities)? | What are the interactions between anti-SARS-CoV-2 monoclonal antibody therapy for treatment and prevention of SARS-CoV-2 and development and maintenance of an immune response? |
| What is the significance of SARS-CoV-2 “variants of concern”? | What role can salivary antibody testing play in addressing vaccination hesitancy and booster vaccination among hesitant and underserved populations? | How do we prepare for the next pandemic? |
Abbreviations: COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Description of Epidemiologic Studies in SeroNet
| Institution/Award | Project Title | Study Design | Study Population | Proposed Sample Size | Methods | Biospecimens and Assays |
|---|---|---|---|---|---|---|
| Arizona State University, | Multiplexed In-solution Serological Test for SARS-CoV-2, Human Coronaviruses, and Other Respiratory Pathogens | Prospective cohort study | □ HIV, cancer, and transplant patients and immunocompetent controls; | 1125 immunocompromised; 375 controls; 500 postnatural infection | 3/2021–10/2025; Samples collected prevaccination and then 1, 3, 6, 12, 24 months postvaccination; Survey, medical records | Serum, PBMC, anterior nasal swab and saliva; MISPA to assay antibodies against the immunodominant antigens from SARS-CoV-2, other 6 human coronaviruses, and additional respiratory pathogens |
| Case Western Reserve School of Medicine and The Lerner School of Medicine, U01CA260513 | Pre-exposure Immunologic Health and Linkages to SARS-COV2 Serologic Responses, Endothelial Cell Resilience, and Cardiovascular Complications: Defining the Mechanistic Basis of High Risk Endotypes (Cardio-COVID) | Retrospective cohort study | □ US veterans with COVID-19 receiving care within the Veterans Administration Health System; | 150 000 | 3/2019–12/2021; Medical records | Serum; Reactivity to the full-length S protein, the receptor binding domain (RBD) of the S1 protein and N protein, |
| Case Western Reserve University, U01CA260539 | Early Drivers of Humoral Immunity to SARS-CoV-2 Infections | Prospective cohort study | □ Individuals exposed to people known to have COVID-19; | 200 | 9/2021–present; | Serum, Saliva and PBMC; Bead array assays to measure antibodies to S and N proteins and RBD in serum, S and N proteins and RBD- specific sIgA and IgG in saliva relative to total IgA and IgG in saliva, Ag-specific B cells in peripheral circulation (flow cytometry and ELISPOT) and isolating individual Ag-specific B cells to determine somatic mutations |
|
| Diversity and Determinants of the Immune-Inflammatory Response to SARS-CoV-19 | Prospective cohort study | □ Healthcare workers (including those recovering COVID-19 patients and their household contacts), cancer patients, patients with IBD; | 2060 health workers, 1000 cancer patients, 175 IBD patients | 12/2020–9/2025; Samples collected pre- and postvaccination up to 5 years; self-completed questionnaires, medical records | Plasma, Buffy, PBMC; Antibody levels using Abbott assays for RBD and N protein; T cell repertoire using Adaptive; proteomics; metabolomics |
| College of Human Medicine, Michigan State University, U01CA260469 | Culturally Targeted Communication to Promote SARS-CoV-2 Antibody Testing in Saliva: Enabling Evaluation of Inflammatory Pathways in COVID-19 Racial Disparities | Randomized control trial | □ Black and white members of Flint Registry; | 500 | 6/2021–6/2024, Baseline measures, Surveys | Saliva; Multiplex salivary antibody assay for anti-nucleocapsid, RBD. IgG, IgA, and IgM. Panel of inflammatory markers including IFN-γ, TNF-α, IL-1β, IL-2, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12p70, IL-13, IL-17A |
|
| Immune Regulation of COVID-19 Infection in Cancer and Autoimmunity | Prospective cohort study | □ Hospital inpatients newly admitted due to a positive SARS-CoV-2 RT-PCR test. Emphasis on patients with cancer, obesity, immune compromise, and other conditions that could affect the viral immune response. | 93 to date; plan to continue enrollment during each viral wave in Atlanta | 4/2021–present; Samples collected upon admission to hospital with positive test for SARS-CoV-2, at discharge, and then 3 and 6 months after discharge; survey, medical records | Serum, NGS of NP swab sample, flow cytometry, ELISPOT, viral neutralization, RNA-Seq, multiplex cytokine assays, metabolomics |
| Feinstein Institutes for Medical Research, Northwell Health, CBC21X090 | Serological Sciences Network Capacity Building Center | Prospective cohort study | □ Autoimmune Conditions (Systemic Lupus Erythematosus; Sjögren’s syndrome, rheumatoid arthritis) and immunocompetent controls; | 700 controls and 400 with autoimmune disease | 6/2021– 12/2021; Time 0, 2 months, 6 months, 12 months, 24 months; Medical records | SARS-CoV-2 antibody assays on serum or plasma: Roche Cobas Elecsys, DiaSorin LIAISON |
|
| Characterization of the Antibody Response to SARS-CoV-2 in Lung Cancer Patients | Prospective cohort study | □ Lung cancer patients and controls; | 2000 | 10/2020–4/2024; At time 0, 3, 6, 12, 24 months; Survey, medical records | SARS-CoV-2 antibody assays on serum |
| Icahn School of Medicine at Mount Sinai, CBC21X092 | Serological Sciences Network Capacity Building Center | Prospective, longitudinal study | □ Persons with Inflammatory bowel disease | 400 | 02/2021–01/2023; 6 visits: 1 prevaccine (if feasible), and longitudinally at 3, 6, 12, and 24 months | Serum, PBMC, Mount Sinai/Kantaro; Enzyme-linked immunosorbent assay (ELISA) |
|
| Johns Hopkins Excellence in Pathogenesis and Immunity Center for SARS-CoV-2 (JH-EPICS) | Prospective cohort study | □ HIV, cancer, and transplant patients and immunocompetent controls; | 2000 | Prevaccine, 2 weeks postvaccine, then every 6 months; | Serum, plasma, PBMC, and nasal and oropharyngeal swabs; Mesoscale Discovery Assay (MSD) and ELISA to assay antibodies and antibody subtypes directed against SARS-CoV-2 proteins, MSD assays for cytokines and chemokines, metabolic immune cell flow cytometry, virus neutralization assays, antibody-dependent cellular cytotoxicity, complement-mediated cytotoxicity, complement fixation, ViraFEST and ELISpot |
| Kaiser Permanente Northern California, | SARS-CoV-2 Serological Antibody Testing for Disease Surveillance and Clinical Use | Serial seroprevalence surveys with built in longitudinal follow-up of a subset of participants | □ Kaiser Permanente Northern California members aged ≥7 years old; | Seroprevalence: 3000 per month × 24 months = 72 000; Longitudinal follow-up group: 1200 | 4/2021–3/2023; At time 0 and 3-month for seroprevalence survey; At time 0, 3, 6, 12, 24 months for longitudinal follow-up subgroup; Survey, medical records | Serum; Serum/ Diasorin LIAISON SARS-CoV-2 S1/S2 IgG test AND Siemens SARS-CoV-2 Total Assay on ADVIA Centaur Platform |
|
| Center for Serological Testing to Improve Outcomes from Pandemic COVID-19 (STOP-COVID) | Prospective cohort study | □ First responders, healthcare workers, and their household contacts; | 2500 | 2/2021–8/2026; Time 0 and then every 180 days; Survey | Whole blood for serology; nasal swab for PCR. Saliva and biorepository specimens; anti-S (qual), anti-N (qual), trimeric anti-S (qual), unique S peptide alpha, unique N peptide alpha, unique S peptide beta, unique N peptide beta, unique S peptide SARS, unique N peptide SARS, common (cross-reactive) S peptide and N peptide, neutralizing titer(s) WT, D614G, B.1.1.7, B.1.351, P1, B.1.617.2,SARS, SARS QC coverage, SARS strain (Pango & GISAID), RSV A, RSV B, influenza A(H3N2), influenza A (H1N1), influenza B, human coronavirus HKU1, human coronavirus OC43, human coronavirus NL63, human coronavirus 229E, human metapneumovirus (HMPV), human adenovirus (HAdV), IFNB1 RNA, DXVX QC |
|
| Tulane University COVID Antibody and Immunity Network (TUCAIN) | Prospective cohort | □ Adults living with solid and liquid cancers, adults with HIV, children with asthma, adults, and children with a history of SARS-CoV-2 infection or vaccination; | 1600 | 04/2020–12/2025; Time 0, 1, 2, 4, 6 months then every 6 months after each immune event (eg, SARS-CoV-2 infection or vaccination); Survey and blood collection | Plasma, PBMCs; ELISA for anti-SARS-CoV-2 N, S and RBD Ab, T-cell epitopes studies, pseudovirus neutralization assays, antibody function assays |
| University of Alabama at Birmingham, Heersink School of Medicine | Adaptive Immunity and Persistent SARS-CoV-2 Replication | Prospective cohort study | □ Children undergoing cancer chemotherapy or other immunomodulatory treatment with COVID-19 | 300 | 9/2020– 8/2024 | Whole blood; Plasma ELISA for IgG binding antibodies, neutralizing antibody assays using ACE2 binding inhibition and pseudovirus particles; NP swabs—RT-PCR for the detection of SARS-CoV-2 RNA |
| University of Arkansas for Medical Sciences, Fay W. Boozman College of Public Health, U01CA260526 | The DISCOVAR Study: Disparities in Immune Response to SARS-CoV-2 in Arkansas | Prospective cohort study | □ Adult residents of Arkansas with COVID-19; | 600 | 4/2021–12/2025; Time 0, 1, 2, 3, 6, 12, 18, 24, 30, 36, 42, 48 months; Telephone, video or in person interview; medical records | SARS-CoV-2 antibody assays on serum and dried blood spots |
| University of Massachusetts Chan Medical School, U01CA261276 | Enhancing Racial and Ethnic Diversity in COVID-19 Immunology Research Participation Through Storytelling (COVIDStory) | Randomized control trial | □ Black and Hispanic community members; | 1920 | 10/2021–8/2022 Survey in Qualtrics and RedCap: blood collection at Time 0. | Plasma; ELISA and/or LUMINEX screening for SARS-CoV-2 N, S, RBD IgG and IgA antibodies among other common viral infections such as the common human CoVs (OC43, LN63, 229E, and HKU1) influenza, EBV, and CMV |
| University of Minnesota, | Serological Sciences Network Capacity Building Center | Repeated measurement longitudinal cohort | □ HIV patients, cancer survivors, solid organ and hematopoietic transplant patients, and immunocompetent adults; | 600 in each of the immunocompromised groups and 300 in the immunocompetent group. | 06/2021– 12/2023 Prevaccine, 1-month postboost dose, then every 3–6 months; Medical records | Serum, plasma, PBMCs/ELISA, automated immunoassay (Roche Cobas), University of Minnesota in-house developed spike total anti-RBD antibody method with IgG titers, and Roche nucleocapsid qualitative method (to assess for natural infection) |
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| North Carolina SeroNet Center for Excellence | Longitudinal cohort | □ Individuals with a positive test for SARS-CoV-2 infection (OBS-C); Households with persons with COVID-19 (CO-HOST); Farm and food processing workers (COFF-NC); Individuals with a positive test for SARS-CoV-2 infection who donated convalescent plasma (CCP) or received convalescent plasma (CoVIP) as part of a clinical trial; Individuals who have received a SARS-CoV-2 vaccine (AIM-CoV); NC-laboratory remnant samples from outpatient and inpatient clinics from April 2020 to June 2021 (HRS-CoV). | OBS-C: 53, | 04/2020–2026; variable durations of follow up (28 days to 1 year); HRS-CoV was cross-sectional | Serum; Plasma;Whole blood; Nasopharyngeal swabs; Anterior nasal turbinate swabs; Saliva; Throat wash; |
| University of Puerto Rico Medical Sciences Campus, Puerto Rico Science, Technology and Research Trust, La Jolla Institute of Technology, U01CA260541 | SARS-CoV-2 Correlates of Protection in a Latino-Origin Population | Cross-sectional study | □ COVID-19 patients in Puerto Rico and vaccinated patients; | 30 000 | 11/2020–7/2025; Baseline, 2 weeks; Survey, medical records | Nasopharyngeal swabs, whole blood; LDA ELISA-based IgM/IgG tests |
| Yale University, U01CA260507 | Immuno-Serological Assays for Monitoring COVID19 in Patients with Hematologic Malignancies | Retrospective cohort study | □ >18 yo, M/F; | ~300 | 11/2020– 10/2025; Samples will be collected at prevaccine, and 1 month, 3 months, 12 months and 24 months postvaccination | Microfluidic barcode chip for high-plex serology assay; Microfluidic barcode chip for high-plex plasma protein assay; CodePlex assay for multiplex cytokine assay commercially available at IsoPlexis; IsoCode assay of single-cell cytokine signature commercially available at IsoPlexis; Single-cell RNA-seq commercially available at 10× Genomics; Single-cell TCR/BCR sequencing available at 10× Genomics; CyTOF assay for multiplex immunophenotyping commercially available at Fluidigm |
| Nonepidemiologic SeroNet Studies | ||||||
| Beth Israel Deaconess Medical Center, U01CA260476 | Immunologic Signatures of SARS-CoV-2 vaccination and disease | |||||
| Harvard T Chan School of Public Health, | Causal, statistical, and mathematical modeling with serologic data | |||||
| La Jolla Institute For Immunology, U01CA260588 | SARS-CoV-2-reactive tissue-resident memory T cells in healthy and cancer subjects | |||||
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| Mechanisms and duration of immunity to SARS-CoV-2 | |||||
| Wadsworth Center, | High-throughput dried blood spot (HT-DBS) technologies in SARS COV-2 serology and vaccinology | |||||
Abbreviations: Ab, antibody; Ag, antigen; BCR, B-cell receptor; CMV, cytomegalovirus; COVID-19, coronavirus disease 2019; EBV, Epstein-Barr virus; HIV, human immunodeficiency virus; HRS, Hospital Remnant Study; IBD, inflammatory bowel disease; IFN, interferon; Ig, immunoglobulin; IL, interleukin; NC, North Carolina; NGS, next-generation sequencing; NP, nasopharyngeal; PBMC, peripheral blood mononuclear cells; RT-PCR, reverse-transcription polymerase chain reaction; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TCR, T-cell receptor; TNF, tumor necrosis factor; WT, wild type; yo, years old.
Centers of Excellence (n = 8).