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1. Integrated longitudinal multiomics study identifies immune programs associated with acute COVID-19 severity and mortality

Author

Gygi, Jeremy P, Maguire, Cole, Patel, Ravi K, Shinde, Pramod, Konstorum, Anna, Shannon, Casey P, Xu, Leqi, Hoch, Annmarie, Jayavelu, Naresh Doni, Haddad, Elias K, Network, IMPACC, Reed, Elaine F, Kraft, Monica, McComsey, Grace A, Metcalf, Jordan P, Ozonoff, Al, Esserman, Denise, Cairns, Charles B, Rouphael, Nadine, Bosinger, Steven E, Kim-Schulze, Seunghee, Krammer, Florian, Rosen, Lindsey B, van Bakel, Harm, Wilson, Michael, Eckalbar, Walter L, Maecker, Holden T, Langelier, Charles R, Steen, Hanno, Altman, Matthew C, Montgomery, Ruth R, Levy, Ofer, Melamed, Esther, Pulendran, Bali, Diray-Arce, Joann, Smolen, Kinga K, Fragiadakis, Gabriela K, Becker, Patrice M, Sekaly, Rafick P, Ehrlich, Lauren IR, Fourati, Slim, Peters, Bjoern, Kleinstein, Steven H, and Guan, Leying

Subjects
Biomedical and Clinical Sciences, Immunology, Clinical Research, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Humans, COVID-19, Male, Longitudinal Studies, SARS-CoV-2, Female, Middle Aged, Severity of Illness Index, Aged, Adult, Cytokines, Multiomics, IMPACC Network, Adaptive immunity, Innate immunity, Medical and Health Sciences, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

BACKGROUNDPatients hospitalized for COVID-19 exhibit diverse clinical outcomes, with outcomes for some individuals diverging over time even though their initial disease severity appears similar to that of other patients. A systematic evaluation of molecular and cellular profiles over the full disease course can link immune programs and their coordination with progression heterogeneity.METHODSWe performed deep immunophenotyping and conducted longitudinal multiomics modeling, integrating 10 assays for 1,152 Immunophenotyping Assessment in a COVID-19 Cohort (IMPACC) study participants and identifying several immune cascades that were significant drivers of differential clinical outcomes.RESULTSIncreasing disease severity was driven by a temporal pattern that began with the early upregulation of immunosuppressive metabolites and then elevated levels of inflammatory cytokines, signatures of coagulation, formation of neutrophil extracellular traps, and T cell functional dysregulation. A second immune cascade, predictive of 28-day mortality among critically ill patients, was characterized by reduced total plasma Igs and B cells and dysregulated IFN responsiveness. We demonstrated that the balance disruption between IFN-stimulated genes and IFN inhibitors is a crucial biomarker of COVID-19 mortality, potentially contributing to failure of viral clearance in patients with fatal illness.CONCLUSIONOur longitudinal multiomics profiling study revealed temporal coordination across diverse omics that potentially explain the disease progression, providing insights that can inform the targeted development of therapies for patients hospitalized with COVID-19, especially those who are critically ill.TRIAL REGISTRATIONClinicalTrials.gov NCT04378777.FUNDINGNIH (5R01AI135803-03, 5U19AI118608-04, 5U19AI128910-04, 4U19AI090023-11, 4U19AI118610-06, R01AI145835-01A1S1, 5U19AI062629-17, 5U19AI057229-17, 5U19AI125357-05, 5U19AI128913-03, 3U19AI077439-13, 5U54AI142766-03, 5R01AI104870-07, 3U19AI089992-09, 3U19AI128913-03, and 5T32DA018926-18); NIAID, NIH (3U19AI1289130, U19AI128913-04S1, and R01AI122220); and National Science Foundation (DMS2310836).

Published
2024

2. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

Author

Nsoesie, Elaine Okanyene, Cesare, Nina, Müller, Martin, and Ozonoff, Al

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe epidemic of misinformation about COVID-19 transmission, prevention, and treatment has been going on since the start of the pandemic. However, data on the exposure and impact of misinformation is not readily available. ObjectiveWe aim to characterize and compare the start, peak, and doubling time of COVID-19 misinformation topics across 8 countries using an exponential growth model usually employed to study infectious disease epidemics. MethodsCOVID-19 misinformation topics were selected from the World Health Organization Mythbusters website. Data representing exposure was obtained from the Google Trends application programming interface for 8 English-speaking countries. Exponential growth models were used in modeling trends for each country. ResultsSearches for “coronavirus AND 5G” started at different times but peaked in the same week for 6 countries. Searches for 5G also had the shortest doubling time across all misinformation topics, with the shortest time in Nigeria and South Africa (approximately 4-5 days). Searches for “coronavirus AND ginger” started at the same time (the week of January 19, 2020) for several countries, but peaks were incongruent, and searches did not always grow exponentially after the initial week. Searches for “coronavirus AND sun” had different start times across countries but peaked at the same time for multiple countries. ConclusionsPatterns in the start, peak, and doubling time for “coronavirus AND 5G” were different from the other misinformation topics and were mostly consistent across countries assessed, which might be attributable to a lack of public understanding of 5G technology. Understanding the spread of misinformation, similarities and differences across different contexts can help in the development of appropriate interventions for limiting its impact similar to how we address infectious disease epidemics. Furthermore, the rapid proliferation of misinformation that discourages adherence to public health interventions could be predictive of future increases in disease cases.

Published
2020
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3. IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition

Author

Ozonoff, Al, Ehrlich, Lauren IR, Melamed, Esther, Sesma, Ana Fernandez, Simon, Viviana, Pulendran, Bali, Nadeau, Kari C, Davis, Mark M, McCoey, Grace A, Sekaly, Rafick, Baden, Lindsey R, Levy, Ofer, Schaenman, Joanna, Reed, Elaine F, Shaw, Albert C, Hafler, David A, Montgomery, Ruth R, Kleinstein, Steven H, Becker, Patrice M, Augustine, Alison D, Calfee, Carolyn S, Erle, David J, DeBakey, Michael E, Corry, David B, Kheradmand, Farrah, Atkinson, Mark A, Brakenridge, Scott C, Higuita, Nelson I Agudelo, Metcalf, Jordan P, Hough, Catherine L, Messer, William B, Kraft, Monica, Bime, Chris, Peters, Bjoern, Milliren, Carly E, Syphurs, Caitlin, McEnaney, Kerry, Barton, Brenda, Lentucci, Claudia, Saluvan, Mehmet, Chang, Ana C, Hoch, Annmarie, Albert, Marisa, Shaheen, Tanzia, Kho, Alvin T, Liu, Shanshan, Thomas, Sanya, Chen, Jing, Murphy, Maimouna D, Cooney, Mitchell, Hayati, Arash Nemati, Bryant, Robert, Abraham, James, Jayavelu, Naresh Doni, Presnell, Scott, Jancsyk, Tomasz, Maguire, Cole, Qi, Jingjing, Lee, Brian, Fourati, Slim, Esserman, Denise A, Guan, Leying, Gygi, Jeremy, Pawar, Shrikant, Brito, Anderson, Fragiadakis, Gabriela K, Patel, Ravi, Overton, James A, Vita, Randi, Westendorf, Kerstin, Shannon, Casey P, Tebbutt, Scott J, Thyagarajan, Rama V, Rousseau, Justin F, Wylie, Dennis, Triplett, Todd A, Kojic, Erna, Chinthrajah, Sharon, Ahuja, Neera, Rogers, Angela J, Artandi, Maja, Geng, Linda, Yendewa, George, Powell, Debra L, Kim, James N, Simmons, Brent, Goonewardene, I Michael, Smith, Cecilia M, Martens, Mark, Sherman, Amy C, Walsh, Stephen R, Issa, Nicolas C, Salehi-Rad, Ramin, Dela Cruz, Charles, Farhadian, Shelli, Iwasaki, Akiko, Ko, Albert I, Anderson, Evan J, Mehta, Aneesh K, and Sevransky, Jonathan E

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Immunology, Infectious Diseases, Coronaviruses, Lung, Emerging Infectious Diseases, Inflammatory and immune system, Good Health and Well Being, Humans, COVID-19, Glycosylation, SARS-CoV-2, Glycosyltransferases, Complement System Proteins, Immunoglobulin M, IMPACC Network
Abstract

The glycosylation of IgG plays a critical role during human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, activating immune cells and inducing cytokine production. However, the role of IgM N-glycosylation has not been studied during human acute viral infection. The analysis of IgM N-glycosylation from healthy controls and hospitalized coronavirus disease 2019 (COVID-19) patients reveals increased high-mannose and sialylation that correlates with COVID-19 severity. These trends are confirmed within SARS-CoV-2-specific immunoglobulin N-glycan profiles. Moreover, the degree of total IgM mannosylation and sialylation correlate significantly with markers of disease severity. We link the changes of IgM N-glycosylation with the expression of Golgi glycosyltransferases. Lastly, we observe antigen-specific IgM antibody-dependent complement deposition is elevated in severe COVID-19 patients and modulated by exoglycosidase digestion. Taken together, this work links the IgM N-glycosylation with COVID-19 severity and highlights the need to understand IgM glycosylation and downstream immune function during human disease.

Published
2024

5. Features of acute COVID-19 associated with post-acute sequelae of SARS-CoV-2 phenotypes: results from the IMPACC study

Author

Ozonoff, Al, Jayavelu, Naresh Doni, Liu, Shanshan, Melamed, Esther, Milliren, Carly E., Qi, Jingjing, Geng, Linda N., McComsey, Grace A., Cairns, Charles B., Baden, Lindsey R., Schaenman, Joanna, Shaw, Albert C., Samaha, Hady, Seyfert-Margolis, Vicki, Krammer, Florian, Rosen, Lindsey B., Steen, Hanno, Syphurs, Caitlin, Dandekar, Ravi, Shannon, Casey P., Sekaly, Rafick P., Ehrlich, Lauren I. R., Corry, David B., Kheradmand, Farrah, Atkinson, Mark A., Brakenridge, Scott C., Higuita, Nelson I. Agudelo, Metcalf, Jordan P., Hough, Catherine L., Messer, William B., Pulendran, Bali, Nadeau, Kari C., Davis, Mark M., Sesma, Ana Fernandez, Simon, Viviana, van Bakel, Harm, Kim-Schulze, Seunghee, Hafler, David A., Levy, Ofer, Kraft, Monica, Bime, Chris, Haddad, Elias K., Calfee, Carolyn S., Erle, David J., Langelier, Charles R., Eckalbar, Walter, Bosinger, Steven E., Peters, Bjoern, Kleinstein, Steven H., Reed, Elaine F., Augustine, Alison D., Diray-Arce, Joann, Maecker, Holden T., Altman, Matthew C., Montgomery, Ruth R., Becker, Patrice M., and Rouphael, Nadine

Published
2024
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7. Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study

Author

Ozonoff, Al, Schaenman, Joanna, Jayavelu, Naresh Doni, Milliren, Carly E, Calfee, Carolyn S, Cairns, Charles B, Kraft, Monica, Baden, Lindsey R, Shaw, Albert C, Krammer, Florian, van Bakel, Harm, Esserman, Denise A, Liu, Shanshan, Sesma, Ana Fernandez, Simon, Viviana, Hafler, David A, Montgomery, Ruth R, Kleinstein, Steven H, Levy, Ofer, Bime, Christian, Haddad, Elias K, Erle, David J, Pulendran, Bali, Nadeau, Kari C, Davis, Mark M, Hough, Catherine L, Messer, William B, Higuita, Nelson I Agudelo, Metcalf, Jordan P, Atkinson, Mark A, Brakenridge, Scott C, Corry, David, Kheradmand, Farrah, Ehrlich, Lauren IR, Melamed, Esther, McComsey, Grace A, Sekaly, Rafick, Diray-Arce, Joann, Peters, Bjoern, Augustine, Alison D, Reed, Elaine F, Altman, Matthew C, Becker, Patrice M, Rouphael, Nadine, Bime, Chris, McEnaney, Kerry, Barton, Brenda, Lentucci, Claudia, Saluvan, Mehmet, Chang, Ana C, Hoch, Annmarie, Albert, Marisa, Shaheen, Tanzia, Kho, Alvin T, Thomas, Sanya, Chen, Jing, Murphy, Maimouna D, Cooney, Mitchell, Presnell, Scott, and Fragiadakis, Gabriela K

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Lung, Clinical Research, Emerging Infectious Diseases, Prevention, Infectious Diseases, Genetics, Coronaviruses, Good Health and Well Being, COVID-19, Creatinine, Female, Hospitalization, Humans, Male, Phenotype, Prospective Studies, RNA, Viral, SARS-CoV-2, Severity of Illness Index, Troponin, Post-Acute COVID-19 Syndrome, Viral load, Antibody, IMPACC study group members, Public Health and Health Services, Clinical sciences, Epidemiology
Abstract

BackgroundBetter understanding of the association between characteristics of patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management.MethodsImmunophenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective, observational study of 1164 patients from 20 hospitals across the United States. Disease severity was assessed using a 7-point ordinal scale based on degree of respiratory illness. Patients were prospectively surveyed for 1 year after discharge for post-acute sequalae of COVID-19 (PASC) through quarterly surveys. Demographics, comorbidities, radiographic findings, clinical laboratory values, SARS-CoV-2 PCR and serology were captured over a 28-day period. Multivariable logistic regression was performed.FindingsThe median age was 59 years (interquartile range [IQR] 20); 711 (61%) were men; overall mortality was 14%, and 228 (20%) required invasive mechanical ventilation. Unsupervised clustering of ordinal score over time revealed distinct disease course trajectories. Risk factors associated with prolonged hospitalization or death by day 28 included age ≥ 65 years (odds ratio [OR], 2.01; 95% CI 1.28-3.17), Hispanic ethnicity (OR, 1.71; 95% CI 1.13-2.57), elevated baseline creatinine (OR 2.80; 95% CI 1.63- 4.80) or troponin (OR 1.89; 95% 1.03-3.47), baseline lymphopenia (OR 2.19; 95% CI 1.61-2.97), presence of infiltrate by chest imaging (OR 3.16; 95% CI 1.96-5.10), and high SARS-CoV2 viral load (OR 1.53; 95% CI 1.17-2.00). Fatal cases had the lowest ratio of SARS-CoV-2 antibody to viral load levels compared to other trajectories over time (p=0.001). 589 survivors (51%) completed at least one survey at follow-up with 305 (52%) having at least one symptom consistent with PASC, most commonly dyspnea (56% among symptomatic patients). Female sex was the only associated risk factor for PASC.InterpretationIntegration of PCR cycle threshold, and antibody values with demographics, comorbidities, and laboratory/radiographic findings identified risk factors for 28-day outcome severity, though only female sex was associated with PASC. Longitudinal clinical phenotyping offers important insights, and provides a framework for immunophenotyping for acute and long COVID-19.FundingNIH.

Published
2022

8. Publisher Correction: Carbohydrate fatty acid monosulphate: oil-in-water adjuvant enhances SARS-CoV-2 RBD nanoparticle-induced immunogenicity and protection in mice

Author

Nanishi, Etsuro, Borriello, Francesco, Seo, Hyuk-Soo, O’Meara, Timothy R., McGrath, Marisa E., Saito, Yoshine, Chen, Jing, Diray-Arce, Joann, Song, Kijun, Xu, Andrew Z., Barman, Soumik, Menon, Manisha, Dong, Danica, Caradonna, Timothy M., Feldman, Jared, Hauser, Blake M., Schmidt, Aaron G., Baden, Lindsey R., Ernst, Robert K., Dillen, Carly, Yu, Jingyou, Chang, Aiquan, Hilgers, Luuk, Platenburg, Peter Paul, Dhe-Paganon, Sirano, Barouch, Dan H., Ozonoff, Al, Zanoni, Ivan, Frieman, Matthew B., Dowling, David J., and Levy, Ofer

Published
2023
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9. Carbohydrate fatty acid monosulphate: oil-in-water adjuvant enhances SARS-CoV-2 RBD nanoparticle-induced immunogenicity and protection in mice

Author

Nanishi, Etsuro, Borriello, Francesco, Seo, Hyuk-Soo, O’Meara, Timothy R., McGrath, Marisa E., Saito, Yoshine, Chen, Jing, Diray-Arce, Joann, Song, Kijun, Xu, Andrew Z., Barman, Soumik, Menon, Manisha, Dong, Danica, Caradonna, Timothy M., Feldman, Jared, Hauser, Blake M., Schmidt, Aaron G., Baden, Lindsey R., Ernst, Robert K., Dillen, Carly, Yu, Jingyou, Chang, Aiquan, Hilgers, Luuk, Platenburg, Peter Paul, Dhe-Paganon, Sirano, Barouch, Dan H., Ozonoff, Al, Zanoni, Ivan, Frieman, Matthew B., Dowling, David J., and Levy, Ofer

Published
2023
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10. Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study

Author

Rouphael, Nadine, Maecker, Holden, Montgomery, Ruth R, Diray-Arce, Joann, Kleinstein, Steven H, Altman, Matthew C, Bosinger, Steven E, Eckalbar, Walter, Guan, Leying, Hough, Catherine L, Krammer, Florian, Langelier, Charles, Levy, Ofer, McEnaney, Kerry, Peters, Bjoern, Rahman, Adeeb, Rajan, Jayant V, Sigelman, Steven, Steen, Hanno, van Bakel, Harm, Ward, Alyssa, Wilson, Michael R, Woodruff, Prescott, Zamecnik, Colin R, Augustine, Alison D, Ozonoff, Al, Reed, Elaine F, Becker, Patrice M, Higuita, Nelson Agudelo, Atkinson, Mark A, Baden, Lindsey R, Bime, Christian, Brakenridge, Scott C, Calfee, Carolyn S, Cairns, Charles B, Corry, David, Davis, Mark M, Ehrlich, Lauren IR, Haddad, Elias K, Erle, David J, Fernandez-Sesma, Ana, Hafler, David A, Kheradmand, Farrah, Kraft, Monica, McComsey, Grace A, Melamed, Esther, Messer, William, Metcalf, Jordan, Nadeau, Kari C, Pulendran, Bali, Sarwal, Minnie, Schaenman, Joanna, Sekaly, Rafick, Shaw, Albert C, and Simon, Viviana

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Biomarkers, COVID-19, Computational Biology, Data Analysis, Gene Expression Profiling, Hospitalization, Humans, Immunophenotyping, Longitudinal Studies, Molecular Diagnostic Techniques, Prospective Studies, Proteomics, SARS-CoV-2, United States, IMPACC Manuscript Writing Team, IMPACC Network Steering Committee, Clinical sciences, Immunology
Abstract

The IMmunoPhenotyping Assessment in a COVID-19 Cohort (IMPACC) is a prospective longitudinal study designed to enroll 1000 hospitalized patients with COVID-19 (NCT04378777). IMPACC collects detailed clinical, laboratory and radiographic data along with longitudinal biologic sampling of blood and respiratory secretions for in depth testing. Clinical and lab data are integrated to identify immunologic, virologic, proteomic, metabolomic and genomic features of COVID-19-related susceptibility, severity and disease progression. The goals of IMPACC are to better understand the contributions of pathogen dynamics and host immune responses to the severity and course of COVID-19 and to generate hypotheses for identification of biomarkers and effective therapeutics, including optimal timing of such interventions. In this report we summarize the IMPACC study design and protocols including clinical criteria and recruitment, multi-site standardized sample collection and processing, virologic and immunologic assays, harmonization of assay protocols, high-level analyses and the data sharing plans.

Published
2021

12. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients

Author

Abraham, James, Adkisson, Michael, Albert, Marisa, Altamirano, Luz Torres, Alvarenga, Bonny, Anderson, Matthew L., Anderson, Evan J., Arnett, Azlann, Asashima, Hiromitsu, Atkinson, Mark A., Baden, Lindsey R., Barton, Brenda, Beach, Katherine, Beagle, Elizabeth, Becker, Patrice M., Bell, Matthew R., Bernui, Mariana, Bime, Christian, Boddapati, Arun Kumar, Booth, J. Leland, Borresen, Brittney, Brakenridge, Scott C., Bristow, Laurel, Bryant, Robert, Calfee, Carolyn S., Carreño, Juan Manuel, Carrillo, Sidney, Chak, Suzanna, Chang, Iris, Connors, Jennifer, Conway, Michelle, Corry, David B., Cowan, David, Croen, Brett, Dela Cruz, Charles S., Cusimano, Gina, Eaker, Lily, Edwards, Carolyn, Ehrlich, Lauren I.R., Elashoff, David, Erickson, Heidi, Erle, David J., Farhadian, Shelli, Farrugia, Keith, Fatou, Benoit, Fernandes, Andrea, Fernandez-Sesma, Ana, Fragiadakis, Gabriela K., Furukawa, Sara, Geltman, Janelle N., Ghale, Rajani, Bermúdez González, Maria Carolina, Goonewardene, I. Michael, Guerrero, Estella Sanchez, Guirgis, Faheem W., Hafler, David A., Hamilton, Sydney, Harris, Paul, Hayati, Arash Nemati, Hendrickson, Carolyn M., Agudelo Higuita, Nelson I., Hodder, Thomas, Holland, Steven M., Hough, Catherine L., Huerta, Christopher, Hurley, Kerin C., Hutton, Scott R., Iwasaki, Akiko, Jauregui, Alejandra, Jha, Meenakshi, Johnson, Brandi, Joyner, David, Kangelaris, Kirsten N., Kelly, Geoffrey, Khalil, Zain, Khan, Zenab, Kheradmand, Farrah, Kim, James N., Kimura, Hiroki, Ko, Albert I., Kohr, Bernard, Kraft, Monica, Krummel, Matthew, Kutzler, Michele A., Lasky-Su, Jessica, Lee, Serena, Lee, Deanna, Leipold, Michael, Lentucci, Claudia, Leroux, Carolyn, Lin, Edward, Liu, Shanshan, Love, Christina, Lu, Zhengchun, Maliskova, Lenka, Manning, Brittany Roth, Manohar, Monali, Martens, Mark, McComsey, Grace A., McEnaney, Kerry, McLin, Renee, Melamed, Esther, Melnyk, Nataliya, Mendez, Kevin, Messer, William B., Metcalf, Jordan P., Michelotti, Gregory, Mick, Eran, Mohanty, Subhasis, Mosier, Jarrod, Mulder, Lubbertus C.F., Murphy, Maimouna, Nadeau, Kari R.C., Nelson, Ebony, Nelson, Allison, Nguyen, Viet, Oberhaus, Jordan, Panganiban, Bernadine, Pellegrini, Kathryn L., Pickering, Harry C., Powell, Debra L., Presnell, Scott, Pulendran, Bali, Rahman, Adeeb H., Rashid, Ahmad Sadeed, Raskin, Ariel, Reed, Elaine F., Ribeiro, Susan Pereira, Rivera, Adreanne M., Rogers, Jacob E., Rogers, Angela, Rogowski, Brandon, Rooks, Rebecca, Rosenberg-Hasson, Yael, Rothman, Jessica, Rousseau, Justin F., Salehi-Rad, Ramin, Saluvan, Mehmet, Samaha, Hady, Schaenman, Joanna, Schunk, Ron, Semenza, Nicholas C., Sen, Subha, Sevransky, Jonathan, Seyfert-Margolis, Vicki, Shaheen, Tanzia, Shaw, Albert C., Sieg, Scott, Siegel, Sarah A.R., Sigal, Natalia, Siles, Nadia, Simmons, Brent, Simon, Viviana, Singh, Gagandeep, Sinko, Lauren, Smith, Cecilia M., Smolen, Kinga K., Song, Li-Zhen, Srivastava, Komal, Sullivan, Peter, Syphurs, Caitlin, Tcheou, Johnstone, Tegos, George P., Tharp, Greg K., Tong, Alexandra, Tsitsiklis, Alexandra, Ungaro, Ricardo F., Vaysman, Tatyana, Viode, Arthur, Vita, Randi, Wang, Xiaomei, Ward, Alyssa, Ward, Dawn C., Willmore, Andrew, Woloszczuk, Kyra, Wong, Kari, Woodruff, Prescott G., Xu, Leqi, van Haren, Simon, van de Guchte, Adriana, Zhao, Yujiao, Diray-Arce, Joann, Fourati, Slim, Doni Jayavelu, Naresh, Patel, Ravi, Maguire, Cole, Chang, Ana C., Dandekar, Ravi, Qi, Jingjing, Lee, Brian H., van Zalm, Patrick, Schroeder, Andrew, Chen, Ernie, Konstorum, Anna, Brito, Anderson, Gygi, Jeremy P., Kho, Alvin, Chen, Jing, Pawar, Shrikant, Gonzalez-Reiche, Ana Silvia, Hoch, Annmarie, Milliren, Carly E., Overton, James A., Westendorf, Kerstin, Cairns, Charles B., Rouphael, Nadine, Bosinger, Steven E., Kim-Schulze, Seunghee, Krammer, Florian, Rosen, Lindsey, Grubaugh, Nathan D., van Bakel, Harm, Wilson, Michael, Rajan, Jayant, Steen, Hanno, Eckalbar, Walter, Cotsapas, Chris, Langelier, Charles R., Levy, Ofer, Altman, Matthew C., Maecker, Holden, Montgomery, Ruth R., Haddad, Elias K., Sekaly, Rafick P., Esserman, Denise, Ozonoff, Al, Augustine, Alison D., Guan, Leying, Peters, Bjoern, and Kleinstein, Steven H.

Published
2023
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15. Surveillance of Health Care-Associated Violence Using Natural Language Processing.

Author

Waltzman, Mark, Ozonoff, Al, Fournier, Kerri Ann, Welcher, Jennifer, Milliren, Carly, Landschaft, Assaf, Bulis, Jonathan, and Kimia, Amir A.

Subjects
*FAMILIES & psychology, *PEDIATRIC nurses, *PATIENTS' families, *SELF-evaluation, *MEDICAL personnel, *RESEARCH funding, *ACADEMIC medical centers, *VIOLENCE against medical personnel, *NURSING records, *HOSPITAL nursing staff, *PILOT projects, *NATURAL language processing, *VIOLENCE in the workplace, *CHILDREN'S hospitals, *RETROSPECTIVE studies, *TERTIARY care, *HOSPITALS, *DESCRIPTIVE statistics, *INFORMATION technology, *WORKFLOW, *PATIENT-professional relations, *MEDICAL records, *ACQUISITION of data, *URBAN hospitals, *CONFIDENCE intervals, *RESOURCE-limited settings, *SENSITIVITY & specificity (Statistics)
Abstract

BACKGROUND AND OBJECTIVES: Patient and family violent outbursts toward staff, caregivers, or through self-harm, have increased during the ongoing behavioral health crisis. These health care-associated violence (HAV) episodes are likely under-reported. We sought to assess the feasibility of using nursing notes to identify under-reported HAV episodes. METHODS: We extracted nursing notes across inpatient units at 2 hospitals for 2019: a pediatric tertiary care center and a community-based hospital. We used a workflow for narrative data processing using a natural language processing (NLP) assisted manual review process performed by domain experts (a nurse and a physician). We trained the NLP models on the tertiary care center data and validated it on the community hospital data. Finally, we applied these surveillance methods to real-time data for 2022 to assess reporting completeness of new cases. RESULTS: We used 70 981 notes from the tertiary care center for model building and internal validation and 19 332 notes from the community hospital for external validation. The final community hospital model sensitivity was 96.8% (95% CI 90.6% to 100%) and a specificity of 47.1% (39.6% to 54.6%) compared with manual review. We identified 31 HAV episodes in July to December 2022, of which 26 were reportable in accordance with the hospital internal criteria. Only 7 of 26 cases were reported by employees using the self-reporting system, all of which were identified by our surveillance process. CONCLUSIONS: NLP-assisted review is a feasible method for surveillance of under-reported HAV episodes, with implementation and usability that can be achieved even at a low information technology-resourced hospital setting. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Multicohort Retrospective Validation of a Predictive Biomarker for Topoisomerase I Inhibitors

Author

Ando, Koji, Ozonoff, Al, Lee, Shin-Yin, Voisine, Michael, Parker, Julian-Taylor, Nakanishi, Ryota, Nishimura, Sho, Yang, Jing, Grace, Zhao, Tran, Ben, Diefenbach, Thomas J., Maehara, Yoshihiko, Yasui, Hiroshi, Irino, Tomoyuki, Salgia, Ravi, Terashima, Masanori, Gibbs, Peter, Ramanathan, Ramesh K., Oki, Eiji, Mori, Masaki, Kulke, Matthew, Hartshorn, Kevan, and Bharti, Ajit

Published
2021
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22. Increased Pediatric Respiratory Syncytial Virus Case Counts Following the Emergence of SARS-CoV-2 Can Be Attributed to Changes in Testing.

Author

Petros, Brittany A, Milliren, Carly E, Sabeti, Pardis C, and Ozonoff, Al

Subjects
VIRAL load, RESEARCH funding, HOSPITAL care, RESPIRATORY syncytial virus infections, RETROSPECTIVE studies, CHILDREN'S hospitals, DESCRIPTIVE statistics, AGE distribution, PEDIATRICS, INTENSIVE care units, ARTIFICIAL respiration, RESEARCH, CONFIDENCE intervals, COVID-19 pandemic
Abstract

Background Respiratory syncytial virus (RSV) circulation dropped markedly early in the COVID-19 pandemic, followed by a resurgence with heightened case counts. The "immunity debt" hypothesis proposes that the RSV-naїve pediatric population increased during the period of low transmission. However, the evidence supporting this hypothesis is limited, and the role of changing testing practices in the perceived surge has not been comprehensively evaluated. Methods We conducted a multicenter, retrospective analysis of 342 530 RSV encounters and 980 546 RSV diagnostic tests occurring at 32 US pediatric hospitals in 2013–2023. We used interrupted time series analysis to estimate pandemic-associated changes in RSV patient and test volume and to quantify changes in the proportions of patients requiring hospitalization, intensive care, or mechanical ventilation. We quantified the fraction of the shifts in case counts and in the age of diagnosed patients attributable to changes in testing. Results RSV patient volume increased 2.4-fold (95% confidence interval [CI]: 1.7, 3.5) in 2021–2023 relative to the pre-pandemic phase and was accompanied by an 18.9-fold increase (95% CI: 15.0, 23.9) in RSV test volume. Shifts in patient volume and in patient age were largely attributable to increased testing. The proportions of patients with RSV that required hospitalization, intensive care, or mechanical ventilation declined significantly across all patient age groups. Conclusions A surge in RSV testing, rather than in viral circulation, likely underlies the increased case counts observed in 2021–2023. These findings warrant a critical assessment of the immunity debt hypothesis and highlight the importance of considering the testing denominator when surveillance strategies are dynamic. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Host-Microbe Multi-omic Profiling Identifies a Unique Program of COVID-19 Inflammatory Dysregulation in Solid Organ Transplant Recipients

Author

Langelier, Charles, primary, Pickering, Harry, additional, Schaenman, Joanna, additional, Phan, Hoang, additional, Maguire, Cole, additional, Tsitsiklis, Alexandra, additional, Rouphael, Nadine, additional, Higuita, Nelson, additional, Atkinson, Mark, additional, Breckenridge, Scott, additional, Fung, Monica, additional, Messer, William, additional, Network, IMPACC, additional, Salehi-rad, Ramin, additional, Altman, Matthew, additional, Becker, Patrice, additional, Bosinger, Steven, additional, Eckalbar, Walter, additional, Hoch, Annmarie, additional, Jayavelu, Naresh, additional, Kim-Schulze, Seunghee, additional, Jenkins, Meagan, additional, Kleinstein, Steven, additional, Krammer, Florian, additional, Maecker, Holden, additional, Ozonoff, Al, additional, Diray-Arce, Joann, additional, Shaw, Albert, additional, Baden, Lindsey, additional, Levy, Ofer, additional, and Reed, Elaine, additional

Published
2023
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27. Corrigendum to “Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: results from the IMPACC study” [eBioMedicine 83 (2022) 104208]

Author

Ozonoff, Al, primary, Schaenman, Joanna, additional, Jayavelu, Naresh Doni, additional, Milliren, Carly E., additional, Calfee, Carolyn S., additional, Cairns, Charles B., additional, Kraft, Monica, additional, Baden, Lindsey R., additional, Shaw, Albert C., additional, Krammer, Florian, additional, van Bakel, Harm, additional, Esserman, Denise A., additional, Liu, Shanshan, additional, Sesma, Ana Fernandez, additional, Simon, Viviana, additional, Hafler, David A., additional, Montgomery, Ruth R., additional, Kleinstein, Steven H., additional, Levy, Ofer, additional, Bime, Chris, additional, Haddad, Elias K., additional, Erle, David J., additional, Pulendran, Bali, additional, Nadeau, Kari C., additional, Davis, Mark M., additional, Hough, Catherine L., additional, Messer, William B., additional, Agudelo Higuita, Nelson I., additional, Metcalf, Jordan P., additional, Atkinson, Mark A., additional, Brakenridge, Scott C., additional, Corry, David, additional, Kheradmand, Farrah, additional, Ehrlich, Lauren I.R., additional, Melamed, Esther, additional, McComsey, Grace A., additional, Sekaly, Rafick, additional, Diray-Arce, Joann, additional, Peters, Bjoern, additional, Augustine, Alison D., additional, Reed, Elaine F., additional, Altman, Matthew C., additional, Becker, Patrice M., additional, and Rouphael, Nadine, additional

Published
2023
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28. Integrated longitudinal multi-omics study identifies immune programs associated with COVID-19 severity and mortality in 1152 hospitalized participants

Author

Gygi, Jeremy P., primary, Maguire, Cole, additional, Patel, Ravi K., additional, Shinde, Pramod, additional, Konstorum, Anna, additional, Shannon, Casey P., additional, Xu, Leqi, additional, Hoch, Annmarie, additional, Jayavelu, Naresh Doni, additional, Network, IMPACC, additional, Haddad, Elias K., additional, Reed, Elaine F., additional, Kraft, Monica, additional, McComsey, Grace A., additional, Metcalf, Jordan, additional, Ozonoff, Al, additional, Esserman, Denise, additional, Cairns, Charles B., additional, Rouphael, Nadine, additional, Bosinger, Steven E., additional, Kim-Schulze, Seunghee, additional, Krammer, Florian, additional, Rosen, Lindsey B., additional, van Bakel, Harm, additional, Wilson, Michael, additional, Eckalbar, Walter, additional, Maecker, Holden, additional, Langelier, Charles R., additional, Steen, Hanno, additional, Altman, Matthew C., additional, Montgomery, Ruth R., additional, Levy, Ofer, additional, Melamed, Esther, additional, Pulendran, Bali, additional, Diray-Arce, Joann, additional, Smolen, Kinga K., additional, Fragiadakis, Gabriela K., additional, Becker, Patrice M., additional, Augustine, Alison D., additional, Sekaly, Rafick P., additional, Ehrlich, Lauren I. R., additional, Fourati, Slim, additional, Peters, Bjoern, additional, Kleinstein, Steven H., additional, and Guan, Leying, additional

Published
2023
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29. Inferring Viral Transmission Pathways from Within-Host Variation

Author

Specht, Ivan O. A., primary, Petros, Brittany A., additional, Moreno, Gage K., additional, Brock-Fisher, Taylor, additional, Krasilnikova, Lydia A., additional, Schifferli, Mark, additional, Yang, Katherine, additional, Cronan, Paul, additional, Glennon, Olivia, additional, Schaffner, Stephen F., additional, Park, Daniel J., additional, MacInnis, Bronwyn L., additional, Ozonoff, Al, additional, Fry, Ben, additional, Mitzenmacher, Michael D., additional, Varilly, Patrick, additional, and Sabeti, Pardis C., additional

Published
2023
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36. IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition.

Author

Haslund-Gourley, Benjamin S., Woloszczuk, Kyra, Hou, Jintong, Connors, Jennifer, Cusimano, Gina, Bell, Mathew, Taramangalam, Bhavani, Fourati, Slim, Mege, Nathan, Bernui, Mariana, Altman, Matthew C., Krammer, Florian, van Bakel, Harm, Ozonoff, Al, Ehrlich, Lauren I. R., Melamed, Esther, Sesma, Ana Fernandez, Simon, Viviana, Pulendran, Bali, and Nadeau, Kari C.

Subjects
SARS-CoV-2, IMMUNOGLOBULIN M, COVID-19
Abstract

The glycosylation of IgG plays a critical role during human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, activating immune cells and inducing cytokine production. However, the role of IgM N-glycosylation has not been studied during human acute viral infection. The analysis of IgM N-glycosylation from healthy controls and hospitalized coronavirus disease 2019 (COVID-19) patients reveals increased high-mannose and sialylation that correlates with COVID-19 severity. These trends are confirmed within SARS-CoV-2-specific immunoglobulin N-glycan profiles. Moreover, the degree of total IgM mannosylation and sialylation correlate significantly with markers of disease severity. We link the changes of IgM N-glycosylation with the expression of Golgi glycosyltransferases. Lastly, we observe antigen-specific IgM antibody-dependent complement deposition is elevated in severe COVID-19 patients and modulated by exoglycosidase digestion. Taken together, this work links the IgM N-glycosylation with COVID-19 severity and highlights the need to understand IgM glycosylation and downstream immune function during human disease. The role of IgG glycosylation in the immune response has been studied, but less is known about IgM glycosylation. Here the authors characterize glycosylation of SARS-CoV-2 spike specific IgM and show that it correlates with COVID-19 severity and affects complement deposition. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients

Author

Diray-Arce, Joann, primary, Fourati, Slim, additional, Jayavelu, Naresh Doni, additional, Patel, Ravi, additional, Maguire, Cole, additional, Chang, Ana C., additional, Dandekar, Ravi, additional, Qi, Jingjing, additional, Lee, Brian, additional, van Zalm, Patrick, additional, Schroeder, Andrew, additional, Chen, Ernie, additional, Konstorum, Anna, additional, Brito, Anderson, additional, Gygi, Jeremy P., additional, Kho, Alvin, additional, Chen, Jing, additional, Pawar, Shrikant, additional, Gonzalez-Reiche, Ana Silvia, additional, Hoch, Annmarie, additional, Milliren, Carly E., additional, Overton, James A., additional, Westendorf, Kerstin, additional, Cairns, Charles B., additional, Rouphael, Nadine, additional, Bosinger, Steven, additional, Kim-Schulze, Seunghee, additional, Krammer, Florian, additional, Rosen, Lindsey, additional, Grubaugh, Nathan, additional, van Bakel, Harm, additional, Wilson, Michael, additional, Rajan, Jayant, additional, Steen, Hanno, additional, Eckalbar, Walter, additional, Cotsapas, Chris, additional, Langelier, Charles R., additional, Levy, Ofer, additional, Altman, Matthew C., additional, Maecker, Holden, additional, Montgomery, Ruth R., additional, Haddad, Elias K., additional, Sekaly, Rafick P., additional, Esserman, Denise, additional, Ozonoff, Al, additional, Becker, Patrice M., additional, Augustine, Alison D., additional, Guan, Leying, additional, Peters, Bjoern, additional, and Kleinstein, Steven H., additional

Published
2023
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39. Comparative Impact Analysis of Low-Deductible Insurance Versus In-house Hospital Assumption of Risk and Management on Medical Malpractice Claims

Author

Vetrugno, Giuseppe, primary, Grassi, Simone, additional, Foti, Federica, additional, Siodambro, Chiara, additional, Grassi, Vincenzo M., additional, Conte, Celeste, additional, Ghisellini, Renato, additional, De-Giorgio, Fabio, additional, Ausania, Francesco, additional, Cittadini, Francesca, additional, Rossi, Riccardo, additional, Morte, Gabriele Della, additional, Caputo, Matteo, additional, Pascali, Vincenzo L., additional, Ozonoff, Al, additional, and Oliva, Antonio, additional

Published
2023
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42. Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients

Author

Diray-Arce, Joann, Fourati, Slim, Doni Jayavelu, Naresh, Patel, Ravi, Maguire, Cole, Chang, Ana C, Dandekar, Ravi, Qi, Jingjing, Lee, Brian H, van Zalm, Patrick, Schroeder, Andrew, Chen, Ernie, Konstorum, Anna, Brito, Anderson, Gygi, Jeremy P, Kho, Alvin, Chen, Jing, Pawar, Shrikant, Gonzalez-Reiche, Ana Silvia, Hoch, Annmarie, Milliren, Carly E, Overton, James A, Westendorf, Kerstin, IMPACC Network, Cairns, Charles B, Rouphael, Nadine, Bosinger, Steven E, Kim-Schulze, Seunghee, Krammer, Florian, Rosen, Lindsey, Grubaugh, Nathan D, van Bakel, Harm, Wilson, Michael, Rajan, Jayant, Steen, Hanno, Eckalbar, Walter, Cotsapas, Chris, Langelier, Charles R, Levy, Ofer, Altman, Matthew C, Maecker, Holden, Montgomery, Ruth R, Haddad, Elias K, Sekaly, Rafick P, Esserman, Denise, Ozonoff, Al, Becker, Patrice M, Augustine, Alison D, Guan, Leying, Peters, Bjoern, and Kleinstein, Steven H

Subjects
screening and diagnosis, IMPACC Network, SARS-CoV-2, longitudinal modeling, Prevention, COVID-19, systems immunology, multi-omics, Multiomics, 4.1 Discovery and preclinical testing of markers and technologies, Detection, Rare Diseases, Good Health and Well Being, immunophenotyping, Clinical Research, Disease Progression, Humans, 2.1 Biological and endogenous factors, Longitudinal Studies, Aetiology
Abstract

The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28days), ranging from milder (TG1-3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72h of hospital admission that distinguish moderate from severe and fatal COVID-19 disease. Importantly, cellular and molecular states also distinguish participants with more severe disease that recover or stabilize within 28days from those that progress to fatal outcomes (TG4 vs. TG5). Furthermore, our longitudinal design reveals that these biologic states display distinct temporal patterns associated with clinical outcomes. Characterizing host immune responses in relation to heterogeneity in disease course may inform clinical prognosis and opportunities for intervention.

Published
2023

46. Viral Lineages in the 2022 RSV Surge in the United States

Author

Adams, Gordon, primary, Moreno, Gage K., additional, Petros, Brittany A., additional, Uddin, Rockib, additional, Levine, Zoe, additional, Kotzen, Ben, additional, Messer, Katelyn S., additional, Dobbins, Sabrina T., additional, DeRuff, Katherine C., additional, Loreth, Christine M., additional, Brock-Fisher, Taylor, additional, Schaffner, Stephen F., additional, Chaluvadi, Sushma, additional, Kanjilal, Sanjat, additional, Luban, Jeremy, additional, Ozonoff, Al, additional, Park, Daniel J., additional, Turbett, Sarah E., additional, Siddle, Katherine J., additional, MacInnis, Bronwyn L., additional, Sabeti, Pardis C., additional, and Lemieux, Jacob E., additional

Published
2023
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47. The 2022 RSV surge was driven by multiple viral lineages

Author

Adams, Gordon, primary, Moreno, Gage K., additional, Petros, Brittany A., additional, Uddin, Rockib, additional, Levine, Zoe, additional, Kotzen, Ben, additional, Messer, Katelyn, additional, Dobbins, Sabrina T., additional, DeRuff, Katherine C., additional, Loreth, Christine, additional, Brock-Fisher, Taylor, additional, Schaffner, Stephen F., additional, Chaluvadi, Sushma, additional, Kanjilal, Sanjat, additional, Luban, Jeremy, additional, Ozonoff, Al, additional, Park, Daniel, additional, Turbett, Sarah, additional, Siddle, Katherine J., additional, MacInnis, Bronwyn L., additional, Sabeti, Pardis, additional, and Lemieux, Jacob, additional

Published
2023
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48. Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study

Author

Ozonoff, Al, primary, Schaenman, Joanna, additional, Jayavelu, Naresh Doni, additional, Milliren, Carly E., additional, Calfee, Carolyn S., additional, Cairns, Charles B., additional, Kraft, Monica, additional, Baden, Lindsey R., additional, Shaw, Albert C., additional, Krammer, Florian, additional, van Bakel, Harm, additional, Esserman, Denise A., additional, Liu, Shanshan, additional, Sesma, Ana Fernandez, additional, Simon, Viviana, additional, Hafler, David A., additional, Montgomery, Ruth R., additional, Kleinstein, Steven H., additional, Levy, Ofer, additional, Bime, Christian, additional, Haddad, Elias K., additional, Erle, David J., additional, Pulendran, Bali, additional, Nadeau, Kari C., additional, Davis, Mark M., additional, Hough, Catherine L., additional, Messer, William B., additional, Higuita, Nelson I. Agudelo, additional, Metcalf, Jordan P., additional, Atkinson, Mark A., additional, Brakenridge, Scott C., additional, Corry, David, additional, Kheradmand, Farrah, additional, Ehrlich, Lauren I.R., additional, Melamed, Esther, additional, McComsey, Grace A., additional, Sekaly, Rafick, additional, Diray-Arce, Joann, additional, Peters, Bjoern, additional, Augustine, Alison D., additional, Reed, Elaine F., additional, Altman, Matthew C., additional, Becker, Patrice M., additional, Rouphael, Nadine, additional, Ozonoff, Al, additional, Bime, Chris, additional, Davis, Mark M, additional, McEnaney, Kerry, additional, Barton, Brenda, additional, Lentucci, Claudia, additional, Saluvan, Mehmet, additional, Chang, Ana C., additional, Hoch, Annmarie, additional, Albert, Marisa, additional, Shaheen, Tanzia, additional, Kho, Alvin T., additional, Thomas, Sanya, additional, Chen, Jing, additional, Murphy, Maimouna D., additional, Cooney, Mitchell, additional, Presnell, Scott, additional, Fragiadakis, Gabriela K., additional, Patel, Ravi, additional, Guan, Leying, additional, Gygi, Jeremy, additional, Pawar, Shrikant, additional, Brito, Anderson, additional, Khalil, Zain, additional, Maguire, Cole, additional, Fourati, Slim, additional, Overton, James A., additional, Vita, Randi, additional, Westendorf, Kerstin, additional, Salehi-Rad, Ramin, additional, Leligdowicz, Aleksandra, additional, Matthay, Michael A., additional, Singer, Jonathan P., additional, Kangelaris, Kirsten N., additional, Hendrickson, Carolyn M., additional, Krummel, Matthew F., additional, Langelier, Charles R., additional, Woodruff, Prescott G., additional, Powell, Debra L., additional, Kim, James N., additional, Simmons, Brent, additional, Goonewardene, I. Michael, additional, Smith, Cecilia M., additional, Martens, Mark, additional, Mosier, Jarrod, additional, Kimura, Hiroki, additional, Sherman, Amy C., additional, Walsh, Stephen R., additional, Issa, Nicolas C., additional, Dela Cruz, Charles, additional, Farhadian, Shelli, additional, Iwasaki, Akiko, additional, Ko, Albert I., additional, Chinthrajah, Sharon, additional, Ahuja, Neera, additional, Rogers, Angela J., additional, Artandi, Maja, additional, Siegel, Sarah A.R., additional, Lu, Zhengchun, additional, Drevets, Douglas A., additional, Brown, Brent R., additional, Anderson, Matthew L., additional, Guirgis, Faheem W., additional, Thyagarajan, Rama V., additional, Rousseau, Justin F., additional, Wylie, Dennis, additional, Busch, Johanna, additional, Gandhi, Saurin, additional, Triplett, Todd A., additional, Yendewa, George, additional, Giddings, Olivia, additional, Anderson, Evan J., additional, Mehta, Aneesh K., additional, Sevransky, Jonathan E., additional, Khor, Bernard, additional, Rahman, Adeeb, additional, Stadlbauer, Daniel, additional, Dutta, Jayeeta, additional, Xie, Hui, additional, Kim-Schulze, Seunghee, additional, Gonzalez-Reiche, Ana Silvia, additional, van de Guchte, Adriana, additional, Farrugia, Keith, additional, Khan, Zenab, additional, Maecker, Holden T., additional, Elashoff, David, additional, Brook, Jenny, additional, Ramires-Sanchez, Estefania, additional, Llamas, Megan, additional, Rivera, Adreanne, additional, Perdomo, Claudia, additional, Ward, Dawn C., additional, Magyar, Clara E., additional, Fulcher, Jennifer A., additional, Abe-Jones, Yumiko, additional, Asthana, Saurabh, additional, Beagle, Alexander, additional, Bhide, Sharvari, additional, Carrillo, Sidney A., additional, Chak, Suzanna, additional, Ghale, Rajani, additional, Gonzalez, Ana, additional, Jauregui, Alejandra, additional, Jones, Norman, additional, Lea, Tasha, additional, Lee, Deanna, additional, Lota, Raphael, additional, Milush, Jeff, additional, Nguyen, Viet, additional, Pierce, Logan, additional, Prasad, Priya A., additional, Rao, Arjun, additional, Samad, Bushra, additional, Shaw, Cole, additional, Sigman, Austin, additional, Sinha, Pratik, additional, Ward, Alyssa, additional, Willmore, Andrew, additional, Zhan, Jenny, additional, Rashid, Sadeed, additional, Rodriguez, Nicklaus, additional, Tang, Kevin, additional, Altamirano, Luz Torres, additional, Betancourt, Legna, additional, Curiel, Cindy, additional, Sutter, Nicole, additional, Paz, Maria Tercero, additional, Tietje-Ulrich, Gayelan, additional, Leroux, Carolyn, additional, Connors, Jennifer, additional, Bernui, Mariana, additional, Kutzler, Michel A., additional, Edwards, Carolyn, additional, Lee, Edward, additional, Lin, Edward, additional, Croen, Brett, additional, Semenza, Nicholas C., additional, Rogowski, Brandon, additional, Melnyk, Nataliya, additional, Woloszczuk, Kyra, additional, Cusimano, Gina, additional, Bell, Mathew R., additional, Furukawa, Sara, additional, McLin, Renee, additional, Marrero, Pamela, additional, Sheidy, Julie, additional, Tegos, George P., additional, Nagle, Crystal, additional, Mege, Nathan, additional, Ulring, Kristen, additional, Seyfert-Margolis, Vicki, additional, Conway, Michelle, additional, Francisco, Dave, additional, Molzahn, Allyson, additional, Erickson, Heidi, additional, Wilson, Connie Cathleen, additional, Schunk, Ron, additional, Sierra, Bianca, additional, Hughes, Trina, additional, Smolen, Kinga, additional, Desjardins, Michael, additional, van Haren, Simon, additional, Mitre, Xhoi, additional, Cauley, Jessica, additional, Li, Xiaofang, additional, Tong, Alexandra, additional, Evans, Bethany, additional, Montesano, Christina, additional, Licona, Jose Humberto, additional, Krauss, Jonathan, additional, Chang, Jun Bai Park, additional, Izaguirre, Natalie, additional, Chaudhary, Omkar, additional, Coppi, Andreas, additional, Fournier, John, additional, Mohanty, Subhasis, additional, Muenker, M. Catherine, additional, Nelson, Allison, additional, Raddassi, Khadir, additional, Rainone, Michael, additional, Ruff, William E., additional, Salahuddin, Syim, additional, Schulz, Wade L., additional, Vijayakumar, Pavithra, additional, Wang, Haowei, additional, Wunder Jr., Elsio, additional, Young, H. Patrick, additional, Zhao, Yujiao, additional, Saksena, Miti, additional, Altman, Deena, additional, Kojic, Erna, additional, Srivastava, Komal, additional, Eaker, Lily Q., additional, Bermúdez-González, Maria C., additional, Beach, Katherine F., additional, Sominsky, Levy A., additional, Azad, Arman R., additional, Carreño, Juan Manuel, additional, Singh, Gagandeep, additional, Raskin, Ariel, additional, Tcheou, Johnstone, additional, Bielak, Dominika, additional, Kawabata, Hisaaki, additional, Mulder, Lubbertus CF, additional, Kleiner, Giulio, additional, Lee, Alexandra S., additional, Do, Evan Do, additional, Fernandes, Andrea, additional, Manohar, Monali, additional, Hagan, Thomas, additional, Blish, Catherine A., additional, Din, Hena Naz, additional, Roque, Jonasel, additional, Yang, Samuel, additional, Brunton, Amanda, additional, Sullivan, Peter E., additional, Strnad, Matthew, additional, Lyski, Zoe L., additional, Coulter, Felicity J., additional, Booth, J. Leland, additional, Sinko, Lauren A., additional, Moldawer, Lyle L., additional, Borresen, Brittany, additional, Roth-Manning, Brittney, additional, Song, Li-Zhen, additional, Nelson, Ebony, additional, Lewis-Smith, Megan, additional, Smith, Jacob, additional, Tipan, Pablo Guaman, additional, Siles, Nadia, additional, Bazzi, Sam, additional, Geltman, Janelle, additional, Hurley, Kerin, additional, Gabriele, Gio, additional, Sieg, Scott, additional, Vaysman, Tatyana, additional, Bristow, Laurel, additional, Hussaini, Laila, additional, Hellmeister, Kieffer, additional, Samaha, Hady, additional, Cheng, Andrew, additional, Spainhour, Christine, additional, Scherer, Erin M., additional, Johnson, Brandi, additional, Bechnak, Amer, additional, Ciric, Caroline R., additional, Hewitt, Lauren, additional, Carter, Erin, additional, Mcnair, Nina, additional, Panganiban, Bernadine, additional, Huerta, Christopher, additional, Usher, Jacob, additional, and Ribeiro, Susan Pereira, additional

Published
2022
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