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Your search keyword '"Kornilov, Sergey A."' showing total 2 results
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2 results on '"Kornilov, Sergey A."'

1. Multiple early factors anticipate post-acute COVID-19 sequelae

Author

Su, Yapeng, Yuan, Dan, Chen, Daniel G, Ng, Rachel H, Wang, Kai, Choi, Jongchan, Li, Sarah, Hong, Sunga, Zhang, Rongyu, Xie, Jingyi, Kornilov, Sergey A, Scherler, Kelsey, Pavlovitch-Bedzyk, Ana Jimena, Dong, Shen, Lausted, Christopher, Lee, Inyoul, Fallen, Shannon, Dai, Chengzhen L, Baloni, Priyanka, Smith, Brett, Duvvuri, Venkata R, Anderson, Kristin G, Li, Jing, Yang, Fan, Duncombe, Caroline J, McCulloch, Denise J, Rostomily, Clifford, Troisch, Pamela, Zhou, Jing, Mackay, Sean, DeGottardi, Quinn, May, Damon H, Taniguchi, Ruth, Gittelman, Rachel M, Klinger, Mark, Snyder, Thomas M, Roper, Ryan, Wojciechowska, Gladys, Murray, Kim, Edmark, Rick, Evans, Simon, Jones, Lesley, Zhou, Yong, Rowen, Lee, Liu, Rachel, Chour, William, Algren, Heather A, Berrington, William R, Wallick, Julie A, Cochran, Rebecca A, Micikas, Mary E, Unit, the ISB-Swedish COVID-19 Biobanking, Wrin, Terri, Petropoulos, Christos J, Cole, Hunter R, Fischer, Trevan D, Wei, Wei, Hoon, Dave SB, Price, Nathan D, Subramanian, Naeha, Hill, Joshua A, Hadlock, Jennifer, Magis, Andrew T, Ribas, Antoni, Lanier, Lewis L, Boyd, Scott D, Bluestone, Jeffrey A, Chu, Helen, Hood, Leroy, Gottardo, Raphael, Greenberg, Philip D, Davis, Mark M, Goldman, Jason D, and Heath, James R

Subjects
Clinical Research, Prevention, Infectious Diseases, Good Health and Well Being, Adaptive Immunity, Adolescent, Adult, Aged, Aged, 80 and over, Autoantibodies, Biomarkers, Blood Proteins, CD8-Positive T-Lymphocytes, COVID-19, Convalescence, Disease Progression, Female, Humans, Immunity, Innate, Longitudinal Studies, Male, Middle Aged, Risk Factors, SARS-CoV-2, Transcriptome, Young Adult, Post-Acute COVID-19 Syndrome, ISB-Swedish COVID-19 Biobanking Unit, PASC, RNAemia, antibodies, auto-antibodies, computational biology, immune system, immunology, long COVID, metabolomics, multi-omics, proteomics, single cell, single-cell CITE-seq, single-cell RNA-seq, single-cell TCR-seq, single-cell secretome, symptoms, transcriptome, viremia, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific auto-antibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes, exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time, leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.

Published
2022

2. Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19

Author

Su, Yapeng, Chen, Daniel, Yuan, Dan, Lausted, Christopher, Choi, Jongchan, Dai, Chengzhen L, Voillet, Valentin, Duvvuri, Venkata R, Scherler, Kelsey, Troisch, Pamela, Baloni, Priyanka, Qin, Guangrong, Smith, Brett, Kornilov, Sergey A, Rostomily, Clifford, Xu, Alex, Li, Jing, Dong, Shen, Rothchild, Alissa, Zhou, Jing, Murray, Kim, Edmark, Rick, Hong, Sunga, Heath, John E, Earls, John, Zhang, Rongyu, Xie, Jingyi, Li, Sarah, Roper, Ryan, Jones, Lesley, Zhou, Yong, Rowen, Lee, Liu, Rachel, Mackay, Sean, O’Mahony, D Shane, Dale, Christopher R, Wallick, Julie A, Algren, Heather A, Zager, Michael A, Unit, the ISB-Swedish COVID19 Biobanking, Wei, Wei, Price, Nathan D, Huang, Sui, Subramanian, Naeha, Wang, Kai, Magis, Andrew T, Hadlock, Jenn J, Hood, Leroy, Aderem, Alan, Bluestone, Jeffrey A, Lanier, Lewis L, Greenberg, Philip D, Gottardo, Raphael, Davis, Mark M, Goldman, Jason D, and Heath, James R

Subjects
Infectious Diseases, Clinical Research, Prevention, Inflammatory and immune system, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, COVID-19, Female, Genomics, Humans, Male, Middle Aged, RNA-Seq, SARS-CoV-2, Severity of Illness Index, Single-Cell Analysis, ISB-Swedish COVID19 Biobanking Unit, CITE-seq, immune response, infection, metabolomics, multi-omics, proteomics, single-cell RNA-seq, single-cell TCR-seq, single-cell secretome, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention.

Published
2020

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