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10.3389/fimmu.2021.677025

http://scihub22266oqcxt.onion/10.3389/fimmu.2021.677025
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suck abstract from ncbi


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pmid34504487      Front+Immunol 2021 ; 12 (ä): 677025
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  • Biomarkers and Immune Repertoire Metrics Identified by Peripheral Blood Transcriptomic Sequencing Reveal the Pathogenesis of COVID-19 #MMPMID34504487
  • Liu Y; Wu Y; Liu B; Zhang Y; San D; Chen Y; Zhou Y; Yu L; Zeng H; Zhou Y; Zhou F; Yang H; Yin L; Huang Y
  • Front Immunol 2021[]; 12 (ä): 677025 PMID34504487show ga
  • The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a global crisis; however, our current understanding of the host immune response to SARS-CoV-2 infection remains limited. Herein, we performed RNA sequencing using peripheral blood from acute and convalescent patients and interrogated the dynamic changes of adaptive immune response to SARS-CoV-2 infection over time. Our results revealed numerous alterations in these cohorts in terms of gene expression profiles and the features of immune repertoire. Moreover, a machine learning method was developed and resulted in the identification of five independent biomarkers and a collection of biomarkers that could accurately differentiate and predict the development of COVID-19. Interestingly, the increased expression of one of these biomarkers, UCHL1, a molecule related to nervous system damage, was associated with the clustering of severe symptoms. Importantly, analyses on immune repertoire metrics revealed the distinct kinetics of T-cell and B-cell responses to SARS-CoV-2 infection, with B-cell response plateaued in the acute phase and declined thereafter, whereas T-cell response can be maintained for up to 6 months post-infection onset and T-cell clonality was positively correlated with the serum level of anti-SARS-CoV-2 IgG. Together, the significantly altered genes or biomarkers, as well as the abnormally high levels of B-cell response in acute infection, may contribute to the pathogenesis of COVID-19 through mediating inflammation and immune responses, whereas prolonged T-cell response in the convalescents might help these patients in preventing reinfection. Thus, our findings could provide insight into the underlying molecular mechanism of host immune response to COVID-19 and facilitate the development of novel therapeutic strategies and effective vaccines.
  • |*Transcriptome[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Antibodies, Viral/blood[MESH]
  • |B-Lymphocytes/immunology[MESH]
  • |Biomarkers/blood[MESH]
  • |COVID-19/blood/*genetics/*immunology/virology[MESH]
  • |China[MESH]
  • |Cohort Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Leukocytes, Mononuclear/*chemistry/immunology[MESH]
  • |Machine Learning[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |SARS-CoV-2/physiology[MESH]
  • |Sequence Analysis, RNA[MESH]
  • |T-Lymphocytes/immunology[MESH]


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