Identification of COVID-19 subtypes based on immunogenomic profiling

التفاصيل البيبلوغرافية
العنوان: Identification of COVID-19 subtypes based on immunogenomic profiling
المؤلفون: Qiushi Feng, Zuobing Chen, Xiaosheng Wang, Tianfang Zhang
المصدر: International Immunopharmacology
سنة النشر: 2021
مصطلحات موضوعية: 0301 basic medicine, Male, Treg, Regulatory T cells, animal diseases, Tfh, T follicular helper cells, MVS, Mechanical ventilatory support, 0302 clinical medicine, NK, Natural killer, Clinical outcomes, Clustering analysis, Immunology and Allergy, Medicine, Cluster Analysis, SOFA, Sequential Organ Failure Assessment, Aged, 80 and over, Ifn response, Middle Aged, Acquired immune system, Th2 cells, Type 2 T helper cells, HLA, Human leukocyte antigen, ICU, Intensive care unit, RF, Random forest, 030220 oncology & carcinogenesis, CV, cross validation, Identification (biology), WGCNA, Weighted gene co-expression network analysis, Female, APACHE II, Acute Physiology and Chronic Health Evaluation, Adult, 2019-20 coronavirus outbreak, Prognostic factor, Coronavirus disease 2019 (COVID-19), Immunology, COVID-19 subtypes, chemical and pharmacologic phenomena, Article, 03 medical and health sciences, pDCs, Plasmacytoid dendritic cells, Immune system, Humans, Aged, Pharmacology, Antiviral immune response, Innate immune system, business.industry, SARS-CoV-2, COVID-19, HFD, Hospital-free days at day 45, biochemical phenomena, metabolism, and nutrition, Th1 cells, Type 1 T helper cells, 030104 developmental biology, Gene expression profiles, bacteria, FDR, False discovery rate, business, ssGSEA, single-sample gene-set enrichment analysis
الوصف: Although previous studies have shown that the host immune response is crucial in determining clinical outcomes in COVID-19 patients, the association between host immune signatures and COVID-19 patient outcomes remains unclear. Based on the enrichment levels of 11 immune signatures (eight immune-inciting and three immune-inhibiting signatures) in leukocytes of 100 COVID-19 patients, we identified three COVID-19 subtypes: Im-C1, Im-C2, and Im-C3, by clustering analysis. Im-C1 had the lowest immune-inciting signatures and high immune-inhibiting signatures. Im-C2 had medium immune-inciting signatures and high immune-inhibiting signatures. Im-C3 had the highest immune-inciting signatures while the lowest immune-inhibiting signatures. Im-C3 and Im-C1 displayed the best and worst clinical outcomes, respectively, suggesting that antiviral immune responses alleviated the severity of COVID-19 patients. We further demonstrated that the adaptive immune response had a stronger impact on COVID-19 outcomes than the innate immune response. The patients in Im-C3 were younger than those in Im-C1, indicating that younger persons have stronger antiviral immune responses than older persons. Nevertheless, we did not observe a significant association between sex and immune responses in COVID-19 patients. In addition, we found that the type II IFN response signature was an adverse prognostic factor for COVID-19. Our identification of COVID-19 immune subtypes has potential clinical implications for the management of COVID-19 patients.
تدمد: 1878-1705
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29c9c53129bdd3806308151018449d8Test
https://pubmed.ncbi.nlm.nih.gov/33836368Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....c29c9c53129bdd3806308151018449d8
قاعدة البيانات: OpenAIRE