Gut Pathogens | |
Association of gut microbial dysbiosis with disease severity, response to therapy and disease outcomes in Indian patients with COVID-19 | |
Research | |
Ranit D’Rozario1  Debaleena Bhowmick1  Purbita Bandopadhyay1  Jafar Sarif1  Dipyaman Ganguly1  Abhishake Lahiri1  Shilpak Chatterjee1  Shekhar Ranjan Paul2  Yogiraj Ray3  Santanu Das4  Daizee Talukdar4  Bhabatosh Das4  | |
[1] CSIR-Indian Institute of Chemical Biology, Kolkata, India;Academy of Scientific and Innovative Research, Ghaziabad, India;Department of Medicine, Infectious Diseases and Beleghata General Hospital, Kolkata, India;Department of Medicine, Infectious Diseases and Beleghata General Hospital, Kolkata, India;Department of Infectious Disease, SSKM Hospital, Kolkata, India;Functional Genomics Laboratory, Translational Health Science and Technology Institute, Faridabad, India; | |
关键词: COVID-19; Gut microbiome; Dysbiosis; Cytokine; Convalescent plasma; | |
DOI : 10.1186/s13099-023-00546-z | |
received in 2022-11-21, accepted in 2023-04-13, 发布年份 2023 | |
来源: Springer | |
【 摘 要 】
BackgroundSevere coronavirus disease 2019 (COVID-19) is associated with systemic hyper-inflammation. An adaptive interaction between gut microbiota and host immune systems is important for intestinal homeostasis and systemic immune regulation. The association of gut microbial composition and functions with COVID-19 disease severity is sparse, especially in India. We analysed faecal microbial diversity and abundances in a cohort of Indian COVID-19 patients to identify key signatures in the gut microbial ecology in patients with severe COVID-19 disease as well as in response to different therapies. The composition of the gut microbiome was characterized using 16Sr RNA gene sequences of genomic DNA extracted from faecal samples of 52 COVID-19 patients. Metabolic pathways across the groups were predicted using PICRUSt2. All statistical analyses were done using Vegan in the R environment. Plasma cytokine abundance at recruitment was measured in a multiplex assay.ResultsThe gut microbiome composition of mild and severe patients was found to be significantly different. Immunomodulatory commensals, viz. Lachnospiraceae family members and Bifidobacteria producing butyrate and short-chain fatty acids (SCFAs), were under represented in patients with severe COVID-19, with an increased abundance of opportunistic pathogens like Eggerthella. The higher abundance of Lachnoclostridium in severe disease was reduced in response to convalescent plasma therapy. Specific microbial genera showed distinctive trends in enriched metabolic pathways, strong correlations with blood plasma cytokine levels, and associative link to disease outcomes.ConclusionOur study indicates that, along with SARS-CoV-2, a dysbiotic gut microbial community may also play an important role in COVID-19 severity through modulation of host immune responses.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
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【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]
- [24]
- [25]
- [26]
- [27]
- [28]
- [29]
- [30]
- [31]
- [32]
- [33]
- [34]
- [35]
- [36]
- [37]
- [38]
- [39]
- [40]
- [41]
- [42]
- [43]
- [44]
- [45]
- [46]
- [47]
- [48]
- [49]
- [50]
- [51]
- [52]
- [53]
- [54]
- [55]
- [56]
- [57]
- [58]
- [59]
- [60]
- [61]
- [62]
- [63]
- [64]
- [65]
- [66]
- [67]
- [68]
- [69]
- [70]
- [71]
- [72]
- [73]
- [74]
- [75]
- [76]
- [77]
- [78]
- [79]
- [80]
- [81]
- [82]
- [83]
- [84]
- [85]
- [86]
- [87]
- [88]
- [89]