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Human Gut Microbiota and Its Metabolites Impact Immune Responses in COVID-19 and Its Complications

Authors :
Naoyoshi Nagata
Tadashi Takeuchi
Hiroaki Masuoka
Ryo Aoki
Masahiro Ishikane
Noriko Iwamoto
Masaya Sugiyama
Wataru Suda
Yumiko Nakanishi
Junko Terada-Hirashima
Moto Kimura
Tomohiko Nishijima
Hiroshi Inooka
Tohru Miyoshi-Akiyama
Yasushi Kojima
Chikako Shimokawa
Hajime Hisaeda
Fen Zhang
Yun Kit Yeoh
Siew C. Ng
Naomi Uemura
Takao Itoi
Masashi Mizokami
Takashi Kawai
Haruhito Sugiyama
Norio Ohmagari
Hiroshi Ohno
Source :
Gastroenterology.
Publication Year :
2022

Abstract

We investigate interrelationships between gut microbes, metabolites, and cytokines that characterize COVID-19 and its complications, and we validate the results with follow-up, a Japanese Disease, Drug, Diet, Daily Life microbiome cohort, and non-Japanese data sets.We performed shotgun metagenomic sequencing and metabolomics on stools and cytokine measurements on plasma from 112 hospitalized patients with SARS-CoV-2 infection and 112 non-COVID-19 control individuals matched by important confounders.Multiple correlations were found between COVID-19-related microbes (eg, oral microbes and short-chain fatty acid producers) and gut metabolites (eg, branched-chain and aromatic amino acids, short-chain fatty acids, carbohydrates, neurotransmitters, and vitamin B6). Both were also linked to inflammatory cytokine dynamics (eg, interferon γ, interferon λ3, interleukin 6, CXCL-9, and CXCL-10). Such interrelationships were detected highly in severe disease and pneumonia; moderately in the high D-dimer level, kidney dysfunction, and liver dysfunction groups; but rarely in the diarrhea group. We confirmed concordances of altered metabolites (eg, branched-chain amino acids, spermidine, putrescine, and vitamin B6) in COVID-19 with their corresponding microbial functional genes. Results in microbial and metabolomic alterations with severe disease from the cross-sectional data set were partly concordant with those from the follow-up data set. Microbial signatures for COVID-19 were distinct from diabetes, inflammatory bowel disease, and proton-pump inhibitors but overlapping for rheumatoid arthritis. Random forest classifier models using microbiomes can highly predict COVID-19 and severe disease. The microbial signatures for COVID-19 showed moderate concordance between Hong Kong and Japan.Multiomics analysis revealed multiple gut microbe-metabolite-cytokine interrelationships in COVID-19 and COVID-19related complications but few in gastrointestinal complications, suggesting microbiota-mediated immune responses distinct between the organ sites. Our results underscore the existence of a gut-lung axis in COVID-19.

Subjects

Subjects :
Hepatology
Gastroenterology

Details

ISSN :
15280012
Database :
OpenAIRE
Journal :
Gastroenterology
Accession number :
edsair.doi.dedup.....33da6d8b7fb91c343545e70753c16b57