Excessive inflammatory and metabolic responses to acute SARS-CoV-2 infection are associated with a distinct gut microbiota composition

Abstract Protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and associated clinical sequelae requires well-coordinated metabolic and immune responses that limit viral spread and promote recovery of damaged systems. In order to understand potential mechanisms and interactions that influence coronavirus disease 2019 (COVID-19) outcomes, we performed a multi-omics analysis on hospitalised COVID-19 patients and compared those with the most severe outcome (i.e. death) to those with severe non-fatal disease, or mild/moderate disease, that recovered. A distinct subset of 8 cytokines and 140 metabolites in sera identified those with a fatal outcome to infection. In addition, elevated levels of multiple pathobionts and lower levels of protective or anti-inflammatory microbes were observed in the faecal microbiome of those with the poorest clinical outcomes. Weighted gene correlation network analysis (WGCNA) identified modules that associated severity-associated cytokines with tryptophan metabolism, coagulation-linked fibrinopeptides, and bile acids with multiple pathobionts. In contrast, less severe clinical outcomes associated with clusters of anti-inflammatory microbes such asBifidobacteriumorRuminococcus, short chain fatty acids (SCFAs) and IL-17A. Our study uncovered distinct mechanistic modules that link host and microbiome processes with fatal outcomes to SARS-CoV-2 infection. These features may be useful to identify at risk individuals, but also highlight a role for the microbiome in modifying hyperinflammatory responses to SARS-CoV-2 and other infectious agents..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 11. Nov. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Albrich, Werner C. [VerfasserIn]
Ghosh, Tarini Shankar [VerfasserIn]
Ahearn-Ford, Sinead [VerfasserIn]
Mikaeloff, Flora [VerfasserIn]
Lunjani, Nonhlanhla [VerfasserIn]
Forde, Brian [VerfasserIn]
Suh, Noémie [VerfasserIn]
Kleger, Gian-Reto [VerfasserIn]
Pietsch, Urs [VerfasserIn]
Frischknecht, Manuel [VerfasserIn]
Garzoni, Christian [VerfasserIn]
Forlenza, Rossella [VerfasserIn]
Horgan, Mary [VerfasserIn]
Sadlier, Corinna [VerfasserIn]
Negro, Tommaso Rochat [VerfasserIn]
Pugin, Jérôme [VerfasserIn]
Wozniak, Hannah [VerfasserIn]
Cerny, Andreas [VerfasserIn]
Neogi, Ujjwal [VerfasserIn]
O’Toole, Paul W. [VerfasserIn]
O’Mahony, Liam [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2021.10.26.465865

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI032901496