ArticleGut microbes2025
Integrative metagenomics and metabolomics reveal age-associated gut microbiota and metabolite alterations in a hamster model of COVID-19.
Article in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Senolytic Treatment Reduces Acute and Chronic Lung Inflammation in an Aged Mouse Model of Influenza.Aging cell · 2026Article
- Human iPSC-derived alveolar macrophages reveal macrophage subtype functions of itaconate in M. tuberculosis defense.JCI insight · 2026Article
- Metabolomic Biomarkers for Non-Invasive Diagnosis of Coronary Artery Disease and Obstructive Sleep Apnea Co-Occurrence.Nature and science of sleep · 2026Article
- Symphony of Digestion: Coordinated Host-Microbiome Enzymatic Interplay in Gut Ecosystem.Biomolecules · 2025Review
- Disorders of Gut Microbiota and Plasma Metabolic Profiles May Be Associated with Lymph Node Tuberculosis.Microorganisms · 2025Article
- Respiratory diseases and the gut microbiota: an updated review.Frontiers in cellular and infection microbiology · 2025Review
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Abstract
Aging is a key contributor of morbidity and mortality during acute viral pneumonia. The potential role of age-associated dysbiosis on disease outcomes is still elusive. In the current study, we used high-resolution shotgun metagenomics and targeted metabolomics to characterize SARS-CoV-2-associated changes in the gut microbiota from young (2-month-old) and aged (22-month-old) hamsters, a valuable model of COVID-19. We show that age-related dysfunctions in the gut microbiota are linked to disease severity and long-term sequelae in older hamsters. Our data also reveal age-specific changes in the composition and metabolic activity of the gut microbiota during both the acute phase (day 7 post-infection, D7) and the recovery phase (D22) of infection. Aged hamsters exhibited the most notable shifts in gut microbiota composition and plasma metabolic profiles. Through an integrative analysis of metagenomics, metabolomics, and clinical data, we identified significant associations between bacterial taxa, metabolites and disease markers in the aged group. On D7 (high viral load and lung epithelial damage) and D22 (body weight loss and fibrosis), numerous amino acids, amino acid-related molecules, and indole derivatives were found to correlate with disease markers. In particular, a persistent decrease in phenylalanine, tryptophan, glutamic acid, and indoleacetic acid in aged animals positively correlated with poor recovery of body weight and/or lung fibrosis by D22. In younger hamsters, several bacterial taxa (
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