ArticleFrontiers in microbiology2022
Gut microbiota profile of COVID-19 patients: Prognosis and risk stratification (MicroCOVID-19 study).
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Gut microbial allies and adversaries in SARS-CoV-2 infection.Current research in microbial sciences · 2026Article
- COVID-19-associated Autoimmune and Inflammatory Diseases: Molecular Mechanisms and the Role of IVIG Therapy.Clinical reviews in allergy & immunology · 2025Review
- Article
- Bacteriome Signature in SARS-CoV-2-Infected Patients Correlates with Increased Gut Permeability and Systemic Inflammatory Cytokines.Microorganisms · 2025Article
- Editorial: Gut microbiota in health and disease.Frontiers in gastroenterology (Lausanne, Switzerland) · 2025Article
- Characteristics of gut microbiota in patients with asthenozoospermia: a Chinese pilot study.BMC microbiology · 2024Article
- Gut Microbiome Composition and Dynamics in Hospitalized COVID-19 Patients and Patients with Post-Acute COVID-19 Syndrome.International journal of molecular sciences · 2024Article
- The relationship between gut microbiota and COVID-19 progression: new insights into immunopathogenesis and treatment.Frontiers in immunology · 2023Review
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Authors and funding
13 authors.
Funding
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Abstract
Background: Gut microbiota is intrinsically associated with the immune system and can promote or suppress infectious diseases, especially viral infections. This study aims to characterize and compare the microbiota profile of infected patients with SARS-CoV-2 (milder or severe symptoms), non-infected people, and recovered patients. This is a national, transversal, observational, multicenter, and case-control study that analyzed the microbiota of COVID-19 patients with mild or severe symptoms at home, at the hospital, or in the intensive care unit, patients already recovered, and healthy volunteers cohabiting with COVID-19 patients. DNA was isolated from stool samples and sequenced in a NGS platform. A demographic questionnaire was also applied. Statistical analysis was performed in SPSS. Results: Firmicutes/Bacteroidetes ratios were found to be significantly lower in infected patients (1.61 and 2.57) compared to healthy volunteers (3.23) and recovered patients (3.89). Furthermore, the microbiota composition differed significantly between healthy volunteers, mild and severe COVID-19 patients, and recovered patients. Furthermore Conclusion: We can conclude that microbiota composition is significantly affected by SARS-CoV-2 infection and may be used to predict COVID-19 clinical evolution. Therefore, it will be possible to better allocate healthcare resources and better tackle future pandemics.
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