# Microbiome–Metabolome Crosstalk as a Driver of COVID-19 Severity

**Authors:** Patricia Diez-Echave, María Jesús Rodríguez-Sojo, Benita Martin-Castaño, Laura Hidalgo-García, Antonio Jesús Ruiz-Malagon, José Alberto Molina-Tijeras, Anaïs Redruello Romero, Margarita Martínez-Zaldívar, Emilio Mota, Fernando Cobo, Marta Alvarez-Estevez, Federico García, Concepción Morales-García, Silvia Merlos, Paula García-Flores, Manuel Colmenero-Ruiz, María Nuñez, Andrés Ruiz-Sancho, María Elena Rodríguez-Cabezas, Ángel Carazo Gallego, Emilio Fernandez-Varón, José Pérez del Palacio, Javier Martin, Jorge García-García, Rocío Morón, Alba Rodríguez-Nogales, Julio Gálvez

PMC · DOI: 10.3390/medsci14010097 · Medical Sciences · 2026-02-17

## TL;DR

This study explores how gut microbes and metabolites are linked to the severity of COVID-19, identifying potential biomarkers and therapeutic targets.

## Contribution

The study identifies specific gut microbial taxa and metabolomic signatures associated with severe versus mild COVID-19.

## Key findings

- Severe COVID-19 is linked to reduced microbial diversity and pro-inflammatory gut bacteria like Prevotella and Alistipes.
- Metabolomic changes in severe cases include elevated linoleate and altered bile acid and tryptophan pathways.
- Mild cases show higher levels of protective bacteria and metabolites like acylcarnitines and inositol derivatives.

## Abstract

Background: COVID-19, caused by SARS-CoV-2, exhibits highly variable severity, from mild symptoms to respiratory failure and multiorgan dysfunction. Traditional risk factors incompletely explain this heterogeneity, highlighting the potential role of gut microbiota and host metabolomics in modulating immune responses. Methods: Thus, this study investigates how gut microbiota variations are associated with plasma metabolite profiles in COVID-19, exploring relationships between microbial and metabolic signatures and disease severity and potential therapeutic targets. In a prospective cohort of 55 patients, stool and plasma samples were analyzed using 16S rRNA sequencing and untargeted LC-HRMS metabolomics. Results: Severe COVID-19 was associated with reduced microbial diversity and enrichment of pro-inflammatory taxa, including Prevotella, Alistipes, Dialister, and Lachnoclostridium, whereas mild cases showed higher abundance of protective commensals such as Bacteroides, Faecalibacterium, and Blautia. Metabolomic profiling revealed alterations in bile acids, unsaturated fatty acids, tryptophan, and inositol phosphate pathways. Notably, linoleate levels were elevated in severe cases, showing correlations with pro-inflammatory microbes, while acylcarnitines and inositol derivatives were enriched in mild disease. Predictive functional analysis suggested that severe-associated microbes showed enhanced amino acid catabolism, oxidative glucose metabolism, and xenobiotic degradation, which may be linked to host inflammation. Conclusions: These findings highlight associations between gut microbiota composition, microbial metabolism, and circulating metabolites in COVID-19 severity. Identified microbial and metabolomic signatures may represent potential candidates to be considered biomarkers and therapeutic targets to modulate disease progression.

## Linked entities

- **Chemicals:** linoleate (PubChem CID 5460332), tryptophan (PubChem CID 1148), inositol phosphate (PubChem CID 107737)
- **Diseases:** COVID-19 (MONDO:0100096)
- **Species:** Prevotella (taxon 838), Alistipes (taxon 239759), Dialister (taxon 39948), Lachnoclostridium (taxon 1506553), Bacteroides (taxon 816), Faecalibacterium (taxon 216851), Blautia (taxon 572511)

## Full-text entities

- **Genes:** IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, TLR2 (toll like receptor 2) [NCBI Gene 7097] {aka CD282, TIL4}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, PCLAF (PCNA clamp associated factor) [NCBI Gene 9768] {aka KIAA0101, L5, NS5ATP9, OEATC, OEATC-1, OEATC1}
- **Diseases:** multiorgan failure (MESH:D051437), Crohn's disease (MESH:D003424), Infection (MESH:D007239), dyspnea (MESH:D004417), gastrointestinal disorders (MESH:D005767), lymphopenia (MESH:D008231), diabetes (MESH:D003920), COVID-19 (MESH:D000086382), immune dysfunction (MESH:D007154), microbial dysbiosis (MESH:D064806), cough (MESH:D003371), injury to (MESH:D014947), shock (MESH:D012769), headache (MESH:D006261), inflammation (MESH:D007249), gastrointestinal symptoms (MESH:D012817), thrombotic (MESH:D013927), deaths (MESH:D003643), viral infection (MESH:D014777), Human Immunodeficiency Virus (HIV) infection (MESH:D015658), immune dysregulation (OMIM:614878), ARDS (MESH:D012128), fever (MESH:D005334), anosmia (MESH:D000857), respiratory compromise (MESH:D012131), multi-organ dysfunction (MESH:D009102), obesity (MESH:D009765), microbial infections (MESH:D015163), cardiomyopathy (MESH:D009202), pneumonia (MESH:D011014)
- **Chemicals:** toluene (MESH:D014050), amino acid (MESH:D000596), AcN (MESH:C032159), phenylalanine (MESH:D010649), starch (MESH:D013213), acylcarnitines (MESH:C116917), menaquinone (MESH:D024482), arginine (MESH:D001120), CMP-legionaminate (-), porphyrin (MESH:D011166), dGMP (MESH:C007257), geranylgeranyl diphosphate (MESH:C002963), mevalonate (MESH:D008798), ornithine (MESH:D009952), linoleate (MESH:D019787), proline (MESH:D011392), bile acid (MESH:D001647), formic acid (MESH:C030544), inositol phosphate (MESH:D007295), unsaturated fatty acids (MESH:D005231), inositol 1,3,4,6-tetrakisphosphate (MESH:C081653), oxygen (MESH:D010100), carnitine (MESH:D002331), ergothioneine (MESH:D004880), glycochenodeoxycholate (MESH:D005999), kynurenine (MESH:D007737), tryptophan (MESH:D014364), glucose (MESH:D005947), ketone bodies (MESH:D007657), inositol (MESH:D007294), SCFAs (MESH:D005232), galactose (MESH:D005690), calcium (MESH:D002118), leucine (MESH:D007930), water (MESH:D014867), catechol (MESH:C034221), lipid (MESH:D008055), AMDP (MESH:C064516), sucrose (MESH:D013395), diols (MESH:D011276), isoprenoid (MESH:D013729)
- **Species:** Alistipes (genus) [taxon 239759], Prevotella (genus) [taxon 838], Staphylococcus (genus) [taxon 1279], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Bacteroides (genus) [taxon 816], Prevotella corporis (species) [taxon 28128], Pseudomonas aeruginosa (species) [taxon 287], Segatella copri (species) [taxon 165179], Alistipes putredinis (species) [taxon 28117], Caenorhabditis elegans (species) [taxon 6239], Haemophilus influenzae (species) [taxon 727], Alloprevotella (genus) [taxon 1283313], Faecalibacterium prausnitzii (species) [taxon 853], Homo sapiens (human, species) [taxon 9606], Faecalibacterium (genus) [taxon 216851], Ruminococcus sp. (species) [taxon 41978], Prevotella disiens (species) [taxon 28130], Dialister (genus) [taxon 39948], Blautia wexlerae (species) [taxon 418240], Lachnoclostridium (genus) [taxon 1506553], Escherichia coli (E. coli, species) [taxon 562], Allocoprococcus comes (species) [taxon 410072], Ligilactobacillus murinus (species) [taxon 1622], Hungatella hathewayi (species) [taxon 154046], Roseburia (genus) [taxon 841], Enterococcus faecium (species) [taxon 1352], Campylobacter ureolyticus (species) [taxon 827], Phocaeicola coprocola (species) [taxon 310298], gut metagenome (species) [taxon 749906], Coprobacillus (genus) [taxon 100883], Prevotella bivia (species) [taxon 28125], Alistipes finegoldii (species) [taxon 214856], Anaerococcus (genus) [taxon 165779], Actinomycetota (actinobacteria, phylum) [taxon 201174], Fusobacterium nucleatum (species) [taxon 851], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Hoylesella buccalis (species) [taxon 28127], Campylobacter jejuni (species) [taxon 197]

## Full text

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## Figures

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## References

67 references — full list in the complete paper: https://tomesphere.com/paper/PMC12921900/full.md

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Source: https://tomesphere.com/paper/PMC12921900