Integrated analysis of gut microbiota, serum metabolomics, and proteomics reveals novel associations with clinical symptoms in patients with cerebral infarction.

Overview

1. Department of Dermatology, Jinan Central Hospital,Jinan, Shandong China
2. Department of Geriatric Medicine, Qilu Hospital of Shandong University,Jinan, Shandong China
3. Department of Neurology, Yucheng People’s Hospital, Dezhou, Shandong China

Abstract

Background: Cerebral infarction (CI) is a major cause of adult disability and mortality worldwide. Mounting evidence supports the critical role of the gut–brain axis in cerebrovascular disease progression. This study aimed to characterize the alterations in gut microbiota, serum metabolome, and serum proteome in patients with CI, and to identify multi-omics signatures associated with clinical symptoms.

Methods: A total of 20 CI patients and 20 healthy controls (HC) were enrolled. Fecal microbiota was profiled using 16 S rRNA gene high-throughput sequencing. Serum metabolomics and proteomics were analyzed using ultra-high-performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS) and data-independent acquisition (DIA) proteomics, respectively. Spearman correlation and multi-omics integration were applied to explore the associations among microbiota, metabolites, proteins, and clinical indicators.

Results: CI patients displayed significant gut microbiota dysbiosis, with a markedly lower gut microbiota health index (GMHI) and higher microbiota disorder index (MDI) compared with HC (P < 0.001). The genera g_norank_o_RF39 and Oxalobacter were significantly enriched in CI patients, whereas Clostridium_sensu_stricto_1 and Agathobacter were enriched in HC. Metabolomic analysis identified 445 differential metabolites, mainly involved in glycerophospholipid metabolism, phenylalanine metabolism, and caffeine metabolism. Proteomic analysis revealed 140 differentially expressed proteins linked to inflammatory responses, calcium signaling, and NF-κB signaling. Multi-omics integration showed that signature gut microbiota was strongly correlated (P < 0.005) with key serum metabolites and proteins implicated in CI pathogenesis.

Conclusions: This integrated multi-omics study revealed distinct gut microbiota, serum metabolomic, and proteomic alterations in CI patients. The microbiota–metabolite–protein regulatory axes provide novel insights into the gut–brain axis in CI and may serve as potential diagnostic biomarkers or therapeutic targets.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Data

Datasets cited

• bioproject:PRJNA1456750, at NCBI BioProject; found in “Data availability”

Data availability

All data generated or analyzed during this study are included in this published article. All raw data for microbial sequencing, proteomics, and metabolomics have been deposited in NCBI (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1456750/), ProteomeXchange (https://proteomecentral.proteomexchange.org/ui? pxid=PXD077506), and MetaboLights (https://www.ebi.ac.uk/metabolights/MTBLS14356), respectively, and are publicly accessible.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 7 keywords, 18 MeSH terms, 1 funder, 28 references.

Cite

This paper

Li, N., Ma, J., Yan, H., Liang, J., Wu, X., Yu, X., Lu, M., & Wang, X. (2026). Integrated analysis of gut microbiota, serum metabolomics, and proteomics reveals novel associations with clinical symptoms in patients with cerebral infarction. BMC microbiology, 26(1), 804. https://doi.org/10.1186/s12866-026-05351-7

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