Cold environment is associated with worse outcomes in ischemic stroke patients and the underlying gut microbial mechanism.
Overview
- Department of Neurology, The Second Hospital of Tianjin Medical University, No.23, PingJiang Road, Tianjin, 300211 China
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, No.23, PingJiang Road, Tianjin, 300211 China
- Tianjin Interdisciplinary Innovation Centre for Health and Meteorology, Tianjin, China
Abstract
Background: Increasing evidence suggests that cold environment is a potential risk factor for acute ischemic stroke (AIS) and is associated with poor prognosis, however, its underlying mechanisms remain unclear. Since gut dysbiosis and AIS are causally related and cold environment can induce changes in the gut microbiota, we wondered whether cold-season-related gut dysbiosis aggravates stroke progression.
Methods: In total, 101 patients with AIS were enrolled and divided into two groups: cold-season onset ischemic stroke (CIS) and non-cold-season onset ischemic stroke (NCIS). Gut microbiota composition was analyzed using 16 S rRNA gene sequencing, and signature taxa were identified via linear discriminant analysis effect size (LEfSe). Correlations between key microbial taxa and clinical parameters were assessed using Spearman rank analysis. To evaluate the potential causal role of gut microbiota in cold season stroke, fecal microbiota transplantation (FMT) was performed in mice, followed by middle cerebral artery occlusion (MCAO).
Results: The composition of gut microbiota in the CIS group significantly differed from the NCIS group. The characteristic microbiota of the CIS group was distinguished by an elevated relative abundance of Escherichia-Shigella and Enterococcus, coupled with a decreased percentage of Blautia, Eubacterium_hallii_group
Conclusions: Our study indicates that cold-season-related gut dysbiosis may be linked to stroke severity and poor prognosis in AIS patients, suggesting that modulation of gut microbiota could represent a potential avenue for therapeutic intervention.
Supplementary Information: The online version contains supplementary material available at 10.1186/
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- bioproject:PRJNA1274352, at NCBI BioProject; found in “Data availability”
Data availability
The raw sequencing data generated in this study have been deposited in the NCBI Sequence Read Archive (SRA) database and are publicly available under the BioProject accession numbers PRJNA1274352 and PRJNA1275799. All sequencing runs (SRR accession numbers) can be accessed through the SRA database via the following links: (https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 5 keywords, 19 MeSH terms, 6 funders, 54 references.
Cite
This paper
Wei, C., Zhou, X., Xia, X., Feng, W., Wang, L., & Li, X. (2026). Cold environment is associated with worse outcomes in ischemic stroke patients and the underlying gut microbial mechanism. BMC microbiology, 26(1), 465. https://
BibTeX
@article{wei2026cold,
author = {Wei, Chanjuan and Zhou, Xiao and Xia, Xiaoshuang and Feng, Wenjun and Wang, Lin and Li, Xin},
title = {{Cold environment is associated with worse outcomes in ischemic stroke patients and the underlying gut microbial mechanism}},
journal = {BMC microbiology},
year = {2026},
month = apr,
volume = {26},
number = {1},
pages = {465},
publisher = {BMC},
issn = {1471-2180},
doi = {10.1186/
url = {https://
pmid = {41922969},
pmcid = {PMC13181897}
}
RIS
TY - JOUR
AU - Wei, Chanjuan
AU - Zhou, Xiao
AU - Xia, Xiaoshuang
AU - Feng, Wenjun
AU - Wang, Lin
AU - Li, Xin
TI - Cold environment is associated with worse outcomes in ischemic stroke patients and the underlying gut microbial mechanism
T2 - BMC microbiology
J2 - BMC Microbiol
PY - 2026
DA - 2026/
VL - 26
IS - 1
SP - 465
SN - 1471-2180
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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