Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke
Abstract Background There is growing research on the relationship between gut bacteria and various forms of strokes. This study aimed to investigate the relationship between fecal metabolites and ischemic stroke, providing a new perspective on predicting the latter. Results Stool samples were taken...
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BMC
2025-08-01
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| Series: | BMC Microbiology |
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| Online Access: | https://doi.org/10.1186/s12866-025-04217-8 |
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| author | Ke Xu Zhe Ren Shuang Zhao Yi Ren Jiaolin Wang Wentao Wu Zicheng Hu Fei He Dianji Tu Qi Zhong Jianjun Chen Peng Xie |
| author_facet | Ke Xu Zhe Ren Shuang Zhao Yi Ren Jiaolin Wang Wentao Wu Zicheng Hu Fei He Dianji Tu Qi Zhong Jianjun Chen Peng Xie |
| author_sort | Ke Xu |
| collection | DOAJ |
| description | Abstract Background There is growing research on the relationship between gut bacteria and various forms of strokes. This study aimed to investigate the relationship between fecal metabolites and ischemic stroke, providing a new perspective on predicting the latter. Results Stool samples were taken from 60 patients with ischemic stroke and 60 healthy individuals, and non-targeted metabolomic analysis was used. The generalized boosted linear model was utilized for co-occurrence analysis to ascertain the noteworthy variation in fecal metabolites. The important differential metabolites were identified by the random forest algorithm, a prediction panel was developed to distinguish ischemic stroke patients from healthy individuals. Specifically, six differential metabolites (Ganoderic acid theta, Fructose-lysine, Pentaethylene glycol, 2-Chlorooctadecanoic acid, PA(2:0/PGF1alpha), and 4-[(E)-5,6-Dihydro-2,3'-bipyridin-3(4H)-ylidenemethyl]-3-methoxyphenol) were identified as potential independent stroke-associated metabolites. A prediction panel consisting of these six metabolites could yield an area under the curve of 0.989 in training set and 0.973 in testing set. There was a substantial correlation between all six independent stroke-associated metabolites and the severity of ischemic stroke, but it was not affected by depression or anxiety. Conclusions These six differential metabolites were independent stroke-associated metabolites, and the panel consisting of these metabolites could serve as a potential prediction panel for ischemic stroke. However, future external validation in multi-ethnic cohorts is necessary to confirm broader generalizability. |
| format | Article |
| id | doaj-art-126e16096d894d06b59bd477c0bfb2e1 |
| institution | Kabale University |
| issn | 1471-2180 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Microbiology |
| spelling | doaj-art-126e16096d894d06b59bd477c0bfb2e12025-08-24T11:11:00ZengBMCBMC Microbiology1471-21802025-08-0125111110.1186/s12866-025-04217-8Fecal metabolites as early-phase biomarkers and prediction panel for ischemic strokeKe Xu0Zhe Ren1Shuang Zhao2Yi Ren3Jiaolin Wang4Wentao Wu5Zicheng Hu6Fei He7Dianji Tu8Qi Zhong9Jianjun Chen10Peng Xie11Department of Neurology, The First Affiliated Hospital of Chongqing Medical UniversityDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical UniversityDepartment of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Institute for Viral Hepatitis, The Second Affiliated Hospital of Chongqing Medical UniversityDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical UniversityInstitute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical UniversityInstitute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical UniversityDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical UniversityInstitute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical UniversityDepartment of Clinical Laboratory, Xinqiao Hospital, Third Military Medical University (Army Medical University)Institute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical UniversityInstitute of Neuroscience, School of Basic Medical Sciences, Chongqing Medical UniversityDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical UniversityAbstract Background There is growing research on the relationship between gut bacteria and various forms of strokes. This study aimed to investigate the relationship between fecal metabolites and ischemic stroke, providing a new perspective on predicting the latter. Results Stool samples were taken from 60 patients with ischemic stroke and 60 healthy individuals, and non-targeted metabolomic analysis was used. The generalized boosted linear model was utilized for co-occurrence analysis to ascertain the noteworthy variation in fecal metabolites. The important differential metabolites were identified by the random forest algorithm, a prediction panel was developed to distinguish ischemic stroke patients from healthy individuals. Specifically, six differential metabolites (Ganoderic acid theta, Fructose-lysine, Pentaethylene glycol, 2-Chlorooctadecanoic acid, PA(2:0/PGF1alpha), and 4-[(E)-5,6-Dihydro-2,3'-bipyridin-3(4H)-ylidenemethyl]-3-methoxyphenol) were identified as potential independent stroke-associated metabolites. A prediction panel consisting of these six metabolites could yield an area under the curve of 0.989 in training set and 0.973 in testing set. There was a substantial correlation between all six independent stroke-associated metabolites and the severity of ischemic stroke, but it was not affected by depression or anxiety. Conclusions These six differential metabolites were independent stroke-associated metabolites, and the panel consisting of these metabolites could serve as a potential prediction panel for ischemic stroke. However, future external validation in multi-ethnic cohorts is necessary to confirm broader generalizability.https://doi.org/10.1186/s12866-025-04217-8MetabolomeIschemic strokeGutBiomarker |
| spellingShingle | Ke Xu Zhe Ren Shuang Zhao Yi Ren Jiaolin Wang Wentao Wu Zicheng Hu Fei He Dianji Tu Qi Zhong Jianjun Chen Peng Xie Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke BMC Microbiology Metabolome Ischemic stroke Gut Biomarker |
| title | Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke |
| title_full | Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke |
| title_fullStr | Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke |
| title_full_unstemmed | Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke |
| title_short | Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke |
| title_sort | fecal metabolites as early phase biomarkers and prediction panel for ischemic stroke |
| topic | Metabolome Ischemic stroke Gut Biomarker |
| url | https://doi.org/10.1186/s12866-025-04217-8 |
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