Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence
ObjectiveTo systematically collate and evaluate metabolomics-based biomarkers of ischemic stroke (IS) to guide clinical diagnosis and treatment.MethodsComprehensive literature searches were conducted in PubMed, Embase, and Web of Science using “IS” and “metabolomics” as core keywords, covering publi...
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Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1630390/full |
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| author | Lu Ding Lu Ding Meiling Zhang Baochao Fan Fuyuan Deng Zhenyuan Li Yixuan Han Yifan Wu Jingchun Zeng Jingchun Zeng Liming Lu |
| author_facet | Lu Ding Lu Ding Meiling Zhang Baochao Fan Fuyuan Deng Zhenyuan Li Yixuan Han Yifan Wu Jingchun Zeng Jingchun Zeng Liming Lu |
| author_sort | Lu Ding |
| collection | DOAJ |
| description | ObjectiveTo systematically collate and evaluate metabolomics-based biomarkers of ischemic stroke (IS) to guide clinical diagnosis and treatment.MethodsComprehensive literature searches were conducted in PubMed, Embase, and Web of Science using “IS” and “metabolomics” as core keywords, covering publications up through February 2024. Any original metabolomic research related to IS was selected. Key information such as study demographics, study type, objectives, metabolomic analysis methods, and main findings were extracted and analyzed. Frequently mentioned metabolites were subjected to enrichment analysis using the MetaboAnalyst 6.0 platform.ResultsA total of 51 studies were included. Quality assessment revealed that 54.8% of the diagnostic studies and 69.2% of the prognostic studies were high-quality, with most controlling for confounding factors. Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. Increased tyrosine, glutamine, phenylalanine, sphingomyelin, glutamate, lactate and glucose, and decreased LysoPC (18:2), histidine, and methionine levels were linked to IS onset. Specific metabolite combinations, such as serine, isoleucine, betaine, PC (5:0/5:0), and LysoPE (18:2), showed high precision in predicting acute ischemic stroke (AIS) (training set AUC = 0.988, test set AUC = 0.971). Glycine-serine-threonine and valine-leucine-isoleucine pathways were significant in diagnosing IS and AIS, and in differentiating ischemic and hemorrhagic strokes, as well as identifying post-stroke depression and cognitive impairment.ConclusionThis study confirms the potential diagnostic and prognostic value of changes in amino acids and lipids, as well as other metabolites and metabolic pathways, in IS. These findings highlight the promise of metabolomics in IS diagnosis, differential diagnosis, risk assessment, and complication identification. However, further validation is needed due to the varying quality of the included studies.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#myprospero, identifier CRD42022335505. |
| format | Article |
| id | doaj-art-3248a6a69ef5435fb6c7cdb75b68d4bb |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Neurology |
| spelling | doaj-art-3248a6a69ef5435fb6c7cdb75b68d4bb2025-08-20T03:41:08ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-08-011610.3389/fneur.2025.16303901630390Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidenceLu Ding0Lu Ding1Meiling Zhang2Baochao Fan3Fuyuan Deng4Zhenyuan Li5Yixuan Han6Yifan Wu7Jingchun Zeng8Jingchun Zeng9Liming Lu10Department of Traditional Chinese Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaMedical Department, Zhejiang Provincial Hospital of Chinese Medicine, Hangzhou, ChinaSchool of European Languages and Cultures, Beijing Foreign Studies University, Beijing, ChinaCollege of Physical Education and Public Health, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Rehabilitation, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, ChinaShenShan Hospital, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Shanwei, ChinaClinical Research and Big Data Laboratory, South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, ChinaObjectiveTo systematically collate and evaluate metabolomics-based biomarkers of ischemic stroke (IS) to guide clinical diagnosis and treatment.MethodsComprehensive literature searches were conducted in PubMed, Embase, and Web of Science using “IS” and “metabolomics” as core keywords, covering publications up through February 2024. Any original metabolomic research related to IS was selected. Key information such as study demographics, study type, objectives, metabolomic analysis methods, and main findings were extracted and analyzed. Frequently mentioned metabolites were subjected to enrichment analysis using the MetaboAnalyst 6.0 platform.ResultsA total of 51 studies were included. Quality assessment revealed that 54.8% of the diagnostic studies and 69.2% of the prognostic studies were high-quality, with most controlling for confounding factors. Metabolite analysis revealed associations between decreased proline, isoleucine, valine, and alanine levels with IS. Increased tyrosine, glutamine, phenylalanine, sphingomyelin, glutamate, lactate and glucose, and decreased LysoPC (18:2), histidine, and methionine levels were linked to IS onset. Specific metabolite combinations, such as serine, isoleucine, betaine, PC (5:0/5:0), and LysoPE (18:2), showed high precision in predicting acute ischemic stroke (AIS) (training set AUC = 0.988, test set AUC = 0.971). Glycine-serine-threonine and valine-leucine-isoleucine pathways were significant in diagnosing IS and AIS, and in differentiating ischemic and hemorrhagic strokes, as well as identifying post-stroke depression and cognitive impairment.ConclusionThis study confirms the potential diagnostic and prognostic value of changes in amino acids and lipids, as well as other metabolites and metabolic pathways, in IS. These findings highlight the promise of metabolomics in IS diagnosis, differential diagnosis, risk assessment, and complication identification. However, further validation is needed due to the varying quality of the included studies.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/#myprospero, identifier CRD42022335505.https://www.frontiersin.org/articles/10.3389/fneur.2025.1630390/fullischemic strokemetabolomicsbiomarkersdiagnosisrisk predictionprognosis |
| spellingShingle | Lu Ding Lu Ding Meiling Zhang Baochao Fan Fuyuan Deng Zhenyuan Li Yixuan Han Yifan Wu Jingchun Zeng Jingchun Zeng Liming Lu Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence Frontiers in Neurology ischemic stroke metabolomics biomarkers diagnosis risk prediction prognosis |
| title | Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence |
| title_full | Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence |
| title_fullStr | Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence |
| title_full_unstemmed | Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence |
| title_short | Metabolomics reveals key biomarkers for ischemic stroke: a systematic review of emerging evidence |
| title_sort | metabolomics reveals key biomarkers for ischemic stroke a systematic review of emerging evidence |
| topic | ischemic stroke metabolomics biomarkers diagnosis risk prediction prognosis |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2025.1630390/full |
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