Dataset Information

An integrated metabolomics and lipidomics approach for the study of metabolic network and early diagnosis in cerebral infarction

ABSTRACT: Cerebral infarction (CI) remains a major cause of high mortality and long-term disability worldwide. The exploration of biomarkers and pathogenesis is crucial for early diagnosis of CI. Although the understanding of metabolic perturbations underlying CI has increased in recent years, the relationship between altered metabolites and disease pathogenesis has only been partially elucidated and requires further investigation. Here, we performed an integrated metabolomics and lipidomics analysis on 59 healthy subjects and 47 CI patients. Ultimately, 49 metabolites and 68 lipids biomarkers were identified and enriched in 24 disturbed pathways. The metabolic network revealed a significant interaction between altered lipids and other metabolites. Using ROC analysis, a panel of 3 polar metabolites and 7 lipids was optimized in training set, which was taurine, oleoylcarnitine, creatinine, PE(22:6/P-18:0), Cer 34:2, GlcCer(d18:0/18:0), DG 44:0, LysoPC(16:0), 22:6-OH/LysoPC and TAG58:7-FA22:4. Subsequently, a support vector machine (SVM) model was constructed and validated, which showed an excellent predictive ability in validation set. Thereby, the integrated metabolomics and lipidomics approach could contribute to a comprehensive understanding of the metabolic dyshomeostasis associated with the pathogenesis underlying CI. The present research may promote a deeper understanding and early diagnosis of CI in clinic.

INSTRUMENT(S): TripleTOF 5600, Synapt MS, Q TRAP

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: XX Y

LAB HEAD: Xinxin Ye

PROVIDER: PXD036199 | Pride | 2023-03-11

REPOSITORIES: Pride

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Publications

Integrated Metabolomics and Lipidomics Approach for the Study of Metabolic Network and Early Diagnosis in Cerebral Infarction.

Ye Xinxin X Zhu Bin B Chen Yang Y Wang Yingfeng Y Wang Dan D Zhao Zhigang Z Li Zhongfeng Z

Journal of proteome research 20221020 11

Cerebral infarction (CI) remains a major cause of high mortality and long-term disability worldwide. The exploration of biomarkers and pathogenesis is crucial for the early diagnosis of CI. Although the understanding of metabolic perturbations underlying CI has increased in recent years, the relationship between altered metabolites and disease pathogenesis has only been partially elucidated and requires further investigation. In this study, we performed an integrated metabolomics and lipidomics ...[more]

PMID: 36264770

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Dataset Information

An integrated metabolomics and lipidomics approach for the study of metabolic network and early diagnosis in cerebral infarction

Publications

Integrated Metabolomics and Lipidomics Approach for the Study of Metabolic Network and Early Diagnosis in Cerebral Infarction.

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