Evidence map›Paper›PMID 41195417›Full record

ArticleFrontiers in molecular biosciences2025

Untargeted metabolomics unveils metabolic biomarkers in HFpEF.

Dongqin Duan, Muyashaer Abudurexiti, Refukaiti Abuduhalike, Salamaiti Aimaier, Ailiman Mahemuti

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Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dongqin Duan *Department of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Muyashaer Abudurexiti *Department of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Refukaiti AbuduhalikeDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Salamaiti AimaierDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ailiman MahemutiDepartment of Heart Failure, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure with preserved ejection fraction (HFpEF) is a complex condition linked to metabolic disturbances. This study aimed to identify plasma metabolic signatures in HFpEF patients using untargeted metabolomic profiling. Methods: We analyzed data from 30 HFpEF patients and 30 matched healthy controls. Untargeted metabolomic profiling via UHPLC-MS/MS was conducted on venous blood to identify metabolic differences. Initial analyses included principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and hierarchical clustering to detect differing compound groups. Receiver operating characteristic (ROC) curve analysis and pathway enrichment were performed to identify dysregulated genes. Finally, enzyme-linked immunosorbent assay (ELlSA) was used to validate the serum levels of selected metabolites. Results: A total of 124 significantly different metabolites were identified (VIP >1.0, FC > 1.2 or <0.833, P < 0.05). Lipids and lipid-like molecules were notably altered in HFpEF patients. KEGG enrichment analysis indicated these metabolites were primarily involved in tryptophan metabolism. Hierarchical clustering showed distinct compound levels between groups. ROC curve analysis revealed PC 18:1-20:5 (AUC: 0.833) and PC 18:1-18:1 (AUC: 0.824) as key metabolites. ELlSA validation confirmed that serum Kynurenine and IAA levels were significantly elevated in HFpEF patients compared to HCs (p < 0.05).

Indexed as

biomarkerHFPEFindolekynureninemetabolomicstryptophan metabolism

Identifiers

PMID41195417
PMCPMC12583173

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