Article · 2025

Identification of Cardiometabolic Protein Biomarkers for Acute Myocardial Infarction Using Olink Proteomics

Journal of Inflammation Research

Xin Tan; Xiangyu Wang; Shuai Xu; Yiyao Zeng; Ge Zhang; Anchen Xu; Yufeng Jiang; Hezi Jiang; Yahui Song; Jili Fan; Yangjun Fu; Xiaohong Bo; Huimin Fan; Yafeng Zhou

Cite this paper

Plain citation

Xin Tan, Xiangyu Wang, Shuai Xu, Yiyao Zeng, Ge Zhang, Anchen Xu, Yufeng Jiang, Hezi Jiang, Yahui Song, Jili Fan, Yangjun Fu, Xiaohong Bo, Huimin Fan, Yafeng Zhou. Identification of Cardiometabolic Protein Biomarkers for Acute Myocardial Infarction Using Olink Proteomics. Journal of Inflammation Research. 2025. https://doi.org/10.2147/jir.s495784

Author-controlled citation; verify against the publisher version of record.

Research context and source limits

Limited evidence note. Only the source material identified below has been reviewed; this is not a complete Paper GEO V2 assessment.

Protein-discovery design and supplementary sensitivity checks; diagnostic and causal claims remain unverified.

Protein discovery and follow-up

The study measures 92 plasma proteins in an exploratory Olink discovery set of 20 acute myocardial infarction cases and 10 controls. It selects PCOLCE, FCN2, REG1A, DEFA1 and CRTAC1 for ELISA and transcriptomic comparisons. These are protein measurements, and the observational comparisons do not establish diagnostic utility, a clinical decision threshold, or a treatment effect.

Source: Methods: General Information and biomarker screening; Results: Identification of Cardiometabolic-Related Biomarkers and ELISA Validation

What the MR supplement actually reports

Supplementary Table S2 reports nominal inverse-variance-weighted associations for FCN2 and DEFA1. Their MR-Egger and weighted-median tests are not significant at 0.05. These method-dependent exploratory findings do not establish causality or treatment targets; exposure units, multiplicity and instrument mapping remain unverified.

Source: Table S2, FCN2 and DEFA1 IVW, MR-Egger and weighted-median rows

Validation boundaries remain explicit

ELISA counts differ between the Methods/Table 1 and Figure 5: 125 versus 120 infarction cases. Supplementary Table S1 identifies GSE57338, while the main text names GSE57388, leaving accession-to-result mapping unresolved. Differential-expression methods specify FDR adjustment, but its mapping to reported result thresholds needs clarification. The audit therefore withholds diagnostic accuracy and causal-validation claims.

Source: Methods ELISA and Statistical Analysis; Table 1; Figure 5; ELISA Results

Evidence limits

Provenance

Source review: 2026-10-27.

Author-controlled academic record for Ge Zhang (张格; ORCID 0000-0002-3116-3246). This page identifies the work as part of Ge Zhang’s publication record. It does not replace the publisher version or assert a complete author list.

Verify publication identity

These records identify the same original work; database inclusion is not evidence of scientific validity or clinical benefit.