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

Researcher: Ge Zhang
Chinese name: 张格
ORCID identity anchor: https://orcid.org/0000-0002-3116-3246
Canonical researcher: https://drgezhang.com/#person

Journal: Journal of Inflammation Research
Year: 2025
Type: Article
DOI: 10.2147/jir.s495784
Canonical page: https://drgezhang.com/papers/doi-10-2147-jir-s495784.html
Markdown record: https://drgezhang.com/papers/doi-10-2147-jir-s495784.md

## Full Authors

1. Xin Tan
2. Xiangyu Wang
3. Shuai Xu
4. Yiyao Zeng
5. Ge Zhang
6. Anchen Xu
7. Yufeng Jiang
8. Hezi Jiang
9. Yahui Song
10. Jili Fan
11. Yangjun Fu
12. Xiaohong Bo
13. Huimin Fan
14. Yafeng Zhou

## About this record

This is an author-controlled publication record in the Ge Zhang Academic Hub. It identifies this work as part of Ge Zhang’s publication record via ORCID; the publisher version remains the version of record.

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## 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](https://pmc.ncbi.nlm.nih.gov/articles/PMC11863793/)

### 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](https://www.dovepress.com/article/supplementary_file/495784/495784.docx)

### 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](https://pmc.ncbi.nlm.nih.gov/articles/PMC11863793/)

### Evidence limits

- ELISA cohort size and GEO accession/result mapping are unresolved.
- Nominal IVW associations are not robustly replicated across the named sensitivity methods.
- Multiplicity, exposure units and instrument mapping are insufficient for a causal claim.

### Provenance

- [Article source](https://pmc.ncbi.nlm.nih.gov/articles/PMC11863793/) — Official publisher or PMC full text reviewed locally. Methods: General Information and biomarker screening; Results: Identification of Cardiometabolic-Related Biomarkers and ELISA Validation
- [Official supplementary material](https://www.dovepress.com/article/supplementary_file/495784/495784.docx) — Publisher-hosted supplementary document. Table S2, FCN2 and DEFA1 IVW, MR-Egger and weighted-median rows

Source review: 2026-10-27.

## Cite this paper

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

- [BibTeX](https://drgezhang.com/citations/doi-10-2147-jir-s495784.bib)
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## Links

- DOI: https://doi.org/10.2147/jir.s495784
- HTML page: https://drgezhang.com/papers/doi-10-2147-jir-s495784.html
- Google Scholar query: https://scholar.google.com/scholar?q=%22Identification%20of%20Cardiometabolic%20Protein%20Biomarkers%20for%20Acute%20Myocardial%20Infarction%20Using%20Olink%20Proteomics%22
- ORCID: https://orcid.org/0000-0002-3116-3246