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Causal Association of Golgi Protein 73 With Coronary Artery Disease: Evidence from Proteomics and Mendelian Randomization.

Authors :
Lin YF
Liao LZ
Wang SY
Zhang SZ
Zhong XB
Zhou HM
Xu XF
Xiong ZY
Huang YQ
Liu MH
Guo Y
Liao XX
Zhuang XD
Source :
International journal of medical sciences [Int J Med Sci] 2024 Aug 12; Vol. 21 (11), pp. 2127-2138. Date of Electronic Publication: 2024 Aug 12 (Print Publication: 2024).
Publication Year :
2024

Abstract

Background: Identification of the unknown pathogenic factor driving atherosclerosis not only enhances the development of disease biomarkers but also facilitates the discovery of new therapeutic targets, thus contributing to the improved management of coronary artery disease (CAD). We aimed to identify causative protein biomarkers in CAD etiology based on proteomics and 2-sample Mendelian randomization (MR) design. Methods: Serum samples from 33 first-onset CAD patients and 31 non-CAD controls were collected and detected using protein array. Differentially expressed analyses were used to identify candidate proteins for causal inference. We used 2-sample MR to detect the causal associations between the candidate proteins and CAD. Network MR was performed to explore whether metabolic risk factors for CAD mediated the risk of identified protein. Vascular expression of candidate protein in situ was also detected. Results: Among the differentially expressed proteins identified utilizing proteomics, we found that circulating Golgi protein 73 (GP73) was causally associated with incident CAD and other atherosclerotic events sharing similar etiology. Network MR approach showed low-density lipoprotein cholesterol and glycated hemoglobin serve as mediators in the causal pathway, transmitting 42.1% and 8.7% effects from GP73 to CAD, respectively. Apart from the circulating form of GP73, both mouse model and human specimens imply that vascular GP73 expression was also upregulated in atherosclerotic lesions and concomitant with markers of macrophage and phenotypic switching of vascular smooth muscle cells (VSMCs). Conclusions: Our study supported GP73 as a biomarker and causative for CAD. GP73 may involve in CAD pathogenesis mainly via dyslipidemia and hyperglycemia, which may enrich the etiological information and suggest future research direction on CAD.<br />Competing Interests: Competing Interests: The authors have declared that no competing interest exists.<br /> (© The author(s).)

Details

Language :
English
ISSN :
1449-1907
Volume :
21
Issue :
11
Database :
MEDLINE
Journal :
International journal of medical sciences
Publication Type :
Academic Journal
Accession number :
39239555
Full Text :
https://doi.org/10.7150/ijms.94179