» Articles » PMID: 36005441

Protective Effects of Circulating TIMP3 on Coronary Artery Disease and Myocardial Infarction: A Mendelian Randomization Study

Overview
Authors
Affiliations
Soon will be listed here.
Abstract

Tissue inhibitor of metalloproteinase 3 (TIMP3) is a protease with high expression levels in the heart and plays an essential role in extracellular matrix turnover by maintaining equilibrium with matrix metalloproteinases. Considerable data in experimental models have demonstrated a protective role of TIMP3 in coronary artery disease (CAD) and myocardial infarction (MI). However, causality remains unexplored in population studies. Here, we sought to decipher the potential causality between TIMP3 and CAD/MI using the Mendelian randomization (MR) method. We extracted summary-level datasets for TIMP3 and CAD/MI from the genome-wide association studies performed in the KORA study and CARDIoGRAMplusC4D consortium, respectively. Seven independent SNPs were obtained as instrumental variables for TIMP3. The MR analyses were replicated using FinnGen datasets, and the main results were combined in meta-analyses. Elevated genetically predicted serum TIMP3 levels were causally associated with a lower risk of CAD [odds ratio (OR), 0.97; 95% confidence interval (CI), 0.95, 0.98; = 5.29 × 10] and MI (OR, 0.96; 95% CI, 0.95, 0.98; = 3.85 × 10). The association patterns persisted in the meta-analyses combining the different datasets (CAD: OR, 0.97; 95% CI, 0.96, 0.99; = 4.37 × 10; MI: OR, 0.97; 95% CI, 0.96, 0.99; = 9.96 × 10) and was broadly consistent across a set of complementary analyses. Evidence of heterogeneity and horizontal pleiotropy was limited for all associations considered. In conclusion, this MR study supports inverse causal associations between serum TIMP3 and the risk of CAD and MI. Strategies for raising TIMP3 levels may offer new avenues for the prevention strategies of atherosclerotic cardiovascular diseases.

Citing Articles

Unveiling TIMPs: A Systematic Review of Their Role as Biomarkers in Atherosclerosis and Coronary Artery Disease.

Aminuddin A, Samah N, Vijakumaran U, Che Roos N, Mohd Nor F, Wan Razali W Diseases. 2024; 12(8).

PMID: 39195176 PMC: 11353419. DOI: 10.3390/diseases12080177.


Celiac disease and attention-deficit/hyperactivity disorder: a bidirectional Mendelian randomization analysis.

Chen J, Zhu Q, Li L, Xue Z Front Psychiatry. 2024; 15:1291096.

PMID: 38868492 PMC: 11167073. DOI: 10.3389/fpsyt.2024.1291096.


Causal effect of serum matrix metalloproteinase levels on venous thromboembolism: a Mendelian randomization study.

Han D, Yu F, Zheng L Epidemiol Health. 2024; 46:e2024046.

PMID: 38697862 PMC: 11417446. DOI: 10.4178/epih.e2024046.


Tissue Inhibitor of Metalloproteinase 3: Unravelling Its Biological Function and Significance in Oncology.

Lee W, Wu P, Cheng Y, Huang Y Int J Mol Sci. 2024; 25(6).

PMID: 38542164 PMC: 10970424. DOI: 10.3390/ijms25063191.


The TIMP protein family: diverse roles in pathophysiology.

Coates-Park S, Rich J, Stetler-Stevenson W, Peeney D Am J Physiol Cell Physiol. 2024; 326(3):C917-C934.

PMID: 38284123 PMC: 11193487. DOI: 10.1152/ajpcell.00699.2023.


References
1.
Lindsey M, Gannon J, Aikawa M, Schoen F, Rabkin E, Lopresti-Morrow L . Selective matrix metalloproteinase inhibition reduces left ventricular remodeling but does not inhibit angiogenesis after myocardial infarction. Circulation. 2002; 105(6):753-8. DOI: 10.1161/hc0602.103674. View

2.
Nuttall R, Sampieri C, Pennington C, Gill S, Schultz G, Edwards D . Expression analysis of the entire MMP and TIMP gene families during mouse tissue development. FEBS Lett. 2004; 563(1-3):129-34. DOI: 10.1016/S0014-5793(04)00281-9. View

3.
Burgess S, Bowden J, Fall T, Ingelsson E, Thompson S . Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants. Epidemiology. 2016; 28(1):30-42. PMC: 5133381. DOI: 10.1097/EDE.0000000000000559. View

4.
Kamat M, Blackshaw J, Young R, Surendran P, Burgess S, Danesh J . PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics. 2019; 35(22):4851-4853. PMC: 6853652. DOI: 10.1093/bioinformatics/btz469. View

5.
Wight T, Merrilees M . Proteoglycans in atherosclerosis and restenosis: key roles for versican. Circ Res. 2004; 94(9):1158-67. DOI: 10.1161/01.RES.0000126921.29919.51. View