Effects of Ninjurin 2 polymorphisms on susceptibility to coronary heart disease

ABSTRACT

Objective

The aim of this study was to explore the effects of Ninjurin 2 (NINJ2) polymorphisms on susceptibility to coronary heart disease (CHD).

Methods

We conducted a case-control study with 499 CHD cases and 505 age and gender-matched controls. Five single nucleotide polymorphisms (SNPs) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390, and rs11610368) were genotyped by the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression analysis to assess the association of NINJ2 polymorphisms and CHD risk-adjusted for age and gender. What’s more, risk genes and molecular functions were screened via protein-protein interaction (PPI) network and functional enrichment analysis.

Results

Rs118050317 in NINJ2 significantly increased CHD risk in people aged more than 60 years and women. Rs118050317 and rs7307242 had strong relationships with hypertension risk in CHD patients. Additionally, rs75750647 exceedingly raised diabetes risk in cases under multiple models, whereas rs10849390 could protect CHD patients from diabetes in allele, homozygote, and additive models. We also observed two blocks in NINJ2. Further interaction network and enrichment analysis showed that NINJ2 played a greater role in the pathogenesis and progression of CHD.

Conclusion

Our results suggest that NINJ2 polymorphisms are associated with CHD risk.

KEYWORDS:

• Coronary heart disease
• NINJ2
• stratification analysis

Acknowledgements

The authors thank all participants for their support and participation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contributions

Gang Tian was responsible for the study design. Yuping Yan and Xiaoyan Du contributed to manuscript preparation and writing. Xia Dou and Jingjie Li performed experiments and collected samples. Wenjie Zhang performed data acquisition. Shuangyu Yang and Wenting Meng contributed to data analysis and interpretation. Xiaoyan Du was responsible for the manuscript revision. All authors were responsible for drafting the manuscript, and they all read and approved the final version.

Data availability statement

All data generated or analyzed in this study are included in this published article.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15384101.2024.2330225

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.