Abstract
Long-term primary prevention of myocardial infarction faces challenges, but genetic risk assessment may change this dynamic. We sought for genetic risk loci influencing myocardial infarction and underlying pathomechanisms. AS-PCR used for mutation detection (STAT4_ rs3024839 and IL22_ rs2227483) and confirmed positives by sequencing and Digital PCR. STAT4 and IL22 mRNA levels and chromatin accessibility at SNP sites were evaluated. We assessed SNPs for association with myocardial underlying comorbidities as well as their predictive performance ability. The population flow-sorted CD4+ FOXP3+ Tregs and the level of Foxp3 mRNA were measured and TGF-β1 quantified using ELISA and intracellular staining assay. Immunophenotyping used to identify p53 expression, pro-inflammatory monocytes and circulating endothelial cells. More than 99% samples were positive for mutations. Significant differences in the mutated allele and genotype frequencies were identified at a p value cutoff of 0.05. Analyses identified SNPs as risk factors for comorbid factors with the ability in distinguishing high and low-risk individuals (AUC > 0.9). Differentially accessible chromatin regions influencing STAT4 and IL22 expression were found in risk loci. Lower circulating CD4+ FOXP3+Tregs, Foxp3 expression decline, decreasing TGF-β1 level, increased p53 level, inflammatory state and endothelial dysfunction were further validated. Discovered genotypes open novel opportunities for MI prediction.
Data availability
The datasets generated and/or analyzed during the current study are available in the [dbSNP] repository [http://www.ncbi.nlm.nih.gov/SNP]” and SNPs can be searched for using the dbSNP ID (rs3024839 (https://www.ncbi.nlm.nih.gov/snp/?term=rs3024839) and rs2227483 (https://www.ncbi.nlm.nih.gov/snp/?term=rs2227483)).
Abbreviations
- MI:
-
Myocardial infarction
- SNP:
-
Single nucleotide polymorphism
- HWE:
-
Hardy–Weinberg equilibrium
- ECG:
-
Electrocardiograph
- cTnI:
-
Cardiac troponin-I
- CK-MB:
-
Creatine kinase MB fraction
- STEMI:
-
ST elevation MI
- NSTEMI:
-
Non-ST elevation MI
- EDTA:
-
Ethylenediaminetetraacetic acid
- AS-PCR:
-
Allele-specific polymerase chain reaction
- ARMS:
-
Amplification refractory mutation system
- dPCR:
-
Digital PCR
- FAM:
-
6-Carboxyfluorescein
- VIC:
-
2′-Chloro-7′phenyl-1,4-dichloro-6-carboxy-fluorescein
- AUC:
-
Area under the curve
- ROC:
-
Receiver operating characteristic
- RT-qPCR:
-
Reverse transcription-quantitative PCR
- PI:
-
Propidium iodide
- TGF-β1:
-
Transforming growth factor-β1
- ELISA:
-
Enzyme-linked immunosorbent assay
- CECs:
-
Circulating endothelial cells
- ORs:
-
Odds ratios
- CIs:
-
Confidence intervals
- Fst:
-
F-statistics
- PCA:
-
Principal component analysis
- MFI:
-
Mean fluorescent intensity
- CVD:
-
Cardiovascular diseases
- GRS:
-
Genetic risk score
References
Caldwell, M., Martinez, L., Foster, J. G., Sherling, D. & Hennekens, C. H. Prospects for the primary prevention of myocardial infarction and stroke. J. Cardiovasc. Pharmacol. Ther. 24(3), 207–214 (2019).
Salari, N. et al. The global prevalence of myocardial infarction: a systematic review and meta-analysis. BMC Cardiovasc. Disord. 23(1), 206 (2023).
Laforgia, P. L., Auguadro, C., Bronzato, S. & Durante, A. The reduction of mortality in acute myocardial infarction: from bed rest to future directions. Int. J. Prev. Med. 13, 56 (2022).
Gustafsson, S. et al. Markers of imminent myocardial infarction. Nat. Cardiovasc. Res. 3(2), 130–139 (2024).
Roberts, R., Chang, C. C. & Hadley, T. Genetic risk stratification: a paradigm shift in prevention of coronary artery disease. JACC Basic Transl. Sci. 6(3), 287–304 (2021).
Nelson, C. P. et al. Association analyses based on false discovery rate implicate new loci for coronary artery disease. Nat. Genet. 49(9), 1385–1391 (2017s).
Jukarainen, S. et al. Genetic risk factors have a substantial impact on healthy life years. Nat. Med. 28(9), 1893–1901 (2022A).
Ozaki, K. & Tanaka, T. Molecular genetics of coronary artery disease. J. Hum Genet. 61(1), 71–77 (2016).
Vos, T. et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet 396, 1204–1222 (2020).
Bauer-Mehren, A., Furlong, L. I., Rautschka, M. & Sanz, F. From SNPs to pathways: integration of functional effect of sequence variations on models of cell signalling pathways. BMC Bioinform. 10(8), 6 (2009).
Kishore, R. & Verma, S. K. Roles of STATs signaling in cardiovascular diseases. JAKSTAT. 1(2), 118–124 (2012).
Zhang, X., Wang, Y. & Lv, J. STAT4 targets KISS1 to inhibit the oxidative damage, inflammation and neuronal apoptosis in experimental PD models by inactivating the MAPK pathway. Neurochem. Int. 175, 105683 (2024).
Che, Y., Su, Z. & Xia, L. Effects of IL22 on cardiovascular diseases. Int. Immunopharmacol. 81, 106277 (2020).
Standl, M. et al. Gene-Environment interaction affects risk of atopic eczema: population and in vitro studies. Allergy https://doi.org/10.1111/all.16605 (2025).
de Azevêdo, S. J. et al. Meta-analysis of STAT4 and IFIH1 polymorphisms in type 1 diabetes mellitus patients with autoimmune polyglandular syndrome type III. Genet Mol. Res. 14(4), 17730–17738. https://doi.org/10.4238/2015.Decemb.21.46 (2015).
von Elm, E. et al. STROBE initiative the strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. J. Clin. Epidemiol. 61(4), 344–9 (2008).
Khosravi Nezhad, Z., Naeimi, S., Moghanibashi, M. M. & Khashei, V. K. Correlation of STAT4 gene Polymorphism (rs3024839) with risk of myocardial infarction (MI). Med. J. Mashhad Univ. Med. Sci. 65(1), 12–20 (2022).
Ameri, A. et al. Spontaneous miscarriage driven bymaternal genetic mutation at position of PAI-1-844G/A: shed light on a race-specific genetic polymorphism. BMC Res. Notes. 16(1), 360 (2023).
Khashei Varnamkhasti, K. et al. Genetic evidence for predisposition to acute leukemias due to a missense mutation (p.Ser518Arg) in ZAP70 kinase: a case-control study. BMC Med. Genomics. 17(1), 200 (2024).
Khashei Varnamkhasti, K. et al. Multi-locus high-risk alleles association from interleukin’s genes with female infertility and certain comorbidities. BMC Res. Notes. 17(1), 344 (2024).
Khashei Varnamkhasti, K., Moghanibashi, M. & Naeimi, S. Implications of ZNF334 gene in lymph node metastasis of lung SCC: potential bypassing of cellular senescence. J. Transl. Med. 22(1), 372 (2024).
O’Malley, J. T. et al. Signal transducer and activator of transcription 4 limits the development of adaptive regulatory T cells. Immunology 127(4), 587–595 (2009).
Syrnioti, A. et al. Immunohistochemical evidence linking interleukin-22 tissue expression levels to FOXP3+ cells and neutrophil densities in the mycosis fungoides microenvironment. Cureus. 15(9), e46085 (2023).
Lin, J. T., Martin, S. L., Xia, L. & Gorham, J. D. TGF-beta 1 uses distinct mechanisms to inhibit IFN-gamma expression in CD4+ T cells at priming and at recall: differential involvement of Stat4 and T-bet. J. Immunol. 174(10), 5950–5958. https://doi.org/10.4049/jimmunol.174.10.5950 (2005).
Chang, J. H., Kim, Y. J., Han, S. H. & Kang, C. Y. IFN-gamma-STAT1 signal regulates the differentiation of inducible Treg: potential role for ROS-mediated apoptosis. Eur. J. Immunol. 39(5), 1241–1251. https://doi.org/10.1002/eji.200838913 (2009).
Yamamoto, M. et al. Endogenous interleukin-22 prevents cardiac rupture after myocardial infarction in mice. PLoS ONE 18(6), e0286907. https://doi.org/10.1371/journal.pone.0286907 (2023).
Zhu, X. Z. et al. The role of P53 in myocardial ischemia-reperfusion injury. Cardiovasc. Drugs Ther. 39(1), 195–209. https://doi.org/10.1007/s10557-023-07480-x (2025).
Dincer, Y., Himmetoglu, S., Bozcali, E., Vural, V. A. & Akcay, T. Circulating p53 and cytochrome c levels in acute myocardial infarction patients. J. Thromb. Thrombolysis. 29(1), 41–45. https://doi.org/10.1007/s11239-009-0328-0 (2010).
Bell, D. S. Inflammation, insulin resistance, infection, diabetes, and atherosclerosis. Endocr. Pract. 6(3), 272–276. https://doi.org/10.4158/EP.6.3.272 (2000).
Kishi, T. et al. Endothelial activation markers as disease activity and damage measures in juvenile dermatomyositis. J. Rheumatol. 47(7), 1011–1018. https://doi.org/10.3899/jrheum.181275 (2020).
Becker, F. et al. Genetic testing and common disorders in a public health framework: how to assess relevance and possibilities. background document to the ESHG recommendations on genetic testing and common disorders. Eur. J. Hum. Genet. 19(Suppl 1), S6-44 (2011).
Khoury, M. J. et al. The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention?. Genet Med. 9(10), 665–674 (2007).
Hickey, S. E., Curry, C. J. & Toriello, H. V. ACMG practice guideline: lack of evidence for MTHFR polymorphism testing. Genet Med. 15(2), 153–156. https://doi.org/10.1038/gim.2012.165 (2013).
Krarup, N. T. et al. A genetic risk score of 45 coronary artery disease risk variants associates with increased risk of myocardial infarction in 6041 Danish individuals. Atherosclerosis 240(2), 305–310 (2015).
Visel, A. et al. Targeted deletion of the 9p21 non-coding coronary artery disease risk interval in mice. Nature 464(7287), 409–412 (2010).
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Special thanks to the hospitals healthcare workers and all other staffs.
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Naeimi S & Khashei Varnamkhasti K, designed the study and critically reviewed the manuscript. Khosravi Nezhad Z, Dehghani F, Molavizade S, Khanifar H, Ashrafi M, Azhdari M, Faghih Abbasi M, Baratvand G, Khashei Varnamkhasti K, Naeimi R, Khashei Varnamkhasti S, Hemati E, performed formal analysis. Naeimi S & Khashei Varnamkhasti K, administrated project. Methodology; Naeimi S, Khashei Varnamkhasti K & Molavizade S. Khashei Varnamkhasti K, wrote the manuscript. The final manuscript has been approved by all authors. .
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This study was conducted in accordance with the approved institutional guidelines of the Islamic Azad University-Kazerun Branch in Iran. All participants signed the informed consent form and their data were anonymized prior to analysis. The Ethics Committee of the Islamic Azad University-Kazerun Branch in Iran approved this study and all experimental protocols (IR.IAU.KAU.REC.1398.045).
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Khosravi Nezhad, Z., Dehghani, F., Molavizade, S. et al. The rs3024839 and rs2227483 polymorphisms with immune pathomechanism offers a starting point for diagnosis and susceptibility testing of myocardial infarction. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39886-6
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DOI: https://doi.org/10.1038/s41598-026-39886-6