Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
The rs3024839 and rs2227483 polymorphisms with immune pathomechanism offers a starting point for diagnosis and susceptibility testing of myocardial infarction
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 21 February 2026

The rs3024839 and rs2227483 polymorphisms with immune pathomechanism offers a starting point for diagnosis and susceptibility testing of myocardial infarction

  • Zahra Khosravi Nezhad1 na1,
  • Fateme Dehghani2 na1,
  • Sina Molavizade2,
  • Hadi Khanifar3 na1,
  • Mehri Ashrafi1 na1,
  • Maryam Azhdari4,
  • Maryam Faghih Abbasi1 na1,
  • Golshan Baratvand1 na1,
  • Sirous Naeimi5,
  • Khalil Khashei Varnamkhasti6 na1,
  • Raziyeh Naeimi7,
  • Samire Khashei Varnamkhasti6 na1 &
  • …
  • Elham Hemati8 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cardiology
  • Cell biology
  • Genetics
  • Health care
  • Immunology
  • Mechanisms of disease
  • Molecular biology
  • Molecular medicine
  • Risk factors

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

  1. 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).

    Google Scholar 

  2. Salari, N. et al. The global prevalence of myocardial infarction: a systematic review and meta-analysis. BMC Cardiovasc. Disord. 23(1), 206 (2023).

    Google Scholar 

  3. 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).

    Google Scholar 

  4. Gustafsson, S. et al. Markers of imminent myocardial infarction. Nat. Cardiovasc. Res. 3(2), 130–139 (2024).

    Google Scholar 

  5. 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).

    Google Scholar 

  6. 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).

    Google Scholar 

  7. Jukarainen, S. et al. Genetic risk factors have a substantial impact on healthy life years. Nat. Med. 28(9), 1893–1901 (2022A).

    Google Scholar 

  8. Ozaki, K. & Tanaka, T. Molecular genetics of coronary artery disease. J. Hum Genet. 61(1), 71–77 (2016).

    Google Scholar 

  9. 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).

    Google Scholar 

  10. 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).

    Google Scholar 

  11. Kishore, R. & Verma, S. K. Roles of STATs signaling in cardiovascular diseases. JAKSTAT. 1(2), 118–124 (2012).

    Google Scholar 

  12. 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).

    Google Scholar 

  13. Che, Y., Su, Z. & Xia, L. Effects of IL22 on cardiovascular diseases. Int. Immunopharmacol. 81, 106277 (2020).

    Google Scholar 

  14. 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).

    Google Scholar 

  15. 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).

    Google Scholar 

  16. 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).

    Google Scholar 

  17. 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).

    Google Scholar 

  18. 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).

    Google Scholar 

  19. 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).

    Google Scholar 

  20. 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).

    Google Scholar 

  21. 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).

    Google Scholar 

  22. 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).

    Google Scholar 

  23. 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).

    Google Scholar 

  24. 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).

    Google Scholar 

  25. 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).

    Google Scholar 

  26. 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).

    Google Scholar 

  27. 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).

    Google Scholar 

  28. 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).

    Google Scholar 

  29. 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).

    Google Scholar 

  30. 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).

    Google Scholar 

  31. 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).

    Google Scholar 

  32. 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).

    Google Scholar 

  33. 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).

    Google Scholar 

  34. 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).

    Google Scholar 

  35. Visel, A. et al. Targeted deletion of the 9p21 non-coding coronary artery disease risk interval in mice. Nature 464(7287), 409–412 (2010).

    Google Scholar 

Download references

Acknowledgements

Special thanks to the hospitals healthcare workers and all other staffs.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Author notes
  1. Zahra Khosravi Nezhad, Fateme Dehghani, Hadi Khanifar, Mehri Ashrafi, Maryam Faghih Abbasi, Golshan Baratvand, Khalil Khashei Varnamkhasti, Samire Khashei Varnamkhasti contributed equally to this work.

Authors and Affiliations

  1. Department of Biology, Kaz.C., Islamic Azad University, Kazerun, Iran

    Zahra Khosravi Nezhad, Mehri Ashrafi, Maryam Faghih Abbasi & Golshan Baratvand

  2. Clinical Research Development Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Fateme Dehghani & Sina Molavizade

  3. Department of Internal Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran

    Hadi Khanifar

  4. Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran

    Maryam Azhdari

  5. Department of Biology, Zand Institute of Higher Education, Shiraz, Iran

    Sirous Naeimi

  6. Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

    Khalil Khashei Varnamkhasti & Samire Khashei Varnamkhasti

  7. Department of Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

    Raziyeh Naeimi

  8. Department of Biology, ShK.C., Islamic Azad University, Shahrekord, Iran

    Elham Hemati

Authors
  1. Zahra Khosravi Nezhad
    View author publications

    Search author on:PubMed Google Scholar

  2. Fateme Dehghani
    View author publications

    Search author on:PubMed Google Scholar

  3. Sina Molavizade
    View author publications

    Search author on:PubMed Google Scholar

  4. Hadi Khanifar
    View author publications

    Search author on:PubMed Google Scholar

  5. Mehri Ashrafi
    View author publications

    Search author on:PubMed Google Scholar

  6. Maryam Azhdari
    View author publications

    Search author on:PubMed Google Scholar

  7. Maryam Faghih Abbasi
    View author publications

    Search author on:PubMed Google Scholar

  8. Golshan Baratvand
    View author publications

    Search author on:PubMed Google Scholar

  9. Sirous Naeimi
    View author publications

    Search author on:PubMed Google Scholar

  10. Khalil Khashei Varnamkhasti
    View author publications

    Search author on:PubMed Google Scholar

  11. Raziyeh Naeimi
    View author publications

    Search author on:PubMed Google Scholar

  12. Samire Khashei Varnamkhasti
    View author publications

    Search author on:PubMed Google Scholar

  13. Elham Hemati
    View author publications

    Search author on:PubMed Google Scholar

Contributions

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. .

Corresponding authors

Correspondence to Sirous Naeimi or Khalil Khashei Varnamkhasti.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics

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).

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received: 12 January 2025

  • Accepted: 09 February 2026

  • Published: 21 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-39886-6

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Myocardial infarction
  • rs3024839
  • rs2227483
  • STAT4
  • IL22
  • Pathomechanism
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing