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Identification of Molecular Markers Predicting the Outcome of Anti-thrombotic Therapy After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome and Atrial fibrillation: Evidence from a Meta-analysis and Experimental Study

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Abstract

Acute coronary syndrome (ACS) and atrial fibrillation (AF) often coexist in clinical practice, and patients with these conditions often have a critical illness with high risk of both ischemia and bleeding. This study aims to report potential molecular markers for predicting the efficacy based on a meta-analysis of microarray data from the GEO database. In 40 patients with acute coronary syndrome (ACS) and atrial fibrillation (AF) treated with PCI, P2RX1’s effects on platelet aggregation, medication resistance, and predictive value were examined. Twenty up-regulated genes in peripheral blood samples of ACS and AF patients were down-regulated after PCI, while 7 down-regulated genes were up-regulated. ACS affected eight potential genes. P2RX1, one of the four LASSO analysis-retrieved disease characteristic genes, accurately predicted AF patients’ thrombosis risk and PCI’s anti-thrombotic impact. Therefore, P2RX1 may be a molecular marker to predict the effect of anti-thrombotic therapy in patients with ACS and AF after PCI.

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Data Availability

The data that supports the findings of this study are available on request from the corresponding author.

References

  1. January CT, Wann LS, Calkins H, Chen LY, Cigarroa JE, Cleveland JC Jr, et al. 2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2019;74:104–32. https://doi.org/10.1016/j.jacc.2019.01.011.

    Article  PubMed  Google Scholar 

  2. Angiolillo DJ, Bhatt DL, Cannon CP, Eikelboom JW, Gibson CM, Goodman SG, et al. Antithrombotic therapy in patients with atrial fibrillation treated with oral anticoagulation undergoing percutaneous coronary intervention: a North American perspective: 2021 update. Circulation. 2021;143:583–96. https://doi.org/10.1161/CIRCULATIONAHA.120.050438.

    Article  CAS  PubMed  Google Scholar 

  3. Narasimhan B, Patel N, Chakraborty S, Bandyopadhyay D, Sreenivasan J, Hajra A, et al. Impact of atrial fibrillation on acute coronary syndrome-analysis of in-hospital outcomes and 30-day readmissions. Curr Probl Cardiol. 2021;46:100764. https://doi.org/10.1016/j.cpcardiol.2020.100764.

    Article  PubMed  Google Scholar 

  4. Bergmark BA, Mathenge N, Merlini PA, Lawrence-Wright MB, Giugliano RP. Acute coronary syndromes. Lancet. 2022;399:1347–58. https://doi.org/10.1016/S0140-6736(21)02391-6.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gibson CM, Mehran R, Bode C, Halperin J, Verheugt FW, Wildgoose P, et al. Prevention of bleeding in patients with atrial fibrillation undergoing PCI. N Engl J Med. 2016;375:2423–34. https://doi.org/10.1056/NEJMoa1611594.

    Article  CAS  PubMed  Google Scholar 

  6. Menditto A, Antonicelli R. Is dual therapy the correct strategy in frail elderly patients with atrial fibrillation and acute coronary syndrome? J Geriatr Cardiol. 2020;17:51–7. https://doi.org/10.11909/j.issn.1671-5411.2020.01.004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J. 2016;37:2893–962. https://doi.org/10.1093/eurheartj/ehw210.

    Article  PubMed  Google Scholar 

  8. Fagerberg SK, Patel P, Andersen LW, Lui X, Donnino MW, Praetorius HA. Erythrocyte P2X(1) receptor expression is correlated with change in haematocrit in patients admitted to the ICU with blood pathogen-positive sepsis. Crit Care. 2018;22:181. https://doi.org/10.1186/s13054-018-2100-3.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhuang S, Xia S, Huang P, Wu J, Qu J, Chen R, et al. Targeting P2RX1 alleviates renal ischemia/reperfusion injury by preserving mitochondrial dynamics. Pharmacol Res. 2021;170:105712. https://doi.org/10.1016/j.phrs.2021.105712.

    Article  CAS  PubMed  Google Scholar 

  10. Bongiovanni D, Santamaria G, Klug M, Santovito D, Felicetta A, Hristov M, et al. Transcriptome analysis of reticulated platelets reveals a prothrombotic profile. Thromb Haemost. 2019;119:1795–806. https://doi.org/10.1055/s-0039-1695009.

    Article  PubMed  Google Scholar 

  11. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med. 2009;151:W65–94. https://doi.org/10.7326/0003-4819-151-4-200908180-00136.

    Article  PubMed  Google Scholar 

  12. Balduzzi S, Rucker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019;22:153–60. https://doi.org/10.1136/ebmental-2019-300117.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chen D, Liu J, Zang L, Xiao T, Zhang X, Li Z, et al. Integrated machine learning and bioinformatic analyses constructed a novel stemness-related classifier to predict prognosis and immunotherapy responses for hepatocellular carcinoma patients. Int J Biol Sci. 2022;18:360–73. https://doi.org/10.7150/ijbs.66913.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Ten Berg JM, de Veer A, Oldgren J, Steg PG, Zateyshchikov DA, Jansky P, et al. Switching of oral anticoagulation therapy after PCI in patients with atrial fibrillation: the RE-DUAL PCI trial subanalysis. JACC Cardiovasc Interv. 2019;12:2331–41. https://doi.org/10.1016/j.jcin.2019.08.039.

    Article  PubMed  Google Scholar 

  15. Yasuda S, Kaikita K, Akao M, Ako J, Matoba T, Nakamura M, et al. Antithrombotic therapy for atrial fibrillation with stable coronary disease. N Engl J Med. 2019;381:1103–13. https://doi.org/10.1056/NEJMoa1904143.

    Article  CAS  PubMed  Google Scholar 

  16. Jia W, Jia Q, Zhang Y, Zhao X, Wang Y. Association between insulin resistance and aspirin or clopidogrel resistance in Chinese patients with recent ischemic stroke/TIA. Neurol Res. 2021;43:406–11. https://doi.org/10.1080/01616412.2020.1866371.

    Article  CAS  PubMed  Google Scholar 

  17. Jiang L, Zhang M, Wu J, Wang S, Yang X, Yi M, et al. Exploring diagnostic m6A regulators in endometriosis. Aging. 2020;12:25916–38. https://doi.org/10.18632/aging.202163.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Sangkuhl K, Shuldiner AR, Klein TE, Altman RB. Platelet aggregation pathway. Pharmacogenet Genomics. 2011;21:516–21. https://doi.org/10.1097/FPC.0b013e3283406323.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Kato ET, Goto S, Giugliano RP. Overview of oral antithrombotic treatment in elderly patients with atrial fibrillation. Ageing Res Rev. 2019;49:115–24. https://doi.org/10.1016/j.arr.2018.10.006.

    Article  CAS  PubMed  Google Scholar 

  20. Investigators AWGotA, Connolly S, Pogue J, Hart R, Pfeffer M, Hohnloser S, et al. Clopidogrel plus aspirin versus oral anticoagulation for atrial fibrillation in the atrial fibrillation clopidogrel trial with irbesartan for prevention of vascular events (ACTIVE W): a randomised controlled trial. Lancet. 2006;367:1903–12. https://doi.org/10.1016/S0140-6736(06)68845-4.

    Article  CAS  Google Scholar 

  21. Lamberts M, Gislason GH, Olesen JB, Kristensen SL, Schjerning Olsen AM, Mikkelsen A, et al. Oral anticoagulation and antiplatelets in atrial fibrillation patients after myocardial infarction and coronary intervention. J Am Coll Cardiol. 2013;62:981–9. https://doi.org/10.1016/j.jacc.2013.05.029.

    Article  CAS  PubMed  Google Scholar 

  22. Lamberts M, Olesen JB, Ruwald MH, Hansen CM, Karasoy D, Kristensen SL, et al. Bleeding after initiation of multiple antithrombotic drugs, including triple therapy, in atrial fibrillation patients following myocardial infarction and coronary intervention: a nationwide cohort study. Circulation. 2012;126:1185–93. https://doi.org/10.1161/CIRCULATIONAHA.112.114967.

    Article  PubMed  Google Scholar 

  23. Wang W, Huang Q, Pan D, Zheng W, Zheng S. The optimal duration of triple antithrombotic therapy in patients with atrial fibrillation and acute coronary syndrome or undergoing percutaneous coronary intervention: a network meta-analysis of randomized clinical trials. Int J Cardiol. 2022;357:33–8. https://doi.org/10.1016/j.ijcard.2022.03.047.

    Article  PubMed  Google Scholar 

  24. Wang X, Yuan X, Su Y, Hu J, Ji Q, Fu S, et al. Targeting purinergic receptor P2RX1 modulates intestinal microbiota and alleviates inflammation in colitis. Front Immunol. 2021;12:696766. https://doi.org/10.3389/fimmu.2021.696766.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Wang X, Hu LP, Qin WT, Yang Q, Chen DY, Li Q, et al. Identification of a subset of immunosuppressive P2RX1-negative neutrophils in pancreatic cancer liver metastasis. Nat Commun. 2021;12:174. https://doi.org/10.1038/s41467-020-20447-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Xu Y, Zou B, Fan B, Li B, Yu J, Wang L, et al. NcRNAs-mediated P2RX1 expression correlates with clinical outcomes and immune infiltration in patients with breast invasive carcinoma. Aging. 2022;14:4471–85. https://doi.org/10.18632/aging.204087.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Ma C, Luo H, Cao J, Zheng X, Zhang J, Zhang Y, et al. Identification of a novel tumor microenvironment-associated eight-gene signature for prognosis prediction in lung adenocarcinoma. Front Mol Biosci. 2020;7:571641. https://doi.org/10.3389/fmolb.2020.571641.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Yu Y, Chang L, Hu Q, Zhu J, Zhang J, Xia Q, et al. P2rx1 deficiency alleviates acetaminophen-induced acute liver failure by regulating the STING signaling pathway. Cell Biol Toxicol. 2023; https://doi.org/10.1007/s10565-023-09800-1.

  29. Li Q, Li M, Yu X, He J, Gao Y, Zhang X, et al. Impact of mean platelet aggregation degree on long-term clinical outcomes among patients undergoing a complex percutaneous coronary intervention. Coron Artery Dis. 2017;28:478–85. https://doi.org/10.1097/MCA.0000000000000512.

    Article  PubMed  Google Scholar 

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Funding

This study was funded by the Basic Scientific Research of Higher Colleges and Universities in Heilongjiang Province (2022-KYYWF-0791).

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Authors and Affiliations

Authors

Contributions

Jingrui Li, Hongwei Xin, and Baihui Zhang wrote the paper and conceived and designed the experiments; Yanhong Guo and Yuanyuan Ding analyzed the data; Jingrui Li and Hongwei Xin collected and provided the sample for this study. All authors have read and approved the final submitted manuscript.

Corresponding author

Correspondence to Xiaojie Wu.

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Ethics Approval and Consent to Participate

Our study was approved by the clinical ethics committee of The Second Affiliated Hospital of Qiqihar Medical University, and all patients signed an informed consent form prior to enrolment.

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Not applicable.

Competing Interests

The authors declare no competing interests.

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Associate Editor Craig M. Stolen oversaw the review of this article

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Li, J., Xin, H., Zhang, B. et al. Identification of Molecular Markers Predicting the Outcome of Anti-thrombotic Therapy After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome and Atrial fibrillation: Evidence from a Meta-analysis and Experimental Study. J. of Cardiovasc. Trans. Res. 16, 1408–1416 (2023). https://doi.org/10.1007/s12265-023-10416-3

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