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All Journal Indonesian Journal of Multidisciplinary on Social and Technology
Adi Priyono
Universitas Pertahanan
Computer Science & IT Economics, Econometrics & Finance Engineering Social Sciences

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Integration of PTP1B Genetic Variation and Clinical Factors in Risk Stratification of Insulin Resistance in Type 2 Diabetes Mellitus: Scoping Review Achmad Sufa Ramdlani Al Kindi; Syahrul Tuba; Adi Priyono; Budi Sumaryono; Endah Permata Sari
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 2 (2026): Maret - Juni
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i2.10472

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a complex metabolic disease characterized by insulin resistance. The protein Tyrosine Phosphatase 1B (PTP1B) acts as a negative regulator of insulin signaling pathways, and its genetic variation is known to affect insulin sensitivity. The integration of PTP1B genomic data with clinical factors such as BMI, age, and metabolic parameters has the potential to improve the accuracy of insulin resistance risk stratification. Objective: This study aims to review the potential integration of PTP1B genetic variation with clinical factors in the risk stratification of insulin resistance in patients with T2DM. Methods: This study uses a scoping review method by searching the literature through PubMed, Scopus, and Google Scholar (2016–2025) using related keywords. Relevant articles were selected based on inclusion-exclusion criteria and analyzed qualitatively through narrative synthesis. Results: PTP1B variations such as rs6067472, rs2143511, and rs3787348 showed associations with insulin resistance, adiposity, and metabolic response. These genetic effects are influenced by clinical factors, especially BMI and physical activity, and are amplified by epigenetic mechanisms in the form of promoter methylation, which overall improves risk stratification ability. Conclusions: The integration of PTP1B genetic variation with clinical and epigenetic factors provides a comprehensive approach in stratification of insulin resistance risk in T2DM, and has the potential to support the implementation of more accurate and personalized precision medicine.
Co-Authors Achmad Sufa Ramdlani Al Kindi Budi Sumaryono Endah Permata Sari Syahrul Tuba