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Polymorphisms in insulin regulation and type 2 diabetes: A narrative review of risk and management in Asian populations

  • Farizky Martriano Humardani
  • , Sulistyo Emantoko Dwi Putra
  • , Ratih Asmana Ningrum
  • , I. Wayan Arsana Wiyasa
  • , Lisa Thalia Mulyanata
  • , Risma Ikawaty
  • , Agustina Tri Endharti*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

The scientific literature extensively discusses the role of single nucleotide polymorphisms (SNPs) in the etiology of type 2 diabetes (T2D). However, the specific mechanisms linking SNPs to T2D remain incompletely understood. Historically, the development of T2D has been attributed to insulin resistance and dysfunction in insulin secretion. The primary aim of this review is to assess the risk of T2D based on its pathophysiology through genetic analysis, with a particular focus on Asian populations, given the ethnic variability in SNPs, and to propose personalized therapeutic strategies. This review identified SNPs involved in insulin regulation, including those related to insulin synthesis and secretion, insulin degradation, peripheral insulin sensitivity, and circadian rhythms. Furthermore, SNPs influencing the response to T2D medications, including biguanides, thiazolidinediones, non-sulfonylurea secretagogues, and sulfonylureas have been identified. Identification of SNPs associated with T2D risk and drug responses suggests that genetic screening could play a key role in both prevention and treatment, offering personalized strategies based on an individual’s genetic profile. Moreover, early identification of SNPs before disease manifestation presents an opportunity for prevention, as epigenetic factors influenced by lifestyle changes may alter disease risk. Further studies are needed to fully understand the mechanisms linking SNPs to T2D and to develop personalized therapies, with a particular focus on Asian populations.

Original languageEnglish
Pages (from-to)76-91
Number of pages16
JournalEurasian Journal of Medicine and Oncology
Volume9
Issue number1
DOIs
Publication statusPublished - 20 Mar 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Insulin regulation
  • Precision medicine
  • Risk assessment
  • Single nucleotide polymorphisms
  • Type 2 diabetes

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