Evidence map›Paper›PMID 42089960›Full record

ArticleActa diabetologica2026

In vitro and in silico analysis of three variants associated with type 2 diabetes.

Seyyed Amin Seyyed Rezaei, Moein Kohkalani, Maghsoud Mehri, Sima Mansoori Derakhshan, Fernando Berton Zanchi, Rafael Andrade Caceres, Akbar Amirfiroozi

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Article in Acta diabetologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Seyyed Amin Seyyed RezaeiFaculty of Medicine, Department of Medical Genetics, Tabriz University of Medical Sciences, Tabriz, Iran.
Moein KohkalaniFaculty of Medicine, Department of Medical Genetics, Tabriz University of Medical Sciences, Tabriz, Iran.
Maghsoud MehriFaculty of Medicine, Department of Medical Genetics, Tabriz University of Medical Sciences, Tabriz, Iran.
Sima Mansoori DerakhshanFaculty of Medicine, Department of Medical Genetics, Tabriz University of Medical Sciences, Tabriz, Iran.
Fernando Berton ZanchiLaboratory of Bioinformatics and Medicinal Chemistry, Oswaldo Cruz Foundation Rondônia (LABIOQUIM-Fiocruz-RO), Porto Velho, RO, Brazil.
Rafael Andrade CaceresLaboratório de Bioinformática Estrutural, Modelagem Molecular e Simulação de Biossistemas-Programa de Pós-Graduação em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre-UFCSPA, Porto Alegre, 90050-170, Rio Grande do Sul, Brazil.
Akbar AmirfirooziFaculty of Medicine, Department of Medical Genetics, Tabriz University of Medical Sciences, Tabriz, Iran. amirfiroozy.a@gmail.com.ORCID http://orcid.org/0009-0002-4416-3517

Funding

Tabriz University of Medical Sciences 76508
6 · The paper itself

Abstract

backgroundCommon regulatory and coding variants may influence type 2 diabetes (T2D) risk by altering gene regulation or protein function. Identifying these variants and their associations with disease risk may inform disease control strategies. This study prioritized candidate variants by integrating two-group comparative genotyping with in-silico structural and dynamic analyses.

methodsThree prioritized variants (two missense, one TF-binding-site) were genotyped in 101 T2D cases and 100 controls from the Azeri population of Iran. Variant calls were validated by Sanger sequencing. Structural modelling, ligand docking, and 100-nanosecond molecular dynamics simulations were performed to assess molecular consequences.

resultsThe TF-binding-site variant in PPP2R3A (rs184442184) was significantly associated with T2D (allelic OR ≈ 1.71, p = 0.014; TT OR ≈ 2.92, p = 0.020) and is located at a RegulomeDB 2a site overlapping EGR1/SP motifs. SLC39A11 (ZIP11) rs61736066 (A allele) was enriched in cases (allelic OR ≈ 1.87, p = 0.002; AA OR ≈ 3.49, p = 0.005), and the variant model demonstrated increased RMSD/RMSF, helix displacement, and modest destabilization. The TPCN2 missense variant exhibited only subtle in-silico effects and no genetic association.

conclusionThese findings highlight PPP2R3A rs184442184 and SLC39A11 rs61736066 as promising T2D candidate variants, supported by concordant genetic signals and mechanistic in-silico effects. The TPCN2 substitution demonstrated only mild structural changes and no association in this study. Overall, these results provide testable biological hypotheses that require validation through larger replication studies and targeted functional assays.

Indexed as

Diabetes Mellitus, Type 2Protein Phosphatase 2Binding SitesComputer SimulationFemaleGenetic Predisposition to DiseaseGenotypeHumansIranMaleMiddle AgedMolecular Dynamics SimulationMutation, MissensePolymorphism, Single NucleotideProtein Phosphatase 2GeneticsPolymorphismT2DType 2 diabetesVariants

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.