Evidence map›Paper›PMID 39801688›Full record

ArticleJournal of diabetes and metabolic disorders2025

Association of resistin rs1862513, rs10401670 and rs3745367 polymorphisms with resistin level and insulin resistance in an Iranian type 2 diabetic population.

Mehdi Hedayati, Masoumeh Nezhadali, Helma Karimi, Maryam Sadat Daneshpour, Leila Najd-Hassan-Bonab, Nilofar Sayyar

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Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mehdi HedayatiCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Science, Tehran, Iran.
Masoumeh NezhadaliDepartment of Biology, Islamshahr Branch, Islamic Azad University, Islamshahr, Tehran, Iran.ORCID 0000-0002-3931-9807
Helma KarimiDepartment of Biology, Islamshahr Branch, Islamic Azad University, Islamshahr, Tehran, Iran.
Maryam Sadat DaneshpourCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Science, Tehran, Iran.
Leila Najd-Hassan-BonabCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Science, Tehran, Iran.
Nilofar SayyarDepartment of Biology, Islamshahr Branch, Islamic Azad University, Islamshahr, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study investigates the association of single nucleotide polymorphisms (SNP) in resistin gene (RETN) with resistin level, insulin resistance, and the risk of type 2 diabetes in an early diagnosed type 2 diabetic population of Iran. Methods: The total of 80 healthy subjects and 80 individuals diagnosed with type 2 diabetes. To ascertain the genotypes of rs1862513 and rs3745367, we performed the polymerase chain reaction with restriction fragment length polymorphism (PCR-RFLP) technique. The genotyping of resistin rs10401670 was conducted a Tetra-arms amplification system. Resistin and insulin levels were also measured by the ELISA method. Statistical analyses were performed by SPSS software. Results: Resistin level was increased significantly in patients with type 2 diabetes; a significant difference was seen in biochemical parameters between diabetic and non-diabetic group except high-density lipoprotein cholesterol (HDL-C), low density lipoprotein (LDL-C), and insulin. We did not find statistically a significant association between type 2 diabetes mellitus [T2DM] and resistin gene at SNP. However, rs3745367 exhibit a significant association with resistin level among individuals with diabetes. The serum resistin level exhibited a positive association level with body mass index, FPG and insulin resistance. Additionally, anegative correlation between resistin levels and age, as well as HDL-C was also revealed (P-value < 0.05). Conclusions: No significant association was observed between the rs1862513, rs10401670, and rs3745367 polymorphisms, with the susceptibility to type 2 diabetes. The serum resistin levels was positively correlated body with mass index, FPG and insulin resistance, but negatively correlated with HDL-C.

Indexed as

AdiponectinADIPOQInsulin resistanceResistinType 2 diabetes

Identifiers

PMID39801688
PMCPMC11711605

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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.