Evidence map›Paper›PMID 40148977›Full record

ArticleDiabetology & metabolic syndrome2025

Genetic association of long non-coding RNA ANRIL polymorphism with the risk of type 2 diabetes mellitus in the Chinese Han population.

Xinyi Li, Aige Yang, Xiao Liu, Rui Zhang, Huimin Zhou, Shunjiang Xu

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Xinyi LiDepartment of Emergency, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China.
Aige YangDepartment of Endocrinology and Metabolism, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China.
Xiao LiuDepartment of Endocrinology and Metabolism, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China.
Rui ZhangDepartment of Endocrinology and Central Laboratory, The First Hospital of Hebei Medical University, No.89, Donggang Road, 050031, Shijiazhuang, China.
Huimin ZhouHebei International Joint Research Center for Brain Science, Shijiazhuang, 050031, China. Zhouhuimin050@163.com.
Shunjiang XuDepartment of Endocrinology and Central Laboratory, The First Hospital of Hebei Medical University, No.89, Donggang Road, 050031, Shijiazhuang, China. shunxieh557@163.com.

Funding

Special Funding for Local Science and Technology Development Guided by the Central Government 206Z7701Gthe Key Projects of Hebei Administration of Traditional Chinese Medicine Z2022015The Science and Technology project of the People's Livelihood in Hebei Province 20377707D
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is closely associated with both environmental and genetic factors, involving multi-gene inheritance. This study examined the association between the polymorphic locus rs10757278 in long non-coding RNA ANRIL and T2DM.

methodsPolymerase chain reaction (PCR) was used to detect the rs10757278 polymorphism in the ANRIL gene. RT-qPCR measured ANRIL expression levels, and logistic regression identified independent risk factors for T2DM. Furthermore, the receiver operating characteristic (ROC) curve was constructed to evaluate the clinical diagnostic value of serum ANRIL levels in diagnosing T2DM.

resultsThe rs10757278 polymorphism of the ANRIL was associated with the development of T2DM. Specifically, the G allele increases the risk of T2DM, and individuals carrying the GG genotype have a higher risk of developing the disease. Significant differences were found in low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) among T2DM patients with different genotypes of ANRIL rs10757278. The relative FPG and HbA1c levels were relatively lower in individuals with the AA genotype and higher in those with the GG genotype. Moreover, serum ANRIL levels in the T2DM group were lower than in the control group. Body mass index (BMI), the rs10757278 locus, and serum ANRIL levels were independent risk factors for the development of T2DM. The ROC curve showed that serum ANRIL levels have significant clinical diagnostic value for the diagnosis of T2DM.

conclusionThe rs10757278 polymorphism in ANRIL was strongly associated with the genetic predisposition to T2DM.

Indexed as

ANRILGenotypePolymorphismRs10757278Type 2 diabetes mellitus (T2DM)

Identifiers

PMID40148977
PMCPMC11951501

What Socratic holds

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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 Socratic graph.