Evidence map›Paper›PMID 40719081›Full record

ArticleJournal of diabetes2025

Gene-Smoking Interaction in Insulin Sensitivity and β-Cell Function Among Normal Glucose Tolerance Individuals.

Pan Gu, Shuai Zheng, Sijie Zhang, Jie Yuan, Hao Hong, Jinglan Dai, Jingyi Zhao, Kuanfeng Xu, Tao Yang, Qi Fu and 2 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Pan GuDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Shuai ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.
Sijie ZhangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.
Jie YuanDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hao HongDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jinglan DaiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jingyi ZhaoDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Kuanfeng XuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.
Tao YangDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-6375-3622
Qi FuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.
Sipeng ShenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hao DaiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-0963-3296

Funding

Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University) Clinical Capacity Enhancement Project JSPH-MC-2023-27National Natural Science Foundation of China 82070803National Natural Science Foundation of China 82200888National Natural Science Foundation of China 82373685Natural Science Foundation of Jiangsu Province BK20220714Open Research Fund Program of Changzhou Institute for Advanced Study of Public Health, Nanjing Medical University CPHM202301the China International Medical Foundation Z-2017-26-1902-4the Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0507000
6 · The paper itself

Abstract

objectiveTo identify genetic loci that exhibit potential interactions with smoking status on insulin sensitivity and islet β-cell function within normal glucose tolerance (NGT) populations.

methodsAll participants underwent an OGTT to confirm NGT status, followed by assessments of insulin sensitivity and β-cell function. Analyses were performed in NGT participants from Nanjing (N = 4808) and Jurong (N = 508) for discovery and validation, respectively. Smoking status was categorized into nonsmokers and smokers. After excluding ineligible individuals, a two-stage genome-wide interaction association analysis (GWIS) was conducted in NGT individuals, with the discovery phase (N = 1377) identifying gene-environment interactions and the validation phase (N = 485) confirming significant loci. Subsequent analyses included stratified analysis and expression quantitative trait locus (eQTL) colocalization.

resultsGWIS identified ten SNPs in three loci, including rs4713207 (OR14J1, P

conclusionsOur findings reveal gene-smoking interactions that affect insulin sensitivity and β-cell function, providing new insights into the heterogeneity of metabolic phenotypes and advancing personalized risk assessment.

Indexed as

Gene-Environment InteractionInsulin ResistanceInsulin-Secreting CellsSmokingAdultBlood GlucoseFemaleGenome-Wide Association StudyGenotypeGlucose Tolerance TestHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociBlood Glucosegene–environment interactioninsulin sensitivitysmokingβ‐Cell function

Identifiers

PMID40719081
PMCPMC12301937

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.