Insulin-like growth factor (IGF) and Insulin-like growth factor binding proteins (IGFBP) as predictors of type 2 diabetes risk in obese adults.

IF 2.1 Q4 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes and Metabolic Disorders Pub Date : 2025-10-13 eCollection Date: 2025-12-01 DOI:10.1007/s40200-025-01753-y

Priyanshi Maurya, Jun Yang, Allan Barnes, Lisa R Yanek, Lewis C Becker, Allen D Everett, Dhananjay Vaidya

{"title":"Insulin-like growth factor (IGF) and Insulin-like growth factor binding proteins (IGFBP) as predictors of type 2 diabetes risk in obese adults.","authors":"Priyanshi Maurya, Jun Yang, Allan Barnes, Lisa R Yanek, Lewis C Becker, Allen D Everett, Dhananjay Vaidya","doi":"10.1007/s40200-025-01753-y","DOIUrl":null,"url":null,"abstract":"Aims: Obesity predisposes to Type 2 Diabetes, however, not all obese persons progress to diabetes; thus, risk stratification among non-diabetes people with obesity is important. Insulin-like Growth Factor-1 and Insulin-like Growth Factor Binding Proteins modulate metabolism and may predict diabetes in high-risk adults. We aim to investigate whether their levels predict future diabetes risk in non-diabetes individuals with obesity.Methods: In this case-cohort analysis nested within the Johns Hopkins GeneSTAR study, 40 incident diabetes cases and 40 random cohort sample with a BMI ≥30 kg/m2 at baseline (38% males, 50% African Americans, age range 22-69 years) were followed for incident diabetes for ≥10 years. Sampling-weighted logistic regression assessed the relationship between baseline IGF/IGFBP biomarkers measured by ELISA and diabetes risk.Results: Higher baseline levels of IGF1, IGFBP1, IGFBP2, IGFBP3, and IGFBP6 predicted decreased odds of developing diabetes over 10 years when adjusted for sex, race, baseline age, and follow-up time. This association remained statistically significant for IGFBP2, IGFBP3, and IGFBP6 after adjusting for fasting baseline glucose.Conclusions: IGF/IGFBP complex proteins may serve as early indicators for diabetes risk beyond fasting glucose levels. Future studies should investigate the functional role of the IGF/IGFBP system in obesity, glucose metabolism, and diabetes prevention.Supplementary information: The online version contains supplementary material available at 10.1007/s40200-025-01753-y.","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 2","pages":"226"},"PeriodicalIF":2.1000,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12518727/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes and Metabolic Disorders","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40200-025-01753-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

Aims: Obesity predisposes to Type 2 Diabetes, however, not all obese persons progress to diabetes; thus, risk stratification among non-diabetes people with obesity is important. Insulin-like Growth Factor-1 and Insulin-like Growth Factor Binding Proteins modulate metabolism and may predict diabetes in high-risk adults. We aim to investigate whether their levels predict future diabetes risk in non-diabetes individuals with obesity.

Methods: In this case-cohort analysis nested within the Johns Hopkins GeneSTAR study, 40 incident diabetes cases and 40 random cohort sample with a BMI ≥30 kg/m² at baseline (38% males, 50% African Americans, age range 22-69 years) were followed for incident diabetes for ≥10 years. Sampling-weighted logistic regression assessed the relationship between baseline IGF/IGFBP biomarkers measured by ELISA and diabetes risk.

Results: Higher baseline levels of IGF1, IGFBP1, IGFBP2, IGFBP3, and IGFBP6 predicted decreased odds of developing diabetes over 10 years when adjusted for sex, race, baseline age, and follow-up time. This association remained statistically significant for IGFBP2, IGFBP3, and IGFBP6 after adjusting for fasting baseline glucose.

Conclusions: IGF/IGFBP complex proteins may serve as early indicators for diabetes risk beyond fasting glucose levels. Future studies should investigate the functional role of the IGF/IGFBP system in obesity, glucose metabolism, and diabetes prevention.

Supplementary information: The online version contains supplementary material available at 10.1007/s40200-025-01753-y.

查看原文本刊更多论文

胰岛素样生长因子（IGF）和胰岛素样生长因子结合蛋白（IGFBP）作为肥胖成人2型糖尿病风险的预测因子

目的：肥胖易患2型糖尿病，但并非所有肥胖者都会发展为糖尿病；因此，在非糖尿病肥胖人群中进行风险分层是很重要的。胰岛素样生长因子-1和胰岛素样生长因子结合蛋白调节代谢并可能预测高危成人的糖尿病。我们的目的是研究它们的水平是否可以预测肥胖的非糖尿病个体未来患糖尿病的风险。方法：在约翰霍普金斯大学GeneSTAR研究的病例-队列分析中，对40例糖尿病事件病例和40例基线时BMI≥30 kg/m2的随机队列样本（38%男性，50%非洲裔美国人，年龄22-69岁）进行糖尿病事件随访≥10年。抽样加权logistic回归评估ELISA测定的基线IGF/IGFBP生物标志物与糖尿病风险之间的关系。结果：IGF1、IGFBP1、IGFBP2、IGFBP3和IGFBP6的基线水平较高，经性别、种族、基线年龄和随访时间调整后，10年内患糖尿病的几率降低。在调整空腹基线血糖后，IGFBP2、IGFBP3和IGFBP6的相关性仍然具有统计学意义。结论：IGF/IGFBP复合蛋白可能作为糖尿病风险的早期指标，高于空腹血糖水平。未来的研究应探讨IGF/IGFBP系统在肥胖、葡萄糖代谢和糖尿病预防中的功能作用。补充资料：在线版本提供补充资料，网址为10.1007/s40200-025-01753-y。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Diabetes and Metabolic Disorders Medicine-Internal Medicine

CiteScore

4.80

自引率

3.60%

发文量

210

期刊介绍： Journal of Diabetes & Metabolic Disorders is a peer reviewed journal which publishes original clinical and translational articles and reviews in the field of endocrinology and provides a forum of debate of the highest quality on these issues. Topics of interest include, but are not limited to, diabetes, lipid disorders, metabolic disorders, osteoporosis, interdisciplinary practices in endocrinology, cardiovascular and metabolic risk, aging research, obesity, traditional medicine, pychosomatic research, behavioral medicine, ethics and evidence-based practices.As of Jan 2018 the journal is published by Springer as a hybrid journal with no article processing charges. All articles published before 2018 are available free of charge on springerlink.Unofficial 2017 2-year Impact Factor: 1.816.