Sabrina Cancelliere , Tracy Heung , Christina Blagojevic , Sarah Malecki , Satya Dash , Anne S. Bassett
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We used multivariable logistic regression and receiver operating characteristic (ROC) curves to evaluate the association of non-fasting TyG index with metabolic syndrome.</div></div><div><h3>Results</h3><div>Non-fasting TyG index was significantly associated with metabolic syndrome (OR 3.23, 95% CI 2.27–4.59, p < 0.0001), independent of age, sex, BMI, and hypothyroidism. Non-fasting TyG index was positively correlated with number of metabolic syndrome components per individual. In this high-risk population, prevalence of metabolic syndrome was 21.7% (60/277) among young adults (18−39 years), and 45.2% (33/73, p < 0.0001) among middle-aged adults (40−59 years). Non-fasting TyG index ≥4.81 was an effective indicator of prevalent metabolic syndrome, with an area under the ROC curve of 0.83 (95% CI 0.78−0.88).</div></div><div><h3>Conclusions</h3><div>The results support non-fasting TyG index as a practical marker of metabolic syndrome, and by extension insulin resistance, encouraging future studies evaluating non-fasting TyG index in young adults as a predictor of cardiovascular disease later in life. The high prevalence of metabolic syndrome at a young age in 22q11.2 microdeletion demonstrates the potential value of this genetic high-risk population for future prospective studies, with animal and cellular models available.</div></div>","PeriodicalId":54778,"journal":{"name":"Journal of Nutrition Health & Aging","volume":"29 7","pages":"Article 100573"},"PeriodicalIF":4.0000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A non-fasting marker of metabolic syndrome in a high-risk population\",\"authors\":\"Sabrina Cancelliere , Tracy Heung , Christina Blagojevic , Sarah Malecki , Satya Dash , Anne S. Bassett\",\"doi\":\"10.1016/j.jnha.2025.100573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>The rising prevalence of metabolic syndrome among young adults has prompted studies of fasting triglyceride-glucose (TyG) index as a marker of insulin resistance. We aimed to evaluate metabolic syndrome in young adults using non-fasting TyG index and a high-risk genetic model, 22q11.2 microdeletion.</div></div><div><h3>Methods</h3><div>We assessed metabolic syndrome and its components in 350 adults (50.6% female) aged 18–59 (median 27.7, IQR 22.5–38.1) years with typical 22q11.2 microdeletions. We used multivariable logistic regression and receiver operating characteristic (ROC) curves to evaluate the association of non-fasting TyG index with metabolic syndrome.</div></div><div><h3>Results</h3><div>Non-fasting TyG index was significantly associated with metabolic syndrome (OR 3.23, 95% CI 2.27–4.59, p < 0.0001), independent of age, sex, BMI, and hypothyroidism. Non-fasting TyG index was positively correlated with number of metabolic syndrome components per individual. In this high-risk population, prevalence of metabolic syndrome was 21.7% (60/277) among young adults (18−39 years), and 45.2% (33/73, p < 0.0001) among middle-aged adults (40−59 years). Non-fasting TyG index ≥4.81 was an effective indicator of prevalent metabolic syndrome, with an area under the ROC curve of 0.83 (95% CI 0.78−0.88).</div></div><div><h3>Conclusions</h3><div>The results support non-fasting TyG index as a practical marker of metabolic syndrome, and by extension insulin resistance, encouraging future studies evaluating non-fasting TyG index in young adults as a predictor of cardiovascular disease later in life. The high prevalence of metabolic syndrome at a young age in 22q11.2 microdeletion demonstrates the potential value of this genetic high-risk population for future prospective studies, with animal and cellular models available.</div></div>\",\"PeriodicalId\":54778,\"journal\":{\"name\":\"Journal of Nutrition Health & Aging\",\"volume\":\"29 7\",\"pages\":\"Article 100573\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition Health & Aging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1279770725000971\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition Health & Aging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1279770725000971","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:青年人代谢综合征患病率的上升促使研究空腹甘油三酯-葡萄糖(TyG)指数作为胰岛素抵抗的标志。我们的目的是使用非空腹TyG指数和高风险遗传模型22q11.2微缺失来评估年轻人的代谢综合征。方法我们评估了350名18-59岁(中位27.7岁,IQR 22.5-38.1岁)典型22q11.2微缺失的成年人(50.6%为女性)的代谢综合征及其组成。我们采用多变量logistic回归和受试者工作特征(ROC)曲线来评估非空腹TyG指数与代谢综合征的相关性。结果非空腹TyG指数与代谢综合征有显著相关性(OR 3.23, 95% CI 2.27-4.59, p < 0.0001),与年龄、性别、BMI、甲状腺功能减退无关。非空腹TyG指数与个体代谢综合征成分数呈正相关。在这一高危人群中,18 ~ 39岁的青壮年代谢综合征患病率为21.7%(60/277),40 ~ 59岁的中年人代谢综合征患病率为45.2% (33/73,p < 0.0001)。非空腹TyG指数≥4.81是普遍代谢综合征的有效指标,ROC曲线下面积为0.83 (95% CI 0.78 ~ 0.88)。结论本研究结果支持非空腹TyG指数作为代谢综合征和胰岛素抵抗的实用标志物,鼓励未来研究评估年轻人非空腹TyG指数作为晚年心血管疾病的预测因子。22q11.2微缺失患者年轻时代谢综合征的高患病率表明,通过动物和细胞模型,这一遗传高危人群在未来的前瞻性研究中具有潜在价值。
A non-fasting marker of metabolic syndrome in a high-risk population
Objective
The rising prevalence of metabolic syndrome among young adults has prompted studies of fasting triglyceride-glucose (TyG) index as a marker of insulin resistance. We aimed to evaluate metabolic syndrome in young adults using non-fasting TyG index and a high-risk genetic model, 22q11.2 microdeletion.
Methods
We assessed metabolic syndrome and its components in 350 adults (50.6% female) aged 18–59 (median 27.7, IQR 22.5–38.1) years with typical 22q11.2 microdeletions. We used multivariable logistic regression and receiver operating characteristic (ROC) curves to evaluate the association of non-fasting TyG index with metabolic syndrome.
Results
Non-fasting TyG index was significantly associated with metabolic syndrome (OR 3.23, 95% CI 2.27–4.59, p < 0.0001), independent of age, sex, BMI, and hypothyroidism. Non-fasting TyG index was positively correlated with number of metabolic syndrome components per individual. In this high-risk population, prevalence of metabolic syndrome was 21.7% (60/277) among young adults (18−39 years), and 45.2% (33/73, p < 0.0001) among middle-aged adults (40−59 years). Non-fasting TyG index ≥4.81 was an effective indicator of prevalent metabolic syndrome, with an area under the ROC curve of 0.83 (95% CI 0.78−0.88).
Conclusions
The results support non-fasting TyG index as a practical marker of metabolic syndrome, and by extension insulin resistance, encouraging future studies evaluating non-fasting TyG index in young adults as a predictor of cardiovascular disease later in life. The high prevalence of metabolic syndrome at a young age in 22q11.2 microdeletion demonstrates the potential value of this genetic high-risk population for future prospective studies, with animal and cellular models available.
期刊介绍:
There is increasing scientific and clinical interest in the interactions of nutrition and health as part of the aging process. This interest is due to the important role that nutrition plays throughout the life span. This role affects the growth and development of the body during childhood, affects the risk of acute and chronic diseases, the maintenance of physiological processes and the biological process of aging. A major aim of "The Journal of Nutrition, Health & Aging" is to contribute to the improvement of knowledge regarding the relationships between nutrition and the aging process from birth to old age.