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非糖尿病个体胰岛素抵抗的代谢特征。

Metabolic signatures of insulin resistance in non-diabetic individuals.

机构信息

Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran, Iran.

Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

BMC Endocr Disord. 2022 Aug 24;22(1):212. doi: 10.1186/s12902-022-01130-3.

DOI:10.1186/s12902-022-01130-3
PMID:36002887
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9404631/
Abstract

BACKGROUND

Insulin resistance (IR) evolved from excessive energy intake and poor energy expenditure, affecting the patient's quality of life. Amino acid and acylcarnitine metabolomic profiles have identified consistent patterns associated with metabolic disease and insulin sensitivity. Here, we have measured a wide array of metabolites (30 acylcarnitines and 20 amino acids) with the MS/MS and investigated the association of metabolic profile with insulin resistance.

METHODS

The study population (n = 403) was randomly chosen from non-diabetic participants of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS 2016). STEPS 2016 is a population-based cross-sectional study conducted periodically on adults aged 18-75 years in 30 provinces of Iran. Participants were divided into two groups according to the optimal cut-off point determined by the Youden index of HOMA-IR for the diagnosis of metabolic syndrome. Associations were investigated using regression models adjusted for age, sex, and body mass index (BMI).

RESULTS

People with high IR were significantly younger, and had higher education level, BMI, waist circumference, FPG, HbA1c, ALT, triglyceride, cholesterol, non-HDL cholesterol, uric acid, and a lower HDL-C level. We observed a strong positive association of serum BCAA (valine and leucine), AAA (tyrosine, tryptophan, and phenylalanine), alanine, and C0 (free carnitine) with IR (HOMA-IR); while C18:1 (oleoyl L-carnitine) was inversely correlated with IR.

CONCLUSIONS

In the present study, we identified specific metabolites linked to HOMA-IR that improved IR prediction. In summary, our study adds more evidence that a particular metabolomic profile perturbation is associated with metabolic disease and reemphasizes the significance of understanding the biochemistry and physiology which lead to these associations.

摘要

背景

胰岛素抵抗(IR)是由能量摄入过多和能量消耗不足引起的,影响患者的生活质量。氨基酸和酰基肉碱代谢组学图谱已经确定了与代谢性疾病和胰岛素敏感性相关的一致模式。在这里,我们使用 MS/MS 测量了广泛的代谢物(30 种酰基肉碱和 20 种氨基酸),并研究了代谢谱与胰岛素抵抗的相关性。

方法

研究人群(n=403)是从伊朗非糖尿病患者的慢性病危险因素监测研究(STEPS 2016)中随机选择的。STEPS 2016 是一项基于人群的横断面研究,定期在伊朗 30 个省份的 18-75 岁成年人中进行。根据 HOMA-IR 的最佳截断点,参与者被分为两组,用于代谢综合征的诊断。使用回归模型,根据年龄、性别和体重指数(BMI)进行调整,对关联进行了研究。

结果

IR 较高的人明显更年轻,具有更高的教育水平、BMI、腰围、FPG、HbA1c、ALT、甘油三酯、胆固醇、非 HDL 胆固醇、尿酸和较低的 HDL-C 水平。我们观察到血清支链氨基酸(缬氨酸和亮氨酸)、AAA(酪氨酸、色氨酸和苯丙氨酸)、丙氨酸和 C0(游离肉碱)与 IR(HOMA-IR)呈强烈正相关;而 C18:1(油酰肉碱)与 IR 呈负相关。

结论

在本研究中,我们确定了与 HOMA-IR 相关的特定代谢物,这些代谢物可改善 IR 的预测。总之,我们的研究提供了更多证据表明,特定的代谢组学图谱紊乱与代谢性疾病相关,并再次强调了理解导致这些关联的生物化学和生理学的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/626365071c7b/12902_2022_1130_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/2cd8a272d289/12902_2022_1130_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/a219690ec4b7/12902_2022_1130_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/626365071c7b/12902_2022_1130_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/2cd8a272d289/12902_2022_1130_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/a219690ec4b7/12902_2022_1130_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b78c/9404631/626365071c7b/12902_2022_1130_Fig3_HTML.jpg

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