Breakthrough in early prediction of type 2 diabetes

2023-05-11 22:08:19

Breakthrough in early prediction of type 2 diabetes

July 21, 2016 Source: Chinese Journal of Science

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The Lin Xu team of the Institute of Nutritional Sciences of the Shanghai Institute of Bioscience and the Institute of Biochemistry and Cell Biology of the Chinese Academy of Sciences, Wu Jiarui and Zeng Yi, made new progress in the early prediction of type 2 diabetes. Related results were published online in the journal Diabetes Care.

Carnitine is an important carrier for transporting long-chain fatty acids into the mitochondrial inner membrane for β-oxidation, which plays an important role in mitochondrial fat metabolism. Acylcarnitine, as an intermediate in carnitine metabolism, reflects early fatty acid oxidation imbalance and mitochondrial stress in animal studies. However, whether the acylcarnitine spectrum predicts the occurrence of type 2 diabetes remains unclear.

Based on the prospective follow-up cohort sample library of the “Research on Nutritional Health Status of China's Elderly Population”, the researchers used liquid chromatography-tandem mass spectrometry to detect the plasma acylcarnitine spectrum of 2103 volunteers in the project. 34 free carnitines and acylcarnitines. Analysis found that plasma-specific acylcarnitine, especially long-chain acylcarnitine, can significantly increase the risk of developing type 6 diabetes for 6 years, and is independent of body mass index (BMI), fasting blood glucose, glycosylated hemoglobin (HbA1c), etc. Know the traditional risk factors.

In addition, receiver operating characteristic curve (ROC) analysis found that if only models established using traditional risk factors (such as age, BMI, fasting blood glucose, HbA1c, family history of diabetes, etc.), the area under the curve (AUC) was only 0.74. . When the specific acylcarnitine was added to the model, the AUC increased significantly to 0.89 (the closer the AUC is to 1, the better the prediction of the model). Therefore, studies have shown that acylcarnitine profiles can significantly increase the efficacy of early prediction of type 2 diabetes.

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