4.7 Article

Intact Fasting Insulin Identifies Nonalcoholic Fatty Liver Disease in Patients Without Diabetes

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 106, 期 11, 页码 E4360-E4371

出版社

ENDOCRINE SOC
DOI: 10.1210/clinem/dgab417

关键词

NAFLD; insulin resistance; type 2 diabetes mellitus; metabolic syndrome; steatosis

资金

  1. Obesity Society
  2. American Diabetes Association [1-08-CR-08]
  3. VA Merit Award [1 I01 CX000167-01]

向作者/读者索取更多资源

Measuring intact fasting insulin levels by mass spectrometry is an accurate and noninvasive method to predict the presence of NAFLD in patients without diabetes.
Context: Patients with nonalcoholic fatty liver disease (NAFLD) are characterized by insulin resistance and hyperinsulinism. However, insulin resistance measurements have not been shown to be good diagnostic tools to predict NAFLD in prior studies. Objective: We aimed to assess a newly validated method to measure intact molecules of insulin by mass spectrometry to predict NAFLD. Methods: Patients underwent a 2-hour oral glucose tolerance test (OGTT), a liver magnetic resonance spectroscopy (H-1-MRS), and a percutaneous liver biopsy if they had a diagnosis of NAFLD. Mass spectrometry was used to measure intact molecules of insulin and C-peptide. Results: A total of 180 patients were recruited (67% male; 52 11 years of age; body mass index [BMI] 33.2 +/- 5.7 kg/m(2); 46% with diabetes and 65% with NAFLD). Intact fasting insulin was higher in patients with NAFLD, irrespective of diabetes status. Patients with NAFLD without diabetes showed similar to 4-fold increase in insulin secretion during the OGTT compared with all other subgroups (P = 0.008). Fasting intact insulin measurements predicted NAFLD in patients without diabetes (area under the receiver operating characteristic curve [AUC] of 0.90 [0.84-0.96]). This was significantly better than measuring insulin by radioimmunoassay (AUC 0.80 [0.71-0.89]; P = 0.007). Intact fasting insulin was better than other clinical variables (eg, aspartate transaminase, triglycerides, high-density lipoprotein, glucose, HbA1c, and BMI) to predict NAFLD. When combined with alanine transaminase (ALT) (intact insulin x ALT), it detected NAFLD with AUC 0.94 (0.89-0.99) and positive and negative predictive values of 93% and 88%, respectively. This newly described approach was significantly better than previously validated noninvasive scores such as NAFLD-LFS (P = 0.009), HSI (P < 0.001), and TyG index (P = 0.039). Conclusion: In patients without diabetes, accurate measurement of fasting intact insulin levels by mass spectrometry constitutes an easy and noninvasive strategy to predict presence of NAFLD.

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