Simona Cernea1,2, Andrada Larisa Roiban3,4, Emőke Both3, Adina Huţanu5,6. 1. Department M3/Internal Medicine IV, University of Medicine and Pharmacy of Tîrgu Mureş, Tîrgu Mureş, Romania. 2. Diabetes, Nutrition, and Metabolic Diseases Outpatient Unit, Emergency County Clinical Hospital Tîrgu Mureş, Tîrgu Mureş, Romania. 3. Emergency County Clinical Hospital Tîrgu Mureş, Tîrgu Mureş, Romania. 4. University of Medicine and Pharmacy of Tîrgu Mureș, Tîrgu Mureş, Romania. 5. Department of Laboratory Medicine, University of Medicine and Pharmacy of Tîrgu Mureș, Tîrgu Mureş, Romania. 6. Center for Advanced Medical and Pharmaceutical Research, University of Medicine and Pharmacy of Tîrgu Mureș, Tîrgu Mureş, Romania.
Abstract
AIMS: Leptin/leptin resistance has been suggested to play a role in nonalcoholic fatty liver disease (NAFLD), and therefore we investigated the correlation of leptin/leptin-receptor system with markers of hepatic steatosis (HS) and fibrosis (HF) in patients with type 2 diabetes (T2D). MATERIALS AND METHODS: In 159 T2D subjects with disease duration of 6.0 (0.0-27.0) years, HS was evaluated by semi-quantitative ultrasonographic scores and by clinical/biochemical variables: Fatty liver index and Hepatic steatosis index. HF was evaluated by NAFLD fibrosis score (NAFLD-FS). Serum leptin and leptin receptor (sObR) concentrations were measured and leptin resistance estimated by Free Leptin Index (FLpI). Both simple and multiple correlations between the HS and HF with the three parameters of interest were examined. RESULTS: Leptin levels and FLpI correlated with diabetes duration (0.25 [95%CI: 0.09-0.39] and 0.24 [95%CI: 0.08-0.39]; P < 0.01 for both). 76.1% of T2D patients had HS and 29% had HF. The univariate analysis indicated positive correlations of HS indexes with serum leptin, FLpI, and negative correlations with serum sObR (P < 0.0001 for all). In the multiple regression analysis leptin, sObR, FLpI, waist-to-hip ratio, HbA1c, lipids, and HOMA-IR correlated independently with HS (P < 0.0001 for all). Although the univariate analyses indicated weak correlations of NAFLD-FS with leptin, sObR, and FLpI, in the multiple regression analyses, only age and waist independently predicted HF. CONCLUSION: In patients with T2D, HS correlated positively with serum leptin and leptin resistance, and negatively with sObR, along with variables of adiposity and metabolic control, but neither of them made a significant contribution to HF.
AIMS: Leptin/leptin resistance has been suggested to play a role in nonalcoholic fatty liver disease (NAFLD), and therefore we investigated the correlation of leptin/leptin-receptor system with markers of hepatic steatosis (HS) and fibrosis (HF) in patients with type 2 diabetes (T2D). MATERIALS AND METHODS: In 159 T2D subjects with disease duration of 6.0 (0.0-27.0) years, HS was evaluated by semi-quantitative ultrasonographic scores and by clinical/biochemical variables: Fatty liver index and Hepatic steatosis index. HF was evaluated by NAFLD fibrosis score (NAFLD-FS). Serum leptin and leptin receptor (sObR) concentrations were measured and leptin resistance estimated by Free Leptin Index (FLpI). Both simple and multiple correlations between the HS and HF with the three parameters of interest were examined. RESULTS:Leptin levels and FLpI correlated with diabetes duration (0.25 [95%CI: 0.09-0.39] and 0.24 [95%CI: 0.08-0.39]; P < 0.01 for both). 76.1% of T2D patients had HS and 29% had HF. The univariate analysis indicated positive correlations of HS indexes with serum leptin, FLpI, and negative correlations with serum sObR (P < 0.0001 for all). In the multiple regression analysis leptin, sObR, FLpI, waist-to-hip ratio, HbA1c, lipids, and HOMA-IR correlated independently with HS (P < 0.0001 for all). Although the univariate analyses indicated weak correlations of NAFLD-FS with leptin, sObR, and FLpI, in the multiple regression analyses, only age and waist independently predicted HF. CONCLUSION: In patients with T2D, HS correlated positively with serum leptin and leptin resistance, and negatively with sObR, along with variables of adiposity and metabolic control, but neither of them made a significant contribution to HF.
Authors: Martina Theresa Hackl; Clemens Fürnsinn; Christina Maria Schuh; Martin Krssak; Fabrizia Carli; Sara Guerra; Angelika Freudenthaler; Sabina Baumgartner-Parzer; Thomas H Helbich; Anton Luger; Maximilian Zeyda; Amalia Gastaldelli; Christoph Buettner; Thomas Scherer Journal: Nat Commun Date: 2019-06-20 Impact factor: 14.919