Body Muscle-to-Fat Ratio, Rather Than Fat-to-Muscle Ratio, Significantly Correlates With Measured Insulin Resistance in Patients With Type 2 Diabetes Mellitus.

BACKGROUND: Insulin resistance (IR) assessment is important in treating type 2 diabetes mellitus (T2DM). We thus compared body muscle-to-fat ratio (BMFR) and fat-to-muscle ratio (FMR) values against M/I values as clinical index of IR. METHODS: Subject included 118 untreated T2DM patients. Hyperinsulinemic-euglycemic clamp examination was performed to calculate the M/I as index of IR. Body composition was measured by impedance analysis using InBody770. RESULTS: Simple linear regression analyses confirmed correlations between M/I and BMFR (B: 0.756 (P < 0.01), coefficients of determination (R2): 0.572, mean absolute error (MAE): 3.19, and root mean squared error (RMSE): 4.14), and between M/I and FMR (B: -0.601 (P < 0.01), R2: 0.362, MAE: 3.97, and RMSE: 5.05). Against the M/I values, BMFR also showed better goodness-of-fit than did FMR. In comparing correlation coefficients, the BMFR absolute B value was significantly larger than that of FMR (P = 0.027). CONCLUSIONS: BMFR is more useful than FMR in quantifying IR in patients with T2DM because the correlation between BMFR and the insulin sensitivity index M/I is significantly greater than that between FMR and M/I.

Body muscle-to-fat ratio gender-specific cut-off values for impaired insulin sensitivity in patients with treatment-naïve type 2 diabetes mellitus.

PURPOSE: We previously reported that the body muscle-to-fat ratio (BMFR), measured using bioelectrical impedance, significantly correlated with whole-body insulin sensitivity. We examined BMFR gender-specific cut-off values for impaired insulin sensitivity in treatment-naïve type 2 diabetes mellitus (T2DM) patients. METHODS: Subjects included 101 untreated T2DM patients (male, 66; female, 35). We performed a hyperinsulinemic-euglycemic clamp examination to measure the steady-state glucose infusion rate (M value) as an indicator of whole-body insulin resistance. We defined the M value divided by the steady-state serum insulin value as the M/I value. We defined the existence of insulin resistance using an M/I ratio <9.0. The optimal cut-off value for BMFR was calculated by receiver operating characteristics (ROC) analysis. RESULTS: The cut-off value of the BMFR for insulin resistance was 2.75 (area under the curve [AUC] = 0.83, sensitivity 75%, and specificity 76%, P < 0.001) for males and 1.65 (AUC = 0.87, sensitivity 84%, and specificity 81%, P < 0.001) for females. Simple linear regression analysis showed that BMFR was significantly correlated with the M/I value in both genders (males, B = 0.77, P< 0.01; females, B = 0.83, P< 0.01). CONCLUSIONS: BMFR cut-off values for impaired insulin sensitivity in treatment-naïve T2DM patients were 2.75 for males and 1.65 for females.

Clinical usefulness of the body muscle-to-fat ratio for screening obstructive sleep apnea syndrome in patients with inadequately controlled type 2 diabetes mellitus.

AIMS: To investigate whether body composition measures can be used for screening obstructive sleep apnea syndrome (OSAS) in patients with type 2 diabetes mellitus (T2DM) suspected of having OSAS. METHODS: Subjects were 186 hospital inpatients with inadequately controlled T2DM. We measured the respiratory disturbance index (RDI) as an indicator of OSAS using a sheet-type breath detection monitor, defining OSAS as an RDI ≥ 19 events/hour. Elementary body composition was measured by bioelectrical impedance analysis using InBody770. RESULTS: Simple logistic regression analysis identified body weight, body mass index (BMI), waist circumference, total body fat mass, body fat percentage, and body muscle-to-fat ratio (BMFR) as significantly associated with OSAS. The Nagelkerke R2 test showed that the BMFR was the most suitable measure for screening OSAS. Multivariate logistic regression analysis demonstrated that BMFR was significantly and independently associated with OSAS. In receiver operating characteristic curve analysis, the area under the BMFR curve was 0.70 (P < 0.001), indicating that BMFR was significantly predictive of OSAS. Furthermore, BMFR was the most suitable measure for screening OSAS in a sub-group analysis of non-obese patients with relatively low BMI (<27.5 kg/m2). CONCLUSIONS: In patients with T2DM, the BMFR is useful for screening OSAS in daily clinical practice.

Dapagliflozin significantly reduced liver fat accumulation associated with a decrease in abdominal subcutaneous fat in patients with inadequately controlled type 2 diabetes mellitus.

AIMS: We examined dapagliflozin-induced changes in liver fat accumulation. METHODS: We prospectively recruited Japanese patients with inadequately controlled type 2 diabetes mellitus (T2DM) [hemoglobin A1c (HbA1c) >7.0%]. Dapagliflozin (5 mg/day) or non-sodium glucose cotransporter 2 inhibitors (SGLT2i) was added to the patients' treatment regimen for 6 months. Changes in liver fat accumulation were assessed by the liver-to-spleen (L/S) attenuation ratio using abdominal computed tomography (CT). RESULTS: This study enrolled 55 Japanese T2DM patients. The L/S ratio significantly increased in the dapagliflozin group compared with the non-SGLT2i group. Abdominal subcutaneous fat area (SFA), visceral fat area, total fat area assessed by abdominal CT, aspartate aminotransferase, alanine aminotransferase (ALT), and γ-glutamyl transpeptidase decreased significantly only in the dapagliflozin group. Changes in the L/S ratio showed a significant negative relationship with changes in abdominal SFA, ALT, and non-esterified fatty acid. In sub-group analyses of non-insulin users, hepatic insulin extraction was assessed by the plasma C-peptide-to-insulin ratio, which was significantly increased in the dapagliflozin group but not in the non-SGLT2i group. CONCLUSION: In patients with inadequately controlled T2DM, additional dapagliflozin-treatment significantly reduced the liver fat accumulation associated with a decrease in abdominal SFA.

Ratio of muscle mass to fat mass assessed by bioelectrical impedance analysis is significantly correlated with liver fat accumulation in patients with type 2 diabetes mellitus.

AIMS: Obesity and ectopic fat accumulation are important conditions of type 2 diabetes mellitus (T2DM). Our aim was to determine whether bioelectrical impedance body composition analysis combined with blood test results could estimate liver ectopic fat accumulation in patients with treatment-naïve T2DM. METHODS: Subjects were 119 untreated T2DM patients. Computed tomography scans were performed to calculate the liver to spleen attenuation ratio (L/S ratio) as a measure of liver fat accumulation, with excess liver fat accumulation defined as an L/S ratio <1.0. Elementary body composition was measured by bioelectrical impedance analysis using InBody770. RESULTS: The Nagelkerke R2 test showed that the muscle mass/fat mass ratio (muscle/fat ratio) was the most suitable variable among anthropometric factors and body component indexes for estimating liver fat accumulation. The muscle/fat ratio was significantly correlated with the L/S ratio (ρ = 0.4386, P < 0.0001). Multivariable logistic regression analysis showed that the muscle/fat ratio (odds ratio 0.40, 95% confidence interval 0.22-0.73, P < 0.01) and alanine aminotransferase (odds ratio 1.06, 95% confidence interval 1.02-1.10, P < 0.01) were independently and significantly associated with liver fat accumulation. In receiver operating characteristic curve analysis, the cutoff value of the muscle/fat ratio for excess liver fat accumulation was 2.34. CONCLUSION: In patients with treatment-naïve T2DM, the muscle/fat ratio and ALT are useful for estimating the presence of excess liver fat accumulation in daily clinical practice.