scholarly journals The association between fat-to-muscle ratio and metabolic disorders in type 2 diabetes

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Dixing Liu ◽  
Jiana Zhong ◽  
Yuting Ruan ◽  
Zhen Zhang ◽  
Jia Sun ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Waist Circumference ◽  
Muscle Mass ◽  
Fat Mass ◽  
Metabolic Disorders ◽  
Cutoff Point ◽  
Risk Indicators ◽  
Optimal Method ◽  
Abnormal Metabolism

Abstract Background Altered body composition is known to be related to abnormal metabolism. The aim of this study was to determine the association between the fat-to-muscle ratio (FMR) and metabolic disorders in type 2 diabetes (T2DM) population. Method In total, 361 T2DM participants aged ≥ 18 years were included in our research. A bioelectrical impedance analyzer was applied to measure fat mass and muscle mass. FMR was calculated as body fat mass (kg) divided by muscle mass (kg). The performance of FMR to assess metabolic disorders in T2DM was conducted using ROC curves. The independent association between FMR and metabolic syndrome (MS) was tested by logistic regression analysis. Results The FMR was significantly higher in patients with MS than in those without MS (p < 0.001). The optimal FMR cutoff point for identifying MS was higher in females than in males (0.465 vs. 0.296, respectively). In addition, the areas under the ROC curve (AUCs) for the evaluation of MS by FMR, fat mass, muscle mass, BMI and waist circumference were further compared, indicating that the AUC of FMR (0.843) was the largest among the five variables in females, but the AUC of waist circumference (0.837) was still the largest among other variables in males. Based on the derived FMR cutoff point, patients with a high FMR exhibited more cardiometabolic risk indicators (all p < 0.05). Using a low FMR as a reference, the relative risk of a high FMR for MS was 2.861 (95% CI 1.111–7.368, p = 0.029) in males and 9.518 (95% CI 2.615–34.638, p = 0.001) in females following adjustment for confounding factors. Conclusions The fat-to-muscle ratio is independently and positively associated with metabolic disorders in T2DM. FMR may serve as an optimal method for screening T2DM patients coupled with a high risk of abnormal metabolism, especially in females, providing a new perspective for the prevention and treatment of cardiovascular complications in Chinese type 2 diabetes.

Circulating levels of TNF-alpha and IL-6-relation to truncal fat mass and muscle mass in healthy elderly individuals and in patients with type-2 diabetes

2003 ◽  
Vol 124 (4) ◽  
pp. 495-502 ◽  
Author(s):  
Maria Pedersen ◽  
Helle Bruunsgaard ◽  
Nina Weis ◽  
Helle W. Hendel ◽  
Bente U. Andreassen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Muscle Mass ◽  
Fat Mass ◽  
Tnf Alpha ◽  
Elderly Individuals ◽  
Healthy Elderly ◽  
Circulating Levels

scholarly journals Relationship between the FTO Genotype and Early Chronic Kidney Disease in Type 2 Diabetes: The Mediating Role of Central Obesity, Hypertension, and High Albuminuria

2021 ◽  
pp. 1-8
Author(s):  
Júlia Marchetti ◽  
Karla P. Balbino ◽  
Helen Hermana M. Hermsdorff ◽  
Leidjaira L. Juvanhol ◽  
José Alfredo Martinez ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Chronic Kidney Disease ◽  
Waist Circumference ◽  
Kidney Disease ◽  
Path Analysis ◽  
Fat Mass ◽  
Central Obesity ◽  
Obesity Hypertension

<b><i>Introduction:</i></b> Single nucleotide polymorphisms (SNP) in the fat mass and obesity-associated (<i>FTO</i>) gene have been associated with type 2 diabetes (T2D) and its complications. The aim of the present research was to investigate which and how (directly or indirectly) clinical and metabolic variables mediate the association between fat mass and the <i>FTO</i> gene and early chronic kidney disease (CKD) in individuals with T2D. <b><i>Methods:</i></b> This cross-sectional study was conducted in a sample of 236 participants with T2D (53.4% women, mean age 60 ± 10 years). DNA samples were genotyped for the rs7204609 polymorphism (C/T) in the <i>FTO</i> gene. Clinical, anthropometric, and metabolic data were collected. Path analysis was used to evaluate the associations. <b><i>Results:</i></b> Of the sample, 78 individuals with T2D had CKD (33%). Presence of the risk allele (<i>C</i>) was higher among participants with CKD (21.8 vs. 10.8%; <i>p</i> = 0.023). This polymorphism was positively associated with higher waist circumference, which in turn was associated with higher glycated hemoglobin and higher blood pressure. A higher blood-pressure level was associated with higher urinary albumin excretion (UAE) and as expected, higher UAE was associated with CKD. Path analysis showed an indirect relationship between the <i>FTO</i> gene and early CKD, mediated by waist circumference, blood-pressure levels, and UAE. <b><i>Conclusions:</i></b> These findings suggest that the <i>C</i> allele may contribute to genetic susceptibility to CKD in individuals with T2D through the presence of central obesity, hypertension, and high albuminuria.

scholarly journals Dapagliflozin Reduces Fat Mass without Affecting Muscle Mass in Type 2 Diabetes

2018 ◽  
Vol 25 (6) ◽  
pp. 467-476 ◽  
Author(s):  
Seigo Sugiyama ◽  
Hideaki Jinnouchi ◽  
Noboru Kurinami ◽  
Kunio Hieshima ◽  
Akira Yoshida ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Muscle Mass ◽  
Fat Mass

scholarly journals Assessment of muscle and fat mass in type 2 diabetes mellitus patients by dual-energy X-ray absorptiometry

2018 ◽  
Vol 46 (3) ◽  
pp. 222-232 ◽  
Author(s):  
I. V. Misnikova ◽  
Yu. A. Kovaleva ◽  
N. A. Klimina ◽  
E. Yu. Polyakova
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Muscle Mass ◽  
Fat Mass ◽  
Dual Energy ◽  
Z Score ◽  
X Ray ◽  
T Score

Background:Obesity is an important health problem, as its prevalence has reached an epidemic level and continues to increase steadily resulting in higher risk of cardiovascular diseases and metabolic disorders. Currently, new methods and criteria are being developed to assess fat and muscle mass, as well as criteria for diagnosing obesity and sarcopenia.Aim:To assess the quantitative composition of muscle and adipose tissue in type 2 diabetes mellitus patients based on the dual-energy X-ray absorptiometry for the diagnosis of obesity and sarcopenia.Materials and methods: We examined 42 type 2 diabetic in-patients admitted to the Department of Therapeutic Endocrinology. Dual-energy X-ray absorptiometry was performed in all patients with subsequent assessment of the composition of muscle and fat tissue.Results:If assessed by the body mass index, all patients had an excess body weight: median, 32.25 [29.75; 35.70]; in men, 31.3 [28.19; 34.63], in women, 32.29 [30.26; 36.54]. 26.2% of the patients (11/42) were overweight, but not obese. Female patients had more severe obesity than male (in total, 33.3% (10/30) of women had 2ndand 3rd degree of obesity, while men 16.7% (2/12)). The assessment by the fat mass index (FMI) showed that 2.4% (1/42) of the patients were normal-weight. Median FMI was 11.91 [10.40; 13.78] (in men, 8.86 [7.46; 12.1], in women, 12.35 [11.55; 15.47]). Overweight was found in 52.4% (22/42) of the patients; in total, 2ndand 3rddegree of obesity was observed in 25% (3/12) of the men and only in 6.6% (2/30) of the women. Median Appendicular Lean Mass Index (ALMI) in the total group was 7.99 [7.32; 9.05], being expectedly higher than in women: 9.19 [8.42; 9.45] and 7.58 [7.24; 8.49], respectively. Median T-score ALMI was 2.32 [1.73; 3.08], Z-score ALMI 2.15 [1.47; 3.54]. In general, there was a decrease in the appendicular muscle mass with age. There was an inverse correlation between the age and T-score ALMI (r = -0.319, р = 0.020), as well as between the age and Z-score ALMI (r = -0.634, p = 0.000). According to the results of T-score ALMI and Z-score ALMI, there were no patients with sarcopenia. However, the calculation of the T- and Z-criteria, corrected for fat mass, has led to a significant decrease of the medians of these parameters and allowed to identify a group of patients meeting the criteria of sarcopenia (97.6%, 41/42).Conclusion:Based on ALMI, T-ALMI, and Z-ALMI, there were no patients with sarcopenia. After these criteria were corrected for fat mass, the number of such patients increased to 97.6% (41/42) and 85.7% (36/42), respectively. The potential use of the adjusted T-ALMI (FMI) and Z-ALMI (FMI) as criteria for sarcopenia and muscle mass reduction compared to the age-related normal values, as well as the classification of obesity by FMI should be studied in large epidemiological studies in different populations.

scholarly journals Daytime sleepiness, depression and obesity in patients with type 2 diabetes mellitus of different sexes as a drug target

2020 ◽  
pp. 80-84
Author(s):  
Yu. A. Sorokina ◽  
A. V. Zanozin ◽  
O. V. Zanozina ◽  
T. A. Smirnova ◽  
O. A. Novozhilova ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Waist Circumference ◽  
Daytime Sleepiness ◽  
Metabolic Disorders ◽  
Glycosylated Hemoglobin ◽  
Visceral Obesity ◽  
Emotional Instability ◽  
Female Patients ◽  
Male Patients

Introduction. Patients with type 2 diabetes are more likely to have concomitant depression. In addition, there are some studies that have alluded to a direct relationship between overweight and diabetes and daytime drowsiness.The aim of this study was to study the relationship of metabolic disorders, anthropometric data with daytime sleepiness and depression in patients with type 2 diabetes.Material and methods. A general clinical study consisted in interviewing the patient (complaints, medical history), obtaining physical data (anthropometry) – height (cm), weight (kg), neck circumference (cm), waist circumference (cm), hip circumference (cm). The object of the study was the whole blood and blood plasma of patients in order to determine the level of fasting plasma glucose, glycosylated hemoglobin and other blood biochemical parameters. To verify violations in the emotional-volitional sphere, the Beck Depression Inventory and the Epworth Sleepiness Scale were used.Results. All patients had visceral obesity, the waist circumference is significantly higher than normal, both in men and women. In accordance with the Epworth drowsiness scale, on average, borderline insomnia was recorded in the examined patients with type 2 diabetes. Drowsiness rate correlated with waist circumference (r = 0,65) and hips (0,67), age (0.34) only in male patients. The level of depression correlated with age in female patients (r = 0.37, p < 0,05) and male (r = 0,6, p < 0,05) and did not correlate with drowsiness in both groups. The level of depression was 16, which corresponds to mild to moderate depression. However, the rate of depression is negligible, but higher among female patients (14.00 [6.00; 18.00] versus 19.00 [10.50; 20.00], p = 0,047).Conclusions. Increased daytime sleepiness and depression accompany patients with type 2 diabetes, regardless of gender. The dependence between the severity of decreased daily activity and increased anthropometric indicators and age can be seen in male patients, which may illustrative of increasing androgen deficiency in men and its contribution to the development of metabolic disorders, including obesity. Depressive states have deeper manifestations in female patients with type 2 diabetes compared to male patients, which may indicate both emotional instability of female patients and a more pronouncedeffect of the disease itself on the psychoemotional background in women.

scholarly journals Joint impact of muscle mass and waist circumference on type 2 diabetes in Japanese middle‐aged adults: The Circulatory Risk in Communities Study ( CIRCS )

2020 ◽  
Vol 12 (9) ◽  
pp. 677-685
Author(s):  
Mikako Yasuoka ◽  
Isao Muraki ◽  
Hironori Imano ◽  
Hiroshige Jinnouchi ◽  
Yasuhiko Kubota ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Waist Circumference ◽  
Muscle Mass ◽  
Middle Aged ◽  
Middle Aged Adults

A proposal for the cutoff point of waist circumference values predictive of increased risk of type 2 diabetes and hypertension in arab adults

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
NajiJ Aljohani ◽  
MohamadMaswood Ahmad ◽  
Ashwaq Alfaqeeh ◽  
Ahmed Bahnassi ◽  
Nasser Alhamdan
Keyword(s):  
Type 2 Diabetes ◽  
Waist Circumference ◽  
Cutoff Point ◽  
Increased Risk

scholarly journals A randomized controlled trial of two diets enriched with protein or fat in patients with type 2 diabetes treated with dapagliflozin

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasuhiro Watanabe ◽  
Daisuke Suzuki ◽  
Nobuichi Kuribayashi ◽  
Daigaku Uchida ◽  
Mitsutoshi Kato ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Serum Insulin ◽  
Controlled Trial ◽  
Hdl Cholesterol ◽  
Body Fat Mass ◽  
Randomized Controlled

AbstractSodium-glucose cotranspsorter-2 (SGLT2) inhibitors (SGLT2i) involve loss of skeletal muscle mass, potentially leading to inadequate HbA1c reduction in type 2 diabetes (T2DM), since muscle mass is related to insulin sensitivity. The benefit of protein-enriched diet for improving HbA1c in SGLT2i-treated T2DM patients remains unclear. We conducted a multicenter, double-blind, randomized, controlled, investigator-initiated clinical trial. 130 T2DM patients treated with dapagliflozin (5 mg) were randomized to isoenergic protein-rich formula diet (P-FD) or fat-rich FD (F-FD) (1:1 allocation) to replace one of three meals/day for 24 weeks. Primary outcome was change in HbA1c. Secondary outcomes were changes in serum insulin, body composition and other metabolic parameters. Although HbA1c decreased significantly in both groups [mean (95% confidence interval) − 0.7% (− 0.9 to − 0.5) in P-FD, − 0.6% (− 0.8 to − 0.5) in F-FD], change in HbA1c was not significantly different between the two groups (P = 0.4474). Fasting insulin and body fat mass decreased, while HDL-cholesterol increased significantly in P-FD, and these changes were significantly greater compared with F-FD (all, P < 0.05). In T2DM treated with dapagliflozin, protein-enriched diet does not contribute to HbA1c reduction, although it decreases serum insulin and body fat mass, and increases HDL-cholesterol compared with fat-enriched diet with identical calories and carbohydrate ratio.

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