Differential Association of Sex Hormones with Metabolic Parameters and Body Composition in Men and Women from the United States.

Sex hormones impact body composition. Data on the specific impact of each hormone on different body depots in men and women are scarce. The aim of this study is to evaluate the association between testosterone, estradiol and body fat distribution in the general population. This is a population-based cross-sectional study based on data from the 2013-2016 cycles of the National Health and Nutrition Examination Survey. Dual energy X-ray absorptiometry (DXA) and liquid chromatography tandem mass spectrometry were performed on participants aged 18-59 years to evaluate body composition and sex hormone levels, respectively. Weighted multivariable linear regression analyses were performed to evaluate the association between these parameters after adjustment for potential confounders. A total of 6655 participants (3309 males and 3346 females) was included in the analysis. Men with lower testosterone levels were older, had a higher body mass index (BMI) and had a generally unfavorable metabolic profile, while no specific trends were found in women. Among men, testosterone was positively associated with lean body mass and was negatively associated with fat mass and the android/gynoid (A/G) ratio, while an opposite trend was found for estradiol. Among women, testosterone did not impact body composition, while estradiol levels were positively associated with lean mass and were negatively associated with fat mass. Our results support the notion that the impact of different sex hormones on specific fat depots varies substantially between men and women.

Sex-related association of nonalcoholic fatty liver disease and liver fibrosis with body fat distribution in the general US population.

BACKGROUND: Few population-based studies have investigated the association between body fat distribution and the risk of nonalcoholic fatty liver disease (NAFLD) and significant liver fibrosis. OBJECTIVES: We aimed to evaluate the relations of total body fat and body fat distribution with NAFLD in the general US population. METHODS: This is a cross-sectional, population-based study based on the 2017-2018 cycle of the NHANES. Participants aged 18-59 y without known liver conditions or significant alcohol consumption were studied by DXA and vibration-controlled transient elastography to assess body composition and liver steatosis and fibrosis, respectively. Multivariable logistic regression analysis was performed to evaluate the contribution of BMI and android:gynoid ratio (A:G ratio) to the prevalence of liver steatosis and fibrosis in males and females. RESULTS: Weighted prevalence of steatosis was 41.5% and 29.9% among the 1115 males and 1113 females included in the study, respectively, whereas 7.0% of males and 4.0% of females had elastographic evidence of significant liver fibrosis. After adjustment for age, race-Hispanic origin, diabetes, cigarette smoke, and BMI, a higher A:G ratio was associated with increased odds of steatosis in both males (OR: 1.79; 95% CI: 1.07, 2.99; P = 0.029) and females (OR: 1.95; 95% CI: 1.11, 3.41; P = 0.023). Conversely, a significant association between A:G ratio and liver fibrosis was identified in females (OR: 2.09; 95% CI: 1.11, 3.97; P = 0.026), but not in males (OR: 0.56; 95% CI: 0.29, 1.08; P = 0.078). CONCLUSIONS: Independently from BMI, an android fat deposition pattern is associated with increased prevalence of NAFLD in both sexes, whereas the effect on fibrosis was only evident in females.

Prevalence of Elevated Liver Stiffness Among Potential Candidates for Bariatric Surgery in the United States.

PURPOSE: Obesity represents a well-known risk factor for metabolic-dysfunction associated fatty liver disease (MAFLD) and its progression towards cirrhosis. The aim of this study is to estimate the proportion of potential candidates to a bariatric surgery intervention that has an elevated liver stiffness on vibration-controlled transient elastography (VCTE). MATERIALS AND METHODS: This is a cross-sectional study performed using data obtained during the 2017-2018 cycle of the National Health and Nutrition Examination Survey. Potential candidates for a bariatric surgery intervention from the general US population were identified by applying criteria from international guidelines. All included participants were evaluated by VCTE. A controlled attenuation parameter (CAP) value ≥ 288 dB/m was considered indicative of steatosis while liver stiffness measurement (LSM) was considered elevated if ≥ 9.7 kPa. Multivariable logistic regression models were fitted to identify independent predictors of both outcomes. RESULTS: A total of 434 participants were included (mean age 42.9 ± 0.6 years; 54.4% women). Among them, 76.7% (95% CI 71.7-81.0) had steatosis, while 23.1% (95% CI 17.8-29.3) had an elevated LSM. Male sex, older age, γ-glutamyltranspeptidase levels, and body mass index (BMI) were independent predictors of steatosis, while BMI was the only independent predictor of elevated LSM. Non-Hispanic black participants were protected from both outcomes, while other ethnicities were not. CONCLUSION: The prevalence of elevated LSM is high in potential candidates for a bariatric surgery intervention. Accurate screening for occult advanced liver disease might be indicated in this patient population.

Seasonal variation in estimated cardiovascular risk in patients with type 2 diabetes.

BACKGROUND AND AIMS: Seasonal variations in several risk factors for cardiovascular events (CVD) were described. Here, we evaluate the impact of seasonal variations in blood pressure (BP), lipid profile and glycemic control on estimated CVD risk in patients with type 2 diabetes (T2D). METHODS AND RESULTS: Retrospective monocentric study of patients with T2D who were visited at least once in the winter period and once in the summer period, less than 8 months apart, for which data related to systolic (S) BP, diastolic (D) BP, body mass index, glycosylated hemoglobin (HbA1c), total cholesterol, HDL cholesterol and smoking habit were available on both occasions. The 10-year CVD risk was calculated using the UKPDS risk engine and the ASCVD risk estimator. As many as 411 patients were included in the study. Significant within-patient differences between summer and winter were found for the absolute risk of events assessed with both calculators (Δs-w UKPDS-CHD: -1.33%, Δs-w UKPDS-Stroke: -0.84%, Δs-w ASCVD: -2.21%). The seasonal change in SBP was the main responsible for the change in risk estimated with both the UKPDS-Stroke (r2 = 0.43) and the ASCVD (r2 = 0.50) scores, while the change in total cholesterol was the main determinant of the change in risk for the UKPDS-CHD (r2 = 0.34). A significant correlation was identified between changes in temperature and changes in SBP (ρ = 0.130, p = 0.008), but not in other risk factors. CONCLUSIONS: Seasonal variations in the classic CVD risk factors influence the risk estimated using validated calculators.

Metabolic and Psychological Features are Associated with Weight Loss 12 Months After Sleeve Gastrectomy.

CONTEXT: Laparoscopic sleeve gastrectomy (LSG) is a recognized effective procedure of bariatric surgery, but a poor response in weight loss may still represent a clinical problem. To date there are no validated predictors useful to better perform patient selection. OBJECTIVE: To establish the association of baseline anthropometric, metabolic, and psychologic features with the percent total weight loss (%TWL) and percent excess weight loss (%EWL) 12 months after surgery. DESIGN: Retrospective longitudinal analysis of a set of data about obese patients attending the outpatient service of a single obesity center from June 2016 to June 2019. PATIENTS: A total of 106 obese patients underwent LSG with presurgery evaluation and follow-up at 12 months after surgery. MAIN OUTCOME: Weight loss 12 months after LSG. RESULTS: Patients who achieved a %TWL higher than the observed median (≥34%) were younger, with a lower fasting plasma glucose and glycated hemoglobin, with a lower prevalence of hypertension and with a lower score in the impulsiveness scale, compared with patients with a %TWL < 34%. Similar findings were found when %EWL was considered. Multivariable stepwise regression analysis showed that younger age, lower impulsiveness, higher-than-normal urinary free cortisol, and lower HbA1c were associated with higher %TWL, explaining about 31.5% of the weight loss. CONCLUSION: Metabolic and psychologic features at baseline were independently associated with weight loss and explained a non-negligible effect on the response to LSG. These data suggest that careful metabolic and psychologic profiling could help in sharper indications and personalized pre- and postsurgical follow-up protocols in candidates for LSG.

Hypercortisolism and altered glucose homeostasis in obese patients in the pre-bariatric surgery assessment.

AIMS: Hypothalamus-pituitary-adrenal (HPA) axis hyperactivity was suggested to be associated with the metabolic syndrome (MS), obesity and diabetes. The aim of this study was to test whether hypercortisolism was associated with altered glucose homeostasis and insulin resistance, hypertension and dyslipidemia in a homogeneous population of obese patients. MATERIALS/METHODS: In retrospective analysis of a set of data about obese patients attending the outpatient service of a single obesity centre between January 2013 and January 2020, 884 patients with BMI >30 kg/m2 were segregated in two subgroups: patients with urinary free cortisol (UFC) higher than normal (UFC+; n = 129) or within the normal range (UFC-; n = 755). RESULTS: The overall prevalence of UFC+ was 14.6% and double test positivity (morning cortisol >1.8 mcg/dL following overnight dexamethasone suppression test, ODST) was detected in 1.0% of patients. Prediabetes (OR 1.74; 95%CI 1.13-2.69; p = 0.012) and diabetes (OR 2.03; 95%CI 1.21-3.42; p = 0.008) were associated with higher risk of UFC+ when analysis was adjusted for confounding variables. Conversely, hypertension and dyslipidemia were not related to UFC+. Within the individuals with normal FPG and HbA1c, those with higher estimated insulin resistance (HOMA2-IR) maintained a higher risk of UFC+ (OR 2.84, 95%CI 1.06-7.63; p = 0.039) and this relationship was weakened only when the body fat percentage was included into the model. CONCLUSIONS: In obese patients, hypercortisolism was more frequent across the entire spectrum of altered glucose homeostasis including the very early stages; this relation could not be detected for the other criteria of the MS, as waist, hypertension and atherogenic dyslipidemia.

Baseline TSH levels and short-term weight loss after different procedures of bariatric surgery.

BACKGROUND: Bariatric surgery is a valuable therapeutic option in the treatment of obesity but the outcomes show a large subject-to-subject variability yet to be explained. Thyroid function may represent an involved factor and we have only few controversial data about its influence. SUBJECTS/METHODS: We retrospectively assessed using a longitudinal approach the relation between baseline TSH levels and short-term (6 and 12 months) weight loss in 387 euthyroid patients who underwent laparoscopic gastric banding (LAGB; n = 187) or sleeve gastrectomy (SG; n = 200). RESULTS: After LAGB, patients with low-normal TSH levels (0.40-1.40 mUI/L) had higher percent total weight loss, ∆BMI and percent excess weight loss when compared to patients with normal (1.41-2.48 mUI/L) and high-normal (2.49-4.00 mUI/L) TSH (p < 0.05). Conversely, no association was detected after SG (p = 0.17). The multivariable regression analysis showed that also baseline BMI (6-12 months) and HOMA2-IR (only at 6 months) were independently associated with the outcomes. CONCLUSIONS: TSH levels may influence the short-term weight loss response after LAGB. The lack of association after SG suggests that the influence of baseline endocrine and metabolic factors may not be relevant for procedures with greater and more immediate calorie intake restriction.

Resting Whole Body Energy Metabolism in Class 3 Obesity; from Preserved Insulin Sensitivity to Overt Type 2 Diabetes.

CONTEXT: Insulin resistance and diabetes may influence separately or in combination whole body energy metabolism. OBJECTIVE: To assess the impact of insulin resistance and/or overt type 2 diabetes on resting energy expenditure (REE) in class 3 obese individuals. DESIGN AND SETTING: Retrospective, cross-sectional analysis of a set of data about individuals attending the outpatients service of a single center of bariatric surgery between January 2015 and December 2017. PATIENTS: We screened 382 patients in which abnormal thyroid function was excluded, and segregated them in three groups of subjects: patients with type 2 diabetes (T2DM; n=70), non-diabetic insulin-resistant patients with HOMA-IR ≥ 3 (n=236), non-diabetic insulin-sensitive patients with HOMA-IR < 3 (n=75). MAIN OUTCOME MEASURE: Resting energy expenditure (REE), body composition and insulin resistance assessed using indirect calorimetry, bioimpedance and HOMA-IR. RESULTS: Non-diabetic insulin-sensitive patients resulted to be younger, with lower BMI and higher prevalence of female subjects; meanwhile, non-diabetic but insulin-resistant patients and T2DM patients were not different in terms of anthropometric parameters. REE was higher in T2DM than in non-diabetic insulin-resistant and insulin-sensitive individuals when expressed as percent of the predicted REE (based on Harris Benedict equation) (p<0.0001) or when adjusted for kg of free fat mass (p<0.0001) and was found to be higher also in insulin-resistant vs insulin-sensitive patients (p<0.001). The respiratory quotient was different between groups (0.87±0.11, 0.86±0.12 and 0.91±0.14 in T2DM, insulin-resistant and insulin-sensitive patients, respectively; p<0.03). Regression analysis confirmed that HOMA-IR was independently associated with the REE (R2=0.110, p<0.001). CONCLUSION: Class 3 obese patients with normal insulin sensitivity are characterized by reduced fasting REE in comparison to insulin-resistant obese patients and obese patients with short duration of diabetes supporting the hypothesis that down-regulation of nutrients' oxidative disposal may represent an adaptation of energy metabolism in obese individuals with preserved insulin sensitivity.

Resting Energy Expenditure in Obese Women with Primary Hypothyroidism and Appropriate Levothyroxine Replacement Therapy.

CONTEXT: Growing evidence suggests that appropriate levothyroxine (LT4) replacement therapy may not correct the full set of metabolic defects afflicting individuals with hypothyroidism. OBJECTIVE: To assess whether obese subjects with primary hypothyroidism are characterized by alterations of the resting energy expenditure (REE). DESIGN: Retrospective analysis of a set of data about obese women attending the outpatients service of a single obesity center from January 2013 to July 2019. PATIENTS: A total of 649 nondiabetic women with body mass index (BMI) > 30 kg/m2 and thyrotropin (TSH) level 0.4-4.0 mU/L were segregated into 2 groups: patients with primary hypothyroidism taking LT4 therapy (n = 85) and patients with normal thyroid function (n = 564). MAIN OUTCOMES: REE and body composition assessed using indirect calorimetry and bioimpedance. RESULTS: REE was reduced in women with hypothyroidism in LT4 therapy when compared with controls (28.59 ±â€…3.26 vs 29.91 ±â€…3.59 kcal/kg fat-free mass (FFM)/day), including when adjusted for age, BMI, body composition, and level of physical activity (P = 0.008). This metabolic difference was attenuated only when adjustment for homeostatic model assessment of insulin resistance (HOMA-IR) was performed. CONCLUSIONS: This study demonstrated that obese hypothyroid women in LT4 therapy, with normal serum TSH level compared with euthyroid controls, are characterized by reduced REE, in line with the hypothesis that standard LT4 replacement therapy may not fully correct metabolic alterations related to hypothyroidism. We are not able to exclude that this feature may be influenced by the modulation of insulin sensitivity at the liver site, induced by LT4 oral administration.

Screening for non-alcoholic fatty liver disease in type 2 diabetes using non-invasive scores and association with diabetic complications.

OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is prevalent in patients with type 2 diabetes. Here, we estimate the proportion of patients with type 2 diabetes that should be referred to hepatologists according to the European Association for the Study of the Liver (EASL)-European Association for the Study of Diabetes (EASD)-European Association for the Study of Obesity (EASO) Guidelines and evaluate the association between non-invasive biomarkers of steatosis and fibrosis and diabetic complications. RESEARCH DESIGN AND METHODS: This is a retrospective analysis of type 2 diabetes patients who attended on a regular basis our diabetes clinic between 2013 and 2018 (n=2770). Steatosis was assessed using Fatty Liver Index (FLI), Hepatic Steatosis Index and NAFLD Ridge Score and fibrosis using NAFLD Fibrosis Score (NFS), Fibrosis-4 (FIB-4), aspartate aminotransferase (AST) to platelet ratio index (APRI) and AST/alanine aminotransferase (ALT) ratio. Outcome measures were altered albumin excretion rate (AER), chronic kidney disease (CKD) and cardiovascular disease (CVD). RESULTS: The prevalence of advanced fibrosis varied from 1% (APRI) to 33% (NFS). The application of the guidelines using a sequential combination of FLI and FIB-4 would lead to referral of 28.3% of patients when using standard FIB-4 cut-offs, while this number dropped to 13.4% when age-adjusted FIB-4 thresholds were applied. A higher prevalence of altered AER was associated with liver steatosis (FLI: OR: 3.49; 95% CI 2.05 to 5.94, p<0.01), whereas liver fibrosis was associated with CKD (FIB-4: OR: 6.39; 95% CI 4.05 to 10.08, p<0.01) and CVD (FIB-4: OR: 2.62; 95% CI 1.69 to 4.04, p<0.01). CONCLUSIONS: While specific fibrosis scores identify different proportion of patients with advanced fibrosis, the use of age-adjusted FIB-4 cut-offs leads to a drop in gray-zone results, making referrals to hepatologists more sustainable. Interestingly non-invasive biomarkers were consistently associated with a different pattern of diabetic complications.