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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.

Introduction: Serum neurofilament light chain (sNfL) levels are biomarkers of neuro-axonal injury in multiple neurological diseases. Little is known on their potential role as prognostic markers in people without known neurological conditions. Objective: The aim of this study is to evaluate the association between sNfL levels and all-cause mortality in a general population setting. Methods: sNfL levels were measured in 2071 people aged 25–75 years from the general US population that participated in the 2013–2014 cycles of the National Health and Nutrition Examination Survey (NHANES). Cognitive function was evaluated in a subset of participants aged 60–75 years using the Consortium to Establish a Registry for Alzheimer’s Disease-Word Learning test, the Animal Fluency test and the Digit Symbol Substitution test. We applied Cox proportional hazard models adjusted for several potential confounders to evaluate the association between sNfL and all-cause mortality through December 2019 by linking NHANES data with data from the National Death Index. Results: In a cross-sectional analysis, higher sNfL levels were associated with worse performance in all three cognitive function tests. Over a median follow-up of 6.1 years, 85 participants died. In a multivariable model adjusted for age, sex, race-ethnicity, diabetes, chronic kidney disease, harmful alcohol consumption, cigarette smoke and prevalent cardiovascular disease, higher sNfL levels were significantly and positively associated with all-cause mortality (HR per unit increase in log-transformed sNfL: 2.46, 95% CI 1.77–3.43, p < 0.001). Results were robust when analyses were stratified according to age, sex, body mass index and kidney function. Conclusion: We found a positive association between sNfL levels and mortality in the general US population. Further studies are needed to understand the biological mechanisms underlying this association.

Aims: Evidence on the role of 25-Hydroxyvitamin D (25(OH)D) in the occurrence and progression of nonalcoholic fatty liver disease (NAFLD) is conflicting and population-based data are scarce. Here, we assess the association between 25(OH)D levels, NAFLD and liver fibrosis in the general population. Materials and Methods: This is an analysis of data from the 2017–2018 cycle of the National Health and Nutrition Examination Survey. We included adult participants with available data on vibration-controlled transient elastography (VCTE) and without viral hepatitis and significant alcohol consumption. Steatosis and fibrosis were diagnosed by the median values of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM), respectively. 25(OH)D was measured by high performance liquid chromatography-tandem mass spectrometry. Results: A total of 3970 participants (1928 men and 2042 women) were included in the study. The prevalence of NAFLD (CAP ≥ 274 dB/m) and significant liver fibrosis (LSM ≥ 8 kPa) were 41.7% (95% CI 39.4–44.0) and 8.4% (95% CI 7.0–9.9), respectively, while 21.1% (95% CI 17.3–25.4) of participants had low 25(OH)D levels (<50 nmol/L). A multivariable logistic regression model adjusted for age, sex, race-ethnicity, body mass index, waist circumference, calendar period, diabetes, chronic kidney disease, and vitamin D supplementation showed that compared with participants with low 25(OH)D, those with optimal levels (≥75 nmol/L) had lower odds of both NAFLD (OR 0.73, 95% CI 0.55–0.98 p = 0.038) and significant liver fibrosis (OR 0.65, 95% CI 0.44–0.96, p = 0.033). Conclusions: An inverse relationship was found between 25(OH)D and NAFLD and fibrosis, suggesting a possible role of vitamin D in NAFLD occurrence and progression.

CONTEXT: Serum neurofilament light chain (sNfL) levels are biomarkers of neuroaxonal injury in multiple neurological diseases. OBJECTIVE: Given the paucity of data on the distribution of sNfL levels in the general population, in the present study we identified predictors of sNfL levels in a community setting and investigated the association between diabetes and sNfL. METHODS: sNfL levels were measured in 2070 people aged 20 to 75 years from the general US population (275 with and 1795 without diabetes) that participated in the 2013-2014 cycle of the National Health and Nutrition Examination Survey. We evaluated the association between diabetes and sNfL levels after adjustment for age, sex, race-ethnicity, alcohol use, and kidney function using a multivariable linear regression model. Cognitive function was evaluated in a subset of participants aged 60 to 75 years using the Consortium to Establish a Registry for Alzheimer's Disease-Word Learning test, the Animal Fluency test, and the Digit Symbol Substitution test. RESULTS: The weighted prevalence of diabetes was 10.4% (95% CI, 9.0-11.9). In each age stratum, patients with diabetes exhibited higher sNfL levels compared with nondiabetic participants. Age, proportion of males, prevalence of diabetes, and homeostatic model of insulin resistance increased progressively across quartiles of sNfL levels in the overall population, whereas estimated glomerular filtration rate (eGFR) showed an opposite trend. In the multivariable model, age, sex, eGFR, alcohol use and diabetes were significantly associated with sNfL levels. Moreover, higher sNfL levels were associated with worse performance in all 3 cognitive function tests. CONCLUSION: Diabetes is associated with higher sNfL. Further large-scale and prospective studies are needed to replicate our results and evaluate the ability of sNfL to predict the incidence of neuropathy and dementia in this patient population.

Background: Even though hyperglycemia is a well-known cardiovascular risk factor, the absolute risk of cardiovascular events varies to a great extent within each glycemic category. The aim of this study is to evaluate whether N-terminal pro-B natriuretic peptide (NT-ProBNP) could help identify subjects at higher cardiovascular risk, independently of blood glucose levels. Methods: Serum NT-ProBNP levels were measured in 5502 people aged 45–79 years without heart failure from the general population (3380 with normoglycemia, 1125 with pre-diabetes and 997 with diabetes) that participated in the 1999–2004 cycles of the National Health and Nutrition Examination Survey. We applied Cox and Fine Gray models adjusted for cardiovascular risk factors to evaluate the association between NT-ProBNP levels and all-cause and cardiovascular mortality through December 2015. Results: After a median follow-up of 13 years, 1509 participants died, 330 of cardiovascular causes. In the multivariable-adjusted models, compared with participants with NT-ProBNP < 100 pg/ml, those with levels 100–300 pg/ml and ≥ 300 pg/ml had a higher incidence of both all-cause mortality (HR 1.61, 95% CI 1.12–2.32, p = 0.012 and HR 2.96, 95% CI 1.75–5.00, p < 0.001, respectively) and cardiovascular mortality (HR 1.57, 95% CI 1.17–2.10, p = 0.011 and HR 2.08, 95% CI 1.47–2.93, p < 0.001, respectively). The association was consistent in subgroup analyses based on glycemic status, obesity, age and sex. Conclusions: Elevated NT-ProBNP is independently associated with all-cause and cardiovascular mortality in the general population and could help identify patients at the highest risk. Further studies are needed to evaluate whether intensification of treatment based on biomarker data might lead to improvements in cardiovascular risk reduction.

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 (%TWL) and excess (%EWL) weight loss 12 months after surgery.DESIGN: retrospective longitudinal analysis of a set of data about obese attending the outpatients service of a single obesity center from June 2016 to June 2019.PATIENTS: 106 obese patients underwent LSG with pre-surgery 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 HbA1c, with a lower prevalence of hypertension and with a lower score in the impulsiveness scale, compared to the patients with a %TWL <34%. Similar findings were found when was considered %EWL. Multivariable stepwise regression analysis showed that younger age, lower impulsiveness, higher than normal urinary free cortisol and lower HbA1c were associates with higher %TWL, explaining about 31.5% of the outcome.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 post-surgical follow-up protocols in candidates for LSG.

Objective: Visit-to-visit variability in SBP is a risk factor for cardiovascular disease (CVD) in type 2 diabetes (T2DM) but little is known on whether in T2DM this differs according to presence or absence of previous CVD. Methods: We retrospectively assessed the coefficient of variation (standard deviation/mean) of mean SBP (SBP-CV) in 970 patients (44% with established CVD) attending at least four times our secondary care diabetes clinic in 2015–2016 to estimate their risk of CVD-related events using the 10-year UKPDS Risk Engine. Results: Patients with established CVD had a higher SBP-CV (10.3 ± 4.8%) than patients without CVD (8.9 ± 4.3%; P < 0.001) as confirmed by the progressively higher prevalence of established CVD in tertiles of SBP-CV (36.6, 46.1, and 52.0%; P < 0.001), in association with more aggressive and complex drug regimens. On the basis of the 10-year UKPDS Risk Engine, higher SBP-CV values were associated with increased risks of the CVD outcomes regardless of the previous history of CVD in multivariate models. Conclusion: Visit-to-visit variability of SBP was greater in T2DM patients with that in those without previous history of CVD, and maintained an independent association with higher estimated risk of CVD-related events regardless of the history of CVD, suggesting that its prognostic significance is relevant in the entire CVD continuum of patients with T2DM.

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 shor

Giuseppina Manzoni,1 Alice Oltolini,1 Silvia Perra,1 Emanuele Muraca,1 Stefano Ciardullo,1,2 Mattia Pizzi,3 Giovanna Castoldi,2 Guido Lattuada,1 Pietro Pizzi,3 Gianluca Perseghin1,2 1Department of Medicine and Rehabilitation, Policlinico di Monza, Monza, Italy; 2Department of Medicine and Surgery, Università Degli Studi di Milano Bicocca, Monza, Italy; 3Centre for Obesity Research, Policlinico di Monza, Monza, ItalyCorrespondence: Gianluca PerseghinDepartment of Medicine and Rehabilitation, Policlinico di Monza, Via Modigliani 10, Monza, MB 20900, ItalyTel +39 039 281 0430Email gianluca.perseghin@policlinicodimonza.itContext: 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 predicte

This paper outlines some of the challenges faced by regulation of genetic biobanking, using case studies coming from the Italian legal system. The governance of genetic resources in the context of genetic biobanks in Italy is discussed, as an example of the stratification of different inputs and rules: EU law, national law, orders made by authorities and soft law, which need to be integrated with ethical principles, technological strategies and solutions. After providing an overview of the Italian legal regulation of genetic data processing, it considers the fate of genetic material and IP rights in the event of a biobank's insolvency. To this end, it analyses two case studies: a controversial bankruptcy case which occurred in Sardinia, one of the first examples of private and public partnership biobanks. Another case study considered is the Chris project: an example of partnership between a research institute in Bolzano and the South Tyrolean Health System. Both cases seem to point in the same direction, suggesting expediency of promoting and improving public-private partnerships to manage biological tissues and biotrust to conciliate patent law and public interest.