Association between body mass index and sex hormones among men: Evidence from cross-sectional and Mendelian randomization studies.

This study aims to investigate the association between Body Mass Index (BMI) and sex hormone levels utilizing a cross-sectional study design alongside Mendelian randomization (MR) analysis. A cross-sectional study was performed based on National Health and Nutrition Examination Survey (NHANES) 2013-2016. Additionally, a two-sample MR analysis was performed, utilizing Single Nucleotide Polymorphisms (SNPs) associated with BMI identified in a genome-wide association study (GWAS) comprising 339224 individuals. Data on outcomes, including total testosterone (TT, 199569 samples), estradiol (E2, 17134 samples), and sex hormone binding globulin (SHBG, 185211 samples), were sourced from the United Kingdom Biobank (UKB). In cross-sectional analysis involving 4092 males, multivariable linear regression demonstrated that each unit increase in BMI was positively correlated with an elevated risk of testosterone deficiency (TD), increased E2 levels, and a reduced TT, SHBG, free androgen index and TT/E2. Subsequent quartile division of BMI revealed, through multivariable logistic regression, that higher BMI quartiles were associated with a greater TD risk, elevated E2 levels, and reduced TT, SHBG, and TT/E2 levels compared to quartile 1 (P for trend <0.001). In the MR analysis, a causal effect was established, with each unit increase in BMI being associated with decreased TT (β = -0.17; 95 % CI -0.24 to -0.09) and SHBG (β = -0.13; 95 % CI -0.21 to -0.05) levels. Our findings unveil a causal link between BMI and reduced TT and SHBG levels in males.

被引量：- 发表：1970

Letter to the editor: Incidence of type 2 diabetes after gastric by-pass surgery in a Swedish controlled cohort study.

被引量：- 发表：1970

Single point insulin sensitivity estimator index for identifying metabolic syndrome in US adults: NHANES 2017-march 2020.

被引量：- 发表：1970

Lipidomics reveals ceramide biomarkers for detecting central precocious puberty in girls.

Pubertal timing is modulated by complex interactions between the pituitary and gonadal sex steroid hormones. Evidence indicates that sphingolipids are involved in the biosynthesis of steroid hormones at multiple levels. This study recruited adolescent female patients from pubertal and pediatric endocrine clinics in Northern and Southern Taiwan from the Taiwan Puberty Longitudinal Study. A total of 112 plasma samples (22 healthy control, 29 peripheral precocious puberty (PPP), and 61 CPP samples) were collected. We extracted lipids from the plasma samples using the modified Folch method. The un-targeted ultrahigh-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was employed for the lipid analysis. We identified sphingolipid-linked metabolites, including Cer(18:0/15:0), Cer(18:1/16:0), and Cer(18:1/26:0) as candidate biomarkers for distinguishing girls with CPP from the control group by using an excellent discrimination model (AUC = 0.964). Moreover, Cer(18:0/22:0) and Cer(d18:0/18:1) were identified as potential biomarkers of PPP, with an AUC value of 0.938. Furthermore, CerP(18:1/18:0) was identified as the sole candidate biomarker capable of differentiating CPP from PPP. The biomarkers identified in this study can facilitate the accurate detection of CPP in girls, provide insights into lipid-linked pathophysiology, and present a novel method of monitoring the progression of this disorder.

被引量：- 发表：1970

Possible pitfalls in the prediction of weight gain in middle-aged normal-weight individuals: Results from the NDB-K7Ps-study-2.

The prevalence of obesity has not decreased worldwide and obesity-related morbidities have been increasing steadily. However, few studies have investigated factors contributing to weight gain in normal-weight individuals. Thus, in this community-based cohort study, we aimed to investigate factors contributing to weight gain in normal-weight participants. Clinical variables and 10 % increase in weight over 10 years (10 %IBW10Y) were retrospectively investigated in apparently healthy 615,077 normal-weight (body mass index (BMI) 21.0-24.9 kg/m2) participants aged 40-64 years who had regularly undergone health checkup. Machine learning and logistic regression analysis (nested case-control study) were used to predict 10 %IBW10Y. In total, 6.8 % of men and 8.9 % of women had 10 %IBW10Y (P < 0.0001). The prevalence of obesity (BMI ≥25.0 kg/m2) after 10 years and weight gain were higher in participants with 10 %IBW10Y (72.3 %, 8.9 kg) (case-group) versus those without 10 %IBW10Y (11.5 %, -0.4 kg) (control-group), respectively. Machine learning showed positive contributing factors to 10 %IBW10Y were, in descending order, age early 40 s, current smoking, female sex, low serum triglyceride (≤59 mg/dL), and low glycated hemoglobin (HbA1c) (≤4.9 %). Age early 60 s, non-smoking, male sex, high triglyceride (≥200 mg/dL), and HbA1c 6.0 %-6.9 % were negative contributing factors. Logistic regression analysis showed similar results except for high HbA1c (≥7.5 %) as a positive contributing factor. In middle-aged individuals with normal weight who undergo regular health check-ups, certain favorable features (female sex, low triglyceride, and low HbA1c), as well as smoking habits that are subject to change in the future, which could lead to weight gain, may be overlooked. 250 ＜250 words.

被引量：- 发表：1970