The relationship between body fat mass and erectile dysfunction in Korean men: Hallym Aging Study

Erectile Dysfunction as an Obesity-Related Condition in Elderly Men with Coronary Artery Disease

Background: This cross-sectional study aimed to investigate the prevalence of erectile dysfunction (ED) in elderly men with overweight or obesity and coronary artery disease. Methods: Patients recruited in cardiac rehabilitation centers post-myocardial infarction provided demographic and anthropomorphic data. ED was assessed using the abbreviated International Index of Erectile Function 5 (IIEF-5) Questionnaire. Results: The study included 661 men with a mean age of 67.3 ± 5.57 years, a mean BMI of 27.9 ± 3.6 m/kg2, and a mean waist circumference of 98.9 ± 10.23 cm. Over 90% of men experienced ED, with similar proportions across BMI categories. The development of ED in men with a waist circumference of ≥100 cm had 3.74 times higher odds (OR 3.74; 95% CI: 1.0-13.7; p = 0.04) than in men with a waist circumference of <100 cm. Men with obesity and moderate-to-severe and severe ED were older compared to those without these disorders (67.1 ± 5.29 vs. 65.3 ± 4.35; p = 0.23). Conclusions: The prevalence of ED in men with coronary artery disease surpasses 90%. An increased body weight raises the risk of ED, with waist circumference proving to be a more reliable predictor of this risk compared to BMI. Physicians are encouraged to screen elderly patients with cardiovascular disease for ED and address obesity to enhance overall health.

Effects of obesity-related anthropometric indices and body composition on erectile dysfunction mediated by coronary artery disease: A Mendelian randomization study

BACKGROUND

The causal relationship between obesity-related anthropometric indicators/body composition and erectile dysfunction has not been established in previous observational studies.

METHOD

We screened single nucleotide polymorphisms significantly associated with exposure from genome-wide association studies as instrumental variables (p < 5.0 × 10-8 ). The summary statistics for erectile dysfunction were collected from a genome-wide association study with a sample size of 223,805. Exposure and outcome populations included are of European ancestry. We used univariate and multivariate Mendelian randomization (i) to investigate the causal relationship between genetically predicted obesity-related anthropometric indicators/body composition and erectile dysfunction and (ii) to examine the mediating role of coronary artery disease. Mendelian randomization analysis was conducted using an inverse variance weighted method. A series of sensitivity analyses validated the results of the Mendelian randomization analysis. Causal estimates are expressed as odds ratios with 95% confidence intervals.

RESULTS

Obesity-related anthropometric indicators/body composition were associated with an increased risk of erectile dysfunction in univariate Mendelian randomization analyses. For the 1-SD increase in body mass index, the odds ratio was 1.841 (95% confidence interval: 1.049-1.355, p = 0.006). For the 1-SD increase in waist circumference and hip circumference, the odds ratios were 1.275 (95% confidence interval: 1.101-1.478, p = 0.001) and 1.156 (95% confidence interval: 1.015-1.317, p = 0.009), respectively. The odds ratio for the 1-SD increase in whole body fat mass was 1.221 (95% confidence interval: 1.047-1.388, p = 0.002). For the 1-SD increase in leg fat percentage (left and right), the odds ratios were 1.256 (95% confidence interval: 1.006-1.567, p = 0.044) and 1.285 (95% confidence interval: 1.027-1.608, p = 0.028), respectively. For the 1-SD increase in leg fat mass (left and right), the odds ratios were 1.308 (95% confidence interval: 1.108-1.544, p = 0.001) and 1.290 (95% confidence interval: 1.091-1.524, p = 0.003), respectively. For the 1-SD increase in arm fat mass (left and right), the odds ratios were 1.269 (95% confidence interval: 1.113-1.447, p < 0.001) and 1.254, respectively. Multivariate Mendelian randomization analysis showed that after adjusting for coronary artery disease, some genetic predispositions to obesity-related anthropometric indicators and body composition were still associated with an increased risk of erectile dysfunction. Significant associations were found for waist circumference-erectile dysfunction (odds ratio: 1.218, 95% confidence interval: 1.036-1.432), leg fat percentage (left)-erectile dysfunction (odds ratio: 1.245, 95% confidence interval: 1.035-1.497), leg fat mass (left)-erectile dysfunction (odds ratio: 1.264, 95% confidence interval: 1.051-1.521), arm fat mass (right)-erectile dysfunction (odds ratio: 1.186, 95% confidence interval: 1.024-1.373), and arm fat mass (left)-erectile dysfunction (odds ratio: 1.17, 95% confidence interval: 1.018-1.360). Meanwhile, coronary artery disease mediated the effects of fat on erectile dysfunction, and the proportion of coronary artery disease-mediated cases ranged from 10% to 22%.

CONCLUSION

There is a potential causal relationship between obesity-related anthropometric indicators/body composition and erectile dysfunction. Higher waist circumference, leg fat percentage, and arm fat mass may increase the risk of erectile dysfunction, and coronary artery disease partly mediates this overall effect. Understanding the causal relationship between obesity and erectile dysfunction and the mediating role of coronary artery disease may provide more information for erectile dysfunction intervention and prevention strategies.

Genetic Risk Assessment of Nonsyndromic Cleft Lip with or without Cleft Palate by Linking Genetic Networks and Deep Learning Models

Recent deep learning algorithms have further improved risk classification capabilities. However, an appropriate feature selection method is required to overcome dimensionality issues in population-based genetic studies. In this Korean case-control study of nonsyndromic cleft lip with or without cleft palate (NSCL/P), we compared the predictive performance of models that were developed by using the genetic-algorithm-optimized neural networks ensemble (GANNE) technique with those models that were generated by eight conventional risk classification methods, including polygenic risk score (PRS), random forest (RF), support vector machine (SVM), extreme gradient boosting (XGBoost), and deep-learning-based artificial neural network (ANN). GANNE, which is capable of automatic input SNP selection, exhibited the highest predictive power, especially in the 10-SNP model (AUC of 88.2%), thus improving the AUC by 23% and 17% compared to PRS and ANN, respectively. Genes mapped with input SNPs that were selected by using a genetic algorithm (GA) were functionally validated for risks of developing NSCL/P in gene ontology and protein-protein interaction (PPI) network analyses. The IRF6 gene, which is most frequently selected via GA, was also a major hub gene in the PPI network. Genes such as RUNX2, MTHFR, PVRL1, TGFB3, and TBX22 significantly contributed to predicting NSCL/P risk. GANNE is an efficient disease risk classification method using a minimum optimal set of SNPs; however, further validation studies are needed to ensure the clinical utility of the model for predicting NSCL/P risk.

Impact of body composition analysis on male sexual function: A metabolic age study

Introduction

Metabolic Age (MetAge) and body composition analysis may reflect an individual's metabolic status, which is believed to influence male sexual and gonadal functions. Although erectile dysfunction (ED) and hypogonadism are increasingly prevalent with age, they are also detected among younger men. This study aims to assess the impact of MetAge and body composition on male sexual and gonadal status overall, and particularly in men younger than 40 years of age.

Methods

This was a cross-sectional study of 90 male healthcare workers, between the ages of 18-55, randomly selected based on their corporation numbers. In addition to Bioelectric Impedance Analysis, subjects were requested to fill the International Index of Erectile Function questionnaire (IIEF-5) and to provide an early morning serum testosterone (T) sample.

Results

The mean participants' age was 39.4 ± 9.4 years, MetAge was 45.54 ± 10.35 years, serum T level was 13.68 ± 4.49 nmol/L and BMI was 28.8 ± 4.7 kg/m2. Significant negative correlations were obtained between serum T, MetAge, body weight and fat composition. Significant negative correlations between the IIEF-5 score, MetAge, and fat composition, were only reported in subjects <40 years of age. Significantly lower T levels (p=0.002), significantly older MetAge (p=0.034), and higher BMI (p=0.044) and degree of obesity (p=0.042) were observed in participants <40 years with erectile dysfunction (ED) compared to their counterparts without ED.

Discussion

MetAge and body composition parameters significantly impact the androgenic state. ED in men <40 years is associated with lower T levels, older MetAge and higher BMI and degree of obesity.

Association between sarcopenia and erectile dysfunction in older males

INTRODUCTION

In advanced age, both sarcopenia and erectile dysfunction (ED) occur with similar underlying causes through different mechanisms. In our study we investigated the association between sarcopenia and ED in older men.

METHODS

A total of 193 male patients aged 60 years and older were included in the study. The presence of sarcopenia was investigated in accordance with EWGSOP2 diagnostic criteria. For evaluation of ED, we used the 5-question International Index of Erectile Dysfunction questionnaire with categories of no ED, mild-moderate ED, and moderate-severe ED. Total testosterone levels were measured.

RESULTS

The median age of the patients was 71.9 (range 60-93 years). The prevalence of sarcopenia was 24.9%, and moderate-severe ED was 49.2%. Moderate-severe ED was more common in patients with sarcopenia than those without (70.8% vs 42.1%, p < 0.001). After adjustment for age and Charlson Comorbidity Index, the presence of sarcopenia was significantly associated with moderate-severe ED with odds ratio (OR) of 2.71 (95% Confidence Interval [CI] 1.29-5.73, p = 0.009). The components of sarcopenia were assessed separately in multivariate analysis. Muscle strength and muscle mass were significantly associated with moderate-severe ED with OR of 0.93 (95%CI 0.89-0.98) and 0.68 (95%CI 0.54-0.86), respectively, whereas gait speed was not associated with moderate-severe ED.

CONCLUSION

The presence of sarcopenia in older men is associated with an increased risk of moderate-severe ED. In addition, decreased muscle strength and decreased muscle mass are associated with an increased risk of moderate-severe ED. Prospective studies are needed to reveal the causality between sarcopenia and ED.

Prevalence of and risk factors for erectile dysfunction in young nondiabetic obese men: results from a regional study

Erectile dysfunction (ED), a condition closely related to cardiovascular morbidity and mortality, is frequently associated with obesity. In this study, we aimed to determine the prevalence of ED and evaluate the associated risk factors in a cohort of 254 young (18-49 years) nondiabetic obese (body mass index [BMI] ≥ 30 kg m^-2) men from primary care. Erectile function (International Index of Erectile Function [IIEF-5] questionnaire), quality of life (Aging Males' Symptoms [AMS scale]), and body composition analysis (Tanita MC-180MA) were determined. Total testosterone was determined using high-performance liquid chromatography-mass spectrometry. Multivariate logistic regression analysis was used to study the factors associated with ED. ED prevalence was 42.1%. Subjects with ED presented higher BMI, waist circumference, number of components of the metabolic syndrome, AMS score, insulin resistance, and a more unfavorable body composition than those without ED. Multivariate logistic regression analysis showed that a pathological AMS score (odds ratio [OR]: 4.238, P < 0.001), degree of obesity (BMI ≥ 40 kg m^-2, OR: 2.602, P = 0.005, compared with BMI 30-34.9 kg m^-2), high-density lipoprotein (HDL)-cholesterol levels (OR: 0.956, P = 0.004), and age (OR: 1.047, P = 0.016) were factors independently associated with ED. In conclusion, we demonstrate that, in a primary care-based cohort of nondiabetic young obese men, ED affected >40% of subjects. A pathological AMS score, the degree of obesity, and age were positively associated with ED, while elevated HDL-cholesterol levels were inversely associated with the odds of presenting ED. Further prospective studies are needed to evaluate the long-term consequences of ED in this population.

Association of body composition with disease activity and disability in rheumatoid arthritis

BACKGROUND/AIMS

To explore the associations between body composition and pain, disease activity, and disability in rheumatoid arthritis (RA).

METHODS

The study enrolled 335 patients with RA and underwent body composition measurement with an InBody analyzer. The associations of body mass index (BMI), body fat mass, and skeletal muscle mass with disease activity score in 28 joints (DAS28), an index derived to measure the subjective component of DAS28 (DAS28-P), a pain visual analogue scale (VAS), and disability measured with the health assessment questionnaire (HAQ) were explored. Obesity was defined as BMI ≥ 25 kg/m2.

RESULTS

The median (interquartile range) disease duration was 6 years (3.5 to 9) and the mean DAS28 score was 3.6 ± 1.1. The mean BMI was 23.6 ± 3.6 kg/m2 and 109 patients (32.5%) were obese. Compared with non-obese patients, obese patients had a higher C-reactive protein (1.68 mg/dL vs. < 0.1 mg/dL, p = 0.013), higher pain VAS score (40 vs. 35, p = 0.031), and higher DAS28-erythrocyte sedimentation rate score (3.75 ± 1.18 vs. 3.46 ± 1.11, p = 0.031). In multivariate regression analysis, the DAS28 score in females was positively associated with the current steroid dose, body fat mass, and HAQ score, while the HAQ score in females was associated with older age, DAS28, lower skeletal muscle mass, and higher body fat/skeletal muscle ratio. In the multivariate regression analysis, the DAS28-P score in females was positively associated with body fat/skeletal muscle ratio and HAQ.

CONCLUSION

Body composition, such as the body fat mass and body fat/skeletal muscle ratio, is significantly associated with disease activity and disability in female RA patients.

Identification of pleiotropic genetic variants affecting osteoporosis risk in a Korean elderly cohort

Pleiotropy has important implications for understanding the genetic basis and risk assessment of osteoporosis. Our aim was to identify pleiotropic genetic variants associated with the development of osteoporosis and predict osteoporosis risk by leveraging pleiotropic variants. We evaluated the effects of 21 conventional risk factors and 185 single-nucleotide polymorphisms (SNPs) in 63 inflammation- and metabolism-related genes on osteoporosis risk in a community-based Korean cohort study of 1025 participants, the Hallym Aging Study. Ten nongenetic factors, including sex (female) and hematocrit level, and 12 SNPs across ten genes showed evidence of association with incident osteoporosis in 270 initially osteoporosis-free subjects who completed a 6-year follow up. Three gene variants, rs1801282 (PPARG-Pro12Ala, hazard ratio (HR) = 3.26, P = 0.008), rs1408282 (near EPHA7, HR = 1.87, P = 0.002), and rs2076212 (PNPLA3-Gly115Cys, HR = 2.24, P = 0.024), were associated with significant differences in survival among the three genotype groups (P_diff = 0.042, 0.003, and 0.048, respectively). Individuals in the highest polygenic risk score tertile were 27.9 fold more likely to develop osteoporosis than those in the lowest tertile (P = 0.004). The PPARG gene in particular was a hub pleiotropic gene in the epistasis network. Our findings highlight pleiotropic modulations of metabolism- and inflammation-related genes in the development of osteoporosis and demonstrate the contribution of pleiotropic genetic variants in prediction of osteoporosis risk.

Genetic risk assessment for cardiovascular disease with seven genes associated with plasma C-reactive protein concentrations in Asian populations

Plasma C-reactive protein (CRP) level is a predictor of cardiovascular risk. We performed a meta-analysis on the effect of 12 single-nucleotide polymorphisms (SNPs) within 8 candidate loci in 36 752 Asians. In addition, we created weighted genetic risk scores (wGRSs) to evaluate the combined effects of genetic variants, which were suggested in the meta-analysis, for predicting the risks of elevated CRP levels as well as increased risks of hypertension and cardiovascular disease (CVD) in 748 Koreans. Nine SNPs located in seven genes, CRP, IL6R, GCKR, IL6, CYP17A1, HNF1A and APOE, were significantly associated with circulating CRP levels in this meta-analysis. Two SNPs, rs7310409 (HNF1A, P=3.4 × 10(-23)) and rs7553007 (CRP, P=3.4 × 10(-17)), had the most significant effects on CRP levels; and two SNPs, rs2097677 (IL6) and rs1004467 (CYP17A1) have never been found in the previous European meta-analysis. In Koreans, the subjects in the highest wGRS group had an ∼2.5-fold higher mean CRP level compared with those in the lowest wGRS group (P=2.1 × 10(-5)). We observed significant increases in the risks of hypertension (odds ratio=2.18, P=0.006) and CVD (odds ratio=9.59, P=3.2 × 10(-6)) among the subjects in the highest wGRS group. The wGRS models specific to Koreans may warrant further validation to be used as a proxy for the risk of CVD in Asians.

Gender differences in adiponectin levels and body composition in older adults: Hallym aging study

Background

Body composition changes with ageing can influence the adiponectin concentration. However, the component of body composition that is associated with adiponectin concentrations in older adults remains unclear.

Methods

There were 152 males and 168 females aged 65 years or older that participated in the 2010 Hallym Aging Study (HAS). Body composition (assessed by dual energy X-ray absorptiometry; DXA), anthropometric parameters and adiponectin were obtained from all participants. Multivariate linear regression models assessed the association of body fat percentage, regional muscle and bone mineral contents of body composition and waist/height ratio with adiponectin concentration. Age, albumin, testosterone concentration and metabolic parameters were considered as confounding factors.

Results

In correlation analysis, age was positively associated with adiponectin in males (P < 0.01), but not in females. Fasting glucose, albumin, arm skeletal muscle mass and bone mineral content were negatively associated with adiponectin in males (P < 0.05). Testosterone and leg bone mineral content were negatively associated with adiponectin in females (P < 0.05). In multivariate linear regression models, body fat percentage and albumin (P < 0.05) were negatively associated with adiponectin, and high-density lipoprotein cholesterol (HDL-C) (P < 0.001) and age (P < 0.01) were positively associated with adiponectin in older males. In older females, the only factors that correlated significantly with adiponectin concentration were the homeostasis model assessment of insulin resistance (P < 0.001) and HDL-C (P < 0.05). The waist/height ratio and bone mineral content were not associated with adiponectin in either gender.

Conclusion

Plasma adiponectin levels correlated negatively with body fat percentage in older males but not in older females. The differential results between older males and females suggest that certain gender-specific mechanisms may affect the association between adiponectin and age-related body composition changes.

Korean Society for Sexual Medicine and Andrology (KSSMA) Guideline on Erectile Dysfunction

In February 2011, the Korean Society for Sexual Medicine and Andrology (KSSMA) realized the necessity of developing a guideline on erectile dysfunction (ED) appropriate for the local context, and established a committee for the development of a guideline on ED. As many international guidelines based on objective evidence are available, the committee decided to adapt these guidelines for local needs instead of developing a new guideline. Considering the extensive research activities on ED in Korea, data with a high level of evidence among those reported by Korean researchers have been collected and included in the guideline development process. The latest KSSMA guideline on ED has been developed for urologists. The KSSMA hopes that this guideline will help urologists in clinical practice.

Association between body size and composition and erectile dysfunction in older men: Osteoporotic Fractures in Men Study

OBJECTIVES

To examine the association between body size and composition and erectile dysfunction (ED) in older men.

DESIGN

Cross-sectional analysis of the Osteoporotic Fractures in Men study.

SETTING

Six U.S. clinical sites.

PARTICIPANTS

Community-dwelling men aged 65 and older.

MEASUREMENTS

Body composition measures using anthropometry (body weight, body mass index (BMI)) and dual X-ray absorptiometry (total body fat percentage, trunk fat percentage, ratio of trunk and total body fat). ED was assessed using the single-item Massachusetts Male Aging Study (MMAS) scale and the five-item International Index of Erectile Function questionnaire (IIEF-5).

RESULTS

In men completing the MMAS scale (n = 4,108), prevalence of complete ED was 42%. In sexually active men completing the IIEF-5 questionnaire (n = 1,659), prevalence of moderate to severe ED was 56%. In multivariate-adjusted analyses reporting prevalence ratios (PRs) and 95% confidence intervals (CIs), the prevalence of MMAS-defined complete ED was significantly greater in men in the highest quartile of body weight (PR = 1.24, 95% CI = 1.16-1.34), total body fat percentage (PR = 1.25, 95% CI = 1.13-1.40), and trunk fat percentage (PR = 1.24, 95% CI = 1.15-1.38), and was greater in men with a BMI greater than 30.0 kg/m(2) than in those with BMI of 22.0 to 24.9 kg/m(2) (PR = 1.17, 95% CI = 1.05-1.31). Associations appeared similar for IIEF-5-defined moderate to severe ED in analyses adjusted for age and study site.

CONCLUSION

In a cohort of older men, high body weight, BMI, and total body fat percentage were independently associated with greater prevalence of moderate to severe and complete ED. Future studies should investigate whether interventions to promote weight loss and fat loss will improve erectile function in older men.

How to save a life during a clinic visit for erectile dysfunction by modifying cardiovascular risk factors

Erectile dysfunction (ED) is an early marker for systemic atherosclerosis and is a predictor for coronary artery disease and cardiac events. The aim of this paper is to convey the importance of addressing cardiovascular risk factors in patients with ED and to inform urologists as well as other physicians who are not specialized in cardiology how to carry out a basic cardiovascular evaluation, including history, physical examination and objective data. We review the evidence and pathophysiology linking ED to cardiovascular disease, and then describe how to carry out a basic cardiovascular evaluation. We present data from the literature showing that appropriate use of lifestyle modifications and medical therapy has a positive effect on mortality, on numerous cardiovascular end points and on ED. Suggestions of when to refer the ED patient to an internist or cardiologist are provided. Identifying and treating cardiovascular risk factors may not only benefit the patient's ED, but it might also save the patient's life.