Comparison of the predictive value of anthropometric indicators for the risk of benign prostatic hyperplasia in southern China / 亚洲男科学杂志(英文版)

This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.

Toxicity mechanism of Rhododendri Mollis Flos: based on serum metabolomics and network toxicology / 中国中药杂志

This study aims to explore the toxicity mechanism of Rhododendri Mollis Flos(RMF) based on serum metabolomics and network toxicology. The toxic effect of RMF on normal rats was evaluated according to the symptoms, serum biochemical indexes, and histopathology. Serum metabolomics was combined with multivariate statistical analysis to search endogenous differential metabolites and related metabolic pathways. The toxic components, targets, and signaling pathways of RMF were screened by network toxicology technique, and the component-target-metabolite-metabolic pathway network was established with the help of serum metabolomics. The result suggested the neurotoxicity, hepatotoxicity, and cardiotoxicity of RMF. A total of 31 differential metabolites and 10 main metabolic pathways were identified by serum metabolomics, and 11 toxic components, 332 related target genes and 141 main signaling pathways were screened out by network toxicology. Further analysis yielded 7 key toxic components: grayanotoxin Ⅲ,grayanotoxinⅠ, rhodojaponin Ⅱ, rhodojaponin Ⅴ, rhodojaponin Ⅵ, rhodojaponin Ⅶ, and kalmanol, which acted on the following 12 key targets: androgen receptor(AR), albumin(ALB), estrogen receptor β(ESR2), sex-hormone binding globulin(SHBG), type 11 hydroxysteroid(17-beta) dehydrogenase(HSD17 B11), estrogen receptor α(ESR1), retinoic X receptor-gamma(RXRG), lactate dehydrogenase type C(LDHC), Aldo-keto reductase(AKR) 1 C family member 3(AKR1 C3), ATP binding cassette subfamily B member 1(ABCB1), UDP-glucuronosyltransferase 2 B7(UGT2 B7), and glutamate-ammonia ligase(GLUL). These targets interfered with the metabolism of gamma-aminobutyric acid, estriol, testosterone, retinoic acid, 2-oxobutyric acid, and affected 4 key metabolic pathways of alanine, aspartate and glutamate metabolism, cysteine and methionine metabolism, steroid hormone biosynthesis, and retinol metabolism. RMF exerts toxic effect on multiple systems through multiple components, targets, and pathways. Through the analysis of key toxic components, target genes, metabolites, and metabolic pathways, this study unveiled the mechanism of potential neurotoxicity, cardiotoxicity, and hepatotoxicity of RMF, which is expected to provide a clue for the basic research on toxic Chinese medicinals.