RESUMEN
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.
Asunto(s)
Hiperplasia Prostática , Persona de Mediana Edad , Masculino , Humanos , Anciano , Obesidad/epidemiología , Índice de Masa Corporal , China/epidemiología , Relación Cintura-Estatura , Curva ROC , Circunferencia de la Cintura , Factores de RiesgoRESUMEN
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 â ¢,grayanotoxinâ , rhodojaponin â ¡, rhodojaponin â ¤, rhodojaponin â ¥, rhodojaponin â ¦, and kalmanol, which acted on the following 12 key targets: androgen receptor(AR), albumin(ALB), estrogen receptor ß(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.
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Enfermedad Hepática Inducida por Sustancias y Drogas , Medicamentos Herbarios Chinos , Animales , Cardiotoxicidad , Medicamentos Herbarios Chinos/toxicidad , Hormonas , Metabolómica , RatasRESUMEN
The co-contamination of naphthalene (NAP) and microcystin-LR (MC-LR) commonly occurs in eutrophic waters. However, the joint effects of NAP and MC-LR on plants in aquatic environments remain unknown. Landoltia punctata is characterized by high starch yields and high biomass in polluted waters and has been proven to be a bioenergy crop and phytoremediation plant. In this study, L. punctata was cultured in a nutrient medium with environmentally relevant NAP (0.1, 1, 3, 5, and 10 µg/L) and MC-LR (5, 10, 25, 50, and 100 µg/L) to determine individual and joint toxic effects. The effects of NAP and MC-LR on physiological responses of L. punctata, including growth, starch accumulation, and antioxidant responses, were studied. Bioaccumulation of MC-LR in L. punctata, with or without NAP, was also examined. The results showed that growth and chlorophyll-a contents of L. punctata were reduced at high concentrations of MC-LR (≥ 25 µg/L), NAP (≥ 10 µg/L) and their mixture (≥ 10 + 1 µg/L) after exposure for 7 d. Starch accumulation in L. punctata did not decrease when exposed to NAP and MC-LR, and higher starch content of 29.8 % ± 2.7 % DW could be due to the destruction of starch-degrading enzymes. The antioxidant responses of L. punctata were stronger after exposure to MC-LR + NAP than when exposed to a single pollutant, although not enough to avoid oxidative damage. NAP enhanced the bioaccumulation of MC-LR in L. punctata when NAP concentration was higher than 5 µg/L, suggesting that higher potentials of MC-LR phytoremediation with L. punctata may be observed in NAP and MC-LR co-concomitant waters. This study provides theoretical support for the application of duckweed in eutrophic waters containing organic chemical pollutants.
Asunto(s)
Araceae/fisiología , Toxinas Marinas/toxicidad , Microcistinas/toxicidad , Naftalenos/toxicidad , Antioxidantes/metabolismo , Araceae/efectos de los fármacos , Araceae/crecimiento & desarrollo , Bioacumulación/efectos de los fármacos , Biodegradación Ambiental , Biomasa , Modelos Biológicos , Fenotipo , Almidón/metabolismo , Pruebas de Toxicidad , Contaminantes Químicos del Agua/toxicidadRESUMEN
BACKGROUND: As the fastest growing plant, duckweed can thrive on anthropogenic wastewater. The purple-backed duckweed, Landoltia punctata, is rich in starch and flavonoids. However, the molecular biological basis of high flavonoid and low lignin content remains largely unknown, as does the best method to combine nutrients removed from sewage and the utilization value improvement of duckweed biomass. RESULTS: A combined omics study was performed to investigate the biosynthesis of flavonoid and the metabolic flux changes in L. punctata grown in different culture medium. Phenylalanine metabolism related transcripts were identified and carefully analyzed. Expression quantification results showed that most of the flavonoid biosynthetic transcripts were relatively highly expressed, while most lignin-related transcripts were poorly expressed or failed to be detected by iTRAQ based proteomic analyses. This explains why duckweed has a much lower lignin percentage and higher flavonoid content than most other plants. Growing in distilled water, expression of most flavonoid-related transcripts were increased, while most were decreased in uniconazole treated L. punctata (1/6 × Hoagland + 800 mgâ¢L-1 uniconazole). When L. punctata was cultivated in full nutrient medium (1/6 × Hoagland), more than half of these transcripts were increased, however others were suppressed. Metabolome results showed that a total of 20 flavonoid compounds were separated by HPLC in L. punctata grown in uniconazole and full nutrient medium. The quantities of all 20 compounds were decreased by uniconazole, while 11 were increased and 6 decreased when grown in full nutrient medium. Nutrient starvation resulted in an obvious purple accumulation on the underside of each frond. CONCLUSIONS: The high flavonoid and low lignin content of L. punctata appears to be predominantly caused by the flavonoid-directed metabolic flux. Nutrient starvation is the best option to obtain high starch and flavonoid accumulation simultaneously in a short time for biofuels fermentation and natural products isolation.