Adolescent ; Adult ; Aged ; Aged, 80 and over ; China ; epidemiology ; Female ; Heart Neoplasms ; epidemiology ; Humans ; Male ; Middle Aged ; Young Adult

OBJECTIVETo investigate the expressions of transforming growth factor-beta(1) and Smad4 in the prostatic tissue of rat models of chronic nonbacterial prostatitis (CNP), and to explore the mechanisms of CNP and its fibrosis.

METHODSSixty 6-month-old SD rats were randomly allocated into three groups of equal number: normal control, 30 d CNP model and 45 d CNP model, the models made by castration + high-dose intramuscular injection of estradiol benzoate. The expressions of TGF-beta1 and Smad4 in the prostatic tissue were detected by immunohistochemistry and Western blot.

RESULTSCompared with the normal controls, the 30 d and 45 d CNP rat models showed a significantly increased expression of TGF-beta1 and decreased expression of Smad4 (P < 0.05), even more significantly in the 45 d than in the 30 d group. And the expression of TGF-beta1 was negatively correlated with that of Smad4 in the CNP rat models.

CONCLUSIONTGF-beta1 and Smad4 may be involved in the pathogenesis of CNP, and prostatic fibrosis may make the condition difficult to cure.

Animals ; Disease Models, Animal ; Male ; Prostate ; metabolism ; Prostatitis ; metabolism ; pathology ; Rats ; Rats, Sprague-Dawley ; Smad4 Protein ; metabolism ; Transforming Growth Factor beta1 ; metabolism

Compound reserpine and triamterene tablets (CRTT), a compound antihypertensive drug developed by Chinese scientists, is still widely used in clinical practice. However, the mechanisms by which CRTT treats hypertension remain to be fully understood. This study used network pharmacology to analyze CRTT's antihypertensive mechanisms with in vitro experiments. The targets of the four chemical components of CRTT were collected from the Swiss Target Prediction database; 1 828 protein targets related to hypertension were collected from the Therapeutic Target Database (TTD) and Online Mendelian Inheritance in Man (OMIM) database. The CRTT-hypertension network model was constructed using a search tool for recurring instances of neighbouring genes (STRING). Gene ontology (GO) and pathway enrichment analysis of targets of interest was conducted with the Metascape database. In the in vitro study, human umbilical vein endothelial cells (HUVEC) and vascular smooth muscle cells (VSMC) were treated with 1 μmol·L^-1 angiotensin Ⅱ (AngⅡ) and CRTT was administered at concentrations of 0.01, 0.1, and 1 μmol·L^-1. Changes in the phosphatidylinositol-3-kinase/protein serine threonine kinase/endothelial nitric oxide synthase (PI3K/Akt/eNOS) pathway in HUVEC and the cyclic guanosine monophosphate/cGMP-dependent protein kinase (cGMP/PKG) pathway in VSMC were determined by Western blot. Network pharmacological analysis revealed that the antihypertensive effect of CRTT is closely associated with biological pathways such as vascular tone regulation, adrenergic receptor activation, protein kinase activity and signaling pathways such as the cGMP/PKG signaling pathway, vascular smooth muscle contraction, neuroactive ligand-receptor interaction, adrenergic signaling in cardiomyocytes and calcium signaling pathways. The in vitro study confirmed that CRTT increased the levels of phosphorylated phosphatidylinositol-3-kinase (p-PI3K), phosphorylated protein serine threonine kinase (p-Akt), phosphorylated endothelial nitric oxide synthase (p-eNOS) in HUVEC and the levels of eNOS, phosphorylated vasodilator-stimulated phosphoprotein (p-VASP), and PKG in VSMC through multiple targets and pathways. These results suggest that the activation of PI3K/Akt/eNOS pathway and endothelial-dependent NO/cGMP signaling may be involved in the CRTT-mediated hypotensive effect.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome