Objective To investigate the effects of chronic hepatitis B virus (HBV) infection on human hepatic cytochrome P450 2C9 (CYP2C9).Methods Liver tissue samples and blood samples were obtained from 10 patients with chronic HBV infeetion and 10 healthy controls.CYP2C9 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.The activity of CYP2C9 was detected utilizing high performance liquid chromatography (HPLC).The expressions of CYP2C9 mRNA and protein were determined by reverse transcriptase-polymerase chain reaction (RT-PCR) and Western-blotting.The data were analyzed by t test.Results All the liver samples showed CYP2C9 wild-type (*1*1),while CYP2C9 (*2) and CYP2C9 (*3) were not detected.The maximum velocity (Vmax) of CYP2C9 in patients chronic HBV infection and healthy controls were (263.5±66.4) μmol/L and(284.6±85.9) μmol/L,respectively (t=0.614,P=0.5471).The expression of CYP2C9 mRNA in patients with chronic HBV infection (0.39±0.28) was significantly lower than that of healthy controls (0.65±0.13) (t=2.628,P=0.0171).Accordingly,the protein expression in patients with chronic HBV infection (0.26±0.13) was lower than that of healthy controls (0.60±0.19) (t=4.688,P=0.000 2).Conclusion The expressions of CYP2C9 mRNA and protein are decreased in chronic HBV infection which may down-regulate the enzyme activity.

Chronic high-salt diet-associated renal injury is a key risk factor for the development of hypertension. However, the mechanism by which salt triggers kidney damage is poorly understood. Our study investigated how high salt (HS) intake triggers early renal injury by considering the ‘gut-kidney axis’. We fed mice 2% NaCl in drinking water continuously for 8 weeks to induce early renal injury. We found that the ‘quantitative’ and ‘qualitative’ levels of the intestinal microflora were significantly altered after chronic HS feeding, which indicated the occurrence of enteric dysbiosis. In addition, intestinal immunological gene expression was impaired in mice with HS intake. Gut permeability elevation and enteric bacterial translocation into the kidney were detected after chronic HS feeding. Gut bacteria depletion by non-absorbable antibiotic administration restored HS loading-induced gut leakiness, renal injury and systolic blood pressure elevation. The fecal microbiota from mice fed chronic HS could independently cause gut leakiness and renal injury. Our current work provides a novel insight into the mechanism of HS-induced renal injury by investigating the role of the intestine with enteric bacteria and gut permeability and clearly illustrates that chronic HS loading elicited renal injury and dysfunction that was dependent on the intestine.
Animals ; Bacteria ; Bacterial Translocation ; Blood Pressure ; Drinking Water ; Dysbiosis ; Enterobacteriaceae ; Gastrointestinal Microbiome ; Gene Expression ; Hypertension ; Intestines ; Kidney ; Mice* ; Microbiota ; Permeability ; Risk Factors

Background An association between atmospheric fine particulate matter (PM_2.5) exposure and Parkinson's disease (PD) has been suggested by previous studies, but the results of current epidemiological studies are still inconclusive. Objective To systematically evaluate the relationship between exposure to ambient PM_2.5 and the risk of PD, as well as to explore potential influencing factors, aiming to provide scientific evidence for formulating early prevention strategies for PD. Methods Cochrane Library, PubMed, Web of Science, Medline, Embase, China National Know-ledge Infrastructure (CNKI), Wanfang Database, and VIP Chinese Science and Technology Journal Database were queried. The search terms included Parkinson's disease, particulate matter 2.5, and PM_2.5 in both Chinese and English. Cohort studies examining the association between atmospheric PM_2.5 exposure and the risk of PD were collected and searched from the inception of each database to June 26, 2023. The identified literature was screened, and the basic information of the included studies and their research subjects, outcome indicators, quantitative results of each study, as well as the information required by bias risk assessment were extracted. The Newcastle-Ottawa Scale was employed to assess the risk of literature bias. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were conducted in Stata 15.0 software. Results Twelve cohort studies were identified. A total of 17443136 participants with follow-up periods ranging from 3.5 to 22 years were included in the analysis. The meta-analysis, utilizing a random-effects model, revealed that PD risk was elevated by 6% after exposure to PM_2.5 [HR=1.06 (95%CI: 1.02, 1.11), P=0.006]. The subgroup analysis demonstrated that exposure to PM_2.5 increased PD risk by 6% in North America [HR=1.06 (95%CI: 1.00, 1.12), P=0.033] and by 17% in East Asia [HR=1.17 (95%CI: 1.02, 1.33), P=0.020]. However, the effect was not statistically significant in Europe. PD risk exhibited a 7% rise [HR=1.07 (95%CI: 1.02, 1.14), P=0.011] in individuals aged 60 years and older, which was different from that in individuals younger than 60 years. Exposure to various concentrations of PM_2.5 was observed to associate with an elevated risk of PD. The inclusion of adjustments for PD-related comorbidities did not alter the conclusion that ambient PM_2.5 exposure might elevate the risk of PD. The studies with a follow-up duration exceeding 5 years and reporting more than 1000 PD cases suggested a significant increase in the risk of PD due to ambient PM_2.5 exposure [HR=1.06 (95%CI: 1.01, 1.12), P=0.012; HR=1.06 (95%CI: 1.01, 1.11), P=0.027, respectively]. Conversely, no significant association was identified between ambient PM_2.5 exposure and the risk of PD within the cohorts with a follow-up duration of less than 5 years and reporting fewer than 1000 PD cases [HR=1.09 (95%CI: 0.95, 1.26), P=0.214; HR=1.12 (95%CI: 0.98, 1.02), P=0.092, respectively]. The sensitivity analysis showed that the results were stable. The publication bias analysis and the combined trim-and-fill method showed that the results were robust. Conclusion The risk of PD could be increased by ambient PM_2.5 exposure and influenced by age and area. The research results might be affected by the duration of follow-up and the quantity of PD cases reported.