Associations between oxidative balance score and chronic kidney disease events in US adults: a population-based study.

Oxidative Balance Scores (OBS) are utilized to assess an individual's antioxidant status, encompassing both dietary and lifestyle factors that contribute to oxidative balance. This study investigates the relationship between OBS and chronic kidney disease (CKD) prevalence among U.S. adults, utilizing data from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. The study involved a cross-sectional analysis of 13,373 individuals from NHANES, focusing on adults aged 20 years or older. OBS was calculated using 20 components, including dietary and lifestyle factors. CKD was identified based on albumin-to-creatinine ratio and estimated glomerular filtration rate, with patients stratified into mild, moderate, and high-risk groups. Statistical analysis included logistic regression models and restricted cubic splines to explore the OBS-CKD relationship. Our findings indicate a statistically significant negative correlation between OBS and CKD prevalence, particularly in mild and moderate-risk groups. Higher OBS quartiles were associated with a decreased likelihood of CKD (OR 0.70; 95% CI 0.53-0.92; P = 0.013). Restricted cubic splines indicated a non-linear, inverse association between OBS and CKD odds for the overall population (P for nonlinearity = 0.017). For mild and moderate CKD risk groups, the relationships were less pronounced (P for nonlinearity = 0.053 and 0.184, respectively), suggesting variability in the OBS-CKD link across different risk levels. The study highlights the potential of elevated OBS as a primary prevention measure for CKD, particularly in individuals with mild to moderate risk. These findings underscore the importance of antioxidant status in CKD risk management and encourage further research into the role of dietary and lifestyle factors in CKD prevention.

Control of chlorination disinfection by-products in drinking water by combined nanofiltration process: A case study with trihalomethanes and haloacetic acids.

Disinfection by-products (DBPs) are prevalent contaminants in drinking water and are primarily linked to issues regarding water quality. These contaminants have been associated with various adverse health effects. Among different treatment processes, nanofiltration (NF) has demonstrated superior performance in effectively reducing the levels of DBPs compared to conventional processes and ozone-biological activated carbon (O3-BAC) processes. In this experiment, we systematically investigated the performance of three advanced membrane filtration treatment schemes, namely "sand filter + nanofiltration" (SF + NF), "sand filter + ozone-biological activated carbon + nanofiltration" (SF + O3-BAC + NF), and "ultrafiltration + nanofiltration" (UF + NF), in terms of their ability to control disinfection by-product (DBP) formation in treated water, analyzed the source and fate of DBP precursors during chlorination, and elucidated the role of precursor molecular weight distribution during membrane filtration in relation to DBP formation potential (DBPFP). The results indicated that each treatment process reduced DBPFP, as measured by trihalomethane formation potential (THMFP) and haloacetic acid formation potential (HAAFP), with the SF + O3-BAC + NF process being the most effective (14.27 µg/L and 14.88 µg/L), followed by the SF + NF process (21.04 µg/L and 16.29 µg/L) and the UF + NF process (26.26 µg/L and 21.75 µg/L). Tyrosine, tryptophan, and soluble microbial products were identified as the major DBP precursors during chlorination, with their fluorescence intensity decreasing gradually as water treatment progressed. Additionally, while large molecular weight organics (60-100,000 KDa) played a minor role in DBPFP, small molecular weight organics (0.2-5 KDa) were highlighted as key contributors to DBPFP, and medium molecular weight organics (5-60 KDa) could adhere to the membrane surface and reduce DBPFP. Based on these findings, the combined NF process can be reasonably selected for controlling DBP formation, with potential long-term benefits for human health.

Neuroprotective effect of aloe emodin against Huntington's disease-like symptoms in R6/1 transgenic mice.

Aloe emodin is a natural anthraquinone derived from aloe or rhubarb, showing anti-renal fibrosis, anti-atherosclerosis and anti-cancer effects. Aloe emodin also shows neuroprotective effects in ischemic stroke rats. Naturally, anthraquinone derivatives generally have the effect of inhibiting the transforming growth factor-ß1 (TGF-ß1) pathway. There is an increase in the calcium/calmodulin-dependent protein kinase II (CaMKII) and TGF-ß1 levels in both Huntington's disease (HD) patients' brains and HD transgenic mice. Thus, we hypothesized that aloe emodin may inhibit the phosphorylation of CaMKII (p-CaMKII) and TGF-ß1/sma- and mad-related protein (Smad) signaling in the brain, further preventing motor and cognitive dysfunction. Aloe emodin was orally administered to 10- to 20-week-old HD R6/1 transgenic mice. Aloe emodin improved the motor coordination of R6/1 transgenic mice in the rotarod test and attenuated visual recognition impairment in the novel object recognition test. Aloe emodin downregulated levels of the mutant huntingtin protein, p-CaMKII and TGF-ß1, but not the TGF-ß2 or TGF-ß3 levels, in the brains of R6/1 mice. Aloe emodin could also inhibit neuronal apoptosis in the hippocampus of R6/1 mice. Altogether, these results indicated that aloe emodin prevents several HD-like symptoms through the inhibition of CaMKII/Smad and TGF-ß1/Smad signaling in mice.

E2F6/KDM5C promotes SF3A3 expression and bladder cancer progression through a specific hypomethylated DNA promoter.

BACKGROUND: Abnormal expression of splicing factor 3A subunit 3 (SF3A3), a component of the spliceosome, has been confirmed to be related to the occurrence and development of various cancers. However, the expression and function of SF3A3 in bladder cancer (BC) remains unclear. METHODS: The SF3A3 mRNA and protein level were measured in clinical samples and cell lines by quantitative real-time PCR, Western blot and immunofluorescence staining. Evaluate the clinical correlation between SF3A3 expression and clinicopathological characteristics through statistical analysis in BC patients. The function of SF3A3 in BC cells was determined in vitro using MTT and colony analysis. Co-immunoprecipitation (CoIP) assay was used to detected E2F6 and KDM5C interaction. Luciferase reporter and chromatin immunoprecipitation (ChIP) were used to examine the relationship between E2F6/KDM5C and SF3A3 expression. RESULTS: In the present study, we demonstrated that expression of SF3A3 was elevated in BC tissue compared to the normal bladder tissue. Importantly, the upregulation of SF3A3 in patients was correlated with poor prognosis. Additionally, overexpression of SF3A3 promoted while depletion of SF3A3 reduced the growth of BC cells in vivo and in vitro. Data from the TCGA database and clinical samples revealed that hypomethylation of the DNA promoter leads to high expression of SF3A3 in BC tissue. We found that upregulation of lysine-specific demethylase 5C (KDM5C) promotes SF3A3 expression via hypomethylation of the DNA promoter. The transcription factor E2F6 interacts with KDM5C, recruits KDM5C to the SF3A3 promoter, and demethylates the GpC island of H3K4me2, leading to high SF3A3 expression and BC progression. CONCLUSIONS: The results demonstrated that depletion of the KDM5C/SF3A3 prevents the growth of BC in vivo and in vitro. The E2F6/KDM5C/SF3A3 pathway may be a potential therapeutic target for BC treatment.

RBM24 exacerbates bladder cancer progression by forming a Runx1t1/TCF4/miR-625-5p feedback loop.

RNA-binding motif protein 24 (RBM24) acts as a multifunctional determinant of cell fate, proliferation, apoptosis, and differentiation during development by regulating premRNA splicing and mRNA stability. It is also implicated in carcinogenesis, but the functions of RBM24 in bladder cancer (BC) remain unclear. In the present study, we revealed that RBM24 was upregulated in BC tissues. Importantly, we found that a higher level of RBM24 was correlated with poor prognosis in BC patients. Overexpression of RBM24 promoted BC cell proliferation, while depletion of RBM24 inhibited BC cell proliferation in vivo and in vitro. Mechanistically, RBM24 positively regulated Runx1t1 expression in BC cells by binding to and enhancing Runx1t1 mRNA stability. Furthermore, Runx1t1 in turn promoted RBM24 expression by interacting with the transcription factor TCF4 and suppressing the transcription of miR-625-5p, which directly targets RBM24 and suppresses RBM24 expression. RBM24-regulated BC cell proliferation was moderated via the Runx1t1/TCF4/miR-625-5p feedback loop. These results indicate that the RBM24/Runx1t1/TCF4/miR-625-5p positive feedback loop participates in BC progression. Disruption of this pathway may be a potential therapeutic strategy for BC treatment.

Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China.

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.