Associations of ambient particulate matter and household fuel use with chronic liver disease in China: A nationwide analysis.

Background: Long-term effects of outdoor and indoor air pollution on chronic liver disease (CLD) remain unclear. Thus, the study was conducted to investigate the relationship between prolonged exposure to ambient particulate matter (PM, PM and PM) and household fuel usage with CLD.

Methods: Data from the China Health and Retirement Longitudinal Study (CHARLS) covering the years 2011 to 2020 were employed.

Mining of adverse event signals associated with inclisiran: a post-marketing analysis based on FAERS.

Background: This study analyzed adverse events (AEs) associated with inclisiran using the FDA's Adverse Event Reporting System (FAERS) to detect and characterize relevant safety signals.

Methods: We retrospectively extracted AE reports from the FAERS database spanning Q1 2022 to Q2 2024. Four disproportionality analysis algorithms were employed to identify AE signals for inclisiran, with subsequent comparisons made to PCSK9 monoclonal antibodies (alirocumab/evolocumab).

Association of life's essential 8 and asthma: mediating effect of inflammation and oxidative stress.

Background: The association of cardiovascular health (CVH) with asthma risk in U.S. adults remains unclear.

Mining of neurological adverse events associated with valbenazine: A post-marketing analysis based on FDA adverse event reporting system.

Purpose: Valbenazine is commonly used to treat tardive dyskinesia, and we conducted a pharmacovigilance analysis using the Food and Drug Administration Adverse Event Reporting System (FAERS) to evaluate neurological safety signals associated with valbenazine.

Methods: Data was collected in FAERS from the second quarter of 2017 to the fourth quarter of 2023 for data cleaning. Neurological adverse event (AE) signals of valbenazine were mined by calculating reporting odds ratios (ROR), information component (IC) and empirical Bayesian geometric mean (EBGM).

Causal effects of sleep traits on metabolic syndrome and its components: a Mendelian randomization study.

Purpose: Previous observational studies have suggested an association between sleep disturbance and metabolic syndrome (MetS). However, it remains unclear whether this association is causal. This study aims to investigate the causal effects of sleep-related traits on MetS using Mendelian randomization (MR).

Enhanced crystallization of solution-processed perovskite using urea as an additive for large-grain MAPbIperovskite solar cells.

Perovskite crystal quality plays an important role in perovskite solar cells, given that multiple grain boundaries and trap states in the perovskite films hamper further enhancement of solar cell efficiency. Using the solution method to prepare perovskite films with large grains and high coverage requires further improvements. Herein, we introduce Lewis base urea as an additive into the precursor of perovskite to control the crystallization dynamics, allowing for large-grain crystal growth.