Gut microbial metabolites in MASLD: Implications of mitochondrial dysfunction in the pathogenesis and treatment.

With an increasing prevalence, metabolic dysfunction-associated steatotic liver disease (MASLD) has become a major global health problem. MASLD is well-known as a multifactorial disease. Mitochondrial dysfunction and alterations in the gut bacteria are 2 vital events in MASLD. Recent studies have highlighted the cross-talk between microbiota and mitochondria, and mitochondria are recognized as pivotal targets of the gut microbiota to modulate the host's physiological state. Mitochondrial dysfunction plays a vital role in MASLD and is associated with multiple pathological changes, including hepatocyte steatosis, oxidative stress, inflammation, and fibrosis. Metabolites are crucial mediators of the gut microbiota that influence extraintestinal organs. Additionally, regulation of the composition of gut bacteria may serve as a promising therapeutic strategy for MASLD. This study reviewed the potential roles of several common metabolites in MASLD, emphasizing their impact on mitochondrial function. Finally, we discuss the current treatments for MASLD, including probiotics, prebiotics, antibiotics, and fecal microbiota transplantation. These methods concentrate on restoring the gut microbiota to promote host health.

Long-term variations of air pollutants and public exposure in China during 2000-2020.

Since 2000, China has faced severe air pollution challenges，prompting the initiation of comprehensive emission control measures post-2013. The subsequent implementation of these measures has led to remarkable enhancements in air quality. This study aims to enhance our understanding of the long-term trends in fine particulate matter (PM2.5) and gaseous pollutants of ozone (O3) and nitrogen dioxide (NO2) across China from 2000 to 2020. Utilizing the Community Multiscale Air Quality (CMAQ) model, we conducted a nationwide analysis of air quality, systematically quantifying model predictions against observations for pollutants. The CMAQ model effectively captured the trends of air pollutants, meeting recommended performance benchmarks. The findings reveal variations in pollutant concentrations, with initial increases in PM2.5 followed by a decline after 2013. The proportion of the population living in high PM2.5 concentrations (>75 µg/m3) decreased to <5 % after 2015. However, during the period from 2017 to 2020, around 40 % of the population continued to live in regions that did not meet the criteria for Chinese air quality standards (35 µg/m3). From 2000 to 2019, fewer than 20 % of the population met the WHO standard (100 µg/m3) for MDA8 O3. In 2000, 77 % of the population met the NO2 standard (<20 µg/m3), a figure that declined to 60 % between 2005 and 2014, nearly reaching 70 % in 2020. This study offers a comprehensive analysis of the changes in pollutants and public exposure in 2000-2020. It serves as a foundational resource for future efforts in air pollution control and health research.

Estimating particulate matter concentrations and meteorological contributions in China during 2000-2020.

Estimating the effects of airborne particulate matter (PM) on climate and human health is highly dependent on the accurate prediction of its concentration and size distribution. High-complexity machine learning models have been widely used for PM concentration prediction, but such models are often considered as "black boxes", lacking interpretability. Here, a simple structure lightGBM model is built for ground PM estimation, and the SHAP approach is used to separate the meteorological contributions due to its strong influence on PM concentration. The models show good performance with correlation coefficient (R2) of 0.84-0.88, 0.80-0.85, and 0.71-0.79, for PM2.5, PM10, and PM2.5-10 (2.5-10 µm), respectively. The lightGBM model trains 45 times faster than the XGBoost model while showing similar accuracy. More importantly, the models have small performance gaps between training and predicting (delta R2: 0.07-0.12), effectively reducing overfitting risk. The PM datasets (10 km daily) of three size ranges are then generated over China from 2000 to 2020. The SHAP method shows good agreement with the meteorological normalization approach in separating the meteorological contributions (R2 > 0.5). In the Beijing-Tianjin-Hebei region (BTH), meteorology has greater influence on PM2.5-10 (-5.66%-9.99%) than PM2.5 and PM10. In the Yangtze River Delta (YRD), and the Pearl River Delta (PRD), albedo has a large contribution to PM2.5 concentration under the influence of solar radiation. Notably, relative humidity (RH) has different seasonal effects on PM of three size ranges. In the BTH region, RH has negative effects on PM2.5 (-0.52 µg/m3) and positive effects on PM10 (1.01 µg/m3) and PM2.5-10 (3.39 µg/m3) in spring, but has opposite effects in summer. The results of SHAP approach are consistent with existing conclusions and imply its feasibility in explaining haze formation. The generated PM datasets are useful in health assessment, environmental management, and climate change studies.

Secondary PM2.5 dominates aerosol pollution in the Yangtze River Delta region: Environmental and health effects of the Clean air Plan.

The Clean Air Plan has been active in China since 2013 to mitigate severe PM2.5 pollution. In this study, we applied the air quality model WRF-Chem to simulate PM2.5 in the Yangtze River Delta (YRD) region of China in 2017, with the aim of assessing the air quality improvement and its associated health burden in the final year of the Clean Air Plan. To better describe the fate of various PM2.5 compositions, we updated the chemical mechanisms in the model beforehand, including heterogeneous sulfate reactions, aqueous secondary organic aerosol (SOA) uptake, and volatility basis set (VBS) based SOA production. Both the observation and simulation results agreed that the stringent clear air action effectively reduced the PM2.5 pollution levels by âˆ¼ 30 %. The primary PM2.5 (-6 âˆ¼  - 16 % yr-1) showed a more significant decreasing trend than the secondary PM2.5 (-2 âˆ¼  - 8 % yr-1), which was mainly caused by the directivity of the clear air actions and the worsening ozone pollution in the recent years. The inconsistent decreasing trends of PM2.5 components subsequently led to an increasing proportion of secondary PM2.5. Nitrate particles, higher in the central and western YRD region, have replaced sulfate and have become the largest component of secondary inorganic aerosols year-round, except in summer, when strong ammonium nitrate evaporation occurs. In addition, SOA remains an important component (21 âˆ¼ 22 %) especially in summer, most of which is produced from the oxidation and ageing of semi/intermediate volatile organic compounds (S/IVOC). Furthermore, we quantified the associated health impacts and found that the Clean Air Plan has largely reduced premature mortality due to PM2.5 exposure in the YRD region from 399.1 thousand to 295.7 thousand. Our study highlights the benefits of the Clean Air Plan and suggests that subsequent PM2.5 improvement should be geared more towards controlling secondary pollutants.

A transition programme to enhance ICU new graduate nurses' professional identity and intention to remain employed: A pre- and postevaluation.

AIMS: To investigate the effect of a transition programme including cognitive-behaviour-based preceptorship intervention on ICU new graduate nurses' (NGNs)' professional identity and their intention to remain employed. DESIGN: One-arm pre- and post-test design followed the TREND Statement. METHODS: NGNs' professional identity and intention to remain employed were measured at baseline (T1), postintervention (1 month, T2) and 6-month follow-up (T3). RESULTS: Fifty-three NGNs completed the programme, and their professional identity score significantly increased postintervention [from 111.5 (SD = 16.72) at T1 to 114.2 (SD = 9.12) at T2, p < 0.05], but decreased at T3 [105.8 (SD = 9.44) compared with T1 and T2, p < 0.05]. There was no significant difference in ICU NGNs' intention of remain employed outcomes at three time points (p > 0.05). The transition programme was effective to improve ICU NGNs' professional identity immediately after the intervention, but the increment did not maintain at the 6-month follow-up.

Efficacy and Safety of a Low-Flow Extracorporeal Carbon Dioxide Removal System in Acute Respiratory Failure, a Pilot Study in China.

BACKGROUND: Low-flow extracorporeal carbon dioxide removal (LF-ECCO2R) has the potential to play an important role in the management of adults with acute respiratory failure. However, it has never been tested in China. The study aimed at exploring the safety and efficacy on LF-ECCO2R for acute respiratory failure in a Chinese tertiary intensive care unit (ICU). MATERIALS AND METHODS: We performed a retrospective case note review of patients admitted to our tertiary regional ICU and commenced on LF-ECCO2R from June 2020 to September 2021. The LF-ECCO2R device we used was ProLUNG® system (Estor S.p.A., Milan, Italy). The device employed a nonporous poly-4-methyl-1-pentene membrane lung with a surface area of 1.81 m2 and run at an extracorporeal blood flow between 100 and 450 mL/min. Demographic and physiologic data (including ventilation parameters and arterial blood gases) as well as the outcome of LF-ECCO2R treatment were recorded. RESULTS: A total of 12 cases were included. A statistically significant reduction in respiratory rate, driving pressure, PaCO2, and blood lactate was observed. In addition, there was a statistically significant improvement in pH and PaO2/FiO2. Six out of 12 patients (50%) were discharged alive from ICU. Three complications related to LF-ECCO2R were reported, none resulting in serious adverse outcomes. CONCLUSION: Our clinical series indicated that LF-ECCO2R seemed to be safely applied in patients with acute respiratory failure. The efficacy of CO2 removal as well as the improved respiratory parameters was also observed. However, large-scale randomized clinical trials are needed to confirm the effects.

Development and validation of the regarding infection prevention and control among environmental service workers on knowledge, attitudes, practise, and experience questionnaire.

Purpose: This study aimed to develop and test the validity and reliability of the Knowledge, Attitudes, Practise, and Experience regarding Infection Prevention and Control-associated Questionnaire for environmental service workers. Design: This study was a development and validation study of a questionnaire using multiple methods, including literature review, questionnaire survey, and Delphi technique. Methods: Phase I of the study entailed the development of items through an extensive literature review and two round Delphi process with 15 experts specialised in infection prevention and control, environmental service worker management, or scale construction to examine the content validity of the questionnaire. Phase II involved administering the questionnaire to a convenience sample of 1,176 environmental service workers from the public hospital from 13 provinces in China to evaluate its construct validity and reliability. Findings: In the two rounds of Delphi consultation, the recovery rate were 93.75 and 100%. Moreover, the expert authority coefficient was 0.93, and the coordination coefficients of expert opinions in the first round were as follows: correlation of 0.204 and importance of 0.249 for the first-level index; correlation of 0.128 and importance of 0.142 for the secondary index. In round two, the coordination coefficients of expert opinions were as follows: correlation of 0.221 and importance of 0.221 for the first-level indicators; correlation of 0.096 and importance of 0.101 for the secondary index. The results for the index were P < 0.05 for the two rounds. The pilot survey shows the instrument was excellent content validity (S-CVI/Ave = 0.989). The overall internal consistency was excellent (Cronbach's α = 0.967). The questionnaire ultimately comprised four first-level indices (knowledge, attitudes, practise, and experience) and 49 second-level indices. Conclusion: The Questionnaire demonstrated good reliability and validity and is effective in measuring levels of infection prevention and control-related knowledge, attitudes, practise, and experience among environmental service workers. It will provide a tool for future national investigations of the current infection prevention and control situation among environmental service workers. Future research should explore determinants of environmental service workers' knowledge, attitudes, practise, and experience and associations between infection prevention and control knowledge, attitudes, practises, and experience.

BAP1 maintains chromosome stability by stabilizing DIDO1 in renal cell carcinoma.

BRCA1-associated protein 1 (BAP1) is a member of the ubiquitin C-terminal hydrolase family of deubiquitinating enzymes and is implicated in transcriptional regulation. The BAP1 gene is mutated in 5%-15% of patients with clear cell renal cell carcinoma (ccRCC), the most common form of renal cancer, which suggests that BAP1 is a tumor suppressor. However, whether BAP1 influences the progression of ccRCC tumors expressing wildtype (WT) BAP1 is unclear. Here, we identified DIDO1 as a bona fide substrate for BAP1. DIDO1 is a component of the centrosome proteins and plays an essential role in spindle assembly. BAP1 binds to DIDO1 and stabilizes DIDO1 through de-ubiquitination. BAP1 contributes to chromosome stability partially via DIDO1. A positive correlation was identified between BAP1 and DIDO1 expression in ccRCC tissues. Downregulation of both BAP1-loss and DIDO1 protein expression in ccRCC was associated with adverse clinicopathological features. This study revealed a novel mechanism involving BAP1 in the regulation of DIDO1 stability, and the results also provide insight into the relationship between BAP1 mutations and chromosome instability in ccRCC.