Objective To establish whether Wnt-signaling pathway plays a role in mice β-cell function and/or survival in vitro. Methods Mice NIT-1 beta cells were cultured in media with glucose concentration of 33.3 mmol/L and the cytokines interleukin-1β, interferon-γand tumor necrosis factor-α with or without the addition of purified Wnt3a protein in vitro. Subsequently, β-cell apoptosis by Tunnel and flow cytometry, and β-cell proliferation by BrdU were analyzed. Total RNA was extracted to measure gene expressions by real-time PCR.Results Incubations of NIT-1 cells with high glucose and cytokines resulted in an increase in β-cell apoptosis and decrease in β-cell proliferation (P<0.01). In contrast, treatment with Wnt3a protein protected β-cell from glucose and cytokines-induced apoptosis through up-regulating the expressions of above Pitx2、 TCF7L2. Conclusions Wnt-signaling regulates the proliferation of pancreatic β-cell, and protectes β-cell from glucotoxicity and cytokine toxicity with respect to proliferation and apoptosis.

Objective To investigate the expression of peroxisome proliferator-activated rec eptor γ (PPARγ) and glucokinase (GK) induced by Wnt signaling pathway in mice NIT-1 β-cells,and to explore the interaction between PPARγ and Wnt signaling pathways.Methods Recombinant Wnt3a protein was applied to NIT-1 beta-cells to activate Wnt signaling pathway.The expression of PPARγ was determined by real-time PCR and Western blotting.The expression of GK was determined by real time PCR.Results Wnt3a rapidly activated Wnt/β-catenin/TCF signaling pathway,and increased PPARγ and GK mRNA expression by 41.2％ and 65.0％ in NIT-1cells,with PPARγ protein expression increasing by 97.8％ (P＜0.01).These effects were abrogated by Wnt and PIK3 inhibitors,dickkopf 1 and wortmannin treatment (P＜ 0.01).Conclusions PPARγ and GK can be upregulated by Wnt singnaling,and the effects might partially be PI3K-dependent.

OBJECTIVE:To review therapeutic efficacy of N-acetylcysteine (NAC) for idiopathic pulmonary fibrosis (IPF),and to provide evidence-based reference.METHODS:Retrieved from Central database,PubMed,EMBase,CBM,CJFD,Wanfang database and VIP,randomized controlled trials or semi-randomized controlled trials about NAC (unlimited single drug or combination) vs.placebo/blank control in the treatment of IPF were collected.Meta-analysis was performed by using Rev Man 5.3 statistical software after data extraction and quality evaluation with Cochrane collaboration's bias risk assessment tool(2014 edition).RESULTS:A total of 10 studies were included(2 RCT,8 qRCT),involving 742 patients.Results of Meta-analysis showed that compared to placebo/blank control,NAC couldn't reduce the mortality of IPF patients [OR=1.14,95％ CI(0.50,2.62),P=0.76],but could significantly improve subjective symptom remission rate[OR=3.17,95％ CI (1.98,5.07),P＜0.001] and dyspnea score [SMD =-2.54,95 ％ CI (-5.02,-0.06),P=0.04].CONCLUSIONS:For IPF,NAC can't decrease the mortality of patients,but can relieve main symptoms and dyspnea.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.