Yue Zhang, Liang Li, Zi Kang Sheng, Ya Fei Rao, Xiang Zhu, Yu Pang, Meng Qiu Gao, Xiao Yan Gai, Yong Chang Sun
{"title":"Increased Tertiary Lymphoid Structures are Associated with Exaggerated Lung Tissue Damage in Smokers with Pulmonary Tuberculosis.","authors":"Yue Zhang, Liang Li, Zi Kang Sheng, Ya Fei Rao, Xiang Zhu, Yu Pang, Meng Qiu Gao, Xiao Yan Gai, Yong Chang Sun","doi":"10.3967/bes2025.020","DOIUrl":"10.3967/bes2025.020","url":null,"abstract":"<p><strong>Objective: </strong>Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB.</p><p><strong>Methods: </strong>Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers.</p><p><strong>Results: </strong>Smoker patients with TB had significantly higher TLS than non-smokers ( <i>P</i> < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: <i>r</i> = 0.5767; peribronchial: <i>r</i> = 0.7373; both <i>P</i> < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"810-818"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heng Liang Lyu, Xi Hao Liu, Hui Chen, Xue Li Zhang, Feng Liu, Zi Tong Zheng, Hong Wei Zhang, Yuan Yong Xu, Wen Yi Zhang
{"title":"Spatial-temporal Dynamics of Tuberculosis and Its Association with Meteorological Factors and Air Pollution in Shaanxi Province, China.","authors":"Heng Liang Lyu, Xi Hao Liu, Hui Chen, Xue Li Zhang, Feng Liu, Zi Tong Zheng, Hong Wei Zhang, Yuan Yong Xu, Wen Yi Zhang","doi":"10.3967/bes2025.083","DOIUrl":"10.3967/bes2025.083","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"867-872"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Zhong Wu, Xing Li, Jia Wen Wang, Rong Hua Jian, Jian Xiong Hu, Yi Jun Hu, Yi Ting Xu, Jianpeng Xiao, Ai Qiong Jin, Liang Chen
{"title":"Spatio-Temporal Pattern and Socio-economic Influencing Factors of Tuberculosis Incidence in Guangdong Province: A Bayesian Spatiotemporal Analysis.","authors":"Hui Zhong Wu, Xing Li, Jia Wen Wang, Rong Hua Jian, Jian Xiong Hu, Yi Jun Hu, Yi Ting Xu, Jianpeng Xiao, Ai Qiong Jin, Liang Chen","doi":"10.3967/bes2025.071","DOIUrl":"10.3967/bes2025.071","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the spatiotemporal patterns and socioeconomic factors influencing the incidence of tuberculosis (TB) in the Guangdong Province between 2010 and 2019.</p><p><strong>Method: </strong>Spatial and temporal variations in TB incidence were mapped using heat maps and hierarchical clustering. Socioenvironmental influencing factors were evaluated using a Bayesian spatiotemporal conditional autoregressive (ST-CAR) model.</p><p><strong>Results: </strong>Annual incidence of TB in Guangdong decreased from 91.85/100,000 in 2010 to 53.06/100,000 in 2019. Spatial hotspots were found in northeastern Guangdong, particularly in Heyuan, Shanwei, and Shantou, while Shenzhen, Dongguan, and Foshan had the lowest rates in the Pearl River Delta. The ST-CAR model showed that the TB risk was lower with higher per capita Gross Domestic Product (GDP) [Relative Risk ( <i>RR</i>), 0.91; 95% Confidence Interval ( <i>CI</i>): 0.86-0.98], more the ratio of licensed physicians and physician ( <i>RR</i>, 0.94; 95% <i>CI</i>: 0.90-0.98), and higher per capita public expenditure ( <i>RR</i>, 0.94; 95% <i>CI</i>: 0.90-0.97), with a marginal effect of population density ( <i>RR</i>, 0.86; 95% <i>CI</i>: 0.86-1.00).</p><p><strong>Conclusion: </strong>The incidence of TB in Guangdong varies spatially and temporally. Areas with poor economic conditions and insufficient healthcare resources are at an increased risk of TB infection. Strategies focusing on equitable health resource distribution and economic development are the key to TB control.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"819-828"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Kai Zhang, Bing Ling Wang, Lu Pan, Nan Ge, Jing Ya Yin, Yuan Fang, Hua Zhang, Jian Jun Zhang, Xiu Tao Cao, Yan Ma, Li Cheng, Hai Ping Duan
{"title":"Seasonal Effects of Air Pollutants on Stroke Deaths in Qingdao from 2014 to 2019.","authors":"Jing Kai Zhang, Bing Ling Wang, Lu Pan, Nan Ge, Jing Ya Yin, Yuan Fang, Hua Zhang, Jian Jun Zhang, Xiu Tao Cao, Yan Ma, Li Cheng, Hai Ping Duan","doi":"10.3967/bes2025.073","DOIUrl":"10.3967/bes2025.073","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"885-890"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen Deng, Zi Yu Zhang, Xin Xin Li, Ya Qin Zhang, Wei Hua Cao, Shi Yu Wang, Xin Wei, Zi Xuan Gao, Shuo Jie Wang, Lin Mei Yao, Lu Zhang, Hong Xiao Hao, Xiao Xue Chen, Yuan Jiao Gao, Wei Yi, Yao Xie, Ming Hui Li
{"title":"A Retrospective Study of Pregnancy and Fetal Outcomes in Mothers with Hepatitis C Viremia.","authors":"Wen Deng, Zi Yu Zhang, Xin Xin Li, Ya Qin Zhang, Wei Hua Cao, Shi Yu Wang, Xin Wei, Zi Xuan Gao, Shuo Jie Wang, Lin Mei Yao, Lu Zhang, Hong Xiao Hao, Xiao Xue Chen, Yuan Jiao Gao, Wei Yi, Yao Xie, Ming Hui Li","doi":"10.3967/bes2025.079","DOIUrl":"10.3967/bes2025.079","url":null,"abstract":"<p><strong>Objective: </strong>To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development.</p><p><strong>Methods: </strong>A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected.</p><p><strong>Results: </strong>Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( <i>P</i> < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( <i>P</i> < 0.05). No significant differences were found in neonatal malformation rates across groups ( <i>P</i> > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( <i>χ</i> <sup>2</sup> = 33.552, <i>P</i> < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( <i>OR</i> = 2.111, 95% <i>CI</i> 1.242-3.588, <i>P</i> = 0.006).</p><p><strong>Conclusions: </strong>Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"829-839"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Ye, Jing Chen, Ya Ting Ji, Xiao Yu Lu, Jia le Deng, Nan Li, Wei Wei, Ren Jie Hou, Zhi Yuan Li, Jian Bang Xiang, Xu Gao, Xin Shen, Chong Guang Yang
{"title":"Independent and Interactive Effects of Air Pollutants, Meteorological Factors, and Green Space on Tuberculosis Incidence in Shanghai.","authors":"Qi Ye, Jing Chen, Ya Ting Ji, Xiao Yu Lu, Jia le Deng, Nan Li, Wei Wei, Ren Jie Hou, Zhi Yuan Li, Jian Bang Xiang, Xu Gao, Xin Shen, Chong Guang Yang","doi":"10.3967/bes2025.041","DOIUrl":"10.3967/bes2025.041","url":null,"abstract":"<p><strong>Objective: </strong>To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases.</p><p><strong>Methods: </strong>TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases.</p><p><strong>Results: </strong>Increased TB risk was linked to PM <sub>2.5</sub>, PM <sub>10</sub>, and rainfall, whereas NO <sub>2</sub>, SO <sub>2</sub>, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM <sub>2.5</sub> ( <i>RR</i> = 1.166, 95% <i>CI</i>: 1.026-1.325) at 0-19 weeks; PM <sub>10</sub> ( <i>RR</i> = 1.167, 95% <i>CI</i>: 1.028-1.324) at 0-18 weeks; NO <sub>2</sub> ( <i>RR</i> = 0.968, 95% <i>CI</i>: 0.938-0.999) at 0-1 weeks; SO <sub>2</sub> ( <i>RR</i> = 0.945, 95% <i>CI</i>: 0.894-0.999) at 0-2 weeks; air pressure ( <i>RR</i> = 0.604, 95% <i>CI</i>: 0.447-0.816) at 0-8 weeks; and rainfall ( <i>RR</i> = 1.404, 95% <i>CI</i>: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM <sub>2.5</sub> on TB.</p><p><strong>Conclusion: </strong>Exposure to PM <sub>2.5</sub>, PM <sub>10</sub>, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 7","pages":"792-809"},"PeriodicalIF":4.1,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan Guo, Han Lin Nie, Hao Chen, Stephen Nicholas, Elizabeth Maitland, Si Si Chen, Lie Yu Huang, Xiu Min Zhang, Xue Feng Shi
{"title":"Job Preferences of Centers for Disease Control and Prevention Workers: A Discrete Choice Experiment in China.","authors":"Yan Guo, Han Lin Nie, Hao Chen, Stephen Nicholas, Elizabeth Maitland, Si Si Chen, Lie Yu Huang, Xiu Min Zhang, Xue Feng Shi","doi":"10.3967/bes2025.070","DOIUrl":"https://doi.org/10.3967/bes2025.070","url":null,"abstract":"<p><strong>Objective: </strong>This study explored the job choice preferences of Center for Disease Prevention and Control (CDC) workers to provide CDC management information and recommendations for optimizing employee retention and motivation policies.</p><p><strong>Methods: </strong>A discrete choice experiment was conducted in nine provinces across China. Seven key attributes were identified to analyze the job preferences of CDC workers. Mixed logit models, latent class models, and policy simulation tools were used.</p><p><strong>Results: </strong>A valid sample of 5,944 cases was included in the analysis. All seven attributes significantly influenced the job choices of CDC workers. Heterogeneity analyses identified two main groups based on different levels of preference for attribute utility. <i>Income-prioritizers</i> were concerned with income and opportunities for career development, whereas <i>bianzhi-prioritizers</i> were concerned with <i>bianzhi</i> and welfare benefits. The policy simulation analysis revealed that <i>income-prioritizers</i> had a relatively higher sensitivity to multiple job preference incentives.</p><p><strong>Conclusion: </strong>Income and <i>bianzhi</i> were the two key attributes influencing the job choices and retention preferences of CDC workers. Heterogeneity in job preferences was also identified. Based on the preference characteristics of different subgroups, policy content should be skewed to differentiate the importance of incentives.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 6","pages":"740-750"},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiao Juan Liu, Zhen Peng Zhu, Chen Yang Hou, Hui Ma, Xiao Yan Li, Chun Xing Ma, Li Sha Shu, Hui Ying Zhang
{"title":"Single-Cell and Multi-Dimensional Data Analysis of the Key Role of IDH2 in Cervical Squamous Cell Carcinoma Progression.","authors":"Xiao Juan Liu, Zhen Peng Zhu, Chen Yang Hou, Hui Ma, Xiao Yan Li, Chun Xing Ma, Li Sha Shu, Hui Ying Zhang","doi":"10.3967/bes2025.067","DOIUrl":"https://doi.org/10.3967/bes2025.067","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"38 6","pages":"773-778"},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144568227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}