Biomedical and environmental sciences : BES最新文献

{"title":"Enhanced Efficiency of the LLC-MK2 Cell Line with Stable Expression of TMPRSS2 in Isolating Human Parainfluenza Virus 3 from Respiratory Specimens.","authors":"Feng Jie Wang, Yu Tong Zhou, Ri De, Run An Zhu, Yu Sun, Dong Mei Chen, Li Ping Jia, Qi Guo, Yao Yao, Zhen Zhu, Nai Ying Mao, Lin Qing Zhao","doi":"10.3967/bes2026.032","DOIUrl":"https://doi.org/10.3967/bes2026.032","url":null,"abstract":"<p><strong>Objective: </strong>LLC-MK2/TMPRSS2 cells constitutively express TMPRSS2, eliminating the requirement for additional trypsin during HPIV3 culture. The efficiency of LLC-MK2/TMPRSS2 for isolating HPIV3 from respiratory specimens was evaluated in comparison with Madin-Darby Canine Kidney (MDCK).</p><p><strong>Methods: </strong>HPIV3-positive respiratory specimens from children with acute respiratory infections (February-June 2025) were inoculated into LLC-MK2/TMPRSS2 and MDCK. The cytopathic effect (CPE) was monitored microscopically, and the proportion of positive cells was evaluated using direct immunofluorescence assay (DFA). Viral infection dynamics were assessed using the cycle threshold (Ct) values obtained by qPCR.</p><p><strong>Results: </strong>Among 50 specimens, 35 strains (35/50, 70%) were successfully isolated using LLC-MK2/TMPRSS2, while 14 strains were isolated using MDCK (14/50, 28%). More pronounced CPE and a higher number of virus-infected positive cells were shown in LLC-MK2/TMPRSS2 compared to that in MDCK ( <i>P</i> < 0.001 and <i>P =</i> 0.001, respectively). Among specimens with an initial Ct < 27, the isolation rate of LLC-MK2/TMPRSS2 was higher and the Ct values were lower (< 27) (82.6%, 19/23). Among specimens with an initial Ct of 23 ≤ Ct < 27, the number of specimens with a supernatant Ct ≥ 27 (63.6%, 7/11) was significantly less than that in MDCK ( <i>P</i> = 0.003).</p><p><strong>Conclusion: </strong>LLC-MK2/TMPRSS2 exhibits superior adaptability and replication efficiency in the isolation of HPIV3 from respiratory specimens.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"989-996"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148882967","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}

{"title":"Evaluating the Serum Free-to-protein-bound Iodine Ratio against Urinary Iodine for the Assessment of Maternal Iodine Status and Thyroid Nodules.","authors":"Zi Jian Jin, Mei Na Ji, Qi Meng, Qi Jin, He Xi Zhang, Fei Li, Peng Xin Li, Yan Tong Liu, Duan Li, Yi Dan Wei, Wen Xing Guo, Wan Qi Zhang","doi":"10.3967/bes2026.079","DOIUrl":"https://doi.org/10.3967/bes2026.079","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"1009-1012"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883029","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}

{"title":"Neonatal Hair Metabolic Signatures of Selective Fetal Growth Restriction in DCDA Twins are Linked to Adverse Neurobehavioral Outcomes at Infancy and Early Childhood.","authors":"You Zhen Zhang, Tian He, Xiao Yu Liu, Xi Ya Sun, Yang Yang, Richard Saffery, Jeffrey M Craig, Na Na Huang, Jin Fang Yuan, Jing Yu Liu, Wen Jun Zhou, Yi Xin Li, Yang Yu Zhao, Ting Li Han, Jing Yang","doi":"10.3967/bes2026.075","DOIUrl":"10.3967/bes2026.075","url":null,"abstract":"<p><strong>Objective: </strong>Selective fetal growth restriction (sFGR) in dichorionic-diamniotic (DCDA) twins is associated with the risk of adverse neurodevelopment; however, the underlying metabolic dysregulation remains poorly characterized. We aimed to characterize the neonatal hair metabolome associated with sFGR in DCDA twins and assess its predictive value for long-term neurodevelopment.</p><p><strong>Methods: </strong>Forty-two pairs of DCDA twins were stratified into the sFGR-DCDA (twins with birth weight [BW] discordance) and DCDA-C (twins with BW concordance) groups. Neonatal hair metabolites were profiled using gas chromatography-mass spectrometry (GC-MS). Pathway analysis and machine learning were used to identify metabolic signatures predictive of neurodevelopment, which were assessed using the Ages and Stages Questionnaire (Third Edition) at 2-3 and 5-6 years of age.</p><p><strong>Results: </strong>The smaller neonates in the sFGR-DCDA group (DCDA-S) showed significant downregulation of cysteine, methionine, glutathione, aminoacyl-tRNA, and nicotinate and nicotinamide metabolism in comparison with the neonates in the DCDA-C group. Reduced glutathione and aminoacyl-tRNA pathway activity correlated with lower problem-solving scores. An exploratory machine learning model incorporating pantothenate and coenzyme A biosynthesis, cysteine and methionine metabolism, and nicotinate and nicotinamide metabolism showed a preliminary discriminatory capacity for low personal-social scores in DCDA-S children at 2-3 years of age.</p><p><strong>Conclusion: </strong>Neonatal hair metabolomics in DCDA-S children reflect intrauterine disturbances in antioxidant and protein synthesis pathways associated with later neurodevelopmental outcomes, providing a non-invasive window into metabolic programming in sFGR.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"937-952"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883056","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}

{"title":"Report on Cardiovascular Health and Diseases in China 2025: An Updated Summary.","authors":"","doi":"10.3967/bes2026.073","DOIUrl":"https://doi.org/10.3967/bes2026.073","url":null,"abstract":"<p><p>The \"Report on Cardiovascular Health and Diseases in China 2025\", guided by the National Health Commission and compiled under the auspices of the National Center for Cardiovascular Diseases, systematically integrates multi-dimensional data on cardiovascular diseases (CVD) trends, the evolution of risk factors, advances in diagnosis and treatment, rehabilitation management, medical device innovation, and health economics evaluations in China, providing a scientific basis for policy formulation, resource allocation, and intervention prioritization. According to the data, CVD remains the leading cause of death among urban and rural residents in China, accounting for 48.98% of rural deaths and 47.35% of urban deaths in 2021, approximately 2 in every 5 deaths were attributable to CVD. Although the age-standardized mortality rate has declined, the absolute number of CVD cases and deaths continues to rise due to accelerated population aging and the high prevalence of risk factors. In 2024, the crude incidence rate of CVD among Chinese residents aged 18 years and above was 639.46 per 100,000 population, with rates higher in males than in females. The mortality rate in rural areas has consistently remained higher than in urban areas. The Healthy China Action Plan (2019-2030) sets a target to reduce the mortality rate of cardiovascular and cerebrovascular diseases to below 190.7 per 100,000 population by 2030. To achieve this goal, the report calls for a refined monitoring system to continuously track key health indicators, including tobacco use, dietary patterns, physical activity, sleep quality, body mass index, blood pressure, blood lipids, blood glucose, and environmental exposures. This effort aims to facilitate the transition from a \"treatment-centered\" to a \"health-centered\" approach.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"867-908"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148883064","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}

{"title":"Hypoalbuminemia at HIV Diagnosis Identifies Advanced Immune Dysfunction and Features of Immune Aging.","authors":"Silvere D Zaongo, Mei Han, Zhi Hua Ai, Yao Kai Chen","doi":"10.3967/bes2026.081","DOIUrl":"https://doi.org/10.3967/bes2026.081","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"1019-1025"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148882989","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}

{"title":"Association of Residential Surrounding Normalized Difference Vegetation Index Exposure during Pregnancy with the Risk of Low Birth Weight: A Cohort Study and Meta-analysis.","authors":"Yue Fei Wu, Qiao Ling Geng, Yu Ting Bu, Hao Jun Li, Zi Tong Zhao, Xuan Cao, Qian Li, Huai Yu Chen, Su Jun Fan, Xiao Lin Zhang","doi":"10.3967/bes2026.077","DOIUrl":"https://doi.org/10.3967/bes2026.077","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 8","pages":"997-1001"},"PeriodicalIF":4.1,"publicationDate":"2026-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148882999","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}

{"title":"Development and Validation of a Predictive Model for ICU-acquired Weakness in Sepsis Patients: An Interpretable Machine-learning Approach.","authors":"Yuan Du, Yu Hong Guo, Hao Ran Ye, Zi Heng Gao, Qing Quan Liu, Shuo Wang","doi":"10.3967/bes2026.063","DOIUrl":"https://doi.org/10.3967/bes2026.063","url":null,"abstract":"<p><strong>Objective: </strong>Intensive-care-unit-acquired weakness (ICU-AW), including critical illness polyneuropathy (CIP), critical illness myopathy (CIM), and critical illness neuromyopathy, is a common neuromuscular complication of sepsis. An interpretable machine-learning model for the early prediction of ICU-AW in patients with sepsis was developed and validated using the Medical Information Market for Intensive Care (MIMIC)-IV v3.1 database and local hospital data.</p><p><strong>Methods: </strong>A total of 3,842 adult patients who met the Sepsis-3 criteria were enrolled to create the MIMIC-IV database. ICU-AW was defined as per International Classification of Diseases codes in the MIMIC cohort and with a Medical Research Council score of ≤ 48 in the external cohort. Baseline demographics, vital signs, severity scores, and laboratory data within the first 48 h of intensive care unit (ICU) admission were recorded. Features were selected using least absolute shrinkage and selection operator (LASSO) regression and the Boruta algorithm. The dataset was split into training and validation sets in a 7:3 ratio. Seven machine-learning models were constructed: LightGBM, XGBoost, logistic regression, Naïve Bayes, random forest, CatBoost, and a support vector machine. Model performance was assessed in terms of the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, calibration curves, and decision curve analysis. SHapley Additive explanations (SHAP) analysis was used to interpret the optimal model.</p><p><strong>Results: </strong>Among 3,842 patients, 203 (5.28%) were diagnosed with CIM/CIP. Seven key features were selected using the LASSO and Boruta methods. The random forest model performed the best, with an AUC of 0.772 in the validation set and 0.753 in the external cohort. It exhibited good calibration and the highest net benefit. The SHAP analysis revealed that early antibiotic use, early mechanical ventilation, sequential organ failure assessment scores, and age were the main predictors of ICU-AW.</p><p><strong>Conclusion: </strong>A random forest model using early ICU data could effectively predict the risk of ICU-AW in patients with sepsis and offer interpretation <i>via</i> SHAP. Thus, it may serve as a clinical decision-making tool for early risk identification and optimized prevention.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 7","pages":"769-784"},"PeriodicalIF":4.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148681671","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}

{"title":"Insights into Genetic Diversity and Divergence Time of Human-Derived <i>Echinococcus granulosus</i> Isolates in Qinghai, China.","authors":"Hong Run Ge, Ru Meng, Zhi Li, Hong Duo, Yuan Qing Lin, Suo Ang Qiupei, Xihuo You, Qin Yi He, Hai Long Zhao, Yong Fu","doi":"10.3967/bes2026.024","DOIUrl":"https://doi.org/10.3967/bes2026.024","url":null,"abstract":"","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 7","pages":"855-858"},"PeriodicalIF":4.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148681646","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}

{"title":"Lasso Regression-based Model for Cross-Sectional Identification of Significant Hepatic Fibrosis in NAFLD LASSO-based identification of hepatic fibrosis in NAFLD.","authors":"Wen Deng, Ya Qin Zhang, Wei Hua Cao, Shuo Jie Wang, Shi Yu Wang, Zi Yu Zhang, Xin Xin Li, Lin Mei Yao, Zi Xuan Gao, Xin Wei, Tian Yu Ma, Dian Ya Qiu, Hong Xiao Hao, Yao Xie, Ming Hui Li","doi":"10.3967/bes2026.065","DOIUrl":"https://doi.org/10.3967/bes2026.065","url":null,"abstract":"<p><strong>Objective: </strong>Nonalcoholic fatty liver disease (NAFLD) is an increasing global health concern, with liver-related mortality increasing as fibrosis progresses. This study aimed to identify the key determinants and develop a noninvasive model to detect significant hepatic fibrosis.</p><p><strong>Methods: </strong>A total of 466 patients with biopsy-confirmed NAFLD were retrospectively analyzed at Beijing Ditan Hospital between 2008 and 2018. The patients were classified into non-significant (S0-1) and significant fibrosis (S2-4) groups. Relevant features were selected using least absolute shrinkage and selection operator (LASSO) regression, followed by multivariate logistic regression to construct a model for the cross-sectional identification of significant fibrosis. Model performance was assessed using receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and bootstrap validation.</p><p><strong>Results: </strong>Of the 466 patients, 112 had significant fibrosis. LASSO regression identified 10 relevant features, and the model achieved an AUC of 0.919 (sensitivity, 83.9%; specificity, 85.3%) with a corrected AUC of 0.907 after bootstrap validation. It outperformed the APRI, FIB-4, and LSM ( <i>P</i> < 0.001), and the DCA confirmed its clinical utility across probability thresholds.</p><p><strong>Conclusion: </strong>The noninvasive model, incorporating demographic, laboratory, and imaging parameters, accurately identified significant hepatic fibrosis in NAFLD and outperformed existing noninvasive scores. This may facilitate interventions and guide personalized management.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 7","pages":"799-808"},"PeriodicalIF":4.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148680447","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}

{"title":"Epidemic Spread and Control Strategies: A Spatial-individual Agent-based Modeling and Optimization Approach.","authors":"Xiang Yu Zhang, Zhi Dong Cao, Tian Yi Luo, Jiao Jiao Wang, Hong Bin Song, Li Gui Wang","doi":"10.3967/bes2026.061","DOIUrl":"https://doi.org/10.3967/bes2026.061","url":null,"abstract":"<p><strong>Objective: </strong>Traditional disease prevention strategies that rely on fixed parameters and macro-level models struggle to capture the diversity of individual behaviors and environmental complexities. Indoor spaces with high population densities and poor ventilation, such as schools and hospitals, are particularly vulnerable to pathogen transmission. The coronavirus disease (COVID-19) pandemic highlighted the need for precise intervention strategies.</p><p><strong>Methods: </strong>We developed a spatial-individual agent-based model that integrates fine-grained spatiotemporal dynamics, where transmission risk is quantified by the exact distance and duration of contact. This model was applied to a high-resolution case study of a university dormitory floor to evaluate various testing frequencies, scopes, and isolation intensities.</p><p><strong>Results: </strong>Simulations showed that a dormitory-wide isolation policy outperformed individual restrictions by protecting uninfected rooms. Counter-intuitively, every-three-day class-based testing lowered infection risks compared to daily class-based testing by minimizing high-density interactions. In spatially constrained environments, stricter isolation reduces the overall outbreak duration but increases the contact transmission rate among individuals sharing the same enclosed space.</p><p><strong>Conclusion: </strong>Epidemic control in high-density environments requires balancing testing frequency and isolation stringency based on spatial constraints. Under strict isolation, frequent testing is vital for breaking transmission chains. In less restrictive settings, moderately reducing the testing frequency minimizes unnecessary contact. These findings provide data-driven guidance for optimizing public health policies on campuses.</p>","PeriodicalId":93903,"journal":{"name":"Biomedical and environmental sciences : BES","volume":"39 7","pages":"745-757"},"PeriodicalIF":4.1,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148681666","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}