To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

Background Per- and poly-fluoroalkyl substances (PFAS) can influence gestational diabetes mellitus (GDM); however, current studies on their association are limited and have yielded inconsistent findings. Objective To investigate the association between maternal exposure to PFAS, as measured by urinary concentrations in early pregnancy, and the risk of developing GDM. Methods Based on the Wuhu Birth Cohort in Anhui Province conducted between 2020 and 2023, this study included 1910 pregnant women. Urine samples were collected during the first trimester, and a 75 g oral glucose tolerance test (OGTT) was completed at 24–28 gestational weeks. The concentrations of six PFAS in urine were measured using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Participants were categorized into low, medium, and high exposure groups according to tertiles of individual PFAS concentrations. Logistic regression analysis was employed to assess the potential impact of early-pregnancy PFAS exposure levels on the risk of GDM, with stratified analyses by maternal age and fetal sex. A generalized weighted quantile sum regression (gWQS) model was applied to evaluate the relative weight distribution of the six PFAS in their mixture effect. Results The logistic regression results revealed that both medium exposure to perfluorohexane sulfonate (PFHxS) (OR=1.475, 95%CI: 1.040, 2.093) and high exposure to perfluorononanoic acid (PFNA) (OR=1.430, 95%CI: 1.013, 2.018) were positively associated with diagnosed GDM. This association was more pronounced among women older than 28 years. Among pregnant women carrying male fetuses, high-level exposures to per fluorohexanoic acid (PFHxA) (OR=1.708, 95%CI: 1.006, 2.899) and PFHxS (OR=2.116, 95%CI: 1.247, 3.584) showed positive associations with diagnosed GDM. In contrast, among those carrying female fetuses, moderate perfluorooctanesulfonic acid (PFOS) exposure was associated with a lower risk of GDM (OR=0.542, 95%CI: 0.311, 0.946). The gWQS results demonstrated that PFOS (0.48) and perfluorobutane sulfonate (PFBS) (0.34) contributed the most to the mixture effect. Conclusion Early-pregnancy exposure to PFAS (particularly PFHxS and PFNA) may be an etiological factor for GDM, with maternal age and fetal sex potentially acting as effect modifiers in this association.

Objective: To explore the association of latent profiles of mobile phone dependence and self control with physical exercise among junior high school students, so as to provide references for the prevention of mobile phone dependence and the improvement of self control among junior high school students. Methods: From April to May 2024, a stratified random cluster sampling method was used to select a total of 2 311 students from grade 7 to grade 9 in three public junior high schools in Xiangxi Autonomous Prefecture, Hunan Province. Latent profile analysis was conducted to identify the latent profiles of mobile phone dependence and self control among junior high school students. Pearson correlation analysis was used to examine the correlation between mobile phone dependence and self control, and Chi square test was used to analyze the distribution differences of latent profiles of adolescents across different demographic characteristics. Multiple Logistic regression analysis was applied to explore the association between mobile phone dependence, self control, and physical exercise. Results: Four latent profiles of mobile phone dependence and self control were identified: low dependence-moderate self control group ( n =885, 38.3%), moderate dependence-low self control group ( n =910, 39.4%), high dependence-no self control group ( n =232, 10.0%), and no dependence-high self control group ( n =284, 12.3%). Significant differences were observed in the distribution of latent profiles across gender, grade and only child status ( χ 2=10.85, 35.72, 13.85， P <0.05). Logistic regression analysis showed that, after controlling for demographic variables, compared with the low dependence-moderate self control group, physical exercise was negatively associated with the moderate dependence-low self control group ( OR =0.79) and the high dependence-no self control group ( OR =0.81), while positively associated with the no dependence-high self control group ( OR =1.58) ( P <0.01). Conclusions The influence of physical exercise on junior high school students different potential profile types of mobile phone dependence and self control is different. Schools and families should adopt targeted physical exercise interventions based on the characteristics of different profiles to promote the physical and mental health of junior high school students.

Objective: To analyze the heterogeneity of mobile phone dependence development trajectory in middle school students and its association with loneliness and selfcontrol ability, so as to provide reference for the prevention of mobile phone dependence in middle school students. Methods: A total of 941 grade 1 students from 4 public middle schools in Xiangxi Autonomous Prefecture, Hunan Province were selected for the followup survey by random cluster sampling from October 2023 to April 2024 and October 2024. Mobile Phone Addiction Index (MPAI), University of California, Los Angeles Loneliness Scale-20 (UCLA-20) and Selfcontrol Scales (SCS) were used for questionnaire survey. The heterogeneity of the developmental trajectory of middle school students mobile phone dependence was analyzed by the latent growth curve model (LGMM), and the influencing factors of the developmental trajectory of middle school students mobile phone dependence were explored by multiple Logistic regression analysis. Results: The development trajectory of middle school students mobile phone dependence could be divided into four categories: C1 "low risk slow decline group (n=438,44.6%)", C2 "medium risk slow rise group (n=272,29.7%)", C3 "high risk rapid decline group (n=73,8.6%)" and C4 "high risk rapid rise group (n=158,17.1%)". There were significant differences in the distribution of mobile phone dependence development track heterogeneity subgroups among sex, only child, lodging, and leftbehind students (χ2=117.79, 44.88, 37.09, 130.50, P <0.01). The results of the multinomial Logistic regression model analysis showed that, with C1 group as the reference, C2, C3, and C4 were positively correlated with students loneliness [OR(95%CI)=1.04 (1.02-1.06), 1.11(1.08-1.14), 1.12(1.09-1.14)]; C2 and C4 groups were negatively correlated with students selfcontrol [OR(95%CI)=0.97(0.96-0.99), 0.95(0.93-0.97)] (P<0.01). Conclusions The development trajectory of mobile phone dependence among middle school students is heterogeneous. Reducing the loneliness of individuals and cultivating good selfcontrol ability are helpful to alleviate mobile phone dependence behavior among middle school students.

ObjectiveTo observe the antidepressant effect of Chaihu Shugansan combined with ferulic acid on the rat model of chronic unpredictable mild stress （CUMS） and explore the mechanism from the histomorphology of frontal cortex， expression of key molecules in the brain-derived neurotrophic factor （BDNF）/tyrosine kinase receptor B （TrkB） signaling pathway， and changes in monoamine neurotransmitter levels. MethodsSixty adult male SD rats were randomized into six groups （n=10）： blank control， depression model， Chaihu Shugansan （3.3 g·kg^-1·d^-1）， ferulic acid （50 mg·kg^-1·d^-1）， Chaihu Shugansan （3.3 g·kg^-1·d^-1） + ferulic acid （50 mg·kg^-1·d^-1）， and fluoxetine （2.1 mg·kg^-1·d^-1）. Rats in other groups except the blank control group were subjected to a mild chronic unpredictable stress stimulus every day. Seven stimuli were used， including fasting with free access to water for 24 h， water deprivation with free access to food for 24 h， wetting the bedding with water in the cage， restraint for 3 h， tail clamping for 1 min， swimming in ice water at 4 ℃， and day and night reversal. Each stimulus was used 1 to 3 times， and the modeling lasted for a total of 21 days. At the same time of stimulation， rats in each medication group were treated with corresponding agents by gavage， while those in the blank control group and the depression model group received equal volumes of normal saline by gavage. The open field test， sucrose preference test， and forced swimming test were conducted before and after modeling. The rats were anesthetized by intraperitoneal injection of 3% pentobarbital sodium， and the frontal cortex was isolated on ice. The mRNA and protein levels of BDNF， TrkB， and cyclic adenosine monophosphate-responsive element-binding protein （CREB） in the frontal cortex were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. The levels of monoamine neurotransmitters 5-hydroxytryptamine （5-HT）， dopamine （DA）， and norepinephrine （NE） in the frontal cortex were determined by enzyme-linked immunosorbent assay. Light microscopy was employed to observe the histopathological changes in the frontal cortex. ResultsCompared with the blank control group， the depression model group showed reduced body mass （P<0.05， P<0.01）， decreased number of crossings and rearings in the open field test and sucrose preference （P<0.01）， prolonged time of immobility in the forced swimming test （P<0.01）， reduced neuronal cells， increased necrotic cells， and darkening cell staining in the frontal cortex， down-regulated mRNA and protein levels of BDNF， TrkB， CREB， and lowered levels of 5-HT， NE， and DA in the frontal cortex （P<0.01）. Compared with the depression model group， each intervention group showed improved general state， increased body mass （P<0.05）， increased number of crossings （P<0.05）， shortened immobility time in the forced swimming test （P<0.01）， increased neuronal cells， reduced necrotic cells， and lightened cellular staining in the frontal cortex， up-regulated mRNA and protein levels of BDNF， TrkB and CREB， and elevated levels of 5-HT， NE， and DA in the frontal cortex （P<0.01）. Moreover， the Chaihu Shugansan + ferulic acid group outperformed the Chaihu Shugansan group and the ferulic acid group in increasing the body mass and the 5-HT content in the frontal cortex （P<0.05）. The combination group outperformed the Chaihu Shugansan group regarding the number of rearings and up-regulation in the mRNA level of BDNF in the frontal cortex （P<0.05）， and it was superior to the ferulic acid group in terms of shortening the immobility time in the forced swimming test， up-regulating the mRNA levels of BDNF， TrkB， and CREB and the protein levels of BDNF and CREB in the frontal cortex， and increasing the DA content in the frontal cortex （P<0.05）. ConclusionChaihu Shugansan combined with ferulic acid can exert antidepressant effect on the rat model of CUMS by regulating the BDNF/TrkB signaling pathway and monoamine neurotransmitter content in the frontal cortex. Moreover， the antidepressant effect of Chaihu Shugansan combined with ferulic acid was more significant than that of Chaihu Shugansan and ferulic acid used alone.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Objective To investigate the critical role of macrophage M1 polarization in mediating the effect of periodontitis on the progression of chronic obstructive pulmonary disease(COPD).Methods Alveolar lavage fluid samples were collected from COPD patients with comorbid periodontitis,and gene expression analysis was performed to validate the changes in the expression of M1 polarization-related genes.A mouse model of COPD,with experimentally induced periodontitis,were established.Hematoxylin and eosin(HE)staining of pathological sections was performed to observe the effect of periodontitis on COPD progression.Flow cytometry,immunofluorescence staining,and reverse transcription quantitative polymerase chain reaction(RT-qPCR)were performed to analyze the effect of periodontitis on macrophage M1 polarization and the expression of relevant genes in the alveolar lavage fluid and lung tissues.Results In clinical samples of alveolar lavage fluid from COPD patients with periodontitis,the expression of macrophage M1 polarization-related genes,including CD86,inducible nitric oxide synthase(iNOS),interleukin(IL)-1β,tumor necrosis factor(TNF)-α,IL-23,and IL-6,was upregulated compared with that of COPD patients without periodontitis.Analysis of a mouse disease model revealed that periodontitis affected the growth of COPD mice,with the final body mass of mice in the periodontitis and COPD comorbid group([21.3±0.52]g,day 34)lower than that of the COPD group([23.93±0.45]g,day 34).Pathological sections of the lung tissue showed that periodontitis exacerbated COPD progression,with more pronounced alveolar expansion and alveolar wall destruction observed in the periodontitis and COPD comorbid group.Flow cytometry revealed a higher proportion of M1-polarized macrophages in alveolar lavage fluid from COPD and periodontitis comorbid mice([31.36±2.51]%)compared with the COPD mice([23.19±1.07]%).Immunofluorescence assays indicated that periodontitis also promoted macrophage M1 polarization in the lung tissue of COPD mice.Gene expression analysis demonstrated that M1 polarization-related gene expression was significantly upregulated in both the alveolar lavage fluid and lung tissue of mice in the COPD and periodontitis co-morbid group compared to the COPD group.Conclusion Periodontitis exacerbates COPD progression by promoting macrophage M1 polarization in the lungs.Enhancing oral hygiene management and targeting the inhibition of macrophage M1 polarization may represent new therapeutic strategies for the clinical prevention and control of COPD.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

As people's living standards improve， the development trend of diabetes has gradually become severe. Diabetes is a chronic inflammatory disease associated with abnormal expression of nuclear factor-kappa B （NF-κB） in patients. NF-κB exists in various tissue cells and participates in the regulation of a variety of genes related to immune function and inflammation. Varieties of factors can activate NF-κB when the body is stimulated by external factors， so as to produce inflammation and other reactions. Previous studies on NF-κB mainly focus on cancer， and the pathological mechanism of the treatment of diabetes by related signaling pathways and the progress of traditional Chinese medicine （TCM） treatment have not been systematically elaborated on. By referring to the relevant literature in China and abroad， it was found that NF-κB is not isolated in the development and progression of diabetes but is associated with signal molecules related to inflammation， oxidative stress， and energy metabolism， and it is involved in mediating inflammation， pancreatic β cell apoptosis， insulin signal transduction， and other physiological functions. Therefore， blocking the transmission of NF-κB signaling pathway is beneficial to the treatment of diabetes. At present， Western medicine for the treatment of diabetes mainly includes oral hypoglycemic drugs and insulin injections， but the adverse reactions are obvious. TCM has been characterized by multi-target， extensive action， and excellent curative effects in the treatment of diabetes. TCM and its compounds with functions of tonifying Qi and promoting blood circulation， regulating qi and eliminating phlegm， clearing heat and detoxifying， and nourishing Yin and moistening dryness can effectively intervene in the abnormal expression of NF-κB signaling pathway in vivo through anti-inflammatory effects. In this paper， the association between NF-κB signaling pathway and diabetes was summarized， and the modern research progress of TCM intervention of NF-κB signaling pathway in the treatment of diabetes in the past five years was reviewed， so as to lay a laboratory foundation for the study of a new pathological mechanism of diabetes based on NF-κB signaling pathway and provide new targets and research direction for the prevention and treatment of diabetes and development of related TCM.