Objective To quantitatively assess the exposure-response association between exposure to heatwave and sudden death, estimate the attributable excess deaths, and identify potential vulnerable subgroups. Methods A time-stratified case-crossover study was conducted among residents who died from sudden death in Jiangsu Province, China between 2015 and 2021. Heatwave events in Jiangsu Province, defined using varying relative temperature thresholds and durations, were identified using temperature data from the China Meteorological Administration Land Data Assimilation System (CLDAS V2.0). Individual heatwave exposure was assessed based on each subject's residential address. The exposure-response association between heatwave and sudden death was evaluated using conditional logistic regression model combined with a Distributed Lag Nonlinear Model(DLNM). Heatwave-attributable excess deaths were estimated. Stratified analyses by sex and age were performed to assess potential effect modifications. Results Under all definitions, exposure to heatwave was significantly associated with an increased risk of sudden death, and the risk increased with the intensity of heatwave. Using the P95_3d definition (temperature exceeding the 95th percentile for ≥3 consecutive days), heatwave was significantlyassociated with a 56% increased risk of sudden death (95% CI: 31%, 86%). The population-attributable fraction of sudden death due to heatwave exposure was 1.45% (95% CI: 0.97%, 1.90%). Stratified analyses indicated no statistically significant differences in the association between heatwave exposure and sudden death across age or sex subgroups. Conclusion Heatwave exposure was associated with an increased risk of sudden death. Reducing heatwave exposure during summer may help lower the occurrence of sudden death.

Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

Objective: To explore the association between nap duration with anxiety and depressive symptoms among junior high school students, in order to provide evidence for mental health interventions for adolescents. Methods: From May to June 2022, a combination of convenience sampling and cluster sampling was used to select 2 491 students from 2 junior high schools in Haizhu District, Guangzhou City for questionnaire survey and physical examination. The questionnaire collected nap duration, night time sleep duration, bedtime, physical activity, and sedentary behavior. Anxiety and depressive symptoms were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Log-binomial regression model was used to analyze the association of nap duration with anxiety and depressive symptoms, as well as comorbidity among junior high school students, and a restricted cubic spline (RCS) Log-binomial regression model was employed to analyze the non linear relationship after adjusting for covariates. Results: The detection rates of anxiety symptoms, depressive symptoms and comorbidity among junior high school students were 13.29%,14.65%,9.19%. After adjusting for covariates such as age, gender and nighttime sleep duration, compared with a school day nap duration of <30 min/d, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.68, 95% CI =0.49-0.98) and comorbidity ( APR =0.56, 95% CI =0.39-0.87)(both P < 0.05 ). Compared with no napping on weekends, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.62, 95% CI =0.41-0.88), depressive symptoms ( APR =0.52, 95% CI =0.34-0.75) and comorbidity ( APR = 0.52 , 95% CI =0.30-0.83)(all P <0.05). RCS curves showed a nonlinear relationship between weekend nap duration and the prevalence of anxiety, depressive symptoms and comorbidity among junior high school students(all P non linear <0.05); weekend nap duration of <120 min was associated with a lower risk of anxiety and depressive symptoms, and weekend nap duration of >180 min was associated with an increased risk. Conclusions Appropriate nap duration can help reduce the risk of anxiety, depressive symptoms, and the comorbidity among junior high school students. Adolescents should be guided to reasonably arrange nap duration for promoting physical and mental health.

ObjectiveTo construct an Enterococcus faecium （Ef）-based recombinant Ef-PA0057 vaccine of Pseudomonas aeruginosa（Pa）and to study its protective immune mechanism in mice. MethodsThe PA0057 gene was cloned from the genomic DNA of PA01 strain ATCC9027 by PCR and inserted into pGEX-1λT to construct pGEX-PA0057. The recombinant plasmid was electroporated into TX0016 strain to construct rEf-PA0057 vaccine. The plasmid was extracted from rEf for PCR. The rEf vaccine was expressed through IPTG induction， and the expression of protein was analyzed by SDS-PAGE and Western blot. BALB/c mice were immunized intragastrically with 5×10⁸ CFU rEf-PA0057 vaccine 3 times per week for 3 weeks. 4 weeks after the first immunization， mice were challenged intranasally with 5×10⁷ CFU of PA01 strain. 2 weeks after challenge， mice were sacrificed， and their lungs were separated. Bacteria in lungs were incubated and colonies were counted. Sera were collected at 0， 4， and 6 weeks after the first immunization. The IgG and its subclasses， and IgE were detected by ELISA. ResultsThe 900 bp PA0057 gene was successfully cloned by PCR. PCR showed that PA0057 gene was amplified when the extracted plasmid from rEf as template； the relative molecular mass （Mr） of the expressed PA0057-GST fusion protein was approximately 58 ku， detected by SDS-PAGE. The amount of the expressed protein was 18% of the total bacterial proteins. Western blot showed that the target protein could be recognized by Pa sera. The colony numbers of lung tissue in rEf-PA0057 vaccine group， blank vector group and Ef control group were （0.297±0.011）×10⁸ CFU， （7.576±0.206）×10⁸ CFU and （7.551±0.185）×10⁸ CFU， respectively， the difference was statistically significant （P0.01）. The levels of IgG， IgG1， IgG2b， IgG3 and IgE increased. At the same time point， there was a significant difference compared with the two control groups （P0.01）. ConclusionThe rEf-PA0057 vaccine is successfully constructed. It may induce mice to produce humoral response against challenge with PA01.

Objective To analyze the influencing factors of plastic bronchitis in children with Mycoplasma pneumoniae infection and put forward targeted prevention suggestions. Methods The clinical data of children with Mycoplasma pneumoniae infection who were admitted to Chengdu Third People's Hospital from September 2022 to February 2024 were retrospectively analyzed . According to whether plastic bronchitis occurred, they were divided into plastic group (n=118) and non-plastic group (n=184), and the differences between the two groups were compared and analyzed. Univariate and multivariate logistics regression analysis equations were used to analyze the independent influencing factors of plastic bronchitis in children with mycoplasma pneumoniae infection. Results Among the 302 children with Mycoplasma pneumoniae infection , 118 cases were diagnosed with plastic bronchitis. Analysis showed that the children’s age, duration of fever, hospital stay, pleural effusion rate, number of bronchoscopic lavage, allergy history, endoscopic mucosal erosion rate, WBC, NE%, LY%, CRP, LDH, PCT and D-D were the single factors influencing the occurrence of plastic bronchitis in children with mycoplasma pneumoniae infection. Binary logistics regression analysis revealed that age (OR=2.137, P=0.033, 95% CI: 1.132-16.603), allergy history （OR=3.028, P=0.014, 95% CI: 1.261-864), NE% (OR=2.395, P=0.031, 95% CI: 1.087-5.274), CRP (OR=3.864, P=0.004, 95% CI: 1.563-3.864), PCT (OR=4.125, P=0.001, 95% CI: 1.793-3.864), and D-D (OR=3.920, P=0.002, 95% CI: 1.632-3.864) were independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection (P<0.05). Conclusion Age, allergy history, NE%, CRP, PCT and D-D are independent risk factors for plastic bronchitis in children with mycoplasma pneumoniae infection . It is necessary to take clinical intervention measures to reduce the occurrence risk.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

ObjectiveTo observe the effect of Zishen Tiaogan prescription on the oxidative stress injury in the rat model of diminished ovarian reserve （DOR） and explore the role of the Kelch-like ECH-associated protein 1 （Keap1）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway. MethodsForty-eight female SD rats were randomly assigned into a normal group （n=12） and a modeling group （n=36）. The rats in the modeling group received subcutaneous injection of galactose （350 mg·kg^-1） combined with immobilization stress daily. After 28 days of modeling， 6 rats in the normal group and 6 rats in the modeling group were sacrificed to examine the modeling results. The successfully modeled rats were assigned into model， estradiol valerate （0.09 mg·kg^-1）， and low-， medium-， and high-dose （6.39， 12.78， 25.56 g·kg^-1， respectively） Zishen Tiaogan prescription groups. The intervention lasted for 4 weeks with 6 animals per group. Hematoxylin-eosin staining was used to observe the estrous cycle and the pathological changes in the ovarian tissue. The ovarian index was calculated. Enzyme-linked immunosorbent assay was employed to measure the serum levels of sex hormones and oxidative stress-related indexes. Western blot and real-time PCR were employed to determine the protein and mRNA levels， respectively， of Nrf2， Keap1 and HO-1 in the ovarian tissue. The positive expression of superoxide dismutase 2 （SOD2） in the ovarian tissue was detected by immunohistochemistry （IHC）. ResultsCompared with the normal group， the model group showed reduced follicles in the ovary， loose arrangement of the follicle granule layer， declined levels of anti-Mullerian hormone （AMH） and estradiol （E₂） in the serum， elevated levels of luteinizing hormone （LH） and follicle-stimulating hormone （FSH） （P<0.01）， lowered levels of superoxide dismutase （SOD）， catalase （CAT）， and glutathione （GSH） （P<0.01）， and increased accumulation of malondialdehyde （MDA） （P<0.01）. In addition， the modeling led to up-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 and HO-1 protein was significantly decreased （P<0.01）， the mRNA expression of Nrf2 was significantly decreased （P<0.05）， the mRNA expression of HO-1 was significantly decreased （P<0.01）， in the ovarian tissue. Compared with model group， the estradiol valerate and low-， medium-， and high-dose Zishen Tiaogan prescription groups showed increases in the ovarian index （P<0.01） and serum E₂ and AMH levels （P<0.01）， declined levels of FSH and LH （P<0.01）， increased follicles in the ovary， elevated levels of SOD， CAT， and GSH， and reduced accumulation of MDA （P<0.05， P<0.01）. Furthermore， these groups showcased down-regulated protein and mRNA levels of Keap1 （P<0.01）， the expression of Nrf2 protein was significantly increased （P<0.01）， the expression level of HO-1 protein was increased （P<0.05，P<0.01）， and increased positive expression of SOD2 （P<0.01）. ConclusionZishen Tiaogan prescription can regulate the serum levels of hormones， down-regulate the expression of Keap1， up-regulate the expression of Nrf2， HO-1， and SOD2， enhance the antioxidant capacity， and reduce the peroxidation damage in the ovarian tissue to improve the ovarian reserve function in the rat model of DOR. High-dose Zishen Tiaogan prescription demonstrated the best effect and the mechanism is associated with the regulation of the Keap1/Nrf2/HO-1 pathway.

BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Background: The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis. Methods: We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved. Results: Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects. Conclusions This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.