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.

Objectives: Hypoparathyroidism (HP) is a rare endocrine disorder caused by parathyroid hormone (PTH) defi ciency. The PTH is a candidate gene for familial isolated hypoparathyroidism (FIH). This study aimed to investigate the pathogenicity of two novel rare variants (RVs) ofPTH through in vitro functional study. Methods: Targeted next-generation sequencing was used to identify candidate gene mutations. Clinical data were retrospectively collected. Wild-type (WT) PTH was used as a template for site-directed mutagenesis to create mutant eukaryotic expression plasmids, which were transfected into cells. Treated with or without 4-phenylbu tyric acid (4-PBA), the levels of intact PTH (iPTH) and PTH (1-84) were measured by chemiluminescence, and protein expression was assessed using Western blotting. Results: Two patients carrying PTH mutations (c.154G > A: p.Val52Ile, c.270G > T: p.Leu90Phe) were identified.Patient 1, a 45-year-old male, presented with carpal and pedal numbness, muscle cramps, and low serum calcium (1.29 mmol/L). Patient 2, a 12-year-old female, had muscle twitches, convulsions, low calcium (1.50 mmol/L), and iPTH of 4 pg/mL. The iPTH or PTH (1-84) levels in the medium transfected with mutant Val52Ile and Leu90Phe PTH decreased by 31%–38%, and 51%–96% compared to WT (allP < 0.05), which were not rescued by 4-PBA. No significant changes in intracellular PTH expression were observed. Conclusions In this study, two novel RVs of PTH(Val52Ile and Leu90Phe) were identified that may impair hormone synthesis and secretion. Our study has broadened the mutation spectrum of the PTH and shed light on potential mechanisms underlying FIH.

Objective To investigate the predictive value of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)radiomics combined with Magee equation 3(ME3)for pathological response following neoadjuvant chemotherapy(NAC)in patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative(HR+/HER2-)breast cancer.Methods A ret-rospective analysis was performed on 325 breast cancer patients diagnosed with HR+/HER2-in two hospitals.Patients from the first hospital were randomly divided into training and internal validation sets at a ratio of 7∶3.Patients from the second hospital served as external validation set.The volume of interest(VOI)of breast cancer was delineated on DCE-MRI images.Then the rele-vant radiomics features were extracted and selected,and the Radiomics score(Radscore)was calculated.The statistically significant clinical and pathological features and Radscore were incorporated into a multivariate analysis.The combined radiomics-clinical model and nomogram were established,and the prediction performance was evaluated by using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results In the training set,seven radiomics features were selected to construct the radiomics model.ME3 score emerged as the independent factor for pathological complete response(pCR)(P＜0.001).By integrating ME3 score and Radscore,a combined radiomics-clinical model was developed.This model demonstrated robust predictive accuracy,with area under the curve(AUC)of 0.88[95％confidence interval(CI)0.80-0.95],0.90(95％CI 0.82-0.98),and 0.82(95％CI 0.70-0.93)in the training,internal validation,and external validation sets,respectively.The nomogram construc-ted from the combined model exhibited excellent discrimination and calibration,with P-values of 0.455,0.312 and 0.062 in the train-ing,internal validation,and external validation sets.Conclusion DCE-MRI radiomics combined with ME3 can be used to predict the pathological response of NAC in HR+/HER2-breast cancer.

Herpes zoster neuralgia(HZN)is a refractory neuropathic pain.Its incidence increases with age,along with higher prevalence of postherpetic neuralgia(PHN).The pain is severe and often lasts for months or even years,significantly impacting patients'work and life.How to reduce the pain level and prevent postherpetic neuralgia is the key to its treatment.However,conventional drug treatment often has adverse effects such as dizziness and drowsiness with low overall efficacy,which is not conducive to controlling and mitigating the pain.Botulinum toxin type A(BTX-A)is an exotoxin released by clostridium botulinum,which is simple to inject,and can effectively alleviate the pain level of PHN through mechanisms such as acting on synapses of neuromuscular junctions and inhibiting neuroinflammatory responses,thereby reducing the incidence of posterior neuralgia.This paper reviews the progress of BTX-A application in the diagnosis and treatment of PHN.

Objective To obtain tree shrew Vasorin(VASN)recombinant protein through prokaryotic expression and purification,prepare monoclonal antibody against tree shrew VASN by immunizing mice with this protein,and preliminarily evaluate its application value.Methods Reverse transcription-polymerase chain reaction(RT-PCR)was used to amplify the full-length sequence of tree shrew VASN gene in vitro.The tree shrew VASN gene fragment was inserted into pET-30a vector to construct pET-30a-VASN recombinant plasmid.The recombinant plasmid was subjected to double digestion with BamH Ⅰ and Sal Ⅰfor identification,and its correctness was further verified by sequencing.The recombinant plasmid with correct sequencing was transformed into BL21(DE3)competent cells,and isopropyl β-D-thiogalactoside(IPTG)was used to induce expression of VASN recombinant protein.Proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis(SDS-PAGE),and the VASN recombinant protein was purified by KCI.Purified recombinant protein was used to immunize BALB/c mice for four times,and serum antibody titer was detected by enzyme-linked immunosorbent assay(ELISA).Splenocytes from mice with serum antibody titer above 1:10 000 were used for cell fusion with myeloma cells.Hypoxanthine-aminopterin-thymidine(HAT)culture medium was first used to screen hybridoma cells.ELISA was used to screen positive hybridoma cell lines that could secrete specific antibodies,and monoclonal hybridoma cell lines were obtained by limiting dilution method.VASN monoclonal antibodies were prepared in large quantities by ascites induction method,purified using rProtein G,and the affinity and in vitro reaction specificity of the monoclonal antibodies were detected by ELISA and Western blotting.Results The full-length sequence of the tree shrew VASN gene was successfully amplified and the recombinant plasmid vector of tree shrew pET-30a-VASN was constructed.The sequence obtained by sequencing of the recombinant plasmid vector was identical to the tree shrew VASN target gene sequence.Recombinant protein VASN mainly existed in the form of inclusion bodies,and the purity after purification reached 90％,meeting the requirements of subsequent immunization experiments.After four immunizations with recombinant protein VASN,mouse serum antibody titer reached 1:729 000.Monoclonal positive hybridoma cell lines were obtained through ascites induction and purification,and the constant affinity value of monoclonal antibodies measured by ELISA reached 2.59x107 L/mol.Western blotting results showed that the tree shrew VASN monoclonal antibody could bind to tree shrew VASN recombinant protein,but it showed no binding reaction with porcine retinol-binding protein 4 recombinant protein,human VASN-leucine rich repeat recombinant protein,or bovine serum albumin.Anti-tree shrew VASN monoclonal antibody could specifically recognize VASN protein in tree shrew heart,liver,spleen,lung,kidney and muscle,with clear bands and clean background.Immunohistochemical detection results showed that this monoclonal antibody could recognize VASN protein in tree shrew spleen,lung,and tree shrew immortalized fibroblasts with high VASN mRNA expression levels,and the detection results were positive.Conclusion Monoclonal antibody against tree shrew VASN is successfully prepared.This antibody can be used for immunohistochemical detection of tree shrew immortalized fibroblasts,spleen tissue,and lung tissue,providing an important tool for further research on the function of VASN in tree shrew models.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.