Objective: To understand the awareness of chikungunya fever knowledge and its related factors among medical college students in Baise City, so as to provide a scientific basis to offer relevant courses and special education. Methods: From July to August 2025, 7 286 enrolled medical students were selected by a sampling method from a medical college in Baise City to participate in the questionnaire survey. The questionnaire covered epidemiological characteristics, clinical symptoms, and prevention/control knowledge of chikungunya fever. Statistical analyses including the Chi quare test and multivariate Logistic regression models were performed. Results: The overall awareness rate of chikungunya fever knowledge among the medical students was 18.89%. Among the knowledge items, the awareness rate of "the high incidence season" was the highest (84.05%), while that of "the infectious period" was the lowest (17.80%). Multivariate Logistic regression analysis showed that medical students with female (a OR= 1.37 , 95%CI =1.20- 1.57 ), the age for over 25 years old (a OR=1.76, 95%CI =1.05-2.93), whose father had a middle school educational level (a OR=1.18, 95%CI =1.05-1.31), and majored in preventive medicine (a OR=1.54, 95%CI =1.10-1.67) had relatively higher awareness rates of chikungunya fever knowledge (all P <0.05). In contrast, students of Zhuang ethnicity (a OR= 0.87 , 95%CI =0.76-0.98) and majoring in nursing (a OR=0.74, 95%CI =0.61-0.91) or pharmacy (a OR=0.70, 95%CI =0.52-0.95) had relatively lower awareness rates (all P <0.05). Conclusions The awareness rate of chikungunya fever related knowledge among medical college students in Baise City is relatively low. Schools should take targeted publicity measures to improve medical students awareness.

Objective: The cross sectional study aimed to identify predominant co-occurrence patterns among six common mental health issues in college students, so as to provide empirical basis for designing targeted interventions. Methods: From October 2024, a total of 9 837 students from 4 universities in Xiangtan City, Hunan Province, participated in the current study by multistage random cluster sampling method. Participants completed self report measures, including the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7 item Scale (GAD-7), Young s Internet Addiction Diagnostic Questionnaire, the Adolescent Insomnia Symptom Self rating Scale, the Ottawa Self injury Inventory, and the Brief Community Assessment of Psychic Experiences Questionnaire. Demographic and co-occurrence characteristics were first compared using Chi square or trend Chi-square tests, followed by application of the Apriori algorithm to mine association rules for primary co-occurrence patterns. Results: The detection rate of co-occuring the common mental health issues was 46.44%. The detection rate was significantly higher in female than in male students (50.42%, 43.61%; χ 2=44.46) and in students from rural versus urban areas (47.22%, 44.60%; χ 2=5.67) (both P <0.05). Significant differences were observed among freshmen, sophomores, juniors, and seniors (46.63%, 48.35%, 45.05% , 43.66%, respectively; χ 2=9.22, P <0.05), although no statistically significant trend was detected ( χ 2 trend =3.75, P = 0.05 ). Association rule mining identified “anxiety + depression” “anxiety + psychotic experiences + depression” and “anxiety + sleep disorder + depression” as the combinations with the highest support. In addition, “anxiety+depression+Internet addiction+psychotic experiences =>sleep disorder (>= refered to the occurrence of the latter item under the condition that the former item occurs)” and “anxiety + depression+Internet addiction=>sleep disorder” were combinations with relatively high confidence. Conclusions Co-occurrence of these mental health issues among college students is high and exhibits diverse patterns. Strategies to address this burden should prioritize integrated interventions that target these specific combinations of factors.

Immune checkpoint inhibitors (ICIs) are widely used in the treatment of malignant tumors, and their related immune-related adverse events (irAEs) have attracted increasing attention. This study reports the diagnosis and treatment process of a case of immune cystitis in a patient with hepatobiliary tract malignant tumor after treatment with pembrolizumab. The patient was admitted to the hospital due to frequent urination, urgency of urination and dysuria for 1 month. Previous repeated anti-infection treatments were ineffective. Combined with medical history, laboratory tests, imaging findings, cystoscopy and pathological results, the patient was clinically diagnosed with ICIs-associated immune cystitis (Pembrolizumab) ultimately. The patient's symptoms significantly improved after treatment with glucocorticoids. This case reindicates that clinicians need to improve awareness of ICI-related urinary system irAEs. Early identification and timely intervention can significantly improve patient prognosis.

Objective To identify immune cell-related biomarkers in lung adenocarcinoma (LUAD) using weighted gene co-expression network analysis (WGCNA). Methods Based on data from The Cancer Genome Atlas (TCGA) database, a gene co-expression network was constructed for the TCGA-LUAD dataset using the "WGCNA" R package, and genes were clustered into different modules. Concurrently, the Estimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE) algorithm was applied to the tumor samples in the TCGA-LUAD dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to evaluate the biological functions of genes within the most significantly correlated module. Candidate hub genes from the key module were intersected with a protein-protein interaction (PPI) network to identify the final hub genes. The prognostic performance of these hub genes and their correlation with immune cell infiltration were validated using Kaplan-Meier curves and the Tumor IMmune Estimation Resource (TIMER) algorithm. Finally, a multivariate Cox regression analysis was conducted on the identified hub genes to construct a prognostic risk model. Results In the co-expression network, the brown module was found to be highly correlated with the ImmuneScore, StromalScore, and ESTIMATE Score. Five immune-related hub genes were identified: CD53, PLEK, SPI1, IL10RA, and C3AR1. Enrichment analysis of the brown module revealed that its genes were primarily enriched in GO terms such as "regulation of innate immune response" and KEGG pathways like the "NF-kappa B signaling pathway". Furthermore, the expression levels of these five hub genes were significantly and positively correlated with the infiltration abundance of various immune cells. The immune relevance of the model was validated by the Immunophenoscore (IPS) and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Moreover, the established RiskScore demonstrated significant potential in predicting the response to immunotherapy. Conclusion These five immune-related key genes may serve as novel and effective potential therapeutic targets for LUAD immunotherapy, facilitating the development of personalized diagnosis and treatment strategies for patients with LUAD.

Objective To explore the value of diffusion tensor imaging analysis index along the perivascular space(DTI-ALPS)for assessing age-related functional changes in glymphatic system(GS).Methods Totally 27 healthy subjects from Meizhou People's Hospital and 100 healthy subjects from neuroimaging informatics tools and resources collaborator database who underwent T1-weighted magnetization-prepared rapid gradient echo(T1-MPRAGE)and DTI scanning were retrospectively enrolled and divided into youth group(n=38),middle-aged group(n=57)and elderly group(n=32).Automated DTI-ALPS index analysis procedure was used to minimize manual errors and derive DTI-ALPS index.The general data,neuropsychological assessment results and DTI-ALPS indices were compared among groups.Spearman correlation analysis was performed to observe the relationships of DTI-ALPS index and age,gender,as well as neuropsychological scores.Results The average age in youth group,middle-aged group and elderly group was(28.5±5.8),(53.7±6.8)and(73.8±2.3)years,respectively.No significant difference of DTI-ALPS index was found between middle-aged group and elderly group(P＞0.05),which were both lower than that in youth group(both P＜0.05).DTI-ALPS index was weakly negatively correlated with age(rs=-0.340,P＜0.001),but not significantly correlated with gender nor neuropsychological assessment results(both P＞0.05).Conclusion DTI-ALPS index was negatively correlated with age in healthy individuals,hence having potential utility for assessing age-related functional changes in GS.

Objective:To analyze the diversity of Duffy blood group gene among ethnic Hui population from Henan Province using PacBio long-read sequencing technique.Methods:Randomly select 30 individuals with three generations of Hui ancestry from Henan as the study subjects. Full-length sequences of the Duffy blood group gene were obtained through PacBio long-read sequencing. Distribution of the predicted phenotype and genotype frequency were determined, and the linkage between Duffy haplotypes and variation sites was analyzed. Genetic diversity, natural selection pressure, and population genetic characteristics were evaluated. This study was approved by the Medical Ethics Committee of the Second Affiliated Hospital of Zhengzhou University (Ethics No. 202223).Results:The predicted Duffy blood group phenotype in the Henan Hui population was predominantly Fy(a+ b-). Three novel SNPs in the FY*01 allele were identified, with a total frequency of 13.33%, among which FY*01.NEW1 (c.199C>T) was the most common. A total of 32 variant sites were identified, with 28 located in intronic regions, indicating that genetic diversity was primarily concentrated in introns. The Duffy blood group gene was under negative selection pressure ( dN/ dS < 1, Tajima′s D, Fu and Li′s D*& F* significantly deviated from 0), suggesting overall conservation. The allele frequencies of Duffy blood group in the Henan Hui population was similar to that of the Xinjiang Hui, Xinjiang Kazakh, Inner Mongolia Mongolian, and Yuncheng Han populations, but significantly different from those of most Han and other ethnic groups ( P<0.05). Conclusion:This study revealed the characteristics of the Duffy blood group gene among the Henan Hui population and demonstrated the significant advantages of PacBio long-read sequencing technique in haplotype analysis, genetic diversity study, and novel mutation identification.

Spinal cord injury represents a severe central nervous system trauma characterized by prolonged treatment duration, limited neural regeneration, and delayed functional recovery, greatly affecting patients′ quality of life. The impaired neural tissue struggles to recover effectively due to both the hostile microenvironment and its own compromised state. Current clinical interventions, including early reduction, laminectomy decompression, and intravenous or intrathecal methylprednisolone administration, fail to simultaneously modulate the microenvironment and improve the neural status. Zinc, a trace element abundant in the central nervous system, plays a critical role in gene expression regulation, synaptic plasticity, and neuronal activity. Clinical evidences have indicated that lower serum zinc concentration in patients with spinal cord injury correlates with poorer outcomes and animal experiments have also demonstrated the neuroprotective effects of zinc. In fact, zinc supplementation therapy has not yet been developed into a mature clinical protocol. Besides, related animal studies still lack comprehensive understanding. To this end, the authors reviewed the biological characteristics of zinc, its administration routes, neuroprotective effects and mechanisms in the management of spinal cord injury, aiming to provide references for future basic research and clinical practice.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective Genetic testing and prenatal diagnosis were conducted in 18 congenital insensitivity to pain with anhidrosis(CIPA)families,laying the foundation for reducing the incidence of CIPA.Methods Genetic testing was performed using whole-genome sequencing and/or PCR-Sanger sequencing to identify candidate patho-genic vari-ants in the probands.For deep intronic variants,the pathogenicity was validated through minigene assays,RT-PCR,Sanger sequencing,and co-segregation analysis.DNA extracted from chorionic villus or amniotic fluid cells was analyzed by PCR and Sanger sequencing to determine the genotype of the fetuses.Maternal DNA contamination was excluded by microsatellite allele genotyping.Additionally,multiplex ligation-dependent probe amplification(MLPA)was employed to detect common chromosomal aneuploidies.Results A total of 21 NTRK1 variants were identified across 18 CIPA pedigrees,including 9 missense variants,2 nonsense variants,5 frameshift variants,and 5 deep intronic variants.Among them,3 were novel pathogenic variants.Prenatal genetic diagnosis was performed in 20 high-risk fetuses,revealing 2 normal fetuses,12 carriers,and 6 affected with CIPA.Microsatellite genotyping confirmed the absence of maternal DNA contamination in fetal samples.Moreover,MLPA analysis excluded common chromosomal aneuploidies associated with syndromic conditions in all tested fetuses.Conclusions This study achieved a 100%molecular diagnosis rate in CIPA families,identified three novel pathogenic variants,and enabled the simultaneous prevention of CIPA and common chromosomal syndromes through integrated prenatal ge-netic testing,thereby providing critical insights for genetic counseling.

Objective To comparatively evaluate the clinical efficacy of liposomal bupivacaine and ropiva-caine in transversus abdominis plane(TAP)block combined with intravenous patient-controlled analgesia(PCA)following cesarean section,and to explore the analgesic advantages of liposomal bupivacaine.Methods Eighty parturients scheduled for elective cesarean section were recruited and randomly allocated into two groups via a random number table:the liposomal bupivacaine group and the ropivacaine group.At the conclusion of the surgical procedure,both groups underwent ultrasound-guided bilateral TAP block.In the ropivacaine group,20 mL of 0.5%ropivacaine was administered per side.In the liposomal bupivacaine group,266 mg of liposomal bupivacaine was dissolved in 0.9%normal saline to a total volume of 40 mL,with 20 mL injected per side.The following parameters were compared between the two groups:Visual Analog Scale(VAS)scores at rest and during movement at various postop-erative time points,the overall scores of the 15-item Quality of Recovery(QoR-15)scale,postoperative opioid consumption,the time to first ambulation,the time to first flatus,and the incidence of adverse drug reactions such as nausea,vomiting,constipation,and pruritus.Results In comparison with the ropivacaine group,the liposomal bupivacaine group exhibited significantly lower Visual Analogue Scale(VAS)scores both at rest and during move-ment at 12 hours,24 hours,and 48 hours postoperatively(P<0.001).Significantly higher Quality of Recovery-15(QoR-15)scores were recorded in the liposomal bupivacaine group at 24 hours and during the 24-48-hour period postoperatively(P<0.001).The postoperative opioid consumption within 48 hours was markedly lower in the liposo-mal bupivacaine group(P<0.001).The time to first flatus was significantly shorter in the liposomal bupivacaine group(P<0.001).No significant differences were detected in the incidence of nausea,vomiting,or constipation between the two groups(P>0.05),and no cases of pruritus or other severe adverse reactions were observed.Conclusion Liposomal bupivacaine used for TAP block following cesarean section offers extended analgesia,reduces the need for opioids,enhances the quality of postoperative recovery,promotes gastrointestinal motility,and demonstrates excellent safety.