Objective To investigate the prevalence of Clonorchis sinensis human infections in Congjiang County, Guizhou Province in 2023, so as to provide insights into formulation of the clonorchiasis control strategy. Methods Congjiang County was divided into eastern, western, southern, northern and central areas according to the geographical locations, and one township was randomly sampled from each area. Then, each administrative village was randomly sampled from each township, and 200 permanent residents over 3 years of age were randomly sampled from each village. Participants’ stool samples were collected for detection of C. sinensis eggs with the Kato-Katz technique (two slides for each stool sample), and the prevalence and intensity of C. sinensis infections were calculated. In addition, the risk factors of clonorchiasis were identified among participants using a questionnaire survey. Results A total of 1 001 residents were included, and the prevalence of C. sinensis infections was 16.28% (163/1 001), with mild infections as the predominant category of infection intensity [73.01% (119/163)]. The prevalence rates of C. sinensis human infections were 30.50% (61/200), 1.50% (3/200), 30.35% (61/201), 12.50% (25/200), and 6.50% (13/200) at five survey sites, respectively (χ² = 107.03, P < 0.05), and there was a significant difference in the prevalence of C. sinensis infections between men [22.44% (112/499)] and women [10.16% (51/502)] (χ² = 27.71, P < 0.05). The prevalence of C. sinensis infections was relatively high among participants at ages of 60 to 70 years [26.14% (23/88)], public servants [46.15% (6/13)], and Han ethnic participants [33.33% (5/15)]. The prevalence of C. sinensis infections was higher among participants with a habit of consuming raw or un-dercooked freshwater fish and shrimp [22.06% (90/408)] than among those without the habit [12.31% (73/593)] (χ² = 16.85, P < 0.05), and there was no significant difference in the prevalence of C. sinensis infections between participants with [13.99% (41/293)] and without separation of raw and cooked chopping boards [17.23% (122/708)] (χ² = 1.59, P > 0.05). In addition, the prevalence of C. sinensis infections was 8.70% (2/23) and 16.46% (161/978) among participants with and without fever complicated by discomfort in the right upper abdomen during the past half year (χ² = 0.99, P > 0.05). Conclusions The prevalence of C. sinensis human infections was high in Congjiang County, Guizhou Province in 2023, and infections predominantly occurred among young and middle-aged men. Intensified health education among high-risk residents and alteration of dietary habits of consuming raw or undercooked freshwater fish or shrimp are recommended to reduce the prevalence of C. sinensis human infections.

The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

Occupational disease diagnostician (ODD) is the core technology professional who is responsible for occupational disease diagnosis and identification and the main inspection work for occupational medical examination. The implementation of regular assessment management for ODDs is a key component of standardized workforce management, which facilitates dynamic evaluation of professional competence, regulation of medical practice, and assurance of medical safety. Since January 2025, Guangdong Province has implemented regular assessment management for ODDs within its administrative region. The assessment adopts an integrated model consisting of three components including professional competency evaluation, performance appraisal, and professional ethics evaluation, with each assessment cycle lasting three years. ODDs who passed all three components are classified as qualified ODD, whereas those who failed to pass any one of the three components result in an unqualified assessment outcome. In the implementation of ODD regular assessment management, Guangdong Province has emphasized integrating assessment with quality evaluation, strengthening full-cycle supervision of ODDs′ professional conduct, optimizing assessment strategies for special groups of ODDs, and reinforcing the primary management responsibility of medical institutions. Meanwhile, ODDs′ professional competence, service quality, and professional integrity have been continuously promoted by adopting human-computer interactive assessments, information-based assessment management, and "elimination" mechanism.

ObjectiveTo investigate the ameliorative effects of Kaixuan Jiedu core prescription （KXJD） on skin lesions in psoriasis-like mouse models under cold environment exposure， and to analyze its influences on transient receptor potential （TRP） channels and related neuroimmune regulatory factors. MethodsThirty-six C57BL/6J mice were randomized into 6 groups， with 6 mice in each group. Two feeding conditions were set： Normal temperature and cold ［simulating a cold environment at （10±0.5） ℃， for 6 h daily］. Mice were induced to develop psoriasis-like lesions by applying imiquimod externally. The model mice were allocated into model groups and KXJD （30.42 g·kg^-1， continuous gavage for 5 days） groups. Normal mice were used as the control group. Specifically， mice were allocated into normal temperature， normal temperature model， normal temperature+KXJD， cold exposure control， cold exposure model， and cold exposure+KXJD groups. The pathological changes in skin lesions were observed by hematoxylin-eosin （HE） staining. The expression of cluster of differentiation （CD） 3⁺ T lymphocytes， CD11c⁺ dendritic cells （DCs）， phosphorylated extracellular signal-regulated kinase （p-ERK）， and substance P （SP） were detected by immunofluorescence assay. The protein level of transient receptor potential cation channel subfamily M member 8 （TRPM8） in the skin tissue was determined by Western blot. The expression of TRPM8， transient receptor potential cation channel subfamily V member 1 （TRPV1）， transient receptor potential cation channel subfamily A member 1 （TRPA1）， and transient receptor potential cation channel subfamily V member 2 （TRPV2） at the protein and mRNA levels was determined by immunohistochemistry and Real-time PCR， respectively. The levels of calcitonin gene-related peptide （CGRP） and neuropeptide Y （NPY） in the serum were analyzed by enzyme-linked immunosorbent assay （ELISA）. The enrichment analysis of differentially expressed genes （DEGs） and TRP pathway network construction were conducted based on the GEO database. The co-expression of TRPM8 and CGRP in the skin lesions was verified by immunofluorescence double labeling. ResultsBoth the normal temperature and cold exposure model groups showed typical psoriasis-like skin lesions. Compared with the normal temperature and cold exposure control groups， the model groups had excessive epidermal keratinization， thickened spinous layer， and inflammatory infiltration in the dermis， with increased pathological scores （P<0.05）， increased infiltration of CD3⁺ and CD11c⁺ cells and expression of p-ERK and SP， upregulated mRNA levels of TRPM8， TRPA1， and TRPV2， downregulated mRNA level of TRPV1 （P<0.05）， and reduced content of CGRP and increased content of NPY in the serum. Compared with the normal temperature and cold exposure model groups， KXJD reduced the pathological manifestations and pathological scores of psoriasis-like skin lesions （P<0.05）， and inhibited the infiltration of CD3⁺ and CD11c⁺ cells and the expression of p-ERK and SP. Gene enrichment analysis suggested that the DEGs of psoriasis were significantly enriched in the interleukin （IL）-17 signaling pathway and TRP channel inflammatory regulation. Compared with the normal temperature and cold exposure model groups， KXJD reversed the abnormal mRNA levels of genes related to the TRP channel subfamilies （P<0.05）， increased the CGRP level， and decreased the NPY level. Immunofluorescence double labeling further confirmed that compared with the model groups， KXJD down-regulated the co-expression of TRPM8 and CGRP in the skin lesions. ConclusionKXJD may ameliorate psoriasis-like skin lesions by downregulating the overexpressed cold-sensitive receptor TRPM8 in skin lesions and correcting the disorder of neuropeptide （such as SP and CGRP） release mediated by it， thereby inhibiting the IL-23/helper T cell 17 （Th17） core inflammatory pathway， suppressing the infiltration of inflammatory cells and the activation of the ERK signaling pathway， and regulating the Xuanfu （sweat pore）-TRPM8-neuroimmune response axis.

Objective To investigate the epidemiological characteristics, influencing factors, and community dietary network drivers of clonorchiasis in Longjiang Village, Congjiang County, Guizhou Province using social network analysis from a One Health perspective, so as to provide insights into implementation of precision control measures. Methods Longjiang Village, Congjiang County, Guizhou Province was selected as a survey point. A total of 128 permanent residents at ages of over 6 years were sampled using a random sampling method, and subjects’ stool samples were collected. In addition, at least 10 fecal samples were collected from domestic cats and dogs, reservoir hosts of Clonorchis sinensis, and at least 80 freshwater snails and at least 200 freshwater fish, intermediate hosts of C. sinensis, were sampled in Longjiang Village. C. sinensis eggs were detected in human, domestic cat and domestic dog fecal samples using a modified Kato-Katz thick smear method (two slides for one stool sample) . The C. sinensis metacercariae were detected in freshwater fish with a compression method and the C. sinensis cercariae were detected in freshwater snails with a cercarial shedding method, respectively. Participants’ demographic characteristics, dietary and drinking hygiene behaviors and food-sharing relationships were collected with structured questionnaires and semi-structured in-depth interviews, and factors affecting C. sinensis infection were identified using regression analysis. Based on the north-south orientation delineated by the village river, participants were divided into groups a and b. Subjects’ food-sharing network was analyzed using social network analysis, and the Louvain algorithm was employed to investigate the community structure and key nodes of the network. Results The overall prevalence of C. sinensis infection was 33.59% (43/128) among participants in Longjiang Village, Congjiang County, Guizhou Province. The detection of C. sinensis metacercariae was 7.63% (22/288) in freshwater fish, and no C. sinensis cercariae were detected in freshwater snails. The prevalence of C. sinensis infection was 7.69% (1/13) in domestic cats, and no infection was detected in domestic dogs. Regression analysis identified age groups of 25 to 45 years [adjusted odds ratio (AOR) = 23.17, 95% confidence interval (CI): (1.85, 490.29)], Dong ethnicity [AOR = 26.80, 95% CI: (1.54, 1 105.09)], frequent consumption of raw water [AOR = 9.39, 95% CI: (1.58, 99.79)], and consumption of raw fish [AOR = 3.49, 95% CI: (1.52, 34.69)] as independent risk factors for C. sinensis infection among villagers in Longjiang Village (all P values < 0.05). Social network analysis showed a significantly higher global clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) and average local clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) in Group b than in Group a, and a significantly higher degree centrality was found among C. sinensis-infected individuals than among uninfected individuals in Group b (17.54 vs. 4.26; t = 2.33, P = 0.02). There was a high-risk community S11 with a 45.83% prevalence rate of C. sinensis infection in Group b, and C. sinensis-infected individuals with high betweenness centrality in Group b might serve as critical “bridges” in the food-sharing network, which facilitated the aggregation and diffusion of the risk of C. sinensis infection in the community. Conclusions Individual dietary behaviors, such as drinking raw water and consuming raw or undercooked fish, and sociocultural factors of household-neighborhood food-sharing networks, may contribute to the clustering transmission of clonorchiasis in Longjiang Village. The clonorchiasis control strategy is recommended to shift from individual-centered health education towards integrated interventions under a One Health framework in this region, which focus on key individuals within social networks, strengthen coordinated water and environmental management, and enhance community participation to improve the acceptability and sustainability of interventions.

Objective To investigate the predictive factors for postoperative gastrointestinal function in patients undergoing laparoscopic radical rectectomy(LRR),and thereby construct a predictive model.Methods A total of 155 patients who underwent LRR at our hospital from February 2021 to April 2024 were selected for this study.Based on the postoperative intake-nausea-vomiting-examination-duration of symptoms(I-FEED)scoring system,patients were divided into postoperative gastrointestinal dysfunction(POGD)and non-POGD groups.Clinical data of the selected patients were collected,and Logistic regression analysis was used to identify factors influencing the occurrence of POGD in LRR patients.A predictive model for POGD was constructed,and its predictive performance was evaluated using the receiver operating characteristic(ROC)curve.The calibration ability of the model was assessed using the H-L test.Results Of the 155 LRR patients,2 were excluded due to intraoperative conversion to open surgery and 1 due to insufficient data,resulting in a total of 152 patients included in the analysis.The incidence of POGD in these 152 patients was 33.55％(51/152).Logistic regression analysis identified age(OR=2.687,95％CI=1.422-5.078,P=0.003),smoking history(OR=2.564,95％CI=1.395-4.713,P=0.004),preoperative albumin(Alb)level(OR=0.851,95％CI=0.781-0.927,P＜0.001),dexmedetomidine combined with general anesthesia(OR=0.382,95％CI=0.214-0.682,P=0.001),the location of the abdominal auxiliary incision(OR=2.992,95％CI=1.278-7.006,P=0.007)and ligation location of inferior mesenteric artery(OR=3.784,95％CI=1.624-8.815,P=0.001)as influencing factors for POGD in LRR patients.The ROC curve showed that the predictive model constructed using these factors had an area under the curve(AUC)of 0.905,indicating good predictive performance.The H-L goodness-of-fit test showed no significant difference between the predicted and observed values(P＞0.05),indicating good calibration ability.Conclusion Age,smoking history,preoperative Alb level,dexmedetomidine combined with general anesthesia,the location of the abdominal auxiliary incision and ligation location of inferior mesenteric artery are influencing factors for POGD in LRR patients.The predictive model constructed based on these factors has good predictive value and calibration ability,providing a basis for targeted prevention and treatment to reduce the risk of POGD.

OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a whole-exome sequencing (WES)-based machine learning (ML) method. METHODS: WES was performed to identify potential single nucleotide polymorphism (SNP) or mutation sites in a DR pedigree comprising 10 members. A prediction model was established and validated in a cohort of 420 type 2 diabetic patients based on both genetic and demographic features. The contribution of each feature was assessed using Shapley Additive explanation analysis. The efficacies of the models with and without SNP were compared. RESULTS: WES revealed that seven SNPs/mutations ( rs116911833 in TRIM7, 1997T>C in LRBA, 1643T>C in PRMT10, rs117858678 in C9orf152, rs201922794 in CLDN25, rs146694895 in SH3GLB2, and rs201407189 in FANCC) were associated with DR. Notably, the model including rs146694895 and rs201407189 achieved better performance in predicting DR (accuracy: 80.2%; sensitivity: 83.3%; specificity: 76.7%; area under the receiver operating characteristic curve [AUC]: 80.0%) than the model without these SNPs (accuracy: 79.4%; sensitivity: 80.3%; specificity: 78.3%; AUC: 79.3%). CONCLUSION Novel SNP sites associated with DR were identified in the DR pedigree. Inclusion of rs146694895 and rs201407189 significantly enhanced the performance of the ML-based DR prediction model.
Diabetic Retinopathy/diagnosis* ; Humans ; Machine Learning ; Male ; Female ; Polymorphism, Single Nucleotide ; Middle Aged ; Exome Sequencing ; Aged ; Adult ; Pedigree ; Diabetes Mellitus, Type 2/complications* ; Genetic Predisposition to Disease ; Mutation

Objective Metabolomics combined with machine learning algorithms was used to systematically study the preoperative serum metabolites of patients with early postoperative cognitive dysfunction(POCD)after heart valve replacement,so as to screen biomarkers that may predict early POCD after heart valve replacement and explore the corresponding metabolic regulatory mechanisms.Methods A total of 60 patients underwent heart valve replacement under extracorporeal circulation were selected and divided into early-POCD group(group P)and non-POCD group(group N)according to whether POCD occurred or not.Metabolomic analysis was performed on preoperative serum samples of patients in group P and group N to screen the differential metabolites and metabolic pathways.The biomarkers related to early POCD were identified by random forest algorithm.Results A total of 532 differential metabolites were detected by metabonomics analysis,and 5 biomarkers were screened by random forest algorithm,namely quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol.Among them,the main metabolic pathways were phenylalanine metabolism,primary bile acid biosynthesis,ascorbic acid and aldonate metabolism,pentose and glucuronate interconversion,tryptophan metabolism,drug metabolism-cytochrome P450,porphyrin and chlorophyll metabolism.Conclusion Many metabolic pathways in patients with early POCD after heart valve replacement under extracorporeal circulation have changed before operation,which may lead to the occurrence of early POCD.Quinoline,3'-sialyllactose,sphingomyelin(d18∶1/20∶0),lysophosphatidylcholine[P-18∶1(9Z)]and 25-hydroxycholesterol may be biomarkers for predicting early POCD.

Meningeal metastasis is a kind of serious complications of malignant tumor cells invading the leptomeninges and spreading along the cerebrospinal fluid, whose detection rate is gradually increased with advanced imaging diagnostic techniques. Although traditional intrathecal chemotherapy can prolong the survival of patients with meningeal metastasis, its efficacy is still unsatisfactory. In recent years, new intrathecal injection regimens, targeted drug therapy, and proton radiotherapy have significantly improved the prognosis of some patients with meningeal metastasis; however, these treatment regimens still require high-quality evidence-based medical evidences. This article reviews the recent advance in intrathecal injection, systemic treatments (systemic chemotherapy, molecular targeted therapy and immunotherapy), and radiotherapy of meningeal metastasis in recent years, so as to help selecting treatment regimens for meningeal metastasis in clinical practice.

Objective:To investigate the correlation between whether the left colonic artery(LCA) is preserved intraoperatively and the incidence of severe low anterior resection syndrome(LARS) in patients with rectal cancer.Methods:Clinical data of 255 rectal cancer patients undergoing low anterior resection from Jan 2020 to Jan 2022 at the First Affiliated Hospital of Xi'an Jiaotong University were retrospectively analysed, and the occurrence of LARS in patients with or without preserving the LCA was compared.Results:The LARS scores and severity in patients with intact LCA were better than those without preserved LCA at 12 months postoperatively ( P=0.017, 0.002). Bowel function at 6 months versus 12 months postoperatively in both groups was mainly reflected in a reduction in the number of bowel movements per day ( P=0.003, 0.001) as well as a reduction in re-voiding of the bowel within 1 hour after defecation ( P<0.001, P=0.001). Univariate and multivariate analyses showed that the distance of the lower edge of the tumour from the anal verge was ≤6 cm ( OR=2.530, 95% CI:1.307-4.900, P=0.006), preoperative neoadjuvant therapy ( OR=13.968, 95% CI: 4.969-39.260, P<0.001), prophylactic stoma ( OR=4.051, 95% CI: 2.042-8.040, P<0.001) were also independent risk factors for severe LARS after anterior resection of rectal cancer, and preservation of the left colonic artery ( OR=0.283, 95% CI: 0.142-0.563, P<0.001) was a protective factor against severe LARS after low anterior resection in rectal cancer patients. Conclusions:Intraoperative preservation of the LCA reduces the incidence and severity of postoperative LARS in patients with rectal cancer undergoing anterior resection. The distance of the lower edge of thetumour from the anal verge and prophylactic stoma are independent risk factors affecting the occurrence of severe LARS after anterior resection of rectal cancer.