Objective To construct a One Health-based performance evaluation indicator system for integrated interventions for schistosomiasis in the elimination phase, clarify the dimensions and connotations of intervention performance evaluation, and provide methodological reference for subsequent real-world performance evaluation in schistosomiasis control. Methods On the basis of literature analysis, a preliminary indicator system was developed through group discussion and expert consultation. Nineteen experts in schistosomiasis control were invited to participate in two rounds of Delphi consultation. Expert response rate, degree of consensus, coordination of opinions, and authority were assessed. The indicators were optimized and refined according to the scoring results and expert feedback, and the analytic hierarchy process was used to determine the normalized weights of indicators at each level. Results Through literature analysis, group discussion, and expert consultation, a preliminary performance evaluation indicator system for integrated interventions for schistosomiasis was developed, consisting of 4 first-level indicators, 8 second-level indicators, and 20 third-level indicators. The response rates of the two rounds of expert consultation were both 100.00%. In the first round, the ranges of the experts’ judgment coefficient, familiarity coefficient, and authority coefficient were 0.88 ~ 1.00, 0.74 ~ 0.99, and 0.82 ~ 0.99, respectively; in the second round, the corresponding ranges were 0.88 ~ 0.98, 0.73 ~ 0.98, and 0.81 ~ 0.98, respectively. In the first round, Kendall’s coefficients of concordance for the rationality, importance, and operability of the indicators were 0.201, 0.252, and 0.221, respectively; in the second round, the corresponding values were 0.267, 0.319, and 0.296, respectively. The Kendall’s coefficients of concordance in both rounds were statistically significant (χ² = 112.063, 140.415, 123.386, 121.939, 145.393, and 135.072, all P < 0.05). After optimization and revision, the final indicator system consisted of 4 first-level indicators, 7 second-level indicators, and 14 third-level indicators. Among the first-level indicators, the normalized weights of “health performance”, “economic performance”, “ecological performance”, and “social performance” were 40.44%, 13.88%, 11.67%, and 34.01%, respectively. Among the second-level indicators, the normalized weights of “disease burden level” and “promotion of health equity” were both 100.00%; those of “resource consumption” and “production capacity” were both 50.00%; and those of “water and soil regulation”, “atmospheric environmental regulation”, and “species conservation” were all 33.33%. Conclusions A One Health-based performance evaluation indicator system was constructed for integrated interventions for schistosomiasis in the elimination phase. The system incorporates performance evaluation indicators across multiple dimensions, including health, economic, ecological, and social domains, and provides a tool for evaluating the performance of cross-sector collaborative governance in integrated schistosomiasis interventions.

ObjectiveTo investigate the pharmacological effects of modified Xiexintang ointment on anti-infection and promotion of wound healing in mice with deep second-degree scalds， as well as its underlying mechanisms. MethodsA mouse model of deep second-degree scald was established and mice were randomly divided into six groups： blank group， model group， positive control group （Jingwanhong ointment， 0.1 g·cm^-2）， low-， medium-， and high-dose modified Xiexintang ointment group （0.05， 0.1， and 0.2 g·cm^-2）， with 10 mice in each group. Treatment was administered for 16 days. Wound recovery was recorded by photography， and the wound healing rate was calculated. Hematoxylin-eosin （HE） staining was used to observe histopathological changes in the scalded skin tissues. The levels of inflammatory cytokines， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α）， were measured by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry was used to evaluate the expression levels of vascular endothelial growth factor （VEGF） and cluster of differentiation 31 （CD31） in wound tissues. Western blot analysis was performed to determine the protein expression levels of nerve growth factor （NGF）， its high-affinity receptor tropomyosin receptor kinase A （TrkA）， and its low-affinity receptor nerve growth factor receptor （NGFR）. ResultsCompared with the blank group， the burn site in the model group showed swelling and whitening on the day of modeling， followed by hardening and scab formation on the next day. HE staining on day 2 revealed dermal tissue damage， swelling and degeneration of collagen fibers with homogeneous eosinophilic staining， partial destruction of hair follicles and sebaceous glands， and inflammatory cell infiltration in the dermis， indicating successful model establishment. Compared with the model group， from day 8 of treatment， the low-， medium-， and high-dose groups of modified Xiexintang ointment significantly increased the wound healing rate （P<0.01）. Compared with the model group， all dose groups significantly promoted thickening of the newly formed epidermis， reduced hemorrhage， decreased inflammatory cell infiltration， and increased neovascularization. Compared with the model group， all dose groups significantly reduced the levels of pro-inflammatory cytokines IL-1β， IL-6， and TNF-α in wound tissues （P<0.01）. Meanwhile， the expression levels of angiogenesis-related proteins VEGF and CD31 in wound tissues were significantly increased in all dose groups （P<0.01）. Compared with the model group， the protein expression levels of NGF， NGFR， and TrkA were increased in the medium-dose group （P<0.05， P<0.01）. With increasing dosage， the high-dose group showed a more pronounced increase in NGF， NGFR， and TrkA expression compared with the model group （P<0.01）. ConclusionModified Xiexintang ointment exerts anti-infective and wound-healing effects on skin wounds in mice with deep second-degree scalds. The underlying mechanisms may be related to the regulation of VEGF， CD31， NGF， TrkA， and NGFR protein expression， thereby reducing inflammation and promoting angiogenesis and nerve regeneration at the wound site.

Objective: To explore the association between executive function and emotional and behavioral problems in first-grade elementary school students, so as to provide a reference for promoting children s mental health. Methods: From March to May 2024, 423 first-grade elementary school students from 6 primary schools aged 6-7 were selected by using stratified cluster random sampling in Shanxi, Shanghai, Shandong, Guangxi, Xinjiang, and Jiangxi. Data were collected by using the Executive Function Assessment Scale and the Strengths and Difficulties Questionnaire. An independent samples t-test was used to analyze differences in executive function of different genders and differences in emotional and behavioral problems among first-grade school students with varying executive function levels; a linear regression model was employed to analyze the association between children s executive function and emotional and behavioral problems. Results: A total of 42 first-grade elementary school students (9.9%) were identified as having executive function deficits. Students in the executive function deficit group scored higher on internalizing behavior (7.50±0.52), externalizing behavior (11.26±0.52), and total difficulties (18.52± 0.93 ) were significantly higher than those of children without deficits (4.37±0.14, 6.69±0.17, 10.64±0.27) ( t =5.79, 8.50, 9.23, all P <0.05). Results of linear regression analysis showed that, after controlling for relevant covariates such as gender, age, family economic status, being an only child, and body mass index, the factor scores, dimensional scores, and total scores of executive function were all positively correlated with scores for externalizing problems, internalizing problems, and total difficulties ( β =0.07-0.32, all P <0.05). Conclusions Children s executive function is closely associated with emotional and behavioral problems, and those with poorer executive function exhibit more pronounced emotional and behavioral problems. Improving children s executive function may help promote their mental health.

OBJECTIVE: To investigate the prenatal manifestation and genetic basis for two fetuses suspected for Osteocraniostenosis (OCS). METHODS: Two fetuses undergoing invasive prenatal diagnosis at Cangzhou People's Hospital in April and August 2021 for short long bones and abnormal skull morphology were selected as the study subjects. Clinical data were collected and analyzed. Genomic DNA was extracted from amniotic fluid and peripheral blood samples of the two couples. Candidate variants were validated by Sanger sequencing. Literature was retrieved from CNKI, Wanfang Data Knowledge Service Platform and PubMed using keywords including "FAM111A gene", "gracile bone dysplasia", "FAM111A" and "osteocraniostenosis" from January 1, 2000 to June 30, 2025. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: K2020-049). RESULTS: Fetus 1 was found to have short limbs, abnormal skull morphology and shallow cerebral sulci. Fetus 2 showed short limbs, irregular skull halo, prominent forehead and bilateral frontal narrowing. Trio-WES revealed that fetus 1 has carried a heterozygous missense variant c.1582G>C (p.Asp528His) in exon 4 of the FAM111A gene, which was unreported previously. Fetus 2 has harbored a heterozygous in-frame deletion c.1020_1022delTTC (p.Ser343del) in exon 6 of the FAM111A gene, which has been recorded as likely pathogenic by the ClinVar and HGMD databases. Sanger sequencing confirmed that the parents of both fetuses were wild-type for the variant sites. A total of 9 previously reported patients with FAM111A-related gracile bone dysplasia/OCS from 4 publications were retrieved. The main clinical features included intrauterine growth restriction, hypomineralized skull, gracile long bones with narrow medullary cavities and characteristic facial anomalies, which were in large in keeping with the prenatal features of the two fetuses. CONCLUSION Both fetuses were diagnosed with FAM111A-related OCS based on the characteristic prenatal findings and identification of the FAM111A variants. Above finding expanded the phenotypic spectrum of FAM111A-associated disorders and provided clues for the prenatal diagnosis and genetic counseling.
Humans ; Female ; Pregnancy ; Prenatal Diagnosis ; Phenotype ; Fetus ; Male ; Bone Diseases, Developmental/genetics* ; Adult

Parkinson's disease （PD） is a common neurodegenerative disorder characterized by motor impairments， with its pathological mechanisms involving multiple processes such as the degeneration of dopaminergic neurons and the abnormal aggregation of α-synuclein. Current Western medical treatments face challenges including diminished long-term efficacy and motor complications. In recent years， Traditional Chinese Medicine （TCM） has demonstrated advantages in the prevention and treatment of PD through its systematic regulatory capabilities， featuring multi-component， multi-target， and multi-pathway approaches.This article systematically reviews the roles of seven key signaling pathways-NF-κB， AMPK/mTOR， PI3K/Akt， MAPKs， Nrf2/ARE， Wnt/β-catenin， and BDNF/TrkB-in the pathological process of PD and the regulatory mechanisms of TCM. Research indicates that active ingredients of Chinese herbs and compound formulations can synergistically modulate these pathways， exerting comprehensive effects in inhibiting neuroinflammation， alleviating oxidative stress， promoting autophagy to clear abnormal proteins， and enhancing neurotrophic support. These signaling pathways form a complex regulatory network through crosstalk among key nodal molecules， constituting an intricate regulatory system in PD pathology. The multi-target intervention characteristics of TCM align well with this network-based regulatory requirement， achieving integrated anti-inflammatory， antioxidant， autophagy-regulating， and neurorestorative effects through synergistic multi-pathway modulation. This article systematically outlines the mechanisms of TCM in the coordinated regulation of multiple pathways， providing a theoretical basis for elucidating the pathological process of PD and the intervention mechanisms of TCM， while also offering new perspectives and directions for modern research on TCM in the prevention and treatment of PD.

Objective To analyze survival outcomes and influencing factors among patients with colorectal cancer in Yunnan Province. Methods Clinical data were retrospectively collected from 4 892 patients with colorectal cancer. Survival data were obtained through follow-up. Overall survival (OS) was calculated by using the Kaplan-Meier method. Univariate analysis was performed by applying the log-rank test. Meanwhile, multivariate analysis employed the Cox proportional hazards regression model. Results The 1-, 3-, 5-, and 10-year OS rates for the entire cohort were 91.90%, 74.40%, 64.40%, and 28.70%, respectively. Univariate analysis revealed that age, ethnicity, region, differentiation grade, TNM stage, clinical stage, metastatic status, histological type, and treatment modality (chemotherapy, radiotherapy, and surgery) were associated with patient prognosis (all P<0.05). Multivariate analysis identified age (HR=1.250), region (HR=1.262), differentiation grade (HR=0.761), clinical stage (HR=3.128), and treatment modality (chemotherapy, HR=0.644; radiotherapy, HR=1.605; surgery, HR=0.384) as independent factors affecting survival prognosis in patients with colorectal cancer (all P<0.001). Conclusion Age, region, clinical stage, and treatment modality are independent factors influencing survival among patients with colorectal cancer in Yunnan Province. In clinical practice, these factors should be integrated to develop individualized prevention and treatment strategies, thereby improving patient outcomes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective: To statistically analyze the association between blood donation intervals and the incidence of adverse reactions to blood donation based on blood donor data from Shenzhen. Methods: Basic data and records of adverse reactions to blood donation among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS), binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donation intervals and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression analysis and the generalized estimating equations (GEE) model showed that there was no significant difference in the incidence of adverse reactions between male and female donors with an interval of ≥6 months compared to those with an interval of ≥3 months but<6 months. Furthermore, using the 3-5 month interval group as the reference, the analysis indicated that the incidence of adverse reactions significantly increased in males with a 9-12 month interval, while no statistically significant differences were observed across any of the female subgroups. Conclusion: There was no significant correlation between adverse reactions to blood donation and the donation interval. Compared with a donation interval of ≥6 months, an interval of<6 months does not lead to an increase in the incidence of adverse reactions among male or female donors. The findings of this study may help enhance the willingness of blood donors to participate.

Objective: To statistically analyze the association between blood donor age and the incidence of adverse reactions based on whole blood donor data from Shenzhen. Methods: Data on basic characteristics and records of adverse donation reactions among voluntary whole blood donors in Shenzhen from January 2017 to June 2025 were extracted. A total of 795 404 whole blood donations were recorded, including 502 743 from males and 292 661 from females, with 1 088 and 751 cases of adverse reactions, respectively. Analyses were performed using R software, including restricted cubic spline (RCS) analysis, binary logistic regression, and generalized estimating equations (GEE) to evaluate the correlation between donor age and adverse reactions. Results: A total of 1 839 cases of adverse reactions were recorded, accounting for 0.23% of the total donations. Both binary logistic regression and GEE model revealed that, compared with the≤55 years age group, the incidence of adverse reactions was reduced in both male and female donors in the >55 years age group, with the difference being statistically significant in males. Using the <23 years age group as a reference, the incidence of adverse reactions significantly decreased in both male and female donors across the 23-30, 31-40, 41-50, and 51-60 age groups, with the differences being statistically significant. Conclusion: There is a negative correlation between the rate of adverse donation reactions and age, with the incidence of such reactions among whole blood donors over 55 years old being no higher than that among donors aged 55 years or younger. These findings carry positive significance for safeguarding the donation rights of older donors and meeting clinical blood demand.