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.

Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Objective To optimize the animal-free fermentation medium and fermentation conditions of pneumococcus, and make it suitable for fermentation production.MethodsThe orthogonal method was used to optimize the carbon source(glucose)(12. 5, 18. 75, 25 g/L), nitrogen source(soybean peptone)(30, 40, 50 g/L) and uracil(10, 20, 30 mg/L) concentrations of fermentation medium for type 1, 3, 5, 9N and 33F pneumococci, as well as fermentation culture conditions such as strain concentration(A_(694))(0. 2, 0. 4, 0. 6), fermentation temperature(35, 36, 37 ℃) and pH(6. 8, 7. 2, 7. 6).ResultsThe optimal fermentation medium compositions for pneumococcus were as follows: for type 1, soybean peptone at 50 g/L, initial glucose concentration at 18. 75 g/L, and uracil at 30 mg/L; the optimal fermentation conditions were A_(694)at 0. 6, temperature at 35 ℃,and pH at 7. 6. For type 3, the optimal medium consisted of soybean peptone at 30 g/L, initial glucose concentration at 12. 5 g/L,and uracil at 10 mg/L; the optimal fermentation conditions were A_(694)at 0. 6, temperature at 35 ℃, and pH at 7. 2. For type 5,the optimal medium comprised soybean peptone at 50 g/L, initial glucose concentration at 12. 5 g/L, and uracil at 20 mg/L;the optimal conditions were A_(694)at 0. 6, temperature at 36 ℃, and pH at 6. 8. For type 9N, the optimal medium consisted of soybean peptone at 50 g/L, initial glucose concentration at 18. 75 g/L, and uracil at 10 mg/L; the optimal conditions were A_(694)at 0. 6, temperature at 36 ℃, and pH at 7. 2. For type 33F, the optimal medium comprised soybean peptone at 50 g/L, initial glucose concentration at 12. 5 g/L, and uracil at 30 mg/L; the optimal conditions were A_(694)at 0. 4, temperature at 37 ℃, and pH at 6. 8.ConclusionThe optimized fermentation medium and fermentation conditions can be applied to the research and production of 24-valent pneumococcal polysaccharide vaccine.

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

Objectives:To explore the predictive value of residual Murray's law-based quantitative flow ratio(μQFR)on long-term vessel-oriented composite endpoints(VoCE).Methods:This retrospective study included 3 510 patients from the FAVOR Ⅲ China trial.Offline residual μQFR analysis was performed on all vessels(diameter≥2.5 mm)with 50%-90%stenotic lesions.Patients were stratified into high-,intermediate-,and low-risk groups based on residual μQFR tertiles.The primary endpoint was 3-year VoCE,defined as a composite of cardiac death related to the target vessel,target vessel-related spontaneous myocardial infarction,and ischemia-driven target vessel revascularization.Results:Offline analysis was performed on 5 256 vessels from 3 510 patients.The mean residual μQFR was 0.92±0.75.The high-risk group(residual μQFR≤0.91)with 1 554 patients(1 958 vessels);the intermediate-risk group(residual μQFR 0.92-0.96)with 1 211 patients(1 906 vessels);and the low-risk group(residual μQFR>0.96)with 745 patients(1 392 vessels).Over 3-year follow-up,VoCE occurred in 227 vessels(4.3%).The 3-year VoCE incidence was significantly higher in the high-risk group compared to the intermediate-and low-risk groups(6.2%vs.4.1%vs.2.5%,log-rank P<0.001),primarily driven by ischemia-driven target vessel revascularization(5.0%vs.3.0%vs.1.6%,log-rank P<0.001).Hypertension(OR=0.83,95%CI:0.72-0.96),hypercholesterolemia(OR=0.84,95%CI:0.73-0.97),bifurcation lesions(OR=0.72,95%CI:0.63-0.83),moderate/severe calcification(OR=0.70,95%CI:0.57-0.84),and tandem lesions(OR=0.59,95%CI:0.47-0.75)were independent predictors of lower residual μQFR values.Conclusions:Lower residual μQFR is significantly associated with increased VoCE risk during the 3-year follow up period.

Objective To explore the role of the brief visuospatial memory test-revised(BVMT-R)in predicting the clinical conversion to psychosis in subjects with clinical high-risk for psychosis(CHR-P).Methods A total of 217 CHR subjects were recruited and assessed using BVMT-R at baseline.Participants were followed up for three years to determine whether they converted to psychosis.The relationship between BVMT-R total score and CHR-P conversion probability was analyzed using generalized additive model,and the cutoff values of BVMT-R total score for predicting CHR-P conversion were calculated by maximally selected rank statistics.Then,the total BVMT-R score was stratified into different intervals based on the cutoff values obtained as previously described.Finally,the positive likelihood ratios and the conversion rates at different time points were calculated for each interval.Results A total of 168 subjects with CHR-P completed the 3-year follow-up assessment.According to the results of the generalized additive model,the relationship between the BVMT-R total score and CHR-P conversion probability exhibited the characteristics of a piecewise function model.The cutoff values identified using the maximally selected rank statistics method were 18 and 29,which divided the BVMT-R total scores into three intervals:0-18,19-29,and 30-36.The positive likelihood ratios of the three intervals for predicting CHR-P psychosis conversion were significantly different(all P<0.01).All three intervals had significantly different rates of psychosis conversion at different follow-up time points(all P<0.01).Conclusion The total BVMT-R score can be divided into three intervals,each associated with a distinct positive likelihood ratio for predicting psychosis conversion in CHR-P individuals.Accordingly,the BVMT-R total score may serve as a preliminary indicator for estimating the probability of psychosis conversion in the CHR-P population.

Objective To investigate the characteristics of macrophage depletion by clodronate liposomes(CL)in a carbon tetrachloride(CCl4)-induced liver fibrosis mouse model,and to analyze the transcriptomic features.Methods Thirty-two C57BL/6 mice were divided randomly into plain control liposomes for clophosome(PL)and clodronate liposome(CL)groups(n=16 mice per group),and administered intraperitoneal injections of PL and CL,respectively.On day 5,each group was further divided into normal(N)and model(M)subgroups(n=8 mice per subgroup).Mice in group M received 10％CCl4 intraperitoneally to induce liver fibrosis,while mice in group N received an equal volume of olive oil.After 4 weeks,serum alanine aminotransferase(ALT)and aspartate aminotransferase(AST)levels were measured,and hepatic inflammation and collagen deposition were evaluated by hematoxylin/eosin and Sirius red staining,respectively.Total RNA was extracted from liver tissues for transcriptomic sequencing and subsequent differential gene expression analysis.Results Serum ALT and AST levels were significantly elevated in the PL-M group(P＜0.01),with fibrosis staging primarily at S3,compared with S1 in the CL-M group.Totals of 1462 and 2119 differentially expressed genes(|log fold change|＞2 and P＜0.05)were identified in the PL and CL groups,respectively.Gene Ontology analysis revealed enrichment in multiple biological processes,cellular components,and molecular functions in both models,and Kyoto Encyclopedia of Genes and Genomes analysis identified 29 significantly enriched pathways(P＜0.05).The upregulation of genes including Lgals7 and Timp1 and the downregulation of Mup-ps16 and Mup15 were validated by reverse transcription-quantitative polymerase chain reaction,consistent with transcriptomic trends(P＜0.05).Conclusions This study highlights the characteristics and transcriptomic features of macrophage depletion in the CCl4-induced liver fibrosis model,providing a theoretical reference for research on the immune mechanisms of liver fibrosis.

Ulcerative colitis(UC)is a common chronic non-specific intestinal inflammatory disease clinically.Its pathogenesis is complex,prolonged the disease course,and it is frequent clinical recurrence.In recent years,the incidence of UC has shown an upward trend and tends to younger onset,which seriously affects the quality of life of patients and increases the social medical burden.Mitogen-activated protein kinase(MAPK)plays an important role in the occurrence and development of UC,participating in inflammatory response,oxidative stress,autophagy,apoptosis,pyroptosis,and intestinal barrier.MAPK may be a new target for the treatment of UC.Traditional Chinese medicine has a long history and remarkable curative effect in treating UC,with the advantages of multiple pathways,multiple targets,and multiple components.In recent years,many studies have shown that single Chinese herbal medicines and compound prescriptions can mediate MAPK signaling pathway to inhibit inflammatory response and oxidative stress,regulate autophagy,inhibit apoptosis and pyroptosis,repair the intestinal barrier,and treat UC in many aspects.This article reviews the MAPK signaling pathway,the mechanism by which the MAPK signaling pathway regulates UC,and the research progress of traditional Chinese medicine in treating UC based on the MAPK signaling pathway,hoping to provide theoretical support for the treatment of UC by traditional Chinese medicine and new ideas and references for the research of related new drugs.

Alzheimer disease(AD)is a progressive neurodegenerative disorder characterized by cognitive dysfunction and declining learning and memory abilities,significantly impacting daily lives and behavioral capacities of the patients.The mitogen-activated protein kinase(MAPK)signaling pathway,primarily composed of extracellular signal-regulated kinase,p38 MAPK,and c-Jun N-terminal kinase.Mounting evidence suggests that the MAPK signaling path-way is intimately linked to the pathogenesis of AD,providing crucial insights into the disease's progression.In recent years,traditional Chinese medicine(TCM)has demonstrated promising potential in treating AD,with its advantages of personalized therapy and multi-target regulation garnering increasing research attention.This study aims to review the ex-perimental research landscape of TCM interventions targeting the MAPK signaling pathway for the prevention and treat-ment of AD over the past five years.The findings reveal that effective compounds and herbal formulas in TCM,such as isorhamnetin,nobiletin,parthenolide,Glehnia littoralis,Ishige okamurae,shikonin,artemisinin,kaempferol,myrice-tin,and Tripterygium glycosides,can alleviate AD symptoms by modulating the MAPK signaling pathway.These interven-tions mitigate Aβ-induced neuronal damage,reduce Tau protein hyperphosphorylation,and suppress neuroinflammatory responses.The objective of this review is to provide a scientific and theoretical reference for the clinical prevention and treatment of AD and to inform the development of novel therapeutic agents.