ObjectiveThis study aims to elucidate the potential mechanism of Zuojinwan in improving liver fibrosis through hepatic tissue metabolomics analysis. MethodsTwenty-four mice were randomly allocated into normal group， model group ， positive drug group （silymarin， 100 mg·kg^-1）， and Zuojinwan group （Zuojinwan solution， 2.5 g·kg^-1）， with per group six mice. Liver fibrosis model was induced via intraperitoneal injection of olive oil solution with 10% carbon tetrachloride （CCl₄） （0.5 μL·g^-1， three times weekly for 8 weeks） in all groups except the normal group. During the final 4 weeks， the silymarin group received silymarin （100 mg·kg^-1） by gavage thrice weekly， while the Zuojinwan group was administered Zuojinwan solution （2.5 g·kg^-1） under the same regimen. After the last administration， the levels of liver fibrosis indicators and liver injury markers in serum were detected. The pathological morphological changes of the liver tissues were observed. The levels of liver fibrosis markers α-smooth muscle actin （α-SMA） and Collagen Ⅰ（ColⅠ） were detected. Metabolomics was analyzed on mice's liver tissues. The mice's serum was collected for metabolomics analysis. ResultsCompared with the model group， Zuojinwan significantly improved indicators related to liver fibrosis and liver injury. Compared with the normal group， the model group showed significantly elevated levels of fibrosis markers such as laminin （LN）， hyaluronic acid （HA）， procollagen typeⅢ （PC-Ⅲ）， and type Ⅳ Collagen （Ⅳ-C）， while liver injury indicators such as alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， alkaline phosphatase （ALP）， lactate dehydrogenase （LDH）， and total bilirubin （TBIL）， exhibited a marked upward trend （P<0.05）. Compared with the model group， the silymarin group showed a significant decrease in the aforementioned indicators （P<0.05）. Notably， compared with the model group， the Zuojinwan group exhibited a significant reduction in all these indicators （P<0.05）， with efficacy comparable to that of the silymarin group. Zuojinwan reduced mRNA and protein levels of α-SMA and ColⅠ in the liver tissue. Metabolomics results revealed that compared with the model group， Zuojiinwan significantly reduced levels of glucose metabolism-related metabolites such as D-fructose 1，6-bisphosphate （FBP）， nicotinamide adenine dinucleotide phosphate （NADPH）， sodium beta-D-fructose 6-phosphate （F6P）， dihydroxyacetone phosphate （DHAP）， fumaric acid， and D-glucose 6-phosphate （G6P） （P<0.05）. Serum enzyme-linked immunosorbent assay （ELISA） was used to detect glucose metabolism indicators and further validate the regulatory effect of Zuojinwan on glucose metabolism. ConclusionThese results suggest that Zuojinwan may improve liver fibrosis by regulating the dysregulated levels of glucose metabolism during the progression of liver fibrosis.

ObjectiveTo investigate the expression level of lysophosphatidyllecithin acyltransferase 4 （LPCAT4） in pancreatic cancer and its effect on the proliferation of pancreatic cancer cells. MethodsIn this study， the differentially expressed genes of patients with KRAS mutant and wild-type pancreatic cancer were analyzed by online database LinkedOmics. The LPCAT4 expression in pancreatic cancer tissues was analyzed online by the University of Alabama at Birmingham Cancer Data Analysis （UALCAN）， Sangerbox and gene expression profile interaction analysis 2 （GEPIA2）. Kaplan-Meier Plotter database was used to explore the correlation between LPCAT4 and the prognosis of patients with pancreatic cancer. The expression of LPCAT4 in human pancreatic cancer cells were detected by quantitative real-time PCR and Western blot analysis. LPCAT4 was knocked down in the high-expressing SW1990 cell line and overexpressed in the low-expressing MIA PaCa-2 cell line. The effects of LPCAT4 expression on cell proliferation were assessed using CCK-8 and EdU assays. STRING and GEPIA2 databases were used to obtain LPCAT4 binding and coexpressed genes in tumors， which were then analyzed by GO and KEGG. ResultsAnalysis of the LinkedOmics online database revealed a significant upregulation of LPCAT4 in patients with KRAS mutant pancreatic cancer compared to patients with KRAS wild-type pancreatic cancer. The online analysis of GEPIA2， UALCAN and Sangerbox 3.0 showed that the expression of LPCAT4 was higher in pancreatic cancer than in normal tissues. Analysis of the Kaplan-Meier Plotter database revealed that high LPCAT4 expression was associated with poorer prognosis in pancreatic cancer patients.Western blot and qPCR results showed that expression of LPCAT4 in pancreatic cancer cell lines was significantly higher than in normal pancreatic ductal epithelial cells. Knockdown of LPCAT4 in SW1990 cells inhibited proliferation， while overexpression in MIA PaCa-2 cells promoted proliferation. Enrichment analysis indicated that LPCAT4 was closely related to sulfur metabolism. ConclusionsLPCAT4 is highly expressed in pancreatic cancer and is associated with poor prognosis of patients. It plays a significant regulatory role in the proliferation of pancreatic cancer cells， with its expression level closely correlated with cell proliferation capacity. These findings reveal the critical role of LPCAT4 in the malignant progression of pancreatic cancer and provide important evidence for its potential as a therapeutic target.

Recently, photodynamic therapy (PDT) has gained considerable attention as a promising therapeutic approach for the treatment of psoriasis. Unfortunately, the activation of high mobility group box 1 protein (HMGB1) by PDT triggers innate and adaptive immune responses, which exacerbate skin inflammation. Herein, we combined glycyrrhizic acid (GA), a natural anti-inflammatory compound and immunomodulator derived from the herb Glycyrrhiza uralensis Fisch., with PDT actuated by the photosensitizer chlorin e6 (Ce6) by co-loading them in GA-based lipid nanoparticles coated with a catechol-modified quaternary chitosan salt (GC NPs/QCS-C). GC NPs/QCS-C exhibited high drug loading efficacy, uniform size distribution, an ideal topical adhesive property, enhanced skin retention and penetration in psoriasis-like lesions, and high intracellular uptake in epidermal cells compared with the counterparts. Subsequently, the transdermal administration of GC NPs/QCS-C followed by near-infrared laser radiation in an imiquimod-induced psoriasis-like mouse model significantly ameliorated psoriasis symptoms, promoted the apoptosis of hyperproliferative epidermal cells, and alleviated the inflammatory cascade. The significant therapeutic outcomes of GC NPs/QCS-C were attributed to the synergistic effects of GA and PDT on modulating immune cell recruitment and inhibiting dendritic cell maturation. Our results demonstrated that the topical bio-adhesive nanosystem that combines GA and Ce6 offers a synergistic chemo-phototherapeutic strategy for psoriasis treatment.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective To construct a predictive model for clinical pregnancy outcomes in frozen-thawed embryo transfer(FET)cycles in women with advanced maternal age(age≥35 years)and to analyze its influencing factors.Methods A retrospective analysis was conducted on the clinical data of 2717 older patients who underwent FET treatment at the First Affiliated Hospital of Kunming Medical University from January 2018 to December 2023.These Patients were divided into a clinical pregnancy group(n=851)and a non-clinical pregnancy group(n=1866)based on whether the clinical pregnancy had occurred.The general characteristics and transplantation details of the two groups were compared,and a logistic regression analysis model was constructed.Results The clinical pregnancy rate(CPR)was 31.32%.The CPR for women aged 35-40 years(40.06%)was higher than that for women aged≥40 years(19.35%),with a statistically significant difference(χ2=133.371,P<0.05).The model results showed that the higher anti-Mullerian hormone(AMH)levels(OR=1.053,95%CI:1.012-1.095),the more high-quality blastocysts were transferred(OR=1.704,95%CI:1.143-2.542;OR=2.861,95%CI:1.921-4.262);the more high-quality blastocysts were transferred(OR=2.033,95%CI:1.077-3.836;OR=3.886,95%CI:2.035-7.420),the thicker the endometrial lining on the day of transfer(OR=1.150,95%CI:1.092-1.212)and it could increase the probability of clinical pregnancy.However,for women over 40 years of age(OR=0.551,95%CI:0.437-0.694)and secondary infertility(OR=0.704,95%CI:0.552-0.896),the probability of clinical pregnancy would be reduced;ROC curve analysis results showed that the AUC for predicting clinical pregnancy occurrence in the training set and validation set of the predictive model were 0.723(95%CI:0.699-0.748)and 0.726(95%CI:0.689-0.764),respectively,with cutoff values of 0.262 and 0.260 and the model fit was good(P>0.05).Conclusion Female age,AMH level,type of infertility,number of high-quality embryos(cleavage embryos,blastocysts)transferred,and endometrial thickness on the day of transfer are important factors affecting FET cycles in advanced maternal age women.The constructed prediction model based on these factors has a certain predictive ability for clinical pregnancy.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

OBJECTIVE: To analyze the clinical manifestations and genotype of a child with You-Hoover-Fong syndrome (YHFS) to enhance clinical understanding of this disease. METHODS: Clinical data of a child who visited the Department of Pediatric Neurorehabilitation of the Women's and Children's Hospital Affiliated to Xiamen University in March 2025 for global developmental delay was collected. Peripheral blood samples of the child and his parents were collected for chromosomal microarray analysis and whole exome sequencing (WES). Sanger sequencing was performed for parental validation, and candidate variant was assessed for pathogenicity. Clinical and genetic analyses were conducted based on the child's phenotype. A literature review was performed by retrieving previously reported cases of YHFS due to TELO2 gene variants. This study was approved by the Medical Ethics Committee of the Women's and Children's Hospital Affiliated to Xiamen University (Ethics No.: KY-2023-044-K02). RESULTS: The child was a 1-year-and-2-month-old male presenting with global developmental delay, encephalodysplasia, congenital heart disease and distinctive facial features. WES revealed that the child has harbored compound heterozygous variants of the TELO2 gene, namely c.1826G>A (p.Arg609His) and c.1514_1515delAG (p.Glu505Alafs21). Sanger sequencing confirmed that his mother carried a heterozygous c.1826G>A variant and his father carried a heterozygous c.1514_1515delAG variant. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were classified as likely pathogenic (PM2_Supproting+PM3_Strong+PP1+PP3; PVS1+PM2_Supproting). Literature review has identified 9 articles reporting 31 cases of YHFS due to TELO2 gene variants, with primary clinical manifestations including developmental delay, intellectual disability, distinctive facial features, and congenital heart disease. CONCLUSION The c.1826G>A (p.Arg609His) and c.1514_1515delAG (p.Glu505Alafs*21) compound heterozygous variants of the TELO2 gene probably underlay the pathogenesis of this child. Above finding has provided a basis for the clinical and genetic diagnosis of the child, which also enriched the mutational spectrum of the TELO2 gene, and improved understanding of YHFS.
Humans ; Male ; Infant ; Heterozygote ; Developmental Disabilities/genetics* ; Female ; Exome Sequencing ; Mutation ; Phenotype ; Abnormalities, Multiple/genetics* ; Child, Preschool

Objective Based on the process theory of stress effect,the structural equation model of the influencing factors of self-regulatory fatigue in maintenance hemodialysis patients is constructed,which provides theoretical bases and references for the formulation of intervention programs to relieve self-regulatory fatigue in patients.Method A total of 420 maintenance hemodialysis patients were surveyed using General Information Questionnaire,Self-Regulatory Fatigue Scale,Dialysis Symptom Index,Life Orientation Test-Revised,Perceived Social Support Scale,Brief Illness Perception Questionnaire and Medical Coping Styles Questionnaire.Results Total score of self-regulatory fatigue in maintenance hemodialysis patients was(49.52±10.93),and self-regulatory fatigue showed significant positive correlation with symptom distress,the illness perception,avoidance coping style,yieldly coping(r=0.476,0.428,0.303,0.611,all P＜0.01);self-regulatory fatigue showed significant negative correlation with perceived social support and dispositional optimism(r=-0.410,-0.652,all P＜0.01);it showed no significant correlation with facing coping(r=-0.032,P＞0.05).The Bootstrap analysis revealed that the mediation effect of yielding coping,dispositional optimism,perceived social support,and illness perception between symptom distress and self-regulatory fatigue was significant(95％CI:0.027～0.203).The overall effect of symptom distress on self-regulatory fatigue was(P＜0.001,95％CI:0.576～0.751);the direct effect was(P＜0.001,95％CI:0.170～0.357);the indirect effect was(P＜0.001,95％CI:0.332～0.485);the mediation effect accounted for 61.1％of the total effect value.Conclusion Maintenance hemodialysis patients have a high degree of self-regulatory fatigue,which needs to be further improved.Medical staff should timely identify and evaluate the symptom distress of patients,focus on guiding patients to adjust optimistic disease,provide patients with psychological guidance and stress coping strategies,reduce the negative coping behavior tendency,guide the patients correctly perceive support and care in social relations,help patients set up the correct disease cognition,thus reducing the patient's self-regulatory fatigue.

Objective:To investigate the clinical characteristics,and diagnostic and curative performance of patients with peptic ulcer disease(PUD)in Lhasa region.Methods:A retrospective analysis was conducted on 237 PUD patients who received diagnosis and treatment at Lhasa People's Hospital between September 2017 and December 2019.The general information of demographics,clinical presentations,treatment and outcomes of patients were investigated and analyzed.Results:In the PUD patients of this region,180 cases were male patients(75.9%),which was more than 57 female patients(24.1%),and 89 cases(37.6%)had smoking history with long term and 70 cases(29.5%)had history of heavy drinking.In the common comorbidities,39 cases(16.5%)were chronic liver disease,24 cases(10.1%)were hypertension,and 8 cases(3.4%)were arthritis(gout).Clinical symptoms presented in 234 PUD patients(98.7%),and the most common symptoms were respectively abdominal pain(200 cases,84.4%),hematemesis or melena(122 cases,51.5%),heartburn(90 cases,38.0%),and abdominal distension(84 cases,35.4%).The number of patients with multiple ulcers was 131 cases(55.3%),which was more than that of patients with single ulcers(106 cases,44.7%).The distribution of ulcer locations,from most to least frequent,was as follows:gastric angle(124 cases,52.3%),gastric body(72 cases,30.4%),antrum(69 cases,29.1%),pylorus(48 cases,20.3%),duodenal bulb(29 cases,12.2%)and gastric fundus(14 cases,5.9%).In the 235 patients whose treatment plans could be tracked,229 cases(97.4%)received standard acid-suppressive therapy and gastric mucosal protectant.In the 237 PUD patients,166 cases received follow-up,and 161 PUD patients provided feedbacks for symptom.The result showed that the symptoms of 158(98.1%)patients were alleviated or disappeared.In the 166 patients who received follow-up,49 cases underwent reexamination of endoscopy,and 11 cases(22.4%)of them appeared recurrence of ulcer.During the period of study,7 patients(4.2%)of 166 patients who received follow-up re-admitted to hospital due to PUD,and 7 patients(4.2%)died,and the main reasons of death involved to gastrointestinal bleeding,gastric cancer,stomach-related diseases,liver cancer,and coronary heart disease.Conclusion:The result of this study provided important information of clinical characteristics of PUD in the Lhasa region.The prognostic research of that is helpful to better understand the epidemiological characteristics and the status of clinical management for PUD in this region.However,this study still need larger sample size and further research to confirm and expand these results.

OBJECTIVE To explore the effectiveness, potential mechanism and compatibility characteristics of efficacy groups of Dunhuang medical prescription Daxiefei decoction in preventing and treating pneumonia based on chemical bioinformatics method. METHODS To study the effect of Daxiefei decoction freeze-dried powder solution on the proliferation activity of lung epithelial cells through cell experiments. Daxiefei decoction was divided into three groups: clearing away heat group, resolving phlegm group, and nourishing Yin group according to its efficacy characteristics. The chemical components of Daxiefei decoction were obtained by TCMSP database and literature search, and the targets were predicted in Swiss Target Prediction database. Pneumonia disease targets were obtained by DrugBank, TTD, Genecards and DisGeNET databases. STRING database and Cytoscape were used to construct the intersection target interaction network and "drug-component-target- pathway" network and DAVID database was used for KEGG pathway enrichment analysis. The network was used to analyze the scientific connotation of the compatibility of efficacy groups. Furthermore, molecular docking was used to evaluate the target-compound affinity and molecular dynamics was used to explore the dynamic molecular mechanism. RESULTS Cell experiments showed that Daxiefei decoction can maintain the proliferation of lung epithelial cells, reverse the decrease of mitochondrial activity induced by LPS and reduce apoptosis. Complex network analysis showed that the pathways enriched by the three functional groups contained in Daxiefei decoction were mainly distributed in two modules: inflammation regulation and reducing airway mucus hypersecretion. Each module was connected by a common target gene and had its own focus. The results of molecular docking showed that the components quercetin, baicalein, isorhamnetin etc. might be the effective multi-target components of Daxiefei decoction. SRC, EGFR, PPARA etc. had good affinity with each potential active component, which might be a potential target of Daxiefei decoction for preventing and treating pneumonia. Molecular dynamics simulation showed that the potential active component quercetin formed stable intermolecular interactions with SRC. CONCLUSION This study initially reveal the material basis and molecular mechanism of Daxiefei decoction in the prevention and treatment of pneumonia. It also explores the scientific connotation of Daxiefei decoction in the prevention and treatment of pneumonia with different efficacy groups, and its modern development and clinical application provide chemical bioinformatics basis.