Objective To explore factors affecting the postoperative renal function and surgical complications in recipients of living donor kidney transplantation. Methods A retrospective analysis was conducted on medical records of 119 patients who underwent living donor kidney transplantation at Beijing Friendship Hospital Affiliated to Capital Medical University, from January 2020 to September 2024. The severity of surgical complications was evaluated using the Clavien-Dindo score. Spearman correlation analysis was used to analyze the correlation between preoperative general data, surgical data, preoperative laboratory data and the Clavien-Dindo score. Multiple linear regression analysis was performed on the correlated factors. Univariate and multivariate logistic regression analyses were used to analyze the factors affecting the occurrence of delayed graft function (DGF) after surgery. Results The body mass index, history of hypertension, cold ischemia time, the first warm ischemia time, the second warm ischemia time, prothrombin activity and international normalized ratio were all correlated with the Clavien-Dindo score. Multiple linear regression analysis showed that the longer the second warm ischemia time and the first warm ischemia time were, the higher the Clavien-Dindo score was, and the more severe the postoperative surgical complications were (all P<0.05). Multivariate logistic regression analysis showed that long the first warm ischemia time and long dialysis time were independent risk factors for the occurrence of DGF after surgery (all P<0.05). Conclusions Prolonged the second warm ischemia time and the first warm ischemia time may increase the severity of surgical complications in recipients after living donor kidney transplantation. Long the first warm ischemia time and long dialysis time are independent risk factors for the occurrence of DGF after surgery.

ObjectiveThis paper aims to investigate the traditional Chinese medicine syndrome types in patients with chronic hepatitis B （CHB） complicated by metabolic dysfunction-associated fatty liver disease （MAFLD） and explore the correlations between these syndrome types and clinical indicators， as well as ocular manifestation characteristics， thereby providing a reference for syndrome differentiation and treatment strategies in traditional Chinese medicine. MethodsGeneral data， information from the four diagnostic methods of traditional Chinese medicine， clinical indicators， and ocular manifestation data were collected from 506 patients with CHB complicated by MAFLD enrolled at the Public Health Clinical Center of Chengdu between June 2024 and December 2024. Cluster analysis， principal component analysis， and complex network models were employed to identify the distribution patterns of traditional Chinese medicine syndromes. Correlations between different syndrome types and clinical indicators， as well as ocular manifestation characteristics， were further analyzed. ResultsThe predominant syndromes identified in patients with CHB complicated by MAFLD were dampness and heat accumulation （51.58%）， liver depression with spleen deficiency （31.62%）， blood stasis obstructing collaterals （8.89%）， and Qi-Yin deficiency （7.91%）. No statistically significant differences were found among the four syndrome types in routine blood tests and liver function indicators. However， patients with the dampness and heat accumulation type exhibited significantly higher levels of total cholesterol （TC）， triglycerides （TG）， low-density lipoprotein cholesterol （LDL-C）， liver stiffness measurement （LSM）， controlled attenuation parameter （CAP）， and alpha-fetoprotein （AFP）， along with lower levels of high-density lipoprotein cholesterol （HDL-C）， compared with those with other syndrome types. Regarding ocular manifestations， the incidence of moon halo signs was significantly higher in patients with the blood stasis obstructing collaterals type than in those with other syndrome types. Additionally， the incidence in scleral zone 3 （corresponding to the large intestine） was higher in patients with the damp and heat accumulation type. ConclusionDampness and heat accumulation is the core syndrome type in patients with CHB complicated by MAFLD， commonly accompanied by spleen deficiency， liver depression， blood stasis， and Yin deficiency. A complex syndrome pattern characterized by a predominance of dampness and heat， along with a mixture of deficiency and excess， is formed. Different traditional Chinese medicine syndrome types are associated with distinct clinical indicators and ocular manifestation characteristics. Among them， patients with the dampness and heat accumulation type exhibit more pronounced metabolic disturbances and liver injury， whereas those with the blood stasis type show a higher incidence of moon halo signs. Abnormalities in scleral zone 3 are also more prevalent in patients with dampness and heat type.

ObjectiveThis paper aims to investigate the distribution patterns of traditional Chinese medicine syndromes in patients with chronic hepatitis B （CHB） comorbid with metabolically associated fatty liver disease （MAFLD） and analyze their correlation with clinical characteristics and the progression of liver fibrosis. MethodsA cross-sectional study method was employed， and 506 patients with CHB comorbid with MAFLD who attended the Hepatology Outpatient Department of Public Health Clinical Center of Chengdu from June 2024 to December 2024 were enrolled. General information， traditional Chinese medicine syndromes information， laboratory indicators， and imaging examination results were collected using case report forms （CRF）. Tongue images of patients were acquired using a tongue diagnosis instrument， and tongue feature parameters were extracted using computer image processing technology. Frequency analysis， factor analysis， and cluster analysis， and other methods were used to explore syndrome categories and distribution patterns. Non-parametric tests were used to compare the differences in clinical characteristics among different syndromes. Univariate and multivariate logistic regression analyses were performed to investigate the correlation between traditional Chinese medicine syndromes and the progression of liver fibrosis. ResultsThe main traditional Chinese medicine syndromes in patients with CHB comorbid with MAFLD were mainly dominated by damp-heat accumulation syndrome， liver stagnation and spleen deficiency syndrome， and phlegm-blood stasis syndrome， with damp-heat accumulation syndrome accounting for the highest proportion （41.89%）. Compared with those without damp-heat accumulation syndrome， patients with damp-heat accumulation syndrome had significantly lower tongue proper H value， tongue coating H value， and tongue coating a^* value （P<0.05）， significantly higher tongue coating b^* value （P<0.05）， significantly increased levels of white blood cell （WBC）， red blood cell （RBC）， hemoglobin （HGB）， and glucose （GLU）， increased CAP values （P<0.05）， a higher proportion of males （P<0.05）， and a younger age （P<0.05）. Univariate and multivariate logistic regression analyses show that age， hepatitis B surface antigen （HBsAg）， diabetes， and damp-heat accumulation syndrome are independent risk factors for liver fibrosis （P<0.05）， and that damp-heat accumulation syndrome is predominantly distributed in liver fibrosis stage F0-F1. ConclusionDamp-heat accumulation syndrome is a typical syndrome in patients with CHB comorbid with MAFLD， which is significantly associated with enhanced inflammatory response， metabolic disorders， and early liver fibrosis， and is a key link in disease progression. Clinical attention and early intervention are needed.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Objective To investigate the proportion of Th17 cells,Th1-like Th17 cells and FoxP3+Th17 cells in bone marrow of patients with myelodysplastic syndrome(MDS),the expression of interleukin-17A(IL-17A)in bone marrow supernatant and its clinical significance.Methods Forty MDS patients(MDS group)and 18 patients with nutritional anemia(control group)were selected.MDS patients were classified into the low blast(MDS-LB)group(19 cases)and the increased blast(MDS-IB)group(21 cases,including 11 cases of type IB1 and 10 cases of type IB2)based on morphological definition.The MDS patients were scored according to the revised International Prognostic Scoring System(IPSS-R),with 18 cases in the low-risk group(≤4.5)and 22 cases in the high-risk group(>4.5).Flow cytometry was used to detect the proportion of Th17 cells,Th1-like Th17 cells and FoxP3+Th17 cells in bone marrow of the MDS group and the control group.Enzyme-linked immunosorbent assay(ELISA)was used to detect the level of IL-17A in bone marrow supernatant of the above samples.Results The proportion of Th17 cells and the level of IL-17A were higher in patients of the MDS group than those in the control group(P＜0.05).According to the median expression level of IL-17A,the MDS group was divided into the low-expression group(＜13.71 ng/L,20 cases)and the high-expression group(≥13.71 ng/L,20 cases).Compared with the low-expression group,there were higher proportion of patients with blast cells＜5%and low-risk patients(P＜0.05)in the high-expression group.Compared with the IL-17A low-expression group,the IL-17A high-expression group had a higher proportion of patients with blast cells＜5%and relatively low-risk patients(P＜0.05).Compared with the low-risk patients,high-risk patients had a lower proportion of Th17 cells,IL-17A levels and Th1-like Th17 cells,and a higher proportion of FoxP3+Th17 cells(P＜0.05).Compared with the MDS-LB group,the MDS-IB group had a lower proportion of Th17 cells,IL-17A levels and Th1-like Th17 cells,and a higher proportion of FoxP3+Th17 cells(P＜0.05).Conclusion The proportion of Th17 cells and the level of IL-17A are significantly increased in MDS patients.The decreased proportion of Th1-like Th17 cells and the increased proportion of FoxP3+Th17 cells may be related to the increased proportion of blast cells and higher risk stratification in patients.

Objective To analyze the distribution and characteristics of hearing and deafness susceptibility genes in newborns who failed the initial hearing screening,and to explore the association rules for those referred the re-screening.Methods A multicenter retrospective cohort study conducted in 12 339 infants who failed the initial hearing screening in Beijing.Data analysis was conducted on the results of genetic screening for deafness susceptibil-ity genes and the results of the hearing re-screening and diagnosis.The Apriori algorithm was utilized to mine strong association rules related to the failure of the hearing re-screening.Results The detection rate of deafness suscepti-bility gene mutations was 7.14％(881/12 339),withGJB2,SLC26A4,GJB3,and MT-RNR1 being the most fre-quently identified genes.The positive predictive values for initial hearing screening and re-screening referred were 15.93％(1 965/12 339)and 17.87％(226/1 265).Association rule mining revealed that newborns who referred the initial hearing screening in both ears and had twins/multiple births,NICU admission,and deafness gene muta-tion detection had relatively increased risks of 4.47％,9.25％,and 16.72％.Newborns with deafness gene muta-tion detection who referred the initial hearing screening in both ears and female newborns had relatively increased risks of 3.99％and 12.60％who referred the hearing re-screening.Conclusion Newborns who fail the initial hear-ing screening have a relatively high detection rate of deafness susceptibility gene mutations.Those who fail initial bi-lateral hearing screening and have detected deafness gene mutations are at a significantly increased risk of failing the hearing rescreening.

Objective:To investigate lipid metabolism gene mutations and pathogenicity of hypertriglyceridemia acute pancreatitis (HTG-AP) patients.Methods:Clinical data of 495 HTG-AP patients admitted from June 2018 to June 2020 in the center for severe acute pancreatitis of Eastern Theater General Hospital were retrospectively analyzed. Whole-exome sequencing and mutation verification were performed by next-generation sequencing technology and Sanger sequencing. The pathogenicity of gene mutation was analyzed by population mutation ratio, pathogenicity prediction software, conservation scoring software, protein structure prediction, and in vitro experiments. Results:The mutation ratio of lipid metabolism-related genes, namely LPL, APOA5, LMF1, GPIHBP1, and APOC2, were 14.81%, 55.78%, 43.61%, 1.62%, and 0.61%, respectively. Among them, 44 heterozygous mutations in LPL gene were detected including 36 missense mutations, 5 nonsense mutations and 3 frameshift mutations, which were all rarely carried in single patient. Six HTG-AP patients carried the LPL gene heterozygous mutation c.835C>G (p.Leu279Val). The mean level of serum triglyceride at the onset of HTG-AP was 27.4 mmol/L. All of them had a history of recurrent HTG-AP, and most of them had severe acute pancreatitis. The serum LPL concentration and activity were lower than the normal level. The pathogenicity analysis results suggested that the LPL p.Leu279Val was a rare, highly possible pathogenic and highly conserved gene mutation. The in vitro results showed that the LPL p.Leu279Val could significantly reduce the synthesis and secretion ability of LPL as well as its enzymatic activity. Conclusions:The mutation ratio of lipid metabolism-related genes, including LPL, APOA5, LMF1, GPIHBP1, and APOC2, are relatively high in the HTG-AP patients. The LPL p.Leu279Val is a rare and highly possible pathogenic gene mutation, which may lead to recurrent episodes of HTG-AP.

Objective To analyze the distribution and characteristics of hearing and deafness susceptibility genes in newborns who failed the initial hearing screening,and to explore the association rules for those referred the re-screening.Methods A multicenter retrospective cohort study conducted in 12 339 infants who failed the initial hearing screening in Beijing.Data analysis was conducted on the results of genetic screening for deafness susceptibil-ity genes and the results of the hearing re-screening and diagnosis.The Apriori algorithm was utilized to mine strong association rules related to the failure of the hearing re-screening.Results The detection rate of deafness suscepti-bility gene mutations was 7.14％(881/12 339),withGJB2,SLC26A4,GJB3,and MT-RNR1 being the most fre-quently identified genes.The positive predictive values for initial hearing screening and re-screening referred were 15.93％(1 965/12 339)and 17.87％(226/1 265).Association rule mining revealed that newborns who referred the initial hearing screening in both ears and had twins/multiple births,NICU admission,and deafness gene muta-tion detection had relatively increased risks of 4.47％,9.25％,and 16.72％.Newborns with deafness gene muta-tion detection who referred the initial hearing screening in both ears and female newborns had relatively increased risks of 3.99％and 12.60％who referred the hearing re-screening.Conclusion Newborns who fail the initial hear-ing screening have a relatively high detection rate of deafness susceptibility gene mutations.Those who fail initial bi-lateral hearing screening and have detected deafness gene mutations are at a significantly increased risk of failing the hearing rescreening.

Objective To investigate the proportion of Th17 cells,Th1-like Th17 cells and FoxP3+Th17 cells in bone marrow of patients with myelodysplastic syndrome(MDS),the expression of interleukin-17A(IL-17A)in bone marrow supernatant and its clinical significance.Methods Forty MDS patients(MDS group)and 18 patients with nutritional anemia(control group)were selected.MDS patients were classified into the low blast(MDS-LB)group(19 cases)and the increased blast(MDS-IB)group(21 cases,including 11 cases of type IB1 and 10 cases of type IB2)based on morphological definition.The MDS patients were scored according to the revised International Prognostic Scoring System(IPSS-R),with 18 cases in the low-risk group(≤4.5)and 22 cases in the high-risk group(>4.5).Flow cytometry was used to detect the proportion of Th17 cells,Th1-like Th17 cells and FoxP3+Th17 cells in bone marrow of the MDS group and the control group.Enzyme-linked immunosorbent assay(ELISA)was used to detect the level of IL-17A in bone marrow supernatant of the above samples.Results The proportion of Th17 cells and the level of IL-17A were higher in patients of the MDS group than those in the control group(P＜0.05).According to the median expression level of IL-17A,the MDS group was divided into the low-expression group(＜13.71 ng/L,20 cases)and the high-expression group(≥13.71 ng/L,20 cases).Compared with the low-expression group,there were higher proportion of patients with blast cells＜5%and low-risk patients(P＜0.05)in the high-expression group.Compared with the IL-17A low-expression group,the IL-17A high-expression group had a higher proportion of patients with blast cells＜5%and relatively low-risk patients(P＜0.05).Compared with the low-risk patients,high-risk patients had a lower proportion of Th17 cells,IL-17A levels and Th1-like Th17 cells,and a higher proportion of FoxP3+Th17 cells(P＜0.05).Compared with the MDS-LB group,the MDS-IB group had a lower proportion of Th17 cells,IL-17A levels and Th1-like Th17 cells,and a higher proportion of FoxP3+Th17 cells(P＜0.05).Conclusion The proportion of Th17 cells and the level of IL-17A are significantly increased in MDS patients.The decreased proportion of Th1-like Th17 cells and the increased proportion of FoxP3+Th17 cells may be related to the increased proportion of blast cells and higher risk stratification in patients.

ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.