ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective To explore the pathogenesis of Alzheimer's disease by examining the effects of dihydroartemisinin(DHA)on cognitive behavior,hippocampal,cerebral cortex and retinal cell morphology,β-amyloid(Aβ)and autophagy-related proteins in 5×FAD mice.Methods Twenty 5×FAD mice and 5 wild type(WT)mice were selected,all of which were female.The 5×FAD mice were randomly divided into model(M)group,donepezil(D)group,low-dose DHA(DHA-L)group,and high-dose DHA(DHA-H)group.The WT and M groups were not treated,and the D group was given donepezil 0.1 mg/kg per day.DHA-L group and DHA-H group were given 10 mg/kg and 20 mg/kg DHA per day,respectively.Group D,group DHA-L and group DHA-H were given intragastric administration once a day for 3 months.The changes of in cognitive behavior were measured by Morris experiment.HE staining was used to observe the arrangement and morphology of nerve cells in cerebral cortex,hippocampus and retina.The expressions of Aβ protein in cerebral cortex,hippocampus and retina were detected by immunohistochemistry.Western blotting detected the expression of autophagy related proteins(LC3-Ⅰ,LC3-Ⅱ,Beclin-1,P62,β-actin).Results The DHA-H group and the D group exhibited more frequent adoption of both linear and trending exploration routes.Compared to the model group,significant differences in the contents of Aβ in the hippocampal CA1,cerebral cortex S1,and retinal were observed(P＜0.0001)in the other four groups.The analysis also showed significant differences in autophagy-associated proteins between the DHA-L,DHA-H,and model groups(P＜0.01).Conclusion DHA improves cognitive function and increases the number of nerve cells in mice.It also reduces Aβ content in the cerebral cortex,hippocampus,and retina,along with improving autophagy-associated protein deposition in mice.

Objective To explore the value of serum matrix metalloproteinase 7 combined with glutamyl transferase and total bile acids in the diagnosis of biliary atresia.Methods 112 children hospitalized in Kunming Children's Hospital with the cholestatic jaundice from July 2023 to September 2024 were selected as the research subjects.According to the surgical exploration,intraoperative cholangiography,liver biopsy and follow-up,the children were divided into the biliary atresia group(BA)(n=52)and non-biliary atresia group(Non-BA)(n=60)respecvely.The age,gender,serum matrix metalloproteinase 7(MMP-7),glutamyl transferase(GGT),alanine aminative aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TB),direct bilirubin(DB),total bile acid(TBA)and aspartate aminotransferase/platelet index(APRI)were compared between the two groups.Statistically significant indicators were included in receiver operating characteristic curve(ROC)analysis,and the area under the ROC curve(AUC)and optimal diagnostic margin(Youden index)were calculated.Results There was no significant difference in age,ALT,AST,DB,TB and APRI levels between the two groups of patients(P>0.05);There was a difference in gender composition ratio between the two groups(P=0.006);MMP-7,GGT,TBA levels in the BA group were significantly higher than those in the Non-BA group,and the difference was statistically significant(P<0.05);the AUC of MMP-7,GGT,and TBA in diagnosing BA were 0.946(95%CI 0.897～0.996),0.857(95%CI 0.789～0.926),0.654(95%CI 0.552～0.755)respectively;When the cut-off value of MMP-7 was 22.37 ng/ml,the sensitivity and specificity for diagnosing BA were 0.923 and 0.933 respectively;When the cut-off value of GGT was 151.5 U/L,the sensitivity and specificity of diagnosing BA were 0.885 and 0.733 respectively;When the cut-off value of TBA was 119.5 μmol/L,the sensitivity and specificity of diagnosing BA were 0.788 and 0.500,respectively.The AUC of MMP-7+GGT and MMP-7+TBA combined to diagnose BA were 0.971(95%CI 0.946～0.997)and 0.943(95%CI 0.889～0.996)respectively.Conclusion Serum MMP-7 has the good diagnostic value as a single indicator for diagnosing BA;MMP-7 combined with GGT is better than a single indicator for diagnosing BA;MMP-7 combined with TBA cannot improve the diagnostic efficiency.

Premature ovarian insufficiency(POI)is a disease that seriously affects the health and life of women,which is also one of the main causes of female infertility.The incidence of POI is increasing in recent years.The diagnostic criteria of POI are not uniform,and different diagnostic criteria have inconsistent thresholds for various indicators.Strict diagnostic criteria are more conducive to early detection and treatment of POI.At present,complementary and alternative therapies such as traditional Chinese medicine,acupuncture and moxibustion are widely used in the treatment of POI.This article reviewed the recent studies on the complementary and alternative therapy of traditional Chinese medicine in the treatment of POI,and finds that the dialectical treatment of traditional Chinese medicine is based on the perspective of traditional Chinese medicine theory and puts forward corresponding treatment plans for different dialectical types.For example,treatment from the kidney,tonifying kidney filling essence,regulating chongren;Treatment from the liver,soothing the liver,regulating qi,nourishing blood and softening the liver;Treatment from the heart and spleen,nourishing Yangming,tonifying the spleen and nourishing the heart.In terms of acupuncture treatment,regulating menstruation and promoting pregnancy and regulating the conception vessel and toning the governor vessel and toning the kidney are often used to treat POI.In addition,moxibustion regulates body function by stimulating the bladder meridian and conception vessel and governor vessel acupoints.Other methods,such as ear acupoint bean-pressing,acupoint thread-embedding and acupoint injection,have also shown potential in the treatment of POI.This article summarizes the role and characteristics of traditional Chinese medicine in the treatment of POI,in order to provide ideas and basis for clinical treatment of POI.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective:To analyze and validate the reliability and validity of the social skills improvement system-rating scales Chinese version (parent version) (SSIS-RS-C) in middle school students.Method:A total of 1 486 parents of middle school students were recruited according to the cluster sampling method.The social responsiveness scale and strengths and difficulties questionnaire were used as criterion validity tools.A retest was conducted one month later.SPSS 27.0 was used for descriptive statistics, item analysis, internal consistency test, test-retest reliability test and criterion validity test. AMOS 24.0 was used to perform confirmatory factor analysis .Results:Item analysis indicated significant positive correlations between each item and the subscales ( r=0.293-0.782, all P<0.01), with significant differences in scores between high and low groups ( t=10.079-37.038, all P<0.01).Confirmatory factor analysis supported a seven-factor structure for the social skills subscale(communication, cooperation, assertion, responsibility, empathy, engagement and self control) and a five-factor structure for the problem behavior subscale (externalizing, bullying, hyperactivity/inattention, internalizing and autism spectrum) of the SSIS-RS-C.There was a positive correlation between the social skills subscale and prosocial behavior ( r=0.637, P<0.001), and between the problem behavior subscale and social impairments and difficult behaviors ( r=0.765, 0.688, both P<0.001).The Cronbach's α coefficients for the total scale, social skills subscale and problem behavior subscale were 0.934, 0.972 and 0.963, respectively.The test-retest correlation coefficients for the total score and the two subscales were 0.665, 0.871 and 0.598, respectively (all P<0.001). Conclusion:The SSIS-RS-C demonstrated good reliability and validity in the Chinese adolescent population.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To observe the effectiveness and safety of DiaSphere embolized microsphere TACE for treating primary hepatocellular carcinoma(HCC).Methods Totally 188 patients with HCC were prospectively enrolled and randomly assigned to research group(n=93)and control group(n=95),who underwent TACE with DiaSphere embolized microspheres and Embosphere embolized microspheres,respectively.The incidence of TACE-related adverse events were recorded.The therapeutic efficacy 1 month after the first TACE,also 1 and 3 months after the last TACE,and liver functions 1 month after the first and last TACE were compared between groups.Results In research group,there were 69 cases underwent 1 time TACE,22 cases underwent 2 times and 2 cases underwent 3 times TACE,while in control group,there were 82 cases underwent 1 time and 13 cases underwent 2 times TACE,respectively.No statistical difference of the incidence of adverse events was found between groups(77.42%[72/93]vs.76.84%[73/95],P=1.000).One month after the first TACE,7 cases in research group and 11 cases in control group were lost to follow-up,respectively.One month after the last TACE,12 cases were lost to follow-up in both groups,and 3 months after the last TACE,28 cases were lost to follow-up in both groups.No significant difference of objective response rate nor disease control rate was found between groups at the above time points(all P＞0.05).One month after the first and last TACE,liver function indicators were not different between groups(all P＞0.05).Conclusion Both the short-term efficacy and safety of TACE with DiaSphere embolized microspheres for treating HCC were good.

The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans ; Sarcopenia/physiopathology* ; Obesity/physiopathology* ; Aging/physiology* ; Autophagy/physiology* ; Insulin Resistance ; Comorbidity ; Vitamin D/metabolism* ; Gonadal Steroid Hormones/metabolism* ; Gastrointestinal Microbiome ; Mitochondria ; MicroRNAs