This paper systematically reviewed the concept of authentication studies on traditional Chinese medicine （TCM） classics and the research achievements of scholars across historical and contemporary periods. We categorized the authentication studies on TCM classics into four types， including work-oriented authentication research， metho-dological studies on authentication， extended authentication research， and single-book authentication. Multiple methods were applied comprehensively， including investigating bibliographic documents of successive dynasties， analyzing the academic contents of medical books， studying the textual characteristics of medical books， examining the cited references in medical books， verifying the biographies of authors， and analyzing the interpolations and accretions in medical books， to distinguish the authenticity of TCM classics. The academic value of authenticity identification of TCM classics is concluded in three aspects，i.e. it serves as an important means to distinguish authenticity from falsehood in TCM classics， an important guarantee for inheriting the essence of TCM literature， and a key to unlocking the academic treasure trove of TCM classics and achieving inheritance-based innovation， which will lay a solid documentary foundation for constructing identification methodologies and standardized systems.

Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

OBJECTIVE To investigate the mechanism by which Shenfukang capsule （SFK） ameliorates renal interstitial fibrosis （RIF） by regulating macrophage-fibroblast crosstalk via the signal transducer and activator of transcription 3 （STAT3）/Yes-associated protein （YAP） pathway. METHODS RAW264.7 macrophages were induced to polarize with transforming growth factor-β 1 （TGF-β 1 ）. Subsequently， a non-contact co-culture system of macrophages with renal fibroblasts NRK-49F， as well as a non-contact co-culture system of macrophages with YAP-knockdown renal fibroblasts， were established. Cells were treated with low， medium， and high concentrations （4， 8， 16 μg/mL） of SFK， as well as a STAT3 inhibitor （STAT3-I，1.64 μg/mL） and losartan potassium tablets （positive control， 0.28 μg/mL）， for 48 h. After intervention， the protein and mRNA expression levels of CD86， CD163， and STAT3 in macrophages， as well as CD86， F4/80， and STAT3 mRNA， were detected. In co-cultured renal fibroblasts， the protein and mRNA expression levels of α -smooth muscle actin （ α -SMA）， Vimentin， collagen type Ⅰ （Col-Ⅰ）， matrix metalloproteinase-1 （MMP-1）， and YAP were detected. In co-cultured YAP-knockdown renal fibroblasts， the protein and mRNA expression levels of α -SMA， Vimentin， and MMP-1 were also detected. RESULTS Following TGF-β 1 induction， the protein expression levels of CD86， CD163， and STAT3， as well as the mRNA expression levels of CD86， F4/80， and STAT3 in macrophages were significantly increased （ P ＜0.05）. The conditioned medium from polarized macrophages activated renal fibroblasts， as evidenced by significantly increased protein and mRNA expression levels of α -SMA， Vimentin， Col-Ⅰ， and YAP， and significantly decreased protein and mRNA expression levels of MMP-1 in renal fibroblasts （ P ＜0.05）. Treatment with SFK and STAT3-I reversed the changes in the above indicators， with the medium concentration SFK group showing stronge r effects on some indicators than the low and high concentration groups. In the non-contact co-culture experiment of macrophages and YAP-knockdown renal fibroblasts， there were no statistically significant differences in the protein and mRNA expression of α-SMA， Vimentin， and MMP-1 among the groups. CONCLUSIONS SFK can inhibit macrophage-renal fibroblast crosstalk by blocking the STAT3/YAP pathway， thereby delaying the progression of RIF.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

Organ damage from cancer treatment remarkably effects patients’ prognosis and quality of life. In recent years, preventive organ protection strategies, such as interdisciplinary collaboration, early prevention, precision interventions, psychological support, and the integrated application of traditional Chinese medicine, have demonstrated substantial clinical value and achieved notable progress. However, these approaches still encounter multiple challenges. Establishing multidisciplinary teams, optimizing therapeutic balance, and strengthening evidence-based research are essential for addressing the challenges related to treatment balance optimization, multidisciplinary coordination, and clinical translation of novel technologies. This review systematically summarizes recent advancements in preventive organ protection, analyzes existing challenges and potential solutions, and offers forward-looking recommendations. It aims to provide valuable insights for optimizing comprehensive cancer treatment strategies and improving long-term patient outcomes.

Objective To investigate the predictive value of combining polygenic risk score(PRS)with the National Institutes of Health Stroke Scale(NIHSS)socre for the development of deep venous thrombosis(DVT)in patients with ischemic stroke.Methods A total of 150 patients with ischemic stroke who were hos-pitalized in Jilin Provincial People's Hospital from December 2023 to May 2024 were selected as study sub-jects.After excluding patients who did not meet the criteria,139 patients were successfully followed up and di-vided into two groups based on whether DVT occurred.PRS strategy and fluorescence in situ hybridization(FISH)technology were used to detect the mutation of the gene loci associated with the risk of venous throm-boembolism(VTE).Based on these genotype data and the effect size of single nucleotide polymorphism(SNP)loci,the PRS score of patients was calculated through the model formula.The degree of neurological impairment was evaluated by NIHSS score.Receiver operating characteristics(ROC)curve was used to ana-lyze the efficacy of PRS score,NIHSS score and their combination in predicting ischemic stroke with lower limb DVT,and clinical data related to VTE formation were collected.Results There were no statistically sig-nificant differences between the two groups in terms of gender,age,body mass index(BMI),smoking,alcohol consumption,hypertension,diabetes,D-dimer(D-D),total cholesterol(TC),triglycerides(TG),and lipopro-tein(a)[(LP(a)]levels(P＞0.05).The PRS score,NIHSS score,and Barthel index in the DVT group were significantly higher than those in the non-DVT group,and the proportion of patients with bed rest exceeding 72 h and homocysteine(Hcy)levels were also relatively higher,with statistical significance(P＜0.05).Logis-tic regression analysis showed that PRS score＞2.55,NIHSS score ≥-3 and Barthel index＜60 were inde-pendent risk factors for lower limb DVT after ischemic stroke(P＜0.05).ROC curve analysis results showed that the area under the curve(AUC)of PRS score,NIHSS score and combined prediction of ischemic stroke combined with lower limb DVT were 0.655,0.747 and 0.763,respectively,and the AUC of combined predic-tion was higher than that of single prediction(P＜0.05).Conclusion PRS score combined with NIHSS score has good predictive efficacy for ischemic stroke complicated with DVT.

The research of damp-heat syndrome in modern TCM mainly focuses on inflammatory response, water metabolism, lipid metabolism, hemorheology, intestinal flora and so on. Modern omics techniques such as metabolomics and genomics provide a new perspective for the exploration of the micro-mechanism of damp-heat syndrome. The study found that the abnormal expression of aquaporin is closely related to the formation of "dampness" in damp-heat syndrome, and the release of inflammatory factors reflects the pathological characteristics of "heat". Damp-heat syndrome is often accompanied by dyslipidemia, hemorheological changes and intestinal flora imbalance, showing characteristic changes in urine, blood and saliva metabolomics, and there are differences in gene expression between damp-heat constitution and gentleness constitution. In the future, the pertinence and systematicness of research should be strengthened, the relationship between indicators should be deeply explored, build a biomarker system should be built, the immune-metabolic regulation mechanism should be explored, the multi-target mechanism of heat-clearing and dampness-removing Chinese materia medica should be clarified to further improve the damp-heat syndrome system, and provide theoretical support for clinical treatment.

Objective To explore the correlation between serum macrophage migration inhibitory factor(MIF),25-hydroxyvitamin D[25(OH)D]and cognitive function in patients with vestibular migraine(VM).Methods A total of 200 patients with VM were selected and used as the VM group.Based on the Montreal Cognitive Assessment(MoCA)criteria,patients were divided into the cognitively normal group(128 cases)and the cognitively impaired group(72 cases).Additionally,200 healthy individuals undergoing routine health examination were selected as the control group.Serum MIF and 25(OH)D levels were measured using enzyme-linked immunosorbent assay.Multivariate Logistic regression was used to analyze influencing factors of cognitive impairment in VM patients.The value of serum MIF and 25(OH)D levels in diagnosing cognitive impairment in patients with VM was analyzed by using the receiver operating characteristic(ROC)curve.Results The serum MIF was higher in the VM group than that of the control group,and serum 25(OH)D was lower in the VM group(P＜0.05).The serum MIF was higher in the cognitive impairment group than that of the cognitive normal group,while the serum 25(OH)D was lower in the cognitive impairment group than that of the cognitive normal group(P＜0.05).Multivariate Logistic regression found that increased serum MIF level and decreased 25(OH)D level were independent risk factors for cognitive impairment in VM patients(P＜0.05).ROC curve analysis showed that the AUC(95%CI)of the combined diagnosis of cognitive impairment in VM patients using serum MIF and 25(OH)D levels was 0.900(0.850-0.938),which was higher than that of MIF diagnosed alone[0.797(0.735-0.851)]and 25(OH)D alone[0.817(0.756-0.868),P＜0.05].Conclusion VM patients with cognitive impairment have elevated serum MIF levels and decreased 25(OH)D levels.The combined diagnostic value of the two markers has a relatively high value for VM patients with cognitive impairment.

Objective:To explore the relationship between general demographic characteristics,inflammatory indicators,nutritional indicators,pathological data and lymph node metastasis in endometrial cancer(EC)pa-tients,and to construct and validate a model for preoperative prediction of lymph node status in endometrial canc-er patients.Methods:The preoperative clinical data of 473 patients with EC who underwent surgical treatment in the Zhu Jiang Hospital of Southern Medical University from January 2010 to April 2024 were retrospectively ana-lyzed.The independent risk factors of lymph node metastasis of endometrial cancer were screened by univariate and multivariate Logistic regression analyses,and the nomogram prediction model was constructed by R soft-ware.The performance of the model was evaluated by the receiver operating characteristic(ROC)curve,calibra-tion curve and clinical decision curve.Results:Menopausal status,high grade biopsy pathology,CA125 ≥24.47U/ml,systemic immune inflammatory index(SII)≥710.91,and prognostic nutritional index(PNI)＜52.90 were in-dependent risk factors for lymph node metastasis in endometrial cancer(OR＞1,P＜0.05).The nomogram model constructed based on these five factors had an AUC of 0.853 in the training set and 0.871 in the test set.The cali-bration curve fitted well,and the clinical decision curve shows a positive benefit.Conclusions:The endometrial cancer lymph node metastasis prediction model constructed based on menopausal status,biopsy pathology,CA125,SII,and PNI has good accuracy and fit,with certain clinical application value.

Objective:To investigate impact of PD-L2 gene knockout on splenic immune phenotype of C57BL/6 mice.Methods:Body weight of female and male wild-type(WT)and PD-L2 gene knockout(KO)mice aged 3～12 weeks were continuously measured.Tissue structure differences in heart,liver,spleen,lung,kidney,thymus,ovary,uterus and testis of four groups of mice were observed by HE staining.Urease UV rate method was employed to measure urea level in mouse serum,and creatinine concentra-tion in serum was determined by creatine oxidase method.Flow cytometry was used to assess proportions of immune cells and cytokine differences in spleens of mice.Results:PD-L2 gene knockout had no apparent effect on body weight or organ structure of mice.Serum urea and creatinine levels were higher in female KO mice compared to WT mice,but no significant differences were observed among males.Female KO mice exhibited reduced proportions of CD4+T cells,CD8+T cells,Treg,NK cells and dendritic cells(DC)in spleen compared to WT mice.Conversely,proportions of Tfh,B cells,plasma cells,na?ve B cells and B2 cells were elevated,proin-flammatory cytokines such as IL-17,IL-6 and IL-22 were increased,while anti-inflammatory cytokines like IL-10 and IL-4 were decreased.Differences among male mice were either not significant or absent.Conclusion:PD-L2 gene knockout primarily affects splenic immune phenotype of female mice,leading to increased inflammatory responses and weakened immune suppression after knockout.