This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Both cathartic colon （CC） and cathartic-dependent constipation （CDC） are caused by the abuse of stimulant laxatives， while their concepts are not completely the same.Starting from the disease name of CC， this article traced the origin and evolution of the concept of CC， summarizes and compared the similarities and differences between CC， CDC， and slow transit constipation （STC）， and called for strict differentiation among the three.Furthermore， this article explored the specific contents of Western medicine clinical subtypes and traditional Chinese medicine （TCM） syndrome differentiation of CDC and delved into the TCM pathogenesis of CDC according to both literature and clinical practice.The relationship between clinical subtypes and TCM syndromes was established， and the syndrome characteristics of CDC of different clinical subtypes and TCM syndromes were summarized.The recommended prescriptions for corresponding syndromes were listed.A systematic CDC diagnosis and treatment approach of "clinical subtypes-syndrome differentiation-syndrome characteristics-recommended prescriptions" was thus formed.Additionally， the paper provides an overview of current research on CDC in both Western medicine and TCM contexts， identifies future research directions， and suggests research pathways for refining and advancing CDC studies.

Macular hole is an age-related disorder defined by a full-thickness defect of the foveal retina and a profound loss of central vision. First described in the mid-19th century, its study has now extended across more than 150 years. Breakthroughs in science and technology—especially the relentless refinement of retinal imaging platforms—have progressively refined our understanding of the disease. Optical coherence tomography(OCT)in particular has revolutionized characterization of the condition. At the same time, the widespread adoption of macular hole surgery has not only driven deeper investigations into pathogenesis and pre-operative assessment but also facilitated the global dissemination of surgical expertise and a marked rise in anatomical success. This review synthesizes the multimodal imaging hallmarks of macular holes and highlights the remaining clinical challenges in the application of OCT technology.

ObjectiveTo reveal the active substances and mechanisms of modified Qing'e formula （MQEF） in delaying skin photoaging by ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry （UPLC-Q-TOF-MS），network pharmacology， and cell experiments. MethodsUPLC-Q-TOF-MS and a literature review were employed to analyze the transdermally absorbed components in mice after the topical application of MQEF. The potential targets of MQEF in treating skin photoaging were retrieved from databases.The compound-potential target network and protein-protein interaction network were constructed to screen the key components and core targets. A photoaging cell model was established by irradiating HaCaT cells with medium-wave ultraviolet B （UVB）. The safe doses of bakuchiol （BAK） and salvianolic acid B （SAB） for treating HaCaT cells and the effects of BAK and SAB on the viability of cells exposed to UVB irradiation were determined by the cell counting kit-8 （CCK-8） method.The reactive oxygen species （ROS） fluorescent probe was used to measure the ROS production in the cells treated with BAK and SAB.The expression levels of genes related to oxidative stress，inflammation，collagen metabolism，and circadian rhythm clock were measured by Real-time PCR. ResultsA total of 24 transdermally absorbed components of MQEF were identified，which acted on 367 potential targets，and 417 targets related to skin photoaging were screened out，among which 47 common targets were predicted as the targets of MQEF in treating skin photoaging. MQEF exerted the anti-photoaging effect via key components such as BAK and SAB，which acted on core proteins such as serine/threonine kinase 1 （Akt1） and mitogen-activated protein kinase 3 （MAPK3） and intervened in core pathways such as the tumor necrosis factor （TNF） and phosphatidylinositol-3-kinase （PI3K）/protein kinase B （Akt） signaling pathways.Compared with the model group，the administration of BAK and SAB increased the survival rate of HaCaT cells （P<0.01），down-regulated the mRNA levels of cyclooxygenase-2 （COX-2），interleukin-6 （IL-6），tumor necrosis factor-α （TNF-α），matrix metalloproteinase-1 （MMP-1），and matrix metalloproteinase-9 （MMP-9） （P<0.01），and up-regulated the mRNA levels of heme oxygenase-1 （HO-1） and NAD（P）H quinone dehydrogenase 1 （NQO-1） （P<0.05，P<0.01） in photoaged HaCaT cells.In addition，it eliminated excess ROS production induced by UVB and up-regulated the mRNA levels of brain and muscle ARNT-like 1 （BMAL1） and circadian locomotor output cycles kaput （CLOCK） associated with circadian clock （P<0.05，P<0.01）. ConclusionMQEF delays skin photoaging through the coordinated effects of various components，multiple targets，and diverse pathways.The key components BAK and SAB in MQEF exhibit anti-photoaging properties，which involve inhibiting oxidative stress，preventing collagen degradation，mitigating inflammation，and maintaining normal skin circadian rhythms by regulating clock gene expression.

BACKGROUND:The granulosa cell state greatly affects the quality of oocytes.As the increased proportion of aged women in assisted reproduction,granulosa cells from patients of different ages are examined at transcript levels in order to better assess oocyte quality. OBJECTIVE:To investigate the expression changes of mRNA and long non-coding RNA in granulosa cells from the young and aged patients. METHODS:Waste cumulus granulosa cells obtained during the assisted reproductive cycle.Young group was in 25-35 years old,and the aged group was in 38-45 years old.Granulosa cells collected from the young and aged females were analyzed using RNA sequencing,three replications for each group. RESULTS AND CONCLUSION:(1)The RNA sequencing analysis results showed that the average sequencing volume of samples was more than 14 G;the data quality Q30 after quality control was more than 93%;the average mapping rate of data was 98.4%,which indicates that the data had good quality.(2)The results of principal component analysis and correlation analysis showed that the samples of the aged group and the young group could be clearly distinguished.(3)The difference analysis results showed that compared with the young group,a total of 410 differentially expressed mRNAs were detected in the aged group(167 up-regulated and 243 down-regulated).GO analysis results showed that the down-regulated genes were mainly enriched in regulatedexocytosis and the emetabolicprocess.GSEA analysis results showed that secretion-related pathways in the aged group were down-regulated.(4)Compared with the young group,662 differentially expressed long non-coding RNAs were detected in the aged group,and 1 772 protein-coding genes were directly regulated by these long non-coding RNAs,among which 59 genes overlaped with differentially expressed genes.The results showed that the expression of secretion-related genes and pathways in granulosa cells of the aged group was down-regulated,thus affecting oocyte quality.At the same time,these down-regulated genes were regulated by long non-coding RNA.Therefore,the expression of long non-coding RNA might be related to age.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

AIM: To assess the impact of optimized pulsed technology(OPT)on the morphological and functional changes of meibomian glands in patients with meibomian gland dysfunction(MGD).METHODS: This prospective case-control study enrolled 60 MGD patients(60 right eyes)treated at Weifang Eye Hospital from September 2023 to February 2024. Patients were categorized into mild, moderate, and severe groups based on the extent of meibomian gland loss, with 20 cases(20 eyes)per group. Treatments consisted of bilateral OPT combined with meibomian gland massages, administered biweekly over four sessions. Ocular surface function indicators including the ocular surface disease index(OSDI), corneal fluorescein staining(CFS), non-invasive average tear break-up time(NIBUTav), and non-invasive tear meniscus height(NITMH), as well as meibomian gland function parameters such as meibomian gland expressibility score(MGES)and meibomian gland secretion score(MGYSS)were observed and recorded before treatment and at 3 mo after final treatment. Cellular-level assessments using in vivo confocal microscopy(IVCM)examined meibomian gland acinar unit density(MGAUD), inflammatory cell density(ICD), meibomian gland acinar longest diameter(MGALD)and meibomian gland acinar shortest diameter(MGASD).RESULTS: At baseline, no significant differences were found in NITMH across groups(P>0.05). Statistical significance were observed in NIBUTav, MGES, MGYSS, MGAUD, MGALD, and MGASD(all P<0.05). Compared to the mild group, the moderate and severe groups showed significant differences in OSDI, CFS, and ICD(all P<0.05), though no significant differences existed between moderate and severe groups(all P>0.05). At 3 mo after treatment, all groups showed no significant differences in NITMH(all P>0.05). All parameters improved significantly in the mild group(all P<0.05); all indicators improved in the moderate group(P>0.05), except for MGASD before and after treatment(all P<0.05); significant improvements were noted in OSDI, CFS, and NIBUTav in the severe group(all P<0.05), while MGES and MGYSS did not differ significantly(all P>0.05). IVCM parameters(MGAUD, ICD, MGALD, and MGASD)showed no significant change in the severe group(all P>0.05).CONCLUSION:OPT effectively enhances various ocular surface functions and improves gland expressibility and secretion quality in mild to moderate MGD cases, while also positively impacting certain cellular parameters. In severe cases, where most acinar functions are lost and structural reversibility is limited, OPT can still mitigate MGD symptoms and decelerate disease progression.

Probiotics are natural systems bridging synthetic biology, physical biotechnology, and immunology, initiating innate and adaptive anti-tumor immune activity. We previously constructed an all-in-one engineered food-grade probiotic Lactococcus lactis (FOLactis) which could boost the crosstalk among different immune cells such as dendritic cells (DCs), natural killer cells, and T cells. Herein, considering the limited clinical efficacy of naked personalized neoantigen peptide vaccines, we decorate FOLactis with tumor antigens by employing a Plug-and-Display system comprising membrane-inserted peptides. Intranodal injection of FOLactis coated with neoantigen peptides (Ag-FOLactis) induces robust DCs presentation and neoantigen-specific cellular immunity. Notably, Ag-FOLactis not only triggers a 45-fold rise in the quantity of locally reactive neoantigen-specific T cells but also induces epitope spreading in both subcutaneous and metastatic tumor-bearing models, leading to potent inhibition of tumor growth. These findings imply that Ag-FOLactis represents a powerful platform to rapidly and easily display antigens, facilitating the development of a bio-activated platform for personalized therapy.

Objective: To investigate the efficacy，safety and feasibility of regional lymph node dissection in laparoscopic radical surgery for bladder cancer under the guidance of indocyanine green fluorescence imaging. Methods: A total of 30 patients with muscle invasive bladder cancer (T2/T3NxM0) who volunteered to enter the clinical trial were randomly divided into the indocyanine green imaging guided laparoscopic regional lymph node dissection group (n=15) and the standard pelvic lymph node dissection group (n=15).The number of positive lymph nodes，operation time，intraoperative bleeding volume，incidence of lymph leakage，and tumor recurrence and metastasis rate 2-year after surgery were collected. Results: The number of positive lymph nodes was (4.20±1.66) and (4.60±1.72) respectively in the indocyanine green and standard groups，with no statistically significant difference (P>0.05).There were no statistically significant difference in the tumor recurrence and metastasis rates 2-year after surgery between the two groups (P>0.05).However，the indocyanine green group had shorter operation time，less intraoperative bleeding volume，and lower incidence of lymphatic leakage than the standard group (P<0.05). Conclusion: Indocyanine green fluorescence imaging guided laparoscopic lymph node dissection has comparable clinical efficacy to standard lymph node dissection，but with fewer complications.

Objective To analyze the underestimated influencing factors of ductal carcinoma in situ(DCIS)detected by ultrasound-guided fine needle aspiration cytology(US-FNAC),and to construct and validate the nomogram prediction model.Methods A total of 105 patients with DCIS diagnosed by US-FNAC in Yixing Hospital of Traditional Chinese Medicine from January 2020 to June 2023 were retrospectively selected.All patients were female and aged 40-76 years.According to postoperative pathological results,they were assigned to underestimated group(n=27)and non-underestimated group(n=78).The clinical data of the patients were collected to analyze the influencing factors of the underestimation of DCIS,and a nomogram prediction model was constructed.The receiver operating characteristic curve(ROC)was drawn,and the area under the curve(AUC)was used to analyze the predictive efficacy of the prediction model for the underestimated risk of DCIS before operation.Results Univariate analysis showed that the proportions of palpable masses,tumor size>2 cm,microcalcification,and breast imaging reporting and data system(BI-RADS)4B-5 in the underestimated group were higher than those in the non-underestimated group(P<0.05).Binary logistic regression analysis showed that tumor size[(odds ratio,OR)=4.453,95%(confidence interval,C I):1.890-10.486],microcalcification(OR=3.079,95%CI:1.650-5.742),BI-RADS classification(OR=5.211,95%CI:2.528-10.740)were the independent risk factors for preoperative underestimation of DCIS(P<0.05).Internal validation of the nomogram prediction model based on the above factors showed that the C-index was 0.865(95%CI:0.785-0.952),and the correction curve for predicting the underestimation of DCIS was close to the ideal curve(P>0.05).ROC curve showed that the nomogram model had a sensitivity of 87.90%,a specificity of 88.60%,and an AUC of 0.895(95%CI:0.823-0.966).Conclusion Tumor size,microcalcification and BI-RADS classification are independent risk factors for preoperative underestimation of DCIS.The nomogram prediction model based on these factors can better evaluate the risk of preoperative underestimation of DCIS.