Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Liver transplantation (LT) has become a standard treatment for end-stage liver diseases, and graft injury is intricately associated with poor prognosis. Granzyme B (GZMB) plays a vital role in natural killer (NK) cell biology, but whether NK-derived GZMB affects graft injury remains elusive. Through the analysis of single-cell RNA-sequencing data obtained from human LT grafts and the isolation of lymphocytes from mouse livers following ischemia-reperfusion injury (IRI), we demonstrated that 2NK cells with high expression of GZMB are enriched in patients and mice. Both systemically and liver-targeted depletion of NK cells led to a notable reduction in GZMB⁺ cell infiltration, subsequently resulting in diminished graft injury. Notably, the reconstitution of Il2rg ^-/- Rag2 ^-/- mice with purified Gzmb-KO NK cells demonstrated superior outcomes compared to those with wild-type NK cells. Crucially, global knockout of GZMB and pharmacological inhibition exhibited remarkable improvements in liver function in both mouse IRI and rat LT models. Moreover, a phosphorylated derivative of FDA-approved vidarabine was identified as an effective inhibitor of mouse GZMB activity by molecular dynamics, which could provide a potential avenue for therapeutic intervention. Therefore, targeting NK cell-derived GZMB during the LT process suggests potential therapeutic strategies to improve post-transplant outcomes.

OBJECTIVE: The investigation of the correlation between ecological factors and the genetic characteristics or metabolites of plants offers valuable insights into the regional causes of genetic and metabolic diversity. Here, Gastrodia elata, a medicinal plant, is employed as a model to explore the environmental factors that influence its genetic characteristics and metabolic accumulations. METHODS: A total of 23 G. elata populations from six cultispecies and 11 cultivated regions were selected based on the predictions of the global geographic information system. The genetic characteristics of these populations were evaluated using highly polymorphic simple sequence repeat markers. Additionally, the metabolic accumulations and antioxidant capacity of mature tubers were measured employing colorimetry and high performance liquid chromatography (HPLC). Ecological data of each region were obtained from the WorldClim-global climate database and harmonized world soil database. To assess the influence of ecological factors on the genetic characteristics and metabolic profiles of G. elata, Pearson's correlation analysis was conducted. RESULTS: Genetic variation among G. elata populations exceeded that within populations. Genetic diverisity, distance and structure manifested regional and species-specific patterns. Metabolic profiling and antioxidant capacity exhibited regional variations. Notably, the Lueyang region demonstrated that a content range of total polysaccharide, total protein, and phenolic glycosides was 9.34%-189.67% higher than the average. Similarly, in the Hubei region, total phenolic content, p-hydroxybenzyl alcohol content, and antioxidant indicators were observed to be higher than the average levels, by 106.57%, 136.47% and 12.50%-91.14%, respectively. Furthermore, ecological factors had a significant comprehensive impact on G. elata genetic characteristics (r > 0.256 and P < 0.05). Multivariate metabolite accumulations in G. elata were influenced by dominant ecological factors. Temperature notably impacted the accumulation of total protein (|r| > 0.528 and P < 0.05). Moisture, encompassing precipitation and soil content, significantly affected the production of phenolic glycosides (|r| > 0.503 and P < 0.05). CONCLUSION The genetic characteristics of G. elata manifested regional and species-specific patterns, with the metabolic accumulations and antioxidant capacity of mature tubers exhibited regional variations. Specifically, multivariate ecological factors comprehensively influenced genetic characteristics. Temperature and moisture played pivotal roles in regulating the accumulations of proteins and phenolic glycosides, respectively. These findings underscore the significant impact of ecological factors on the shaping of G. elata, highlighting their crucial role in enhancing the quality of Chinese medicinal materials.

G protein-coupled receptors (GPCRs) are the largest family of membrane proteins in eukaryotes, with nearly 800 genes coding for these proteins. They are involved in many physiological processes, such as light perception, taste and smell, neurotransmitter, metabolism, endocrine and exocrine, cell growth and migration. Importantly, GPCRs and their ligands are the targets of approximately one third of all marketed drugs. GPCRs are traditionally known for their role in transmitting signals from the extracellular environment to the cell's interior via the plasma membrane. However, emerging evidence suggests that GPCRs are also localized on mitochondria, where they play critical roles in modulating mitochondrial functions. These mitochondrial GPCRs (mGPCRs) can influence processes such as mitochondrial respiration, apoptosis, and reactive oxygen species (ROS) production. By interacting with mitochondrial signaling pathways, mGPCRs contribute to the regulation of energy metabolism and cell survival. Their presence on mitochondria adds a new layer of complexity to the understanding of cellular signaling, highlighting the organelle's role as not just an energy powerhouse but also a crucial hub for signal transduction. This expanding understanding of mGPCR function on mitochondria opens new avenues for research, particularly in the context of diseases where mitochondrial dysfunction plays a key role. Abnormalities in the phase conductance pathway of GPCRs located on mitochondria are closely associated with the development of systemic diseases such as cardiovascular disease, diabetes, obesity and Alzheimer's disease. In this review, we examined the various types of GPCRs identified on mitochondrial membranes and analyzed the complex relationships between mGPCRs and the pathogenesis of various diseases. We aim to provide a clearer understanding of the emerging significance of mGPCRs in health and disease, and to underscore their potential as therapeutic targets in the treatment of these conditions.

Objective:To investigate the feasibility and safety of implementing a domestic vehicle-mounted remote mobile robotic surgical system in thyroid surgery applications, integrated with 5G communication technology.Methods:Using the main system located on the vehicle-mounted mobile robot operating platform of the 960th Hospital of PLA Joint Logistics Support Force and the slave system of Weifang Traditional Chinese Hospital, the remote radical thyroidectomy 5G communication technology, and analyze the clinical and information transmission data of two female patients who underwent remote mobile robot thyroid cancer surgery on October 21, 2024 at Weifang Traditional Chinese Medicine Hospital.Results:The remote radical thyroidectomy was conducted by the robosurgeons utilizing a vehicle-mounted mobile robotic surgical system, and the procedure was successfully completed without necessitating intermediate open surgery. The operation durations for patient 1 and patient 2 were 135 minutes and 108 minutes, respectively, with 7 and 13 lymph nodes dissected, respectively. The average delay in surgical data transmission was recorded at 61.9 milliseconds, with no instances of signal interruption or frame loss. The procedure proceeded smoothly, without any jamming, and the audio and video transmissions were consistently clear. Follow up for 21 days after surgery showed no complications such as hoarseness, skin damage, or lymphatic fistula.Conclusion:The implementation of a vehicle-mounted remote mobile robotic surgery system for thyroid surgery has demonstrated safety and feasibility. Furthermore, the utilization of the 5G network offers rapid data transmission and minimal latency, closely approximating the therapeutic efficacy of traditional robotic thyroidectomy.

Objective: To explore the effect of interferon regulatory factor 2 binding protein 2 ( IRF2BP2) on the proliferation of acute myeloid leukemia ( AML) cells and its molecular mechanism． Methods: The CRISPR-Cas9 gene editing technology was used to knock out IRF2BP2 in human AML cell lines Kasumi-1 and U937，and West- ern blot was performed to detect the knockout efficiency of IRF2BP2 protein．Cell morphology was observed using a microscope．Cell phenotypes were analyzed by CCK-8 assay，colony formation experiments，and flow cytometry． RNA-Seq was performed to identify differentially expressed genes between the IRF2BP2 knockout group and the control group in the U937 cell line．Gene Set Enrichment Analysis ( GSEA) was conducted to explore the down- stream molecular mechanisms．Western blot was used to detect the expression of downstream differentially expressed genes．The Cleavage Under Targets and Tagmentation ( CUT＆Tag) technique was applied to identify the direct tar- gets of the IRF2BP2 protein，and the corresponding binding signals were visualized using the Integrated Genomics Viewer ( IGV) ． Results: Compared with the control group，after knocking out IRF2BP2，the CCK-8 experiment showed that AML cell proliferation was inhibited ( P ＜0. 05) ; the number of colonies in the IRF2BP2 knockout group decreased ( P＜0. 05) ，and the proportion of G1 phase was prolonged ( P＜0. 05) ; in U937 cell lines，knoc- king out IRF2BP2 resulted in significant enrichment of differential genes in myelocytomatosis oncogene ( MYC) -re- lated signaling pathways，and the protein expression levels of pathway molecules MYC，cyclin-dependent kinase 4 ( CDK4) ，and cyclin － dependent kinase 2 ( CDK2 ) decreased with the downregulation of IRF2BP2; using IRF2BP2 antibodies in U937 cell lines for CUT＆Tag experiments，IGV visualization analysis showed a significant increase in signal peaks in the MYC promoter region． Conclusion IRF2BP2 protein affects the cell cycle and pro- liferation of AML cells by targeting and regulating MYC．

Objective To analyze the influencing factors of poor anal function after laparoscopic intersphincteric resection(Lap-ISR)for extremely low rectal cancer,and to construct and verify a prediction model based on this model,in order to provide guidance for improving the anal function of patients with extremely low rectal cancer after Lap-ISR.Method A total of 127 patients with extremely low rectal cancer who underwent Lap-ISR in Taizhou People's Hospital from June 2020 to June 2022 were retrospectively selected.Patients were followed up for 12 months after surgery,and postoperative anal function was evaluated by the anal incontinence score(Wexner).According to Wexner score,the patients were divided into good anal function group(106 cases)and poor anal function group(21 cases).The clinical data of patients were collected and the risk factors affecting postoperative poor anal dysfunction were analyzed,and a Nomogram model was constructed to predict the risk of postoperative anal dysfunction in patients after Lap-ISR,and the receiver operating characteristic curve(ROC)was drawn.The area under the curve(AUC)was used to analyze the predictive efficacy of the prediction model for poor anal dysfunction after Lap-ISR.Result The incidence of anal dysfunction after Lap-ISR in patients with extremely low rectal cancer was 16.54％(21/127).Univariate analysis showed that there was no significant difference in gender,age,body mass index,clinical stage,combined underlying diseases,operation time,intraoperative blood loss,anastomosis method,and the distance from the lower edge of the tumor to the dentate line between the two groups(P＞0.05).The proportion of tumor diameter≥5 cm,the proportion of neoadjuvant chemotherapy,the distance between anastomosis and anal verge＜2 cm,and the proportion of anastomotic leakage in the anal dysfunction group were higher than those in the good anal function group(P＜0.05).Cox multivariate regression analysis showed that tumor diameter≥5 cm(OR=5.124),neoadjuvant chemotherapy(OR=5.761)and anastomotic leakage(OR=6.881)were risk factors for postoperative anal function(P＜0.05).Wexner score of patients with tumor diameter ≥5 cm was higher than that of patients with tumor diameter＜5 cm,Wexner score of patients with neoadjuvant chemotherapy was higher than that of patients without neoadjuvant chemotherapy,and Wexner score of patients with anastomotic leakage was higher than that of patients without anastomotic leakage(P＜0.05).Internal validation of Bootstrap method showed that the C-index was 0.785(95％CI:0.692-0.851).The results of ROC curve showed that the sensitivity and specificity of the nomogram model in predicting postoperative poor anal function of patients were 85.70％and 88.70％,respectively,and the AUC was 0.895(95％CI:0.795-0.984).Conclusion Tumor diameter,neoadjuvant chemotherapy and anastomotic leakage are risk factors for poor anal function after Lap-ISR in patients with extremely low rectal cancer.The nomogram risk prediction model based on the above risk factors has a good risk efficiency in evaluating the risk of postoperative anal dysfunction in patients.

Objective:To investigate the risk factors for lymph node metastasis in patients with early gastric cancer and establish a model for prediction of risk.Methods:The cohort of this retrospective observational study comprised 1096 patients who had undergone radical gastric cancer surgery combined with standard D1 lymphadenectomy and been diagnosed with early gastric cancer by postoperative pathology in Zhongshan Hospital affiliated with Fudan University from January 2016 to July 2022. The patients were allocated to groups with and without lymph node metastases. Clinicopathological characteristics were compared between the two groups and multi-factor logistic regression analysis used to identify independent risk factors for lymph node metastasis in patients with early gastric cancer. Indications for endoscopic resection in the Japanese Gastric Cancer Association (JGCA) guideline were also incorporated into construction of the model. The patient cohort was divided into training and validation sets in a 6:4 ratio. The identified independent risk factors were used to construct a predictive nomogram. Receiver operating characteristic curves were plotted separately and the difference between them in predictive efficacy was compared using the area under the curve (AUC).Results:A total of 1,096 patients with early gastric cancer were included, with 750 males and 346 females. Their average age was (61.4±10.9) years old, and the mean tumor diameter was (23.8±11.4) mm. Among them, 188 patients (17.2%) had positive lymph node metastasis, with 109 cases in N1 stage, 42 cases in N2 stage, and 37 cases in N3 stage. Additionally, 462 patients were in T1a stage, while 634 patients were in T1b stage. Univariate analysis showed that tumor diameter, location, Lauren classification, gross morphology, histological type, intravascular invasion, ulceration, differentiation type and tumor T stage were associated with lymph node metastasis after radical gastrectomy for early gastric cancer (all P<0.05). Multifactorial analysis showed that the presence of intravascular invasion (OR=14.822, 95%CI: 9.323–23.572, P<0.001), undifferentiated type (OR=3.095, 95%CI: 1.649–5.811, P<0.001), tumor T1b (OR=1.798, 95%CI: 1.053–3.079, P=0.032), and tumor diameter ≥2 cm (OR=1.229, 95%CI: 1.031–1.469, P=0.022) were independent risk factors for lymph node metastasis. The baseline data of the training set and validation set were consistent in terms of balance (all P>0.05). We used the above variables to establish a predictive nomogram for lymph node metastasis in patients with early gastric cancer. The AUC values obtained from the validation of the model in the training and validation sets were 0.880 (95%CI: 0.849–0.911) and 0.881 (95%CI: 0.841–0.921), respectively, and were significantly better than the predictive efficacy based on the JGCA guideline (AUC=0.777, 95%CI: 0.746–0.809, P<0.001). Conclusions:Patients with early gastric cancer and intravascular invasion, undifferentiated tumors, tumor T1b, and diameter ≥2 cm are at higher risk of postoperative lymph node metastasis than other patients. The predictive model developed in this study more accurately predicts lymph node metastasis in patients with early gastric cancer than previously proposed methods.