ObjectiveTo investigate the effects of Simiaowan on intestinal barrier function and adenosine triphosphate （ATP） binding cassette transporter G2 （ABCG2） expression in hyperuricemic （HUA） rats， and elucidate its therapeutic mechanisms. MethodsForty male Sprague Dawley （SD） rats were randomized into a normal group， a model group， low-dose （282.6 mg·kg^-1） and high-dose （565.2 mg·kg^-1） Simiaowan groups， and a Benzbromarone （4.7 mg·kg^-1） group. The HUA model was established via intraperitoneal injection of potassium oxonate （ip） combined with oral gavage of hypoxanthine （ig） for 14 days. Following modeling， treatments were administered for 14 days. Samples were collected and weighed 4 h after final dosing. Blood uric acid and hepatic function were analyzed. Histopathological changes were evaluated by hematoxylin-eosin （HE） staining， and Chiu's scoring was conducted. Enzyme-linked immunosorbent assay （ELISA） quantified tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， lipopolysaccharide （LPS）， diamine oxidase （DAO）， and D-lactic acid （D-LA） levels. Real-time polymerase chain reaction （Real-time PCR）， Western blot， and immunohistochemistry assessed the expression of Claudin-1， Occludin， occludens-1 （ZO-1）， and ABCG2 mRNAs and proteins. 16S rDNA amplicon sequencing characterized ileal microbiota. ResultsCompared with the normal group， the model group exhibited epithelial shedding in the ileal villus， structural disruption， infiltration of extensive inflammatory cells， and significantly elevated Chiu's scores （P<0.01）. The DAO， TNF-α， IL-6， IL-1β， LPS， and D-LA levels in the ileum were markedly increased （P<0.01）， while mRNA and protein expressions of Claudin 1， Occludin， ZO-1， and ABCG2， as well as positive staining area and proportion， were significantly reduced （P<0.01）. Compared with the model group， the Simiaowan groups at all doses showed improved epithelial damage in the ileal villus， significantly lowered Chiu's scores （P<0.01）， significantly reduced DAO， TNF-α， IL-6， IL-1β， LPS， and D-LA levels in the ileum （P<0.01）， and upregulated mRNA and protein expressions of Claudin 1， Occludin， ZO-1， and ABCG2， as well as positive staining area and proportion （P<0.01）. The 16S rDNA results showed that in the model group， the α-diversity index of the ileal microbiota was increased， and species diversity and richness were enhanced， with microbiota dysfunction observed. The community structure of the gut microbiota was significantly different from that of the normal microbiota. The abundance of probiotics was decreased， and the abundance of pathogenic bacteria was increased， with butyrate-producing bacteria showing a low abundance. In contrast， Simiaowan at all doses reduced species diversity and richness， regulated microbiota dysfunction， and promoted the shift of the structure of the gut microbiota community towards a normal one. This increased the abundance of beneficial bacteria， decreased the abundance of harmful bacteria， and restored the abundance of butyrate-producing bacteria. ConclusionSimiaowan enhances ileal uric acid excretion and further alleviates HUA by modulating the gut microbiota composition to improve the intestinal barrier and upregulate the expression of the urate transporter ABCG2 in HUA rats.

Objective: To develop a clinical decision and prescription generation system (CDPGS) specifically for diarrhea in traditional Chinese medicine (TCM), utilizing a specialized large language model (LLM), Qwen-TCM-Dia, to standardize diagnostic processes and prescription generation. Methods: Two primary datasets were constructed: an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge, medical records, and chain-of-thought (CoT) reasoning datasets. After an initial evaluation of 16 open-source LLMs across inference time, accuracy, and output quality, Qwen2.5 was selected as the base model due to its superior overall performance. We then employed a two-stage low-rank adaptation (LoRA) fine-tuning strategy, integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records. This approach was designed to embed the clinical logic (symptoms → pathogenesis → therapeutic principles → prescriptions) into the model’s reasoning capabilities. The resulting fine-tuned model, specialized for TCM diarrhea, was designated as Qwen-TCM-Dia. Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy, precision, recall, and F1-score. Furthermore, the quality of the generated prescriptions was compared with that of established open-source TCM LLMs. Results: Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs. It achieved 97.05% accuracy and 91.48% F1-score in disease diagnosis, and 74.54% accuracy and 74.21% F1-score in syndrome type differentiation. Compared with existing open-source TCM LLMs (BianCang, HuangDi, LingDan, TCMLLM-PR, and ZhongJing), Qwen-TCM-Dia exhibited higher fidelity in reconstructing the “symptoms → pathogenesis → therapeutic principles → prescriptions” logic chain. It provided complete prescriptions, whereas other models often omitted dosages or generated mismatched prescriptions. Conclusion By integrating continued pre-training, CoT reasoning, and a two-stage fine-tuning strategy, this study establishes a CDPGS for diarrhea in TCM. The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT. This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

ObjectiveTo investigate the mechanism by which Simiao Wan improve intestinal uric acid excretion in hyperuricemic （HUA） rats by inhibiting ferroptosis via the solute carrier family 7 member 11/glutathione peroxidase 4 （SLC7A11/GPX4） signaling pathway. MethodsForty-eight male SD rats were randomly assigned to a normal group， a model group， a low-dose Simiao Wan group （282.6 mg·kg^-1）， a high-dose Simiao Wan group （565.2 mg·kg^-1）， an etoricoxib group （5.4 mg·kg^-1）， and a ferroptosis inhibitor （Fer-1） group （2 mg·kg^-1）. Except for the normal group， rats in all other groups were intraperitoneally injected with potassium oxonate （100 mg·kg^-1） combined with intragastric administration of hypoxanthine （500 mg·kg^-1） to establish the HUA rat model. After 21 days， rats in each administration group received the corresponding dose of drug by gavage， rats in the Fer-1 group received intraperitoneal injection of Fer-1， and rats in the normal and model groups were given an equal volume of normal saline by gavage. After sampling， serum levels of uric acid （SUA）， creatinine （Cr）， and blood urea nitrogen （BUN） were measured using biochemical assays. The content of ferrous ion （Fe²⁺）， reduced glutathione （GSH）， and malondialdehyde （MDA）， as well as superoxide dismutase （SOD） activity in ileal tissues were determined. Hematoxylin and eosin （HE） staining was performed to observe the histopathological changes in the ileum， and transmission electron microscopy was used to observe mitochondrial alterations in the ileal tissue. Immunohistochemistry （IHC） and Western blot were used to detect the protein expression levels of GPX4， ferritin heavy chain 1 （FTH1）， acyl-CoA synthetase long-chain family member 4 （ACSL4）， SLC7A11， and ATP-binding cassette transporter G2 （ABCG2） in ileal tissue. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to determine the mRNA expression of GPX4， FTH1， ACSL4， SLC7A11， and ABCG2 in the ileal tissue. ResultsCompared with the normal group， the model group exhibited significantly elevated serum UA， Cr， and BUN levels （P<0.01）， significantly increased content of MDA and Fe²⁺ in ileal tissue， and significantly decreased GSH content and SOD activity （P<0.01）. HE staining showed extensive shedding of the ileal villous epithelium， disrupted and disorganized villous structure， and incomplete local tissue architecture. Transmission electron microscopy revealed reduced mitochondrial volume， decreased or even vanished cristae， indicating ultrastructural features characteristic of ferroptosis. Molecular and immunohistochemical results demonstrated that the protein and mRNA expression levels of GPX4， FTH1， SLC7A11， and ABCG2 were significantly downregulated， whereas those of ACSL4 were significantly upregulated （P<0.05， P<0.01）. Compared with the model group， after intervention with Simiao Wan， the serum UA， Cr， and BUN levels significantly decreased in all dose groups （P<0.05，P<0.01）， the MDA and Fe²⁺ content in ileal tissues were significantly reduced （P<0.01）， and the GSH content and SOD activity significantly increased （P<0.01）. HE staining showed that the shedding of ileal villous epithelium was markedly alleviated， the villous structure became relatively intact and regularly arranged， and local tissue damage was obviously improved. Transmission electron microscopy showed attenuated mitochondrial damage， improvement in mitochondrial shrinkage， and partial restoration of mitochondrial cristae. Molecular and immunohistochemical results showed that Simiao Wan upregulated GPX4， FTH1， SLC7A11， and ABCG2， and downregulated ACSL4 in a dose-dependent manner. In the high‑dose group， all indices improved significantly （P<0.05，P<0.01）， whereas in the low‑dose group， only improving trends were observed for FTH1， SLC7A11 mRNA， and ABCG2 protein. ConclusionSimiao Wan may inhibit ferroptosis of ileal epithelial cells by regulating the SLC7A11/GPX4 signaling pathway， and upregulate the expression of the uric acid transporter ABCG2， thereby promoting intestinal uric acid excretion and improving HUA.

Objective To propose a framework for risk assessment and stepwise management of pulmonary nodules based on existing guidelines and key studies, and to clarify the boundaries for triage, workup escalation, and referral in different detection scenarios. Methods A problem-oriented evidence synthesis approach was used, prioritizing Chinese expert consensus, Fleischner Society Guidelines, British Thoracic Society (BTS) Guidelines, and Lung-RADS. This was supplemented by studies on risk models, imaging measurements, liquid biopsy, tissue sampling, and surgical treatments. This paper is not presented as a formal consensus or a validated clinical pathway. Results A three-tiered framework consisting of basic non-invasive assessment, advanced assessment, and invasive diagnosis was established. It specified the applicable populations, boundaries for the use of risk models, imaging review, management of conflicting results, evaluation of histopathological consistency, and post-intervention follow-up. Liquid biopsy, genetic testing, and artificial intelligence were defined as investigational or adjunctive tools. Conclusion This framework can serve as a preliminary reference for multidisciplinary teams in developing local protocols. It cannot replace applicable guidelines, pathological diagnosis, shared decision-making with patients, or real-world validation.

Objective To specifically extract and analyze nascent proteins synthesized by bone marrow mesenchymal stem cells(BMSCs)after transplantation into ischemic hearts using a technique employing mutant methionyl-tRNA synthetase(MetRSL247G)for nascent protein labeling,in order to explore the potential mechanisms of action in BMSCs post-transplantation.Methods Point mutation at position 274 of the MetRS gene in BMSCs was induced via lentiviral infection to enable azidonorleucine(ANL)-mediated labeling of nascent proteins in BMSCs.The labeling efficiency was verified by means of fluorescent non-canonical amino-acid tagging(FUNCAT).Thirty healthy female C57BL/6J mice(8-10 weeks old)were divided into control and experimental groups,with 15 mice in each group.The acute myocardial infarction model was constructed by ligating the left anterior descending coronary artery in experimental group,while control mice underwent only thoracotomy without coronary ligation.After modeling,both groups received intramyocardial injections of MetRSL247G-modified BMSCs(MetRSL247G-BMSCs)at 3 different sites in the peri-infarct ischemic region.Mice were intraperitoneally injected with ANL every 6 hours for 4 times on postoperative days 0,2,and 6(n=5 for each time point)respectively,euthanized 24 h after the last injection,and cardiac tissues were isolated.The newly synthesized and labeled proteins produced by BMSCs after transplantation into the myocardium of experimental and control groups were collected,using an enrichment technique for ANL-tagged proteins and liquid chromatography-tandem mass spectrometry(LC-MS)analysis.Gene ontology(GO)analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis,protein-protein interaction(PPI)analysis,and heatmap visualization analysis were performed to identify differentially expressed proteins at the 3 time points and screen key pathways and genes.Results Under fluorescence microscopy,the MetRSL247G lentivirus-infected BMSCs were observed to be labelled with mCherry signals,confirming the successful construction of the MetRSL247G-BMSCs cell line.Green fluorescent signals were detected only in nascent proteins in culture medium containing both MetRSL247G-BMSCs and ANL,validating the sensitivity and specificity of the labeling method.GO analysis revealed that differentially expressed proteins were primarily involved in basic cellular biological processes such as extracellular exosome formation,extracellular matrix organization,and focal adhesion.KEGG and PPI analyses indicated that the differential proteins were mainly involved in complement and coagulation cascade pathway,actin cytoskeleton regulation pathway,and apoptosis pathway.Heatmap analysis showed significantly upregulated expression of anti-apoptosis and cell adhesion-related factors in experimental group on day 1(P＜0.05),upregulated anti-apoptotic factors,pro-apoptotic factors,and cell adhesion-related factors on day 3(P＜0.05),and upregulated anti-apoptotic factors,cell differentiation-related factors,and cell adhesion-related factors on day 7(P＜0.05)compared with control group.Expression of apoptosis-inducing factor 1 was significantly downregulated on days 1 and 7(P＜0.05).On day 3,most differentially expressed proteins,including anti-apoptosis factors(Protein S100-A11,Clusterin,Gelsolin),pro-apoptosis factor(Cathepsin B),cell differentiation-related factor(Transgelin-2),and cell adhesion-related factors(Cofilin-1,Periostin,Fibronectin)were significantly upregulated(P＜0.05).Conclusions The MetRSL247G mutation enables BMSCs to incorporate ANL and synthesize labeled proteins,confirming the feasibility of this nascent protein labeling technique.Nascent proteins of BMSCs in ischemic myocardium primarily contribute to extracellular exosome secretion and extracellular matrix organization.BMSCs may adapt to and respond to ischemic and hypoxic environments by influencing complement and coagulation cascades,activating inflammatory factors,regulating actin cytoskeleton structure,and modulating apoptosis,thereby maintaining the survival of BMSCs.

The dysregulation of cyclin-dependent kinase 12(CDK12),which may result from genomic alterations or modulation by upstream effectors,is implicated in cancer oncogenesis and progression.CDK12 over-expression or activation is sufficient to induce tumor initiation,recurrence,and therapeutic resistance.However,CDK12 may also exert tumor-suppressive functions in a context-dependent manner.Therefore,caution is warranted when targeting CDK12 in future clinical trials.A comprehensive elucidation of the dual roles and underlying mechanisms of CDK12 in carcinogenesis is urgently needed to advance pre-cision oncology.This review provides an overview of the current understanding of the dysregulation and biological roles of CDK12 in cancer.Subsequently,we systematically summarize the functions and mechanisms of the oncogenic and tumor-suppressive roles of CDK12 in different contexts.Finally,we discuss the potential of CDK12 as a novel therapeutic target and its implications in clinical oncology,offering insights into future directions for innovative cancer treatment strategies.

AIM To study the chemical constituents from the sticks and leaves of Croton cascarilloides Raeusch.and their biological activities.METHODS The 95％ethanol extract from the sticks and leaves of C.cascarilloides was isolated and purified by MCI,silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.LPS-induced NO RAW264.7 cell model induced by LPS was used to evaluate its anti-inflammatory activity in vitro.GES-1 injury model induced by taurocholic acid was used to screen the gastric mucosal protection activity.RESULTS Fourteen compounds were isolated and identified as bullatantriol(1),(-)-boscialin(2),(+)-dehydrovomifoliol(3),3-(hydroxylacetyl)-indole(4),pinoresinol(5),3,7-dimethyl-octa-1,7-diene-3,6-ol(6),(+)-syringaresinol(7),curcasinlignan B(8),cleomiscosin C(9),cleomiscosinD(10),2,6-dimethyl-octa-1,7-dien-3,6-diol(11),vanillin(12),vanillic acid(13),methyl vanillate(14).Compound 4 had certain anti-inflammatory activity,with IC50 values of 73.62 μmol/L.The protective rates of 25 μmol/L compounds 1-4,6,9-12 and 14 on gastric mucosal epithelial cells were 30.07％,34.18％,23.91％,30.92％,17.51％,19.69％,31.76％,22.46％,30.56％and 14.49％,respectively.CONCLUSION Compounds 1-14 are isolated from this plant for the first time.Compound 4 shows anti-inflammatory activity,1-4,6,9-12 and 14 show different degrees of gastric mucosal epithelial cell protective activity.

OBJECTIVE: Acupuncture therapies are known for their effectiveness in treating a variety of gastric diseases, although the mechanisms underlying these effects are not fully understood. This study tested the effectiveness of electroacupuncture (EA) at acupoints Zhongwan (RN12) and Weishu (BL21) for managing gastric motility disorder (GMD) and investigated the underlying mechanisms involved. METHODS: A GMD model was used to evaluate the impact of EA on various aspects of gastric function including the amplitude of gastric motility, electrogastrogram, food intake, and the rate of gastric emptying. Immunofluorescence techniques were used to explore the activation of spinal neurons by EA, specifically examining the presence of cholera toxin B subunit (CTB)-positive neurons and fibers emanating from acupoints RN12 and BL21. The stimulation of γ-aminobutyric acid (GABA)-ergic neurons in the spinal dorsal horn, the inhibition of sympathetic preganglionic neurons in the spinal lateral horn, and their collective effects on the activity of sympathetic nerves were examined. RESULTS: EA at RN12 and BL21 significantly improved gastric motility compromised by GMD. Notably, EA activated spinal neurons, with CTB-positive neurons and fibers from RN12 and BL21 being detectable in both the dorsal root ganglia and the spinal dorsal horn. Further analysis revealed that EA at these acupoints not only stimulated GABAergic neurons in the spinal dorsal horn but also suppressed sympathetic preganglionic neurons in the spinal lateral horn, effectively reducing excessive activity of sympathetic nerves triggered by GMD. CONCLUSION EA treatment at RN12 and BL21 effectively enhances gastric motility in a GMD model. The therapeutic efficacy of this approach is attributed to the activation of spinal neurons and the modulation of the spinal GABAergic-sympathetic pathway, providing a neurobiological foundation for the role of acupuncture in treating gastric disorders. Please cite this article as: Zhang MT, Liang YF, Dai Q, Gao HR, Wang H, Chen L, Huang S, Wang XY, Shen GM. A spinal neural circuit for electroacupuncture that regulates gastric functional disorders. J Integr Med. 2025; 23(1): 56-65.
Electroacupuncture ; Animals ; Male ; Acupuncture Points ; Stomach Diseases/physiopathology* ; Rats, Sprague-Dawley ; Gastrointestinal Motility ; Rats ; Gastric Emptying ; Neurons ; Spinal Cord ; Stomach/physiopathology*