The inflammatory microenvironment is closely associated with the initiation and progression of osteoarthritis （OA）， specifically manifesting as macrophage activation， dysregulation of inflammatory cytokines， and redox imbalance. Following an overview of the pathological characteristics of the OA inflammatory microenvironment， this paper reviews the research progress on the mechanism of traditional Chinese medicine （TCM） intervening in OA by modulating the inflammatory microenvironment. It has been found that TCM monomers/active ingredients （such as total alkaloids from Strychnos nux-vomica ， quercetin， triptolide， etc.）， herb pairs （e.g. Angelica pubescens - Gentiana macrophylla ， Carthami Flos-Lycopodii Herba）， and TCM formulas （such as Zhuanggu jianxi formula， Duhuo jisheng decoction and Rongjin niantong formula， etc.） can inhibit macrophage activation， reduce the release of proinflammatory cytokines and the generation of reactive oxygen species by inhibiting multiple signaling pathways， including nuclear factor-κB， Wnt/ β -catenin， and mitogen-activated protein kinase， thereby alleviating the articular inflammatory microenvironment， restoring local joint homeostasis， and slowing the progression of OA.

ObjectiveTo identify the pathogen species responsible for the wilt disease of Tetradium ruticarpum in Chongqing， investigate there biological characteristics， and screen effective fungicides， so as to provide a theoretical basis for disease control in production. MethodsThe pathogen was isolated via the tissue culture method. Pathogenicity was verified according to Koch's postulates. The pathogen was identified based on morphological characteristics and multi-gene phylogenetic analysis. The mycelial growth rate method was used for biological characterization of the pathogen and fungicide screening. ResultsThe pathogen colonies were nearly circular with irregular edges， white， short， velvety aerial hyphae， and pale purple undersides. Macroconidia were colorless， sickle-shaped， with 3-5 septa， while microconidia were transparent， elliptical， aseptate or with 1-2 septa. Multi-gene phylogenetic analysis showed that the pathogen clustered in the same clade as Fusarium fujikuroi with 100% support， which， combined with morphological characteristics， identified the pathogen causing wilt of T. ruticarpum in Chongqing as F. fujikuroi. The optimal conditions for the mycelial growth of F. fujikuroi were mung bean agar （MBA） with glucose as the carbon source， beef extract and yeast powder as nitrogen sources， 28 ℃， pH 7.0， and alternating light/dark conditions. The optimal conditions for sporulation were potato dextrose agar （PDA） with glucose as the carbon source， beef extract as the nitrogen source， 28 ℃， pH 7.0， and complete darkness. Among chemical fungicides， phenazine-1-carboxylic acid exhibited the strongest inhibitory effect on F. fujikuroi. Shenqinmycin and tetramycin were the most effective bio-fungicides. ConclusionThis study is the first to report F. fujikuroi as the causal agent of wilt disease in T. rutaecarpa. The chemical fungicide phenazine-1-carboxylic acid and the bio-fungicides shenqinmycin and tetramycin showed strong inhibitory effects against F. fujikuroi.

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.

Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were （0.632-0.641）, （0.660-0.681）, （1.968-1.991）, （2.547-2.580）, and （1.076-1.101） mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.

ObjectiveTo characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics， and to investigate the influence of sweating processing on the constituents of B. balsamifera. MethodsUltra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） metabolomics was used to identify the metabolites in no sweating group（F1）， sweating 2 d group（F2） and sweating 4 d group（F3）， the differences of metabolites between the groups were compared by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， and differential metabolites were screened according to the variable importance in the projection（VIP） value>1 and P<0.05， and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultsThe results of PCA and OPLS-DA showed a clear distinction between the three groups of samples， indicating significant differences in the compositions of the three groups of samples. A total of 433 differential metabolites were screened between the F1 and F2， with 154 up-regulated and 279 down-regulated， the significant up-regulated metabolites were tangeritin， 5-O-demethylnobiletin and so on， while the metabolites with significant down-regulation included alternariol， fortunellin， etc. A total of 379 differential metabolites were screened between the F2 and F3， with 150 up-regulated and 229 down-regulated， the significant up-regulated metabolites were isoimperatorin， helianyl octanoate and so on， and the significant down-regulated metabolites were hovenoside I， goyasaponin Ⅲ， etc. KEGG pathway enrichment analysis showed that tyrosine metabolism， isoquinoline alkaloid biosynthesis， phenylalanine， tyrosine and tryptophan biosynthesis， tryptophan metabolism， valine， leucine and isoleucine biosynthesis， pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B. balsamifera after sweating treatment. ConclusionSweating can reduce the content of endophytic mycotoxins in B. balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin. This study can provide a reference for the process research on the sweating conditions of B. balsamifera.

OBJECTIVE To investigate the improvement effect and potential mechanism of Qingxue xiaozhi jiangtang formula on insulin resistance （IR） in type 2 diabetes mellitus （T2DM） rats. METHODS T2DM rat model was established by intraperitoneal injection of 30 mg/kg streptozotocin combined with high-fat and high-sugar diet. The rats were randomly divided into normal control group， model group， Qingxue xiaozhi jiangtang formula low-dose and high-dose groups （6.525， 13.05 g/kg， calculated by raw material） and metformin group （positive control， 0.18 g/kg）， with 8 rats in each group. Administration groups were given relevant medicine intragastrically； normal control group and model group were given constant volume of normal saline intragastrically， once a day， for consecutive 6 weeks. Body mass and fasting blood glucose （FBG） were determined， and oral glucose tolerance test was conducted. Serum fasting insulin （FINS） level was measured to calculate the insulin resistance index （HOMA-IR） and insulin sensitivity index （ISI）. Additionally， the level of serum lipids， liver function， oxidative stress indicators and inflammatory factors were assessed. The phosphorylation levels of kinase R-like endoplasmic reticulum kinase （PERK） and forkhead box O1 （FOXO1） protein in liver tissue of rats were determined. RESULTS Compared with model group， the body weight， ISI， the levels of high-density lipoprotein cholesterol and superoxide dismutase were increased significantly in Qingxue xiaozhi jiangtang formula high-dose group and metformin group （P＜0.05）； FBG， blood glucose level at 120 minutes of glucose loading， area under the curve of glucose， FINS， HOMA-IR， low-density lipoprotein cholesterol， total cholesterol， triglyceride， alanine transaminase， aspartate transaminase， alkaline phosphatase， malondialdehyde， interleukin-6， tumor necrosis factor-α， and C-reactive protein levels were significantly reduced （P＜ Δ0.05）； the pathological damage of liver tissue had significantlyimproved， and the phosphorylation levels of PERK and FOXO1 proteins in liver tissue were significantly decreased （P＜0.05）. CONCLUSIONS Qingxue xiaozhi jiangtang formula can regulate glucose and lipid metabolism， inflammation factor and oxidative stress levels， and alleviate insulin resistance in T2DM rats. Its mechanism of action may be related to the inhibition of the PERK/FOXO1 signaling pathway.

OBJECTIVE To optimize the simmering technology of Rheum palmatum from Menghe Medical School and compare the difference of chemical components before and after processing. METHODS Using appearance score， the contents of gallic acid， 5-hydroxymethylfurfural （5-HMF）， sennoside A+sennoside B， combined anthraquinone and free anthraquinone as indexes， analytic hierarchy process （AHP）-entropy weight method was used to calculate the comprehensive score of evaluation indicators； the orthogonal experiment was designed to optimize the processing technology of simmering R. palmatum with fire temperature， simmering time， paper layer number and paper wrapping time as factors； validation test was conducted. The changes in the contents of five anthraquinones （aloe-emodin， rhein， emodin， chrysophanol， physcion）， five anthraquinone glycosides （barbaloin， rheinoside， rhubarb glycoside， emodin glycoside， and emodin methyl ether glycoside）， two sennosides （sennoside A， sennoside B）， gallic acid and 5-HMF were compared between simmered R. palmatum prepared by optimized technology and R. palmatum. RESULTS The optimal processing conditions of R. palmatum was as follows: each 80 g R. palmatum was wrapped with a layer of wet paper for 0.5 h， simmered on high heat for 20 min and then simmered at 140 ℃， the total simmering time was 2.5 h. The average comprehensive score of 3 validation tests was 94.10 （RSD＜1.0%）. After simmering， the contents of five anthraquinones and two sennosides were decreased significantly， while those of 5 free anthraquinones and gallic acid were increased to different extents； a new component 5-HMF was formed. CONCLUSIONS This study successfully optimizes the simmering technology of R. palmatum. There is a significant difference in the chemical components before and after processing， which can explain that simmering technology slows down the relase of R. palmatum and beneficiate it.

Mesenchymal stem cells （MSCs） have emerged as a promising cellular therapy for end-stage liver disease （ESLD） due to their robust self-regenerative， paracrine， and immunomodulatory characteristics， providing new directions for the treatment of advanced liver disease. However， the clinical application of MSCs is significantly limited by the fact that only a small number of MSCs can reach the liver due to massive apoptosis or necrosis during the homing process caused by the influence of the complex microenvironment （inflammation， oxidative stress， and hypoxia） of the injured liver and the fact that a substantial proportion of MSCs become trapped in the pulmonary capillaries following intravenous administration with a lack of sufficient homing receptors or adhesion molecules. Various strategies have been developed to optimize the proliferation， migration， and homing abilities of MSCs， including preconditioning， gene modification， and nanoencapsulation technology. This article elaborates on the influencing factors for the homing ability of MSCs， the strategies to optimize their homing in ESLD， and the mechanism of the homing of MSCs， in order to improve cell transplantation efficiency， promote liver repair and regeneration， and pave the way for the application of MSCs in the treatment of ESLD.

Diabetic kidney disease (DKD) is a common microvascular complication of diabetes. "Internal heat leading to zheng" is the core pathogenesis of DKD, while "glucose toxicity" is transformed from subtle substances through "internal heat" and the cementation of various pathological products, which is pivotal to the transformation of diabetes to DKD. "Glucose toxicity" is characterized by deep and widespread heat, caused by various pathological factors, and its sticky nature makes it difficult to resolve, which can cause severe damage to the kidney collaterals. In the early stage of "glucose toxicity", it is yang pathogen, which can be transformed into yin pathogen in the later stage with disease progression. In clinical practice, treatment should be based on disease staging, with attention on grasping the pathogenesis of "internal heat leading to zheng" and identifying the nature of "glucose toxicity". During the diabetic period, clearing heat is the primary method, often using modified Yueju Pill and Dachaihu Decoction. In the early stage of DKD, treatment primarily focuses on clearing and penetrating latent heat to treat DKD, aiming to prevent toxic heat from transitioning from qi to blood. The approach emphasizes clearing heat and re-penetrating, detoxification, and re-clearing, often using a self-made modified Qingre Xiaozheng Decoction. In the middle and late stages of DKD, the focus shifts to clearing heat, eliminating zheng, strengthening vital qi, and dispelling turbidity, with commonly used treatments including the self-made modified Xiezhuo Xiaozheng Formula, Jingui Shenqi Pill, and Zhenwu Decoction.

Diabetic cataract, a prevalent ocular complication of diabetes mellitus, arises from a complex interplay of pathological mechanisms, with oxidative stress and glycation stress playing central roles. Autophagy, a critical cellular self-protection mechanism, sustains intracellular homeostasis by selectively degrading damaged organelles and misfolded proteins, thereby counteracting the detrimental effects of oxidative and glycation stress under hyperglycemic conditions. Emerging evidence indicates a synergistic interaction between glycation stress and oxidative stress, which may exacerbate autophagic dysfunction and accelerate the onset and progression of diabetic cataract. However, the precise molecular mechanisms underlying this relationship remain incompletely understood. This review systematically examines the regulatory role of autophagy inthe pathogenesis of diabetic cataract, with a particular focus on how autophagic impairment influences disease progression under the combined effects of glycation and oxidative stress. By elucidating these mechanisms, the paper aims to provide novel insights into molecular diagnostic approaches and targeted therapeutic strategies for diabetic cataract.