ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Olfactory receptors (ORs) form the largest superfamily of G protein-coupled receptors (GPCRs). Traditionally recognized for their role in the nasal olfactory epithelium, where they mediate the sense of smell, accumulating evidence has firmly established their ectopic expression in non-olfactory tissues, including the intestine, lungs, and kidneys. The intestine, as the primary site for nutrient digestion and absorption, harbors a highly complex chemical environment. To adapt to this environment, the gut employs a sophisticated network of “chemosensors” to monitor luminal contents and maintain homeostasis. Among these sensors, intestinal ORs have emerged as crucial functional components, serving as a molecular bridge that connects environmental chemical signals—such as food-derived odorants—to specific physiological responses. This discovery has significantly deepened our understanding of how dietary flavors and compounds influence intestinal physiology at the molecular level. This review systematically summarizes the expression profiles, ligand classification, and biological functions of ORs within the gastrointestinal tract. Studies indicate that intestinal ORs exhibit distinct spatial distribution patterns across different gut segments and display cell-type specificity, particularly within enterocytes and enteroendocrine cells. These receptors function as versatile sensors capable of recognizing a wide variety of ligands, including exogenous dietary components, gut microbiota metabolites such as short-chain fatty acids, and endogenous small molecules like azelaic acid. Upon activation by specific ligands, intestinal ORs trigger intracellular signaling cascades, primarily involving the AC-cAMP-PKA pathway or calcium influx channels. A major focus of this review is to elucidate the molecular mechanisms by which these receptors regulate the secretion of gut hormones. Activation of specific ORs in enteroendocrine cells has been shown to stimulate the release of hormones such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and serotonin (5-HT), thereby modulating systemic energy metabolism, glucose homeostasis, and gastrointestinal motility. Furthermore, the review addresses the critical roles of ORs in immune regulation and pathology. Evidence suggests that specific ORs contribute to the maintenance of intestinal immune homeostasis and may offer protection against inflammation. Beyond their involvement in inflammatory responses, ORs such as Olfr78 have been shown to regulate the differentiation and function of intestinal endocrine cells. Similarly, Olfr544 has been demonstrated to alleviate intestinal inflammation by remodeling the gut microbiome and metabolome. These findings collectively suggest that specific ORs hold promise as therapeutic targets for mitigating intestinal inflammation and maintaining gut homeostasis. Additionally, the review explores the emerging role of ORs in cancer. Although OR expression is often downregulated in tumor tissues compared to normal mucosa, activation of specific ORs by certain ligands can inhibit tumor cell proliferation and migration and induce apoptosis via pathways such as MEK/ERK and p38 MAPK. Conversely, other receptors, such as OR7C1, may serve as biomarkers for cancer-initiating cells. In conclusion, intestinal ORs represent a vital component of the gut’s sensory network. The review also discusses the translational potential of these findings. By elucidating the precise pairing relationships between dietary components and specific ORs, novel therapeutic strategies could be developed. Intestinal ORs may thus emerge as promising targets for nutritional and pharmacological interventions in metabolic diseases, inflammatory bowel diseases, and malignancies.

ObjectiveThis paper aims to investigate the role of NDC80 kinetochore complex component （NUF2） and magnesium homeostasis in ovarian cancer cell apoptosis， as well as the regulatory mechanism of gypenoside L （Gyp-L） on NUF2 and magnesium homeostasis. MethodsOvarian cancer OVCAR3 cells were divided into a blank control group， a low-concentration Gyp-L group （50 µmol·L^-1）， a high-concentration Gyp-L group （100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The migration， proliferation， and apoptosis capabilities of OVCAR3 cells were evaluated through cell scratch assays， clonal experiments， and terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay （TUNEL） staining. Differentially expressed genes of ovarian cancer were screened by using the Gene Expression Omnibus （GEO） database. The interaction relationships of differentially expressed genes and proteins were analyzed via the Search Tool for Recurring Instances of Neighbouring Genes （STRING） database. The prognostic survival analysis was performed by using the Tumor Immune Estimation Resource （TIMER） database， and the differential expression levels of genes were validated with the Gene Expression Profiling Interactive Analysis （GEPIA） database. The mRNA expression levels of NUF2， magnesium homeostasis-related indicators， such as magnesium transporter 1 （MAGT1）， non-imprinted in Prader-Willi/Angelman syndrome 1 （NIPA1）， NIPA-like domain containing 1 （NIPAL1）， as well as apoptosis-related indicators B cell lymphoma-2 （Bcl-2） and Bcl-2-associated X protein （Bax） in OVCAR3 cells， were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of NUF2， MAGT1， NIPA1， NIPAL1， Bcl-2， and Bax in OVCAR3 cells were quantitatively analyzed by ProteinSimple WES. A model of overexpression of NUF2 was constructed， and Gyp-L intervention was performed. The molecular mechanism by which Gyp-L induces ovarian cancer cell apoptosis by regulating NUF2 and influencing magnesium homeostasis was quantitatively analyzed and detected through cell cloning， TUNEL staining， Real-time PCR， and ProteinSimple WES. Finally， the Mg²⁺ content and protein synthesis efficiency were detected by immunofluorescence. ResultsGyp-L significantly inhibited the migration and proliferation capabilities of OVCAR3 cells and promoted their apoptosis （P<0.05）. Overexpression of NUF2 markedly increased the expression levels of MAGT1， NIPA1， NIPAL1， and Bcl-2， while reducing the expression level of Bax （P<0.05）. It also significantly elevated intracellular Mg²⁺ content and protein synthesis efficiency and simultaneously inhibited apoptosis （P<0.05）. Gyp-L could reverse the magnesium homeostasis imbalance and apoptosis inhibition caused by the overexpression of NUF2， downregulating the expression levels of NUF2， MAGT1， NIPA1， NIPAL1， and Bcl-2 （P<0.05）， while upregulating the expression level of Bax （P<0.05）. ConclusionGyp-L can inhibit the occurrence of ovarian cancer， and its mechanism may involve inhibiting the expression of NUF2 to maintain magnesium homeostasis and inducing apoptosis of ovarian cancer cells.

Objective To evaluate the dissolution effects of pediatric ammonium urate stones in solutions with different pH values, so as to provide reference for the clinical treatment of this type of stones. Methods Eight pure ammonium urate stones(ammonium urate content ≥90%)of similar size and mass(median mass 4.6 g)were obtained from 8 children(＜14 years)undergoing percutaneous nephrolithotomy at the People's Hospital of Xinjiang Uygur Autonomous Region. The stones were placed in sodium chloride solutions with pH values of 5.0, 6.0, 7.0, and 8.5 and artificial urine with pH values of 4. 6, 5.0, 7.0, and 8.5 at a constant temperature of 37 ℃. The mass of the stones was recorded before placement and at 24, 48, and 72 h after placement. The dissolution rates of the stones were calculated. Results The pediatric ammonium urate stones could be dissolved in sodium chloride solution, and the total dissolution rate was the highest(94.6%)after 72 hours when the pH value was 6.0. The total dissolution rate of ammonium urate stones in artificial urine after 72 hours were all over 50%, and the total dissolution rate was the highest(79.7%)when the pH value was 4.6. Conclusion Pediatric ammonium urate stones are soluble in sodium chloride solution and artificial urine, and the total dissolution rate is higher in acidic environment.

ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.

ObjectiveTo explore the molecular mechanism by which gypenoside L （Gyp-L） promotes apoptosis and inhibits ovarian cancer （OC） through the FK506-binding protein （FKBP） prolyl isomerase 8 （FKBP8）/B-cell lymphoma-2 （Bcl-2） axis， with the piR-hsa-2804461 pathway as a breakthrough point. MethodsThe effects of different concentrations of Gyp-L and cis-platinum on the proliferation of OVCAR3 cells were determined by the cell count kit-8 method to identify the appropriate intervention concentration for subsequent experiments. OVCAR3 cells were allocated into blank， low-dose Gyp-L （Gyp-L-L， 50 µmol·L^-1）， high-dose Gyp-L （Gyp-L-H， 100 µmol·L^-1）， and cis-platinum （15 µmol·L^-1） groups. The migration， colony formation， and apoptosis of OVCAR3 cells were detected by the cell scratch assay， colony formation assay， and flow cytometry， respectively. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes in OVCAR3 cells were determined by Real-time PCR， and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by simple Western blot. Further， an OVCAR3 cell model with piR-hsa-2804461 knocked out was constructed. The cells were allocated into blank， NC-inhibitor， inhibitor， NC-inhibitor+Gyp-L， and inhibitor+Gyp-L groups. The colony formation of OVCAR3 cells was detected by the colony formation assay. The mRNA levels of piR-hsa-2804461 and FKBP8/Bcl-2 axis-related genes and the expression levels of FKBP8/Bcl-2 axis-related proteins were determined by Real-time PCR and simple Western blotting， respectively. ResultsGyp-L inhibited the migration and proliferation （P<0.01）， promoted the apoptosis （P<0.05）， up-regulated the mRNA level of piR-hsa-2804461 （P<0.05）， and down-regulated the mRNA and protein levels of FKBP8 and Bcl-2 （P<0.05） in OVCAR3 cells. Furthermore， Gyp-L increased the mRNA and protein levels of Bcl-2-associated X protein （Bax）， cysteinyl aspartate-specific proteinase （Caspase）-3， and Caspase-9， which are related to the FKBP8/Bcl-2 axis （P<0.05）. ConclusionGyp-L may promote apoptosis by regulating the piR-hsa-2804461/FKBP8/Bcl-2 axis， thus affecting the occurrence of ovarian cancer.

ObjectiveTo explore the molecular mechanism of gypenoside L （Gyp-L） in the treatment of ovarian cancer （OC） by taking the glycolytic pathway of OC as the key point. MethodsThe proliferation activity of OVCAR3 cells was measured by the cell counting kit-8 （CCK-8） assay to determine the appropriate intervention concentration for subsequent experiments. The cell clone formation assay and the scratch healing assay were employed to assess the proliferation and migration capabilities of OVCAR3 cells. OVCAR3 cells were divided into a blank group， a Gyp-L-L group （low concentration of Gyp-L， 50 µmol·L^-1）， a Gyp-L-H group （high concentration of Gyp-L， 100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The glucose consumption in OC cells was determined using a kit， and the expression levels of related mRNAs in OVCAR3 cells were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expressions of related proteins were detected by Wes automatic Western blot quantitative analysis. ResultsValidated by the cell scratch assay， the scratch healing rate of OVCAR3 cells was decreased after Gyp-L intervention， reflecting that Gyp-L could significantly inhibit the migration of OVCAR3 cells （P<0.05）. According to the clone formation assay， the cell colony formation ability of the Gyp-L-L group， Gyp-L-H group， and cisplatin group was significantly lower than that of the control group （P<0.05）. In OVCAR3 cells， compared with those in the control group， the levels of glucose consumption and lactate generation in the Gyp-L-L group and Gyp-L-H group were significantly reduced （P<0.05）， indicating that Gyp-L could effectively inhibit the glycolysis level of OC cells. Meanwhile， Gyp-L could suppress the expression levels of glucokinase （GCK）， phosphofructokinase liver （PFKL）， signal transducer and activator of transcription 3 （STAT3）， lactate dehydrogenase D （LDHD）， phosphoglycerate mutase 1 （PGAM1）， mRNAs， and proteins related to the glycolytic pathway in OC cells. ConclusionGyp-L may inhibit the occurrence and development of OC by influencing the GCK-mediated glycolytic pathway.

Rheumatoid arthritis （RA） is an autoimmune disease characterized primarily by erosive arthritis， with a high prevalence and disability rate. Although significant progress has been made in the treatment of RA in recent years， challenges such as suboptimal efficacy， drug resistance， severe side effects， and high costs of long-term treatment remain， especially for patients in the early stages of RA， as well as those with RA complications， comorbidities， and severe conditions. Hosted by the China-Japan Friendship Hospital and organized by the Youth Committee of the China Association of Chinese Medicine， the 27^th session of the Clinical Dominant Disease Series （Rheumatoid Arthritis） Youth Salon invited nearly 20 experts and scholars from traditional Chinese medicine （TCM）， western medicine， and interdisciplinary fields to actively discuss the clinical needs of modern medicine and the advantageous stages and aspects of TCM in RA. Experts at the salon agreed that TCM has unique advantages in the treatment of RA， especially during the early stage， periods of low to moderate disease activity， remission phase， and in addressing complications and comorbidities. TCM can achieve both prevention and treatment by regulating the immune system and restoring immune homeostasis. The integrated approach of traditional Chinese and western medicine demonstrates significant advantages in active RA， refractory cases， and stages with severe complications， by rapidly controlling disease progression， alleviating symptoms， enhancing the quality of life， and facilitating recovery. Given the frequent occurrence of multiple comorbidities in RA， TCM shows potential in regulating immunity， alleviating symptoms， and improving physical constitution， which provides new insights into the comprehensive treatment of RA with comorbidities. However， high-quality clinical studies on integrated traditional Chinese and western medicine in RA are still lacking. It is necessary to establish large-scale clinical cohorts and biological databases to provide a scientific basis for the development of precision-targeted therapies and clinical treatment protocols. In the future， individualized treatment strategies integrating traditional Chinese and western medicine are expected to become an important direction for improving the quality of life in RA patients.