Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

AIM: To explore the risk factors for postoperative anterior chamber exudation in cataract patients and construct a nomogram prediction model.METHODS: Retrospective study. From July 2019 to October 2024, 450 patients(467 eyes)with age-related cataract who underwent surgery in our hospital were collected as the study subjects. They were randomly grouped into a modeling group(315 cases, 327 eyes)and a validation group(135 cases, 140 eyes)roughly estimated at a 7:3 ratio using the random number table method. Both groups were separated into a non-exudative group and an exudative group based on whether anterior chamber exudation occurred after surgery. Clinical basic data was collected; multivariate Logistic regression was applied to analyze the influencing factors of anterior chamber exudation in patients with age-related cataract after surgery; R software was applied to draw a nomogram prediction model of anterior chamber exudation in patients with age-related cataract after surgery; the calibration curve and Hosmer Lemeshow(H-L)test were applied to evaluate the calibration of the column plot model in predicting the occurrence of anterior chamber exudation in patients with age-related cataract after surgery; ROC was applied to evaluate the efficacy of anterior chamber exudation in patients with age-related cataract after surgery.RESULTS:The clinical characteristics of the modeling group and the validation group were comparable. The high myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens were the influencing factors for postoperative anterior chamber exudation in patients with age-related cataract(all P<0.05). The results of the modeling group verifying the occurrence of anterior chamber exudation in patients with age-related cataract after surgery showed that the area under the ROC curve(AUC)was 0.986(95% CI: 0.966-0.996), the H-L test was χ2=6.494, P=0.592, indicating that the risk of anterior chamber exudation in patients with age-related cataract after surgery predicted by model had good consistency with actual risks, the AUC of postoperative anterior chamber exudation in patients with age-related cataract based on external validation was 0.982(95% CI: 0.960-0.994); and the H-L test suggested that the risk of anterior chamber exudation in CAT patients after surgery predicted by model had good consistency with actual risks(χ2=6.117, P=0.634).CONCLUSION:High myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens are risk factors for postoperative anterior chamber exudation in patients with age-related cataract; the nomogram prediction model constructed based on this has high predictive value, and can provide reference for individualized prevention of anterior chamber exudation in patients with age-related cataract after surgery.

Animal model research on spleen and stomach diseases in traditional Chinese medicine （TCM） is of great significance for elucidating the nature of diseases and syndromes and for revealing the mechanisms of action of Chinese herbal medicinals. At present， studies on classical TCM syndrome models of spleen and stomach diseases mainly focus on spleen deficiency syndrome， liver constraint syndrome， and damp-heat syndrome. Model construction is mostly based on the etiological and pathophysiological characteristics of syndrome， and model evaluation primarily involves macroscopic manifestations and physicochemical indicators. This paper summarizes the current research status of animal models integrating disease and syndrome for seven common spleen and stomach diseases， including chronic gastritis and gastric precancerous lesions， gastroesophageal reflux disease， functional dyspepsia， inflammatory bowel disease， irritable bowel syndrome， functional constipation， and functional diarrhea. The modeling methods and characteristics of disease-syndrome combined animal models for each disease are analyzed. It is proposed that future research on disease-syndrome integration in spleen and stomach diseases should move toward syste-matic， precise， and integrative development， and that interdisciplinary and cross-disciplinary research approaches should be adopted to enhance the predictive value and application efficiency of disease-syndrome combined animal models.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

Background Platelet parameters are important indicators of cardiovascular risk, and environmental pollutants such as polychlorinated biphenyls (PCBs) may impair platelet function through oxidative stress. Objective To investigate the differential effects of single and mixed exposure to PCBs on platelet parameters among individuals with normal glucose tolerance (NGT), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM), and to evaluate the potential modifying role of a healthy lifestyle. Methods This study included 2249 participants (including 707 with NGT, 759 with IFG, and 783 with T2DM). Plasma PCB concentrations were measured using triple quadrupole gaschromatography-tandem mass spectrometry. Generalized linear regression was used to assess the associations between individual PCB congeners and platelet parameters. Quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were used to evaluate the overall effects of PCBs mixture exposure on platelet parameters across different glycemic states, as well as its interaction with healthy lifestyle score (HLS). Results Generalized linear regression analyses showed significant differences in the effects of PCBs on platelet parameters across different glycemic states (P<0.05). After adjusting for confounders, PCBs mixture exposure was significantly associated with lower platelet counts (PLT) in individuals with NGT (b=−10.60, 95%CI: −16.48, −4.71) and IFG (b=−12.91, 95%CI: −18.90, −6.92), whereas no significant association was observed in individuals with T2DM (P=0.051). Mean platelet volume (MPV) and platelet-large cell ratio (P-LCR) increased significantly with higher PCBs exposure levels across all three groups (P<0.05). BKMR analysis showed a positive association between PCBs mixture exposure and P-LCR, with the strongest association observed in the NGT group. Furthermore, a significant interaction was observed between HLS and PCBs mixture exposure, and a higher HLS attenuated the effects of PCBs on P-LCR. Conclusion Glycemic glycemic states may modify the effects of PCBs on platelets. Individuals with NGT appear more sensitive to PCBs exposure, whereas the T2DM state may attenuate this effect. Moreover, healthy lifestyles, including not smoking, moderate alcohol consumption, maintaining moderate-to-high physical activity, a healthy diet, and an appropriate body mass index (BMI), may mitigate the adverse effects of most PCBs on platelet parameters.

ObjectiveTo evaluate the quality of clinical practice guidelines and expert consensus statements on knee osteoarthritis （KOA） based on the Appraisal of Guidelines for Research & Evaluation Ⅱ （AGREE Ⅱ）， thus providing a new perspective for clinical selection as well as guideline development and updating. MethodsA systematic search was conducted for KOA-related guidelines and consensus statements published from November 1， 2019 to December 31， 2025. The databases and platforms searched included CNKI， VIP， Wanfang Data， PubMed， Web of Science， the National Institute for Health and Care Excellence （NICE）， SinoMed， Yimaitong， and relevant official websites. Two researchers independently screened the literature， and four researchers used AGREE Ⅱ to score the included documents and completed the quality appraisal after reaching a unified understanding. Subgroup analyses were further performed according to developing organization， document type， medical approach， funding status， and region of development， and longitudinal comparisons were conducted by year of publication. ResultsA total of 23 guidelines and consensus statements were included. The standardized scores of the six AGREE Ⅱ domains， from the highest to the lowest， were clarity of presentation ［（70.36±8.13）%］， scope and purpose ［（67.46 ± 11.44）%］， editorial independence ［（64.50±20.01）%］， rigor of development ［（62.24±15.26）%］， stakeholder involvement ［（55.73±10.29）%］， and applicability ［（53.89±13.17）%］. In terms of overall recommendation， 6 documents were rated as grade A and 17 as grade B. Stratified analyses showed that professional organizations scored higher than comprehensive organizations. The overall scores of traditional Chinese medicine/integrative medicine and Western medicine guidelines （or consensus statements） were similar. Guidelines scored higher than consensus statements. The overall scores were similar between documents with reported funding and those without reported funding. International guidelines scored higher than domestic guidelines. Longitudinal comparisons showed that the largest number of documents was published in 2021. The overall scores were higher in 2021—2022， and some domain scores declined in 2023—2024. Overall， the quality of recent guidelines and consensus statements for KOA showed slight fluctuations， without a clear linear trend. ConclusionThe included guidelines and consensus statements for KOA can generally serve as references for clinical practice. However， the quality across domains remains uneven， and stakeholder involvement and applicability are still weak domains. Future guideline development and updating should further improve methodological standardization and transparency in reporting.

The NOD-like receptor protein 3(NLRP3)inflammasome is essential in innate immune-mediated inflammation,with its overactivation implicated in various autoinflammatory,metabolic,and neurode-generative diseases.Pharmacological inhibition of NLRP3 offers a promising treatment strategy for in-flammatory conditions,although no medications targeting the NLRP3 inflammasome are currently available.This study demonstrates that clioquinol(CQ),a clinical drug with chelating properties,effec-tively inhibits NLRP3 activation,resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages,with a half maximal inhibitory concentration(IC50)of 0.478 μM.Additionally,CQ mitigates experimental acute peritonitis,gouty arthritis,sepsis,and colitis by lowering serum levels of interleukin-1β(IL-1β),IL-6,and tumor necrosis factor-α(TNF-α).Mechanistically,CQ covalently binds to Arginine 335(R335)in the NACHT domain,inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein.Collectively,this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.

Objective To analyze the efficacy of arsenic-containing TCM compounds in treating high-risk myelodysplastic syndromes(HR-MDS)with spleen-kidney deficiency and toxic stagnation and blood stasis syndrome;To provide references for the clinical treatment of HR-MDS.Methods The medical records of HR-MDS with spleen-kidney deficiency and toxic stagnation and blood stasis syndrome treated with arsenic-containing TCM compounds in Xiyuan Hospital of China Academy of Chinese Medical Sciences from January 2016 to September 2022 were retrospectively analyzed.The patients were divided into arsenic-containing TCM compounds combined with demethylation drugs(HMAs)treatment group and arsenic-containing TCM compounds combined with androgen treatment group.The clinical efficacy of both groups were evaluated,including overall response rate(ORR),median overall survival(OS),1-,2-and 3-year survial rates,median progression free survival(PFS),and 1-,2-and 3-year PFS rates.Results Among 200 cases of HR-MDS,68 cases were treated with arsenic-containing TCM compounds combined with HMAs,and 132 cases were treated with arsenic-containing TCM compounds combined with androgen.The ORR was 30%,and the OS of HR-MDS after treatment was 42 months.The 1-,2-and 3-year survival rates were 78.6%,60.4%and 50.2%respectively.The median PFS was 15 months,and the 1-year,2-year and 3-year PFS rates were 57.8%,28.8%and 18.2%respectively.The ORR of 68 cases HR-MDS treated with arsenic-containing TCM compounds combined with HMAs was 44.1%.After treatment,the median OS of HR-MDS was 42 months,and the survival rates of 1-,2-and 3-years were 84%,75.6%and 61.9%respectively,and the median PFS was 24 months,and the PFS rates of 1-,2-and 3-years were 74.3%,48.5%and 35.2%,respectively.The ORR of 132 cases of HR-MDS treatmented with arsenic-containing TCM compounds combined with androgen was 26.5%,including 33.3%in the high-risk group of HR-MDS and 13.3%in the extremely high-risk group of HR-MDS.There was statistical significance between the two groups(P=0.014).After treatment,the median OS of HR-MDS was 29 months,and the survival rates of 1-,2-and 3 years were 78.6%,54.1%and 45.1%respectively.The median PFS was 13 months,and the PFS rates of 1-,2-and 3 years were 54.1%,28.2%and 12.9%respectively.Conclusion The arsenic-containing TCM compounds combined with HMAs can significantly prolong survival and delay disease progression in HR-MDS.Although the arsenic-based TCM compounds combined with androgen therapy demonstrate inferior efficacy compared to HMAs-based regimens,it has achieved significantly higher OS and PFS than historical controls,serving as an effective alternative for patients intolerant to HMAs.

Objective:To investigate the therapeutic effect and potential mechanism of Nepetoidin B on rheumatoid arthritis (RA).Methods:DBA/1 mice were divided into four groups using the random number method, namely the control group, model group, methotrexate group, and Nepetoidin B group. The collagen-induced arthritis (CIA) model was prepared. Mice were treated from day 21th to day 60th. Arthritis symptoms were evaluated every three days during treatment. At the end of treatment, pathological changes of joint tissue were observed through HE staining. Serum IL-17, IL-6, MDA, and NO levels were measured using ELISA and biochemical colorimetric assays. The Nrf2/HO1 pathway in joint tissues was detected using western blot. A group of CIA mice was treated with Nepetoidin B, followed by an Nrf2 inhibitor to validate the mechanism. One-way analysis of variance was used to compare between multiple groups with homogeneity of variance, pairwise comparison using LSD- t test. Results:The study found that mice treated with methotrexate and Nepetoidin B exhibited a significant reduction in arthritis scores(CIA+Meth group 5.2±1.3, CIA+NepB group 6.8±1.2 vs. CIA group 11.0±1.7, t=6.69, P=0.004; t=5.00, P=0.009), and joint histopathology compared to the CIA mice(CIA+Meth group 1.5±1.0, CIA+NepB group 2.2±0.8 vs. CIA group 4.0±0.9, t=4.44, P<0.001; t=3.84, P=0.005). Additionally, there was a significant decrease in serum IL-17[CIA+Meth group(257±69)ng/ml, CIA+NepB group (279±103)ng/ml vs. CIA group(414±71)ng/ml, t=3.86, P=0.006; t=2.63, P=0.020], IL-6[CIA+Meth group(32±6)ng/ml, CIA+NepB group (44±5)ng/ml vs. CIA group(56±11)ng/ml, t=4.69, P<0.001; t=2.48, P=0.040) ,MDA [CIA+Meth group(22±4)μmol/L, CIA+NepB group(22±8)μmol/L vs. CIA group(34±11)μmol/L, t=2.77, P=0.038; t=2.29, P=0.049]and NO[ CIA+Meth group(37±12)μmol/L, CIA+NepB group(37±11)μmol/L vs. CIA group(56±12)μmol/L, t=2.71, P=0.040; t=2.90, P=0.035] levels, and a significant elevation in the Nrf2( 0.263±0.021, 0.273±0.022 vs. 0.221±0.034, t=3.18, P=0.044; t=2.70, P=0.049)/HO1 (0.524±0.021, 0.501±0.014 vs. 0.453±0.033, t=3.95, P=0.006; t=3.41, P=0.032) pathway in methotrexate and Nepetoidin B treated group. It was also observed that Nrf2 inhibitors could counteract the treatment effects of Nepetoidin B on arthritis (1.8±0.8 vs. 3.2±0.8, t=3.07, P=0.024). Conclusion:Nepetoidin B has the ability to inhibit oxidative stress by activating the Nrf2/HO1 pathway, which alleviates collagen-induced arthritis in mice.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.