ObjectiveTo investigate the efficacy of Xingpi capsules （XPC） in treating diarrhea-predominant irritable bowel syndrome （IBS-D） with spleen deficiency and elucidate its potential molecular mechanisms. MethodsA rat model of IBS-D with spleen deficiency was established by administering senna leaf in combination with restrained stress and swimming fatigue for 14 d. Ten specific pathogen free （SPF）-grade healthy rats were used as the normal control group. After successful modeling， SPF-grade rats were randomly divided into a model group， a pinaverium bromide group （1.5 mg·kg^-1）， and low- and high-dose XPC groups （0.135 and 0.54 g·kg^-1）， with 10 rats in each group. Rats in the normal control group and the model group were given distilled water by gavage， while the remaining groups were administered corresponding drug solutions by gavage once a day for 14 consecutive days. The rat body weights and fecal condition were observed every day， and the Bristol score was recorded. Enzyme-linked immunosorbent assay （ELISA） was used to determine the levels of 5-hydroxytryptamine （5-HT） in serum and colon tissue. Transmission electron microscopy was used to observe the microvilli and tight junctions in the colon. The integrity of the colonic barrier， intestinal motility， and expression of related pathway proteins were evaluated by hematoxylin-eosin （HE） staining， immunohistochemistry， and Western blot. ResultsCompared with those in the normal control group， rats in the model group showed a significantly decreased body weight and increased diarrhea rate， diarrhea grade， and Bristol score （P<0.01）. HE staining revealed incomplete colonic mucosa in the model group， with evident congestion and edema observed. Electron microscopy results indicated decreased density and integrity of the colonic barrier， shedding and disappearance of microvilli， and significant widening of tight junctions. The expression levels of colonic tight junction proteins Occludin and Claudin-5 were downregulated （P<0.01）， and the levels of 5-HT in serum and colon tissue were elevated （P<0.01）. The small intestine propulsion rate significantly increased （P<0.01）， and the expression of contractile proteins Ras homolog family member A （RhoA） and Rho-associated coiled-coil containing protein kinase 2 （ROCK2） in colon and phosphorylation of myosin light chain （MLC₂₀） were upregulated （P<0.01）. Compared with the model group， the treatment groups showed alleviated diarrhea， diarrhea-associated symptoms， and pathological manifestations of colon tissue to varying degrees. Specifically， high-dose XPC exhibited effectively relieved diarrhea， promoted recovery of colonic mucosal structure， significantly reduced congestion and edema， upregulated expression of Occludin and Claudin-5 （P<0.01）， decreased levels of 5-HT in serum and colon tissue （P<0.05，P<0.01）， significantly slowed small intestine propulsion rate （P<0.01）， and significantly downregulated expression of contractile proteins RhoA and ROCK2 in colon and phosphorylation of MLC₂₀ （P<0.05，P<0.01）. ConclusionXPC effectively alleviates symptoms of spleen deficiency and diarrhea and regulates the secretion of brain-gut peptide. The characteristics of XPC are mainly manifested in alleviating IBS-D with spleen deficiency from the aspects of protecting intestinal mucosa and inhibiting smooth muscle contraction， and the mechanism is closely related to the regulation of the 5-HT-RhoA/ROCK2 pathway expression.

Objective To investigate the predictive value of preoperative combined detection of neutrophil-to-lymphocyte ratio (NLR) and prothrombin time-international normalized ratio to albumin ratio (PTAR) for early abdominal infection after liver transplantation. Methods Clinical data of 287 recipients who underwent liver transplantation at the Liver Transplant Center of Beijing Friendship Hospital, Affiliated to Capital Medical University, from January 2020 to April 2024 were retrospectively analyzed. The patients were divided into infection group (n=60) and non-infection group (n=227) based on whether abdominal infection occurred within 30 days after surgery. The distribution characteristics of pathogens and infection time in infected patients were analyzed. Spearman correlation analysis was used to assess the correlation between NLR, PTAR, Child-Pugh score and preoperative model for end-stage liver disease (MELD) score. Univariate and multivariate logistic regression analyses were performed to identify risk factors for abdominal infection. Receiver operating characteristic (ROC) curves were plotted for NLR, PTAR, and the combined prediction model to evaluate their predictive efficacy for abdominal infection after liver transplantation. Based on the cutoff value of the combined model, recipients were divided into low-risk and high-risk groups, and Kaplan-Meier analysis was used to compare the cumulative incidence of abdominal infection within 30 days after surgery between the two groups. Results Among the 287 recipients who underwent liver transplantation, 60 developed bacterial or fungal abdominal infections postoperatively. A total of 86 strains were isolated from infected patients, with Gram-negative bacteria accounting for 58%, Gram-positive bacteria for 36%, and fungi for 5%. Preoperative NLR and PTAR were positively correlated with Child-Pugh and MELD scores (all 1 > r > 0, P < 0.05). Logistic regression analysis showed that preoperative NLR, preoperative PTAR, postoperative ICU stay duration and postoperative biliary leakage were risk factors for abdominal infection within 30 days after surgery. The area under the curve (AUC) for NLR, PTAR, Child-Pugh score and MELD score were 0.771, 0.735, 0.650 and 0.741, respectively. The AUC for the combined NLR and PTAR prediction model was 0.824 (95% confidence interval: 0.763-0.885, P < 0.001), with a cutoff value of 0.168. Kaplan-Meier analysis showed that the cumulative incidence of abdominal infection within 30 days after surgery was lower in the low-risk group than in the high-risk group, with statistically significant difference (P < 0.001). Conclusions Preoperative NLR and PTAR are independent risk factors for abdominal infection within 30 days after liver transplantation. The combined prediction model of NLR and PTAR may effectively identify high-risk recipients for early abdominal infection after liver transplantation, providing basis for early intervention.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

Objective:To retrospectively analyze the current status of consultation, clinical characteristics, and treatment status of patients with IgG4-related disease (IgG4-RD) in order to provide assistance and a basis for early and standardized diagnosis and treatment.Methods:IgG4-RD cases admitted to our hospital from June 2015 to October 2023 were collected. The details of patients' basic information, initial symptoms, department visits, laboratory and imaging findings, histopathological examination results, and treatment plans were recorded. A statistical descriptive analysis was performed on the data.Results:A total of 105 patients with IgG4-RD were included, with a median age of 59.0 (18.0, 78.0) years. The main departments visited were clinical immunology and gastroenterology (83.8%, 88/105). The median diagnostic duration was eight months, with a maximum of 300 months, and 33.3% (35/105) of patients needed over one year for diagnosis. 92 cases underwent histopathological examinations and IgG4 staining, with a total positivity rate of 87.0% (80/92). Among these, sixteen cases underwent pathological examination after surgery, with a positivity rate of 100%; the remaining 76 cases out of 92 underwent liver biopsy, with a positivity rate of 76.1%. Out of these, there were 22 cases from the pancreas, 21 from the submaxillary gland, nine from the labial gland, and seven each from the duodenal papilla and liver, with positivity rates of 81.8%, 81.0%, 55.6%, 85.7%, and 85.7%, respectively. Eleven cases (10.5%) with normal serum IgG4 were diagnosed based on multi-organ involvement and pathological results. 94 cases (89.5%) had elevated IgG4, with a predominance of＞2.70 g/L. The median follow-up period for the 87 cases was 14 months. Two cases had poor response, twelve patients relapsed, five cases relapsed without combined drug treatment after surgery, five cases relapsed due to drug withdrawal, and two cases relapsed while tapering off steroids.Conclusions:As a multisystem disease, IgG4-RD still faces the difficulties of time-consuming diagnosis and inappropriate treatment. Therefore, it is necessary to rely on a multidisciplinary collaboration model to improve the awareness level and promote the early and standardized diagnosis and treatment of patients with IgG4-RD.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.