Objective To establish the characteristic atlas of Shexiang Jiegu Capsule and determine the contents of seven active components （hydroxysafflor Yellow A, paeoniflorin, ferulic acid, naringin, ligustilide, catechin, epicatechin）. Methods Octadecyl silane bonded silica gel was used as the filling agent, the mobile phase was composed of methanol-0.05% phosphoric acid by gradient elution, the detection wavelength was 245 nm, flow rate was 1.0 ml/min, column temperature was 30℃. The similarity of the fifteen batches of sample was evaluated in line with the TCM Chromatographic Fingerprint （2012 edition）, and the contents of seven active components were determined. Results The HPLC fingerprint of Shexiang Jiegu Capsules was established. The similarity of fingerprint between fifteen batches of samples and control fingerprint was between 0.893 and 0.992. The results of methodological investigation for the determination of seven active components in fifteen batches of samples all met the requirements. Conclusion The established characteristic atlas of Shexiang Jiegu Capsules had high specificity and good repeatability, which could provide scientific basis for quality control of Shexiang Jiegu Capsules.

ObjectiveTo clarify the repair effect of Mume Fructus on the intestinal mucosal epithelial barrier in the mouse model of inflammatory bowel disease （IBD） and explore the repair mechanism. MethodsThirty-six male C57BL/6 mice were randomly assigned into six groups： normal， model， low-， medium-， and high-dose （200， 400， and 800 mg·kg^-1） Mume Fructus， and sulfasalazine （300 mg·kg^-1）. Except the normal group， the rest groups had free access to 2% dextran sulfate sodium （DSS） solution for seven days to establish the IBD model， followed by a seven-day drug intervention. The body weight change and disease activity index （DAI） were recorded. After the last administration， spleen and colon tissue samples were collected to analyze the differences in colon length and spleen index. Hematoxylin-eosin staining was used to observe the morphology of the colon tissue. The level of diamine oxidase （DAO） in the serum was measured by the DAO assay kit. Immunohistochemistry was employed to determine the expression of tight junction proteins such as Claudin-1， Occludin， and zonula occludens-1 （ZO-1） in the colon tissue. Real-time PCR was performed to measure the mRNA levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the colon tissue. Finally， Western blot was employed to determine the protein levels of mitogen-activated protein kinase kinase （MEK）， extracellular signal-regulated kinase （ERK）， phosphorylated （p）-MEK， and phosphorylated ERK in the colon tissue. ResultsCompared with the normal group， the model group exhibited decreases in body weight and colon length （P<0.01）， increases in DAI， spleen index， and serum DAO level （P<0.01）， damaged colonic epithelium and goblet cells， and obvious infiltration of inflammatory cells. In addition， the model group exhibited higher positive expression of Claudin-1， Occludin， and ZO-1 （P<0.01）， higher mRNA levels of TNF-α and IL-1β （P<0.01）， and higher protein levels of p-MEK and p-ERK （P<0.05， P<0.01） than the normal group. However， sulfasalazine and three doses of Mume Fructus markedly decreased the body weight and DAI （P<0.05）， recovered the colon length and spleen index， alleviated colon tissue damage， lowered the level of DAO in the serum （P<0.01）， and down-regulated the mRNA levels of TNF-α and IL-1β （P<0.01） and the protein levels of p-MEK and p-ERK （P<0.05）. Sulfasalazine and low- and medium-dose Mume Fructus increased the positive expression of Occludin， Claudin-1， and ZO-1 （P<0.05， P<0.01）. Furthermore， high-dose Mume Fructus elevated the protein expression of Occludin （P<0.05）. ConclusionMume Fructus can restore the expression of intestinal epithelial tight junction proteins by inhibiting the phosphorylation of proteins in the MEK/ERK signaling pathway and down-regulating the levels of TNF-α and IL-1β， thus repairing the intestinal mucosal barrier in the mouse model of IBD.

ObjectiveTo explore the evolution of medication patterns and syndrome-herb associations of traditional Chinese medicine （TCM） in treating inflammatory bowel disease （IBD）， providing a theoretical foundation for precise syndrome differentiation and treatment in clinical practice. MethodsMedical case literature on TCM treatment of IBD from 1960 to 2024 was retrieved to establish a database. Frequency statistics， cluster analysis， change point detection， and association rule mining were employed to comprehensively analyze the syndrome distribution， therapeutic methods， medication patterns， and their temporal variations. ResultsA total of 685 medical cases were included. Common syndromes were dampness-heat （66.42%） and spleen deficiency （56.20%）. Primary therapeutic methods included heat clearing （63.65%）， spleen invigorating （47.45%）， and dampness draining （36.79%）. High-frequency herbs included Coptidis Rhizoma （354）， Paeoniae Radix Alba （303）， Aucklandiae Radix （292）， Codonopsis Radix （253）， and Glycyrrhizae Radix et Rhizoma （244）. Initial prescription clustering revealed three core therapeutic method combinations： heat clearing and detoxifying （represented by Baitouweng Tang）， spleen invigorating and Qi reinforcing （represented by Shenling Baizhusan）， and cold-heat regulation （represented by Wumeiwan combined with Shaoyao tang）. Temporal analysis identified 2008 as a key transition point in TCM treatment of IBD， with significantly increased usage frequency of heat-clearing and dampness-drying herbs such as Fraxini Cortex， Phellodendri Chinensis Cortex， Sophorae Flavescentis Radix， and Scutellariae Radix as well as hemostatic herbs such as carbonized Sanguisorbae Radix， Bletillae Rhizoma， Agrimoniae Herba， and Notoginseng Radix et Rhizoma. Follow-up efficacy analysis showed median improvement rates of 64.0% at the first follow-up， 76.0% at the second follow-up， and 78.7% at the third follow-up. Syndrome-drug association analysis revealed specific herb pairs with significant therapeutic advantages， including Notoginseng Radix et Rhizoma + Coicis Semen， Sanguisorbae Radix + Coptidis Rhizoma， and Codonopsis Radix + Aconii Lateralis Radix Praeparaia. ConclusionTCM medication patterns for treating IBD demonstrate distinct temporal evolution characteristics， with significantly increased usage frequency of herbs such as Fraxini Cortex， Notoginseng Radix et Rhizoma， and Agrimoniae Herba. Significant therapeutic method-herb associations and syndrome-herb association patterns exist， with the formation of specific herb pairs， providing evidence-based support for precise syndrome differentiation and treatment of IBD.

Objective To analyze the dynamic change in placental growth factor(PLGF)level in patients with preeclampsia(PE)and its role in predicting pregnancy outcomes.Methods A retrospective cohort study was conducted on 198 PE patients admitted to Department of Obstetrics of Tianjin Beichen Hospital from January 2021 to January 2024.Among them,151 cases were identified as non-severe PE and 47 cases as severe PE.During the same period,another 100 healthy pregnant women were included in the department and served as the control group.According to the final pregnancy status of the PE patients,they were divided into an adverse outcome group(88 cases)and a good outcome group(110 cases).Locally Weighted Scatterplot Smoothing(LOWESS)was used to analyze the relationship between vascular endothelial function indicators and PLGF level.Logistic regression was employed to identify the influencing factors for adverse pregnancy outcomes.Receiver operating characteristic(ROC)curve was plotted to evaluate the value of PLGF level for predicting adverse pregnancy outcomes in patients with non-severe PE and severe PE.Results The PLGF level was in a peak shape at different gestational weeks,relatively low at 28～29+6 weeks of gestation,gradually increasing with the increment of gestational weeks,reaching a peak at 30～31+6 weeks of gestation,and then gradually decreased(P<0.05).The PLGF level was gradually reduced in the control group,non-severe PE group,and severe PE group in turn(P<0.05).LOWESS analysis showed that the PLGF level exhibited certain nonlinear relationship with soluble fms-like tyrosine kinase receptor 1(sFlt-1),vascular endothelial growth factor(VEGF),nitric oxide(NO),thrombomodulin(TM),thromboxane A2(TXA2),and Von Willebrand factor(VwF).The results of logistic regression analysis indicated that after gradually eliminating collinearity confounding factors and adjusting for each covariate,there was still an independent correlation between the PLGF level at 28～29+6 gestational weeks and pregnancy outcome(OR=0.593,95%CI:0.583～0.778,P<0.001).After converting the PLGF level into a binary variable,there was an independent correlation between high PLGF level and pregnancy outcome(OR=0.773,95%CI:0.671～0.885,P<0.001).Compared with the quintile with the lowest PLGF(Q1),as the PLGF level gradually increased(Q2 to Q5),the correlation effect values were(OR=0.765,95%CI:0.639～0.837,P=0.092),(OR=0.752,95%CI:0.624～0.818,P=0.056),(OR=0.696,95%CI:0.615～0.813,P=0.027),and(OR=0.642,95%CI:0.591～0.733,P<0.001),and the trend test was statistically significant(Ptrend<0.001).ROC curve analysis revealed that the area under the ROC curve(AUC)of serum PLGF level at 28-29+6 gestational weeks in predicting adverse pregnancy outcomes in non-severe PE patients was 0.830(95%CI:0.635～0.917),the optimal critical threshold was 75.47 ng/L,the sensitivity was 88.37%,the specificity was 71.30%,the positive predictive value was 55.07%,and the negative predictive value was 93.90%.Its AUC value of the level for the prediction in patients with severe PE was 0.874(95%CI:0.677～0.923),the optimal critical threshold was 38.53 ng/L,the sensitivity was 88.89%,the specificity was 50.00%,the positive predictive value was 97.56%,and the negative predictive value was 16.67%.Conclusion At 28～29+6 gestational weeks,PLGF has an independent correlation with pregnancy outcomes and shows a good predictive performance for adverse pregnancy outcomes in patients with non-severe PE and severe PE.

Objective To develop and evaluate dietary and exercise intervention program for over-weight/obese patients with polycystic ovary syndrome(PCOS).Methods Seventy patients with over-weight/obese PCOS were prospectively selected as research subjects and divided into intervention group(n=35)and control group(n=35)according to random number table method.According to the completion of the intervention plan,29 cases were finally included in the intervention group and 28 cases in the control group.The control group was given conventional nursing intervention,while the intervention group was applied with the diet and exercise intervention program for overweight/obese patients with PCOS.Both groups were intervened for 3 months.The physical indicators,PCOS sign scores,natural pregnancy rate,degree of self-body image distress(Multidimensional Self-body Im-age Relationship Questionnaire-Appearance Subscale)and self-efficacy level(Self-efficacy Scale)before and after the intervention were compared between the two groups.The occurrence of adverse reactions during the intervention period between the two groups were compared.Results After 1 month and 3 months of intervention,the body mass index(BMI)and PC OS sign score of the pa-tients in the intervention group were significantly lower than those in the control group(P＜0.05).The natural conception rate of the intervention group was 34.48％(10/29),which was significantly higher than 10.71％(3/28)of the control group(P＜0.05).After 1 month and 3 months of inter-vention,the scores of the self-body image relationship-appearance subscale of the patients in the inter-vention group were significantly higher than those in the control group(P＜0.001).After 3 months of intervention,the score of the Self-efficacy Scale of patients in the intervention group was significantly higher than that in the control group(P＜0.001).During the intervention period,no adverse reac-tions caused by diet and exercise intervention occurred in either group.Conclusion Implementing a diet and exercise intervention program for overweight/obese patients with PCOS is beneficial for re-ducing patients' BMI,increasing the natural pregnancy rate,improving self-body image disorders,and enhancing self-efficacy.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Approximately 60% of colorectal cancer (CRC) patients exhibit TP53 mutations, which are strongly associated with tumor progression, chemotherapy resistance, and an unfavorable prognosis. However, targeting p53 has historically been challenging, and currently, there are no approved p53-based therapeutics for clinical use worldwide. In this study, we discovered that ubiquitin carboxyl terminal hydrolase L3 (UCHL3) plays a crucial role in high-level glycolysis, enhanced stem-like properties, and 5-fluorouracil (5-FU) chemoresistance in TP53-mutant CRC by exerting its deubiquitinating enzyme activity to stabilize α-enolase (ENO1) protein. Notably, we identified a newly Food and Drug Administration (FDA)-approved drug, pacritinib, that potently suppresses UCHL3 expression by blocking the janus kinase 2 (JAK2)-signal transducer and activator of transcription 3 (STAT3) pathway in TP53-mutant CRC. Furthermore, Pacritinib was demonstrated to effectively inhibit glycolysis and improve the sensitivity to 5-FU chemotherapy in TP53-mutant CRC. Our findings suggest that targeting the JAK2-STAT3-UCHL3-ENO1 axis is a promising strategy to suppress glycolysis and enhance the efficacy of 5-FU chemotherapy in TP53-mutant CRC. Pacritinib shows potential for clinical application in the treatment of TP53-mutant CRC.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To develop a nutritional assessment scale for patients with inflammatory bowel disease and examine its reliability and validity for assessing nutritional literacy in patients with inflammatory bowel disease.Methods:Based on the Nutbeam health literacy stratification model and knowledge-attitude-practice model, a preliminary scale was developed through literature review, semi-structured interviews, expert consultation and pre-surveys. A convenient sampling method was used to select 376 inflammatory bowel disease patients admitted to Tenth People′s Hospital Affiliated to Tongji University from September, 2022 to April, 2023 for questionnaire surveys, and reliability and validity tests were conducted to form the final scale.Results:The nutritional assessment scale for inflammatory bowel disease included 39 items. Exploratory factor analysis identified five common factors: nutritional knowledge, nutritional attitudes, nutritional practices, information interaction ability, and information evaluation ability. These factors explained 65.431% of the total variance. The content validity index of the scale was 0.857, and the item-level content validity index ranged from 0.800 to 1.000. The Cronbach α coefficient of the scale was 0.869, and the Cronbach α coefficients of each dimension ranged from 0.847 to 0.922. Conclusions:The developed nutritional assessment scale for inflammatory bowel disease demonstrates good reliability and validity, allowing for effective evaluation of patients′nutritional status.