ObjectiveTo explore the mechanism of Shaoyaotang in the prevention and treatment of colitis-associated carcinogenesis （CAC） based on myeloid-derived suppressor cells （MDSCs）-related immunosuppressive microenvironment. MethodsA total of 140 six-week-old SPF FVB male mice were randomly divided into seven groups： Blank group， Shaoyaotang without model group （7.12 g·kg^-1）， model group， sulfasalazine group （0.52 g·kg^-1）， Shaoyaotang low-dose group （3.56 g·kg^-1）， Shaoyaotang medium-dose group （7.12 g·kg^-1） and Shaoyaotang high-dose group （14.24 g·kg^-1）， with 20 mice in each group. The blank control group and the Shaoyaotang without model group received a single intraperitoneal injection of physiological saline （10 mg·kg^-1）， while the other five groups were given a single intraperitoneal injection of azoxymethane （AOM） （10 mg·kg^-1）. After 1 week， the mice were given drinking water containing 2% dextran sulfate sodium （DSS） for 1 week， followed by normal drinking water for 2 weeks. This cycle was repeated three times over a total period of 14 weeks to establish the CAC mouse model. Each group was administered gavage once daily for 2 weeks starting on the 14^th day of the experiment， followed by three times a week until the end of the experiment. The body weight of the mice was recorded weekly. Mice were sacrificed on the 28^th and 98^th days of the experiment. After dissection， the colon length， colon weight， spleen weight， tumor size， and tumor number were measured. Hematoxylin and eosin （HE） staining was used to assess the pathological morphology of colon tumor tissue. Flow cytometry was used to detect MDSCs， regulatory T cells （Tregs）， CD4⁺ T cells， CD8⁺ T cells， and the CD4⁺/CD8⁺ T cell ratio in the spleen. Immunohistochemistry was used to detect the expression levels of programmed cell death protein-1 （PD-1）， programmed cell death ligand 1 （PD-L1）， phosphorylated AMP-activated protein kinase （p-AMPK）， phosphorylated nuclear factor-κB （p-NF-κB）， and hypoxia-inducible factor 1α （HIF-1α） in the colon tissue. ResultsOn day 14， compared with the blank group， the body weight of the model group was significantly reduced （P<0.01）， reaching its lowest point on day 28 （23.39 ± 0.95 ） g. On days 28 and 98， compared with the blank group， the colon length in the model group was significantly shortened （P<0.01）， the colon index significantly increased （P<0.01）， the spleen index significantly increased （P<0.01）， and the tumor load significantly increased （P<0.01）. HE staining showed that in the model group， tumor cells， a large number of inflammatory cell infiltrates， goblet cell disappearance， and crypt loss were observed. In each dose group of Shaoyaotang， the damage to the colonic mucosa， inflammatory cell infiltration， and crypt structure destruction were alleviated. Compared with the model group， the body weight of mice in each dose group of Shaoyaotang increased. On day 98， the colon length was significantly increased （P<0.01）， the colon index significantly decreased （P<0.01）， the spleen index significantly decreased （P<0.01）， and the tumor burden significantly decreased （P<0.01） in each Shaoyaotang dose group. On days 28 and 98， MDSCs and Tregs in the spleen of the medium- and high-dose Shaoyaotang groups were significantly reduced （P<0.01）， while CD4⁺ T cells and the CD4⁺/CD8⁺ T cell ratio were significantly increased （P<0.01）. The proportion of CD8⁺ T cells in the spleen and the expression levels of PD-1 and PD-L1 in the colon tissues of mice in each Shaoyaotang dose group were significantly increased to varying degrees （P<0.05， P<0.01）. On days 28 and 98， the expression of p-AMPK-positive cells in the colon tissue of the medium- and high-dose Shaoyaotang groups was significantly increased （P<0.01）， while the expression of p-NF-κB and HIF-1α was significantly reduced （P<0.01）. ConclusionShaoyaotang can regulate MDSC recruitment and modulate the immune function of T lymphocyte subsets to inhibit the occurrence and development of AOM/DSS-induced CAC in mice. The mechanism may be related to the activation of the AMPK/NF-κB/HIF-1α pathway.

Sennoside A(SA),a typical prodrug,exerts its laxative effect only after its transformation into rhei-nanthrone catalyzed by gut microbial hydrolases and reductases.Hydrolases have been identified,but reductases remain unknown.By linking a photoreactive group to the SA scaffold,we synthesized a photoaffinity probe to covalently label SA reductases and identified SA reductases using activity-based protein profiling(ABPP).From lysates of an active strain,Bifidobacterium pseudocatenulatum(B.pseu-docatenulatum),397 proteins were enriched and subsequently identified using mass spectrometry(MS).Among these proteins,chromate reductase/nicotinamide adenine dinucleotide(NADH)phosphate(NADPH)-dependent flavin mononucleotide(FMN)reductase/oxygen-insensitive NADPH nitroreductase(nfrA)was identified as a potent SA reductase through further bioinformatic analysis and The Universal Protein Resource(UniProt)database screening.We also determined that recombinant nfrA could reduce SA.Our study contributes to further illuminating mechanisms of SA transformation to rheinanthrone and simultaneously offers an effective method to identify gut bacterial reductases.

It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective To analyze the expression levels of TIPE2 and Ki67 in endometrial carcinoma(EC)and their relationship with clinicopathological parameters and prognosis.Methods Tissue samples and clinical data of 96 patients with EC who underwent surgical resection,120 patients who underwent total hysterec-tomy due to uterine fibroids and 120 patients who underwent total hysterectomy or curettage admitted to our hospital from February 2020 to February 2022 were retrospectively collected as the research objects,which were divided into the EC group,the normal endometrial group and the atypical hyperplasia endometrial group,respectively.All 3 groups were followed up until March 28,2023.Immunohistochemistry was used to detect the expression levels of TIPE2 and Ki67 in tissue samples of the three groups,and to analyze the relationship between the levels of TIPE2 and Ki67 and clinicopathological parameters and prognosis.Receiver operating characteristic curve(ROC)was used to analyze its diagnostic value for poor prognosis.Results The expression levels of TIPE2 and Ki67 in cancer tissues of the EC group were higher than those of the normal endometrial group and the atypical hyperplasia endometrial group,and those of the atypical hyperplasia endometrial group were higher than those of the normal endometrial group(P<0.05).The expression levels of TIPE2 and Ki67 in EC tissues were higher in patients with FIGO stage Ⅲ,lymph node metastasis,postmenopausal status,and ER and PR negative than patients with stageⅡ,no lymph node metastasis,premenopausal status,and ER and PR positive(P<0.05).Moreover,the expres-sion level of Ki67 in EC tissues was higher in p53 positive patients than in p53 negative patients(P<0.05),and there was a positive correlation between the both expression levels of TIPE2 and Ki67 in EC tissues(r=0.569,P<0.05).Compared with the poor prognosis group,the expression levels of TIPE2 and Ki67 in EC tissues in the good prognosis group were downregulated(P<0.05),and the AUC value of the combined detection of TIPE2 and Ki67 expression levels was 0.905,which was significantly higher than that of the single detection(P<0.05),sensitivity was 86.67%and specificity was 87.88%,and the predictive value was higher.Conclusion TIPE2 and Ki67 were highly expressed in EC tissues,and there was a positive correlation between the two,and their high expressions were related to clinicopathological features,and their combined detection had high predictive value for poor prognosis of EC.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective To investigate the predictive value of pre-transfer serum fibroblast growth factor 21(FGF-21),anti-Müllerian hormone(AMH),and neuropilin-1(NRP-1)for early pregnancy loss at 6 weeks following in vitro fertilization-embryo transfer(IVF-ET),and to establish an early predictive model based on serum biochemical markers.Methods This prospective study consecutively enrolled 322 women who achieved clinical pregnancy after IVF-ET at our center between September 2022 and September 2024.Participants were randomly divided into a modeling cohort(n=225)and a validation cohort(n=97)at a 7:3 ratio.According to ultrasound findings at 6 weeks of gestation,patients in the modeling cohort were classified into an early pregnancy loss group(n=59)and an ongoing pregnancy group(n=166).Baseline clinical characteristics and pre-transfer serum levels of FGF-21,AMH,and NRP-1 were collected.Multivariate logistic regression was applied to identify inde-pendent risk factors for early pregnancy loss and to construct a predictive model.Model discrimination,calibra-tion,and stability were evaluated using receiver operating characteristic(ROC)curves,the Hosmer-Lemeshow goodness-of-fit test,and bootstrap resampling in both cohorts.Results Univariate analysis revealed that the FSH/LH ratio,antral follicle count,and number of retrieved oocytes were significantly associated with early pregnancy loss(P<0.001).Compared with the ongoing pregnancy group,women with early loss showed significantly elevated pre-transfer serum FGF-21 levels,whereas AMH and NRP-1 levels were markedly reduced(P<0.001).Multivariate logistic regression demonstrated that an FSH/LH ratio<1.8(OR=1.629,P=0.002)and higher FGF-21 levels(OR=1.338,P=0.002)were independent risk factors,while higher AMH(OR=0.741,P=0.010)and NRP-1 levels(OR=0.874,P=0.007)were protective.Stratified analysis indicated that among patients with FSH/LH≥1.8,FGF-21 levels were significantly higher and AMH and NRP-1 levels significantly lower(all P<0.001).Interaction analysis further suggested that the FSH/LH ratio significantly modified the associations between these biomarkers and pregnancy loss risk(P for interaction<0.05).Specifically,in the higher FSH/LH subgroup,the risk effect of FGF-21 was amplified,while the protective effects of AMH and NRP-1 were more pronounced.The combined predictive model achieved C-indices of 0.869(95%CI:0.826～0.926)in the modeling cohort and 0.835(95%CI:0.811～0.907)in the validation cohort.Its AUC for predicting early pregnancy loss was 0.934 in the modeling co-hort and 0.909 in the validation cohort,both significantly outperforming individual markers(AUCs:FGF-21=0.867,AMH=0.881,NRP-1=0.853;Z=2.024,1.831;P<0.001).Decision curve analysis showed that the model provided consistent net clinical benefit across threshold probabilities of 0.1～0.4,underscoring its clinical utility.Conclusions Elevated pre-transfer serum FGF-21 and reduced AMH and NRP-1 levels are strongly associ-ated with early pregnancy loss at 6 weeks after IVF-ET.The predictive model developed in this study demonstrates robust accuracy and stability,offering substantial clinical application value for early risk stratification.

Objective To characterize the expression patterns of serum microRNA-497(miR-497)in patients with colorectal cancer(CRC)and to investigate its associations with clinicopathological characteristics,diagnostic performance,and long-term prognostic outcomes.Methods This study retrospectively analyzed data from 122 patients with CRC admitted to the hospital between March 2020 and March 2022(CRC group),and enrolled 100 healthy individuals undergoing routine physical examinations(healthy control group)for comparison.Serum samples were collected from all participants prior to any surgical intervention,and the expression levels of miR-497 in serum were quantified using real-time quantitative polymerase chain reaction(qRT-PCR).Simulta-neously,the levels of carcinoembryonic antigen(CEA)and carbohydrate antigen 199(CA199)were measured.To investigate the association between miR-497 expression and clinicopathological characteristics,we evaluated its diagnostic performance using receiver operating characteristic(ROC)curve analysis.Furthermore,Kaplan-Meier survival analysis and Cox proportional hazards regression models were employed to assess its impact on patient prognosis.Results Compared to healthy individuals,CRC patients exhibited significantly lower serum miR-497 expression levels(P<0.001).Notably,miR-497 expression was strongly correlated with TNM stage progression and lymph node metastasis(P<0.001),but showed no significant association with tumor location,patient sex,or age.Diagnostic evaluation using ROC curves demonstrated that miR-497 achieved an AUC of 0.845 for CRC detection,outperforming CEA(AUC=0.748)and CA19-9(AUC=0.702),with DeLong's test confirming the statistically significant differences(P<0.05).Kaplan-Meier survival analysis revealed a significantly higher 3-year DFS rate among patients with high miR-497 expression(84.06%)compared to those with low expression(64.58%),with median DFS not reached in the high-expression group versus 36 months in the low-expression group(P=0.015).Multivariate Cox regression analysis confirmed that reduced miR-497 expression(HR=1.923,95%CI:1.184～3.125),advanced TNM stage(HR=2.511,95%CI:1.421～4.437),and lymph node metastasis(HR=1.753,95%CI:1.151～2.664)were independently associated with poorer disease-free survival outcomes.Conclusions Serum miR-497 is downregulated in patients with CRC and is significantly associated with tumor progression and poor prognosis.It demonstrates high diagnostic accuracy and strong potential for prognostic evalua-tion,highlighting its promise as a biomarker for auxiliary diagnosis and outcome prediction in CRC.

Objective:To explore differences in dose-adjusted plasma concentrations of valproic acid between different valproate formulations in patients with mental disorders based on therapeutic drug monitoring data.Methods:A retrospective analysis was performed; clinical data, including demographic characteristics, therapeutic drug monitoring results, comorbidities, medication details (daily valproic acid dose, concomitant medications), and liver and kidney function indicators, were collected from 633 patients with bipolar disorder or schizophrenia who were hospitalized at Xi'an Mental Health Center and received different valproates from January 2024 to June 2024 (98 patients receiving sodium valproate and 535 receiving magnesium valproate). Clinical data between a sodium valproate group and a magnesium valproate group were compared. Multivariate linear regression was used to identify independent influencing factors for dose-adjusted plasma concentration of valproic acid. Valproic acid daily doses, and plasma concentrations and dose-adjusted plasma concentrations of valproic acid were compared between the two groups, with subgroup analyses conducted by gender and age categories.Results:A total of 658 measurements of plasma valproic acid concentration were obtained in 633 patients, including 104 measurements in the sodium valproate group and 554 in the magnesium valproate group. Significant differences in proportions of comorbidities and concomitant use of olanzapine, quetiapine and clozapine were observed between the sodium valproate group and magnesium valproate group ( P<0.05). After adjusting for age, gender, body mass index, comorbidities, concomitant medications, and liver and kidney function indicators, the type of valproates remained an independent influencing factor for dose-adjusted plasma concentration of valproic acid (adjusted unstandardized B coefficient=13.814, 95% CI: 8.090-19.540, P<0.001). Daily dose in the sodium valproate group (1.0[1.0, 1.0] g/d) was significantly higher than that in the magnesium valproate group (0.5[0.5, 1.0] g/d), and dose-adjusted plasma concentration of valproic acid in the magnesium valproate group (93.00 [75.60, 117.40] [μg/mL]/[g·d]) was statistically higher than that in the sodium valproate group (78.55 [57.90, 90.00][μg/mL]/[g·d], P<0.05). Subgroup analysis revealed that, among patients stratified by genders and ages (<40 years vs. ≥40 years), the daily dose in the sodium valproate group was significantly higher than that in the magnesium valproate group, while the dose-adjusted plasma concentration of valproic acid in the magnesium valproate group was significantly higher than that in the sodium valproate group ( P<0.05). Conclusion:Significant differences in dose-adjusted plasma concentrations of valproic acid are observed among different valproate formulations for the treatment of mental disorders; therefore, therapeutic drug monitoring should be performed in patients when switching valproates to facilitate precise individualized dosage adjustment.