ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveTo explore the potential mechanism of Xianglian Huazhuo prescription （XLHZ） in treating chronic atrophic gastritis （CAG） by regulating cell cycle and inhibiting proliferation， using bioinformatics technology and animal experiments. MethodsDifferential expressed genes （DEGs） related to CAG were screened using GEO database and GEO2R tool. Weighted gene co-expression network analysis （WGCNA） was employed to search for hub genes of CAG. These hub genes were intersected with cell cycle proliferation based on GeneCards database. Eenrichment analysis of the intersecting genes was performed to obtain signaling pathways and biological processes related to CAG. Protein protein interaction （PPI） analysis of genes was conducted using the Protein Interaction Platform （STRING） database to search the super hub gene （hub 2.0）， and animal experiments were conducted for further validation. Fourteen of 70 male Wistar rats were randomly selected as the normal group， and the remaining 56 rats were prepared by the combined modeling method of "starvation disorder+N-methyl-N-nitro-N-nitrosoguanidine （MNNG） + sodium salicylate". The successfully modeled rats were randomly divided into the model group， XLHZ-H， XLHZ-M， and XLHZ-L groups （36， 18， 9 g·kg^-1， respectively）， and Morodan group （1.4 g·kg^-1）. Each group was given corresponding intervention for 60 days. Hematoxylin-eosin （HE） staining was used to observe the histopathological changes of gastric mucosa in rats. The ultrastructure of gastric mucosal tissue cells was observed by transmission electron microscopy. The relative expression levels of TGF-β₁， Smad2 and Smad3 proteins， S/G₂/M phase marker geminin and proliferation marker MCM2 were detected by Western blot in gastric mucosal tissue， and Spearman correlation analysis was performed. ResultsA total of 15 hub 2.0 genes were identified， including TGF-β₁， suggesting the involvement of the TGF-β₁ signaling pathway in the CAG pathogenesis. Compared with the normal group， the expressions of TGF-β₁， Smad2， geminin and MCM2 proteins in the gastric mucosa tissue of the model group were increased （P<0.05）， and the expression of Smad3 protein was decreased （P<0.05）. Compared with the model group， the expressions of TGF-β₁ and geminin in the gastric mucosa were decreased in the drug groups （P<0.05）. The XLHZ-M group， XLHZ-H group and Morodan group had significantly decreased protein expression of Smad2 and MCM2 （P<0.05）. The protein expression of Smad3 was significantly increased in XLHZ-M， XLHZ-H， and Morodan groups （P<0.05）. Spearman correlation analysis showed that Smad3 was negatively correlated with other indicators， and positively correlated with other indicators （P<0.01）. ConclusionXLHZ may inhibit TGF-β₁/Smads signaling pathway， regulate cell cycle， and inhibit proliferation in the treatment of CAG.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

Guided by the turbidity toxin theory， it is believed that the key pathogenesis of constipation-predominant irritable bowel syndrome is the obstruction of turbidity toxin and the disruption of intestinal function. Treatment is based on the principles of dispelling turbidity toxin and promoting intestinal function. The clinical patterns can be divided into three types， turbidity toxin heat accumulation pattern， turbidity toxin combined with liver depression and qi stagnation pattern， and turbidity toxin combined with qi and yin deficiency pattern. The treatment can respectively use self-prescribed Tongfu Jiangzhuo Formula （通腑降浊方） to clear heat and unblock the bowels， direct the turbid downward and resolve toxins； use self-prescribed Shugan Jiangzhuo Formula （疏肝降浊方） to soothe the liver and move qi， direct the turbid downward and resolve toxins； use self-prescribed Mazhi Jiangzhuo Formula （麻枳降浊方） to boost qi and nourish yin， moisten the intestines to remove turbidity and resolve toxins.

The treatment of sacrococcygeal pilonidal disease (SPD) remains challenging due to its high recurrence rate and treatment-related complications. An ideal treatment plan for SPD should be simple to perform, reduce recurrence rates, enable patients to quickly return to normal daily activities, and be associated with a low incidence of complications. Various surgical techniques have been employed for the treatment of SPD, but discrepancies and controversies persist in current clinical practice. Non-surgical treatment is suitable for asymptomatic SPD patients. For patients in the acute abscess phase, drainage is the primary therapeutic goal, with avoidance of midline incisions. Minimally invasive procedures may be considered for patients with localized lesions after weighing the recurrence risk, aiming for faster recovery and better cosmetic outcomes. For recurrent SPD or cases with extensive lesions, excision followed by secondary healing or combined with flap techniques is required to pursue a lower recurrence risk. Based on clinical experience and literature review, this article summarizes the treatment strategies for different types of SPD, providing a reference for clinicians in formulating diagnosis and treatment plans.

Objective To analyze the influencing factors of poor incision healing in postoperative patients with breast cancer.Methods The clinical data of 150 patients with breast cancer diagnosed by the Department of Nail Milk surgery of the Fifth affiliated Hospital of Xinjiang Medical University from January 2016 to December 2023 were retrospectively analyzed.According to the postoperative wound healing,the patients were divided into two groups:good healing group(n=94)and poor healing group(n=56).The general data,operation-related data and clinicopathological characteristics of the two groups were collected for univariate analysis,and the single-factor indexes with statistical significance were analyzed by multivariate Logistic analysis to screen the risk factors of poor incision healing after operation.The statistically significant indexes of regression analysis were analyzed by receiver operating characteristic(ROC)curve to further explore its predictive value in poor incision healing after breast cancer operation.Results The data of the two groups were compared and analyzed.Multivariate Logistic regression analysis showed that BMI,diabetes,age,axillary lymph node dissection and hemoglobin were independent risk factors for poor incision healing(P＜0.05).ROC curve analysis of independent risk factors showed that when the age was more than 57.5,the area under the curve(AUC)was 0.635,the sensitivity was 55.4％,the specificity was 68.1％,and the critical value was 57.5.When BMI＞24.9 kg/m2,the area under the curve(AUC)was 0.735,the sensitivity was 87.5％,the specificity was 61.7％,and the critical value was 24.9(P＜0.001).When hemoglobin＜101.5 g/L,the area under the curve(AUC)was 0.829,the sensitivity was 57.1％,the specificity was 94.7％,and the critical value was 101.5 g/L(P＜0.001).Conclusion BMI,diabetes,hemoglobin,age and axillary lymph node dissection are independent risk factors for poor wound healing after breast cancer operation.When BMI＞24.9 kg/m2,age＞57.5 years old and hemoglobin＜101.5 g/L,it can predict the occurrence of poor incision healing in patients with breast cancer.

Metastatic Crohn's disease (MCD) represents one of the rare cutaneous extraintestinal manifestations in patients with Crohn's disease. The genital area, particularly the vulva in females, is the most commonly affected site in MCD. However, clinical cases of metastatic vulval Crohn's disease (MVCD) are relatively scarce, and the symptoms often lack specificity, making differential diagnosis challenging. This article aims to summarize the clinical characteristics, diagnostic approaches, and treatment modalities of MVCD, thereby providing a reference for the clinical management of this condition.

Many female patients with inflammatory bowel disease (IBD) are of reproductive age, and addressing fertility-related issues is an important part of comprehensive treatment. Although the fertility of female IBD patients does not differ significantly from that of the general population, many women with IBD opt for childlessness. This voluntary childlessness may stem from concerns about the adverse effects of IBD and its treatment on fertility, pregnancy, and newborns. A lack of in depth understanding of fertility, socioeconomic status, demographic factors, and insufficient professional medical advice may also contribute to patients' decision to choose voluntary childlessness. This article analyzes the factors influencing voluntary childlessness in female IBD patients and summarizes recommendations aimed at reducing trend, to enhance fertility awareness among female IBD patients and providing useful references for developing reasonable fertility plans.

Crohn's disease (CD) is a chronic progressive inflammatory bowel disease. With the introduction of the "treat-to-target (T2T) " concept, the treatment goals for CD have become clearer and more specific. Traditional surgical treatment for CD typically follows a "complication-driven" approach, in which surgery is usually performed only after severe complications, such as bowel obstruction, fistulas, perforation, or cancer have occurred. The emergence of the treat-to-target strategy and the concept of disease clearance has transformed the surgical treatment of CD from a "passive rescue" model to an "active intervention" approach. Treatment goals have shifted from merely addressing complications and improving symptoms to achieving both short and long-term therapeutic objectives within the framework of treat-to-target. Achieving these goals helps to prevent CD-related complications, delay disease progression, reduce the risk of recurrence and malignancy, and improve the quality of life.