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.

ObjectiveThis study aims to enhance of the farnesyl pyrophosphate（FPP） pool in Saccharomyces cerevisiae by heterologously expressing different farnesyl diphosphate synthases（FPSs） from various plants， thereby increasing the production of terpenoid compounds by the engineered yeast. MethodsRNA from mixed samples of roots， stems， and leaves of seven plants including Arabidopsis thaliana， Rosa rugosa， Artemisia annua， Centella asiatica， Humulus lupulus， Medicago sativa， and Panax ginseng was extracted by column chromatography and reverse transcribed into the first strand of complementary DNA（cDNA）， and based on the transcriptome data of the seven species of plants， sequence-specific primers were designed for CaFPS， RrFPS， MsFPS， HiFPS， PgFPS， AtFPS， and AaFPS， the full-length of the genes was cloned， and the genes were analyzed for bioinformatics in order to construct a pESC yeast shuttle vector. These seven plant-derived FPSs were further heterologously expressed in the previous constructed β-elemene-producing yeast， and the yield of β-elemene was indicated for their catalytic acivities. ResultsThe coding sequences of CaFPS， RrFPS， MsFPS， HiFPS， PgFPS， AtFPS， and AaFPS were all of 1 021 bp in length and encoding 301 amino acids， all of which were similarly related to the endogenous FPS-encoding gene（ERG20） in S. cerevisiae. After heterologous expression， RrFPS was identified as the most effective in catalyzing the synthesis of FPP from isopentenyl pyrophosphate（IPP） and dimethylallyl pyrophosphate（DMAPP）. Compared to the control strains， the RrFPS overexpressed yeast strains YB-1-Rr and YB-3-Rr increased the production of β-elemene by 231.25% and 189.3%， respectively. ConclusionBy comparing the functions of FPS-encoding genes from seven different plant sources， it is determined that the protein encoded by the RrFPS from R. rugosa has the best catalytic ability， which can provide key genetic elements for the construction of engineered yeast strain constructs with high terpenoid production.

Autoimmune hepatitis （AIH） is an inflammatory disease caused by immune dysfunction， and its pathogenic mechanism remains unclear. In recent years， a large number of studies have shown that iron homeostasis imbalance and ferroptosis are closely associated with the pathogenesis and progression of AIH. This article reviews the pathological mechanism and impact of iron overload and ferroptosis in AIH， in order to provide new insights and theoretical bases for research on the mechanism and clinical treatment of AIH.

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.

Sepsis is a common critical illness in clinical practice,characterized by rapid progression and high mortality.Its complex pathogenesis remains a major focus and challenge in the field of critical care medicine.Disseminated intravascular coagulation(DIC)is one of the most frequent and severe complications of sepsis,featuring systemic activation of the coagulation cascade and microthrombus formation,significantly increasing the mortality.Coagulation factorⅫ(FⅫ),a serine protease,is considered to have therapeutic potential for thrombosis without impairing normal hemostasis.Study reveal that neutrophil extracellular trap(NET),web-like DNA structures released through a unique process known as NETosis,provide negatively charged scaffolds that promote FⅫ binding and activation,thus triggering the intrinsic coagulation cascade and contributing to a hypercoagulable state.In recent years,increasing attention has been paid to the interaction between NET and FⅫ in sepsis complicated with DIC.These 2 factors play central roles in intravascular thrombus formation and coagulation activation.Beyond their antimicrobial function,NET can aggravate tissue injury and coagulation abnormalities by releasing proinflammatory mediators such as myeloperoxidase(MPO),neutrophil elastase(NE),and reactive oxygen species(ROS).FⅫ activation can further trigger the kallikrein-kinin system(KKS)and activate FⅪ,amplifying inflammation and thrombosis in a vicious cycle.Traditional Chinese medicine(TCM),as a key component of Chinese medical heritage,has demonstrated unique advantages in managing sepsis and its complications.Based on therapeutic principles such as"strengthening healthy qi and eliminating pathogenic factors"and"tonifying qi and activating blood circulation",TCM is believed to regulate immune function and correct coagulation disorders,thereby interfering with the hypercoagulable state mediated by NET and FⅫ,slowing the progression of DIC,and improving clinical outcomes.Several herbs,including Salvia miltiorrhiza,Astragalus membranaceus,Rheum officinale,Ligusticum chuanxiong,and Curcuma longa,have shown anticoagulant,antiplatelet,and anti-inflammatory properties.In addition,compound formulations such as Xuebijing injection and Qingwen Baidu decoction have demonstrated clinical efficacy in improving coagulation parameters,reducing D-dimer levels,and protecting organ function.Although current evidence on the effects of TCM on NET formation and FⅫactivation is still limited,its potential mechanisms and clinical value warrant further investigation.This review summarizes the critical roles and interplay of FⅫand NET in sepsis complicated with DIC and discusses the advances in TCM-based interventions,aiming to provide new perspectives for mechanism-oriented research and integrative therapeutic strategies.

Rhabdomyolysis is a clinical syndrome characterized by damage to the integrity of skel-etal muscle cell membranes,massive release of intracellular contents(such as myoglobin,creatine ki-nase,and electrolytes)into the bloodstream,thereby triggering systemic pathophysiological responses.Its most common and severe complication is acute kidney injury,primarily resulting from the combined effects of myoglobin deposition in renal tubules and renal ischemia.Due to lack of specific early clini-cal manifestations,patients are often misdiagnosed or experience delayed treatment,which can lead to exacerbation of the condition and even life-threatening consequences.This article reports a case of a patient who presented with unexplained rhabdomyolysis at onset and subsequently developed acute kid-ney injury during the course of the disease.A systematic analysis and discussion of the potential etiolo-gy are conducted based on the patient's clinical features and laboratory test results.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.