Functional constipation （FC） is a common functional disorder of the intestines， mainly characterized by reduced bowel movement frequency， difficulty in defecation， a sensation of incomplete evacuation， and hard stools， which severely affect patients’ quality of life. Research indicates that the pathogenesis of FC is closely related to gut microbiota dysbiosis and abnormal bile acid secretion. Bile acids， as endogenous natural laxatives， promote bowel movements by enhancing colonic secretion and regulating intestinal motility； meanwhile， gut microbiota influence colonic transit function by regulating the enteric nervous system， immune system， and their metabolic products. Based on an overview of the relationship between gut microbiota and bile acid metabolism， this article systematically reviews the current research status on the mechanisms of traditional Chinese medicine （TCM） in treating FC by regulating the balance of the gut microbiota-bile acid axis. It is found that single Chinese medicinal herbs （such as Atractylodes macrocephala）， isolated compounds （such as Platycodon grandiflorum polysaccharides）， herbal formulas （such as Shanger huang pill）， acupuncture， and moxibustion can up-regulate the abundance of beneficial bacteria， reshape the microbial structure， correct bile acid metabolism， and activate the Takeda G-protein receptor 5/farnesoid X receptor pathway to treat FC.

BACKGROUND:The inflammatory response of microglia is closely related to neuronal survival,regeneration,and functional recovery after spinal cord injury.Peroxiredoxin 1 is not only involved in the regulation of oxidative stress,but also has an important effect on cell proliferation,apoptosis,and inflammatory response.OBJECTIVE:To investigate the role and mechanism of peroxiredoxin 1 in the inflammatory response of microglia following spinal cord injury.METHODS:(1)Twelve female C57BL/6 mice were randomly divided into sham-operated(n=6)and spinal cord injury(n=6)groups.The sham-operated group was not modeled and acute spinal cord injury models were constructed in the spinal cord injury group using the modified Allen's method.Spinal cord tissue at the injured site was taken at 7 days after modeling and transcriptome sequencing was performed to identify differentially expressed genes.The expression of peroxiredoxin 1 in spinal cord tissues was verified using western blot and RT-qPCR.(2)Mouse microglia BV2 were divided into two groups:the control group was stimulated with lipopolysaccharide for 6 hours,and in the knockout group,lipopolysaccharide stimulation was applied for 6 hours at 24 hours after peroxiredoxin 1 was knocked down in the cells.RT-qPCR was performed to detect mRNA expression of peroxiredoxin 1,inflammatory factors(interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2),and western blot was performed to detect the expression of peroxiredoxin 1,inducible nitric oxide synthase,and reactive oxygen/mitogen-activated protein kinase signaling pathway proteins.Mouse microglia BV2 were treated in two groups:the control group was stimulated by hydrogen peroxide for 4 hours,and the knockout group was stimulated by hydrogen peroxide for 4 hours at 24 hours after knockdown of peroxiredoxin 1.The level of reactive oxygen species was detected by 2,7-dichlorodihydrofluorescein diacetate probe.RESULTS AND CONCLUSION:(1)Results from transcriptome sequencing,western blot and RT-qPCR confirmed that peroxiredoxin 1 expression levels in mouse spinal cord tissues were significantly higher in the spinal cord injury group than the sham-operated group(P＜0.05).(2)Peroxiredoxin 1 knockdown in microglial cells led to decreased expression of peroxiredoxin 1 mRNA and protein(P＜0.05),increased mRNA expression of interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2(P＜0.05),increased protein expression of inducible nitric oxide synthase,P-P38,P-JNK and P-ERK proteins(P＜0.05),and increased level of reactive oxygen species(P＜0.05).To conclude,peroxiredoxin 1 regulates microglial inflammation by targeting the reactive oxygen species/mitogen-activated protein kinase signaling pathway.

BACKGROUND:The inflammatory response of microglia is closely related to neuronal survival,regeneration,and functional recovery after spinal cord injury.Peroxiredoxin 1 is not only involved in the regulation of oxidative stress,but also has an important effect on cell proliferation,apoptosis,and inflammatory response.OBJECTIVE:To investigate the role and mechanism of peroxiredoxin 1 in the inflammatory response of microglia following spinal cord injury.METHODS:(1)Twelve female C57BL/6 mice were randomly divided into sham-operated(n=6)and spinal cord injury(n=6)groups.The sham-operated group was not modeled and acute spinal cord injury models were constructed in the spinal cord injury group using the modified Allen's method.Spinal cord tissue at the injured site was taken at 7 days after modeling and transcriptome sequencing was performed to identify differentially expressed genes.The expression of peroxiredoxin 1 in spinal cord tissues was verified using western blot and RT-qPCR.(2)Mouse microglia BV2 were divided into two groups:the control group was stimulated with lipopolysaccharide for 6 hours,and in the knockout group,lipopolysaccharide stimulation was applied for 6 hours at 24 hours after peroxiredoxin 1 was knocked down in the cells.RT-qPCR was performed to detect mRNA expression of peroxiredoxin 1,inflammatory factors(interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2),and western blot was performed to detect the expression of peroxiredoxin 1,inducible nitric oxide synthase,and reactive oxygen/mitogen-activated protein kinase signaling pathway proteins.Mouse microglia BV2 were treated in two groups:the control group was stimulated by hydrogen peroxide for 4 hours,and the knockout group was stimulated by hydrogen peroxide for 4 hours at 24 hours after knockdown of peroxiredoxin 1.The level of reactive oxygen species was detected by 2,7-dichlorodihydrofluorescein diacetate probe.RESULTS AND CONCLUSION:(1)Results from transcriptome sequencing,western blot and RT-qPCR confirmed that peroxiredoxin 1 expression levels in mouse spinal cord tissues were significantly higher in the spinal cord injury group than the sham-operated group(P＜0.05).(2)Peroxiredoxin 1 knockdown in microglial cells led to decreased expression of peroxiredoxin 1 mRNA and protein(P＜0.05),increased mRNA expression of interleukin 1β,interleukin 6,inducible nitric oxide synthase,tumor necrosis factor α,C-C motif chemokine ligand 2,and C-X-C motif chemokine ligand 2(P＜0.05),increased protein expression of inducible nitric oxide synthase,P-P38,P-JNK and P-ERK proteins(P＜0.05),and increased level of reactive oxygen species(P＜0.05).To conclude,peroxiredoxin 1 regulates microglial inflammation by targeting the reactive oxygen species/mitogen-activated protein kinase signaling pathway.

low transit constipation （STC） is a common functional intestinal disorder caused by impaired colonic transit function， characterized by reduced bowel movement frequency， hard stools， and difficulty in defecation. The mitogen-activated protein kinase （MAPK） signaling pathway， which mainly includes extracellular signal-regulated kinase （ERK）， c-Jun N-terminal kinase （JNK）， and p38 subtypes， plays a critical regulatory role in the occurrence and development of STC. This paper systematically reviews the multiple pathogenic mechanisms of the MAPK signaling pathway in STC and the research progress of traditional Chinese medicine （TCM） intervention.At the mechanistic level， the MAPK signaling pathway promotes the progression of STC through the following links：（1） Activation of p38 upregulates the expression of aquaporin 3 （AQP3）/AQP4 in the colon， leading to excessive reabsorption of water in the intestinal lumen； （2） It forms a positive feedback loop with nuclear factor-κB （NF-κB） to maintain low-grade intestinal inflammation， releases inflammatory factors such as tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）， and inhibits smooth muscle contraction； （3） Overactivation of p38 downregulates the expression of occludin and mucin 2 while upregulates the expression of claudin-2， thereby disrupting the mucosal barrier； （4） The JNK/p38 signaling pathway activates the caspase cascade to induce apoptosis of intestinal epithelial cells， neurons， and interstitial cells of Cajal； （5） Abnormal ERK signaling and excessive activation of p38/JNK inhibit intestinal smooth muscle contraction and reduce 5-hydroxytryptamine secretion， ultimately resulting in impaired colonic transit function.At the intervention level， TCM compound formulas and single herbs have been proven to improve STC by regulating the MAPK signaling pathway. Their effects are syndrome type-dependent：yin-nourishing formulas （Zengye Chengqi Tang， Tongbian Tang） mainly regulate the ERK/AQP axis； yang-warming formulas （Jichuan Jian） target both ERK/JNK and anti-apoptosis； heat-clearing formulas （Sanren Tang） focus on p38/NF-κB anti-inflammation. A single drug can simultaneously cover multiple aspects including water metabolism， inflammation， barrier function， apoptosis， and intestinal motility.Current relevant studies still have limitations such as mechanisms mostly remaining at the correlational level and a lack of disease-syndrome integrated research models. Future studies should combine specific inhibitors or gene knockout to identify core targets， establish disease-syndrome integrated STC models， and use network pharmacology and molecular docking techniques to deeply analyze the fine mechanism of “component-target-phenotype”， so as to provide high-quality evidence for the precise regulation of the MAPK signaling pathway by TCM in the intervention of STC.

OBJECTIVE To provide references for medical institutions’ outpatient pharmacies to increase the scanning rate， scanning efficiency and scanning accuracy of drug traceability codes.METHODS A total of 4 157 unscanned traceability code records from the first two‑week period of June 2025 were selected from the outpatient pharmacy of our hospital. Pareto chart was adopted to analyze the reasons for unscanned codes， and the Objective-Rules-Training-Check-Culture （ORTCC） model was utilized to carry out fine management. The traceability code scanning rate， pharmacists’ work efficiency （number of prescriptions dispensed per pharmacist per hour， number of drug boxes dispensed per pharmacist per hour）， patients’ medication-waiting time and dispensing errors were compared among four periods： before scanning implementation （June 2024）， before management intervention （June 2025）， the first phase after management （September 2025）， and the second phase after management （December 2025）， so as to evaluate the management effects.RESULTS The traceability code scanning rates in the first phase and second phase after management were remarkably higher than those before management （ P ＜0.05）， and the scanning rate in the second phase after management was obviously higher than that in the first phase after management （ P ＜0.05）. Compared with the period before scanning implementation， the number of prescriptions dispensed per pharmacist per hour， the number of drug boxes dispensed per pharmacist per hour， decreased significantly and patients’ medication-waiting time prolonged markedly before management （ P ＜0.05）. In the second phase after management， both the number of prescriptions dispensed per pharmacist per hour and the number of drug boxes dispensed per pharmacist per hour increased significantly， and patients’ medication-waiting time shortened greatly in contrast with the status before management （ P ＜0.05）. Besides， no statistically significant differences were found in the number of drug boxes dispensed per pharmacist per hour and patients’ medication-waiting time between the second phase after management and the period before scanning implementation （ P ＞0.05）.After the implementation of traceability-code scanning management， dispensing errors presented a gradually declining trend in each stage.CONCLUSIONS The fine management system for outpatient drug traceability codes constructed based on Pareto chart and ORTCC model can improve the traceability code scanning rate and pharmacists’ work efficiency of outpatient pharmacies， and reduce drug dispensing errors.

Food-derived bioactive peptides (FBPs), particularly those with ten or fewer amino acid residues and a molecular weight below 1300 Da, have gained increasing attention for their safe, diverse structures and specific biological activities. The development of FBP-based functional foods and potential medications depends on understanding their structure‒activity relationships (SARs), stability, and bioavailability properties. In this review, we provide an in-depth overview of the roles of FBPs in treating various diseases, including Alzheimer's disease, hypertension, type 2 diabetes mellitus, liver diseases, and inflammatory bowel diseases, based on the literature from July 2017 to Mar. 2023. Subsequently, attention is directed toward elucidating the associations between the bioactivities and structural characteristics (e.g., molecular weight and the presence of specific amino acids within sequences and compositions) of FBPs. We also discuss in silico approaches for FBP screening and their limitations. Finally, we summarize recent advancements in formulation techniques to improve the bioavailability of FBPs in the food industry, thereby contributing to healthcare applications.
Humans ; Peptides/therapeutic use* ; Structure-Activity Relationship ; Functional Food ; Diabetes Mellitus, Type 2/drug therapy* ; Biological Availability ; Alzheimer Disease/drug therapy* ; Inflammatory Bowel Diseases/drug therapy* ; Hypertension/drug therapy* ; Liver Diseases/drug therapy* ; Bioactive Peptides, Dietary

Aim To investigate the relationship between fibrinogen(FIB)and the progression of coronary plaque stenosis rate in patients with type 2 diabetes mellitus(T2DM).Methods Hospitalized T2DM patients who underwent two or more coronary CT angiography(CCTA)examinations in the First Affiliated Hospital of Xi'an Jiaotong U-niversity from January 2015 to December 2020 were included.The subjects were divided into high FIB and low FIB groups according to the median of FIB.The differences in the progression of coronary plaque stenosis rate and other clini-cal characteristics were compared between the two groups,and the relationship between FIB level and the progression of coronary plaque stenosis rate was analyzed by Spearman's correlation analysis and Logistic regression.Results A total of 145 patients were included,73 in the high FIB group and 72 in the low FIB group at baseline,with a median follow-up time of 25(18,40)months between CCTA.The age,proportion of women,and the progression of coronary plaque ste-nosis rate were higher in the high FIB group than those in the low FIB group,and the differences were statistically signifi-cant(P＜0.05).FIB level was positively correlated with the change in coronary plaque stenosis rate(r2=0.308,P＜0.001).Multivariate Logistic regression analysis showed that FIB level was a risk factor for the progression of coronary plaque stenosis rate in patients with T2DM(OR=5.25,95％CI:1.97～14.02,P＜0.001),after adjusting for age,sex and other clinical risk factors.Conclusion High baseline FIB level is an independent risk factor for the progression of coronary plaque stenosis rate in patients with T2DM,and monitoring FIB level is beneficial to cardiovascular risk stratifica-tion in patients with T2DM.

Objective To construct a model for predicting recidivism in violence in community-based schizophrenia spectrum disorder patients(SSDP)by adopting a joint modeling method.Methods Based on the basic data on severe mental illness in Southwest China between January 2017 and June 2018,4565 community-based SSDP with baseline violent behaviors were selected as the research subjects.We used a growth mixture model(GMM)to identify patterns of medication adherence and social functioning.We then fitted the joint model using a zero-inflated negative binomial regression model and compared it with traditional static models.Finally,we used a 10-fold training-test cross validation framework to evaluate the models'fitting and predictive performance.Results A total of 157 patients(3.44%)experienced recidivism in violence.Medication compliance and social functioning were fitted into four patterns.In the counting model,age,marital status,educational attainment,economic status,historical types of violence,and medication compliance patterns were predictive factors for the frequency of recidivism of violence(P＜0.05).In the zero-inflated model,age,adverse drug reactions,historical types of violence,medication compliance patterns,and social functioning patterns were predictive factors for the recidivism in violence(P＜0.05).For the joint model,the average value of Akaike information criterion(AIC)for the train set was 776.5±9.4,the average value of root mean squared error(RMSE)for the testing set was 0.168±0.013,and the average value of mean absolute error(MAE)for the testing set was 0.131±0.018,which were all lower than those of the traditional static models.Conclusion Joint modeling is an effective statistical strategy for identifying and processing dynamic variables,exhibiting better predictive performance than that of the traditional static models.It can provide new ideas for promoting the construction of comprehensive intervention systems.

Objective:To find the biomarkers that accurately predict the survival of patients with esophageal squamous cell carcinoma (ESCC).Methods:The immune related genes that were significantly related to the overall survival (OS) of patients with ESCC were screened from The Cancer Genome Atlas (TCGA) database to construct a prognostic risk score model. The prognoses of the high-risk and low-risk groups were compared by Kaplan-Meier method. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve. Tumor tissue samples of 83 patients with pathological diagnosis of ESCC were collected from Anyang Cancer Hospital for external verification. Cox regression analysis was used to comprehensively evaluate the effects of prognostic risk score and various clinical characteristics on OS of patients with ESCC.Results:Seven immune-related genes that were significantly related to survival prognosis were selected from the TCGA database and included in the prognostic risk score model, which were S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2. The 1- and 2-year survival rates of the low-risk group (40 cases) were 94.3% and 82.5%, respectively, while those of the high-risk group (40 cases) were 75.9% and 32.9%, respectively.The prognosis of the high-risk group was worse than that of the low-risk group ( P<0.001). The 83 external validation samples obtained consistent results by using the prognostic risk score model. The prognostic risk score was positively correlated with the content of CD4 + T lymphocytes in ESCC ( rs=0.259, P=0.020), but not correlated with the content of B lymphocytes, CD8 + T lymphocytes, neutrophils, macrophages or dendritic cells ( P>0.05). Conclusions:S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2 were risk genes significantly associated with OS of patients with ESCC. The prognostic risk score was an independent prognostic factor for the OS of patients with ESCC, and it was correlated with the content of CD4 + T lymphocytes in ESCC tissue.

Objective:To find the biomarkers that accurately predict the survival of patients with esophageal squamous cell carcinoma (ESCC).Methods:The immune related genes that were significantly related to the overall survival (OS) of patients with ESCC were screened from The Cancer Genome Atlas (TCGA) database to construct a prognostic risk score model. The prognoses of the high-risk and low-risk groups were compared by Kaplan-Meier method. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve. Tumor tissue samples of 83 patients with pathological diagnosis of ESCC were collected from Anyang Cancer Hospital for external verification. Cox regression analysis was used to comprehensively evaluate the effects of prognostic risk score and various clinical characteristics on OS of patients with ESCC.Results:Seven immune-related genes that were significantly related to survival prognosis were selected from the TCGA database and included in the prognostic risk score model, which were S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2. The 1- and 2-year survival rates of the low-risk group (40 cases) were 94.3% and 82.5%, respectively, while those of the high-risk group (40 cases) were 75.9% and 32.9%, respectively.The prognosis of the high-risk group was worse than that of the low-risk group ( P<0.001). The 83 external validation samples obtained consistent results by using the prognostic risk score model. The prognostic risk score was positively correlated with the content of CD4 + T lymphocytes in ESCC ( rs=0.259, P=0.020), but not correlated with the content of B lymphocytes, CD8 + T lymphocytes, neutrophils, macrophages or dendritic cells ( P>0.05). Conclusions:S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2 were risk genes significantly associated with OS of patients with ESCC. The prognostic risk score was an independent prognostic factor for the OS of patients with ESCC, and it was correlated with the content of CD4 + T lymphocytes in ESCC tissue.