ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley （SD） rats were randomly divided into a normal group， model group （M）， Sini San group （MS， 2.5 g·kg^-1）， and fluoxetine group （MF， 2 mg·kg^-1）. Except for the normal group， rats in the other three groups were subjected to chronic unpredictable mild stress （CUMS）. After 8 weeks， the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum corticosterone （CORT）， adrenocorticotropic hormone （ACTH）， corticotropin-releasing factor （CRF）， lipopolysaccharide （LPS）， Zonulin， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， γ-aminobutyric acid （GABA） levels in the hippocampus and prefrontal cortex， and brain-derived neurotrophic factor （BDNF） levels in the hippocampus. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy， and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group， the sucrose preference of rats in the model group was significantly reduced （P0.01）， whereas it was significantly increased in the Sini San group compared with the model group （P0.05）. Compared with the normal group， hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased （P0.05）， and compared with the model group， both were significantly increased in the Sini San group （P0.05， P0.01）. Compared with the normal group， serum LPS and Zonulin levels in the model group were significantly increased （P0.05， P0.01）， and compared with the model group， Zonulin levels in the Sini San group were significantly decreased （P0.05）. No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group， widened and blurred tight junctions， sparse and shortened microvilli， and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group， which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators， liver function， and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.

ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley （SD） rats were randomly divided into a normal group， model group （M）， Sini San group （MS， 2.5 g·kg^-1）， and fluoxetine group （MF， 2 mg·kg^-1）. Except for the normal group， rats in the other three groups were subjected to chronic unpredictable mild stress （CUMS）. After 8 weeks， the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum corticosterone （CORT）， adrenocorticotropic hormone （ACTH）， corticotropin-releasing factor （CRF）， lipopolysaccharide （LPS）， Zonulin， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， γ-aminobutyric acid （GABA） levels in the hippocampus and prefrontal cortex， and brain-derived neurotrophic factor （BDNF） levels in the hippocampus. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy， and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group， the sucrose preference of rats in the model group was significantly reduced （P<0.01）， whereas it was significantly increased in the Sini San group compared with the model group （P<0.05）. Compared with the normal group， hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased （P<0.05）， and compared with the model group， both were significantly increased in the Sini San group （P<0.05， P<0.01）. Compared with the normal group， serum LPS and Zonulin levels in the model group were significantly increased （P<0.05， P<0.01）， and compared with the model group， Zonulin levels in the Sini San group were significantly decreased （P<0.05）. No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group， widened and blurred tight junctions， sparse and shortened microvilli， and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group， which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators， liver function， and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.

The Consolidated Standards of Reporting Trials (CONSORT) statement aims to enhance the quality of reporting for randomized controlled trial (RCT) by providing a minimum item checklist. It was first published in 1996, and updated in 2001 and 2010, respectively. The latest version was released in April 2025, continuously reflecting new evidence, methodological advancements, and user feedback. CONSORT 2025 includes 30 essential checklist items and a template for a participant flow diagram. The main changes to the checklist include the addition of 7 items, revision of 3 items, and deletion of 1 item, as well as the integration of multiple key extensions. This article provides a comprehensive interpretation of the statement, aiming to help clinical trial staff, journal editors, and reviewers fully understand the essence of CONSORT 2025, correctly apply it in writing RCT reports and evaluating RCT quality, and provide guidance for conducting high-level RCT research in China.

Objective:To develop a prediction model for the dosage of antivenom in patients envenomed by Trimeresurus stejnegeri (bamboo pit viper) using Lasso-Logistic regression.Methods:A retrospective cohort study was conducted including 165 patients with Trimeresurus stejnegeri bites admitted to the Emergency General Ward of Yangjiang Hospital Affiliated to Guangdong Medical University (Yangjiang People's Hospital) between October 31, 2021, and November 1, 2024. Data on demographic characteristics, key clinical signs, laboratory parameters, antivenom treatment regimen, and total antivenom dosage were collected. Predictive variables were selected using LASSO and Logistic regression methods. The prediction model was constructed using R software. Model calibration was assessed using the Hosmer-Lemeshow test, discriminative ability via the receiver operating characteristic (ROC) curve, and clinical utility using decision curve analysis.Results:Among the 165 enrolled patients, 71 received a total antivenom dose of ≤3 vials, and 94 received >3 vials. Six predictors for requiring >3 vials of antivenom were identified: pain severity, swelling degree, serum treatment regimen, 3P-test result, white blood cell count (WBC), and fibrinogen level (FIB). After comparing 22 prediction models incorporating 4 to 6 variables, the model comprising swelling degree, pain severity, WBC, and FIB was selected. The calibration curve indicated good agreement between predicted and actual risks. The area under the ROC curve (AUC) was 0.78 (95% CI: 0.71–0.85), demonstrating satisfactory discriminative ability for predicting whether the total antivenom dose exceeded 3 vials. Conclusions:The risk prediction model shows good performance in identifying whether the total antivenom dose exceeds 3 vials in Trimeresurus stejnegeri bite patients. It incorporates six readily available clinical variables: pain severity, swelling degree, serum regimen, 3P-test, WBC, and FIB. A model based on pain severity, swelling degree, WBC, and FIB can assist clinicians in predicting whether a patient will require more than 3 vials of antivenom after standard treatment.

Objective To investigate the characteristics of epilepsy onset based on the theory of five circuits and six qi in traditional Chinese medicine(TCM).Methods A total of 8 389 epilepsy patients from a community-based natural population cohort study from UK Biobank were included.Frequency and constituent ratio analyses were performed to describe the distribution of epilepsy onset in relation to the five circuits and six qi elements,and statistical inferences were made using chi-square tests.Results The analysis revealed statistically significant differences existed in epilepsy onset across different heavenly stems,earthly branches,recombinant yearly circuit,celestial control and terrestrial effect,and dominant qi(all P＜0.05).From the perspective of circuits,the highest incidence occurred in years corresponding to the"Ji"and"Hai"years,while the lowest incidence was observed in"Bing"and"Mao"years.Years dominated by wood circuit and wind manifestations exhibited the highest incidence,whereas years with cold manifestations showed the lowest incidence,suggesting the liver as the primary pathological site in epilepsy.From the perspective of qi,the third dominant qi was most frequently associated with onset.Regarding presiding and subordinate qi,years with taiyin damp earth presiding and taiyang cold water subordinate had the highest incidence,while years with yangming dry metal presiding and shaoyang monarch fire subordinate had the lowest incidence,indicating that cold-damp years and midsummer periods are potential triggers for epilepsy.Conclusion There is a certain regularity in the epilepsy onset correlated with the features of five circuits and six qi,which can guide prevention and clinical diagnosis and treatment of epilepsy.

Objective:To investigate the molecular markers involved in death related to acute myocardial infarction (AMI) and provide new targets for early intervention.Methods:Consecutive patients who hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from January 2017 to December 2021 and diagnosed with AMI were enrolled. The clinical factors and markers associated with in-hospital death after AMI were analyzed. In addition, patients diagnosed with AMI hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from September 2022 to April 2023 were enrolled. We prospectively analyzed the plasma protein of death related to AMI via Olink Precision Proteomics based on proximity extension assay (PEA) technology.Results:In the retrospective study, 2 325 patients with AMI were analyzed, including 75 patients in the in-hospital death group and 2 250 subjects in the survival group. The overall mortality rate during hospitalization was 3.23% (75/2325). The patients in the death group were older: 72 (64, 80) years vs. 63 (55, 71) years. And Interleukin-6 (IL-6), hypersensitive C-reactive protein (Hs-CRP), leukocyte counts and neutrophil counts were markedly higher in the death group than those in the survival group: 69.0 (26.7, 136.6) ng/L vs. 18.2 (9.4, 36.5) ng/L, 45.7 (28.7, 50.5) mg/L vs. 5.5 (2.0, 17.2) mg/L, 12.0 (9.8, 14.1) ×10 9/L vs. 8.9 (7.2, 11.2) × 10 9/L, 9.8 (7.8, 12.1) ×10 9/L vs. 6.5(4.7, 8.8) ×10 9/L ( P<0.01). In this prospective study, 86 patients with AMI were analyzed. 61 proteins including Insulin-like growth factor-binding protein 1, 2 (IGFBP-1, IGFBP-2), Chitotriosidase-1 (CHIT1), Complement component C1q receptor (CD93) were independently associated with in-hospital death related to AMI ( P<0.05). The differential proteins were mainly enriched in inflammatory response, cell adhesion, cytokine signaling pathway and apoptosis. Moreover, 22 proteins including Urokinase plasminogen activator surface receptor (U-PAR), Trefoil factor 3 (TFF3), Perlecan (PLC), Growth differentiation factor 15 (GDF-15), Junctional adhesion molecule A (JAM-A) were plotted according to a logistic regression model, and the area under the curve (AUC) was more than 0.9, showing the high accuracy in predicting in-hospital death after AMI. Conclusions:Molecular markers of the inflammatory response, cell adhesion, cell growth and apoptosis might be involved in death related to AMI, which provides new targets for early intervention.

Objective:To investigate the molecular markers involved in death related to acute myocardial infarction (AMI) and provide new targets for early intervention.Methods:Consecutive patients who hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from January 2017 to December 2021 and diagnosed with AMI were enrolled. The clinical factors and markers associated with in-hospital death after AMI were analyzed. In addition, patients diagnosed with AMI hospitalized in department of cardiology, Xuanwu Hospital, Capital Medical University from September 2022 to April 2023 were enrolled. We prospectively analyzed the plasma protein of death related to AMI via Olink Precision Proteomics based on proximity extension assay (PEA) technology.Results:In the retrospective study, 2 325 patients with AMI were analyzed, including 75 patients in the in-hospital death group and 2 250 subjects in the survival group. The overall mortality rate during hospitalization was 3.23% (75/2325). The patients in the death group were older: 72 (64, 80) years vs. 63 (55, 71) years. And Interleukin-6 (IL-6), hypersensitive C-reactive protein (Hs-CRP), leukocyte counts and neutrophil counts were markedly higher in the death group than those in the survival group: 69.0 (26.7, 136.6) ng/L vs. 18.2 (9.4, 36.5) ng/L, 45.7 (28.7, 50.5) mg/L vs. 5.5 (2.0, 17.2) mg/L, 12.0 (9.8, 14.1) ×10 9/L vs. 8.9 (7.2, 11.2) × 10 9/L, 9.8 (7.8, 12.1) ×10 9/L vs. 6.5(4.7, 8.8) ×10 9/L ( P<0.01). In this prospective study, 86 patients with AMI were analyzed. 61 proteins including Insulin-like growth factor-binding protein 1, 2 (IGFBP-1, IGFBP-2), Chitotriosidase-1 (CHIT1), Complement component C1q receptor (CD93) were independently associated with in-hospital death related to AMI ( P<0.05). The differential proteins were mainly enriched in inflammatory response, cell adhesion, cytokine signaling pathway and apoptosis. Moreover, 22 proteins including Urokinase plasminogen activator surface receptor (U-PAR), Trefoil factor 3 (TFF3), Perlecan (PLC), Growth differentiation factor 15 (GDF-15), Junctional adhesion molecule A (JAM-A) were plotted according to a logistic regression model, and the area under the curve (AUC) was more than 0.9, showing the high accuracy in predicting in-hospital death after AMI. Conclusions:Molecular markers of the inflammatory response, cell adhesion, cell growth and apoptosis might be involved in death related to AMI, which provides new targets for early intervention.

Spontaneous intracerebral hemorrhage(sICH)refers to non-traumatic bleeding within brain parenchyma,presenting as a neurological emergency with high disability rate and mortality.Early diagnosis and treatment sICH are important to improve prognosis.Non-contrast CT(NCT)is a primary imaging modality for diagnosing intracerebral hemorrhage.In recent years,deep learning(DL)had shown unparalleled potential in automatic detection of cerebral hemorrhage,segmentation and calculation of hematoma volume,identification of edema around hematoma,etc,being able to assist doctors in diagnosis and treatment of sICH for reducing mortality and improving patients'life quality.The research progresses of DL based on NCT in sICH were reviewed in this article.

Objective To observe the effects and mechanism of Guiqi Yiyuan Ointment on immune function in 12C6+ beam bystander-effect rats.Methods Totally 60 Wistar rats were randomly divided into blank group,model group,positive control group,and TCM low-,medium-,and high-dosage groups,with 10 rats in each group.TCM low-,medium-,and high-dosage groups were given 1.2,2.4,and 4.8 g/kg Guiqi Yiyuan Ointment for gavage,and the blank group,model group and positive control group were given equal dose of sodium chloride solution for gavage for 14 days.Positive control group received intraperitoneal injection of amifostine 30 minutes before modeling.On the 15th day,except the blank group,the other groups were given 4 Gy 12C6+ beam of single irradiation on the right lung.After irradiation,each group was given gavage for 3 days.The general condition of rats was observed,peripheral blood leukocyte(WBC),red blood cell(RBC),hemoglobin(Hb),platelet(PLT)levels were detected,ELISA was used to detect the contents of serum interleukin(IL)-4 and interferon-γ(IFN-γ),lung and spleen organ indices were calculated,HE staining was used to observe the pathological morphology of left lung and spleen tissues,and flow cytometry was used to detect the proportion of CD4+ and CD8+ T lymphocytes in the spleen,qPCR was used to detect the expressions of T-bet and GATA-3 mRNA in right lung and spleen tissues.Results Compared with the blank group,the model group rats showed a decrease in peripheral blood WBC,an increase in RBC,Hb,PLT,and an decrease in serum IL-4 and IFN-γ contents;the organ indices of left lung and spleen was significantly reduced,the alveoli were deformed,the alveolar walls became thicker,the alveolar cavities shrank,the lung tissue was significantly bleeding,the spleen tissue structure was severely damaged,the splenic sinus cavity became narrower,and the splenic cord showed fibrous hyperplasia;the proportion of CD4+ T lymphocytes and CD4+/CD8+ ratio in spleen tissue of the model group decreased,while the proportion of CD8+ T lymphocytes increased,the expression of T-bet mRNA in the left lung and spleen tissues decreased,while the expression of GATA-3 mRNA increased,with statistical significance(P<0.05).Compared with the model group,the positive control group and TCM medium-and high-dosage groups showed an increase in peripheral blood WBC,an decrease in RBC,Hb,PLT,an increase in serum IL-4 and IFN-γ contents;the index of left lung and spleen organs increased in TCM high-dosage group;the pathological damage of left lung and spleen tissues in each treatment group alleviated to varying degrees,while the proportion of CD4+ T lymphocytes and CD4+/CD8+ ratio in spleen tissue of the positive control group and TCM high-dosage group increased,the proportion of CD8+ T lymphocytes decreased,the expression of T-bet mRNA in left lung and spleen tissues increased,and the expression of GATA-3 mRNA decreased,with statistical significance(P<0.05).Conclusion Guiqi Yiyuan Ointment can alleviate the lung and spleen injury of rats induced by 12C6+ beam radiation.Its mechanism is related to regulating the proportion of CD4+,CD8+ T lymphocytes and the expression of T-bet and GATA-3,and recovering cellular immune function.

Purpose/Significance A prediction model is constructed based on real-world data to achieve prediction and early screening of type 2 diabetic microvascular complications.Method/Process Based on the real world data of Nanjing Drum Tower Hospital in the past 10 years,a particle swarm optimization based deep belief network(PSO-DBN)prediction model for microvascular complica-tions in type 2 diabetes mellitus is constructed by taking test results and medical record documents into consideration.Result/Conclusion The PSO-DBN model can predict diabetic microvascular complications,and the performance is better than that of random forest and sup-port vector machine(SVM)benchmark models,it provides references for the research of disease prediction model of real-world data.