Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Stromal interaction molecule 1 (STIM1) is a key component mediating store-operated calcium entry (SOCE), which controls the opening and closing of plasma membrane Ca 2+ channels by sensing the Ca 2+ content of endoplasmic reticulum luminal stores, and thus affects the processes of cell adhesion, migration, gene expression and proliferation. Studies have shown that STIM1 is abnormally expressed in a variety of cells such as neurons, endothelial cells and platelets during ischemic stroke (IS) development; it plays an important role in the pathological processes regulating hypertension, promoting thrombosis, activating cellular autophagy, mediating apoptosis and promoting neuroinflammation. This review summarizes the research progress of STIM1 in the development and prognostic assessment of IS, and seeks to provide theoretical references for potential therapeutic targets for IS.

Objective:To investigate the predictive value of the model based on soluble T cell immunogloblulin and mucin domain-containing protein 3 (sTIM3) for the progression of severe acute pancreatitis (SAP) in patients with acute pancreatitis (AP).Methods:A retrospective cohort study was conducted. The AP patients admitted to Changzhou First People's Hospital and Changzhou Second People's Hospital from June 1, 2020 to June 30, 2022 were enrolled. Mild AP (MAP) and moderately severe AP (MSAP) patients were classified as non-SAP group, and SAP patients were classified as SAP group according to the progression of AP patients during hospitalization. The basic data, blood biological indicators, serum sTIM3 level, bedside index for severity in acute pancreatitis (BISAP), acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, modified computed tomography severity index (MCTSI) score within 48 hours of admission, and prognosis indicators were collected. Multivariate Logistic regression analysis was conducted to analyze the risk factors of the progression of SAP in patients with AP during hospitalization. Based on the results of multivariate analysis and the best parameters selected based on the minimal Akaike information criterion (AIC), the SAP prediction model based on sTIM3 was constructed. The receive operator characteristic curve (ROC curve) was plotted to analyze the predictive efficacy of the model.Results:A total of 99 AP patients were enrolled, 80 patients in the non-SAP group and 19 patients in the SAP group. Compared with the non-SAP group, body mass index (BMI), drinking history ratio, heart rate (HR), respiration rate (RR), white blood cell count (WBC), red blood cell count (RBC), C-reactive protein (CRP), alanine aminotransferase (ALT), serum creatinine (SCr), procalcitonin (PCT), interleukin-6 (IL-6), sTIM3, BISAP score, APACHEⅡ score and MCTSI score were significantly increased, and pulse oxygen saturation (SpO 2), direct bilirubin (DBil) and IL-10 were significantly decreased. The length of intensive care unit (ICU) stay and total length of hospital stay of patients in the SAP group were significantly longer than those in the non-SAP group [length of ICU stay (days): 1.0 (0, 1.5) vs. 0 (0, 0), total length of hospital stay (days): 17.11±9.39 vs. 8.40±3.08, both P < 0.01]. Multivariate Logistic regression analysis showed that HR [odds ratio ( OR) = 1.059, 95% confidence interval (95% CI) was 1.010-1.110, P = 0.017], DBil ( OR = 0.981, 95% CI was 0.950-0.997, P = 0.043), and sTIM3 ( OR = 1.002, 95% CI was 1.001-1.003, P = 0.027) were independent risk factors for predicting the progression of SAP in patients with AP, and the SAP prediction model based on sTIM3 was constructed: Logit( P) = -14.602+0.187×BMI+0.057×HR+0.006×CRP-0.020×DBil+0.002×sTIM3. ROC curve analysis showed that among the aforementioned single factor quantitative indicators, IL-6 was the most effective in predicting the progression of AP patients to SAP during hospitalization, but the predictive performance of prediction model based on the sTIM3 was significantly better than IL-6 [area under the ROC curve (AUC) and 95% CI: 0.957 (0.913-1.000) vs. 0.902 (0.845-0.958), P < 0.05]. Conclusion:The model based on serum sTIM3 demonstrated good predictive value for the progression of SAP in patients with AP.

Objective:To investigate the predictive ability of Glypican-3 (GPC3) positive hepatocellular carcinoma based on the hepatobiliary specific contrast agent gadoxetate disodium enhancement of the liver imaging reporting and data system version 2018 (LI-RADS v2018) imaging features, and to assess the relevant clinical imaging features for postoperative recurrence in GPC3 positive HCC patients.Methods:This study was a cohort study. A total of 122 hepatocellular carcinoma patients who underwent gadoxetate disodium enhanced MRI examination with hepatic tumor resection in Henan Provincial People′s Hospital from January 2017 to December 2021 were retrospectively collected, including 96 GPC3 positive and 26 GPC3 negative patients. The imaging features defined by LI-RADS v2018 of HCC lesions were analyzed. Patients were followed up for 40 months to determine recurrence free survival (RFS). The logistic regression was used to analyze the risk factors of GPC3 positivity. An imaging model, and a clinical-imaging model which combined the patient′s alpha-fetoprotein levels were constructed. The efficacy of the model for predicting GPC3 positivity was assessed using receiver operating characteristic curves. Kaplan-Meier method was used to draw the survival curve, and the log-rank test was used to compare the RFS between GPC3 positive and negative patients. Risk factors affecting the recurrence of GPC3 positive HCC were assessed by Cox regression.Results:The results of logistic multivariate regression analysis confirmed that rim enhancement ( OR=5.685, 95% CI 1.229-26.287, P=0.026) and irregular tumor margin at hepatobiliary phase ( OR=4.431, 95% CI 1.684-11.663, P=0.003) were independent risk factors for GPC3 positive HCC. The area under the curve for predicting GPC3 positivity was 0.745 (95% CI 0.636-0.854) for the imaging model and 0.776 (95% CI 0.677-0.876) for the clinical-imaging model. The mean RFS in the GPC3 positive group was 22 months, and it was 32 months in the negative group. There was a statistically significant difference in RFS between the two groups ( χ2=5.15, P=0.023). The multivariate Cox regression analysis showed that the arterial rim enhancement ( HR=5.460, 95% CI 1.966-15.162, P=0.001), microvascular invasion ( HR=2.402, 95% CI 1.210-4.769, P=0.012), portal vein tumor thrombus ( HR=3.226, 95% CI 1.114-9.344, P=0.031) were independent risk factors for recurrence after hepatic tumor resection for GPC3-positive HCC. Conclusions:A model based on the LI-RADS v2018 imaging features of hepatobiliary specific contrast agent gadoxetate disodium enhancement can effectively predict GPC3 positive HCC. The arterial rim enhancement, microvascular invasion and portal vein tumor thrombus are independent risk factors for postoperative recurrence of GPC3 positive HCC.

Objective:To investigate the expression of nuclear matrix protein 4 (NMP4) in hepatocellular carcinoma (HCC), and its relationship with clinicopathological features and survival prognosis of patients.Methods:The clinical data of 100 HCC patients who were treated with radical resection of liver cancer in the Department of Hepatobiliary Surgery of the Third Affiliated Hospital of Wenzhou Medical University from July 1, 2014 to July 1, 2019 were retrospectively analyzed. There were 63 males and 37 females, aged (58.5±10.4) years old. Immunohistochemical method was used to detect the expression of NMP4 protein in HCC cancer tissue and the corresponding adjacent normal tissue. According to the expression of NMP4 in HCC tissues, 100 patients were divided into two groups: the NMP4-positive expression group ( n=62) and the NMP4-negative expression group ( n=32). Univariate analysis was performed on the relationship between NMP4 expression and clinical pathological features as well as overall survival of HCC patients. Cox multivariate analysis was performed on the factors influencing postoperative prognosis of HCC patients. Results:Immunohistochemistry results showed that NMP4 was primarily expressed in the nucleus, the positive expression rate of NMP4 in HCC tissues was higher than that in adjacent non-cancerous tissues [62.0% (62/100) vs. 8.0%(8/100)], and the difference was statistically significant ( χ2=2.12, P=0.003). Univariate analysis revealed that the overall survival of HCC patients was correlated with the degree of tumor differentiation, tumor length, BCLC stage, number of tumor foci, vascular tumor thrombus and expression of NMP4 (all P<0.05). Cox multivariate analysis revealed that low differentiation, high BCLC stage (stage C), number of tumor foci (≥3), and positive expression of NMP4 were independent risk factors affecting postoperative survival and recurrence-free survival of HCC patients. The median overall survival and median recurrence-free survival of HCC patients in the NMP4-positive expression group were 22.3 months and 11.5 months, respectively. In contrast, that in the NMP4-negative expression group were 40.6 months and 19.4 months, respectively. The cumulative survival rate and recurrence-free survival rate of HCC patients in the NMP4-positive expression group were lower than those in the NMP4-negative expression group, and the differences were statistically significant (both P<0.05). Conclusion:Positive NMP4 expression was closely correlated with malignant biological progression and poor prognosis of HCC patients.

Rabies virus (RABV) belonging to the Rhabdoviridae family and the Lyssavirus genus is the main pathogen of rabies and is a single stranded RNA virus with an envelope. The RABV genome encodes five structural proteins: nucleoprotein (N), phosphoprotein (P), matrix protein (M), glycoprotein (G), and RNA dependent RNA polymerase (RdRp). The N protein mainly plays an important role in the transcription and replication process of viruses, which is often used for diagnosis and virus identification; P protein can interact with some host protein partners, disrupt antiviral signaling pathways, and affect the pathogenicity of RABV; M protein plays an important role in regulating the balance between viral transcription and replication; as a target for inducing neutralizing antibodies, the trimeric structure analysis of G protein before fusion, the influence of fusion rings on successful trimerization and conformational stability, and the visualization of effective and widespread neutralizing antibody epitopes provide a basis for the development of broad-spectrum vaccines. The RdRp protein mainly catalyzes the transcription of viral RNA. In recent years, the analysis of the crystal structure of structural proteins, the discovery of related functional sites, and the interaction with small molecules have helped researchers better understand the pathogenicity of RABV, search for effective antiviral drug targets, and design broad-spectrum vaccines.

BACKGROUND:Previous studies on cervical instability failed to explain the dynamic and static interaction relationship and pathological characteristics changes in the development of cervical lesions under the traditional imaging examination.In recent years,the emerging nuclear magnetic resonance imaging(MRI)radiomics can provide a new way for in-depth research on cervical instability. OBJECTIVE:To investigate the application value of MRI radiomics in the study of cervical instability. METHODS:Through recruitment advertisements and the Second Department of Spine of Wangjing Hospital,China Academy of Chinese Medical Sciences,young cervical vertebra unstable subjects and non-unstable subjects aged 18-45 years were included in the cervical vertebra nuclear magnetic image collection.Five specific regions of interest,including the intervertebral disc region,the facet region,the prevertebral muscle region,the deep region of the posterior cervical muscle group,and the superficial region of the posterior cervical muscle group,were manually segmented to extract and screen the image features.Finally,the cervical instability diagnosis classification model was constructed,and the effectiveness of the model was evaluated using the area under the curve. RESULTS AND CONCLUSION:(1)A total of 56 subjects with cervical instability and 55 subjects with non-instability were included,and 1 688 imaging features were extracted for each region of interest.After screening,300 sets of specific image feature combinations were obtained,with 60 sets of regions of interest for each group.(2)Five regions of interest diagnostic classification models for cervical instability were initially established.Among them,the support vector machine model for the articular process region and the support vector machine model for the deep cervical muscle group had certain accuracy for the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.719 7 and 0.703 3,respectively.(3)The Logistic model in the intervertebral disc region,the LightGBM model in the prevertebral muscle region,and the Logistic model in the superficial posterior cervical muscle region were generally accurate in the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.650 4,0.620 7,and 0.644 2,respectively.(4)This study proved the feasibility of MRI radiomics in the study of cervical instability,further deepened the understanding of the pathogenesis of cervical instability,and also provided an objective basis for the accurate diagnosis of cervical instability.

ObjectiveTo investigate the influencing factors for rebleeding after endoscopic therapy and the effect of the number of sequential treatment sessions on postoperative rebleeding in patients with liver cirrhosis receiving secondary prevention of gastroesophageal varices （GOV）. MethodsA total of 1 717 patients with liver cirrhosis who received secondary prevention of GOV and attended The 960th Hospital of the PLA Joint Logistice Support Force from January 2017 to December 2021 were enrolled， and according to the presence or absence of bleeding after endoscopic therapy， they were divided into non-bleeding group and rebleeding group. The influencing factors for rebleeding were analyzed， as well as the association between the number of endoscopic treatment sessions and rebleeding. The chi-square test was used for comparison of categorical data between groups； the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between the two groups； the Kruskal-Wallis H test was used for comparison bertween multiple groups， and the Wilcoxon test was used for further comparison between two groups. The Cox regression model was used to investigate the influencing factors for rebleeding， and the Kaplan-Meier method was used to plot survival curves， while the Log-rank test was used for comparison between groups. ResultsOf all patients， 286 （16.7%） experienced rebleeding after endoscopic therapy， and 1 431 （83.3%） did not experience bleeding. There were significant differences between the two groups in history of smoking and drinking， etiology of liver cirrhosis， hemoglobin （Hb）， prothrombin time （PT）， prothrombin activity （PTA）， international normalized ratio （INR）， albumin （Alb）， fasting blood glucose， blood urea nitrogen， Child-Pugh class， aspartate aminotransferase-to-platelet ratio index （APRI） score， albumin-bilirubin （ALBI） score， use of non-selective beta-blocker （NSBB） before surgery， treatment modality， type of varices， and maximal varicose vein diameter （all P<0.05）. The univariate Cox regression analysis showed that in the patients with liver cirrhosis who received secondary prevention of GOV， rebleeding was associated with history of smoking and drinking， etiology of liver cirrhosis， use of NSBB before surgery， treatment modality， maximal varicose vein diameter， Hb， platelet count， PT， PTA， INR， Alb， total bilirubin （TBil）， alkaline phosphatase （ALP）， gamma-glutamyl transpeptidase， blood glucose， Child-Pugh class， and ALBI score （all P<0.05）. The multivariate Cox regression analysis showed that Hb （hazard ratio ［HR］=0.989， 95% confidence interval ［CI］： 0.983‍ ‍—‍ ‍0.994， P<0.001）， TBil （HR=1.020， 95%CI： 1.006‍ ‍—‍ ‍1.034， P=0.005）， Alb （HR=0.868， 95%CI： 0.758‍ ‍—‍ ‍0.994， P=0.041）， treatment modality （sclerosing agent： HR=2.158， 95%CI： 1.342‍ ‍—‍ ‍3.470， P=0.002； tissue adhesive： HR=2.709， 95%CI： 1.343‍ ‍—‍ ‍5.462， P=0.005； ligation+sclerosing agent： HR=3.181， 95%CI： 1.522‍ ‍—‍ ‍6.645， P=0.002； sclerosing agent+tissue adhesive： HR=1.851， 95%CI： 1.100‍ ‍—‍ ‍3.113， P=0.020）， ALP （HR=1.003， 95%CI： 1.001‍ ‍—‍ ‍1.004， P=0.002）， and maximal varicose vein diameter （HR=1.346， 95%CI： 1.119‍ ‍—‍ ‍1.618， P=0.002） were independent influencing factors for rebleeding after endoscopic therapy. Comparison of rebleeding rate after different numbers of sequential treatment sessions showed that the patients treated for three sessions had a significantly lower rebleeding rate than those treated for one or two sessions （χ²=8.643 and 5.277， P=0.003 and 0.022）. The survival analysis showed that with the increase in the number of treatment sessions， there was a significantly longer interval between rebleeding （P=0.006） and a significantly lower mortality rate （P<0.001）. ConclusionThe levels of TBil， ALP， Hb， and Alb on admission， endoscopic treatment modality， and maximal varicose vein diameter were the main predictive factors for rebleeding after endoscopic therapy for GOV in liver cirrhosis， and such predictive factors should be closely monitored in clinical practice. Regular endoscopic therapy can reduce the rebleeding and mortality rates of patients with liver cirrhosis and GOV and prolonmg the interval between rebleeding.

Autism spectrum disorder(ASD)is a highly heterogeneous neurodevelopmental disorder with a complex underlying genetic structure.Current preclinical trials,however,mainly rely on rodent models to test the effects of non-pharmacological and pharmacological interventions on the core and related symptoms of ASD.This paper considers the brain regions that affect social interaction behaviors from the perspective of cognitive neural mechanisms,and reviews behavioral testing experiments,such as the three-chamber social interaction test,visible burrow system,and eco-HAB system.We also summarize effective non-pharmacological and pharmacological interventions,such as baclofen,oxytocin,and metformin,in the core and related symptom areas of ASD.This review aims to provide reference directions to promote the development of preclinical trials using rodent models.