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.

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.

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.

Objective:To explore the correlation between hip muscle factors measured with CT imaging and recovery of independent mobility within 1 year after surgery in elderly patients with hip fractures.Methods:A prospective cohort study was conducted on the clinical data of 680 elderly patients with hip fractures admitted to Beijing Jishuitan Hospital of Capital Medical University from November 2018 to December 2019. The patients were assigned to dependent group and assistant group according to whether they regained pre-injury independent mobility within 1 year after surgery. Gender, age, body mass index, personal history, living habits, past diseases, Charlson comorbidity index, laboratory test indicators, fracture types, anesthesia types, surgical methods, rehabilitation training, time from injury to surgery, and hip muscle parameters in both groups were recorded. OsiriX software was employed in the measurement of the hip muscles to measure the muscle area and density of the gluteus maximus and gluteus medius/minimus on CT images, and the average values were calculated as hip muscle area and density. Then the variables of hip muscle area and density were converted seperately to gender-normalized Z-scores, and were divided into high-area group ( Z≥0) and low-area group ( Z<0), and high-density group ( Z≥0) and low-density group ( Z<0) respectively. Observable variables were primarily analyzed using univariate analysis between the independent group and assistant group. Those variables with statistically significant differences in the univariate analysis or would potentially affect mobility recovery according to previous researches although there were no statistical significance were included in a multivariate Logistic regression analysis. Three Logistic regression models were designed (Model 1 uncorrected, Model 2 corrected for gender, age and body mass index, Model 3 corrected for variables in Model 2 and other variables included after above-mentioned analysis) to analyze whether muscle parameters were risk factors for recovery of independent mobility. Additionally, generalized estimating equations were used for repeated measurement to analyze the correlation between hip muscle area and recovery of independent mobility after surgery. Results:Compared to the assistant group, the independent group were younger in age, with lower rate of living alone, being housebound, cognitive impairment, and Charlson comorbidity index, lower level of hemoglobin and albumin, higher rate of femoral neck fractures, lower rate of internal fixation, shorter time from injury to surgery, larger hip muscle area, and higher hip muscle density ( P<0.05 or 0.01). Multivariate Logistic regression analysis showed that, in the fully corrected Model 3, only hip muscle area remained significantly correlated with recovery of independent mobility ( P<0.05), while no significant difference was found between the high-density group and low-density group ( P>0.05). In the repeated measurement, patients in the high-area group were 1.84 times more likely to restore independent mobility than those in the low-area group ( OR=1.84, 95% CI 1.33, 2.53, P<0.01). Conclusions:Hip muscle area measured with CT imaging is closely correlated to the recovery of independent mobility within 1 year after surgery in elderly patients with hip fractures. Moreover, larger hip muscle area indicates a larger likelihood of recovery of independent mobility.

Objective:To explore the feasibility and consistency of a new digital classification system of pelvic fractures named as JST classification based on close reduction techniques.Methods:A retrospective collection was conducted of the data from the 63 patients with pelvic fracture who had undergone surgical treatment after JST classification at Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital from March 2021 to March 2023. Digital classification of the pelvic fractures was performed based on their locations and displacements. The classification first divides the pelvis into 4 parts: left half pelvis and right half pelvis; sacral Denis Ⅲ area and pubic symphysis. The symmetrical left and right sacral Denis Ⅰ and Denis Ⅱ areas are also included in the left/right half pelvis. Subsequently, the left half pelvis and right half pelvis are divided into 4 regions and marked by capitalized English letters: Sacrum Area (including Denis Ⅰ and Denis Ⅱ, denoted as S), Sacroiliac Joint Area (denoted as J), Iliac Area (denoted as I), and Pubic Area (denoted as P); to distinguish right/left, R and L are used as prefixes. The 2 asymmetric parts are also marked with English letters: Denis Ⅲ area of the sacrum (denoted as Sac), and pubic symphysis (denoted as C). Afterwards, the fracture line morphology and displacement in each region are marked digitally to form a complete JST classification system. The inter- and intra-observer reliabilities (Fleiss' and Cohen's Kappa) of the JST classification system were tested by 3 observers with more than 10 years of experience in pelvic fracture treatment.Results:Consistency analysis of the JST classification results showed that the mean κ value of the intra-observer reliability was 0.818 (from 0.658 to 0.946, P<0.001) and the inter-observer reliability 0.873 (from 0.674 to 1.000, P<0.001), both indicating excellent agreement. Of the 63 patients, 59 obtained successful closed reduction with the assistance of the Rossum Robot R-Universal intelligent orthopedic surgical robot system after fracture classification by the JST system, yielding a success rate of 93.7% (59/63). Conclusions:The new JST classification system for pelvic fractures demonstrates strong intra and inter-observer reliabilities compared with traditional classification systems. As JST classification system labels each fracture site and key bones, it is of great significance for the deep learning and intraoperative operations of intelligent fracture robots.

Objective:To investigate the expression characteristics of mucin 5B (MUC5B) protein and programmed cell death factor 4 (PDCD4) protein in patients with intrahepatic cholangiocarcinoma (ICC), and to construct a nomogram model for prognosis prediction.Methods:Clinical data of 100 patients who underwent radical surgical resection and were diagnosed as ICC by postoperative pathology from September 2009 to September 2020 in the Third Affiliated Hospital of Wenzhou Medical University were retrospectively selected, including 46 males and 54 females, aged (56.9±12.2) years old. Immunohistochemistry was used to detect the expression of MUC5B and PDCD4 protein in 100 cases of ICC and corresponding adjacent tissues respectively, and the relationship between them and clinicopathological factors of ICC patients was analyzed. Univariate and multivariate Cox regression analysis were performed to analyze the influencing factors on postoperative prognosis of ICC patients. The nomogram model was constructed using rms package and performed internal verification.Results:The positive expression rate of MUC5B protein in ICC was 76.0% (76/100), which was higher than that in para-cancer tissues 27.0%(27/100), and the difference was statistically significant ( χ2=11.33, P=0.015). While the positive expression rate of PDCD4 protein in ICC was 21.0%(21/100), which was lower than that in normal tissues 73.0% (73/100), and the difference was statistically significant ( χ2=15.57, P=0.007). Multivariate Cox regression analysis showed that ICC patients with carbohydrate antigen 19-9>37 kU/L, tumor length>5 cm, tumor TNM stage Ⅱ/Ⅲ, tumor medium/low differentiation, MUC5B positive expression, and PDCD4 negative expression had a high risk of short survival after resection (all P<0.05). The nomogram model was constructed based on the above indicators, and the C-index was 0.801. The postoperative survival calibration curve showed that the high predictive survival fit of the nomogram model, and the area under the receiver operating characteristic curve was 0.862. Conclusions:Positive expression of MUC5B protein and negative expression of PDCD4 protein in ICC tissue suggest poor prognosis of ICC patients. The nomogram model constructed on the basis of MUC5B and PDCD4 protein is well distinguished and has ideal predictive efficacy.

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.

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.

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.