ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Objective: To analyze the epidemiological characteristics of varicella among nursery children in Shenzhen from 2015 to 2024, and to evaluate the impact of optimizing varicella vaccine (VarV) immunization strategies on varicella incidence. Methods: Varicella incidence data for nursery children in Shenzhen from 2015 to 2024 were obtained from the China Disease Prevention and Control Information System. The study period was divided into three phases:one dose self pay VarV (January 2015 to October 2017), two dose self pay VarV (November 2017 to October 2019), and two dose free VarV (November 2019 to December 2024). Interrupted time series (ITS) analysis was conducted to assess changes in the level and trend of varicella incidence associated with each phase of policy implementation. Results: A total of 27 517 varicella cases was reported among nursery children from 2015 to 2024, with an average annual incidence of 514.01/100 000. During the same period, 136 clustered outbreaks were reported in nursery institutions, involving a cumulative total of 1 091 cases. ITS analysis showed that during the self pay 1 dose stage, the varicella incidence among nursery children showed an upward trend, with an average monthly increase of 2.58/100 000 (95% CI =2.21/ 100 000 -2.95/100 000, P <0.01). After the implementation of the self pay 2 dose strategy, the incidence decreased, with a change in incidence of -26.12/100 000 (95% CI =-37.30/100 000 to -14.94/100 000) and a change in slope of -2.65/100 000 (95% CI = -3.38/100 000 to -1.93/100 000)(all P <0.01). After the implementation of the free 2 dose strategy, the incidence decreased further, with a change in incidence of -40.03/100 000 (95% CI =-50.39/100 000 to -29.66/100 000, P <0.01) and a change in slope of -0.56/100 000 (95% CI =-1.20/100 000-0.08/100 000, P =0.09). Conclusion The gradual optimization of the VarV vaccination strategy in Shenzhen from self pay 1 dose to free 2 dose has significantly reduced the varicella incidence among nursery children, demonstrating good short term control and long term intervention effectiveness.

Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population， intervention， comparison and outcome （PICO） question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis （PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research： Reporting of in Vivo Experiments （ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.

Objective: To analyze the characteristics of alcohol poisoning cases among minors receiving pre hospital 120 emergency services in Zhengzhou, providing evidence for regional management strategies of alcohol poisoning among minors. Methods: A retrospective study was conducted on 1 630 alcohol poisoning cases (aged 0-18 years) from Zhengzhou s 120 emergency system during 2017-2019 and 2023. Data on gender, age, occurrence timeframes were analyzed using t-test and χ 2 test for intergroup comparisons. Results: Annual cases were 291 (2017), 353 (2018), 483 (2019), and 503 (2023). Compared with 2017, male alcohol poisoning cases increased by 66.94% while female cases surged 104.35% by 2023. The peak incidence of alcohol poisoning among minors occurred among 16-18 year olds (85.40%), followed by 13-15 year olds (13.74%). Most cases clustered between 21:01-03:00 (60.43%), with male cases peaking at 22:01-23:00 (12.73%) and female cases peaking at 02:01-03:00 ( 11.25 %). Between 00:01-03:00, male cases progressively decreased while female cases increased. Severity distribution showed 355 mild cases (21.78%), 1 035 moderate cases (63.50%), and 240 severe cases (14.72%). Conclusions Zhengzhou region has experienced sustained growth in underage alcohol poisoning cases, predominantly occurring from evening to early morning with moderate severity, female cases demonstrate faster growth rates. Multifaceted regulatory measures should be implemented to strengthen supervision of underage drinking behaviors.

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective The relationship between serum uric acid(UA)levels and gait kinematics characteristics in patients with cerebral small vessel disease(CSVD)was investigated.Methods Retrospective analysis was conducted on patients with CSVD from outparient clinics of the Neurology and Rehabilitation Department of Zhongshan Hospital affiliated with Guangzhou University of Chinese Medicine from January 2023 to December 2023.The general information of patients were collected and the gait of patients was analyzed using three-dimensional gait analysis.Patients were then divided into mild gait disorder group(0-1 points),moderate gait disorder group(2-3 points),and severe gait dysfunction group(4-5 points)based on gait results.The total burden of CSVD imaging and serum results such as UA were collected.The relationship between UA level and CSVD gait disorders was analyzed.Results This study recruited 105 CSVD patients.Patients were divided into different groups based on the severity of their gait disorder including 40 in the mild group,49 in the moderate group,and 16 in the severe group.The blood uric acid level in the moderate group(358.43±13.44)μmol/L was higher than that in the mild group(336.00±12.48)μmol/L,and the blood uric acid level in the severe group(289.94±11.88)μmol/L was lower than that in the mild and moderate groups(P<0.05).The MoCA score in the severe gait disorder group(21.38±0.13)was lower than that in the mild and moderate groups(28.05±0.09 vs.25.22±0.10)(P<0.05).The step width of the CSVD severe load group was(13.26±2.80)cm compared to the light and moderate load groups[(11.22±1.70)cm vs.(11.65±2.70)cm]increased(P<0.05),and the left swing phase in the severe group(35.90%)decreased compared to the mild and moderate groups(38.50%vs.37.20%)(P<0.05).Spearman correlation analysis showed a negative correlation between UA levels and CMB(r=-0.20,P=0.04).Hyperuricemia was negatively correlated with brain atrophy(r=-0.20,P=0.04).In patients with mild to moderate gait disorders,there was a positive correlation between hyperuricemia and the total burden of gait disorders(r=0.25,P=0.02),and hyperuricemia and right gait speed(r=-0.22,P=0.04),Right stride(r=-0.29,P<0.01),Left step speed(r=-0.32,P<0.01),Left step frequency(r=-0.29,P<0.01),The left stride was negatively correlated(r=-0.26,P=0.01).Conclusion In CSVD patients with mild to moderate gait disorders,the levels of uric acid and hyperuricemia are positively correlated with the total burden of gait disorders.The gait disorders are mainly characterized by reduced bilateral pace,bilateral stride,and left step frequency.

Objective·To identify relevant biomarkers for patients with coronavirus disease 2019-associated kidney injury(COVID-19-associated KI)and explore the mechanisms underlying the involvement of severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)proteins in infection-related KI by affecting the interactions between renal cells and macrophages.Methods·A retrospective analysis was conducted on the clinical characteristics of COVID-19 patients with KI treated in Shanghai Ninth,People's,hospital from December 2022 to February 2023.Serum levels of inflammatory factors and chemokines were measured by using enzyme-linked immunosorbent assay(ELISA).In vitro,human macrophage cell line THP-1 cells were stimulated with recombinant S1 subunit protein derived from SARS-CoV-2 spike protein.The cells and culture supernatants were collected to detect the levels of inflammatory factors and chemokines by using quantitative real-time PCR(qRT-PCR)and ELISA.Conditioned medium was prepared from the cell culture supernatants of S1-stimulated THP-1 cells and used to stimulate human renal epithelial cells(HK-2)in vitro to assess cytokine secretion.Antibody blocking experiments were performed to analyze the effects of the conditioned medium on the production of cytokines in HK-2 cells.Results·Among 39 patients with COVID-19,8(20.50%)had creatinine levels above the reference interval,which indicated the occurrence of KI.The levels of peripheral tumor necrosis factor-α(TNF-α)in the COVID-19 patient with KI group[(18.33±8.20)pg/mL]were significantly higher than those in the non-KI group[(11.88±6.50)pg/mL](P=0.015).In vitro assay has shown that S1-spike protein stimulation promoted the level of gene transcription and production of TNF-α,interleukin-1β(IL-1β)and chemokine C-X-C motif ligand 10(CXCL10)in THP-1 macrophage cells(P＜0.001).Furthermore,the conditioned medium from S1-stimulated THP-1 cells promoted the secretion of TNF-α,IL-1β and CXCL10 by HK-2 cells(P=0.005).When anti-TNF-α antibody(Infliximab)was used to block TNF-α in the culture supernatants from S1-stimulated THP-1 cells,the secretion level of TNF-α by HK-2 cells decreased dramatically(P＜0.001).Conclusion·TNF-α levels increase significantly in COVID-19 patients with KI,implying the significance of TNF-α in the occurrence of COVID-19-associated KI.In vitro experiments confirm that the S1 protein induces TNF-α secretion from THP-1 cells,leading to increased inflammatory responses in renal cells,which may contribute to the development of COVID-19-associated KI.Therefore,targeting TNF-α may become an alternative strategy to reduce the occurrence of COVID-19-associated KI.

Objective To analyze the application characteristics,trends,and special advantages of anti-infection research using the Bayesian method,and to provide methodological reference for the development of anti-infection research.Methods PubMed,CNKI and WanFang Data were electronically searched for the studies on anti-infection using Bayesian method published from January 1,2015 to November 21,2023.The relevant information of publication time,anti-infection type,sample size,Bayesian characteristics and Bayesian application pattern were analyzed descriptively and reviewed.Results A total of 86 studies were included,of which 41.9％were observational studies,only 7.0％were enterprise-initiated studies,and 48.8％were mentioning prior information studies.There was no domestic intervention study.The application characteristics and advantages of Bayesian method in intervention study,observational study and pharmacokinetic study are different.In intervention researches and observational researches,the application of Bayesian design decision and the application of Bayesian analysis and estimation accounts for 69.2％and 52.8％at most,respectively.Conclusions The Bayesian method is flexible,can be used for small sample sizes and complex model research,and can deal with uncertainty.In intervention studies in the field of anti-infection in China,the Bayesian method has not been applied widely.Only a handful of studies applying Bayesian method have been initiated by companies.In the future,it is still necessary to promote the advantages and application scenarios of Bayesian methods in the field of anti-infection research and strengthen the standardization of the application of Bayesian method.

Objective:To explore the expression and ultrastructure distribution of cofilin and its potential mecha-nisms in postsynaptic mitochondrial anchoring and synaptic plasticity in the pre-B?tzinger complex(pre-B?tC)in rats.Methods:Using neurokinin 1 receptor(NK1R)as a morphological marker of the pre-B?tC,we examined the expres-sion and ultrastructure distribution of cofilin in pre-B?tC neurons of normoxic(NOR)and acute intermittent hypoxic(AIH)rats by combining Western blot,RT-qPCR,immunofluorescence,and immunoelectron microscopy.Results:Cofilin was expressed in the nuclei,somata and dendrites of NK1R-positive neurons in the pre-B?tC and its expression decreased after AIH intervention in this region detected.The results of immunoelectron microscopy showed that cofilin was expressed in the dendritic spines and postsynaptic filamentous or flocculent structures of pre-B?tC neurons.A total of 317 synapses were detected in pre-B?tC(NOR:122;AIH:195).In the NOR group,65.6％of the postsynaptic had cofilin expression,while in the AIH group,the proportion decreased to 47.2％.Combining with the role of cofilin in the regulation of actin severing,it is suggested that the severing effect of cofilin on postsynaptic actin is weakened af-ter AIH intervention,which may further enhance the postsynaptic mitochondrial anchoring.Conclusion:Cofilin,an ac-tin binding protein,plays a crucial role in regulating shearing and depolymerization of actin.Decreased cofilin expres-sion induced by AIH suggests an enhanced actin polymerization,which may be involved in the postsynaptic anchoring of mitochondria and the regulation of synaptic plasticity in the pre-B?tC.

Background:Acute pancreatitis(AP)is a common disease of the digestive system,among which severe acute pancreatitis(SAP)has a high mortality rate.Finding more accurate and convenient methods for early recognition of SAP is one of the major challenges in clinical treatment.Aims:To explore the application value of the controlled attenuation parameter(CAP)of ultrasound elastography in predicting SAP.Methods:A retrospective cohort study was conducted involving 135 AP patients admitted to Jiading Branch of Shanghai General Hospital from February to October 2024.Patients were categorized into non-SAP and SAP groups according to the severity of the disease.Clinical data,local complications,laboratory indicators,and CAP were compared between the two groups.Univariate and multivariate Logistic regression analyses were used to identify independent risk factors for SAP.A SAP prediction model based on CAP was constructed according to the identified risk factors and the minimum Akaike information criterion(AIC).ROC curve and Bootstrap method were used to evaluate the efficacy of the prediction model and conduct internal validation,respectively.Results:There were statistically significant differences between the non-SAP group and SAP group in body mass index(BMI),incidence of hyperlipidemia,etiological composition,incidence of pleural and ascitic fluid,length of hospital stay,incidence of peripancreatic effusion,incidence of pancreatic necrosis,white blood cell count(WBC),D-dimer(D-D)level,blood glucose,triglyceride(TG),C-reactive protein(CRP),neutrophil count,procalcitonin(PCT),interleukin-6(IL-6),free triiodothyronine(FT3),and CAP(all P<0.05).Multivariate Logistic regression analysis showed that pancreatic necrosis(OR=13.39,95%CI:3.10-57.94,P<0.001)and CAP(OR=1.01,95%CI:1.01-1.02,P=0.038)were independent risk factors for SAP.The SAP prediction model based on CAP was formulated as:Logit(P)=-5.884+0.010×CAP+2.839×pancreatic necrosis+0.169×D-D+0.132×blood glucose+0.006×CRP.The model showed an area under the curve(AUC)of 0.834 for predicting SAP,which was superior to CAP alone(P<0.05).Internal validation indicated that the prediction model had high stability and accuracy(C-index=0.808).Conclusions:The prediction model constructed based on CAP has good clinical value for predicting SAP,providing a new perspective and tool for early identification and prognostic assessment of AP.