Laboratory animals are essential in scientific research and experimental teaching in colleges and universities. Disciplines such as life sciences, medicine, pharmacy, chemistry, and biomedical engineering heavily rely on animal experiments. The standardized barrier environmental facility for laboratory animals provides a fundamental platform for stable, scientific, and reliable animal experiment results. Rigorous access management for such facilities is a vital safeguard for maintaining standardized operations of facilities, controlling the quality and stability of laboratory animals, mitigating pathogen contamination risks among animals and laboratory staff, and preventing biosecurity incidents such as zoonotic disease outbreaks. Taking the small-scale barrier facilities for laboratory rats and mice at Nanjing University's Xianlin Campus, operational since 2019, as an example, this study focuses on the safety access management system of these facilities. Based on five years of operational data and accumulated experience in studying and optimizing the access management system, this study, from the perspectives of management system development and the formulation and implementation of standard operating procedures, reviews five aspects of access management: personnel access, animals access, material access, equipment access, and air circulation control. Furthermore, these aspects are systematically analyzed and summarized to serve as a reference for the construction and management of the laboratory animal facilities in universities, while also contributing to scientific research, public health security, and the well-being of experimental personnel.

Objective: To investigate the correlation between peripheral blood CD4 T lymphocyte subsets and delayed graft function (DGF) and short-term prognosis in kidney transplant recipients, so as to help optimize preoperative assessment for kidney transplantation and provide insights into the immune mechanisms of DGF. Methods: A retrospective analysis was conducted on the clinical data of 103 kidney transplant recipients at the First Affiliated Hospital of Soochow University during Jun.2022 and Oct.2023. A total of 61 recipients were finally included in this study, and were categorized into two groups based on postoperative renal function recovery：the DGF group (n=20) and the immediate graft function (IGF) group (n=41).Flow cytometry was used to detect the proportions and absolute counts of various CD4 T lymphocyte subsets in the peripheral blood on postoperative day 7.The clinical data and peripheral blood lymphocyte subsets between the two groups were compared.For the subsets that exhibited significant differences, the correlation between their proportions and absolute counts and serum creatinine (Scr) levels on postoperative day 7 was further analyzed in the DGF group.Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated to evaluate the predictive performance of the most strongly correlated CD4 T lymphocyte subset in terms of proportion and absolute count for short-term renal function. Results: There were no statistically significant differences in the proportions and absolute counts of Th1, Th2, Th17, and regulatory T cells (Treg) between the DGF and IGF groups (P>0.05).The proportions and absolute counts of follicular helper T cells (Tfh) and PD-1 Tfh cells were significantly higher in the DGF group than in the IGF group (P＜0.000 1). The Scr levels at 1 month and 1 year postoperatively were significantly higher in the DGF group than in the IGF group (P＜0.01), while the estimated glomerular filtration rate (eGFR) was significantly lower in the DGF group compared with the IGF group (P＜0.01, P=0.02).Spearman correlation analysis showed that the proportions and absolute counts of Tfh and PD-1 Tfh cell subsets were positively correlated with the Scr level on post-operative day 7 in the DGF group (P＜0.05).The ROC curve demonstrated that the AUC for the proportion of PD-1 Tfh cells in predicting Scr and eGFR at 1 month after surgery was 0.73(95%CI:0.61-0.86) and 0.75 (95%CI:0.62-0.88), respectively.Additionally, the AUC for predicting Scr and eGFR at 1 year was 0.72(95%CI:0.59-0.86) and 0.70(95%CI:0.58-0.83), respectively. Conclusion: The increase in the proportions and absolute counts of Tfh and PD-1 Tfh cells is associated with postoperative DGF of renal transplant recipients, and the proportion of PD-1 Tfh cells may help predict the short-term renal function of recipients.

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Apurinic/apyrimidinic endonuclease 1(APE 1)is a multifunctional protein that plays important roles in DNA repair and regulation of gene expression.Because APE 1 is overexpressed in various cancers,it can serve as a cancer biomarker for aiding clinical diagnosis,guiding therapy,and monitoring prognosis.On this basis,a label-free fluorescent probe was designed based on the primer exchange reaction(PER)strategy for highly sensitive detection of APE 1 activity.In the absence of APE 1,the structure of catalytic hairpin(HP)was stable and could not form G-quadruplex.Therefore,the background fluorescence of this sensing system was very low due to the dissociation of thioflavin T(ThT).In the presence of APE 1,the apurinic/apyrimidinic(AP)site of HP was cleaved by APE 1 and a short nucleic acid fragment that acted as a primer to initiate PER was generated.After PER reaction,a large number of G-quadruplex were produced,which could specifically bind with ThT and resulted in significant increase of fluorescence signal.The combination of low background design of HP and PER amplification made this biosensor had high sensitivity with a detection limit(3σ)of 0.0008 U/mL.Furthermore,the primer sequence was directly generated by the cleavage of APE 1 without additional addition,which not only increased the specificity of the reaction,but also simplified the experiment procedure.Moreover,the use of label-free fluorescence signal reduced the cost of the experiment,and realized rapid detection of APE 1.Finally,this sensor was used to detect APE 1 in human serum samples with spiked recoveries of 91%-104%,proving great potential in study of biological enzyme.

Objective To investigate the effects of light-at-night exposure on anxiety and depression behaviors in mice and to explore the underlying neural mechanisms.Methods Six-week-old male C57BL/6J mice were randomly assigned to a control(Ctrl)group and a light-at-night exposure(LAN)group.Mice in the LAN group were exposed to 460 nm blue light for 1 h daily during the zeitgeber time(ZT)13-14 while the Ctrl group mice were maintained under a 12-h light/12-h dark cycle.Behavioral tests were conducted at different time points following LAN exposure to evaluate anxiety and depression behaviors in the mice.Immunofluorescence staining was used to observe the effect of LAN on c-fos expressions in the medial prefrontal cortex(mPFC),basal ateral amygdala(BLA),paraventricular nucleus(PVN)and paraventricular thalamus(PVT).ELISA was performed to measure changes in serum corticosterone,adrenocorticotropic hormone(ACTH)and corticotropin-releasing hormone(CRH)levels.Golgi staining was applied to measurethe dendritic spine density and morphology from mPFC and CA1.Western blotting analysis was conducted to detect expression levels of brain-derived neurotrophic factors(BDNFs),phosphorylated tropomyosin receptor kinase B(p-TrkB)/TrkB,postsynaptic density protein 95(PSD95)and synaptophysin(SYP)in the mPFC.Results Mice exhibited anxiety-like behaviors after 14 days of LAN exposure,with depression-like behaviors emerging after 28 days.LAN exposure of 28 days led to a significant increase in the number of c-fos-positive neurons in the mPFC,BLA,PVN and PVT(P＜0.05),resulted in elevated serum corticosterone levels(P＜0.01)and reduced protein expression levels of BDNF and SYP(P＜0.05).Furthermore,there was a marked decrease in synapse numbers and synaptic density in the mPFC(P＜0.01).Conclusion Prolonged exposure to blue light at night enhances neuronal activity in the mPFC and BLA and suppresses the BDNF/TrkB signaling pathway by activating the hypothalamic-pituitary-adrenal axis(HPA),thus leading to synaptic structural and functional damage and inducing anxiety and depression behaviors in mice.

Objective To explore the characteristics of the cross-sectional area(CSA)of the vagus nerve in a healthy population in Qujing,Yunnan,and its correlation with demographic characteristics.Methods High-resolution nerve ultrasound examinations were conducted on the vagus nerve of 201 healthy volunteers from a hospital in Qujing,Yunnan from September 2022 to March 2023.The CSA was measured through transverse scans of the vagus nerve.The correlation of vagus nerve CSA with age,body mass index(BMI),and gender was assessed.Results The mean CSA of the bilateral VN were 1.9 mm2(right)and 1.3 mm2(left),respectively.The average CSA of the right vagus nerve was significantly greater than that of the left(P<0.001).In the high-age group(>50 years),the average CSA of the right vagus nerve was significantly higher than that of the low-age group(≤50 years)(P=0.0142).However,there was no statistically significant difference in the average CSA of the right vagus nerve between the BMI>24 kg/m2 group and the≤24 kg/m2 group(P=0.0852).The average CSA of the left vagus nerve showed no statistically significant differences across different age groups and BMI groups(P>0.05),but the average CSA of the bilateral vagus nerve in the male group was greater than that in the female group,with a statistically significant difference(P<0.05).Correlation analysis further confirmed a negative correlation between the average CSA of the right vagus nerve and age(r=-0.17,P=0.0139).Multiple linear regression models indicated that age(P=0.007)and gender(P=0.001)were independent influencing factors for the average CSA of the right vagus nerve.Conclusion In the healthy population of Qujing,Yunnan,the CSA of the right vagus nerve is significantly greater than that of the left,and males also exhibit a significantly greater CSA than females.With increasing age,the vagus nerve gradually becomes thinner.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Acute kidney injury(AKI)remains a global public health problem with high incidence,high mortality rates,expensive medical costs,and limited treatment options.AKI can further progress to chronic kidney disease(CKD)and eventually end-stage renal disease(ESRD).Previous studies have shown that trauma,adverse drug reactions,surgery,and other factors are closely associated with AKI.With further in-depth exploration,the role of gut microbiota in AKI is gradually revealed.After AKI occurs,there are changes in the composition of gut microbiota,leading to disruption of the intestinal barrier,intestinal immune response,and bacterial translocation.Meanwhile,metabolites of gut microbiota can exacerbate the progression of AKI.Therefore,elucidating the specific mechanisms by which gut microbiota is involved in the occurrence and development of AKI can provide new insights from the perspective of intestinal microbiota for the prevention and treatment of AKI.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.