Objective To explore whether the cognitive function of central obese mice is decreased by affecting the expression of brain-derived neurotrophic factor(BDNF)in hippocampus.Methods Healthy mice at the neonatal stage were divided into normal group and model group at random.To obtain the obese models,model group mice were injected at cervical subcutaneous with 10％L-monosodium glutamate(MSG;3 mg·g-1·d-1)for 5 days.The normal group was injected with the same dose of 0.9％NaCl.In addition,mice were removed according to the requirements.Finally,we got 8 mice in each group.The following parameters were compared:body weight,Lee's index and levels of the serum lipid.The BDNF expression levels in hippocampal tissue were measured using western blotting.Results At the 8th weekend,the body weight of the model and normal groups was(49.01±2.47)and(41.27±3.28)g;the Lee's indexes were(357.14±9.24)and(330.15±7.37)g1/3·cm-1;triglyceride levels were(1.37±0.52)and(0.73±0.31)mmol·L-1;total cholesterol levels were(2.98±0.18)and(1.98±0.30)mmol·L-1;low-density lipoprotein levels were(0.31±0.03)and(0.24±0.02)mmol·L-1;high-density lipoprotein levels were(2.70±0.15)and(1.98±0.40)mmol·L-1;the differences were statistically significant(P＜0.05,P＜0.01),which were consistent with the characteristics of the central obesity model.The BDNF protein expression levels in the hippocampus of the model and normal groups were 6.02 x 104±626.53 and 7.04 x 104±1 440.81,which has statistically significant(P＜0.01).Conclusion The cognitive function of central obese mice may be decreased by down-regulating the expression of BDNF in hippocampus.

Trajectories refer to the motion paths followed by objects in space. Disease trajectories, which depict the evolution of disease processes over time, are significantly important for assessing diseases, formulating treatment strategies, and predicting prognosis. Critical illness is one of the leading causes of death. With advances in critical care medicine, there is increasing focus on the occurrence and development of critical illnesses. Understanding the development trajectory of critical illness is helpful to promote the early identification, intervention, and treatment of high-risk patients, avoid prolongation of the course of disease, reduce the risk of multiple organ failure, and provide important reference for the development of targeted prevention and intervention strategies, thereby reducing the incidence and mortality of critical illness. In recent years, various trajectory modeling methods have been applied to the study of critical illness. These include, but are not limited to, latent growth curve modeling (LGCM), growth mixture modeling (GMM), group-based trajectory modeling (GBTM), latent transition analysis (LTA), and latent class analysis (LCA). The aim of this article is to review the definition of disease trajectories, the methods used in trajectory modeling, and their applications and future prospects in critical illness research.

Objective To explore the effects of different acupoints,different target organs,and different interventions on acupoint efficacy based on ACU&MOX-DATA platform;To illustrate and visualize whether the above factors have the characteristics of"specific effect"or"common effect"of acupoint efficacy.Methods The multi-source heterogeneous data were integrated from the original omics data and public omics data.After standardization,differential gene analysis,disease pathology network analysis,and enrichment analysis were performed using Batch Search and Stimulation Mode modules in ACU&MOX-DATA platform under the conditions of different acupoints,different target organs,and different interventions.Results Under the same disease state and the same intervention,there were differences in effects among different acupoints;under the same disease state,the same acupoint and intervention,the responses produced by different target organs were not completely consistent;under the same disease state and acupoint,there were differences in effects among different intervention measures.Conclusion Based on the analysis of ACU&MOX-DATA platform,it is preliminary clear that acupoints,target organs,and interventions are the key factors affecting acupoint efficacy.Meanwhile,the above results have indicated that there are specific or common regulatory characteristics of acupoint efficacy.Applying ACU&MOX-DATA platform to analyze and visualize the critical scientific problems in the field of acupuncture and moxibustion can provide references for deepening acupoint cognition,guiding clinical acupoint selection,and improving clinical efficacy.

Objective To systematically evaluate the risk factors for complicating pulmonary hyperten-sion (PH) in the patients with chronic obstructive pulmonary disease (COPD).Methods The databases of PubMed,Embase,Cochrane Library,VIP,CNKI,China Biomedical Literature Service System and Wanfang Database were retrieved by computer.The retrieval time limitation was from the establishment of the database to September 2023.The literatures on the risk factors for complicating PH in the patients with COPD was col-lected and the meta analysis was conducted by using the RevMan 5.3 software.Results A total of 18 articles were included,including 8 prospective studies and 10 retrospective studies,with a total of 4361 COPD pa-tients,including 8 risk factors.The meta analysis results showed that the risk factors with statistical signifi-cance included C-reactive protein (CRP)[OR(95％CI)=2.17 (1.49-3.14)],interleukin-6 (IL-6)[OR(95％CI)=2.07 (1.59-2.70)],tumor necrosis factor-α (TNF-α)[OR(95％CI)=1.69 (1.28-2.22)],brain na-triuretic peptide (BNP)[OR(95％CI)=1.58 (1.35-1.85)],D-dimer (D-D)[OR(95％CI)=2.58 (1.99-3.35)],forced expiratory volume in one second (FEV1)[OR(95％CI)=2.49 (1.93-3.20)]and mean plate-let volume (MPV)[OR(95％CI)=1.69 (1.19-2.39)].Conclusion CRP,IL-6,TNF-α,BNP,D-D,FEV1 and MPV are the risk factors for complicating PH in COPD patients.

Objective To investigate the protective effect of exogenous leptin against focal cerebral ischemia-reperfusion(I/R)injury in mice and explore the underlying mechanism.Methods A total of 100 C57BL/6 mice were randomly divided into 5 groups,including a sham-operated group,cerebral I/R model group,and 3 leptin treatment groups with intraperitoneal injections of 0.5,1.0 or 2.0 leptin immediately after occlusion of the internal carotid artery.At 24 h after reperfusion,neurological function scores of the mice were assessed,and TTC staining was used to determine the area of cerebral infarction.The pathological changes in the cortical brain tissue of the mice were observed using HE staining,and degenerative damage of the cortical neurons were assessed with Fluoro-Jade C staining.The expression of glial fibrillary acidic protein in cortical brain tissues was detected using immunohistochemistry and Western blotting.In another 45 C57BL/6 mice with sham operation,I/R modeling,or leptin(1 mg/kg)treatment,glutamic acid in the cortical brain tissue was detected using glutamate assay,and cortical glutamate-aspartate transporter(GLAST)and glutamate transporter-1(GLT-1)protein expressions were detected using immunohistochemistry.Results Compared with the I/R model mice,the leptin-treated mice had significantly lower neurological deficit scores,smaller cerebral infarct area,milder pathologies in the cortical brain tissue,and lessened cortical neuronal damage with normal morphology and less excessive proliferation of the astrocytes.Leptin treatment significantly up-regulated the expressions of GLT-1 and GLAST and lowered the content of glutamic acid in the brain tissue of the I/R mice.Conclusion Exogenous leptin has obvious neuroprotective effect against cerebral I/R injury in mice,mediated probably by controlling excessive astrocyte proliferation and up-regulating cortical GLT-1 and GLAST expressions to reduce glutamate-mediated excitotoxic injury of the astrocytes.

Objective To investigate the protective effect of exogenous leptin against focal cerebral ischemia-reperfusion(I/R)injury in mice and explore the underlying mechanism.Methods A total of 100 C57BL/6 mice were randomly divided into 5 groups,including a sham-operated group,cerebral I/R model group,and 3 leptin treatment groups with intraperitoneal injections of 0.5,1.0 or 2.0 leptin immediately after occlusion of the internal carotid artery.At 24 h after reperfusion,neurological function scores of the mice were assessed,and TTC staining was used to determine the area of cerebral infarction.The pathological changes in the cortical brain tissue of the mice were observed using HE staining,and degenerative damage of the cortical neurons were assessed with Fluoro-Jade C staining.The expression of glial fibrillary acidic protein in cortical brain tissues was detected using immunohistochemistry and Western blotting.In another 45 C57BL/6 mice with sham operation,I/R modeling,or leptin(1 mg/kg)treatment,glutamic acid in the cortical brain tissue was detected using glutamate assay,and cortical glutamate-aspartate transporter(GLAST)and glutamate transporter-1(GLT-1)protein expressions were detected using immunohistochemistry.Results Compared with the I/R model mice,the leptin-treated mice had significantly lower neurological deficit scores,smaller cerebral infarct area,milder pathologies in the cortical brain tissue,and lessened cortical neuronal damage with normal morphology and less excessive proliferation of the astrocytes.Leptin treatment significantly up-regulated the expressions of GLT-1 and GLAST and lowered the content of glutamic acid in the brain tissue of the I/R mice.Conclusion Exogenous leptin has obvious neuroprotective effect against cerebral I/R injury in mice,mediated probably by controlling excessive astrocyte proliferation and up-regulating cortical GLT-1 and GLAST expressions to reduce glutamate-mediated excitotoxic injury of the astrocytes.

Patients with chronic kidney disease (CKD) have a relatively high risk of cardiovascular disease (CVD). Risk stratification guided by CVD risk prediction models is essential for managing CKD populations. We reviewed the outcome events, predictive variables, modeling methods, and predictive performance of CVD risk prediction models in CKD populations. We found a large variability in predictive outcomes, number of predictors, and sample sizes across studies. The models tended to overestimate the CVD risk of CKD populations. There are few independently validated or constructed CVD risk prediction models for CKD populations in developing countries, and in particular, there is a lack of independent external validation studies of model calibration. Future studies should comply with the reporting standards of risk prediction models to better support the application of CVD risk prediction models for CKD populations.

Objective:To explore the effects of short-term particulate matter(PM)exposure and the melatonin receptor 1B(MTNR1B)gene on triglyceride-glucose(TyG)index utilizing data from Fang-shan Family-based Ischemic Stroke Study in China(FISSIC).Methods:Probands and their relatives from 9 rural areas in Fangshan District,Beijing,were included in the study.PM data were obtained from fixed monitoring stations of the National Air Pollution Monitoring System.TyG index was calculated by fasting triglyceride and glucose concentrations.The associations of short-term PM exposure and rs10830963 polymorphism of the MTNR1B gene with the TyG index were assessed using mixed linear models,in which covariates such as age,sex,and lifestyles were adjusted for.Gene-environment inter-action analysis was furtherly performed using the maximum likelihood methods to explore the potential effect modifier role of rs10830963 polymorphism in the association of PM with TyG index.Results:A total of 4 395 participants from 2 084 families were included in the study,and the mean age of the study participants was(58.98±8.68)years,with 53.90％females.The results of association analyses showed that for every 10 μg/m3 increase in PM2.5 concentration,TyG index increased by 0.017(95％CI:0.007-0.027),while for per 10 μg/m3 increment in PM1o,TyG index increased by 0.010(95％CI:0.003-0.017).And the associations all had lagged effects.In addition,there was a positive association between the rs10830963 polymorphism and the TyG index.For per increase in risk allele G,TyG index was elevated by 0.040(95％CI:0.004-0.076).The TyG index was 0.079(95％CI:0.005-0.152)higher in carriers of the GG genotype compared with carriers of the CC genotype.The inter-action of rs10830963 polymorphism with PM exposure had not been found to be statistically significant in the present study.Conclusion:Short-term exposure to PM2.5 and PM10 were associated with higher TyG index.The G allele of rs10830963 polymorphism in the MTNR1B gene was associated with the elevated TyG index.

Objective:To evaluate the health benefits and intervention efficiency of different strategies of initiating antihypertensive therapy for the primary prevention of cardiovascular diseases in a community-based Chinese population from the Chinese electronic health records research in Yinzhou(CHERRY)study.Methods:A decision-analytic Markov model was used to simulate and compare different antihy-pertensive initiation strategies,including:Strategy 1,initiation of antihypertensive therapy for Chinese adults with systolic blood pressure(SBP)≥140 mmHg(2020 Chinese guideline on the primary preven-tion of cardiovascular diseases);Strategy 2,initiation of antihypertensive therapy for Chinese adults with SBP≥130 mmHg;Strategy 3,initiation of antihypertensive therapy for Chinese adults with SBP ≥140 mmHg,or with SBP between 130 and 140 mmHg and at high risk of cardiovascular diseases(2017 American College of Cardiology/American Heart Association guideline for the prevention,detection,evaluation,and management of high blood pressure in adults);Strategy 4,initiation of antihypertensive therapy for Chinese adults with SBP≥ 160 mmHg,or with SBP between 140 and 160 mmHg and at high risk of car-diovascular diseases(2019 United Kingdom National Institute for Health and Care Excellence guideline for the hypertension in adults:Diagnosis and management).The high 10-year cardiovascular risk was de-fined as the predicted risk over 10％based on the 2019 World Health Organization cardiovascular disease risk charts.Different strategies were simulated by the Markov model for ten years(cycles),with parame-ters mainly from the CHERRY study or published literature.After ten cycles of simulation,the numbers of quality-adjusted life years(QALY),cardiovascular events and all-cause deaths were calculated to evaluate the health benefits of each strategy,and the numbers needed to treat(NNT)for each cardiovas-cular event or all-cause death could be prevented were calculated to assess the intervention efficiency.One-way sensitivity analysis on the uncertainty of incidence rates of cardiovascular disease and probabilis-tic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.Results:A to-tal of 213 987 Chinese adults aged 35-79 years without cardiovascular diseases were included.Com-pared with strategy 1,the number of cardiovascular events that could be prevented in strategy 2 increased by 666(95％UI:334-975),while the NNT per cardiovascular event prevented increased by 10(95％UI:7-20).In contrast to strategy 1,the number of cardiovascular events that could be prevented in strategy 3 increased by 388(95％UI:194-569),and the NNT per cardiovascular event prevented decreased by 6(95％UI:4-12),suggesting that strategy 3 had better health benefits and intervention efficiency.Compared to strategy 1,although the number of cardiovascular events that could be prevented decreased by 193(95％UI:98-281)in strategy 4,the NNT per cardiovascular event prevented decreased by 18(95％UI:13-37)with better efficiency.The results were consistent in the sensitivity analyses.Conclusion:When initiating antihypertensive therapy in an economically developed area of China,the strategy combined with cardiovascular risk assessment is more efficient than those purely based on the SBP threshold.The cardiovascular risk assessment strategy with different SBP thresholds is suggested to balance health benefits and intervention efficiency in diverse populations.

Analyzing polysorbate 20(PS20)composition and the impact of each component on stability and safety is crucial due to formulation variations and individual tolerance.The similar structures and polarities of PS20 components make accurate separation,identification,and quantification challenging.In this work,a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography(HPLC)with charged aerosol detection(CAD)to separate 18 key components with multiple esters.The separated components were characterized by ultra-high-performance liquid chro-matography-quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)with an identical gradient as the HPLC-CAD analysis.The polysorbate compound database and library were expanded over 7-time compared to the commercial database.The method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process relationship.UHPLC-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different sources.The method observed the impact of 4 degradation conditions on peak components,identifying stable components and their tendencies to change.HPLC-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences,distinguishing quasi products.