Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

Objective To study the photodynamic performance and the killing effect of photodynamic therapy on lung cancer of novel chlorin compounds 2-（4-（5,15,20-triphenyl-7H,8H-porphyrin-10-yl） phenoxy） acetic acid（D1）and 4-（4-（5,15,20-triphenyl-7H,8H-porphyrin-10-yl） phenoxy） butanoic acid （D2）. Methods The ultraviolet visible absorption spectrum and fluorescence spectrum of D1 and D2 were determined. The singlet oxygen generation capacity of D1 and D2 was measured by using DPBF as singlet oxygen capture agent. Fluorescence assay was used to detect the cellular phagocytosis rate of the compounds in A549 cells, and MTT assay was used to detect their dark toxicity and phototoxicity. A nude mouse model of lung cancer was established to investigate the antitumor activity of the compounds mediated photodynamic action in vivo, and the blood concentration of D2 in nude mice, its distribution in tumor tissue and skin tissue were further detected. Results D1 and D2 had strong absorption at 652 nm with the best excitation wavelength at 429 nm and 427 nm, and the optimal emission wavelength was at about 659 nm. They also had a higher singlet oxygen generation rate than the control drug m-THPC. D1 and D2 had no dark toxicity at concentrations below 10 μmol/L, and could be ingested by A549 cells, basically reaching saturation in 18~24 hours. After laser irradiation at 650 nm wavelength, D1 and D2 showed significant antitumor activity in vivo and in vitro （P<0.01）. However, D2 could selectively accumulate in tumor tissues after administration, and the optimal treatment time was less than 30 min after administration. Conclusion D2 had excellent photodynamic antitumor activity and could selectively aggregate in tumor tissues, which had the potential to be a candidate drug for photosensitizer and treatment of lung cancer with independent intellectual property rights, and was worth further research.

ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

Obesity is a chronic low-grade inflammation and a risk factor for diseases such as diabetes， hypertension， dyslipidemia， and malignant tumors， demonstrating an increasingly grim development situation. The nuclear factor-kappa B （NF-κB） signaling pathway is a key signaling pathway involved in the immune response and inflammatory response. In obese individuals， the expression of NF-κB is overactivated， which leads to abnormal inflammatory responses in the body. Therefore， it is expected to alleviate inflammation and treat obesity by regulating the NF-κB signaling pathway， which has been proven effective by a large number of studies. The available studies on the NF-κB signaling pathway mostly focus on tumors， and there is no systematic review of the mechanism of this pathway in mediating obesity and the traditional Chinese medicine （TCM） treatment. We reviewed the research progress in the pathological and physiological processes of obesity mediated by NF-κB signaling pathway and TCM treatment， aiming to give insights into the clinical treatment of obesity with TCM and provide reference targets and research directions for exploring the biological foundations and the development of new TCM preparations.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

AIM:To investigate the effects of total flavonoids of Pterocarya hupehensis Skan(PHSTF)on dex-tran sulfate sodium(DSS)-induced ulcerative colitis(UC)mouse model and lipopolysaccharide(LPS)-stimulated RAW264.7 macrophages.METHODS:Thirty-six male C57BL/6J mice(6 to 8 weeks old,SPF grade)were randomly di-vided into 6 groups:negative control(NC)group,3%DSS-induced model group,mesalazine(300 mg·kg-1·d-1)group,and low-dose(62.5 mg·kg-1·d-1),medium-dose(125 mg·kg-1·d-1)and high-dose(250 mg·kg-1·d-1)PHSTF treatment groups,with 6 mice in each group.The mice in NC group received distilled water,while those in other groups were treated with a 3%DSS solution for 7 d to induce the UC model.On the 1st day of DSS administration,the mice in treatment groups received the corresponding agents via oral gavage for 10 d,while those in NC and model groups were gavaged with distilled water.Throughout the study,the effects of PHSTF on body weight,fecal blood,and colon length were measured and recorded daily.Histopathological changes in colon tissues were assessed using hematoxylin-eosin staining.The levels of the pro-inflammatory cytokine interleukin-1β(IL-1β)and the anti-inflammatory cytokine IL-10 in colon tissues were quantified using ELISA.The LPS-induced RAW264.7 macrophage model was employed to evaluate the cellular effects of PHSTF.Cell viability was assessed by CCK-8 assay,and cell morphology was observed under a microscope.The mRNA expression of inflammatory markers[IL-1β,inducible nitric oxide synthase(iNOS),IL-10 and arginase-1(Arg-1)]was measured by RT-qPCR.Western blot and immunofluorescence double labeling were used to detect the protein expression of macrophage polarization markers(iNOS,CD206 and Arg-1).Finally,immunohistochemistry(IHC)was utilized to as-sess protein expression of iNOS in colon tissues.RESULTS:Compared to the DSS-induced UC model group,PHSTF sig-nificantly improved several parameters,including weight loss(P<0.05),rectal bleeding,and colon shortening in DSS-treated mice.PHSTF also reduced histopathological damage and inflammatory cell infiltration in the colon.It decreased IL-1β levels(P<0.05)and increased IL-10 levels(P<0.05)in colon tissues.In LPS-induced RAW264.7 cells,PHSTF reduced the mRNA expression of IL-1β and iNOS(P<0.01),while upregulating the mRNA expression of IL-10 and Arg-1(P<0.01).Additionally,PHSTF decreased iNOS protein expression(P<0.01)and elevated the expression of Arg-1 and CD206 proteins(P<0.01).IHC analysis further confirmed that PHSTF downregulated iNOS protein expression in colon tissues.CONCLUSION:Treatment with PHSTF promotes the polarization of macrophages from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype,thereby alleviating inflammation in colon tissue and ameliorating ulcer-ative colitis in mice.

Objective:To analyze the relationship between serum GATA binding protein-3(GATA3)and eosinophilic cationic protein(ECP)and lung function indexes in children with obliterated bronchiolitis and their predictive value for poor prognosis.Methods:96 children with bronchiolitis obliterans admitted to our hospital from January 2022 to July 2024 were divided into mild group(34 cases)and moderate to severe group(62 cases)according to their severity.Serum GATA3,ECP levels and lung function indexes were detected in the two groups,and Pearson correlation was used to analyze the correlation between serum GATA3,ECP levels and lung function indexes.According to the levels of serum GATA3 and ECP,they were divided into high GATA3 group and low GATA3 group,high ECP group and low ECP group.The incidence of adverse prognosis in different groups was compared.Area under ROC curve(AUC)was used to evaluate the predictive efficacy of serum GATA3 combined with ECP for poor prognosis.Results:The levels of serum GATA3 and ECP in moderate and severe group were higher than those in mild group(P＜0.05).By Pearson correlation analysis,serum GATA3 and ECP levels were negatively correlated with tidal volume(VT),peak-to-expiratory volume(VPEFNE)and peak-to-time ratio(TPTEF/TE)in children with bronchiolitis obliterans(P＜0.05).The incidence of adverse prognosis in the high GATA3 group was higher than that in the low GATA3 group,and the incidence of adverse prognosis in the high ECP group was higher than that in the low ECP group(P＜0.05).ROC curve analysis showed that serum GATA3 combined with ECP had a sensitivity of 90.45％,specificity of 52.37％and AUC of 0.893 in predicting adverse prognosis of children with bronchiolitis obliterans.Conclusion:Serum GATA3 and ECP are closely related to pulmonary function indexes in children with bronchiolitis obliterans.The combined effect of GATA3 and ECP is better in predicting poor prognosis,and it has a certain suggestive role in evaluating the disease.

The new era imposes heightened demands on medical professionals,who must not only possess a solid theoretical foundation but also exhibit strong practical skills and innovative capabilities.The quality of medical func-tional laboratory construction is crucial for cultivating high-caliber medical talents.In light of the current developmental status and trends regarding functional experiment teaching within Chinese higher education institutions,particularly the disparities in development across various regions and institutions,the Functional Experiment Teaching Committee of the Chinese Pathophysiology Society has developed an expert consensus on laboratory construction standards.This consensus was established through comprehensive investigations,research,and extensive discussions to provide a reference for di-verse institutions to continuously enhance their levels of laboratory construction.