Obesity is a multi-factorial disease involving genetics, individual behavior, socio-economic status, and environmental factors, and has become a global public health issue. The food environment, as an external factor amenable to direct intervention, affects the development of obesity by shaping individual food acquisition and consumption behaviors. The food environment refers to the physical and social environment where food is accessible, and can be assessed from dimensions such as availability, accessibility, and affordability through geographic information system spatial analysis, field surveys, commercial databases, and questionnaires. Studies indicate that the food environment can influence obesity through the spatial shaping effects of dietary structure and sociobehavioral pathways. A healthy food environment is negatively correlated with the risk of obesity, whereas an unhealthy food environment is positively correlated with the risk of obesity. This paper reviews studies related to the correlation between the food environment and obesity, covering the prevalence of obesity, the definition and assessment methods of the food environment, and the mechanisms by which the food environment affects obesity. It summarizes food environment intervention strategies centered on urban planning, policies and regulations, and community education to provide a reference for obesity prevention and control.

ObjectiveTo address the key challenges in breast electrical impedance tomography (EIT) reconstruction including the severe ill‑posedness of the inverse problem, limited measurement information from the electrodes, low contrast of small lesions, as well as the common drawbacks of traditional reconstruction methods such as boundary blurring, low spatial resolution, and weak small-target detection capability, and to overcome the limitations of existing deep learning approaches namely low training efficiency, insufficient physical consistency, and substantial information loss during the low‑to‑high dimensional mapping process, this study proposes a multi‑scale attention and dynamic sparse mask fusion network (MADS‑Net). The proposed method aims to enhance high‑resolution reconstruction accuracy, small-lesion detectability, noise robustness, and computational efficiency in breast‑screening-oriented EIT, thereby providing a feasible solution for the application of EIT in breast functional imaging. MethodsThe proposed network adopts a strategy of “locate first, reconstruct later”. It realizes adaptive allocation of computational resources through a dynamic mask module, alleviates information loss in the low-to-high dimensional mapping process via a multi-scale attention mechanism, and embeds physical constraints to improve the physical rationality of reconstruction results. The performance of the proposed method was validated through systematic numerical simulations, agar phantom experiments, and porcine tissue experiments. Comparisons were made with mainstream methods including the Gauss-Newton algorithm, convolutional neural networks, U-Net, and Deep D-Bar. The image correlation coefficient (ICC), root mean square error (RMSE), and peak signal-to-noise ratio (PSNR) were adopted as quantitative evaluation metrics. Furthermore, lesion‑level evaluation metrics were introduced to assess the capability of different methods in reconstructing abnormal target boundaries and small‑sized target regions. ResultsExperimental results demonstrate that MADS-Net outperforms all comparison methods across all test scenarios. In numerical simulations, it achieves higher accuracy in target morphology and spatial location recovery as well as better background suppression. In agar phantom experiments, its detection and imaging reliability for small targets is significantly superior to the comparison methods. In porcine tissue experiments, the model maintains good generalization performance and can adapt to complex biological tissue imaging scenarios. Quantitative results show that MADS-Net achieves an average ICC of 0.917 6±0.048 8, an RMSE as low as0.060 6±0.031 6, and a PSNR of (23.893 9±2.685 3) dB. It successfully detects tiny targets as small as 5 mm within a 100 mm diameter sensing field, reduces the total training duration by 23.5% compared with the baseline method, and maintains stable reconstruction performance even under strong noise interference. ConclusionThe results demonstrate that MADS-Net achieves favorable EIT reconstruction performance in numerical simulations, agar phantom experiments, and porcine tissue experiments, even under common practical imaging challenges including low signal-to-noise ratio and blurred tissue boundaries. This study provides a methodological reference for further research on EIT in breast-screening-related scenarios and other medical functional imaging tasks, and also offers a low-cost, radiation-free alternative for breast lesion screening that aligns with the clinical demand for non-invasive diagnostic tools. It should be noted that real clinical breast data have not yet been used for validation in this study, and the clinical applicability of the proposed method requires further investigation. Future work will prioritize collecting multi-center real clinical breast datasets, and further optimize the model’s generalization ability to adapt to individual differences in breast tissue composition to promote its clinical application.

Objective To analyze the value of combined prediction of peripheral blood CD4+,CD3-CD16+CD56+,CD8+,CD19+for the risk of death in patients with Epstein-Barr virus-associated hemophagocytic syn-drome(EBV-HLH).Methods A total of 84 patients with EBV-HLH who were treated in Beijing Friendship Hospital Affiliated to Capital Medical University and Peking University First Hospital from May 2021 to A-pril 2023 were selected and divided into a death group(17 cases)and a survival group(67 cases)according to their survival outcomes within 6 months.The general information and peripheral blood T lymphocyte subsets of the two groups were compared,multivariate Logistic regression analysis was conducted to investigate the influencing factors of death in EBV-HLH patients,and receiver operating characteristic(ROC)curve was used to evaluate the predictive value of peripheral blood T lymphocyte subsets on death in EBV-HLH patients.Results The platelet count,hemoglobin,CD4+and CD3-CD16+CD56+levels in the death group were lower than those in the survival group,while the levels of CD8+and CD19+were higher than those in the survival group(P＜0.05).Multivariate Logistic regression analysis showed that platelet count,hemoglobin,CD4+,and CD3-CD16+CD56+were all independent protective factors for the death of EBV-HLH patients,while CD8+and CD19+were independent risk factors for the death of EBV-HLH patients(P＜0.05).The ROC curve results showed that the area under the curve of combined prediction of CD4+,CD8+,CD19+,CD3 CD16+CD56+for death in EBV-HLH patients was 0.923,with sensitivity and specificity of 94.12％and 80.60％,respectively,which were significantly higher than those predicted by each individual indicator(P＜0.05).Conclusion The abnormal expression of CD4+,CD3-CD16+CD56+,CD8+,and CD19+in peripheral blood of EBV-HLH patients is associated with their survival outcomes,and the combined prediction of CD4+,CD3-CD16+CD56+,CD8+,and CD19+has high reference value for predicting patients'death.

Objective To establish an animal model of osteoporosis combined with liver cirrhosis and conduct preliminary investigation into the effect of liver cirrhosis on bone loss in mice and the underlying mechanisms.Methods The experimental animals were 25 6-week-old female C57BL/6 mice with a body weight of approximately 20-22 g.A comorbidity model of liver cirrhosis and osteoporosis was established in the mice by ovariectomy combined with carbon tetrachloride(CCl4)induction.The mice were randomly assigned to 4 groups(n=5 in each group),including a control group,a liver cirrhosis group,an osteoporosis group,and a cirrhosis and osteoporosis comorbidity group.Pathological changes in the liver were observed via HE staining,Sirius Red staining,and serum liver function indicators.Bone mass and morphological changes were assessed using micro-CT and HE staining.ELISA,Western blot,and immunohistochemistry were performed to assess the expression of insulin-like growth factor-1(IGF-1)in serum and liver tissues.An additional IGF-1 intervention group was established to investigate the potential role of IGF-1 in the comorbidity of liver cirrhosis and osteoporosis,and changes in bone mass and morphology were analyzed via micro-CT and HE staining.Results Compared with the control and osteoporosis groups,the liver cirrhosis and cirrhosis-osteoporosis comorbidity groups exhibited significant inflammatory cell infiltration and collagen fiber deposition in liver tissues,along with markedly increased serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),and total bilirubin(TBIL)(P＜0.05).According to the Micro-CT and HE staining results,the cirrhosis-osteoporosis comorbidity group showed reduced bone mass and decreased trabecular numbers in the distal femur compared to those in the osteoporosis group,with the differences being statistically significant(P＜0.05).ELISA,Western blot,and immunohistochemistry demonstrated significantly reduced expression of IGF-1 in the liver and serum of the cirrhosis-osteoporosis comorbidity group(P＜0.05).Notably,exogenous IGF-1 treatment restored bone mass in mice with liver cirrhosis combined with osteoporosis(P＜0.05).Conclusion Through ovariectomy combined with CCl4 induction,a mouse model of liver cirrhosis combined with osteoporosis was successfully established.IGF-1 may serve as a potential molecular mechanism and therapeutic target mediating the liver cirrhosis-osteoporosis comorbidity.

Objective To investigate the effect and mechanism of WISP-1 on renal tubular epithelial cell fibrosis in rats with renal fibrosis.Methods Twenty-four adult rats and renal tubular epithelial cell line(NEK-52E)were se-lected for in vivo and in vitro experiments.The rats were randomly divided into control group and study group,and the in vivo renal fibrosis model was established.The expression of WISP-1 in the study group was blocked.The cell lines were induced to fibrosis followed by WISP-1 over-expression or inhibition.The related indicators of fibrosis were observed.Results Protein and mRNA level of Collagen Ⅰ(Col Ⅰ),fibronectin(FN),transforming growth factor-β1(TGF-β1)in WISP-1 over-expression group were all higher than those in control group.The protein and mRNA level of Col Ⅰ,FN and TGF-β1 in the WISP-1 inhibition group were lower than those in the control group(P＜0.05).WISP-1 blockade attenuated the pathological changes of renal fibrosis.The protein and mRNA levels of Col Ⅰ,FN,α-smooth muscle actin(α-SMA),TGF-β1,LC3 and Beclin-1 in the study group were lower than those in the control group,and the level of ubiquitin binding protein p62(SQSTM1/p62)was higher than that in the control group(P＜0.05).The expression of LC3 and Beclin-1 in WISP-1 inhibitor group was lower than that in the control group and the expression of SQSTM1/p62 was higher than that in the control group.The expression of LC3 and Beclin-1 in the WISP-1 over-expression group was higher than that in the control group,and the expres-sion of SQSTM1/p62 was lower than that in the control group.Conclusions Overexpression of WISP-1 promotes the fibrosis of rat renal tubular epithelial cells,and enhanced TGF-β1-mediated autophagy might be a underlying mechanism to mediate renal fibrosis.

Objective To investigate the epidemiological characteristics of knee osteoarthritis(KOA)among military personnel in plateau regions and to explore its risk factors.Methods From July 2023 to July 2024,a multi-stage stratified cluster random sampling method was employed to survey the prevalence of KOA and related risk factors among military personnel in the northwest plateau regions of China,covering different altitudes(1500-4500 m)and geographical areas(Gansu,Qinghai,Tibet,and Xinjiang).All study subjects were divided into KOA and non-KOA groups based on the presence or absence of KOA.Variables including age,gender,body mass index(BMI),education level,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury were selected for univariate analyses between groups.Variables with P<0.05 in the univariate analyses were included in the binary multifactor logistic regression to identify risk factors for KOA.Results A total of 3000 questionnaires were distributed,and 2854 valid questionnaires were collected,with a response rate of 95.13%.The sample included 2584 males and 270 females,with 510 cases of KOA,resulting in a prevalence rate of 17.9%.Univariate analysis showed that there were statistically significant differences between KOA and non-KOA groups in terms of age,BMI,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury(P<0.05).However,no significant differences were found in gender and education level(P>0.05).Binary multivariate logistic regression analysis revealed that older age(OR=1.382,P=0.017),higher BMI(P<0.01),smoking(OR=1.929,P<0.01),higher military rank(OR=1.485,P=0.007),being a member of the Armed Police(P<0.01),longer service duration(P<0.01),higher regional altitude(OR=1.459,P<0.01),lower annual average temperature(OR=1.188,P=0.001),longer training duration(P<0.01),higher perceived training intensity(OR=2.450,P<0.01),and history of knee injury(OR=2.768,P=0.002)were independent risk factors for KOA.Conclusions Older age,overweight/obesity,smoking,higher military rank,being a member of the Armed Police,longer service duration,higher altitude,cold climate,longer training duration,higher training intensity,and history of knee injury are independent risk factors for KOA among military personnel in the northwest plateau regions of China.

Objective To explore the correlation between glycolysis related indexes of peripheral blood mononuclear cells(PBMCs)[glucose transporter 1(GLUT1),fructose-2,6-diphosphatase 3(PFKFB3)and lactate kinase M2(PKM2)]and intracranial pressure and clinical prognosis of patients with hypertensive cerebral hemorrhage(HICH)who broke into the ventricle.Methods 85 HICH patients hospitalized in our hospital from January 2021 to June 2022 were retrospectively collected as the research participants.The levels of PKM2,GLUT1 and PFKFB3 in PBMCs were analyzed by enzyme-linked immunosorbent assay kit.Six months after the onset of HICH,the short-term outcome was evaluated by modified Rankin scale(mRS),and the patients were divided into good prognosis(mRS score≤2)and poor prognosis(mRS score≥3).Results The levels of PKM2,PFKFB3 and GLUT1 in PBMCs of HICH patients with ventricular rupture were further lower than those of the patients without ventricular rupture(P<0.05).Six months after discharge,8 patients(22.9%)with HICH in non-ventricular rupture group had poor prognosis,while 28 patients(56.0%)with HICH in ventricular rupture group had poor prognosis,and the difference was statistically significant(χ2=9.263,P=0.002).Compared with the group with good prognosis,the levels of PKM2 and GLUT1 in PBMCs of HICH patients with poor prognosis were lower(P<0.05).Compared with the good prognosis group,the levels of PKM2 and GLUT1 in PBMCs of HICH patients with poor prognosis group were lower in HICH patients with ventricular rupture(P<0.05).In HICH patients who broke into the ventricle,the AUC of PKM2 and GLUT1 in predicting the poor prognosis of HICH patients were 0.879(95%CI:0.807～0.951)and 0.897(95%CI:0.831～0.963),respectively.Conclusion The levels of PKM2 and GLUT1 in PBMCs of patients with HICH breaking into ventricles decrease significantly,and are negatively correlated with intracranial pressure,which can be used to predict the short-term prognosis of the patients.

Objective:To explore the research hotspots and trends in the radiomics field based on bibliometric for breast cancer.Methods:Publications related to radiomics for breast cancer during January 2012 to June 2024 were retrieved from the Web of Science Core Collection databases.Then,the R software's package"bibliometric"tool,VOSviewer and CiteSpace softwares were used to conduct visual analysis of radiomics-related bibliometric for breast cancer,which involved to publication trends,countries,institutions,journals,authors,keywords,and highlight keywords.Results:A total of 683 radiomics-related literatures for breast cancer were obtained,and 518 articles were finally included after non-English literatures and non-Article literatures were excluded.China and Sun Yat-sen University emerged as the leading country(326 articles)and institution(83 articles).The top three journals with the most of published articles were respectively,and.Professor Mao Ning has the largest number of articles,followed by Pinker Katja and Liang Changhong.The results of keywords and highlight keywords showed that current radiomics researches for breast cancer mainly focused on the applications of magnetic resonance imaging(MRI),machine learning,deep learning,artificial intelligence,and radiogenomics in prediction for diseases'prognosis,and assessment for treatment's response.Conclusion:The applications of machine learning,deep learning and multi-parameter imaging belongs to hot-research fields in assessment for personalized treatment.Future research directions would more and more tend to integrate artificial intelligence and multi-omics analysis,so as to promote prognostic assessment and personalized treatment.

AIM To investigate the effects of Huazhuo Jiedu Shugan Formula(HJSGF)on improving learning and memory impairment in a rat model of vascular dementia(VD)via SIRT1/PGC-1α/PPARγ pathway.METHODS The SD rats were randomly divided into the sham control group,the model group,the donepezil group(0.5 mg/kg),and the low-,medium-and high-dose HJSGF groups(2.7,5.4,10.8 g/kg),with 10 rats in each group.The VD rat models established by bilateral common carotid artery permanent ligation(2-VO)had their neurological behavior assessment using the Longa5-point scale,and their modeling success confirmed by the Morris water maze test and their 3-week corresponding dosing of drugs by gavage afterward.After the drug administration,the rats had their spatial memory ability tested through behavioral experiments;their serum levels of IL-18 and IL-1β measured by ELISA;their histopathological changes and neuronal morphology in the hippocampal CA1 region observed by HE staining and Nissl staining;and their hippocampal protein expressions of SIRT1,PGC-1α and PPARγ detected by immunohistochemistry and Western blot.RESULTS Compared with the sham control group,the model group showed prolonged escape latency(P＜0.01);decreased platform crossing times and target quadrant residence time(P＜0.01);disorganized arrangement of hippocampal CA1 neurons,nuclear condensation,reduced Nissl bodies,increased secretion and protein expressions of IL-1β and IL-18(P＜0.01);and reduced hippocampal protein expressions of SIRT1,PGC-1α and PPARγ(P＜0.01).Compared with the model group,the groups intervened with donepezil or HJSGF showed shortened escape latency(P＜0.05,P＜0.01);increased platform crossing times and target quadrant residence time(P＜0.05,P＜0.01);alleviated damage of the hippocampal CA1 region,reduced secretion and protein expressions of IL-1β and IL-18(P＜0.05,P＜0.01);and elevated hippocampal protein expressions of SIRT1,PGC-1α and PPARγ(P＜0.05,P＜0.01).CONCLUSION HJSGF may alleviate the inflammatory responses in VD rats and therefore improve their learning and memory impairment by activating the SIRT1/PGC-1α/PPARγ signaling pathway.

On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.