Immunotherapy following transplantation has long been a central focus in both anti-rejection strategies and the induction of immune tolerance. Regulatory B cells (Bregs) can directly suppress the immune system via the interaction between programmed cell death protein 1 (PD-1) and its ligand programmed death ligand 1 (PD-L1). Additionally, Bregs exert indirect immunosuppressive effects through the secretion of cytokines such as interleukin-10 (IL-10), transforming growth factor-β (TGF-β), and granzyme B (GrB), among which IL-10 plays a particularly critical role. This review summarizes recent progress in the classification, functional characteristics, and activation mechanisms of Bregs, as well as their potential applications in transplantation immunotherapy, aiming to provide a theoretical foundation for Breg-targeted strategies in transplant immune modulation.

Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

Acute kidney injury(AKI)is a syn-drome characterized by rapid decline in renal excre-tory function.Its pathogenesis is still unclear.Stud-ies have shown that macrophages are major play-ers in AKI inflammation,regulating tissue damage and regeneration repair.During AKI inflammation,macrophages can be activated into different func-tional phenotypes through molecular and signaling pathways,regulate different molecules and signal-ing pathways,and determine the progression of AKI.In this paper,the activation of macrophages and the molecular signaling pathways involved in the regulation of AKI in the past five years are re-viewed,and the mechanism of action of macro-phages in AKI is determined,which provides ideas for the study of macrophages as therapeutic tar-gets.

Acute kidney injury(AKI)is a syn-drome characterized by rapid decline in renal excre-tory function.Its pathogenesis is still unclear.Stud-ies have shown that macrophages are major play-ers in AKI inflammation,regulating tissue damage and regeneration repair.During AKI inflammation,macrophages can be activated into different func-tional phenotypes through molecular and signaling pathways,regulate different molecules and signal-ing pathways,and determine the progression of AKI.In this paper,the activation of macrophages and the molecular signaling pathways involved in the regulation of AKI in the past five years are re-viewed,and the mechanism of action of macro-phages in AKI is determined,which provides ideas for the study of macrophages as therapeutic tar-gets.

Immunotherapy following transplantation has long been a central focus in both anti-rejection strategies and the induction of immune tolerance. Regulatory B cells (Bregs) can directly suppress the immune system via the interaction between programmed cell death protein 1 (PD-1) and its ligand programmed death ligand 1 (PD-L1). Additionally, Bregs exert indirect immunosuppressive effects through the secretion of cytokines such as interleukin-10 (IL-10), transforming growth factor-β (TGF-β), and granzyme B (GrB), among which IL-10 plays a particularly critical role. This review summarizes recent progress in the classification, functional characteristics, and activation mechanisms of Bregs, as well as their potential applications in transplantation immunotherapy, aiming to provide a theoretical foundation for Breg-targeted strategies in transplant immune modulation.

Renal fibrosis, especially tubulointerstitial fibrosis, is the most common pathway of all chronic kidney diseases progressing to end-stage renal diseases. Several adaptive reactions occur in renal tubular epithelial cells after chronic injury, such as changes in glycolipid metabolism, unfolded protein response, autophagy and senescence, epithelial-to-mesenchymal transition and G2/M cell cycle arrest. Maladaptive repair mechanisms can induce tubulointerstitial fibrosis. This article will discuss the molecular mechanism of these adaptive responses of renal tubular epithelial cells driving renal tubulointerstitial fibrosis, and provide a basis for exploring new drug targets for renal tubulointerstitial fibrosis.

Objective To discuss the clinical application of coronary CT angiography(CCTA)-derived fractional flow reserve(CT-FFR)in evaluating the risk stratification of the coronary artery stenosis and atherosclerotic plaque quantitative parameters.Methods A total of 122 patients,who received CCTA examination at the Xuzhou Municipal Central Hospital of China,were enrolled in this study.The patients were divided into non-ischemia group(CT-FFR＞0.8,n=66)and ischemia group(CT-FFR0.8,n=56).The characteristics of atherosclerotic plaque were compared between the two groups.Logistic regression analysis was used to analyze the correlation between plaque characteristics and ischemic lesions.Results There were 218 vessels having a CT-FFR＞0.8 and 174 vessels having a CT-FFR ≤0.8.Statistically significant differences in the total plaque volume,calcified plaque volume,plaque length,and stenosis ratio＞50％existed between the two groups(all P＜0.05).Logistic regression analysis indicated that the total plaque volume,calcified plaque volume,plaque length,and stenosis ratio＞50％were the risk factors for myocardial ischemia.Conclusion CT-FFR can be used for the risk stratification of coronary stenosis and atherosclerotic plaque characteristics,which can evaluate the local myocardial blood supply condition from the anatomical stenosis and functional level so as to optimize the diagnosis and treatment measures.

Purpose/Significance To investigate the status quo and influencing factors of self-management level of elderly diabetic mellitus patients in Dongcheng District of Beijing,and to provide references for further development of community diabetes health educa-tion and health management.Method/Process The survey is conducted on 1 962 cases of elderly patients with type 2 diabetes mellitus who are randomly selected from community-level health service institutions in Dongcheng District of Beijing and are investigated by self-made questionnaires and the summary of diabetes self-care activities.Multiple stepwise regression and logistic regression are used to analyze the influencing factors of patients'self-management level.Result/Conclusion The self-management level of elderly diabetic mellitus patients is affected by many factors,among which the awareness of disease-related knowledge,the form of medical security and the use of health-related software to manage chronic diseases are the main influencing factors(P＜0.05).Local management depart-ments can take targeted health interventions to further improve the self-management ability of elderly diabetic mellitus patients.

Purpose/Significance The paper systematically reviews relevant research on infectious disease prediction models based on internet data,helps to realize the advancement of infectious disease surveillance,and provides references for the construction of intelli-gent three-dimensional prevention and treatment system of infectious diseases.Method/Process The development history and research direction of infectious disease surveillance and early warning based on internet data collected in the core database of Web of Science and CNKI in the past 20 years are reviewed,major existing problems and challenges are analyzed,and common prediction models and their optimization directions are summarized.Result/Conclusion The study on internet infectious disease surveillance shows the trend of diver-sification of monitoring diseases,refinement and specialization of data sources.Due to the complexity and uncertainty of internet data,most of the existing models are only suitable for short-term or real-time prediction.By constructing a combination model,strengthening multi-source data fusion,improving the selection of keywords and influencing factors,the model can be further optimized and the fitting effect and prediction capacity can be strengthened.

Liver cancer ranks as the sixth most common cancer globally,with hepatocellular carcinoma(HCC)accounting for approximately 75％-85％of cases.Most patients present with moderately advanced disease,while those with advanced HCC face limited and ineffective treatment options.Despite diagnostic efforts,no ideal tumor marker exists to date,highlighting the urgent clinical need for improved early detection of HCC.A key research objective is the development of assays that target specific pathways involved in HCC progression.This review explores the pathological origin and development of HCC,providing insights into the mechanistic rationale,clinical statistics,and the advantages and limitations of commonly used diagnostic tumor markers.Additionally,it discusses the potential of emerging biomarkers for early diagnosis and offers a brief overview of relevant assay methodologies.This review aims to summarize existing markers and investigate new ones,providing a basis for subsequent research.