Pegylated interferon α-2b （PEG-IFN-α-2b） is currently a first-line drug for the treatment of chronic hepatitis B virus infection and is widely used in clinical practice. This drug has multiple effects of inhibiting viral replication， regulating immunity， and improving liver function， and some patients can achieve clinical cure. However， it often causes various adverse reactions during treatment， which are important factors for compromising treatment compliance and efficacy. This article systematically reviews the adverse reactions and their mechanisms during PEG-IFN-α-2b therapy for chronic hepatitis B， including influenza-like symptoms， peripheral blood cytopenia， thyroid dysfunction， and neuropsychiatric symptoms， and it also summarizes the monitoring and management strategies for these adverse reactions， in order to provide evidence-based guidance for clinical decision-making and emphasize the importance of individualized treatment.

Objective To analyze the epidemic characteristics of scarlet fever in Pudong New Area, Shanghai from 2010 to 2023, and to grasp the incidence of scarlet fever in time. Methods The information on the registration of scarlet fever in Pudong New Area, Shanghai from January 1, 2010 to December 31, 2023 was collected through the China Disease Prevention and Control Information System, and descriptive epidemiological methods and Joinpoint regression model were used for data analysis. Results From 2010 to 2023, a total of 5 669 cases of scarlet fever were reported in Pudong New Area, Shanghai, and no deaths were reported. The annual reported incidence rate was 7.2/100 000, and the overall trend was decreasing year by year. In terms of time distribution, the incidence peaks were in spring and winter. The incidence rate in males was higher than that in females, and it mainly affected children, especially those aged 2 to 10 years. Joinpoint regression model analysis showed that the annual percentage change (APC) and average annual percentage change (AAPC) of the reported incidence rate of scarlet fever from 2010 to 2023 showed that the incidence rate was fluctuating, and the incidence rate decreased significantly from 2019 to 2023 (APC was -53.7%). Conclusion The reported incidence rate of scarlet fever in Pudong New Area in Shanghai has decreased year by year from 2010 to 2023, and children remain the focus of prevention and control.

Objective To analyze the epidemiological characteristics and spatial-temporal clustering trend of scarlet fever in Nantong from 2009 to 2023, and to provide a scientific basis for scarlet fever prevention and control. Methods The incidence data of scarlet fever in Nantong from 2009 to 2023 were analyzed. Descriptive analysis, seasonal index method and Joinpoint 5.2.0 software were used to analyze epidemiological characteristics. Spatial-temporal clustering was assessed with SaTScan 10.2.5 software. Results The average annual incidence of scarlet fever in Nantong from 2009 to 2023 was 6.54/100 000. The overall morbidity rate of scarlet fever in Nantong had an increasing trend from 2009 to 2019 with an average annual percentage change of 14.55% (t=3.36，P<0.05). The cases mainly occurred during late spring to early summer and late autumn to early winter. Students, preschool children and scattered children were the main scarlet fever population. The average annual incidence of males was significantly higher than that of females (χ²=7.00, P<0.05). Rugao City, Chongchuan District and Tongzhou District were identified as high-incidence areas, accounting for 76.51% of all reported cases. Spatial-temporal scan analysis indicated that Rugao City and Chongchuan District were primary cluster areas, spanning from 2015 to 2021 (RR=3.77, LLR=1 308.07, P<0.05). Conclusion The number of reported cases of scarlet fever in Nantong City from 2009 to 2023 shows epidemic and spatial clustering, mainly concentrated in the central urban area and adjacent counties (cities). It is necessary to strengthen health education and disease surveillance in high-incidence areas, as well as in key institutions and key populations before epidemic peaks.

Objective To analyze the epidemiological characteristics and incidence trend of mumps in Nantong City from 2016 to 2023, and to provide a basis for scientific prevention and control. Methods Descriptive statistical analysis was conducted on monthly mumps incidence data in Nantong City from 2016 to 2023, and a SARIMA model was constructed to predict the incidence trend. Results A total of 3 928 mumps cases were reported in Nantong City from 2016 to 2023, with an average annual incidence rate of 6.36/100 000. Cases predominantly occurred during April–July and September–December, showing seasonal peaks. The male-to-female ratio was 1.43:1. The cases were concentrated in individuals aged ≤15 years (85.57%), primarily students, children in childcare settings, and scattered children (88.31%). The optimal model constructed by the SPSS Expert Modeler was SARIMA(1,0,0)(0,1,1)₁₂, predicting an epidemic peak of mumps in Nantong City from September to November in the second half of 2024. Conclusion From 2016 to 2023, mumps incidence in Nantong City has shown an overall downward trend with a seasonal bimodal distribution. Males had higher incidence rates than females, and cases were predominantly students, kindergartens and scattered children, highlighting the need to strengthen mumps prevention in schools and childcare institutions. The SARIMA model is suitable for short to medium term prediction of mumps in Nantong City. A minor peak is predicted to occur in the second half of 2024 (September–November). It is necessary to strengthen the epidemic surveillance of mumps and vaccination of age-eligible children.

To analyze the disease burden of acute lymphoid leukemia(ALL) and its changing trends in China and globally from 1990 to 2021, aiming to provide a theoretical basis for disease prevention, treatment, and policy formulation.

The importance of consensus research in medical decision-making has become increasinglyprominent. However, this field has long lacked unified terminology definitions and reporting standards, leading to significant heterogeneity in study design, implementation, and result presentation that affects the credibility and reproducibility of outcomes. The ACCurate COnsensus Reporting Document (ACCORD) in the field of biomedical research provides a structured writing framework for various consensus methods such as the Delphi method and nominal group technique, aiming to enhance the completeness and transparency of study reports. Combined with specific cases, this article interprets the core items of ACCORD, offering references for the design, implementation, and reporting of high-quality consensus research in China.

OBJECTIVE To analyze the prototype components absorbed into blood and brain of Lithocarpus litseifolius leaves， so as to provide a reference for clarifying the pharmacological material basis of its prevention and treatment of central nervous system dis eases. METHODS The ethanol extract of L. litseifolius leaves， as well as the gastric lavage fluid and perfusion solution were prepared. Using rats as subjects， plasma samples of intestinal wall metabolism， intestinal flora metabolism and hepatic metabolism were prepared via in situ intestinal perfusion and closed intestinal loop method； while comprehensive metabolic plasma samples， brain tissue samples， and cerebrospinal fluid samples were collected after intragastric administration. UPLC-HRMS technology was utilized to analyze and identify chemical components and prototype components absorbed into blood and brain of L. litseifolius leaves. RESULTS A total of 66 chemical constituents were identified in L. litseifolius leaves， primarily consisting of flavonoids， organic acids， and others. A total of 16， 13， 11， and 5 prototype components were identified in intestinal wall metabolism， intestinal flora metabolism， hepatic metabolism， and comprehensive metabolic plasma samples， respectively. Additionally， 4 prototype components were detected in brain tissue and 9 in cerebrospinal fluid. Phloridzin， trilobatin， phloretin-2- O -malonyl hexoside， and phloretin were identified as common components across all sample types. CONCLUSIONS Prototype components absorbed into blood and brain of L. litseifolius leaves， such as phloridzin， trilobatin， phloretin， and other components may serve as the pharmacological material basis for their therapeutic effects on central nervous system diseases.

Surface proteins play pivotal roles in physiological processes, including cell recognition, signal transduction, substance transport, and immune responses. However, challenges persist in characterizing abnormal surface proteins in disease states and identifying therapeutic targets, due to the low abundance of these proteins within the total proteome and the frequent presence of their complex glycosylation modifications. Recent years have witnessed the vigorous development of chemical proteomics, leading to the successful creation of various chemical probes for the labeling and characterization of cell surface proteins. These techniques have subsequently been applied to the detection of disease surface proteins and the discovery of corresponding targets. Surface protein characterization techniques based on chemical proteomics are discussed herein, focusing on the principles of amino acid-targeted labeling, proximity labeling, and glycoprotein capture. The novelty, advantages, and limitations of techniques such as targeted lysine labeling, peroxidase and photocatalytic proximity labeling, and chemical glycan capture and metabolic glycan labeling are elaborated, and their applications across various biological models and disease types are described, aiming to provide some reference for target discovery and drug development targeting surface proteins.

The therapeutic effect of human umbilical cord mesenchymal stem cells (hUCMSCs) combined with intestinal probiotics on the wound healing of diabetic mice and its potential mechanism were explored. A diabetic wound mouse model was established, and 25 male C57BL/6J mice were randomly divided into five groups: blank control group, model group, hUCMSCs treatment group, probiotics treatment group, and hUCMSCs combined with probiotics treatment group. The wound healing conditions were photographed and recorded on days 0, 3, 6, 9, and 12 after modeling, and the differences in wound healing rates among the groups were analyzed. HE and Masson staining were used to observe the histopathological changes and collagen deposition. CD31 immunofluorescence was used to detect angiogenesis. Collagen I immunohistochemistry was used to evaluate the formation of type I collagen. ELISA was used to detect the expression levels of anti-inflammatory factors (Arg1) and pro-inflammatory factors (IL-6, IL-1β, TNF-α) in wounded skin tissue and serum. The results showed that on day 12 after modeling, compared with the other groups, the combined treatment group had the most significant wound contraction and the fastest healing rate. HE and Masson staining showed that the combined treatment group had the fastest epithelialization and the most collagen deposition. Immunofluorescence and immunohistochemistry showed that the combined treatment group had the highest expression levels of CD31 and Collagen I. ELISA results indicated that the combined treatment group had higher expression levels of Arg1 in wound skin tissue and serum than the other groups, while the expression levels of IL-6, IL-1β, and TNF-α were significantly lower. These results suggest that the combined treatment of hUCMSCs and intestinal probiotics can accelerate wound healing in diabetic mice through mechanisms such as promoting angiogenesis, enhancing collagen deposition, and regulating the inflammatory microenvironment. The therapeutic effect was significantly better than that of single treatment, providing a new potential strategy for the clinical treatment of diabetic foot.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.