Allergen specific immunotherapy（AIT）, as an effective treatment for allergic rhinitis, asthma, and other allergic diseases, has received widespread attention in the field of health economic evaluation in recent years. This article reviews the current status and progress of economic research on AIT, mainly discussing the socioeconomic burden of allergic rhinitis, the results of health economic studies from different countries, and the primary methods used in health economic research on allergic rhinitis. Existing studies indicate that, although AIT involves high initial costs, it offers significant long-term economic benefits by reducing healthcare resource utilization, improving patient quality of life, and decreasing medication dependence. Moreover, reducing initial costs, applying standardized assessment tools, and conducting cross-national comparative analyses have become key directions for future research. Overall, AIT demonstrates strong potential in terms of long-term health benefits and cost savings, providing solid economic evidence for the management of allergic diseases.
Humans ; Desensitization, Immunologic/economics* ; Cost-Benefit Analysis ; Rhinitis, Allergic/economics* ; Economics, Medical

Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

Epigenetic pathways play a critical role in the initiation, progression, and metastasis of cancer. Over the past few decades, significant progress has been made in the development of targeted epigenetic modulators (e.g., inhibitors). However, epigenetic inhibitors have faced multiple challenges, including limited clinical efficacy, toxicities, lack of subtype selectivity, and drug resistance. As a result, the design of new epigenetic modulators (e.g., degraders) such as PROTACs, molecular glue, and hydrophobic tagging (HyT) degraders has garnered significant attention from both academia and pharmaceutical industry, and numerous epigenetic degraders have been discovered in the past decade. In this review, we aim to provide an in-depth illustration of new degrading strategies (2017-2023) targeting epigenetic proteins for cancer therapy, focusing on the rational design, pharmacodynamics, pharmacokinetics, clinical status, and crystal structure information of these degraders. Importantly, we also provide deep insights into the potential challenges and corresponding remedies of this approach to drug design and development. Overall, we hope this review will offer a better mechanistic understanding and serve as a useful guide for the development of emerging epigenetic-targeting degraders.

Background An association between atmospheric fine particulate matter (PM_2.5) exposure and Parkinson's disease (PD) has been suggested by previous studies, but the results of current epidemiological studies are still inconclusive. Objective To systematically evaluate the relationship between exposure to ambient PM_2.5 and the risk of PD, as well as to explore potential influencing factors, aiming to provide scientific evidence for formulating early prevention strategies for PD. Methods Cochrane Library, PubMed, Web of Science, Medline, Embase, China National Know-ledge Infrastructure (CNKI), Wanfang Database, and VIP Chinese Science and Technology Journal Database were queried. The search terms included Parkinson's disease, particulate matter 2.5, and PM_2.5 in both Chinese and English. Cohort studies examining the association between atmospheric PM_2.5 exposure and the risk of PD were collected and searched from the inception of each database to June 26, 2023. The identified literature was screened, and the basic information of the included studies and their research subjects, outcome indicators, quantitative results of each study, as well as the information required by bias risk assessment were extracted. The Newcastle-Ottawa Scale was employed to assess the risk of literature bias. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were conducted in Stata 15.0 software. Results Twelve cohort studies were identified. A total of 17443136 participants with follow-up periods ranging from 3.5 to 22 years were included in the analysis. The meta-analysis, utilizing a random-effects model, revealed that PD risk was elevated by 6% after exposure to PM_2.5 [HR=1.06 (95%CI: 1.02, 1.11), P=0.006]. The subgroup analysis demonstrated that exposure to PM_2.5 increased PD risk by 6% in North America [HR=1.06 (95%CI: 1.00, 1.12), P=0.033] and by 17% in East Asia [HR=1.17 (95%CI: 1.02, 1.33), P=0.020]. However, the effect was not statistically significant in Europe. PD risk exhibited a 7% rise [HR=1.07 (95%CI: 1.02, 1.14), P=0.011] in individuals aged 60 years and older, which was different from that in individuals younger than 60 years. Exposure to various concentrations of PM_2.5 was observed to associate with an elevated risk of PD. The inclusion of adjustments for PD-related comorbidities did not alter the conclusion that ambient PM_2.5 exposure might elevate the risk of PD. The studies with a follow-up duration exceeding 5 years and reporting more than 1000 PD cases suggested a significant increase in the risk of PD due to ambient PM_2.5 exposure [HR=1.06 (95%CI: 1.01, 1.12), P=0.012; HR=1.06 (95%CI: 1.01, 1.11), P=0.027, respectively]. Conversely, no significant association was identified between ambient PM_2.5 exposure and the risk of PD within the cohorts with a follow-up duration of less than 5 years and reporting fewer than 1000 PD cases [HR=1.09 (95%CI: 0.95, 1.26), P=0.214; HR=1.12 (95%CI: 0.98, 1.02), P=0.092, respectively]. The sensitivity analysis showed that the results were stable. The publication bias analysis and the combined trim-and-fill method showed that the results were robust. Conclusion The risk of PD could be increased by ambient PM_2.5 exposure and influenced by age and area. The research results might be affected by the duration of follow-up and the quantity of PD cases reported.

Objective To explore the regulatory role of hederagenin(HG)on glutamate(Glu)-in-duced ferroptosis and corresponding inflammatory responses in mouse hippocampal neuron HT22 cells and investigate its potential mechanisms.Methods HT22 cells were randomly divided into control,Glu and HG groups(n=3).The cells of the control group received no treatment,the cells of the Glu group were treated with 35 mmol/L Glu for 24 h to establish a cellular model of ferroptosis in Alzheimer's disease,and the cells of the HG group were treated with 0.5 μmol/L HG and 35 mmol/L Glu for 24 h simultaneously.FerroOrange fluorescent probe was used to de-tect intracellular Fe2+.The production of reactive oxygen species(ROS),mitochondrial membrane potential,and levels of inflammatory factors TNF-α,IL-1β and IL-6 in the cells were assessed.Finally,the expression of the key regulator of iron death,glutathione peroxidase 4(GPX4)was measured.Results Compared to the control group,the levels of intracellular Fe2+,ROS,TNF-α,IL-1β,and IL-6 were significantly elevated,while the mitochondrial membrane potential was obvi-ously reduced in the Glu group(P＜0.05,P＜0.01).The HG group had significantly decreased Fe2+,ROS,TNF-α,IL-1β,and IL-6 and enhanced mitochondrial membrane potential than the Glu group(P＜0.05,P＜0.01).The GPX4 expression was significantly lower in the Glu group than the control group(1.00±0.02 vs 0.46±0.04,P＜0.01),and was notably higher in the 0.5 and 1.0 μmol/L HG groups when compared to the Glu group(0.64±0.03 and 0.59±0.05 vs 0.46±0.04,P＜0.01).Conclusion HG inhibits ferroptosis by regulating GPX4 expression,and thereby effec-tively alleviates the inflammatory response.

Machine learning(ML)technology has been gradually applied in clinical anesthesia,and the application and research in the perioperative period are increasing.ML can warn occurrence of high-risk events,assist the diagnosis of difficult airway and ultrasound imaging in the perioperative period.Intrao-peratively,ML can predict hypotension,hypoxemia,cardiac arrest,and depth of anesthesia to help achieve precise and safe control of anesthesia.Postoperatively,ML can predict anesthesia-related adverse outcomes.This article summarizes the ML models commonly used in the field of anesthesiology,and reviews the rele-vant studies of ML application in all stages of the perioperative period.The application of ML can improve the perioperative anesthesia management,help to warn the occurrence of high-risk events and reduce anes-thesia-related risks.

The intensifying aging of the population has led to a growing severity of multimorbidity,significantly impacting patients'quality of life.Current anesthetic management approaches primarily target individual diseases,which struggle to effectively address the complexity of multimorbidity.This article re-views the concept and research status of multimorbidity,analyzes the interconnections among aging,multi-morbidity,and frailty,and discusses the influence of multimorbidity on perioperative risks.For patients with multimorbidity,the article proposes perioperative management strategies encompassing preoperative assess-ment,multidisciplinary collaboration,personalized anesthesia plans,intraoperative monitoring,and postop-erative care.Furthermore,the article underscores the shift from single-disease assessments to comprehensive multimorbidity assessment frameworks,and explores novel management models utilizing big data and artificial intelligence to enhance surgical safety and improve patient prognosis.

Objective:To analysis the laws and regulations related to human genetic resources, this study analyzed the current management status and trends at home and abroad, explored the related issues of human genetic resources data management, and provided reference for further promoting and standardizing the management of human genetic resources data in my country.Methods:This article analyzed the current management status of human genetic resources data from three levels: relevant policies, management frameworks, data platforms and sample databases through literature review and expert consultation and policy research.Results:Countries paid more and more attention to human genetic resources, and the construction of my country′s human genetic resources management system is constantly advancing and improving. In the data era, the management of human genetic resources was facing new problems and challenges, requiring further strengthening the research and management of relevant data.Conclusions:At present, the management of human genetic resource data in my country needs to be strengthened. On the one hand, it is necessary to promote the implementation and coordinated management of specific systems on human genetic resources data. On the other hand, it is necessary to strengthen the effective protection and sharing of human genetic resource data.

【Objective】 To investigate the association between genetic variations in the glucagon-like peptide-1 receptor (GLP-1R) gene and BP responses to sodium and potassium intake. 【Methods】 A total of 514 subjects from 124 families were recruited in Meixian County, Shaanxi Province, in 2004, resulting in the establishment of a "salt-sensitive hypertension study cohort" . The subjects followed a dietary regimen which involved a normal diet for 3 days, a low-salt diet for 7 days, a high-salt diet for 7 days, and a high-salt potassium-supplemented diet for 7 days. BP measurement was conducted at different intervention periods, and peripheral blood samples were collected. Additionally, eight single nucleotide polymorphisms (SNPs) of the GLP-1R gene were genotyped using the MassARRAY detection platform. 【Results】 The GLP-1R gene SNP rs9462472 exhibited a significant association with systolic BP, diastolic BP, and mean arterial pressure response to high-salt intervention. Similarly, SNP rs2268637 showed a significant association with systolic BP response to high-salt intervention. Furthermore, SNP rs2268637 was significantly associated with systolic BP and mean arterial pressure responses to high-salt plus potassium supplementation intervention. 【Conclusion】 Our findings indicate a significant association of genetic variations in the GLP-1R gene with BP responses to sodium and potassium intake. This suggests that the GLP-1R gene plays a role in the regulation of BP salt sensitivity and potassium sensitivity.

Objective To explore the difference in efficacy of metoprolol versus ivabradine in the treatment of postural orthostatic tachycardia syndrome(POTS)in the elderly after COVID-19 infection.Methods A total of 110 patients diagnosed with POTS at our department from Decem-ber 1,2022 to January 31,2023 were included.According to their drug regimen,they were divided into metoprolol group(62 patients)and ivabradine group(48 patients).On the 28th day of out-patient follow-up,the resting heart rate,heart rate of 10 min of standing,symptom disappearance rate,hospitalization rate,and mortality rate were compared between the two groups.Results On the 28th day of treatment,the resting heart rate and postural heart rate for 10 min were decreased in both groups when compared with the levels at initial diagnosis(P＜0.01).And there were no significant differences in the two types of heart rate between the two groups on the 28th day(71.0±7.0 vs 72.1±7.0,P=0.401;76.5±7.2 vs 77.4±7.6,P=0.573).No obvious differences were observed between the two groups in symptom disappearance rate,hospitalization rate,or mortality rate(88.7％vs 89.6％,3.2％vs2.1％,0％vs 0％,P＞0.05).Conclusion Metoprolol and ivabradine can effectively treat POTS in the elderly patients after COVID-19 infection.