Objective To investigate the expressions of IL-18,IL-18 binding protein isoform a(IL-18BPa)and IL-18Rα in blood CD4+Th1 cells of patients with allergic asthma(AA),and with allergic rhinitis and asthma syndrome(ARA),and the effects of allergens on their expressions.Methods Blood samples were collected from patients with AA,ARA and healthy control(HC)subjects.Flow cytometry was used to evaluate the actions of allergens on the expressions of IL-18,IL-18BPa and IL-18Rα in CD4+Th1 cells.Ovalbumin(OVA)-induced AA mouse models were established,and the expression level of IL-18Rα along with the influence of IL-18 on its expression in blood and lung Th1 cells was also explored by flow cytometry.Results Compared with HC,we observed increased IL-18 while decreased IL-18BPa expression in blood Th1 cells of AA and ARA patients.Moreover,allergens upregulated the expression levels of IL-18,IL-18BPa and IL-18Rα in Th1 cells of patients with AA and ARA.Additionally,intratracheal challenge with OVA plus IL-18 increased the proportions of blood and lung Th1 cells of HC and AA mice,and upregulated IL-18Rα expression on blood and lung Th1 cells of HC mice.Conclusion Allergens may be involved in the pathogenesis of airway allergic diseases by inducing the expressions of IL-18 and IL-18Rα in CD4+Th1 cells.

Objective To investigate the expressions of IL-18,IL-18 binding protein isoform a(IL-18BPa)and IL-18Rα in blood CD4+Th1 cells of patients with allergic asthma(AA),and with allergic rhinitis and asthma syndrome(ARA),and the effects of allergens on their expressions.Methods Blood samples were collected from patients with AA,ARA and healthy control(HC)subjects.Flow cytometry was used to evaluate the actions of allergens on the expressions of IL-18,IL-18BPa and IL-18Rα in CD4+Th1 cells.Ovalbumin(OVA)-induced AA mouse models were established,and the expression level of IL-18Rα along with the influence of IL-18 on its expression in blood and lung Th1 cells was also explored by flow cytometry.Results Compared with HC,we observed increased IL-18 while decreased IL-18BPa expression in blood Th1 cells of AA and ARA patients.Moreover,allergens upregulated the expression levels of IL-18,IL-18BPa and IL-18Rα in Th1 cells of patients with AA and ARA.Additionally,intratracheal challenge with OVA plus IL-18 increased the proportions of blood and lung Th1 cells of HC and AA mice,and upregulated IL-18Rα expression on blood and lung Th1 cells of HC mice.Conclusion Allergens may be involved in the pathogenesis of airway allergic diseases by inducing the expressions of IL-18 and IL-18Rα in CD4+Th1 cells.

Monkeypox,caused by the monkeypox virus(MPXV),is a zoonotic infectious disease characterized clinically by fever,rash,and lymphadenopathy.In September 2024,the outbreak of a novel MPXV Clade Ib variant in the Democratic Republic of the Congo was designated by the World Health Organization as a public health emergency of international concern,highlighting deficiencies in current prevention and control systems.Although modified attenuated smallpox vaccines exhibit cross-protective efficacy against MPXV infection,their adverse effects still limit clinical applications.Further-more,the therapeutic efficacy of tecovirimat—the FDA emergency-authorized antiviral drug for Smallpox—is limited.Recent studies have shown that tecovirimat does not significantly improve lesion healing time or reduce overall mortality in patients infected with MPXV CladeⅠ.Monoclonal antibodies,which neutralize viral activity by targeting critical membrane proteins,have emerged as a pivotal strategy to overcome current therapeutic bottlenecks by integrating therapeutic,diagnostic and prophylactic functions.This article reviews the epidemiological and virological characteristics of MPXV,along with functional characteristics of MPXV major membrane proteins,including A29L,A35R,B6R,E8L,M1R and H3L,focusing on the research progress in monoclonal antibodies against these key targets.Their protective effects in vitro/in vivo are explored while such as strategies monoclonal antibody combina-tion therapy are recommended to enhance efficacy and overcome drug resistance.

Breast cancer is the most common malignant disease that threatens the life and health of women.Synthetic magnetic resonance imaging is a novel quantitative technology,which can obtain multiple quantitative relaxation and contrast images simultaneously by one scan,providing new basis for diagnosis and evaluation of diseases.This article reviews the imaging theory of synthetic magnetic resonance imaging and its application in the comprehensive diagnosis,molecular typing and prognosis assessment of breast cancer,in order to further guide the clinical practice.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

With the change of infectious disease incidence pattern and the development of related technologies, progresses have been made in the research of infectious disease epidemiology. In recent years, due to the change in the requirements of infectious disease prevention and control, the research focus has expanded from common infectious diseases to diseases which have been eliminated or might be eliminated, as well as emerging and re-emerging infectious diseases. Infectious disease data has been characterized by multiple sources and modalities. Along with the rapid development of pathogen detection methods, infectious disease surveillance has shifted from a single disease-targted one to a comprehensive one. Moreover, novel technologies such as multi-omics and artificial intelligence have been applied in infectious disease epidemiology research. The international cooperation in this field has become increasingly crucial, and the revision of the International Health Regulations and the negotiation of pandemic agreement will have a profound impact. In the future, infectious disease epidemiology research will develop with more powerful tools to improve its capabilities.

Monkeypox,caused by the monkeypox virus(MPXV),is a zoonotic infectious disease characterized clinically by fever,rash,and lymphadenopathy.In September 2024,the outbreak of a novel MPXV Clade Ib variant in the Democratic Republic of the Congo was designated by the World Health Organization as a public health emergency of international concern,highlighting deficiencies in current prevention and control systems.Although modified attenuated smallpox vaccines exhibit cross-protective efficacy against MPXV infection,their adverse effects still limit clinical applications.Further-more,the therapeutic efficacy of tecovirimat—the FDA emergency-authorized antiviral drug for Smallpox—is limited.Recent studies have shown that tecovirimat does not significantly improve lesion healing time or reduce overall mortality in patients infected with MPXV CladeⅠ.Monoclonal antibodies,which neutralize viral activity by targeting critical membrane proteins,have emerged as a pivotal strategy to overcome current therapeutic bottlenecks by integrating therapeutic,diagnostic and prophylactic functions.This article reviews the epidemiological and virological characteristics of MPXV,along with functional characteristics of MPXV major membrane proteins,including A29L,A35R,B6R,E8L,M1R and H3L,focusing on the research progress in monoclonal antibodies against these key targets.Their protective effects in vitro/in vivo are explored while such as strategies monoclonal antibody combina-tion therapy are recommended to enhance efficacy and overcome drug resistance.

Breast cancer is the most common malignant disease that threatens the life and health of women.Synthetic magnetic resonance imaging is a novel quantitative technology,which can obtain multiple quantitative relaxation and contrast images simultaneously by one scan,providing new basis for diagnosis and evaluation of diseases.This article reviews the imaging theory of synthetic magnetic resonance imaging and its application in the comprehensive diagnosis,molecular typing and prognosis assessment of breast cancer,in order to further guide the clinical practice.

Objective To explore the value of biparametric magnetic resonance imaging(bp-MRI)radiomics models in noninvasive prediction of high-risk prostate cancer.Methods A total of 320 patients with pathologically confirmed prostate cancer were retro-spectively selected,and all patients underwent bp-MRI before pathology,including T2WI and diffusion weighted imaging(DWI).Appar-ent diffusion coefficient(ADC)maps were extracted from DWI.All patients were divided into high-risk(Gleason score≥8)and medium-low risk(Gleason score ≤7)groups based on the Gleason score.Using 3D Slicer software,the entire prostate gland was outlined.Python software was used to calculate parameters,and the minimum redundancy maximum correlation and sequence back-ward elimination algorithms were used to extract and select radiomics features and to build a model.Three radiomics(T2 WI,DWI,ADC)models were constructed and verified by logistic regression(LR).The performance of the model was evaluated by area under the curve(AUC)of receiver operating characteristic(ROC)curve,specificity(SP),sensitivity(SE),and accuracy(ACC).An indi-vidual prediction model was established via the clinical data of 224 patients and bp-MRI features,and validated via the data of 96 patients.Results A total of 1 165 radiomics features were extracted.After feature screening,2,4 and 6 radiomics features were screened out to construct T2WI model,DWI model and ADC model for predicting high-risk prostate cancer.All radiomics models had significant predictive performance in identifying medium-low risk and high-risk groups(P＜0.05).The DWI model had the highest predictive value,and the AUC,ACC,SE,and SP in the training group were 0.814,0.756,0.838,and 0.744,respectively.The AUC,ACC,SE,and SP in the verification group were 0.840,0.756,0.848,and 0.784,respectively.Conclusion Radiomics based on bp-MRI can better identify medium-low risk and high-risk prostate cancer before surgery.