Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

[This corrects the article DOI: 10.1016/j.apsb.2021.10.012.].

Traditional in vitro models have inevitable limitations and there are significant differences in assessing drug efficacy and side effects as compared to human trials.Organ-on-a-chip technology simulates human organs in a physiological environment and functional chip with a high fidelity physiological or pathophysiological level,offering great innovative prospects for drug development.This paper mainly introduces the research progress and application of organ chip from the perspective of various systems in vivo.At the same time,the limitations of the current devel-opment process of organ chip and the future development direction are proposed.

More and more in-depth tumor mechanism research and clinical precision treatment have put forward higher requirements for the technology for the establishment of tumor models.More and more tumor organoids have been applied.This model is able to reproduce the genomic,transcriptome,proteome and other omics features of pa-rental tumors without heterogeneity found in cell line models.Based on these characteristics,tumor organoids have gradually become a representative preclinical model,facilitating the translation of new research results and precision treatment of patients.This article summarizes the latest progress of tumor organoids on R&D of technology and appli-cation,focusing on the current methods of establishing tumor organoids,opportunities and challenges in clinical and research application.

Objective To establish breast cancer organoids for a long time and to characterize their molecular ex-pression and test their sensitivity to chemotherapy drugs.Methods Breast cancer specimens were digested with col-lagenase to release cancer cells for organoid culture.The organoids were characterized by morphology and ER,PR,HER-2,CK expression by technology of histoimmunofluorescence.Among them,three were tested for paclitaxel,doxorubicin and cisplatin sensitivity.Results A total of 44 cases of breast cancer organoids were established,all of which showed dense spherical-like growth and ER,PR,HER-2,CK,matching their clinical counterpart.Breast cancer organoids were sensitive to chemotherapy drugs paclitaxel,doxorubicin and cisplatin.Conclusions Organoid model,as a new in vitro may reproduce the pathophysiology features with heterogeneity.

Objective To establish human and mouse pancreatic cancer cell strains stably expressing Cas9 protein,green fluorescent protein,red fluorescent proteins,luciferase-tdTomato,and to validate the activity of luciferase and gene editing of Cas9 function for pancreatic cancer research using luciferase and CRISPR/Cas9 system.Methods In human pancreatic cancer cells(AsPC-1,CFPAC-1,HPAC,BxPC-3,HS 766T,MIA PaCa-2,PANC-1,and SW 1990),and mouse pancreatic cancer cell(Pan02),the cells were infected with Cas9-expressing plas-mid pLv-EF1α-Cas9m1.1-Puro,and single-cell clones were selected for culture and expansion.After extracting the total protein,Western blot verified the expression level of Cas9;Infected with fluorescent protein expression plasmids pLv-EF1α-EGFP,pLv-EF1α-mCherry,pLv-EF1α-tdTomato,pLv-EF1α-Luc2-tdT,and selected single cell clones stably expressing fluorescent proteins were cultured and amplified under fluorescence microscope.Cas9 stable expression cell line was selected to be infected with pLv-EF1α-Luc2-tdT,and the mono-clonal culture of stable expression of fluorescent proteins was selected for expansion under fluorescence micro-scope.One of the cell lines were selected to be infected with Lv-EF1a-mCherry,and the mCherry-positive cells were sorted out by flow cytometry,and then the guide RNA of mCherry gene was then infected by lentivirus to tar-get the mCherry gene,and after cell expansion,mCherry knockdown was detected by fluorescence microscope observation and flow cytometry;5 BALB/c Nude mice were subcutaneously inoculated with MIA PaCa-2-Luc2-tdT cells(1.0×107/cells each),and imaged in vivo after 36 days.Results 48 human pancreatic cancer cell strains with stable Cas9 expression were screened(including 23 cells expressing Cas9m1.1,25 cells expressing Cas9m1.1-Luc2-tdT),33 pancreatic cancer cell strains with stable expression of fluorescent proteins were screened(8 cells expressing EGFP,7 expressing mCherry,and 9 each expressing Luc2-tdT and tdTomato).Cells expressing mCherry and Cas9 were infected with mCherry gRNA and mCherry was knocked down.In vivo imaging showed that both bioluminescence and fluorescence luminescence were present in MIA PaCa-2 cells ex-pressing Luc2-tdT.Conclusions 33 pancreatic cancer cell strains with stable expression of fluorescent proteins are successfully established,in which the Luc2-tdT-expressing cell strains have luciferase activity;48 pancreatic cancer cell strains with stable expression of Cas9 are successfully established,and the Cas9 protein has gene edi-ting activity,gene editing activity varies depending on the original cell strains.

Objective In order to determine the incidence and mortality of uterine body cancer in Gansu province in 2019,the epidemic characteristics and the change trend of incidence and death from 2010 to 2019 were analyzed.Methods The quality control qualified data in Gansu province tumor registration center were used,uterine body cancer in urban and rural,age-specific inci-dence(mortality),the China standardized rate by Chinese population,the World standardized rate by World population,cumulative rate,crude incidence(mortality),composition ratio and rank,average annual percentage change(AAPC)and other indicators were calculated.Results In 2019,uterine body cancer in Gansu province ranked the seventh in the incidence of female malignant tumors,with a crude incidence of 4.43/100,000,the China standardized incidence was 3.28/100,000,and the World standardized incidence was 3.19/100,000.In 2019,uterine body cancer in Gansu province ranked the sixth among the mortality of female malignant tumors,with the crude mortality of 0.56/100,000,the China standardized mortality was 0.36/100,000,and the World standardized mortality was 0.35/100,000.The peak of morbidity(mortality)was in the age range of 50 to 54 years old.From 2010 to 2019,the incidence of uterine body cancer in Gansu province showed an overall upward trend.The China standardized incidence was AAPC=4.34%(95%CI:1.60%-7.15%),with a statistically significant trend(P<0.05);The mortality of uterine body cancer showed a fluctuating pat-tern of first rising,then decreasing,and increasing again,showing an overall downward trend.The China standardized mortality was AAPC=-11.35%(95%CI:-26.77%-7.32%),and the trend was not statistically significant(P>0.05).The incidence(mortali-ty)in rural areas was higher than that in urban areas.Conclusion The overall incidence of uterine body cancer in Gansu province is on the rise,and the death is on the decline.However,mortality in rural areas is on the rise.It is recommended to vigorously promote women′s health science popularization and education throughout the province,strictly implement the comprehensive measures of"early detection,early diagnosis,early treatment",and focus on the prevention and control of women aged 50-54,especially strengthening the early diagnosis and treatment of uterine body cancer in rural areas.

Objective To establish an automatic review plan for coagulation tests with image recognition function,and evaluate the correctness and effectiveness of the plan.Methods Artificial intelligence software and hardware were combined to establish an image recognition system that could automatically determine the characteristics of specimens,blood volume and hematocrit.The correctness of the determination results of specimen character was compared with the visual method,the correctness of the determination results of blood volume was compared with the manual measurement method,and the correctness of hematocrit was compared with the hematology analyzer.According to the flow chart,reference interval,medical decision level,critical value range,relevant literature,work experience and historical data,the autoverification rules of coagulation tests were formulated.The autoverification rules were manually verified,and the autoverification pass rate,true positive rate,true negative rate,false positive rate,and false negative rate were calculated.The change of turnaround time in the laboratory after the implementation of the autoverification scheme was evaluated.Re-sults The accuracy rate of sample trait determination in the image recognition system was 96.72％,and the false negative rate of judging hemolytic,jaundice,and lipoid blood samples as normal samples was 0.04％.The image recognition system was compared with the blood volume data of two groups of specimens measured manually,P=0.4881.The image recognition method was not inferior to the manual measurement method.Comparing the two sets of hematocrit data from the image recognition system and the blood cell analyzer,P=0.1130,the image recognition system was not inferior to the blood cell analyzer.A total of 61 automatic re-view rules for coagulation tests had been established,including numerical abnormalities,logical abnormalities,Delta Check,sample quality abnormalities,reaction curve abnormalities,etc.The automatic review pass rate was 76.19％,true positive rate was 23.77％,true negative rate was 76.19％,false positive rate was 0.04％,and false negative rate was 0.00％.After implementing the automatic audit plan,the turnaround time of sam-ples in each quantile was shortened,with an average shortening time of 13.66 min.Conclusion The applica-tion of image recognition technology in the automatic review of coagulation tests makes the automatic review function more automated and scientific,standardizes specimen quality judgment,improves the accuracy of test results,effectively improves work efficiency and saves manpower.

Background::While type 2 diabetes mellitus (T2DM) is considered a putative causal risk factor for coronary artery disease (CAD), the intrinsic link underlying T2DM and CAD is not fully understood. We aimed to highlight the importance of integrated care targeting both diseases by investigating the phenotypic and genetic relationships between T2DM and CAD.Methods::We evaluated phenotypic associations using data from the United Kingdom Biobank ( N = 472,050). We investigated genetic relationships by leveraging genomic data conducted in European ancestry for T2DM, with and without adjustment for body mass index (BMI) (T2DM: Ncase/ Ncontrol = 74,124/824,006; T2DM adjusted for BMI [T2DM adjBMI]: Ncase/ Ncontrol = 50,409/523,897) and for CAD ( Ncase/ Ncontrol = 181,522/984,168). We performed additional analyses using genomic data conducted in multiancestry individuals for T2DM ( Ncase/ Ncontrol = 180,834/1,159,055). Results::Observational analysis suggested a bidirectional relationship between T2DM and CAD (T2DM→CAD: hazard ratio [HR] = 2.12, 95% confidence interval [CI]: 2.01–2.24; CAD→T2DM: HR = 1.72, 95% CI: 1.63–1.81). A positive overall genetic correlation between T2DM and CAD was observed ( rg = 0.39, P = 1.43 × 10 -75), which was largely independent of BMI (T2DM adjBMI–CAD: rg = 0.31, P = 1.20 × 10 –36). This was corroborated by six local signals, among which 9p21.3 showed the strongest genetic correlation. Cross-trait meta-analysis replicated 101 previously reported loci and discovered six novel pleiotropic loci. Mendelian randomization analysis supported a bidirectional causal relationship (T2DM→CAD: odds ratio [OR] = 1.13, 95% CI: 1.11-1.16; CAD→T2DM: OR = 1.12, 95% CI: 1.07-1.18), which was confirmed in multiancestry individuals (T2DM→CAD: OR = 1.13, 95% CI: 1.10-1.16; CAD→T2DM: OR = 1.08, 95% CI: 1.04-1.13). This bidirectional relationship was significantly mediated by systolic blood pressure and intake of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, with mediation proportions of 54.1% (95% CI: 24.9-83.4%) and 90.4% (95% CI: 29.3-151.5%), respectively. Conclusion::Our observational and genetic analyses demonstrated an intrinsic bidirectional relationship between T2DM and CAD and clarified the biological mechanisms underlying this relationship.

Objectives To investigate the relationship between self-reported occupational noise exposure and levels of plasma inflammatory cytokines in asthmatic patients. Methods A total of 910 adult asthmatic patients were selected as the study subjects, and their occupational noise exposure history and other related information were collected. The peripheral blood samples were collected from the patients, and the expression levels of plasma soluble CD14 (sCD14), complement factor D (CFD), Eotaxin-11 (CCL11), and IL-9 were determined. The relationship between self-reported occupational noise exposure and the expression levels of the four inflammatory cytokines in patients’ plasma were analyzed using multiple linear regression models. The interactions between confounding factors and self-reported occupational noise exposure were further analyzed by interaction analysis. Results The plasma CCL11, sCD14 and CFD expressions in asthmatic patients with self-reported occupational noise exposure were significantly higher than those in patients without the exposure (P<0.05). After adjusting for confounding factors, compared with patients reporting no occupational noise exposure, the plasma CFD expression was increased by 0.17 (95% CI: 0.02, 0.31) natural logarithm units in patients with self-reported occupational noise exposure. During remission, the levels of plasma CCL11 and sCD14 in asthmatic patients with self-reported occupational noise exposure were increased by 0.27 (95% CI: 0.05, 0.49) and 0.22 (95% CI: 0.02, 0.41) natural logarithm units, respectively, when compared with patients without the exposure. Interaction analysis showed that self-reported occupational noise exposure had significant multiplicative interaction with smoking or pet ownership on plasma CCL11 or CFD expressions in asthmatic patients (all P<0.05). Conclusion Self-reported occupational noise exposure is significantly associated with increased expression levels of plasma CFD, CCL11, and sCD14 in adult asthmatic patients.