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在保加利亚哮喘儿童队列中使用聚类分析鉴定特异性IgE抗体与哮喘控制的相互作用和关联

Identification of Specific IgE Antibodies and Asthma Control Interaction and Association Using Cluster Analysis in a Bulgarian Asthmatic Children Cohort.

作者信息

Lazova Snezhina, Velikova Tsvetelina, Priftis Stamatios, Petrova Guergana

机构信息

Pediatric Department, UMHATEM "N. I. Pirogov", 21 Totleben blvd, 1606 Sofia, Bulgaria.

Sofia University-Medical Faculty, University Hospital Lozenets, 1 Kozyak str, 1407 Sofia, Bulgaria.

出版信息

Antibodies (Basel). 2020 Jul 6;9(3):31. doi: 10.3390/antib9030031.

DOI:10.3390/antib9030031
PMID:32640522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7551616/
Abstract

(1) Background: Asthma is a complex heterogeneous disease that likely comprises several distinct disease phenotypes, where the clustering approach has been used to classify the heterogeneous asthma population into distinct phenotypes; (2) Methods: For a period of 1 year, we evaluated medical history data of 71 children with asthma aged 3 to 17 years, performing pulmonary function tests, drew blood for IgE antibodies against inhalation and food allergies detection, and Asthma Control Questionnaire (ACQ); (3) Results: Five distinct phenotypes were determined. Cluster 1 (n = 10): (non-atopic) the lowest IgE level, very low ACQ, and median age of diagnosis. Cluster 2 (n = 28): (mixed) the highest Body mass index (BMI) with the latest age of diagnosis and high ACQ and bronchodilator response (BDR) levels and median and IgE levels. Cluster 3 (n = 19) (atopic) early diagnosis, highest BDR, highest ACQ score, highest total, and high specific IgE levels among the clusters. Cluster 4 (n = 9): (atopic) the highest specific IgE result, relatively high BMI, and IgE with median ACQ score among clusters. Cluster 5 (n = 5): (non-atopic) the earliest age for diagnosis, with the lowest BMI, the lowest ACQ score, and specific IgE levels, with high BDR and the median level of IgE among clusters; (4) Conclusions: We identified asthma phenotypes in Bulgarian children according to IgE levels, ACQ score, BDR, and age of diagnosis.

摘要

(1) 背景:哮喘是一种复杂的异质性疾病,可能包含几种不同的疾病表型,聚类方法已被用于将异质性哮喘人群分类为不同的表型;(2) 方法:在1年的时间里,我们评估了71名3至17岁哮喘儿童的病史数据,进行了肺功能测试,抽取血液检测针对吸入性和食物过敏的IgE抗体,以及哮喘控制问卷(ACQ);(3) 结果:确定了五种不同的表型。第1组(n = 10):(非特应性)IgE水平最低,ACQ极低,诊断年龄中位数。第2组(n = 28):(混合型)体重指数(BMI)最高,诊断年龄最晚,ACQ和支气管扩张剂反应(BDR)水平高,IgE水平中位数。第3组(n = 19)(特应性)早期诊断,BDR最高,ACQ评分最高,总IgE最高,且在各群组中特异性IgE水平高。第4组(n = 9):(特应性)特异性IgE结果最高,BMI相对较高,ACQ评分中位数。第5组(n = 5):(非特应性)诊断年龄最早,BMI最低,ACQ评分最低,特异性IgE水平最低,BDR高,IgE水平中位数;(4) 结论:我们根据IgE水平、ACQ评分、BDR和诊断年龄确定了保加利亚儿童的哮喘表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/ddb6ab74ad5c/antibodies-09-00031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/253d53bba91e/antibodies-09-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/33c10e82e523/antibodies-09-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/65fb1c25d83c/antibodies-09-00031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/74995a6aaa9a/antibodies-09-00031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/ddb6ab74ad5c/antibodies-09-00031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/253d53bba91e/antibodies-09-00031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/33c10e82e523/antibodies-09-00031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/65fb1c25d83c/antibodies-09-00031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/74995a6aaa9a/antibodies-09-00031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cf4/7551616/ddb6ab74ad5c/antibodies-09-00031-g005.jpg

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Respir Med. 2019 Jul-Aug;154:144-154. doi: 10.1016/j.rmed.2019.06.024. Epub 2019 Jun 26.
2
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3
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Pulm Ther. 2016;2:19-41. doi: 10.1007/s41030-016-0017-z. Epub 2016 Jun 22.
4
Distinguishing Asthma Phenotypes Using Machine Learning Approaches.利用机器学习方法鉴别哮喘表型。
Curr Allergy Asthma Rep. 2015 Jul;15(7):38. doi: 10.1007/s11882-015-0542-0.
5
Predicting phenotypes of asthma and eczema with machine learning.利用机器学习预测哮喘和湿疹的表型。
BMC Med Genomics. 2014;7 Suppl 1(Suppl 1):S7. doi: 10.1186/1755-8794-7-S1-S7. Epub 2014 May 8.
6
Childhood asthma clusters and response to therapy in clinical trials.儿童哮喘聚集和临床试验中的治疗反应。
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Challenges in interpreting allergen microarrays in relation to clinical symptoms: a machine learning approach.与临床症状相关的过敏原微阵列解读挑战:一种机器学习方法。
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