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Evaluation of the clinical performance of multiple serum sIgE detection systems based on component-resolved diagnosis.
Huang, Zhifeng; Li, Aoli; Yin, Ziyu; Chen, Tong; Gan, Hui; Lin, Zhiwei; Xue, Mingshan; Huang, Huimin; Sun, Baoqing.
Afiliação
  • Huang Z; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Li A; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Yin Z; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Chen T; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Gan H; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Lin Z; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Xue M; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Huang H; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
  • Sun B; Department of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Ch
Article em En | MEDLINE | ID: mdl-38877847
ABSTRACT

BACKGROUND:

Serum allergen-specific IgE (sIgE) detection is an important tool in the diagnosis of allergic diseases. However, the absence of international standards for sIgE detection systems raises questions about the comparability of different systems.

OBJECTIVE:

This study aims to evaluate three common allergen sIgE detection systems, with a primary focus on detecting dust mite allergens.

METHODS:

We recruited 85 children with rhinitis and 15 healthy control children. The subjects underwent testing with three different sIgE detection systems, including magnetic particle flow fluorescence, magnetic particle chemiluminescence, and protein chip, to detect sIgE levels to HDM extracts. In addition, skin prick testing (SPT) was conducted, and protein chip technology was performed to measure sIgE levels to component proteins.

RESULTS:

Our findings reveal strong consistency between SPT and the three in vitro detection systems, with consistency exceeding 71.76% for dust mite allergens. Moreover, there was excellent consistency and RAST class consistency among the three in vitro detection systems, with scores exceeding 94.12% and 89.00%, respectively. And for the 13 additional allergens crude extracts sIgE simultaneously detected by systems 1 and 2, the results showed that the consistency of both systems was above 87.00%, and the RAST class consistency was above 82.00%.

CONCLUSION:

The three serum sIgE detection systems exhibited an approximate 80% concordance rate with SPT in identifying dust mite allergens. Furthermore, these systems demonstrated excellent consistency and RAST class consistency among themselves. These findings suggest that the three assays introduced in this study are interchangeable in allergen diagnosis.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Asian Pac J Allergy Immunol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Asian Pac J Allergy Immunol Ano de publicação: 2024 Tipo de documento: Article