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Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients
Xue M.1; Zhang T.2; Hu H.1; Huang Z.1; Zhen Y.1; Liang Y.1; Zeng Y.1; Jin T.3; Zhou L.1; Zhang X.D.2; Sun B.1
2021
Source PublicationJournal of Medical Virology
ISSN0146-6615
Volume93Issue:3Pages:1443-1448
Abstract

Our study intended to longitudinally explore the prediction effect of immunoglobulin A (IgA) on pulmonary exudation progression in COVID-19 patients. The serum IgA was tested with chemiluminescence method. Autoregressive moving average model was used to extrapolate the IgA levels before hospital admission. The positive rate of IgA and IgG in our cohort was 97% and 79.0%, respectively. In this study, the IgA levels peaks within 10-15 days after admission, while the IgG levels peaks at admission. We found that the time difference between their peaks was about 10 days. Viral RNA detection results showed that the positive rate in sputum and feces were the highest. Blood gas analysis showed that deterioration of hypoxia with the enlargement of pulmonary exudation area. And alveolar-arterial oxygen difference and oxygenation index were correlated with IgA and IgG. The results of biopsy showed that the epithelium of lung was exfoliated and the mucosa was edematous. In severe COVID-19 patients, the combination of IgA and IgG can predict the progress of pulmonary lesions and is closely related to hypoxemia and both also play an important defense role in invasion and destruction of bronchial and alveolar epithelium by SARS-CoV-2.

KeywordCovid-19 Iga Igg Prediction Effects
DOI10.1002/jmv.26437
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaVirology
WOS SubjectVirology
WOS IDWOS:000573832900001
The Source to ArticleScopus
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhang X.D.; Sun B.
Affiliation1.State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China;
2.Faculty of Health Sciences, University of Macau, Taipa, Macau;
3.Hefei National Laboratory for Physical Sciences at Microscale, Laboratory of Structural Immunology, CAS Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
Corresponding Author AffilicationFaculty of Health Sciences
Recommended Citation
GB/T 7714
Xue M.,Zhang T.,Hu H.,et al. Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients[J]. Journal of Medical Virology,2021,93(3):1443-1448.
APA Xue M.,Zhang T.,Hu H.,Huang Z.,Zhen Y.,Liang Y.,Zeng Y.,Jin T.,Zhou L.,Zhang X.D.,&Sun B..(2021).Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients.Journal of Medical Virology,93(3),1443-1448.
MLA Xue M.,et al."Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients".Journal of Medical Virology 93.3(2021):1443-1448.
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