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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 | |
2021-03 | |
Source Publication | Journal of Medical Virology |
ISSN | 0146-6615 |
Volume | 93Issue: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. |
Keyword | Covid-19 Iga Igg Prediction Effects |
DOI | 10.1002/jmv.26437 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Virology |
WOS Subject | Virology |
WOS ID | WOS:000573832900001 |
Publisher | WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ |
The Source to Article | Scopus |
Scopus ID | 2-s2.0-85091682013 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences |
Corresponding Author | Zhang X.D.; Sun B. |
Affiliation | 1.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 Affilication | Faculty 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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