Predictive effects of IgA and IgG combination to assess pulmonary exudation progression in COVID-19 patients

Mingshan Xue, Teng Zhang, Haisheng Hu, Zhifeng Huang, Yingjie Zhen, Yueting Liang, Yifeng Zeng, Tengchuan Jin, Luqian Zhou, Xiaohua D. Zhang, Baoqing Sun

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)1443-1448
Number of pages6
JournalJournal of Medical Virology
Volume93
Issue number3
DOIs
StatePublished - Mar 2021

Bibliographical note

Funding Information:
We would like to thank Editage ( www.editage.com ) for English language editing. This work was supported by Guangdong Science and Technology Fund (No. 2020B1111300001), Zhejiang University special scientific research fund for COVID‐19 prevention and control (Nos. 2020XGZX001, 2020XGZX025). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding was received for this study.

Funding Information:
We would like to thank Editage (www.editage.com) for English language editing. This work was supported by Guangdong Science and Technology Fund (No. 2020B1111300001), Zhejiang University special scientific research fund for COVID-19 prevention and control (Nos. 2020XGZX001, 2020XGZX025). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No additional external funding was received for this study.

Publisher Copyright:
© 2020 Wiley Periodicals LLC

Keywords

  • COVID-19
  • IgA
  • IgG
  • prediction effects

ASJC Scopus subject areas

  • Virology
  • Infectious Diseases

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