Temporal associations of plasma levels of the secreted phospholipase A2 family and mortality in severe COVID‐19

Author:

Lu Eric1ORCID,Hara Aki2ORCID,Sun Shudong34,Hallmark Brian5,Snider Justin M.267,Seeds Michael C.8,Watkins Joseph C.34,McCall Charles E.9,Zhang Hao Helen34,Yao Guang1,Chilton Floyd H.257

Affiliation:

1. Department of Molecular and Cellular Biology University of Arizona Tucson Arizona USA

2. School of Nutritional Sciences and Wellness College of Agriculture and Life Sciences University of Arizona Tucson Arizona USA

3. Department of Mathematics University of Arizona Tucson Arizona USA

4. Statistics Interdisciplinary Program University of Arizona Tucson Arizona USA

5. BIO5 Institute University of Arizona Tucson Arizona USA

6. Arizona Cancer Center University of Arizona Tucson Arizona USA

7. Center for Precision Nutrition and Wellness University of Arizona Tucson Arizona USA

8. Wake Forest Institute of Regenerative Medicine Wake Forest School of Medicine Winston‐Salem North Carolina USA

9. Departments of Internal Medicine Microbiology and Immunology and Clinical and Translational Sciences Institute Wake Forest School of Medicine Winston Salem North Carolina USA

Abstract

AbstractPrevious research suggests that group IIA‐secreted phospholipase A2 (sPLA2‐IIA) plays a role in and predicts lethal COVID‐19 disease. The current study reanalyzed a longitudinal proteomic data set to determine the temporal relationship between levels of several members of a family of sPLA2 isoforms and the severity of COVID‐19 in 214 ICU patients. The levels of six secreted PLA2 isoforms, sPLA2‐IIA, sPLA2‐V, sPLA2‐X, sPLA2‐IB, sPLA2‐IIC, and sPLA2‐XVI, increased over the first 7 ICU days in those who succumbed to the disease but attenuated over the same time period in survivors. In contrast, a reversed pattern in sPLA2‐IID and sPLA2‐XIIB levels over 7 days suggests a protective role of these two isoforms. Furthermore, decision tree models demonstrated that sPLA2‐IIA outperformed top‐ranked cytokines and chemokines as a predictor of patient outcome. Taken together, proteomic analysis revealed temporal sPLA2 patterns that reflect the critical roles of sPLA2 isoforms in severe COVID‐19 disease.

Funder

Agricultural Research Service

National Institutes of Health

Publisher

Wiley

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