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Multi‐Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome.
- Source :
-
Advanced Science . 9/11/2024, Vol. 11 Issue 34, p1-17. 17p. - Publication Year :
- 2024
-
Abstract
- As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRRS) imposes substantial economic losses on the swine industry. Identification of diagnostic markers and therapeutic targets has been a focal challenge in PPRS prevention and control. By integrating metabolomic and lipidomic serum analyses of clinical pig cohorts through a machine learning approach with in vivo and in vitro infection models, lysophosphatidic acid (LPA) is discovered as a serum metabolic biomarker for PRRS virus (PRRSV) clinical diagnosis. PRRSV promoted LPA synthesis by upregulating the autotaxin expression, which causes innate immunosuppression by dampening the retinoic acid‐inducible gene I (RIG‐I) and type I interferon responses, leading to enhanced virus replication. Targeting LPA demonstrated protection against virus infection and associated disease outcomes in infected pigs, indicating that LPA is a novel antiviral target against PRRSV. This study lays a foundation for clinical prevention and control of PRRSV infections. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21983844
- Volume :
- 11
- Issue :
- 34
- Database :
- Academic Search Index
- Journal :
- Advanced Science
- Publication Type :
- Academic Journal
- Accession number :
- 179944312
- Full Text :
- https://doi.org/10.1002/advs.202402025