Multi-Omics Analysis by Machine Learning Identified Lysophosphatidic Acid as a Biomarker and Therapeutic Target for Porcine Reproductive and Respiratory Syndrome.
Adv Sci (Weinh)
; 11(34): e2402025, 2024 Sep.
Article
en En
| MEDLINE
| ID: mdl-38976572
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Lisofosfolípidos
/
Biomarcadores
/
Virus del Síndrome Respiratorio y Reproductivo Porcino
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Síndrome Respiratorio y de la Reproducción Porcina
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Aprendizaje Automático
Límite:
Animals
Idioma:
En
Revista:
Adv Sci (Weinh)
/
Advanced science (Weinheim)
Año:
2024
Tipo del documento:
Article
País de afiliación:
China
Pais de publicación:
Alemania