Conjugated linoleic acid (CLA) modulates bovine peripheral blood mononuclear cells (PBMC) proteome in vitro.

Antiapoptotic Bovine PBMC proteome Conjugated linoleic acid HMOX1 ITIH4 Immunomodulation SERPINA3–7

Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
21 Jun 2024
Historique:
received: 20 04 2024
revised: 16 06 2024
accepted: 20 06 2024
medline: 24 6 2024
pubmed: 24 6 2024
entrez: 23 6 2024
Statut: aheadofprint

Résumé

Conjugated linoleic acid (CLA) is a group of natural isomers of the n-6 polyunsaturated fatty acid (PUFA) linoleic acid, exerting biological effects on cow physiology. This study assessed the impact of the mixture 50:50 (vol:vol) of CLA isomers (cis-9, trans-11 and trans-10, cis-12) on bovine peripheral blood mononuclear cells (PBMC) proteome, identifying 1608 quantifiable proteins. A supervised multivariate statistical analysis, sparse variant partial least squares - discriminant analysis (sPLS-DA) for paired data identified 407 discriminant proteins (DP), allowing the clustering between the CLA and controls. The ProteINSIDE workflow found that DP with higher abundance in the CLA group included proteins related to innate immune defenses (PLIN2, CD36, C3, C4, and AGP), with antiapoptotic (SERPINF2 and ITIH4) and antioxidant effects (HMOX1). These results demonstrated that CLA modulates the bovine PBMC proteome, supports the antiapoptotic and immunomodulatory effects observed in previous in vitro studies on bovine PBMC, and suggests a cytoprotective role against oxidative stress. SIGNIFICANCE: In this study, we report for the first time that the mixture 50:50 (vol:vol) of cis-9, trans-11, and trans-10, cis-12-CLA isomers modulates the bovine PBMC proteome. Our results support the immunomodulatory and antiapoptotic effects observed in bovine PBMC in vitro. In addition, the present study proposes a cytoprotective role of CLA mixture against oxidative stress. We suggest a molecular signature of CLA treatment based on combining a multivariate sparse discriminant analysis and a clustering method. This demonstrates the great value of sPLS-DA as an alternative option to identify discriminant proteins with relevant biological significance.

Identifiants

pubmed: 38909954
pii: S1874-3919(24)00164-7
doi: 10.1016/j.jprot.2024.105232
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105232

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest None of the authors of this paper has a financial or personal relationship with other people or organizations that could inappropriately influence or bias the paper's content.

Auteurs

G Ávila (G)

Department of Veterinary Medicine and Animal Science, Università Degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy. Electronic address: gby31193@gmail.com.

F Ceciliani (F)

Department of Veterinary Medicine and Animal Science, Università Degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy.

D Viala (D)

INRAE, Université Clermont Auvergne, Vetagro Sup, UMRH, 63122 Saint-Genès-Champanelle, France; INRAE, Metabolomic and Proteomic Exploration Facility (PFEM), F-63122 Saint-Genès-Champanelle, France.

S Dejean (S)

Institut de Mathématiques de Toulouse, Université de Toulouse, CNRS, UPS, UMR 5219, 31062 Toulouse, France.

G Sala (G)

Department of Veterinary Medicine and Animal Science, Università Degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy.

C Lecchi (C)

Department of Veterinary Medicine and Animal Science, Università Degli Studi di Milano, Via dell'Università 6, 26900 Lodi, Italy.

M Bonnet (M)

INRAE, Université Clermont Auvergne, Vetagro Sup, UMRH, 63122 Saint-Genès-Champanelle, France.

Classifications MeSH