The Erythrocyte Membrane Lipidome of Healthy Dogs: Creating a Benchmark of Fatty Acid Distribution and Interval Values.
fatty acids cluster
healthy dog membrane profile
lipidomic profiles
membrane fatty acid
red blood cell lipidome
Journal
Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658
Informations de publication
Date de publication:
2020
2020
Historique:
received:
25
04
2020
accepted:
02
07
2020
entrez:
25
9
2020
pubmed:
26
9
2020
medline:
26
9
2020
Statut:
epublish
Résumé
Molecular-based approaches are rapidly developing in medicine for the evaluation of physiological and pathological conditions and discovery of new biomarkers in prevention and therapy. Fatty acid diversity and roles in health and disease in humans are topical subjects of lipidomics. In particular, membrane fatty acid-based lipidomics provides molecular data of relevance in the study of human chronic diseases, connecting metabolic, and nutritional aspects to health conditions. In veterinary medicine, membrane lipidomics, and fatty acid profiles have not been developed yet in nutritional approaches to health and in disease conditions. Using a protocol widely tested in human profiling, in the present study erythrocyte membrane lipidome was examined in 68 clinically healthy dogs, with different ages, sex, and sizes. In particular, a cluster composed of 10 fatty acids, present in membrane glycerophospholipids and representative of structural and functional properties of cell membrane, was chosen, and quantitatively analyzed. The interval values and distribution for each fatty acid of the cluster were determined, providing the first panel describing the healthy dog lipidomic membrane profile, with interesting correlation to bodyweight increases. This molecular information can be advantageously developed as benchmark in veterinary medicine for the evaluation of metabolic and nutritional status in healthy and diseased dogs.
Identifiants
pubmed: 32974399
doi: 10.3389/fvets.2020.00502
pmc: PMC7472600
doi:
Types de publication
Journal Article
Langues
eng
Pagination
502Informations de copyright
Copyright © 2020 Prasinou, Crisi, Chatgilialoglu, Di Tommaso, Sansone, Gramenzi, Belà, De Santis, Boari and Ferreri.
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