Titel (eng)

Characterization of the plasma proteome from healthy adult dogs

Autor*in

Pavlos G. Doulidis   University of Veterinary Medicine Vienna

Iwan A. Burgener   University of Veterinary Medicine Vienna

Alexandro Rodríguez-Rojas   University of Veterinary Medicine Vienna

Benno Kuropka   Freie Universität Berlin

Carolina Frizzo Ramos   University of Veterinary Medicine Vienna

Verlag

Frontiers Media Sa

Beschreibung (eng)

Bloodwork is a widely used diagnostic tool in veterinary medicine, as diagnosis and therapeutic interventions often rely on blood biomarkers. However, biomarkers available in veterinary medicine often lack sensitivity or specificity. Mass spectrometry-based proteomics technology has been extensively used in the analysis of biological fluids. It offers excellent potential for a more comprehensive characterization of the plasma proteome in veterinary medicine.In this study, we aimed to identify and quantify plasma proteins in a cohort of healthy dogs and compare two techniques for depleting high-abundance plasma proteins to enable the detection of lower-abundance proteins via label-free quantification liquid chromatography-mass spectrometry. We utilized surplus lithium-heparin plasma from 30 healthy dogs, subdivided into five groups of pooled plasma from 6 randomly selected individuals each. Firstly, we used a commercial kit to deplete high-abundance plasma proteins. Secondly, we employed an in-house method to remove albumin using Blue-Sepharose.Among all the samples, some of the most abundant proteins identified were apolipoprotein A and B, albumin, alpha-2-macroglobulin, fibrinogen beta chain, fibronectin, complement C3, serotransferrin, and coagulation factor V. However, neither of the depletion techniques achieved significant depletion of highly abundant proteins. Despite this limitation, we could detect and quantify many clinically relevant proteins. Determining the healthy canine proteome is a crucial first step in establishing a reference proteome for canine plasma. After enrichment, this reference proteome can later be utilized to identify protein markers associated with different diseases, thereby contributing to the diagnosis and prognosis of various pathologies.

Sprache des Objekts

Englisch

Datum

2024

Rechte

Dieses Werk bzw. dieser Inhalt steht unter einer
CC BY 4.0 - Creative Commons Namensnennung 4.0 International Lizenz.

CC BY 4.0 International

http://creativecommons.org/licenses/by/4.0/

Klassifikation

Mass-Spectrometry; Computational Platform; Canine Leishmaniasis; Biomarker Discovery; Proteins; Serum; Depletion; Fibrinogen; Fluid; Rat

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Mitglied in der/den Collection(s) (1)