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Nanoparticle-enabled plasma proteomics of a mouse atherosclerosis model.

Title: Nanoparticle-enabled plasma proteomics of a mouse atherosclerosis model.
Authors: Delwarde C; Matamalas JT; Chelvanambi S; Kasai T; Shlayen G; Santinelli-Pestana DV; Zamani M; Aikawa E; Aikawa M; Singh SA
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Aug 14. Date of Electronic Publication: 2025 Aug 14.
Publication Type: Journal Article; Preprint
Language: English
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Abstract: Background: Dyslipidemia, marked by elevated LDL-cholesterol (LDL-C), is a major risk factor for coronary heart disease. Mouse models, such as Ldlr-/- mice that develop atherosclerosis and metabolic disorders when fed a high-fat diet (HFD), are indispensable for studying disease mechanisms and identifying potential biomarkers.; Objectives: We aimed to profile the plasma proteins of a widely studied experimental atherosclerosis model with a primary goal to detect low-abundant proteins.; Methods: Ldlr-/- mice were fed a chow diet or HFD or 3 (n = 27 per diet) or 6 months (n = 12 per diet). Plasma samples were processed using nanoparticle technology (Proteograph® XT Assay; Seer, Inc), and peptides were analyzed using the Orbitrap Astral (Thermo Fisher Scientific) in data-independent acquisition mode. For tissue proteomics, ten aortas were pooled for n = 4 pools per diet and month, and n = 6 livers per diet and month. Peptides were analyzed on the Orbitrap Exploris 480 in data-dependent mode. Proteomes were queried against the Tabula Muris mouse single-cell, STRING, and Gene Ontology databases, and queried against a genome-wide association list of 419 risk loci for coronary artery disease.; Results: We sequenced 5,080 plasma proteins, surpassing previous reports by 10-fold. The prototypical apolipoproteins and complement factors were the most intense proteins, whereas proteins associated with cytokine/chemokine signaling represent the previously uncharted mouse plasma proteome. We divided the proteome into quartiles (Q1-Q4) to monitor sweeping changes over time. Proteins with a sustained enrichment in HFD (n = 705) are indicative of liver cell subtypes (Tabula Muris). Whereas proteins that moved up from the lower quartiles - Q2 (n = 228), Q3 (115) and Q4 (63) - indicate leukocytes and fibroblasts, and endothelial cells; demonstrating that signatures of inflammation and endothelial activation increase with disease progression. Notably, 86 and 146 proteins were increased at 3 and 6 months, including MMP-12 and COL6A3. Classical apolipoproteins exhibited heterogeneous responses - SAA3 and APOC2 increased, while APOA1, APOE, and LCAT decreased with high-fat feeding, indicating impaired high-density lipoprotein (HDL) functionality. Proteins shared between plasma and aorta were enriched for extracellular matrix components, while those overlapping with liver reflected metabolic processes. Finally, 120 CAD-associated proteins from human GWAS were detected in Ldlr-/- plasma, of which 4, including lipoprotein lipase, exhibited an increase in abundance with HFD.; Conclusions: Nanoparticle-dependent proteome enrichment coupled to mass spectrometry may allow us to identify novel plasma biomarkers in Ldlr-/- mice and facilitate monitoring of candidate proteins associated with human disease mechanisms in preclinical interventional studies, thereby opening new avenues for understanding disease pathology and uncovering understudied molecular contributors.
Entry Date(s): Date Created: 20250806 Date Completed: 20250914 Latest Revision: 20250914
Update Code: 20260130
PubMed Central ID: PMC12324543
DOI: 10.1101/2025.08.01.667173
PMID: 40766711
Database: MEDLINE

Journal Article; Preprint