Evidence map›Paper›PMID 39988892›Full record

ArticleConnective tissue research2025

Proteomic characterization of particle-protein coronas shows differences between osteoarthritic and contralateral knees in a rat model.

Yash Y Shah, Brittany D Partain, Jessica L Aldrich, Michael Strinden, Jon Dobson, Carlos Rinaldi-Ramos, Kyle D Allen

Abstract read
In one paragraph

Article in Connective tissue research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yash Y ShahDepartment of Materials Science and Engineering, University of Florida, Gainesville, FL, USA.
Brittany D PartainJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Jessica L AldrichJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Michael StrindenJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Jon DobsonJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Carlos Rinaldi-RamosJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Kyle D AllenJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.

Funding

OA Pathogenesis beyond Cartilage: A preclinical study of the sources of OA painR01AR071431 · NIAMS · UNIVERSITY OF FLORIDA · PI ALLEN, KYLE D · 2018 to 2022
$2.3M
Magnetic Capture of Osteoarthritis BiomarkersR01AR068424 · NIAMS · UNIVERSITY OF FLORIDA · PI ALLEN, KYLE D · 2015 to 2019
$1.6M
Manganese dioxide as a nanozyme to mitigate oxidative stress in osteoarthritisF31AR083291 · NIAMS · UNIVERSITY OF FLORIDA · PI ALDRICH, JESSICA L · 2023 to 2024
$66k
NIAMS NIH HHS F31 AR083291NIAMS NIH HHS R01 AR068424NIAMS NIH HHS R01 AR071431
6 · The paper itself

Abstract

objectiveWhen synthetic particles are injected into a biofluid, proteins nonspecifically adsorb onto the particle surface and form a protein corona. Protein coronas are known to alter how particles function in blood; however, little is known about protein corona formation in synovial fluid or how these coronas change with osteoarthritis (OA). In this study, protein coronas were characterized on particles incubated within OA-affected or healthy rat knees.

designFirst, to evaluate particle collection techniques, magnetic polystyrene particles were placed in bovine synovial fluid and separated using either magnetics or centrifugation. In a second experiment, 12 male and 12 female Lewis rats received a simulated medial meniscal injury. At 2, 5, or 8 weeks post-surgery, operated and contralateral limbs were injected with clean magnetic particles (

resultsIn the first experiment, the particle separation method affected the identified proteins, likely due to centrifugation forces causing some large proteins to spin-down with the particles. In the OA model, 300-500 proteins were identified in the particle-protein coronas with 35, 59, and 13 proteins differing between the OA-affected and contralateral limbs at 2, 5, and 8 weeks, respectively. In particular, plectin, a serine (or cysteine) proteinase inhibitor, and cathepsin B were more prominent in the particle-protein coronas of OA-affected knees.

conclusionsSynthetic particles nonspecifically adsorb proteins in synovial fluid, and these binding events differ with OA severity.

Indexed as

Knee JointOsteoarthritis, KneeProteomicsSynovial FluidAnimalsCattleDisease Models, AnimalFemaleMaleRatsRats, Inbred LewAMPK-ULK1-autophagy axiscreatinedental pulp stem cellsosteogenic differentiationPeriodontitis

Identifiers

PMID39988892
PMCPMC12177898

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.