Evidence map›Paper›PMID 34052396›Full record

ArticleOsteoarthritis and cartilage2021

Spatially-resolved nanometer-scale measurement of cartilage extracellular matrix mobility.

B D Partain, Q Zhang, M Unni, J Aldrich, C M Rinaldi-Ramos, S Narayanan, K D Allen

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

B D PartainJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Q ZhangX-ray Science Division, Argonne National Laboratory, Lemont, IL, USA.
M UnniDepartment of Chemical Engineering, University of Florida, Gainesville, FL, USA.
J AldrichJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
C M Rinaldi-RamosJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA; Department of Chemical Engineering, University of Florida, Gainesville, FL, USA.
S NarayananX-ray Science Division, Argonne National Laboratory, Lemont, IL, USA.
K D AllenJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA; Department of Orthopaedics and Rehabilitation, University of Florida, Gainesville, FL, USA. Electronic address: kyle.allen@bme.ufl.edu.
University of Florida · USArgonne National Laboratory · US

Funding

Magnetic Capture of Osteoarthritis BiomarkersR01AR068424 · NIAMS · UNIVERSITY OF FLORIDA · PI ALLEN, KYLE D · 2015 to 2019
$1.6M
NIAMS NIH HHS R01 AR068424
6 · The paper itself

Abstract

objectiveTissues have complex structures, comprised of solid and fluid phases. Improved understanding of interactions between joint fluid and extracellular matrix (ECM) is required in models of cartilage mechanics. X-ray photon correlation spectroscopy (XPCS) directly measures nanometer-scale dynamics and can provide insight into biofluid-biosolid interactions in cartilage. This study applies XPCS to evaluate dynamic interactions between intact cartilage and biofluids.

designCartilage biopsies were collected from bovine femoral condyles. During XPCS measurements, cartilage samples were exposed to different fluids: deionized water, PBS, synovial fluid, or sonicated synovial fluid. ECM-biofluid interactions were also assessed at different length scales and different depths from the cartilage surface.

resultsUsing XPCS, cartilage ECM mobility was detected at length scales from 50 to 207 nm. As length scale decreased, time scale for autocorrelation decay decreased, suggesting smaller ECM components are more mobile. ECM dynamics were slowed by dehydrating the sample, demonstrating XPCS assesses matrix mobility in hydrated environments. At all length scales, the matrix was more mobile in deionized water and slowest in synovial fluid. Using the 207 nm length scale assessment, ECM dynamics in synovial fluid were fastest at the cartilage surface and progressively slowed as depth into the sample increased, demonstrating XPCS can assess spatial distribution of ECM dynamics. Finally, ECM mobility increased for degraded synovial fluid.

conclusionsThis study demonstrates the potential of XPCS to provide unique insights into nanometer-scale cartilage ECM mobility in a spatially resolved manner and illustrates the importance of biosolid-biofluid interactions in dictating ECM dynamics.

Indexed as

Extracellular MatrixSynovial FluidAnimalsCartilage, ArticularCattleSpectrum AnalysisCartilageExtracellular matrix mobilitySynovial fluidX-ray photon correlation spectroscopy (XPCS)

Identifiers

PMID34052396
PMCPMC8543368
OpenAlexW3164121078

What OpenQuestion holds

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Registered trials

None linked

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.