Evidence map›Paper›PMID 20553797›Full record

ArticleJournal of biomechanics2010

Validation of theoretical framework explaining active solute uptake in dynamically loaded porous media.

Michael B Albro, Roland Li, Rajan E Banerjee, Clark T Hung, Gerard A Ateshian

Abstract readValidation Study
In one paragraph

Article in Journal of biomechanics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

5 authors.

Michael B AlbroDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Roland Li
Rajan E Banerjee
Clark T Hung
Gerard A Ateshian

Funding

Anisotropy and Nonlinearity of Cartilage MechanicsR01AR046532 · NIAMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ATESHIAN, GERARD A. · 2000 to 2008
$2.1M
NIAMS NIH HHS AR46532NIAMS NIH HHS R01 AR046532
6 · The paper itself

Abstract

Solute transport in biological tissues is a fundamental process necessary for cell metabolism. In connective soft tissues, such as articular cartilage, cells are embedded within a dense extracellular matrix that hinders the transport of solutes. However, according to a recent theoretical study (Mauck et al., 2003, J. Biomech. Eng. 125, 602-614), the convective motion of a dynamically loaded porous solid matrix can also impart momentum to solutes, pumping them into the tissue and giving rise to concentrations which exceed those achived under passive diffusion alone. In this study, the theoretical predictions of this model are verified against experimental measurements. The mechanical and transport properties of an agarose-dextran model system were characterized from independent measurements and substituted into the theory to predict solute uptake or desorption under dynamic mechanical loading for various agarose concentrations and dextran molecular weights, as well as different boundary and initial conditions. In every tested case, agreement was observed between experiments and theoretical predictions as assessed by coefficients of determination ranging from R(2)=0.61 to 0.95. These results provide strong support for the hypothesis that dynamic loading of a deformable porous tissue can produce active transport of solutes via a pumping mechanisms mediated by momentum exchange between the solute and solid matrix.

Indexed as

Models, BiologicalBiological Transport, ActiveBiomechanical PhenomenaCartilage, ArticularConnective TissueDextransPorositySepharoseSolutionsTissue EngineeringDextransSepharoseSolutions

Identifiers

PMID20553797
PMCPMC2993250

What OpenQuestion holds

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Registered trials

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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.