Evidence map›Paper›PMID 38204091›Full record

ArticleMaterials (Basel, Switzerland)2024

Depth-Dependent Strain Model (1D) for Anisotropic Fibrils in Articular Cartilage.

Syeda Batool, Bradley J Roth, Yang Xia

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. 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
1.9field-weighted citation impact, top 16% 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. Review
  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

3 authors at 1 institution in 1 country.

Syeda BatoolDepartment of Physics, Oakland University, Rochester, MI 48309, USA.
Bradley J RothDepartment of Physics, Oakland University, Rochester, MI 48309, USA.ORCID 0000-0003-4321-9806
Yang XiaDepartment of Physics, Oakland University, Rochester, MI 48309, USA.ORCID 0000-0003-4653-1862
Oakland University · US

Funding

ACL Deficiency Modifies Topographical Degradation in Posttraumatic OsteoarthritisR01AR069047 · NIAMS · OAKLAND UNIVERSITY · PI XIA, YANG · 2016 to 2022
$2.2M
NIAMS NIH HHS R01 AR069047NIH HHS R01AR69047
6 · The paper itself

Abstract

The mechanical response of articular cartilage (AC) under compression is anisotropic and depth-dependent. AC is osmotically active, and its intrinsic osmotic swelling pressure is balanced by its collagen fibril network. This mechanism requires the collagen fibers to be under a state of tensile pre-strain. A simple mathematical model is used to explain the depth-dependent strain calculations observed in articular cartilage under 1D axial compression (perpendicular to the articular surface). The collagen fibers are under pre-strain, influenced by proteoglycan concentration (fixed charged density, FCD) and collagen stiffness against swelling stress. The stiffness is introduced in our model as an anisotropic modulus that varies with fibril orientation through tissue depth. The collagen fibers are stiffer to stretching parallel to their length than perpendicular to it; when combined with depth-varying FCD, the model successfully predicts how tissue strains decrease with depth during compression. In summary, this model highlights that the mechanical properties of cartilage depend not only on proteoglycan concentration but also on the intrinsic properties of the pre-strained collagen network. These properties are essential for the proper functioning of articular cartilage.

Indexed as

1D axial compression1D mathematical modelanisotropic fibril modulusfibril pre-strainfixed charged densityintra-tissue strains

Identifiers

PMID38204091
PMCPMC10779946
OpenAlexW4390479364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.