Evidence map›Paper›PMID 32616028›Full record

ArticleBMC musculoskeletal disorders2020

Structure and mechanical properties of high-weight-bearing and low-weight-bearing areas of hip cartilage at the micro- and nano-levels.

Jiang-Bo Guo, Ting Liang, Yan-Jun Che, Hui-Lin Yang, Zong-Ping Luo

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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  5. Effects of TJournal of magnetic resonance imaging : JMRI · 2024
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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 at 1 institution in 1 country.

Jiang-Bo GuoDepartment of Orthopaedics, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Ting LiangDepartment of Orthopaedics, Orthopaedic Institute, the First Affiliated Hospital, Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Yan-Jun CheDepartment of Orthopaedics, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Hui-Lin YangDepartment of Orthopaedics, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Zong-Ping LuoDepartment of Orthopaedics, Orthopaedic Institute, the First Affiliated Hospital, Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China. zongping_luo@yahoo.com.ORCID http://orcid.org/0000-0002-0617-2597
Soochow University · CN

Funding

Basic Research Program of Jiangsu Province (CN) BK20180196Jiangsu Planned Projects for Postdoctoral Research Funds 1601051CNational Natural Science Foundation of China (CN) 31570943Natural Science Foundation of the Jiangsu Higher Education Institutions of China 18KJB180024
6 · The paper itself

Abstract

backgroundArticular cartilage has a high-weight-bearing area and a low-weight-bearing area, the macroscopic elastic moduli of the two regions are different. Chondrocytes are affected by the applied force at the microscopic level. Currently, the modulus of the two areas at the micro and nano levels is unknown, and studies on the relationship between macro-, micro- and nano-scale elastic moduli are limited. Such information may be important for further understanding of cartilage mechanics. Moreover, the surface morphology, proteoglycan content, and micro and nano structure of the two areas, which influences the mechanical properties of cartilage should be discussed.

methodsSafranin-O/Fast Green staining was used to evaluate the surface morphology and semi-quantify proteoglycan content of porcine femoral head cartilage between the two weight-bearing areas. The unconfined compression test was used to determine the macro elastic modulus. Atomic force microscope was used to measure the micro and nano compressive elastic modulus as well as the nano structure. Scanning electron microscope was employed to evaluate the micro structure.

resultsNo significant differences in the fibrillation index were observed between two areas (P = 0.5512). The Safranin-O index of the high-weight-bearing area was significantly higher than that of the low-weight-bearing area (P = 0.0387). The compressive elastic modulus of the high-weight-bearing area at the macro and micro level was significantly higher than that of the low-weight-bearing area (P = 0.0411 for macro-scale, and P = 0.0001 for micro-scale), while no statistically significant differences were observed in the elastic modulus of collagen fibrils at the nano level (P = 0.8544). The density of the collagen fibers was significantly lower in the high-weight-bearing area (P = 0.0177). No significant differences were observed in the structure and diameter of the collagen fibers between the two areas (P = 0.7361).

conclusionsA higher proteoglycan content correlated with a higher compressive elastic modulus of the high-weight-bearing area at the micro level than that of the low-weight-bearing area, which was consistent with the trend observed from the macroscopic compressive elastic modulus. The weight-bearing level was not associated with the elastic modulus of individual collagen fibers and the diameter at the nano level. The micro structure of cartilage may influence the macro- and micro-scale elastic modulus.

Indexed as

Biomechanical PhenomenaAnimalsBiophysicsCartilage, ArticularChondrocytesCollagenCompressive StrengthElastic ModulusProteoglycansStress, MechanicalSwineWeight-BearingCollagenProteoglycansCartilageCollagen fiberElastic modulusMicro-scaleNano-scaleWeight-bearing

Identifiers

PMID32616028
PMCPMC7333404
OpenAlexW3039149575

What OpenQuestion holds

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LicenceCC BY
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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.