Evidence map›Paper›PMID 36069595›Full record

ArticleCartilage

Sexual Dimorphism in the Extracellular and Pericellular Matrix of Articular Cartilage.

Paula A Hernandez, Miranda Moreno, Zahra Barati, Conner Hutcherson, Adwait A Sathe, Chao Xing, Jamie Wright, Tre Welch, Yasin Dhaher

Open access · greenAbstract read
In one paragraph

Article in Cartilage. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Mechanoepigenetics in musculoskeletal disease.Osteoarthritis and cartilage · 2026
    Review
  6. Osteoarthritis as a systemic disease.Nature reviews. Rheumatology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Developing sex-accurate cell culture environments.Nature reviews bioengineering · 2025
    Article
  11. Review
  12. Review
  13. Review
  14. Review
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

9 authors at 2 institutions in 1 country.

Paula A HernandezDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-8785-7351
Miranda MorenoDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-4577-8380
Zahra BaratiDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Conner HutchersonDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Adwait A SatheEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Chao XingEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-1838-0502
Jamie WrightDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Tre WelchDepartment of Cardiovascular and Thoracic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-3645-3442
Yasin DhaherDepartment of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

Laser Scanning Confocal for UT Southwestern Live Cell Imaging FacilityS10OD021684 · OD · UT SOUTHWESTERN MEDICAL CENTER · PI LUBY-PHELPS, KATHERINE J · 2016 to 2016
$455k
NIH HHS S10 OD021684
6 · The paper itself

Abstract

objectiveWomen have a higher prevalence and burden of joint injuries and pathologies involving articular cartilage than men. Although knee injuries affecting young women are on the rise, most studies related to sexual dimorphism target postmenopausal women. We hypothesize that sexual dimorphism in cartilage structure and mechanics is present before menopause, which can contribute to sex disparities in cartilage pathologies.

designBovine knee was used as a model to study healthy adult cartilage. We compared elastic moduli under compression, abundances of extracellular and pericellular matrix (PCM) proteins using proteomics, and PCM constituency with tissue immunofluorescence. The gene expression of matrix-related genes under basal, anabolic, and catabolic conditions was assessed by quantitative polymerase chain reaction (qPCR).

resultsThe equilibrium modulus was higher in male cartilage compared with female cartilage. Proteoglycans were not associated with this biomechanical dimorphism. Proteomic and pathway analyses of tissue showed dimorphic enriched pathways in extracellular matrix (ECM)-related proteins in which male cartilage was enriched in matrix interconnectors and crosslinkers that strengthen the ECM network. Moreover, male and female tissue differed in enriched PCM components. Females had more abundance of collagen type VI and decorin, suggesting different PCM mechanics. Furthermore, the activation of regenerative and catabolic function in chondrocytes triggered sex-dependent signatures in gene expression, indicating dimorphic genetic regulation that is dependent on stimulation.

conclusionsWe provide evidence for sexual dimorphism in cartilage before menopause. Some differences are intrinsic to chondrocytes' gene expression defined by their XX versus XY chromosomal constituency.

Indexed as

Cartilage, ArticularAnimalsCattleChondrocytesExtracellular MatrixFemaleHumansMaleProteomicsSex Characteristicsarticular cartilageextracellular matrixpericellular matrixsex differences

Identifiers

PMID36069595
PMCPMC9459468
OpenAlexW4294925013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.