Evidence map›Paper›PMID 33112509›Full record

ArticleAging cell2020

Naked mole-rats are extremely resistant to post-traumatic osteoarthritis.

Taketo Taguchi, Alexander Kotelsky, Masaki Takasugi, Martin Chang, Zhonghe Ke, Megan Betancourt, Mark R Buckley, Michael Zuscik, Andrei Seluanov, Vera Gorbunova

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
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  4. Bodyweight, locomotion, and behavioral responses of the naked mole rat (Heterocephalus glaber) to lipopolysaccharide administration.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2022
    Article
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  7. Review
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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

10 authors at 1 institution in 1 country.

Taketo TaguchiDepartments of Biology, University of Rochester, Rochester, NY, USA.
Alexander KotelskyDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA.
Masaki TakasugiDepartments of Biology, University of Rochester, Rochester, NY, USA.
Martin ChangCenter for Musculoskeletal Research, University of Rochester School of Medicine, Rochester, NY, USA.
Zhonghe KeDepartments of Biology, University of Rochester, Rochester, NY, USA.
Megan BetancourtDepartments of Biology, University of Rochester, Rochester, NY, USA.
Mark R BuckleyDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA.
Michael ZuscikCenter for Musculoskeletal Research, University of Rochester School of Medicine, Rochester, NY, USA.
Andrei SeluanovDepartments of Biology and Medicine, University of Rochester, Rochester, NY, USA.
Vera GorbunovaDepartments of Biology and Medicine, University of Rochester, Rochester, NY, USA.ORCID 0000-0001-8979-0333
University of Rochester · US

Funding

The role of hyaluronan in longevity and cancer resistance of longest-lived rodentP01AG047200 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2014 to 2026
$36.9M
Somatic Activation of Retrotransposition: A New Molecular Mechanism of Aging?P01AG051449 · NIA · BROWN UNIVERSITY · PI John M Sedivy · 2016 to 2026
$30.4M
The role of SIRT6 posttranslational modifications in aging and genome stability. Supplement: Testing SIRT6 activators as potential Alzheimer's disease therapy.R01AG027237 · NIA · UNIVERSITY OF ROCHESTER · PI Vera Gorbunova · 2006 to 2026
$6.2M
Regulation of epigenome stability by SIRT6 during aging. Supplement: Does centenarian variant of SIRT6 or bowhead whale SIRT6 confer protection from Alzheimer's disease?R37AG046320 · NIA · UNIVERSITY OF ROCHESTER · PI Andrei Seluanov · 2019 to 2026
$4.7M
NIA NIH HHS P01 AG047200NIA NIH HHS P01 AG051449NIA NIH HHS R01 AG027237NIA NIH HHS R37 AG046320
6 · The paper itself

Abstract

Osteoarthritis (OA) is the most prevalent disabling disease, affecting quality of life and contributing to morbidity, particularly during aging. Current treatments for OA are limited to palliation: pain management and surgery for end-stage disease. Innovative approaches and animal models are needed to develop curative treatments for OA. Here, we investigated the naked mole-rat (NMR) as a potential model of OA resistance. NMR is a small rodent with the maximum lifespan of over 30 years, resistant to a wide range of age-related diseases. NMR tissues accumulate large quantities of unique, very high molecular weight, hyaluronan (HA). HA is a major component of cartilage and synovial fluid. Importantly, both HA molecular weight and cartilage stiffness decline with age and progression of OA. As increased polymer length is known to result in stiffer material, we hypothesized that NMR high molecular weight HA contributes to stiffer cartilage. Our analysis of biomechanical properties of NMR cartilage revealed that it is significantly stiffer than mouse cartilage. Furthermore, NMR chondrocytes were highly resistant to traumatic damage. In vivo experiments using an injury-induced model of OA revealed that NMRs were highly resistant to OA. While similarly treated mice developed severe cartilage degeneration, NMRs did not show any signs of OA. Our study shows that NMRs are remarkably resistant to OA, and this resistance is likely conferred by high molecular weight HA. This work suggests that NMR is a useful model to study OA resistance and NMR high molecular weight HA may hold therapeutic potential for OA treatment.

Indexed as

AnimalsDisease Models, AnimalMole RatsOsteoarthritisagingnaked mole ratostheoarthritis

Identifiers

PMID33112509
PMCPMC7681040
OpenAlexW3096840278

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.