Evidence map›Paper›PMID 30973882›Full record

ArticlePloS one2019

Discerning the spatio-temporal disease patterns of surgically induced OA mouse models.

Tobias Haase, Vikram Sunkara, Benjamin Kohl, Carola Meier, Patricia Bußmann, Jessica Becker, Michal Jagielski, Max von Kleist, Wolfgang Ertel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.4field-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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Experimental Therapeutics for the Treatment of Osteoarthritis.Journal of experimental pharmacology · 2021
    Review
  8. 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 3 institutions in 1 country.

Tobias HaaseCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.ORCID 0000-0002-7220-602X
Vikram SunkaraComputational Medicine, Dep. of Numerical Mathematics, Konrad Zuse Institute, Berlin, Germany.
Benjamin KohlCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Carola MeierCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Patricia BußmannCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Jessica BeckerCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Michal JagielskiCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Max von KleistSystems Pharmacology and Disease Control, Dep. of Mathematics & Computer Science, Freie Universität Berlin, Berlin, Germany.
Wolfgang ErtelCharité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Traumatology and Reconstructive Surgery, Berlin, Germany.
Humboldt-Universität zu Berlin · DEFreie Universität Berlin · DEZuse Institute Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is the most common cause of disability in ageing societies, with no effective therapies available to date. Two preclinical models are widely used to validate novel OA interventions (MCL-MM and DMM). Our aim is to discern disease dynamics in these models to provide a clear timeline in which various pathological changes occur. OA was surgically induced in mice by destabilisation of the medial meniscus. Analysis of OA progression revealed that the intensity and duration of chondrocyte loss and cartilage lesion formation were significantly different in MCL-MM vs DMM. Firstly, apoptosis was seen prior to week two and was narrowly restricted to the weight bearing area. Four weeks post injury the magnitude of apoptosis led to a 40-60% reduction of chondrocytes in the non-calcified zone. Secondly, the progression of cell loss preceded the structural changes of the cartilage spatio-temporally. Lastly, while proteoglycan loss was similar in both models, collagen type II degradation only occurred more prominently in MCL-MM. Dynamics of chondrocyte loss and lesion formation in preclinical models has important implications for validating new therapeutic strategies. Our work could be helpful in assessing the feasibility and expected response of the DMM- and the MCL-MM models to chondrocyte mediated therapies.

Indexed as

AnimalsApoptosisCartilage, ArticularChondrocytesCollagen Type IIDisease Models, AnimalHumansMenisci, TibialMiceMice, Inbred C57BLOsteoarthritisProteoglycansProteolysisWeight-BearingCollagen Type IIProteoglycans

Identifiers

PMID30973882
PMCPMC6459499
OpenAlexW2938251405

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.