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


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 02 08 2018
accepted: 27 02 2019
entrez: 12 4 2019
pubmed: 12 4 2019
medline: 20 12 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30973882
doi: 10.1371/journal.pone.0213734
pii: PONE-D-18-22833
pmc: PMC6459499
doi:

Substances chimiques

Collagen Type II 0
Proteoglycans 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0213734

Déclaration de conflit d'intérêts

All authors declare that they have no competing financial interests.

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Auteurs

Tobias Haase (T)

Charité - 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.

Vikram Sunkara (V)

Computational Medicine, Dep. of Numerical Mathematics, Konrad Zuse Institute, Berlin, Germany.
Systems Pharmacology and Disease Control, Dep. of Mathematics & Computer Science, Freie Universität Berlin, Berlin, Germany.

Benjamin Kohl (B)

Charité - 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 Meier (C)

Charité - 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 Bußmann (P)

Charité - 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 Becker (J)

Charité - 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 Jagielski (M)

Charité - 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 Kleist (M)

Systems Pharmacology and Disease Control, Dep. of Mathematics & Computer Science, Freie Universität Berlin, Berlin, Germany.

Wolfgang Ertel (W)

Charité - 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.

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Classifications MeSH