Johanne Martel-Pelletier

Dr. Johanne Martel-Pelletier

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Research Focus & Metrics

Academic Career Length

42Years (1985-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 November 2010 in Nature Reviews Rheumatology
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Journal Article
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MKMohit Kapoor
Mohit Kapoor
JMJohanne Martel-Pelletier
Johanne Martel-Pelletier
DLDaniel Lajeunesse
Daniel Lajeunesse
JPJean-Pierre Pelletier
Jean-Pierre Pelletier
HFHassan Fahmi
Hassan Fahmi

13 October 2016 in Nature Reviews Disease Primers
Verified
Journal Article
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JMJohanne Martel-Pelletier
Johanne Martel-Pelletier
ABAndrew J. Barr
Andrew J. Barr
FCFlavia M. Cicuttini
Flavia M. Cicuttini
PCPhilip Conaghan
Philip Conaghan
CCCyrus Cooper
Cyrus Cooper
JPJean-Pierre Pelletier
Jean-Pierre Pelletier

1 December 2019 in Seminars in Arthritis and Rheumatism
Verified
Journal Article
Open access
Olivier BruyèreOlivier Bruyère
Olivier Bruyère
GHGermain Honvo
Germain Honvo
NVNicola Veronese
Nicola Veronese
NANigel K. Arden
Nigel K. Arden
Jaime BrancoJaime Branco
Jaime Branco
JRJean-Yves Reginster
Jean-Yves Reginster
The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) sought to revisit the 2014 algorithm recommendations for knee osteoarthritis (OA), in light of recent efficacy and safety evidence, in order to develop an updated stepwise algorithm that provides practical guidance for the prescribing physician that is applicable in Europe and internationally. Using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) process, a summary of evidence document for each intervention in OA was provided to all members of an ESCEO working group, who were required to evaluate and vote on the strength of recommendation for each intervention. Based on the evidence collected, and on the strength of recommendations afforded by consensus of the working group, the final algorithm was constructed. An algorithm for management of knee OA comprising a stepwise approach and incorporating consensus on 15 treatment recommendations was prepared by the ESCEO working group. Both "strong" and "weak" recommendations were afforded to different interventions. The algorithm highlights the continued importance of non-pharmacological interventions throughout the management of OA. Benefits and limitations of different pharmacological treatments are explored in this article, with particular emphasis on safety issues highlighted by recent literature analyses. The updated ESCEO stepwise algorithm, developed by consensus from clinical experts in OA and informed by available evidence for the benefits and harms of various treatments, provides practical, current guidance that will enable clinicians to deliver patient-centric care in OA practice.

1 April 2008 in Best Practice & Research Clinical Rheumatology
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Journal Article
Closed access
JMJohanne Martel-Pelletier
Johanne Martel-Pelletier
CBChristelle Boileau
Christelle Boileau
JPJean-Pierre Pelletier
Jean-Pierre Pelletier
PRPeter J. Roughley
Peter J. Roughley

1 December 2014 in Seminars in Arthritis and Rheumatism
Verified
Journal Article
Open access
Olivier BruyèreOlivier Bruyère
Olivier Bruyère
CCCyrus Cooper
Cyrus Cooper
JPJean-Pierre Pelletier
Jean-Pierre Pelletier
Jaime BrancoJaime Branco
Jaime Branco
Maria Luisa BrandiMaria Luisa Brandi
Maria Luisa Brandi
JRJean-Yves Reginster
Jean-Yves Reginster
Existing practice guidelines for osteoarthritis (OA) analyze the evidence behind each proposed treatment but do not prioritize the interventions in a given sequence. The objective was to develop a treatment algorithm recommendation that is easier to interpret for the prescribing physician based on the available evidence and that is applicable in Europe and internationally. The knee was used as the model OA joint. ESCEO assembled a task force of 13 international experts (rheumatologists, clinical epidemiologists, and clinical scientists). Existing guidelines were reviewed; all interventions listed and recent evidence were retrieved using established databases. A first schematic flow chart with treatment prioritization was discussed in a 1-day meeting and shaped to the treatment algorithm. Fine-tuning occurred by electronic communication and three consultation rounds until consensus. Basic principles consist of the need for a combined pharmacological and non-pharmacological treatment with a core set of initial measures, including information access/education, weight loss if overweight, and an appropriate exercise program. Four multimodal steps are then established. Step 1 consists of background therapy, either non-pharmacological (referral to a physical therapist for re-alignment treatment if needed and sequential introduction of further physical interventions initially and at any time thereafter) or pharmacological. The latter consists of chronic Symptomatic Slow-Acting Drugs for OA (e.g., prescription glucosamine sulfate and/or chondroitin sulfate) with paracetamol at-need; topical NSAIDs are added in the still symptomatic patient. Step 2 consists of the advanced pharmacological management in the persistent symptomatic patient and is centered on the use of oral COX-2 selective or non-selective NSAIDs, chosen based on concomitant risk factors, with intra-articular corticosteroids or hyaluronate for further symptom relief if insufficient. In Step 3, the last pharmacological attempts before surgery are represented by weak opioids and other central analgesics. Finally, Step 4 consists of end-stage disease management and surgery, with classical opioids as a difficult-to-manage alternative when surgery is contraindicated. The proposed treatment algorithm may represent a new framework for the development of future guidelines for the management of OA, more easily accessible to physicians.

1 July 2015 in Annals of the Rheumatic Diseases
Verified
Journal Article
Closed access
PDF file
YZYue Zhang
Yue Zhang
FVFaezeh Vasheghani
Faezeh Vasheghani
YLYing-Hua Li
Ying-Hua Li
MBMeryem Blati
Meryem Blati
KSKayla Simeone
Kayla Simeone
MKMohit Kapoor
Mohit Kapoor
Objectives Mammalian target of rapamycin (mTOR) (a serine/threonine protein kinase) is a major repressor of autophagy, a cell survival mechanism. The specific in vivo mechanism of mTOR signalling in OA pathophysiology is not fully characterised. We determined the expression of mTOR and known autophagy genes in human OA cartilage as well as mouse and dog models of experimental OA. We created cartilage-specific mTOR knockout (KO) mice to determine the specific role of mTOR in OA pathophysiology and autophagy signalling in vivo. Methods Inducible cartilage-specific mTOR KO mice were generated and subjected to mouse model of OA. Human OA chondrocytes were treated with rapamycin and transfected with Unc-51–like kinase 1 (ULK1) siRNA to determine mTOR signalling. Results mTOR is overexpressed in human OA cartilage as well as mouse and dog experimental OA. Upregulation of mTOR expression co-relates with increased chondrocyte apoptosis and reduced expression of key autophagy genes during OA. Subsequently, we show for the first time that cartilage-specific ablation of mTOR results in increased autophagy signalling and a significant protection from destabilisation of medial meniscus (DMM)-induced OA associated with a significant reduction in the articular cartilage degradation, apoptosis and synovial fibrosis. Furthermore, we show that regulation of ULK1/adenosine monophosphate-activated protein kinase (AMPK) signalling pathway by mTOR may in part be responsible for regulating autophagy signalling and the balance between catabolic and anabolic factors in the articular cartilage. Conclusions This study provides a direct evidence of the role of mTOR and its downstream modulation of autophagy in articular cartilage homeostasis.