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"Translating Articular Biomarkers Into Diagnoses"

RECRUITINGSponsored by Assistance Publique - Hôpitaux de Paris
Actively Recruiting
SponsorAssistance Publique - Hôpitaux de Paris
Started2026-06-02
Est. completion2029-06
Eligibility
Age18 Years+
Healthy vol.Accepted

Summary

Early diagnosis is a key factor in the prevention and management of rheumatic diseases. Rheumatic diseases are classically diagnosed based on criteria combining clinical, biological and radiological features. However, in up to 20% of the cases, diagnoses remain unstated and underlying rheumatic diseases unclassified, which might lead to delayed specific treatment and unfavourable clinical outcomes. In addition, conventional methods could lack sensitivity and specificity for early diagnosis. Biological samples are attractive targets for the early detection of articular damage because they allow for collection of multiple levels of information from the clinic and the laboratory\]. Biological samples most frequently collected from patients with rheumatic diseases are synovial fluid by joint aspiration, blood by venous puncture and tissue specimen by surgery. The investigators hypothesize that in challenging situations, novel biomarkers detected from synovial fluid or articular tissues using both conventional (e.g. histology, immunodetection, PCR) and innovative (e.g. Raman spectroscopy, nanospectroscopy) laboratory tests may help refining diagnosis and better classifying patients with rheumatic diseases.

Eligibility

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

* Age ≥ 18 years
* Inflammatory and non-inflammatory bone and joint diseases requiring synovial fluid aspiration and/or joint replacement
* Collection of non-opposition
* Affiliated to or beneficiary of social security

Exclusion Criteria:

* Inability to speak and/or read French
* Neoadjuvant therapy
* Patients under tutor or curatorship
* Protected adults,
* Patients benefiting of State Medical Aid

Conditions2

ArthritisInflammatory and Non-inflammatory Bone and Joint Diseases

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