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RecruitingNCT06312943ARTBioSesUpdated Jun 24, 2026

"Translating Articular Biomarkers Into Diagnoses"

An observational study in Inflammatory and Non-inflammatory Bone and Joint Diseases, sponsored by Assistance Publique - Hôpitaux de Paris. Recruiting at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-24.

Sponsored by Assistance Publique - Hôpitaux de Paris · Observational

From the registry’s dates

  • Started Jun 2026; still recruiting 5 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
50
Ages
18 Years and older
Sex
All
01

Study 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.

Read the detailed description

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, blood 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.

Synovial fluid is primarily composed of water, proteins, proteoglycans, glycosaminoglycans, lipids, small inorganic salts, and metabolites such as amino acids or sugars. Individual synovial fluid components may often perform multiple functions. For example, hyaluronic acid maintains the complex viscoelastic properties of synovial fluids and regulates the biological activity of advanced glycation end-products, cytokines, and enzymes associated with osteoarthritis. Normal joint function is dependent on the status of synovial fluid composition, especially considering the large interaction between the individual components. Although conventional laboratory tests have been used by rheumatologists for the past 50 years, they provide limited quantitative data and cannot specifically describe the biochemical and chemical changes, such as alterations in protein composition and proteomic profile undergone by synovial fluids in arthritic joints. Measurements that reflect the entire synovial fluid chemical, biological or viscoelastic profile could be interesting additional tools. An example of innovative measurement technique is Raman spectroscopy that can be used to detect changes in synovial fluid from patients with rheumatic diseases. Raman band intensity ratios vary significantly in spectra collected from synovial fluid in patients with radiological evidence of osteoarthritis damage. Changes to the protein secondary structure could be used as general marker of chemical changes in synovial fluid and that these changes can be associated with radiographic scoring of knee damage. Other publications focused on the Raman analysis of crystals extracted from synovial fluids. Our group developped Surface Enhanced Raman Spectroscopy (SERS) using nanoparticles that might be more sensitive than conventional Raman spectroscopy in characterizing biofluids especially the entire synovial fluid and deciphering specific rheumatic disease spectral signatures.

Blood biomarkers have long been used for the diagnosis and follow-up of rheumatic diseases. They are mainly markers of auto-immunity, inflammation, cartilage degradation or bone remodelling.

Articular tissues include articular cartilage, bone, meniscus, synovial membrane, fat, tendons, ligaments, muscles. They are obtained during surgery. Their analysis is precious to characterize auto-immunity, inflammation, cartilage degradation or bone remodelling local status and to study local activation of cellular and molecular pathways of interest using conventional techniques of cellular and molecular biology.

02

Conditions studied

  • Inflammatory and Non-inflammatory Bone and Joint Diseases

Keywords

  • Osteoarthritis
  • Rheumatoid arthritis
  • Inflammatory joint disorders
  • RAMAN spectroscopy
  • Biomarkers
03

In context

Joint Diseases

386 studies on the registry are indexed under Joint Diseases; 64 are open to participants now.

This study's planned enrollment of 50 is below the median of 86 across 116 observational studies indexed under Joint Diseases.

Browse Joint Diseases studies →

Lead sponsor

Assistance Publique - Hôpitaux de Paris is the lead sponsor of 3,592 studies on the registry; 1,033 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

¨Patients with various bone and joint diseases

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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

Exclusion Criteria:

  • Inability to speak and/or read French
  • therapy
  • Patients under tutor or curatorship
  • Protected adults,
  • Patients benefiting of State Medical Aid
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Adjuvant and neoadjuvant

Neoadjuvant treatment is given before the main treatment (usually surgery), often to shrink a tumour. Adjuvant treatment is given after it, to lower the chance of the cancer coming back.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
50 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • Patients with various bone and joint diseases

    Patients with various bone and joint diseases

    Other: Collection of joint fluid or tissue sample

Interventions

  • OtherCollection of joint fluid or tissue sample

    During a puncture or joint surgery planned as part of the routine care of the patient, a part of the joint fluid or tissue sample will be collected in order to carry out the analyzes planned for the research.

06

What researchers measure

Primary outcomes

  1. Tissues and biofluid spectra using surface-enhanced Raman spectroscopy

    Molecular signature of articular samples

    Time frame: Inclusion

  2. Protein expression using immunodetection techniques and RNA expression using PCR

    Cellular signature of articular samples

    Time frame: Inclusion

Secondary outcomes

  1. Tissues and biofluid spectra using surface-enhanced Raman spectroscopy

    Time frame: Inclusion

  2. Protein expression using immunodetection techniques and RNA expression using PCR

    Time frame: Inclusion

07

Study locations

1 of 1 sites recruiting
  • Service de Médecine Physique et de Réadaptation, Hôpital Cochin
    Paris, IDF 75014, France
    Recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Jun 2026 (actual). Primary completion is estimated for Jun 2029, 36 months after the start.

Of 58 observational studies under Joint Diseases, half reached primary completion within 62 months of starting (the median), counting those still running; a quarter within 28 and three quarters within 153. This study's planned 36 months is below that.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 8, 2024
First posted
Mar 15, 2024
StartActual
Jun 2, 2026
Primary completionEst.
Jun 2029
CompletionEst.
Aug 2029
Last update
Jun 24, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 24, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06312943
Collaborators
Institut National de la Santé Et de la Recherche Médicale, France, URC-CIC Paris Descartes Necker Cochin
Responsible party
Sponsor
First posted
Mar 15, 2024
Start date
Jun 2, 2026
Primary completion
Jun 2029 (estimated)
Completion
Aug 2029 (estimated)
Last update
Jun 24, 2026

Study contacts

Christelle Nguyen, MD, PhD
Contact
christelle.nguyen2@aphp.fr
00 33 1 58 41 29 45
Marie Benhammani-Godard
Contact
marie.godard@aphp.fr
00 33 1 58 41 11 90
Christelle Nguyen, MD, PhD
principal investigator · Service de Médecine Physique et de Réadaptation, Hôpital Cochin

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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