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NCT03634098: Quid-Nash
Identification and Validation of Noninvasive Biomarkers of the Diagnosis and Severity of NASH in Type 2 Diabetics
NA trial testing new quantitative imaging techniques with contast products in Type2 Diabetes in 970 participants. Completed in 30 September 2022.
31 July 2022
Quick facts
| Lead sponsor | Assistance Publique - Hôpitaux de Paris |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | diagnostic |
| Enrollment | 970 |
| Start date | 25 October 2018 |
| Primary completion | 31 July 2022 |
| Estimated completion | 30 September 2022 |
| Sites | 1 location across France |
Drugs / interventions tested
- new quantitative imaging techniques with contast products
- blood sample — full drug profile →
- second generation tests
Conditions studied
- Type2 Diabetes — all drugs for Type2 Diabetes →
Sponsor
Assistance Publique - Hôpitaux de Paris — full company profile →
Who can join
18 and older, any sex, with Type2 Diabetes. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Metabolic diseases of the liver are silent affections whose morbidity is important. About 70% of patients with type 2 diabetes (T2D) are concerned. Of these, 50% develop clinically significant lesions (including non-alcoholic steatohepatitis or NASH) as they are associated with an increased risk of complications; and 15% progress to severe fibrosis or cirrhosis. These diseases are slowly progressive and asymptomatic. Their pathophysiology is poorly known. Management is hampered by the absence of a specific diagnostic marker, the need for invasive diagnostic procedures (liver biopsy), and the lack of established treatment. QUID-NASH aims to develop a virtual liver biopsy in T2D participants, based on the identification of single or combined, multimodal, non-invasive biomarkers obtained by new quantitative imaging techniques (magnetic resonance and ultrafast ultrasound UFUS); and /or extensive clinical-biological phenotyping data; and/or data obtained by different omic approaches (metabolomics, targeted genetics, transcriptomics). Extracellular vesicle and immune cell profiling will complement these phenotyping data. This approach will also enable us to improve our understanding of pathophysiology (new signaling pathways, new therapeutic targets).
Publications & conference data
8 peer-reviewed publications reference this trial (live from Europe PMC):
-
Therapeutic Potentials of Extracellular Vesicles for the Treatment of Diabetes and Diabetic Complications.
Hu W, Song X, Yu H, Sun J, et al · · 2020 · cited 37× · PMID 32708290 · DOI 10.3390/ijms21145163 -
Prospective head-to-head comparison of non-invasive scores for diagnosis of fibrotic MASH in patients with type 2 diabetes.
Castera L, Garteiser P, Laouenan C, Vidal-Trécan T, et al · · 2024 · cited 33× · PMID 38548067 · DOI 10.1016/j.jhep.2024.03.023 -
A new NRF2 activator for the treatment of human metabolic dysfunction-associated fatty liver disease.
Hammoutene A, Laouirem S, Albuquerque M, Colnot N, et al · · 2023 · cited 24× · PMID 37663119 · DOI 10.1016/j.jhepr.2023.100845 -
Clinical Interest of Serum Alpha-2 Macroglobulin, Apolipoprotein A1, and Haptoglobin in Patients with Non-Alcoholic Fatty Liver Disease, with and without Type 2 Diabetes, before or during COVID-19.
Deckmyn O, Poynard T, Bedossa P, Paradis V, et al · · 2022 · cited 12× · PMID 35327501 · DOI 10.3390/biomedicines10030699 -
Prospective external validation of a new non-invasive test for the diagnosis of non-alcoholic steatohepatitis in patients with type 2 diabetes.
Poynard T, Paradis V, Mullaert J, Deckmyn O, et al · · 2021 · cited 12× · PMID 34398492 · DOI 10.1111/apt.16543 -
ACBP/DBI neutralization for the experimental treatment of fatty liver disease.
Motiño O, Lambertucci F, Joseph A, Durand S, et al · · 2025 · cited 10× · PMID 39550516 · DOI 10.1038/s41418-024-01410-6 -
Prospective direct comparison of non-invasive liver tests in outpatients with type 2 diabetes using intention-to-diagnose analysis.
Poynard T, Deckmyn O, Peta V, Paradis V, et al · · 2023 · cited 9× · PMID 37642160 · DOI 10.1111/apt.17688 -
Fat-Corrected Non-Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction-Associated Steatotic Liver Disease.
Saïd O, Doblas S, Paradis V, Bedossa P, et al · · 2026 · cited 1× · PMID 41133428 · DOI 10.1002/jmri.70148
Verify or expand the search:
- PubMed search for NCT03634098
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03634098 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Assistance Publique - Hôpitaux de Paris
- Last refreshed: 8 December 2022
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