- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06160635
D-SOLVE Cohorts (Cohort A and B) (HDV750)
Hepatitis D is by far the most severe form of chronic viral hepatitis, frequently leading to liver failure, hepatocellular carcinoma and death. Hepatitis D is caused by coinfection Hepatitis D is caused by co-infection with hepatitis B virus (HBV) and hepatitis D virus (HDV).
This multicenter cohort should enable a comprehensive and unbiased biomarker screening of well-defined HDV-infected patients, followed by mechanistic studies to determine the functional role of distinct molecules. Patient surveillance strategies and antiviral treatment approaches could be personalized which should reduce clinical and social disease burden, improve quality of life and save direct and indirect costs caused by HDV infection.
Study Overview
Status
Conditions
Detailed Description
The D-SOLVE consortium ("Understanding the individual host response against Hepatitis D Virus to develop a personalized approach for the management of hepatitis D"), aims for an unbiased screening of a large multicenter cohort of well-defined HDV-infected patients to better understand individual factors determining the outcome of infection and to identify subjects benefitting from currently available treatments.
The D-SOLVE cohorts will be collected retrospectively as well as prospectively with clinical and virological data and biomaterial for the biomarker analysis. The aim of the cohorts is as following:
Cohort A: To define the demographic, clinical, virological, and immunological features of a large cross-sectional cohort of 750 untreated and treated HDV patients at 4 EU centers. To compare these features among patients with different origin, gender, disease severity and treatment. To collect biological material to generate translational studies, aimed to better understand pathogenesis, natural history and treatment response.
Cohort B: To identify histological and immunological features that are associated with fibrosis progression and clinical complications in patients with chronic HDV infection.
The D-SOLVE consortium has received funding from the Horizon 2020 EU Horizon Call "Personalised medicine and infectious diseases: understanding the individual host response to viruses (e.g. SARS-CoV-2)" of the European Union (grant agreement No 101057917). The consortium is coordinated by Hannover Medical School (MHH) and the Centre for Individualised Infection Medicine (CiiM). Other partners are:
- Helmholtz-Zentrum für Infektionsforschung (HZI), Germany
- Institut national de la santé et de la recherche médicale (INSERM)
- Karolinska Institutet (KI), Sweden
- Karolinska University Hospital / Region Stockholm (KUH), Sweden
- Policlinico of Milan (PFM), Italy
- National Institute for Infectious Diseases "Prof Dr Matei Balș" (INBIMB), Romania
- Helmholtz-Zentrum für Informationssicherheit (CISPA), Germany
The Cohorts and the biomarker screening are part of the EU-funded D-SOLVE Consortium.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Petra Dörge
- Phone Number: +495115326057
- Email: doerge.petra@mh-hannover.de
Study Contact Backup
- Name: Julia Kahlhöfer
- Email: kahlhoefer.julia@mh-hannover.de
Study Locations
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Hannover, Germany, 30625
- Recruiting
- Hannover Medical School, Department of Gastroenterology, Hepatology, Infectious Disease and Endocrinology
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Contact:
- Heiner Wedemeyer
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Milan, Italy
- Not yet recruiting
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (University of Milan)
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Contact:
- Pietro Lampertico
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Bucharest, Romania, 021105
- Recruiting
- Institutul de Boli Infectioase "Prof. Dr. Matei Bals"
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Contact:
- Florin Alexandru Caruntu, Dr.
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Stockholm, Sweden
- Recruiting
- Karolinska University Hospital and Karolinska Institutet
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Contact:
- Soo Aleman
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Anti-HDV positive
- ≥18 years old
- Sex: m/f/d
- Informed consent for prospective procedures
Exclusion Criteria:
- Anti-HDV negative
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Cohort A
Cohort A: Patients chronically infected with HDV.
Patients with and without cirrhosis and with and without viremia will be included.
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Cohort B
Cohort B: Patients chronically infected with HDV and with available historical liver biopsies (5-20 years old biopsies) and clinical follow-up data or current patients willing to receive a core biopsy or fine-needle liver-cell aspirate (FNA).
Patients with and without cirrhosis and with and without viremia will be included.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Biosample Screening
Time Frame: 3 years
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Identification of biomarkers that are associated with disease control, progression and treatment response by a multiomics approach that includes the investigation of: - the genome by the Illumina Infinium Global Screening array - the transcriptome by RNA-sequencing and single-cell RNA-sequencing (subset of samples) - the proteome by the Olink technology (high throughput proximity extension assay) - the metabolome by HPLC 1H-NMR (~2k metabolite features) - the methylome (Illumina 850k array) - immune phenotypes by high dimensional spectral flow cytometry - Spatial transcriptomics and multiplex imaging of HDV-patient liver biopsies
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3 years
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Definition of the demographic, clinical and virological features of the cohort.
Time Frame: 3 years
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Identification of immunological determinants of liver disease progression, viral control and treatment response by - scRNA/ATAC sequencing of Ag-specific T cells, NK cells and MAIT cells (PBMC) - spatial multiomics with feature barcoding technology of liver core biopsies - Validation of findings by 29-color flow cytometry, hepatoma HDV infection system and respective mouse models
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3 years
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Identification of virological and immunological features and characteristics that relate to disease severity and treatment response.
Time Frame: 3 years
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Establishment of a computational model to predict immune responses and disease phenotype
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3 years
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Markus Cornberg, Hannover Medical School
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HDV750
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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