D-SOLVE Cohorts (Cohort A and B)

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorHannover Medical School

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Anti-HDV positive

≥18 years old

Sex: m/f/d

Informed consent for prospective procedures

Disqualifiers

Anti-HDV negative

Trial population

All adult patients chronically infected with the hepatitis D virus (anti-HDV positive) can be included. For cohort B historical liver biopsies need to be available.

Trial design

Design model

Cohort

Time perspective

Other

Treatments tested in this trial

Not listed

Trial groups

750 Participants
are grouped into 2 trial groups
Group A: Cohort A
Group B: Cohort B

Trial outcomes

Primary outcomes

1

Biosample Screening

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

Time frame
3 years

Secondary outcomes

1

Definition of the demographic, clinical and virological features of the cohort.

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

Time frame
3 years
2

Identification of virological and immunological features and characteristics that relate to disease severity and treatment response.

Establishment of a computational model to predict immune responses and disease phenotype

Time frame
3 years

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Hannover Medical School

Lead sponsor

Karolinska University Hospital

Collaborator

Karolinska Institutet

Collaborator

Helmholtz Centre for Infection Research

Collaborator

Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico

Collaborator

National Institute of Infectious Diseases Matei Bals

Collaborator