NCT03994835

Brief Summary

Background Chronic HIV infection leads to a dysregulated immune system, even when full viral suppression is achieved. HIV causes persistent immune activation, relating to an array of common non-AIDS-related diseases such as cardiovascular disease (CVD) and non-alcoholic fatty liver disease (NAFLD). On the other hand, accelerated ageing of the immune system hinders effective immunity against infectious diseases and cancer. Likewise, this derailed inflammatory balance creates a niche for persistent viral replication and reservoir, and prevents cure or functional cure. Mechanisms behind this phenomenon are poorly understood. Inclusion of a larger cohort of HIV-infected patients allows for a more precise assessment of the factors underlying the immune dysregulation. Primary Objectives

  • Identify a set of candidate biomarkers that correlate with particular non-AIDS-related comorbidities
  • Unravel biological processes associated with extreme HIV clinical phenotypes.
  • Find therapeutic targets to identify novel assets or for repurposing of clinical phase assets from other disease areas for HIV. Secondary Objectives
  • Evaluate potential relationship of host/immune profiles on efficacy, safety, and tolerability of standard care regimens.
  • Evaluate the contribution of age, sex, and genetics in host-immune profiles that are:
  • distinct to HIV infection relative to controls in other cohorts;
  • associated with non-AIDS-related comorbidities in HIV infection relative to non-HIV chronic disease. Study design 2000 HIV patients will be included in the cohort. The investigators estimate a 2-year inclusion and 2-year follow-up period and will strive for the inclusion of several clinical phenotypes and classical risk group patients. Patients will be recruited from four Dutch HIV treatment centers. At inclusion
  • Collection of metadata using questionnaires and patient medical records
  • Asses co-pathology (CVD and NAFLD)
  • Blood will be drawn for genetic, epigenetic, proteomic, metabolomic, microbiome, immunological, and virological analyses
  • Collection of metadata using questionnaires and patient medical records
  • Asses co-pathology (CVD and NAFLD)
  • Blood samples will be collected for biomarker and infection/inflammation parameter analysis

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,910

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2019

Typical duration for all trials

Geographic Reach
1 country

4 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 22, 2019

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 21, 2019

Completed
4 months until next milestone

Study Start

First participant enrolled

October 16, 2019

Completed
3.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 27, 2023

Completed
1 day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 28, 2023

Completed
Last Updated

December 8, 2023

Status Verified

November 1, 2023

Enrollment Period

3.8 years

First QC Date

May 22, 2019

Last Update Submit

December 7, 2023

Conditions

Keywords

HIVNon-alcoholic fatty liver diseaseCardiovascular diseaseOmics dataInflammation

Outcome Measures

Primary Outcomes (13)

  • Change in liver fibrosis

    Change in liver fibrosis measurement by FibroScan (method by Echosens)

    Change: 2-year value - baseline value

  • Change in liver steatosis

    Change in liver steatosis measurement by FibroScan (method by Echosens) and liver ultrasound (method developed by Radboudumc)

    Change: 2-year value - baseline value

  • Change in cardiovascular risk score (Framingham score)

    Framingham score

    Change: 2-year value - baseline value

  • Change in cardiovascular risk score (D:A:D score)

    D:A:D score

    Change: 2-year value - baseline value

  • Number and type of cardiovascular events

    Recoring of cadiovascular diseases from patient file: * Stroke/ TIA * Angina pectoris * Myocardial infarction * Claudicatio intermittens * Venous thrombo-embolism * Other …

    Number of events over 2 years between baseline and 2-year time point

  • Genetic data

    Genome-wide genotype data including \>8 million SNPs per individual

    At baseline only

  • Colonizing microbiome profile

    Colonizing microbiome profile will be generated from stool and saliva samples

    At baseline only

  • Transcriptomics

    RNA-sequencing will be performed in PBMCs

    At baseline only

  • Quantification of a wide range of metabolites

    Metabolomics analysis by multiplex immunoassays will be performed in plasma or serum

    At baseline only

  • Cytokine production of PBMCs in ex vivo stimulation experiments

    Ex vivo cytokine responses of isolated PBMCs to a range of stimuli (TLR ligands, killed pathogens and viral antigen stimuli)

    At baseline only

  • Immune phenotyping

    Extensive phenotyping of circulating immune cells by flow cytometry analysis

    At baseline only

  • Change in ECG

    Standardized signs of myocardial infarction with MEANS ECG software, as extensively described elsewehere. In addition, we will look at the full list of ECG output measurements as described elsewhere\*: in brief, MEANS reliably provides output on interpretation of the ECG rhythm and morphology. The morphological interpretation consists of separate analyses of the P wave, QRS complex, and ST-T segment. Reference: Van den Berg ME, Rijnbeek PR, Niemeijer MN, et al. Normal values of corrected heart-rate variability in 10-second electrocardiograms for all ages. Front Physiol. 2018;9:424

    ECG paramater changes between baseline and 2-year time visit

  • Intima-media thickness

    Ultrasound measurement of intima-media thickness in the carotid artery as a measure for atherosclerosis and cardiovasculr disease risk.

    At baseline only

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

HIV-infected patients (n=2000) will be recruited from the following Dutch HIV Treatment Centres: Radboudumc (Nijmegen), ErasmusMC (Rotterdam), Onze Lieve Vrouwe Gasthuis (Amsterdam), Elisabeth-TweeSteden Ziekenhuis (Tilburg). Our aim is to include approximately 20% females, 20% of Sub-Sahara African origin, elite controllers (\~2-3%), immunologic non-responders (\~3%), and rapid progressors (\~4-5%) The total number of adult HIV patients under care in these treatment centers is 7000, of which 80% is male and 70% is of Caucasian origin. There is wide age distribution among the adult HIV population.

You may qualify if:

  • HIV-infected,
  • aged ≥18 years,
  • on cART ≥6 months with an HIV-RNA load \<200 copies/mL, \*Apart from the above-mentioned subjects, elite controllers that are not on cART, are also eligible.

You may not qualify if:

  • No informed consent
  • Insufficient communication because of language or other problems
  • Active hepatitis B/C or signs of acute infections
  • Pregnancy

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (4)

Onze Lieve Vrouwe Gasthuis

Amsterdam, 1091AC, Netherlands

Location

Radboudumc

Nijmegen, 6525GA, Netherlands

Location

Erasmus MC

Rotterdam, 3015GD, Netherlands

Location

Elisabeth Twee-Steden ziekenhuis

Tilburg, 5042AD, Netherlands

Location

Related Publications (3)

  • Blaauw MJT, Navas A, Vasquez VR, Vadaq N, Berrevoets MAH, Otten T, Vos WAJW, van Eekeren LE, Groenendijk AL, Weijers G, Lutgens E, Koenen HJPM, de Jonge MI, Netea MG, Rutten JHW, van der Ven AJAM, Riksen NP. Functional and transcriptional senescence profiles of CD8+ T cells associate with the presence of carotid plaques in people living with HIV. J Infect Dis. 2026 Jan 7:jiag018. doi: 10.1093/infdis/jiag018. Online ahead of print.

  • Blaauw MJT, Berrevoets MAH, Vos WAJW, Groenendijk AL, van Eekeren LE, Vadaq N, Weijers G, van der Ven AJAM, Rutten JHW, Riksen NP. Traditional Cardiovascular Risk Factors Are Stronger Related to Carotid Intima-Media Thickness Than to Presence of Carotid Plaques in People Living With HIV. J Am Heart Assoc. 2023 Oct 17;12(20):e030606. doi: 10.1161/JAHA.123.030606. Epub 2023 Oct 7.

  • Vadaq N, Zhang Y, Vos WA, Groenendijk AL, Blaauw MJ, van Eekeren LE, Jacobs-Cleophas M, van de Wijer L, Dos Santos JC, Gasem MH, Joosten LA, Netea MG, de Mast Q, Fu J, van der Ven AJ, Matzaraki V. High-throughput proteomic analysis reveals systemic dysregulation in virally suppressed people living with HIV. JCI Insight. 2023 Jun 8;8(11):e166166. doi: 10.1172/jci.insight.166166.

Biospecimen

Retention: SAMPLES WITH DNA

Blood for DNA isolation (no sequencing, only SNP array) Stool for microbiome analysis Saliva for microbiome analysis Plasma and serum for metabolomics Urine for creatinine analysis

MeSH Terms

Conditions

HIV InfectionsNon-alcoholic Fatty Liver DiseaseCardiovascular DiseasesInflammation

Condition Hierarchy (Ancestors)

Blood-Borne InfectionsCommunicable DiseasesInfectionsSexually Transmitted Diseases, ViralSexually Transmitted DiseasesLentivirus InfectionsRetroviridae InfectionsRNA Virus InfectionsVirus DiseasesGenital DiseasesUrogenital DiseasesImmunologic Deficiency SyndromesImmune System DiseasesFatty LiverLiver DiseasesDigestive System DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Quirijn de Mast, Dr.

    Radboud University Medical Center

    PRINCIPAL INVESTIGATOR
  • Annelies Verbon, Prof.

    Erasmus Medical Center

    PRINCIPAL INVESTIGATOR
  • Willem Blok, Dr.

    Onze Lieve Vrouwe Gasthuis

    PRINCIPAL INVESTIGATOR
  • Marvin Berrevoets, Drs.

    Elisabeth Twee-Steden ziekenhuis

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
2 Years
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 22, 2019

First Posted

June 21, 2019

Study Start

October 16, 2019

Primary Completion

July 27, 2023

Study Completion

July 28, 2023

Last Updated

December 8, 2023

Record last verified: 2023-11

Locations