Effect of Raltegravir on Endothelial Function in HIV-Infected Patients
NCT00843713
Blood-Borne Infections, Cardiovascular Disease
San Francisco, California, United States
View Trial DetailsNCT Number: NCT03994835
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
1. Collection of metadata using questionnaires and patient medical records 2. Asses co-pathology (CVD and NAFLD) 3. Blood will be drawn for genetic, epigenetic, proteomic, metabolomic, microbiome, immunological, and virological analyses
After 2 years follow-up
1. Collection of metadata using questionnaires and patient medical records 2. Asses co-pathology (CVD and NAFLD) 3. Blood samples will be collected for biomarker and infection/inflammation parameter analysis
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Notify Me18 year and older
All sexes
Observational
Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands
Study population A cohort with a total of 2000 HIV patients will be built, consisting of a discovery cohort (n=1200) and confirmation cohort (n=800). The investigators estimate a 2-year inclusion and 2-year follow-up period and will strive for the inclusion of several clinical phenotypes such as long-term non-progressors (~2-3%), immunologic non-responders (~3%), and rapid progressors (~4-5%) and classical risk group patients such as men who have sex with men (MSM), females, and subjects from Sub-Sahara Africa. Patients will be recruited from the following Dutch HIV Treatment Centers: Radboudumc (Nijmegen), Erasmus MC (Rotterdam), OLVG (Amsterdam), Elisabeth Twee-Steden Ziekenhuis (Tilburg).
A sample size calculation cannot be provided due to the variable frequencies of the various traits in genome-microbiome interaction, and their effect on cytokine production. Because of the explorative nature of this study, the size calculation will be variable depending on the type of polymorphism analyzed. The frequencies of the various microorganism classes in the colonizing microbiome is not known in our study population, and therefore power calculations are impossible to be performed.
Earlier studies in the Human Functional Genomics Project have assessed microbiome traits in 250-500 individuals. An earlier HFGP study included a uniform cohort of 200 HIV-infected individuals (all MSM). The present study will also include HIV-infected patients with a more extreme phenotype, females and subjects originating from Sub-Sahara Africa. Because of this, the investigators decided to increase the number of individuals tested to 2000, consisting of a discovery cohort of 1200 subjects, and a confirmation cohort of 800 participants.
Study visits and procedures At inclusion
After 2 years follow-up
Patient informed consent procedure Patients will always be approached first by a treating physician or specialized nurse. They will be provided with information and will be asked if a physician-researcher may contact the patient. If there is oral consent for this, the researcher contacts the patient in one week to ask if they are interested in participating in the study. the physician-researcher will answer any questions the patient may have and plan the first visit. The informed consent procedure will be conducted during the patient's first visit.
Patient registry procedures All patient data will be recorded only in coded form in a secure database with audit and edit trail (CASTOR EDC). During the informed consent procedure, the patient is given a study code. The identifying patient data and study code is kept in a password-protected key file, only accessible to the local research team. No patient-identifying data will leave the local medical center.
In the questionnaires and eCRFs in CASTOR, the investigators will enter as many data checks as possible
Biomaterials All biomaterial (blood, stool, urine, saliva) will be transported to and processed in the laboratory of Experimental Internal Medicine of the Radboudumc in Nijmegen. Here, all the biomaterial will also be stored collectively. All materials will be handled and stored only under the patient's study code.
Monitoring Monitoring will be performed by an independent monitor according to the latest guidelines of the The Netherlands Federation of University Medical Centers. An initiation and close-out visit will be planned in plenary form with all the centers in Radboudumc. There will be one extra visit per center. During these visits informed consents will be checked, as well as inclusion and exclusion criteria and source data verification in a small subset of total participants.
Data collection for patient registry
Baseline data collected from electronic patient files or the HIV Monitoring Foundation during inclusion visit:
Medical history:
Physical examination
Cardiovascular risk profile:
Laboratory results of date closest to inclusion date (standard care at least once a year according to Dutch guidelines):
Baseline data collected from electronic patient files or the HIV Monitoring Foundation during 2-year follow-up visit:
Medical history last 2 years:
Physical examination
Cardiovascular risk profile:
Laboratory results of date closest to follow-up visit date:
o If positive, HCV PCR
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Change: 2-year value - baseline value
Change in liver fibrosis measurement by FibroScan (method by Echosens)
Time frame: Change: 2-year value - baseline value
Change in liver steatosis measurement by FibroScan (method by Echosens) and liver ultrasound (method developed by Radboudumc)
Time frame: Change: 2-year value - baseline value
Framingham score
Time frame: Change: 2-year value - baseline value
D:A:D score
Time frame: Number of events over 2 years between baseline and 2-year time point
Recoring of cadiovascular diseases from patient file:
Time frame: At baseline only
Genome-wide genotype data including >8 million SNPs per individual
Time frame: At baseline only
Colonizing microbiome profile will be generated from stool and saliva samples
Time frame: At baseline only
RNA-sequencing will be performed in PBMCs
Time frame: At baseline only
Metabolomics analysis by multiplex immunoassays will be performed in plasma or serum
Time frame: At baseline only
Ex vivo cytokine responses of isolated PBMCs to a range of stimuli (TLR ligands, killed pathogens and viral antigen stimuli)
Time frame: At baseline only
Extensive phenotyping of circulating immune cells by flow cytometry analysis
Time frame: ECG paramater changes between baseline and 2-year time visit
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
Time frame: At baseline only
Ultrasound measurement of intima-media thickness in the carotid artery as a measure for atherosclerosis and cardiovasculr disease risk.
Radboud University Medical Center
Other
Acronym: 2000HIV
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