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Immune Activation as a Cause of Insulin Resistance in Adults Living With HIV-1 on Effective Antiretroviral Therapy (MetACTIVIH)
| Condition or disease | Intervention/treatment |
|---|---|
| HIV Infections | Other: Signaling, metabolomic and transcriptomic analysis |
The working hypothesis of this study is that in efficiently treated HIV patients, various profiles of immune activation may be distinguished, each favouring particular comorbidities. Using a panel of 68 soluble and cell surface markers, the investigators have previously measured the level of activation in circulating Cluster of Differentiation 4+ (CD4+) and Cluster of Differentiation 8+ (CD8+), T cells, B cells, monocytes, Natural Killers (NK) cells, neutrophils, and endothelial cells as well as of inflammation and fibrinolysis in 120 virologic responders over 45 years of age. Two independent hierarchical clustering analyses allowed the investigators to identify five patient groups, each with the same activation profile. One of these profiles, Profile#2, was strongly associated with hyperinsulinemia (Psomas et al., 2016).
The main objective of the present study is to better define Profile#2. To this aim, the investigators will analyze by mass spectrometry the metabolites in the plasma of patients with various profiles including the one of interest. Concurrently, the investigators will perform an RiboNucleic Acid Sequencing (RNASeq) analysis on peripheral blood mononuclear cells (PBMC) from the same patients. These metabolomic and transcriptomic data will help to better define the immune activation profiles.
The secondary objective is to test whether the link the investigators have observed between Profile#2 and insulin resistance is causative. To this aim, by following over time patients' insulinemia, the investigators will test whether Profile#2 is predictive of an increase in insulinemia. The investigators will also look for factors released by PBMC of patients with Profile#2 able to induce insulin resistance.
| Study Type : | Observational |
| Estimated Enrollment : | 300 participants |
| Observational Model: | Cohort |
| Time Perspective: | Prospective |
| Official Title: | Immune Activation as a Cause of Insulin Resistance in Adults Living With HIV-1 on Effective Antiretroviral Therapy |
| Actual Study Start Date : | March 3, 2020 |
| Estimated Primary Completion Date : | March 2023 |
| Estimated Study Completion Date : | March 2023 |
| Group/Cohort | Intervention/treatment |
|---|---|
|
Non viremic HIV patients under treatment
Patients with various immune activation profiles
|
Other: Signaling, metabolomic and transcriptomic analysis
Signaling, metabolomic and transcriptomic analysis
|
- Metabolomic analysis on plasma and PBMC [ Time Frame: 18 months ]The investigators will analyze by mass spectrometry the metabolites present in the plasma of patients presenting with the profile of interest as compared with patients with other immune activation profiles. Metabolites will be extracted from the blood plasma using a salt assisted liquid-liquid extraction. The metabolites will then be allowed to crystallize on the metallic surface. Finally, the plate content will be analyzed by desorption electrospray ionisation mass spectrometry using positive and negative ionization.
- Transcriptomic analysis on plasma and PBMC [ Time Frame: 18 months ]The investigators will also analyze by RNASeq the messenger RNA (mRNA) produced by the PBMC of patients presenting with the profile of interest and compared them with the mRNA produced by the PBMC of patients with other immune activation profiles.
- Follow-up over time of insulinemia in patients with various immune activation profiles [ Time Frame: 18 months ]The investigators will compare over time the increase in insulinemia in patients presenting or not the immune activation profile of interest.
- Test whether PBMC from patients with Profile#2 induce insulin resistance [ Time Frame: 18 months ]The investigators will analyze whether PBMC from patients with the immune activation profile of interest release factors able to inhibit insulin signaling in hepatocytes. Insulin signaling will be measured by quantifying Akt phosphorylation vie western blot.
Biospecimen Retention: Samples Without DNA
| Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
| Sexes Eligible for Study: | All |
| Accepts Healthy Volunteers: | No |
| Sampling Method: | Non-Probability Sample |
Inclusion criteria:
- Subject consulting or hospitalized in the tropical and infectious diseases unit at the University Hospital of Montpellier that have been enrolled in a study during which the immune activation profile was analyzed
- Subject aged at least 18 years
- Subject speaking french fluently
- Subject who is not opposed to participate to the study, after a clear information
- Subject affiliated to a social security system
- Infection by HIV-1 determined by a positive serology or by a measure of the plasma viral load (RNA HIV)
- HIV-1 patients under stable antiretroviral therapy
- HIV load < 50 copies/mL since at least 6 months before enrollment (2 measures)
Exclusion criteria:
- Vulnerable individuals
- Persons protected
- Pregnant women or breastfeeding mothers
- Bad understanding of the nature and goals of the study and/or communication difficulties with the investigator
- Subject enrolled in an other study with an exclusion period still running
- Non infectious pathology that might be the origin of an immune anomaly
- Treatment by an immune modulator molecule or by chemotherapy in the 60 days before enrollment in the study
| Contact: Pierre CORBEAU, MD, PhD | (0)434359932 ext +33 | pierre.corbeau@igh.cnrs.fr | |
| Contact: Jacques REYNES, MD, PhD | (0)467337220 ext +33 | j-reynes@chu-montpellier.fr |
| France | |
| Saint Eloi Hospital, University Hospital of Montpellier | Recruiting |
| Montpellier, Hérault, France, 34295 | |
| Contact: Pierre CORBEAU, MD, PhD | |
| Tracking Information | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| First Submitted Date | June 12, 2019 | ||||||||
| First Posted Date | July 23, 2019 | ||||||||
| Last Update Posted Date | February 12, 2021 | ||||||||
| Actual Study Start Date | March 3, 2020 | ||||||||
| Estimated Primary Completion Date | March 2023 (Final data collection date for primary outcome measure) | ||||||||
| Current Primary Outcome Measures |
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| Original Primary Outcome Measures |
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| Change History | |||||||||
| Current Secondary Outcome Measures |
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| Original Secondary Outcome Measures | Same as current | ||||||||
| Current Other Pre-specified Outcome Measures | Not Provided | ||||||||
| Original Other Pre-specified Outcome Measures | Not Provided | ||||||||
| Descriptive Information | |||||||||
| Brief Title | Immune Activation as a Cause of Insulin Resistance in Adults Living With HIV-1 on Effective Antiretroviral Therapy | ||||||||
| Official Title | Immune Activation as a Cause of Insulin Resistance in Adults Living With HIV-1 on Effective Antiretroviral Therapy | ||||||||
| Brief Summary | The aim of this study is to characterize in non-viremic HIV-1 patients under antiretroviral therapy an immune activation profile that the investigators have previously shown to be strongly linked to hyperinsulinemia. This characterization will be carried out via 3 different approaches. First, the investigators will analyze the metabolites present in the plasma of patients presenting with the profile of interest. Second, the investigators will study the transcriptome of the peripheral blood mononuclear cells of these patients. Finally, the investigators will search whether some factors released by these cells are able to induce insulin resistance. In addition the ability of the profile of interest to predict an increase in insulinemia over time will be assessed. | ||||||||
| Detailed Description |
The working hypothesis of this study is that in efficiently treated HIV patients, various profiles of immune activation may be distinguished, each favouring particular comorbidities. Using a panel of 68 soluble and cell surface markers, the investigators have previously measured the level of activation in circulating Cluster of Differentiation 4+ (CD4+) and Cluster of Differentiation 8+ (CD8+), T cells, B cells, monocytes, Natural Killers (NK) cells, neutrophils, and endothelial cells as well as of inflammation and fibrinolysis in 120 virologic responders over 45 years of age. Two independent hierarchical clustering analyses allowed the investigators to identify five patient groups, each with the same activation profile. One of these profiles, Profile#2, was strongly associated with hyperinsulinemia (Psomas et al., 2016). The main objective of the present study is to better define Profile#2. To this aim, the investigators will analyze by mass spectrometry the metabolites in the plasma of patients with various profiles including the one of interest. Concurrently, the investigators will perform an RiboNucleic Acid Sequencing (RNASeq) analysis on peripheral blood mononuclear cells (PBMC) from the same patients. These metabolomic and transcriptomic data will help to better define the immune activation profiles. The secondary objective is to test whether the link the investigators have observed between Profile#2 and insulin resistance is causative. To this aim, by following over time patients' insulinemia, the investigators will test whether Profile#2 is predictive of an increase in insulinemia. The investigators will also look for factors released by PBMC of patients with Profile#2 able to induce insulin resistance. |
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| Study Type | Observational | ||||||||
| Study Design | Observational Model: Cohort Time Perspective: Prospective |
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| Target Follow-Up Duration | Not Provided | ||||||||
| Biospecimen | Retention: Samples Without DNA Description:
Plasma and peripheral blood mononuclear cells (PBMC)
|
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| Sampling Method | Non-Probability Sample | ||||||||
| Study Population | HIV-1-infected adults under efficient antiretroviral therapy | ||||||||
| Condition | HIV Infections | ||||||||
| Intervention | Other: Signaling, metabolomic and transcriptomic analysis
Signaling, metabolomic and transcriptomic analysis
|
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| Study Groups/Cohorts | Non viremic HIV patients under treatment
Patients with various immune activation profiles
Intervention: Other: Signaling, metabolomic and transcriptomic analysis
|
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| Publications * | Psomas C, Younas M, Reynes C, Cezar R, Portalès P, Tuaillon E, Guigues A, Merle C, Atoui N, Fernandez C, Le Moing V, Barbuat C, Marin G, Nagot N, Sotto A, Eliaou JF, Sabatier R, Reynes J, Corbeau P. One of the immune activation profiles observed in HIV-1-infected adults with suppressed viremia is linked to metabolic syndrome: The ACTIVIH study. EBioMedicine. 2016 Jun;8:265-276. doi: 10.1016/j.ebiom.2016.05.008. Epub 2016 May 10. Erratum in: EBioMedicine. 2016 Aug;10:318-322. | ||||||||
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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| Recruitment Information | |||||||||
| Recruitment Status | Recruiting | ||||||||
| Estimated Enrollment |
300 | ||||||||
| Original Estimated Enrollment | Same as current | ||||||||
| Estimated Study Completion Date | March 2023 | ||||||||
| Estimated Primary Completion Date | March 2023 (Final data collection date for primary outcome measure) | ||||||||
| Eligibility Criteria |
Inclusion criteria:
Exclusion criteria:
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| Sex/Gender |
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| Ages | 18 Years and older (Adult, Older Adult) | ||||||||
| Accepts Healthy Volunteers | No | ||||||||
| Contacts |
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| Listed Location Countries | France | ||||||||
| Removed Location Countries | |||||||||
| Administrative Information | |||||||||
| NCT Number | NCT04028882 | ||||||||
| Other Study ID Numbers | RECHMPL18_0373 | ||||||||
| Has Data Monitoring Committee | No | ||||||||
| U.S. FDA-regulated Product |
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| IPD Sharing Statement |
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| Responsible Party | University Hospital, Montpellier | ||||||||
| Study Sponsor | University Hospital, Montpellier | ||||||||
| Collaborators | Not Provided | ||||||||
| Investigators | Not Provided | ||||||||
| PRS Account | University Hospital, Montpellier | ||||||||
| Verification Date | February 2021 | ||||||||
