Modeling the Effects of Chronic Marijuana Use on Neuroinflammation and HIV-related Neuronal Injury
CHI
2 other identifiers
interventional
220
1 country
1
Brief Summary
This study applies a hypothesis-driven approach to examine the effects of chronic marijuana use on HIV-associated inflammation and its subsequent impacts on central nervous system function, with the goal of identifying the mechanisms through which cannabinoids modulate neurological disorders and other comorbidities in persons with HIV.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 16, 2021
CompletedFirst Posted
Study publicly available on registry
March 23, 2021
CompletedStudy Start
First participant enrolled
August 18, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 31, 2027
March 31, 2026
March 1, 2026
5.8 years
March 16, 2021
March 27, 2026
Conditions
Outcome Measures
Primary Outcomes (11)
Change in neurocognitive function as measured by neuropsychological battery
The neuropsychological testing battery assesses 7 cognitive domains with 3-4 tests per domain. Raw scores from each test will be converted to demographically adjusted standard scores, called T-scores using up-to-date US normative data. A T-score of 50 is considered the normative mean, and each 10-point deviation is equivalent to 1 standard deviation. The minimum possible T-score is 0 and the maximum is 100, with higher scores meaning better neurocognitive function. The average T-score for all tests in a domain will be the domain T-score, and the average of all domain T-scores will be the global T-score. T-scores will serve as the primary continuous measure because they capture the full range of cognitive function.
baseline, 1-year follow-up, and 2-year follow-up
Change in neuronal integrity as measured by N-acetyl aspartate (NAA)
NAA will be measured using Echo-planar spectroscopic imaging. Lower NAA is associated with less neuronal integrity. NAA units of measure is parts per million.
baseline, 1-year follow-up, and 2-year follow-up
Change in neuronal-glial interaction as measured by Glutamate + glutamine (GLX)
GLX will be measured using Echo-planar spectroscopic imaging. Lower GLX is indicative of less neuronal-glial interactions. GLX units of measure is parts per million.
baseline, 1-year follow-up, and 2-year follow-up
Change in axonal loss and injury as measured by axonal diffusivity (AD)
AD will be measured using diffusion-weighted imaging. Lower axonal diffusivity is associated with more axonal loss and injury. The unit of measure for AD is micrometer\^2/millisecond.
baseline, 1-year follow-up, and 2-year follow-up
Change in demyelination or dysmyelination as measured by radial diffusivity (RD)
RD will be measured using diffusion-weighted imaging. Higher radial diffusivity is associated with more demyelination and dysmyelination. The unit of measure for RD is micrometer\^2/millisecond.
baseline, 1-year follow-up, and 2-year follow-up
Change in overall white matter integrity as measured by fractional anisotropy (FA)
FA will be measured using diffusion-weighted imaging. Higher FA is associated with higher overall white matter integrity. FA is a scalar value between 0 and 1.
baseline, 1-year follow-up, and 2-year follow-up
Change in inflammation-related cellularity as measured by restricted fraction (RF)
RF will be measured using diffusion-weighted imaging. Higher restricted fraction is associated with higher inflammation-related cellularity. The unit of measure for RF is micrometer\^2/millisecond.
baseline, 1-year follow-up, and 2-year follow-up
Change in extracellular tissue edema as measured by non-restricted fraction (NF)
NF will be measured using diffusion-weighted imaging. Lower non-restricted fraction is associated with increased extracellular tissue edema. The unit of measure for NF is micrometer\^2/millisecond.
baseline, 1-year follow-up, and 2-year follow-up
Change in gray matter as measured by cortical area and thickness and cortical and subcortical volume
Cortical areas and thickness and cortical and subcortical volume will be measured using T1-weighted imaging. Lower gray matter is associated with decreased cognitive function and is a marker of neurodegenerative disease. Cortical area, thickness, and volume units of measure are in millimeter\^2. Subcortical volume units of measure are in millimeter\^3.
baseline, 1-year follow-up, and 2-year follow-up
Change in white matter integrity as measured by white matter tract streamline count
White matter tract streamline count will be measured using diffusion-weighted imaging. Lower white matter tract streamline count is associated with lower white matter integrity. The unit of measure for white matter tract streamline count is the total number of streamlines within a white matter tract.
baseline, 1-year follow-up, and 2-year follow-up
Change in axonal damage was measured by neurofilament light (NfL) protein
NfL will be measured using blood serum and processed using an ultrasensitive immunoassay. Higher NfL is associated with more axonal damage. NfL protein units of measure are in picogram/milliliter\^-1.
baseline, 1-year follow-up, and 2-year follow-up
Study Arms (4)
HIV+ marijuana user
OTHERParticipants with HIV who report marijuana use
HIV+ non-drug user
OTHERParticipants with HIV who report no drug use
HIV- marijuana user
OTHERParticipants without HIV who report marijuana use
HIV- non-drug user
OTHERParticipants without HIV who report no drug use
Interventions
The investigators will use multimodal, multi-parametric sequences to investigate neuroinflammatory and neurodegenerative processes in vivo. Participants will be assessed three times over 2 years.
Blood samples will be collected for immune and cytokine profiling. Participants will be assessed three times over 2 years.
Participants will have neuropsychological testing three times over 2 years.
Eligibility Criteria
You may qualify if:
- verified HIV status
- Current marijuana use (MJ+ groups only)
- No current marijuana use (MJ- groups only)
- current engagement in HIV care (HIV+ participants only)
- receipt of cART as first-line of treatment (HIV+ participants only)
- stable cART regimen (HIV+ participants only)
- undetectable HIV RNA viral load for \>1 year (HIV+ participants only)
You may not qualify if:
- Lifetime abuse for any illicit drug other than marijuana
- \<9th grade education; illiteracy or lack of fluency in English
- history of moderate or severe head trauma
- unstable or serious neurological disorders
- severe mental illness
- systemic autoimmune diseases
- immunotherapy
- MRI contraindications
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Biotech Place
Winston-Salem, North Carolina, 27101, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Christina S Meade, PhD
Wake Forest University Health Sciences
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 16, 2021
First Posted
March 23, 2021
Study Start
August 18, 2021
Primary Completion (Estimated)
May 31, 2027
Study Completion (Estimated)
May 31, 2027
Last Updated
March 31, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- The investigators will lock the data until the primary analyses are completed and accepted for publication, after which the investigators will make the data as widely available as possible.
- Access Criteria
- Data sharing agreements will include: (1) a commitment to acknowledge the sources of the data and conform to the terms and conditions under which they accessed it, (2) a commitment to use the data only for research purposes and not to identify any individual participant, (3) a commitment to securing the data using appropriate computer technology, and (4) a commitment to destroying or returning the data after analyses are completed.
Any guidelines, protocols, and operating procedures generated will be made freely available. The investigators will make the data and associated documentation available to users under a data-sharing agreement.