Teddy Salan1, Varan Govind1, Joseph Gullett2, Eric Porges2, Zhigang Li2, Ronald Cohen2, and Robert Cook2
1University of Miami, Miami, FL, United States, 2University of Florida, Gainesville, FL, United States
Synopsis
Keywords: Neuroinflammation, Infectious disease, Alcohol Use
Chronic alcohol use
and HIV infection can have synergistic effects that negatively impact the brain
leading to abnormalities such as neuro-inflammation. Free-water
eliminated DTI (FWE-DTI) has been suggested as
a biomarker of neuro-inflammation. This
study compare DTI and FWE-DTI derived metrics in the brains of HIV+/HIV-
chronic drinkers to determine whether HIV infection or drinking behavior is a
more significant factor contributing to brain microstructural abnormalities and
neuro-inflammation. Our results suggest that HIV is
a more significant factor than drinking level contributing to elevated free water in the brain as a sign of neuro-inflammation.
Introduction
Chronic
alcohol use is prevalent among people living with HIV (PLWH) and is associated
with reduced adherence to antiretroviral therapy (ART).1
In addition, alcohol use and HIV infection can have synergistic adverse effects
on the brain leading to functional, structural, and metabolic abnormalities.2 In
particular, neuro-inflammation
has been observed among both PLWH and chronic drinkers.
In HIV, this occurs after the virus crosses the blood-brain barrier where it escapes
effective targeting by ART.3 In both
alcohol use and HIV, translocation of gut bacteria into peripheral tissues
triggers pro-inflammatory responses.4 However,
these mechanisms are not completely understood, and in-vivo MRI methods such as
diffusion tensor imaging (DTI) and free-water eliminated DTI (FWE-DTI)5,6 are
increasingly used to investigate neuro-inflammation in alcohol use and HIV
infection. FWE-DTI differentiates water contained in the extracellular space
from intracellular tissue water trapped within cells, and estimates the
extracellular free water volume fraction (FW) which has been suggested
as a biomarker of neuro-inflammation.7
In this study, we compare DTI and FWE-DTI derived metrics in the brains of
HIV+/HIV- chronic drinkers to determine whether HIV infection or drinking
behavior is a more significant factor contributing to brain microstructural
abnormalities and neuro-inflammation.Methods
MRI data were collected on a 3T scanner from 25
HIV+ and 18 HIV- chronic drinkers categorized into moderate (male≤14, female≤7
drinks/week) and heavy drinkers (male>14, female>7 drinks/week) as
defined by the NIAAA.8 Drinks per week were self-reported from the 30
days prior to scanning. The four groups were: moderate-HIV+ (age: 55.3±4.9, 16M/5F), heavy-HIV+ (age: 55.5±3.9, 1M/3F), moderate-HIV- (age: 56.6±4.3, 11M/3F), heavy-HIV- (age: 54.8±5.7, 2M/2F). The MRI protocol included whole-brain
diffusion-weighted (DW) MRI with:
b = 1000/2000 s/mm2; 30 gradient directions; TR/TE: 1150/98 ms;
voxel dimension: 2.0×2.0×2.0 mm; 54 axial slices. Two additional b0 images
were collected using opposite phase encoding direction (AP-PA) with the same
parameters.
DW-images
were pre-processed with FSL9 for susceptibility-induced
distortions, eddy currents and motion correction. Tensor fitting was performed using
Dipy10
from which we obtained DTI metrics: fractional anisotropy (FA), mean-, axial-,
and radial-diffusivities (MD, AD, RD); and FWE-DTI metrics: FWE-FA, FWE-MD,
FWE-AD, FWE-RD, and FW. We evaluated these metrics at 14 regions of interest
(ROI) relevant to both HIV and alcohol use11,12
selected from the JHU-MNI-SS-type2 atlas13
(figure 1). Large deformation diffeomorphic metric mapping (LDDMM)14 was used to inverse
transform the atlas in template space to subject space and obtain data for
analyses from ROIs in individual subject space.
Statistical
analysis was performed using R. ROI-based group comparisons were performed using
a two-way ANCOVA analysis to examine the effects of HIV infection and drinking level
on each DTI/FWE-DTI metric, controlling for age (significance at p<0.05
adjusted for multiple comparisons with FDR). Post-hoc pairwise comparisons were
used to determine between-group differences.Results
The
ANCOVA output showed no significant two-way interaction between HIV infection
and drinking level for any metric. Additionally, only HIV infection as a
grouping variable had significant effects on imaging outcomes. For DTI metrics, no
significant group differences were found in FA, while significantly higher MD,
AD, and RD was observed in the moderate-HIV+ group compared to moderate-HIV- group
at the thalamus and fornix (figure 2). FWE metrics showed increases in FWE-FA,
FWE-MD, and FWE-AD for moderate-HIV+ compared to moderate-HIV- in the thalamus
(figure 3). FW was the most significantly different measure with elevated
free-water in the thalamus, fornix, insula, hippocampus, and substantia nigra
for moderate-HIV+ compared to moderate-HIV- (figure 4).Discussion
Results show
widespread FW increase in the brain among HIV+ compared to HIV- drinkers,
suggesting multi-regional inflammation due to HIV infection. The thalamus and
fornix appear to be the most heavily affected ROIs where we also observed
increases in MD, AD, and RD for HIV+ drinkers. This is mirrored by increased
thalamic FWE-FA,
FWE-MD, and FWE-AD, with no change in FWE-RD, indicating that the higher
diffusivity can be attributed to the expansion of the extra-cellular space from
inflammation. The thalamus is considered a juction region, where white matter
tracts involved in cognitive networks affected by alcohol use traverse through,12 as well as a major site of HIV reservoir. No differences were found in
FA suggesting no additional axonal injury due to HIV infection compared to alcohol
use. Conversely, the effect of drinking level was not significant for any
measures. This indicates that HIV infection is a potentially stronger source of
neuro-inflammation compared to increased drinking, despite the fact that 20 out
of 25 HIV+ subjects were virally suppressed (viral load<200 copies/ml). Lack of significant effect from drinking may
be attributed to the small sample size of heavy drinkers (n=8) compared to
moderate drinkers (n=35). This, along with absence of non-alcoholic/HIV-
controls will be addressed in the future. We will also carry out a longitudinal
study on the same population with a second MRI scan after 30 days of alcohol
abstinence to determine the effects of alcohol recovery with and without
HIV infection on the brain.Conclusion
While neuro-inflammation
is a feature of both chronic alcoholism and HIV infection, our results suggest
that presence of HIV, even among virally suppressed PLWH, is a more significant factor contributing
to brain inflammation compared to an increase in drinking level.Acknowledgements
No acknowledgement found.References
1. Kader R, Govender R, Seedat S, Koch JR, Parry C. Understanding the Impact of Hazardous and Harmful Use of Alcohol and/or Other Drugs on ARV Adherence and Disease Progression. PLoS One. 2015;10(5):e0125088.
2. Williams EC, Hahn JA, Saitz R, Bryant K, Lira MC, Samet JH. Alcohol Use and Human Immunodeficiency Virus (HIV) Infection: Current Knowledge, Implications, and Future Directions. Alcohol Clin Exp Res. 2016;40(10):2056-2072.
3. Ash MK, Al-Harthi L, Schneider JR. HIV in the Brain: Identifying Viral Reservoirs and Addressing the Challenges of an HIV Cure. Vaccines (Basel). 2021;9(8).
4. Lanquetin A, Leclercq S, de Timary P, et al. Role of inflammation in alcohol-related brain abnormalities: a translational study. Brain Commun. 2021;3(3):fcab154.
5. Pasternak O, Sochen N, Gur Y, Intrator N, Assaf Y. Free water elimination and mapping from diffusion MRI. Magn Reson Med. 2009;62(3):717-730.
6. Hoy AR, Koay CG, Kecskemeti SR, Alexander AL. Optimization of a free water elimination two-compartment model for diffusion tensor imaging. Neuroimage. 2014;103:323-333.
7. Uddin MN, Faiyaz A, Wang L, et al. A longitudinal analysis of brain extracellular free water in HIV infected individuals. Sci Rep. 2021;11(1):8273.
8. Drinking Levels Defined. National Institute on Alcohol Abuse and Alcoholism. https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking. Accessed.
9. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. 2012;62(2):782-790.
10. Garyfallidis E, Brett M, Amirbekian B, et al. Dipy, a library for the analysis of diffusion MRI data. Front Neuroinform. 2014;8:8.
11. Nath A. Eradication of human immunodeficiency virus from brain reservoirs. Journal of neurovirology. 2015;21(3):227-234.
12. Zahr NM, Pfefferbaum A, Sullivan EV. Perspectives on fronto-fugal circuitry from human imaging of alcohol use disorders. Neuropharmacology. 2017;122:189-200.
13. Oishi K, Faria A, Jiang H, et al. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants. Neuroimage. 2009;46(2):486-499.
14. Ceritoglu C, Tang X, Chow M, et al. Computational analysis of LDDMM for brain mapping. Front Neurosci. 2013;7:151.