Meta-analysis of brain metabolite differences in HIV infection

Background: Numerous studies have used magnetic resonance spectroscopy (MRS) neurometabolite measurements to study HIV infection effects. While many have reported differences in total N-Acetylaspartate (tNAA), myo-Inositol (mI), and total Choline (tCho), there have been no meta-analyses performed to...

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Main Authors: Lydia Chelala, Erin E. O'Connor, Peter B. Barker, Thomas A. Zeffiro
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage: Clinical
Subjects:
MRS
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220302734
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spelling doaj-465466e60ad84b5cb2eaa73ee3af03922020-12-19T05:06:13ZengElsevierNeuroImage: Clinical2213-15822020-01-0128102436Meta-analysis of brain metabolite differences in HIV infectionLydia Chelala0Erin E. O'Connor1Peter B. Barker2Thomas A. Zeffiro3University of Maryland, School of Medicine, Baltimore, MD, United StatesUniversity of Maryland, School of Medicine, Baltimore, MD, United States; Corresponding authors at: University of Maryland, School of Medicine, 22 S. Greene Street, Baltimore, MD 21201, United States.Johns Hopkins University, School of Medicine, Baltimore, MD, United StatesUniversity of Maryland, School of Medicine, Baltimore, MD, United States; Corresponding authors at: University of Maryland, School of Medicine, 22 S. Greene Street, Baltimore, MD 21201, United States.Background: Numerous studies have used magnetic resonance spectroscopy (MRS) neurometabolite measurements to study HIV infection effects. While many have reported differences in total N-Acetylaspartate (tNAA), myo-Inositol (mI), and total Choline (tCho), there have been no meta-analyses performed to evaluate concordance across studies. Purpose: To evaluate the consistency of HIV serostatus effects on brain metabolites. Study selection: The sample included studies conducted between 1993 and 2019 reporting HIV infection effects measured using proton MRS. tNAA/tCr ratios (21 papers), tCho/tCr ratios (21 papers), mI/tCr ratios (17 papers) and quantitative tCr (9 papers), sampling from basal ganglia (BG), gray matter (GM), and white matter (WM) were included. Data analysis: Random effects meta-analysis using inverse variance weighting and bias corrected standardized mean differences (SMDs) was used. Meta-regression examined effects of publication year and data acquisition technique differences. Data synthesis: BG SMDs related to positive serostatus were −0.10 [−0.39; 0.18] tNAA/tCr, 0.27 [0.05; 0.49] tCho/tCr, 0.60 [0.31; 0.90] mI/tCr, and −0.26 [−0.59; 0.06] tCr. GM SMDs related to serostatus were −0.29 [−0.49; −0.09] tNAA/tCr, 0.37 [0.19; 0.54] tCho/tCr, 0.41 [0.15; 0.68] mI/tCr, and −0.24 [−0.45; −0.03] tCr. WM SMDs related to serostatus were −0.52 [−0.79; −0.25] tNAA/tCr, 0.41 [0.21; 0.61] tCho/tCr, 0.59 [0.24; 0.94] mI/tCr, and −0.03 [−0.25; 0.19] tCr. WM regions showed larger serostatus effect sizes than BG and GM. I2 ranged from 52 to 88% for the metabolite ratios. Both GM and WM tNAA/tCr SMDs were lower with increasing calendar year. Limitations: Many studies pooled participants with varying treatment, infection, and comorbidity durations. Conclusions: HIV neurometabolite studies showed consistently lower tNAA/tCr, higher tCho/tCr and higher mI/tCr ratios associated with chronic HIV infection. Substantial between-study variation may have resulted from measurement technique variations, study population differences and HIV treatment changes over time. Higher WM tCho/tCr and mI/tCr may reflect reactive gliosis or myelin turnover. Neurometabolite measurements can reliably detect chronic HIV infection effects and may be useful in understanding the pathophysiology of cognitive and sensorimotor decline following HIV infection. Classification of evidence: This study provides Class II evidence of neurometabolite differences in chronic HIV infection.http://www.sciencedirect.com/science/article/pii/S2213158220302734MRSMagnetic resonance spectroscopyHIV associated neurocognitive disorderHANDInflammationNeurons
collection DOAJ
language English
format Article
sources DOAJ
author Lydia Chelala
Erin E. O'Connor
Peter B. Barker
Thomas A. Zeffiro
spellingShingle Lydia Chelala
Erin E. O'Connor
Peter B. Barker
Thomas A. Zeffiro
Meta-analysis of brain metabolite differences in HIV infection
NeuroImage: Clinical
MRS
Magnetic resonance spectroscopy
HIV associated neurocognitive disorder
HAND
Inflammation
Neurons
author_facet Lydia Chelala
Erin E. O'Connor
Peter B. Barker
Thomas A. Zeffiro
author_sort Lydia Chelala
title Meta-analysis of brain metabolite differences in HIV infection
title_short Meta-analysis of brain metabolite differences in HIV infection
title_full Meta-analysis of brain metabolite differences in HIV infection
title_fullStr Meta-analysis of brain metabolite differences in HIV infection
title_full_unstemmed Meta-analysis of brain metabolite differences in HIV infection
title_sort meta-analysis of brain metabolite differences in hiv infection
publisher Elsevier
series NeuroImage: Clinical
issn 2213-1582
publishDate 2020-01-01
description Background: Numerous studies have used magnetic resonance spectroscopy (MRS) neurometabolite measurements to study HIV infection effects. While many have reported differences in total N-Acetylaspartate (tNAA), myo-Inositol (mI), and total Choline (tCho), there have been no meta-analyses performed to evaluate concordance across studies. Purpose: To evaluate the consistency of HIV serostatus effects on brain metabolites. Study selection: The sample included studies conducted between 1993 and 2019 reporting HIV infection effects measured using proton MRS. tNAA/tCr ratios (21 papers), tCho/tCr ratios (21 papers), mI/tCr ratios (17 papers) and quantitative tCr (9 papers), sampling from basal ganglia (BG), gray matter (GM), and white matter (WM) were included. Data analysis: Random effects meta-analysis using inverse variance weighting and bias corrected standardized mean differences (SMDs) was used. Meta-regression examined effects of publication year and data acquisition technique differences. Data synthesis: BG SMDs related to positive serostatus were −0.10 [−0.39; 0.18] tNAA/tCr, 0.27 [0.05; 0.49] tCho/tCr, 0.60 [0.31; 0.90] mI/tCr, and −0.26 [−0.59; 0.06] tCr. GM SMDs related to serostatus were −0.29 [−0.49; −0.09] tNAA/tCr, 0.37 [0.19; 0.54] tCho/tCr, 0.41 [0.15; 0.68] mI/tCr, and −0.24 [−0.45; −0.03] tCr. WM SMDs related to serostatus were −0.52 [−0.79; −0.25] tNAA/tCr, 0.41 [0.21; 0.61] tCho/tCr, 0.59 [0.24; 0.94] mI/tCr, and −0.03 [−0.25; 0.19] tCr. WM regions showed larger serostatus effect sizes than BG and GM. I2 ranged from 52 to 88% for the metabolite ratios. Both GM and WM tNAA/tCr SMDs were lower with increasing calendar year. Limitations: Many studies pooled participants with varying treatment, infection, and comorbidity durations. Conclusions: HIV neurometabolite studies showed consistently lower tNAA/tCr, higher tCho/tCr and higher mI/tCr ratios associated with chronic HIV infection. Substantial between-study variation may have resulted from measurement technique variations, study population differences and HIV treatment changes over time. Higher WM tCho/tCr and mI/tCr may reflect reactive gliosis or myelin turnover. Neurometabolite measurements can reliably detect chronic HIV infection effects and may be useful in understanding the pathophysiology of cognitive and sensorimotor decline following HIV infection. Classification of evidence: This study provides Class II evidence of neurometabolite differences in chronic HIV infection.
topic MRS
Magnetic resonance spectroscopy
HIV associated neurocognitive disorder
HAND
Inflammation
Neurons
url http://www.sciencedirect.com/science/article/pii/S2213158220302734
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