White Matter Development is Potentially Influenced in Adolescents with Vertically Transmitted HIV Infections: A Tract-Based Spatial Statistics Study

Abstract

BACKGROUND AND PURPOSE: Convergent evidence indicates that HIV is associated with abnormal WM microstructure in adults. However, little is known about whether HIV affects WM development in adolescents. In this study, we used DTI to investigate the integrity of WM microstructure in adolescents with vertically transmitted HIV infections.

MATERIALS AND METHODS: Fifteen HIV-positive adolescents with vertically transmitted infections and 26 HIV-negative controls participated in this study. Whole-brain analysis of fractional anisotropy was performed by Tract-Based Spatial Statistics to localize abnormal WM regions between groups. VOI analysis was further performed to explore the changes in diffusivity indices in the regions with fractional anisotropy alterations. Correlation analyses were used to assess the relationship between fractional anisotropy alterations and clinical measures within the HIV-positive group.

RESULTS: Relative to HIV-negative controls, HIV-positive adolescents demonstrated significantly reduced fractional anisotropy in the corpus callosum, superior and posterior corona radiata, frontal and parietal WM, pre-/postcentral gyrus, and superior longitudinal fasciculus. In the affected regions, fractional anisotropy reductions were caused by an increase in radial diffusivity, and no changes were observed in axial diffusivity. Moreover, fractional anisotropy values in the bilateral frontal WM were negatively correlated with the duration of highly active antiretroviral therapy and were positively associated with the age at onset of highly active antiretroviral therapy.

CONCLUSIONS: These findings suggest that early HIV infections may affect WM development, especially in the frontal WM, corpus callosum, and corona radiata in adolescents, which may be associated with hypomyelination and demyelination. Moreover, WM integrity may serve as a potential new treatment target.

ABBREVIATIONS:

AD: axial diffusivity
FA: fractional anisotropy
HAART: highly active antiretroviral therapy
MD: mean diffusivity
RD: radial diffusivity
TBSS: Tract-Based Spatial Statistics

HIV infections around the world are increasing constantly.¹ HIV is a neurotrophic virus affecting the cellular immune system through the infection and destruction of CD4 lymphocytes, which causes multiple organs, such as the respiratory system,² digestive system,³ and CNS, to have relevant illnesses.⁴ Cognitive impairment, HIV-associated dementia, and AIDS dementia complex are commonly observed.⁵

DTI is capable of examining the WM and providing objective parameters that measure the microstructural features nondestructively and noninvasively.⁶ Recent DTI studies have identified abnormalities in the subcortical WM and corpus callosum, despite appearing normal on conventional MRI in HIV-infected adults.⁷ Abnormal WM integrity, such as reduced fractional anisotropy (FA) or increased mean diffusivity (MD), was found in the splenium,⁸ superior longitudinal fasciculus,⁹ anterior and superior corona radiata,^10,11 and frontal and parietal WM¹² in HIV-infected adults.

Similarly, neuroimaging studies have also demonstrated vast WM abnormalities in adolescents with vertically transmitted HIV infection. For example, a voxel-based morphometry study reported WM atrophy in the posterior part of corpus callosum, external capsule, and ventral temporal lobe in vertically infected youths (age range, 13–25 years).¹³ Hoare et al¹⁴ found that vertically HIV-infected children (age range, 8–12 years) had lower FA and higher MD and radial diffusivity (RD) in the corpus callosum and increased MD in the superior longitudinal fasciculus. Taken together, these findings suggest that abnormal WM integrity may also be present in adolescents (age range, 12–18 years) with vertically transmitted HIV infections. However, previous studies have focused mainly on adults or younger children, and few studies have focused on adolescents with HIV infections. In addition, highly active antiretroviral therapy (HAART) appears to have a positive impact on the WM in the temporal lobe¹⁵ but with some toxicity.¹⁶ The effects of HAART in adolescents are also uncertain; this uncertainty may be attributed to high rates of nonadherence¹⁷ and loss to follow-up.¹⁸

Therefore, in this study, we used DTI combined with Tract-Based Spatial Statistics (TBSS; http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/TBSS) analysis to investigate the integrity of WM microstructure in adolescents with vertically transmitted HIV infections undergoing current HAART.

Materials and Methods

Subjects

We recruited 15 HIV-positive adolescents undergoing combination HAART (mean age, 15.3 ± 1.3 years; range, 13–17 years). The HIV was confirmed by an enzyme-linked immunosorbent assay and western blot. We also recruited 26 age- and sex-matched HIV-negative subjects (mean age, 15.0 ± 1.6 years; range, 12–18 years). All of the HIV-positive adolescents were infected through mother-to-child transmission during pregnancy, delivery, or breastfeeding, and the HIV-negative subjects' fathers or mothers (or both) also had HIV infections. The socioeconomic statuses of the groups and the cultural and ethnic backgrounds of their families were similar. The detailed demographic information and clinical measures are listed in Table 1. All subjects were recruited from the Center of AIDS Prevention and Cure of Zhongnan Hospital, Wuhan University. The inclusion criteria for HIV-infected subjects were HIV acquisition during the fetal or neonatal period, current treatment with HAART, and right-handedness. For the control subjects, the inclusion criteria were the confirmation of HIV-negative status by enzyme-linked immunosorbent assay and right-handedness.

View this table:

Table 1:

Demographic information for subjects in each group

The exclusion criteria for all the subjects included age younger than 12 years or older than 18 years, acute medical illnesses, current or past medical or neurologic disorders, psychiatric diseases, mental retardation, current alcohol or substance abuse, HIV encephalopathy and opportunistic infections, MR imaging contraindications, claustrophobia, and metabolic disturbances or other brain diseases (not HIV-related). For control subjects, the exclusion criteria also included severe school difficulties and any chronic medication other than asthma medication. Most of the HIV-infected participants underwent laboratory evaluations, such as plasma CD4 T-cell counts. The CD4 counts ranged from 12 to 1014 cells/mL (average, 605.8 cells/mL). In this study, the patients who were HIV-positive were all undergoing HAART. Thus, all of the plasma viral loads were undetectable (0–50 copies/mL). The Montreal Cognitive Assessment and the Mini-Mental State Examination were used to assess the subjects' cognitive abilities.

The study was approved by the Medical Ethics Committee of Zhongnan Hospital of Wuhan University, and written informed consent was obtained from all participants or their guardians after a complete description of the measurements required for the study.

Image Acquisition

All subjects were scanned by a 3T MR imaging scanner (Tim Trio; Siemens, Erlangen, Germany). An 8-channel phased array head coil was used with restraining foam pads to minimize head motion and diminish the sounds of the scanner. A single-shot, spin-echo EPI technique with alignment of the anterior/posterior commissure plane was performed with the following parameters: TR = 6000 ms, TE = 87 ms, FOV = 24 × 24 cm², acquisition matrix = 128 × 128 zero-filled to 256 × 256, section thickness = 3 mm without gap, sections = 45, number of repetitions = 4, parallel acceleration factor = 2. The diffusion sensitizing gradients were applied along 20 noncollinear gradient encoding directions with b=1000 s/mm² with an acquisition without diffusion-weighting (b=0 s/mm²).

Data Processing

DTI data analysis was performed by the FMRIB Diffusion Toolbox http://www.fmrib.ox.ac.uk/fsl/fdt/index.html). The diffusion-weighted volumes were first aligned to their corresponding non-diffusion-weighted images to minimize image distortion and reduce simple head motion. The diffusion tensor for each voxel was then assessed, and the diffusion tensor was diagonalized to obtain its 3 pairs of eigenvalues (λ₁, λ₂, λ₃) and eigenvectors. Four diffusion indices, including FA, MD, axial diffusivity (AD = λ₁), and RD [RD = (λ₂ + λ₃) / 2] were calculated. These measurements are associated with the microstructural integrity of the WM and are often applied to infer the structural characteristics of the local tissue environment.¹⁹

Voxelwise, observer-independent, whole-brain analysis of FA images was performed by TBSS.²⁰ In brief, the FA volumes for all subjects were first normalized to the Montreal Neurological Institute space. The registered FA images were then averaged to obtain a mean FA image, and the mean FA image was applied to create a mean FA skeleton, which represents the main fiber tracts. The mean FA skeleton was further thresholded to exclude gray matter and CSF by a value of 0.2. Following this step, the aligned FA data for each subject were projected onto the mean skeleton to create a skeletonized FA map. To identify FA differences between groups, we fed the skeletonized FA data into the voxel-by-voxel, nonparametric statistical analysis with age, sex, and educational levels as covariates. Threshold-free cluster enhancement was used to obtain the significant differences between 2 groups at P < .05 after accounting for multiple comparisons by controlling for the family-wise error rate. The significant results were located with the JHU-ICBM-DTI-81 WM label atlas (http://cmrm.med.jhmi.edu/) in the Montreal Neurological Institute space.

To explore mechanisms related to the FA changes, we further performed VOI analysis to investigate alterations in diffusivity indices (AD, RD, and MD) in the regions with FA alterations. The VOI mask was first extracted on the basis of the clusters with intergroup FA differences and were then inversely transformed to the original images of each subject. The mean values of the diffusivity indices were calculated. A 1-way analysis of covariance with the group as the independent variable and diffusivity indices as the dependent variables was performed (controlling for age, sex, and education levels). A significance level of P < .05 (Bonferroni correction for multiple comparisons) was used.

Multiple linear regression analysis was performed to investigate whether there were relationships between the clinical variables and FA changes in the affected regions with WM abnormalities. A P < .05 (uncorrected) was considered significant.

Results

Demographic Information

Table 1 lists the detailed demographic and clinical information for the HIV-positive adolescents and HIV-negative controls. The HIV-positive subjects demonstrated no significant differences in age, sex, or education level (in years). There were no differences in the Montreal Cognitive Assessment or Mini-Mental State Examination total scores between these 2 study groups. The average CD4 count in HIV-positive subjects was 605.8 ± 345.0 cells/mL.

TBSS Results

The spatial distribution of the brain regions demonstrating decreased FA in the HIV-positive adolescents is presented in Fig 1 and Table 2. Compared with the controls, the HIV-positive adolescents demonstrated significantly reduced FA in the bilateral corpus callosum (including the genu, body, and splenium), bilateral superior and posterior corona radiata, bilateral frontal and parietal WM, bilateral pre-/postcentral gyrus, and left superior longitudinal fasciculus. In no regions did HIV-positive adolescents demonstrate higher FA than controls.

Fig 1.

TBSS analysis of fractional anisotropy maps. Areas in red are brain regions where FA is significantly reduced (P < .05, corrected by multiple comparison) in HIV-positive subjects relative to HIV-negative controls. The results are shown overlaid on the Montreal Neurological Institute 152-T1 template and the mean FA skeleton (green). The left side of the image corresponds to the right hemisphere of the brain. FA changes occur in the region with Montreal Neurological Institute coordinates in the z-direction between z = 6 and z = 63.

View this table:

Table 2:

Neuroanatomic regions with decreased FA in HIV-positive subjects relative to HIV-negative controls^{^a}

VOI Results

To investigate the mechanisms related to the FA changes, the brain regions with significantly decreased FA were extracted for VOI-based analyses of other diffusion indices. Twelve of the 14 VOIs demonstrated significantly increased RD (P < .05 after Bonferroni correction). The other 2 VOIs trended toward increased RD. No significant differences were detected in AD in any of the VOIs. Only 3 VOIs had significantly increased MD (P < .05 after Bonferroni correction). The results are listed in Table 3.

View this table:

Table 3:

Group differences in diffusivity indices from VOIs

Correlation Results

Using a multiple linear regression analysis, we found that in HIV-infected adolescents, the FA values of the bilateral WM were negatively correlated with the duration of HAART (right frontal WM: r = −0.634, P = .011, Fig 2A; left frontal WM: r = −0.623, P = .013, Fig 2B), and the FA values of the bilateral WM were positively correlated with the age at onset of HAART (right frontal WM: r = 0.615, P = .015, Fig 2C; left frontal WM: r = 0.553, P = .032, Fig 2D).

Fig 2.

Correlation results between FA alterations and clinical measures in the HIV-positive subjects. A, FA values in the right frontal WM (rFWM) are negatively correlated with the duration of HAART (r = −0.634, P = .011). B, FA values in the left frontal WM (lFWM) are negatively correlated with the duration of HAART (r = −0.623, P = .013). C, FA values in the rFWM are positively correlated with the age at onset of HAART (r = 0.615, P = .015). D, FA values in the lFWM are positively correlated with the age at onset of HAART (r = 0.553, P = .032).

Discussion

In this study, we used DTI to explore the integrity of WM microstructure in adolescents with vertically transmitted HIV infections by voxelwise TBSS analysis. HIV-positive adolescents showed decreased FA in the bilateral corpus callosum, bilateral superior and posterior corona radiata, bilateral frontal and parietal WM, bilateral pre-/postcentral gyrus, and left superior longitudinal fasciculus. These results reflect a disruption in the microstructure of the WM in HIV-infected adolescents. VOI analysis demonstrated that decreased FA in the HIV-positive subjects was mainly a result of increased RD but no changes in AD; these findings were perhaps a manifestation of the disrupted integrity of myelin. Moreover, a multiple regression analysis demonstrated that the FA values in the bilateral frontal WM were negatively correlated with the duration of HAART and positively correlated with the age at onset of HAART.

The findings that FA values within the genu, body, and splenium of the corpus callosum were reduced in HIV-positive adolescents are consistent with findings in previous studies on HIV-infected children and adults. For example, FA values for the genu,¹⁰ body,²¹ and splenium⁸ of the corpus callosum^11,22 are significantly reduced in HIV-infected adults. Decreased FA of the body of corpus callosum is also reported in HIV-infected children.¹⁴ In addition, a lower FA in the genu of corpus callosum is demonstrated in a macaque model of neuro-AIDS.²³ Greater callosal maturation is associated with greater motor function.²⁴ The corpus callosum is also involved with memory and executive function.²⁵ Moreover, deceased FA is also found in the anterior and superior corona radiata in HIV-infected participants.^10,11 The anterior corona radiata is associated with functions of the executive network.²⁶ Previous studies have focused on HIV-infected children and found that the subjects displayed visual-spatial memory and motor developmental deficits and executive function disorders.^27,28 Taken together, it can be concluded that a decline in the microstructural integrity of WM fibers may account for cognitive decline in HIV-positive adolescents.

In addition, patients with asymptomatic HIV have an abnormal WM microstructure. Xuan et al²⁹ reported that the mean FA values were significantly lower and the mean AIDS dementia complex values were significantly higher in the corpus callosum and periventricular, frontal, and parietal WM in the asymptomatic group. A similar result has been found in the study by Hoare et al.¹⁴ These results imply that patients with HIV may have alterations in the diffusion of water molecules in their brain WM, whether they have symptoms or not. In our study, most of the subjects were also asymptomatic, and there were no significant differences in the Montreal Cognitive Assessment and Mini-Mental State Examination scores between the 2 groups.

The genu and splenium of the corpus callosum reach 90% of the maximum FA value by 11 years of age and demonstrate the earliest and most rapid FA changes with age, while the corona radiata demonstrates no FA changes with age from 5 to 30 years of age.³⁰ Age-related FA increases in the adolescent group, including the body of the corpus callosum and right superior corona radiata. In contrast, in the young adult group, the FA changes are much less prominent.³¹ By 8–9 months, the corpus callosum appears identical to that of an adult.³² All these results indicate that early HIV infection may affect WM development, especially in the corpus callosum and corona radiata.

Reduced FA is a well-established biomarker for the impaired integrity of WM. FA may be affected by many factors, including myelination, axon size and attenuation, path geometry, and extracellular water space between fibers.¹⁹ In our study, FA reduction in HIV-positive adolescents was mainly driven by an increase in RD (no changes in AD). It is generally believed that RD mainly reflects the integrity and thickness of the myelin sheets covering the axons.³³ Although the mechanism of this interesting phenomenon is not yet clear, we presume that it may be related to a manifestation of disrupted integrity of myelin or even hypomyelination in the affected brain regions and the axonal injury cannot be identified. Related studies have demonstrated the predominant pathologic features, including pericapillary multinucleated giant cells, myelin loss, reactive astrocytosis, and microglial activation with microglial nodules.³⁴ These factors may influence myelination and myelin development. The above findings indicate that the WM integrity may serve as a potential new treatment target for HIV-positive patients, and FA may be used as a qualified biomarker to understand the underlying mechanisms of injury or to evaluate the effectiveness of early interventions in adolescents with vertically transmitted HIV infections.

In this study, we found that the FA values in the bilateral frontal WM were negatively correlated with the duration of HAART and positively correlated with the age at onset of HAART. Although HAART can effectively suppress the HIV systemic burden, poor penetration into the CNS provides incomplete protection. Increasing evidence has also suggested that certain HAARTs may cause mitochondrial toxicity and lead to neuronal loss.^16,35 This finding suggests that a longer HIV treatment may be associated with possible neurotoxicity in the WM of HIV-infected adolescents. However, the HIV treatment is offered to patients with <350 CD4+ T cells/mm³ or plasma HIV ribonucleic acid levels of >55,000 copies/mL,³⁶ so the earlier and longer HIV treatment may have been due to more virulent strains, thus accounting for direct viral effects on the WM by a very heterogeneous viral population. The early formation of myelin integrity may be disrupted irreversibly. In general, we infer that the cerebral WM development and myelination of HIV-infected adolescents might be affected by the HIV treatment and direct viral effects, especially in the frontal lobe.

In addition, the bilateral frontal white matter appears to be more involved according to the significant correlation results. Pomara et al³⁷ found that subjects with HIV who were receiving HAART had significantly decreased FA compared with the healthy controls only in the frontal lobes. This is possibly because the frontal WM myelination may be more vulnerable during brain maturation.

There are several limitations in this study. First, cross-sectional and longitudinal studies on HIV-infected adolescents are needed to confirm the correlation between DTI alterations and neurocognitive performance, and more detailed neurocognitive tests should be performed. Furthermore, all of our subjects were receiving HAART during the DTI examination. Thus, we could not compare the potential differences between treated and untreated patients in the DTI analysis.

Conclusions

Adolescents with vertically transmitted HIV infections demonstrated microstructural WM damage as measured by reduced FA values in some brain regions, which may be caused by disrupted myelin integrity associated with increased RD. Our results have the potential to improve our understanding of the pathogenesis of brain WM changes in adolescents with vertically transmitted HIV infections and indicate that early HIV infection may affect WM development, especially in the frontal WM, corpus callosum, and corona radiata of adolescents. New neuroprotective regimens should be developed and performed earlier for children and adolescents with vertically transmitted HIV infections. The effectiveness of specific, early interventions can be confirmed by DTI, and FA values may be qualified biomarkers.

Footnotes

This work was partially supported by the Natural Science Foundation of China (Nos. 81171315, 81227902 and 21221064), and National Basic Research Program of China (973 Program) Grant No. 2011CB707802.

Indicates open access to non-subscribers at www.ajnr.org

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Received January 24, 2015.
Accepted after revision February 25, 2015.

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American Journal of Neuroradiology

White Matter Development is Potentially Influenced in Adolescents with Vertically Transmitted HIV Infections: A Tract-Based Spatial Statistics Study

Abstract

ABBREVIATIONS:

Materials and Methods

Subjects

Image Acquisition

Data Processing

Results

Demographic Information

TBSS Results

VOI Results

Correlation Results

Discussion

Conclusions

Footnotes

References

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