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In vivo primary sensorimotor cortex glutathione does not differ in autistic children
Yulu Song1,2, Kathleen E. Hupfeld1,2, Christopher W. Davies-Jenkins1,2, Helge Zöllner1,2, Deana Crocetti3, Steve C.N. Hui1,2, Vivek Yedavalli1, Georg Oeltzschner1,2, Natalie Alessi3, Mitchell A. Batschelett3, Nicolaas A.J. Puts4,5, Stewart H. Mostofsky3,6,7, and Richard A.E. Edden1,2
1The Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom, 5MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom, 6Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Baltimore, MD, United States

Synopsis

Keywords: Psychiatric Disorders, Spectroscopy, Autism

Redox imbalance has been suggested as a pathophysiological factor in autism spectrum disorder (ASD). Edited MRS can be used to measure levels of glutathione, the most abundant redox compound in the brain. This study aims to compare glutathione levels in autistic children and typically developing children (TDC). Edited data were collected from the primary sensorimotor cortex (SM1) in 34 children with ASD and 31 TDC and quantified using Osprey. No difference was found in GSH levels in the SM1 between these two groups.

Introduction

Autism spectrum disorder (ASD, or autism) is characterized by difficulties in communication and social interaction, along with restrictive and repetitive motor behaviors and atypical sensory experiences1,2. The prevalence of autism is estimated to be 1 out of 44 children, with higher prevalence in boys3,4. While the autism diagnosis is well-defined, the underlying mechanisms are likely diverse and still poorly understood. Recent work5 has suggested that oxidative stress (OS) arising from both genetic and environmental factors may contribute to the neurophysiology of autism. Increased OS (resulting from impaired deactivation of damaging free radicals) in neurodevelopment could be a primary contributor of difficulties seen in autism5. Autistic individuals may exhibit differences in redox signaling, particularly in glutathione (GSH) metabolism6. As the most abundant endogenous antioxidant in the brain, GSH guards against cellular damage by serving as an electron donor to neutralize reactive oxygen species (ROS).
Edited MRS (e.g. MEGA-PRESS7 and Hadamard-encoded HERMES8) is widely used for the selective detection of low-concentration metabolites, including GSH9,10. Findings from prior MRS studies to assess GSH in autism have been inconsistent9,10. In the study, we used Hadamard-edited MRS (HERMES) to measure GSH levels in the primary sensorimotor cortex (SM1), which plays crucial roles in motor control and learning12,13 and in the integration of sensory and motor information, in a large pediatric cohort. We hypothesized that GSH would be significantly decreased in autism compared to TDC.

Methods

MRS data were collected on a Philips 3T Ingenia Elition RX scanner (Philips Healthcare, Best, the Netherlands) equipped with a 32-channel head coil. The scanning protocol included a 1 mm3 isotropic T1 MPRAGE for voxel placement and segmentation. HERMES spectra were acquired in 34 children with ASD and 31 TDC using the following parameters: PRESS localization; TR/TE 2000/80 ms; 30 x 30 x 30 mm3 voxel in SM1 as shown in Figure 1, 320 transients (9 min); 20 ms editing pulses applied at 1.9 ppm and 4.56 ppm following a HERMES scheme8; 2048 datapoints sampled at 2 kHz. All data were analyzed in Osprey14 (2.4.0), using linear-combination modeling to generate tissue-corrected water-referenced GSH levels15. Statistical analyses were conducted in RStudio (version 4.2.1)16. Metabolite levels were compared using a two-tailed independent samples t test, with a significance threshold of p<0.05.

Results

Demographic data, voxel tissue segmentation, and metabolite levels are presented in Table 1. Autistic and TDC did not differ significantly in age (p = 0.15), or sex (p = 0.89). Voxel tissue fractions were not significantly different between groups: fGM p = 0.97; fWM p = 0.87; and fCSF p = 0.78. Edited difference spectra, overlaid for all subjects in each group, are presented in Figure 2. GSH levels are visualized in Figure 3. No significant difference was found in GSH levels between the groups (p = 0.60).

Discussion

In this study, we aimed to investigate whether autistic children have reduced SM1 GSH levels compared to TDC; our results did not show the hypothesized effect. While this finding conflicts with prior reports of reduced GSH levels in plasma in children with autism17,18 our results agree with previous MRS studies in adults with ASD showing no difference in brain GSH in cortical and subcortical brain regions9,10, and extends the result into childhood (8 - 12 years old). However, as autism symptoms typically emerge at a younger age (around 2 years old), it could be that GSH differences between autism and TDC would only be detectable in earlier childhood. Future work should recruit autism samples with a wider age range starting in early childhood, that more completely capture the childhood years.
GSH is generally more abundant in astrocytes, with higher levels in gray matter than white matter19,20. One post-mortem study of pediatric brain tissue showed decreased GSH levels in the gray-matter-rich cerebellum and temporal cortex in autism, but not in white-matter-rich frontal, parietal and occipital cortices21. It might therefore be that GSH is altered in a region-specific manner. In the present work, the SM1 region had more white matter than gray matter; thus, the lack of group differences reported here could be due in part to the brain region investigated. Future studies should aim to capture a more complete neurometabolic profile of children with and without autism. Brain metabolite levels might be different among autistic children with different symptom severity22. In our planned future work on this dataset, we will additionally consider ASD traits in out statistical analyses.

Conclusion

In summary, we found that autistic children do not show significantly different levels of GSH in SM1 compared to TDC.

Acknowledgements

This work was supported by NIH grants P41 EB031771, R01 EB016089, R01 EB023963, R21 AG060245, R00 AG062230, K00AG068440, R21 HD100869 and R01 MH106564.

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Figures

Location of the primary sensorimotor cortex (SM1) voxel. Each participant’s native space binary voxel mask was normalized to MNI space and overlaid onto the spm152 template. Warmer colors indicate areas of greater overlap across participants.

In vivo GSH-edited spectra in SM1 of all 65 participants. The black line represents mean spectrum of each group.

Boxplot of GSH levels in SM1 (ASD vs. TDC). The red line represents mean levels.

Mean and standard deviation (SD) for demographic data, voxel tissue fractions and GSH levels (in institutional units); M = male; F = female; fGM = tissue fraction of gray matter; fWM = fraction of white matter; fCSF = fraction of cerebrospinal fluid.

Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)
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DOI: https://doi.org/10.58530/2023/5060