Kiwamu Matsuoka1,2, Masaki Oya1,3, Manabu Kubota1,4,5, Junya Fujino3,5, Shisei Tei4,5,6,7, Keisuke Takahata1,8, Kenji Tagai1, Yasuharu Yamamoto1,8, Hitoshi Shimada1,9, Chie Seki1, Takashi Itahashi 5, Yuta Y. Aoki5, Haruhisa Ohta5,10, Ryu-ichiro Hashimoto5,11, Genichi Sugihara3, Takayuki Obata12, Ming-Rong Zhang13, Tetsuya Suhara1, Motoaki Nakamura5,14, Nobumasa Kato5, Yuhei Takado1, Hidehiko Takahashi3,15, and Makoto Higuchi1
1Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 2Department of Psychiatry, Nara Medical University, Kashihara, Japan, 3Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan, 4Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 5Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan, 6Institute of Applied Brain Sciences, Waseda University, Tokorozawa, Japan, 7School of Human and Social Sciences, Tokyo International University, Kawagoe, Japan, 8Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan, 9Center for integrated human brain science, Brain Research Institute, Niigata University, Niigata, Japan, 10Department of Psychiatry, School of Medicine, Showa University, Tokyo, Japan, 11Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan, 12Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 13Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 14Kanagawa Psychiatric Center, Yokohama, Japan, 15Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan
Synopsis
Keywords: Psychiatric Disorders, Psychiatric Disorders
We
conducted
MRS and PET to examine if enhanced excitatory tones occur and
correlate with astroglial activations and/or diminished dopaminergic suppression
of astrocytic functions in autism spectrum disorder (ASD) cases.
MRS revealed elevated
glutamate and glutamine levels associated with astroglial activation in ASD
versus control anterior cingulate cortex, while there were also inverse
correlations between glutamine levels and dopamine D1 receptor availability in this area of both ASD cases and controls.
Hence, dopamine transmissions may repress astroglial glutamine synthesis
independently of the ASD etiology, while astroglial activation in ASD could
elicit augmented
glutamate synthesis and consequent excitation of neuronal
tones.
INTRODUCTION
Autism spectrum disorder (ASD) is
characterized by deficits in social communication and interaction and restricted
interest, and repetitive behaviors. An increased excitation-inhibition
ratio of neuronal tones has been implicated in ASD at a non-clinical level,1, 2 while unequivocal
clinical evidence for this alteration and its underlying mechanisms remains to
be acquired. Enhanced glutamate (Glu) signals may arise from enhanced excitatory
glutamatergic circuits, which can be affected by the activation of astrocytes
and suppressive signaling downstream to dopamine neurotransmission.3 We
aimed to examine our hypothetical view that astrocytic activation and
dopaminergic dysfunctions were involved in the etiology of ASD.METHODS
We enrolled 28 male subjects consisting of 18 ASD cases
and 20 typically developed (TD) individuals. We assessed the autistic
traits using the Autism Spectrum Quotient (AQ). All MRI and MRS examinations
were performed with a 3T scanner. They
underwent MRS to evaluate levels of Glu, glutamine (Gln), gamma-aminobutyrate
(GABA), and a marker of astroglial activity, myo-inositol (mI). We
acquired MRS data with a semi-adiabatic spin-echo full-intensity acquired
localized (SPECIAL) sequence4 (TR/ TE/ average
= 3000 ms / 8.5 ms / 128). We also obtained
a 3D volumetric acquisition of a T1-weighted gradient-echo sequence for
anatomical images of the voxels of interest (VOIs). VOIs (30 × 20 × 20 mm3)
were localized to the anterior
cingulate cortex (ACC), where
disrupted structural5 and functional6 properties were reported in the ASD
subjects (Figure 1). We analyzed MRS data using linear combination model
(LCModel) software and corrected metabolite concentrations by segmenting gray
matter (GM), white matter (WM), and cerebrospinal fluid (CSF) in the voxel VOI.
Spectral SNR and linewidth were 76.6 ± 9.1, 0.028 ± 0.004 ppm. We examined PET scans with a specific dopamine D1
receptor radioligand, 11C-SCH23390, as reported previously.7 The binding of 11C-SCH23390 to
DA D1Rs was quantified as non-displaced tissue (BPND). We
applied independent sample t-tests and χ2-tests for the statistical
examination of differences, and Pearson correlation or Spearman’s partial
rank-order correlation analysis to test correlations. This study was approved
by the institutional review boards and written informed consents were obtained
from all participants.RESULTS
There were no significant differences in age and
intelligence quotient in the two groups. We found significant increases of Glu
(P = 0.045), Gln (P = 0.044), and mI (P = 0.030) levels in the ACC in
individuals with ASD relative to those with TD (Figure 2). There were no
significant differences in the ACC GABA levels between the ASD and TD groups (P
= 0.44). We found significant positive correlations between mI and Gln levels
in the ACC of individuals with ASD (r = 0.54, P = 0.020) but not TD subjects (r
= 0.091, P = 0.70) (Figure 3). We also found significant positive correlations of AQ attention switching subscale score with Gln
(r = 0.48, P = 0.045) and mI (r = 0.51, P = 0.029) levels in the ACC of individuals
with ASD (Figure 4). As reported previously7, radioligand binding to DA D1Rs did not
significantly differ between the ASD and TD groups (mean [SD], 0.36 [0.06] and
0.38 [0.07] in ASD and TD groups, respectively). We found significant negative
correlations between DA D1R binding and Gln levels in the ACC of individuals
with ASD (r = −0.55, P = 0.022) and TD (r = −0.58, P = 0.008) (Figure 5). By
contrast, there were significant correlations of DA D1R binding with mI and Glu
levels in the ACC of individuals with neither ASD nor TD (P > 0.05).DISCUSSION and CONCLUSION
In
the current study, the SPECIAL sequence allowed us to evaluate Glu, Gln, and
GABA levels separately and concurrently. This advanced MRS protocol clarified
the elevated Glu and Gln levels, presumably reflecting enhanced excitatory
neural tones in the ACC, in line with the evidence of the neural
hyperexcitability of ASD.1, 2 We also found
that ASD individuals presented increased levels of mI in the ACC, which is also
in support of the hypothesized contribution of altered astroglial functions to
the pathogenesis of ASD.8 Astrocytes play a
critical role in Gln synthesis via an astrocyte-specific enzyme.9 Correspondently,
the increased mI levels were correlated with Gln levels in the ACC of ASD
individuals, implying that reactive astrocytes were associated with an increase in Gln synthesis in ASD. The autistic profile
of attentional switching was associated with Gln and mI levels in the ACC,
where neural activity was implicated in attentional controls.10 Additionally, both
ASD and TD subjects exhibited a negative correlation of DA D1R bindings with
Gln but not mI levels in the ACC, which may support the notion that the DA D1R signaling
is involved in the Gln metabolism but is not specifically altered in ASD. As
previous animal studies suggested suppressive roles of dopaminergic
transmissions in the Gln synthesis3, 11, 12, we postulate
that the modulation of Gln levels by D1R signaling is a physiological mechanism
preserved in the ASD brains. Collectively, reactive astrogliosis might reinforce
Gln synthesis and consequent excitatory tones in a manner independent of the
inhibitory functions of dopaminergic transmissions in the ASD ACC.Acknowledgements
We thank the staff
of the Clinical Research Section for their assistance as clinical coordinators,
the staff of Department of Molecular Imaging and Theranostics for their support
with MRI scans, the PET
and MRI operators including Takasama Maeda for their imaging scans, the
staff of the Department of Radiopharmaceutics Development for the radioligand
synthesis, Atsuo Waki and his team for quality assurance of the radioligands,
and Takashi Horiguchi for his assistance as research administrator, Jamie Near
for his assistance of MRS protocol of SPECIAL sequence. We also wish to extend
our gratitude to the research team of the Medical Institute of Developmental
Disabilities Research at Showa University for their assistance in data
acquisition.
The Joint Usage/Research Program of the Medical Institute of
Developmental Disabilities Research, Showa University; SENSHIN Medical Research
Foundation; the Japan Society for the Promotion of Science (a Grant-in-Aid for
Young Scientists, 19K17101 to M.K.); MEXT KAKENHI grant numbers 19H01041; and
the Japan Agency for Medical Research and Development (the program for
Brain/MINDS-beyond, 22dm0307105h0304, 22dk0207063h0001).
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