Literature DB >> 31427037

Parsing the Heterogeneity of Brain Metabolic Disturbances in Autism Spectrum Disorder.

Joseph O'Neill1, Ravi Bansal2, Suzanne Goh3, Martina Rodie4, Siddhant Sawardekar2, Bradley S Peterson5.   

Abstract

BACKGROUND: Despite rising prevalence of autism spectrum disorder (ASD), its brain bases remain uncertain. Abnormal levels of N-acetyl compounds, glutamate+glutamine, creatine+phosphocreatine, or choline compounds measured by proton magnetic resonance spectroscopy suggest that neuron or glial density, mitochondrial energetic metabolism, and/or inflammation contribute to ASD neuropathology. The neuroanatomic distribution of these metabolites could help evaluate leading theories of ASD. However, most prior magnetic resonance spectroscopy studies had small samples (all <60, most <20), interrogated only a small fraction of the brain, and avoided assessing effects of age, sex, and IQ.
METHODS: We acquired near-whole-brain magnetic resonance spectroscopy of N-acetyl compounds, glutamate+glutamine, creatine+phosphocreatine, and choline compounds in 78 children and adults with ASD and 96 typically developing children and adults, rigorously evaluating effects of diagnosis and severity on metabolites, as moderated by age, sex, and IQ.
RESULTS: Effects of ASD and its severity included reduced levels of multiple metabolites in white matter and the perisylvian cortex and elevated levels in the posterior cingulate, consistent with white matter and social-brain theories of ASD. Regionally, both slower and faster decreases of metabolites with age were observed in ASD versus TD. Male-female metabolite differences were widely smaller in ASD than typically developing children and adults. ASD-specific decreases in metabolites with decreasing IQ occurred in several brain areas.
CONCLUSIONS: Results support multifocal abnormal neuron or glial density, mitochondrial energetics, or neuroinflammation in ASD, alongside widespread starkly atypical moderating effects of age, sex, and IQ. These findings help parse the neurometabolic signature for ASD by phenotypic heterogeneity.
Copyright © 2019 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age; Autism; Intelligence; Magnetic resonance spectroscopy; Sex; Symptom domains

Year:  2019        PMID: 31427037      PMCID: PMC6925333          DOI: 10.1016/j.biopsych.2019.06.010

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  77 in total

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Journal:  Nat Rev Neurosci       Date:  2006-04       Impact factor: 34.870

2.  Metabolite alterations in autistic children: a 1H MR spectroscopy study.

Authors:  B Kubas; W Kułak; W Sobaniec; E Tarasow; U Lebkowska; J Walecki
Journal:  Adv Med Sci       Date:  2012-06-01       Impact factor: 3.287

Review 3.  Choline, a precursor of acetylcholine and phospholipids in the brain.

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4.  Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates.

Authors:  Lauren E Libero; Thomas P DeRamus; Adrienne C Lahti; Gopikrishna Deshpande; Rajesh K Kana
Journal:  Cortex       Date:  2015-03-03       Impact factor: 4.027

Review 5.  Decreased left perisylvian GABA concentration in children with autism and unaffected siblings.

Authors:  Donald C Rojas; Debra Singel; Sarah Steinmetz; Susan Hepburn; Mark S Brown
Journal:  Neuroimage       Date:  2013-01-28       Impact factor: 6.556

Review 6.  Brain development in autism: early overgrowth followed by premature arrest of growth.

Authors:  Eric Courchesne
Journal:  Ment Retard Dev Disabil Res Rev       Date:  2004

7.  Molecular identification of aspartate N-acetyltransferase and its mutation in hypoacetylaspartia.

Authors:  Elsa Wiame; Donatienne Tyteca; Nathalie Pierrot; François Collard; Mustapha Amyere; Gaëtane Noel; Jonathan Desmedt; Marie-Cécile Nassogne; Miikka Vikkula; Jean-Noël Octave; Marie-Françoise Vincent; Pierre J Courtoy; Eugen Boltshauser; Emile van Schaftingen
Journal:  Biochem J       Date:  2009-12-14       Impact factor: 3.857

Review 8.  A Comprehensive Review of the (1)H-MRS Metabolite Spectrum in Autism Spectrum Disorder.

Authors:  Talitha C Ford; David P Crewther
Journal:  Front Mol Neurosci       Date:  2016-03-09       Impact factor: 5.639

9.  Neuropathology of the anterior midcingulate cortex in young children with autism.

Authors:  Neha Uppal; Bridget Wicinski; Joseph D Buxbaum; Helmut Heinsen; Christoph Schmitz; Patrick R Hof
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10.  Altered resting perfusion and functional connectivity of default mode network in youth with autism spectrum disorder.

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Journal:  Brain Behav       Date:  2015-06-25       Impact factor: 2.708

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1.  Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.

Authors:  Bradley S Peterson; Jiaqi Liu; Louis Dantec; Courtney Newman; Siddhant Sawardekar; Suzanne Goh; Ravi Bansal
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2.  Neonatal brain metabolite concentrations: Associations with age, sex, and developmental outcomes.

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3.  Abnormal Degree Centrality in Children with Low-Function Autism Spectrum Disorders: A Sleeping-State Functional Magnetic Resonance Imaging Study.

Authors:  Shoujun Xu; Meng Li; Chunlan Yang; Xiangling Fang; Miaoting Ye; Yunfan Wu; Binrang Yang; Wenxian Huang; Peng Li; Xiaofen Ma; Shishun Fu; Yi Yin; Junzhang Tian; Yungen Gan; Guihua Jiang
Journal:  Neuropsychiatr Dis Treat       Date:  2022-07-05       Impact factor: 2.989

4.  Assessment of a combination of plasma anti-histone autoantibodies and PLA2/PE ratio as potential biomarkers to clinically predict autism spectrum disorders.

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5.  Sex Differences in Functional Connectivity of the Salience, Default Mode, and Central Executive Networks in Youth with ASD.

Authors:  Katherine E Lawrence; Leanna M Hernandez; Hilary C Bowman; Namita T Padgaonkar; Emily Fuster; Allison Jack; Elizabeth Aylward; Nadine Gaab; John D Van Horn; Raphael A Bernier; Daniel H Geschwind; James C McPartland; Charles A Nelson; Sara J Webb; Kevin A Pelphrey; Shulamite A Green; Susan Y Bookheimer; Mirella Dapretto
Journal:  Cereb Cortex       Date:  2020-07-30       Impact factor: 5.357

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