Evidence map›Paper›PMID 31427037›Full record

ArticleBiological psychiatry2020

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

Joseph O'Neill, Ravi Bansal, Suzanne Goh, Martina Rodie, Siddhant Sawardekar, Bradley S Peterson

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  8. Sex and gender in neurodevelopmental conditions.Nature reviews. Neurology · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Joseph O'NeillDivision of Child and Adolescent Psychiatry, Jane and Terry Semel Institute for Neuroscience, University of California, Los Angeles, California. Electronic address: joneill@mednet.ucla.edu.
Ravi BansalInstitute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California.
Suzanne GohDivision of Child Neurology, Rady Children's Hospital, University of California, San Diego, San Diego, California.
Martina RodieSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, United Kingdom.
Siddhant SawardekarInstitute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California.
Bradley S PetersonInstitute for the Developing Mind, the Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California. Electronic address: bpeterson@chla.usc.edu.
University of Southern California · USUniversity of California, Los Angeles · USUniversity of California San Diego · USUniversity of Glasgow · GB

Funding

Identifying Brain-Based Biomarkers for ASD & their Biological SubtypesR01MH089582 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI PETERSON, BRADLEY S · 2009 to 2010
$2.4M
NIMH NIH HHS R01 MH089582
6 · The paper itself

Abstract

backgroundDespite 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.

methodsWe 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.

resultsEffects 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.

conclusionsResults 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.

Indexed as

Autism Spectrum DisorderAdultBrainChildCholineFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleCholineAgeAutismIntelligenceMagnetic resonance spectroscopySexSymptom domains

Identifiers

PMID31427037
PMCPMC6925333
OpenAlexW2950200313

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.