Open Access
Open access
Communications Biology, volume 2, issue 1, publication number 234

Metabolome signature of autism in the human prefrontal cortex

Kurochkin Ilia 1
Khrameeva Ekaterina 1, 2
Tkachev Anna 1, 2
Stepanova Vita 1, 2
Vanyushkina Anna 1
Stekolshchikova Elena 1
Li Qian 3
Zubkov Dmitry 1
Shichkova Polina 1
Halene Tobias 4
Willmitzer Lothar 5
Giavalisco Patrick 6
Akbarian S 4
3
 
CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China
4
 
Department of Psychiatry and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA
5
 
Max Planck Institute for Molecular Plant Physiology, Potsdam, Germany
6
 
Max Planck Institute for Biology of Ageing, Cologne, Germany
7
 
Max Planck Institute For Evolutionary Anthropology, Leipzig, Germany
Publication typeJournal Article
Publication date2019-06-21
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor5.9
ISSN23993642
General Biochemistry, Genetics and Molecular Biology
Medicine (miscellaneous)
General Agricultural and Biological Sciences
Abstract
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder with yet incompletely uncovered molecular determinants. Alterations in the abundance of low molecular weight compounds (metabolites) in ASD could add to our understanding of the disease. Indeed, such alterations take place in the urine, plasma and cerebellum of ASD individuals. In this work, we investigated mass-spectrometric signal intensities of 1,366 metabolites in the prefrontal cortex grey matter of 32 ASD and 40 control individuals. 15% of these metabolites showed significantly different intensities in ASD and clustered in 16 metabolic pathways. Of them, ten pathways were altered in urine and blood of ASD individuals (Fisher test, p < 0.05), opening an opportunity for the design of new diagnostic instruments. Furthermore, metabolic measurements conducted in 40 chimpanzees and 40 macaques showed an excess of metabolite intensity differences unique to humans, supporting the hypothesized disruption of evolutionary novel cortical mechanisms in ASD. Kurochkin, Khrameeva et al. show differences in metabolite intensities within the prefrontal cortex of individuals with autism spectrum disorders (ASD) that converge into 16 cellular pathways. Parallel measurements conducted in primates also revealed unique metabolite intensity differences unique to humans, highlighting unique evolutionary cortical mechanism in ASD.

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Kurochkin I. et al. Metabolome signature of autism in the human prefrontal cortex // Communications Biology. 2019. Vol. 2. No. 1. 234
GOST all authors (up to 50) Copy
Kurochkin I., Khrameeva E., Tkachev A., Stepanova V., Vanyushkina A., Stekolshchikova E., Li Q., Zubkov D., Shichkova P., Halene T., Willmitzer L., Giavalisco P., Akbarian S., Khaitovich P. Metabolome signature of autism in the human prefrontal cortex // Communications Biology. 2019. Vol. 2. No. 1. 234
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RIS Copy
TY - JOUR
DO - 10.1038/s42003-019-0485-4
UR - https://doi.org/10.1038%2Fs42003-019-0485-4
TI - Metabolome signature of autism in the human prefrontal cortex
T2 - Communications Biology
AU - Kurochkin, Ilia
AU - Khrameeva, Ekaterina
AU - Tkachev, Anna
AU - Stepanova, Vita
AU - Vanyushkina, Anna
AU - Stekolshchikova, Elena
AU - Li, Qian
AU - Zubkov, Dmitry
AU - Shichkova, Polina
AU - Halene, Tobias
AU - Willmitzer, Lothar
AU - Giavalisco, Patrick
AU - Akbarian, S
AU - Khaitovich, Philipp
PY - 2019
DA - 2019/06/21 00:00:00
PB - Springer Nature
IS - 1
VL - 2
PMID - 31263778
SN - 2399-3642
ER -
BibTex
Cite this
BibTex Copy
@article{2019_Kurochkin,
author = {Ilia Kurochkin and Ekaterina Khrameeva and Anna Tkachev and Vita Stepanova and Anna Vanyushkina and Elena Stekolshchikova and Qian Li and Dmitry Zubkov and Polina Shichkova and Tobias Halene and Lothar Willmitzer and Patrick Giavalisco and S Akbarian and Philipp Khaitovich},
title = {Metabolome signature of autism in the human prefrontal cortex},
journal = {Communications Biology},
year = {2019},
volume = {2},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1038%2Fs42003-019-0485-4},
number = {1},
doi = {10.1038/s42003-019-0485-4}
}
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