Literature DB >> 35348996

A Combined Proteomics and Metabolomics Profiling to Investigate the Genetic Heterogeneity of Autistic Children.

Yuxi Zhao1, Xueshan Cao2, Liming Shen3, Huajie Zhang3,4, Jing Lin3,5, Yan Gao6, Margy Chen7, Naseer Ullah Khan3, Xiaoxiao Tang3, Qi Hong6, Chengyun Feng6.   

Abstract

Autism spectrum disorder (ASD) has become one of the most common neurological developmental disorders in children. However, the study of ASD diagnostic markers faces significant challenges due to the existence of heterogeneity. In this study, genetic testing was performed on children who were clinically diagnosed with ASD. Children with ASD susceptibility genes and healthy controls were studied. The proteomics of plasma and peripheral blood mononuclear cells (PBMCs) as well as plasma metabolomics were carried out. The results showed that although there was genetic heterogeneity in children with ASD, the differentially expressed proteins (DEPs) in plasma, peripheral blood mononuclear cells, and differential metabolites in plasma could still effectively distinguish autistic children from controls. The mechanism associated with them focuses on several common and previously reported mechanisms of ASD. The biomarkers for ASD diagnosis could be found by taking differentially expressed proteins and differential metabolites into consideration. Integrating omics data, glycerophospholipid metabolism and N-glycan biosynthesis might play a critical role in the pathogenesis of ASD.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Autism spectrum disorder; Biomarker; Heterogeneity; Metabolomics; Peripheral blood mononuclear cells; Plasma; Proteomics

Mesh:

Year:  2022        PMID: 35348996     DOI: 10.1007/s12035-022-02801-x

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  73 in total

Review 1.  Genomics, transcriptomics, proteomics and big data analysis in the discovery of new diagnostic markers and targets for therapy development.

Authors:  Dong Ik Park
Journal:  Prog Mol Biol Transl Sci       Date:  2020-05-13       Impact factor: 3.622

Review 2.  The genetic landscapes of autism spectrum disorders.

Authors:  Guillaume Huguet; Elodie Ey; Thomas Bourgeron
Journal:  Annu Rev Genomics Hum Genet       Date:  2013-07-22       Impact factor: 8.929

Review 3.  The genetics of autism: key issues, recent findings, and clinical implications.

Authors:  Paul El-Fishawy; Matthew W State
Journal:  Psychiatr Clin North Am       Date:  2010-03

Review 4.  Advances in Biomarker Studies in Autism Spectrum Disorders.

Authors:  Liming Shen; Yuxi Zhao; Huajie Zhang; Chengyun Feng; Yan Gao; Danqing Zhao; Sijian Xia; Qi Hong; Javed Iqbal; Xu Kun Liu; Fang Yao
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

Review 5.  An Overview of Autism Spectrum Disorder, Heterogeneity and Treatment Options.

Authors:  Anne Masi; Marilena M DeMayo; Nicholas Glozier; Adam J Guastella
Journal:  Neurosci Bull       Date:  2017-02-17       Impact factor: 5.203

6.  Proteomics Study of Peripheral Blood Mononuclear Cells (PBMCs) in Autistic Children.

Authors:  Liming Shen; Chengyun Feng; Kaoyuan Zhang; Youjiao Chen; Yan Gao; Junyan Ke; Xinqian Chen; Jing Lin; Cuihua Li; Javed Iqbal; Yuxi Zhao; Weibin Wang
Journal:  Front Cell Neurosci       Date:  2019-03-19       Impact factor: 5.505

7.  Oxidative stress marker aberrations in children with autism spectrum disorder: a systematic review and meta-analysis of 87 studies (N = 9109).

Authors:  Lei Chen; Xiao-Jie Shi; Hua Liu; Xiao Mao; Lue-Ning Gui; Hua Wang; Yong Cheng
Journal:  Transl Psychiatry       Date:  2021-01-05       Impact factor: 6.222

8.  Resolving genomic disorder-associated breakpoints within segmental DNA duplications using massively parallel sequencing.

Authors:  Xander Nuttle; Andy Itsara; Jay Shendure; Evan E Eichler
Journal:  Nat Protoc       Date:  2014-05-29       Impact factor: 13.491

9.  Redox metabolism abnormalities in autistic children associated with mitochondrial disease.

Authors:  R E Frye; R Delatorre; H Taylor; J Slattery; S Melnyk; N Chowdhury; S J James
Journal:  Transl Psychiatry       Date:  2013-06-18       Impact factor: 6.222

10.  Biomarker Exploration in Human Peripheral Blood Mononuclear Cells for Monitoring Sulforaphane Treatment Responses in Autism Spectrum Disorder.

Authors:  Hua Liu; Andrew W Zimmerman; Kanwaljit Singh; Susan L Connors; Eileen Diggins; Katherine K Stephenson; Albena T Dinkova-Kostova; Jed W Fahey
Journal:  Sci Rep       Date:  2020-04-02       Impact factor: 4.379

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