Knowledge-Guided Bioinformatics Model for Identifying Autism Spectrum Disorder Diagnostic MicroRNA Biomarkers

Overview

Journal Sci Rep

Specialty Science

Date 2016 Dec 22

PMID 28000768

Citations 28

Authors

Li Shen

Yuxin Lin

Zhandong Sun

Xuye Yuan

Luonan Chen

Bairong Shen

Affiliations

Soon will be listed here.

Abstract

Autism spectrum disorder (ASD) is a severe neurodevelopmental disease with a high incidence and effective biomarkers are urgently needed for its diagnosis. A few previous studies have reported the detection of miRNA biomarkers for autism diagnosis, especially those based on bioinformatics approaches. In this study, we developed a knowledge-guided bioinformatics model for identifying autism miRNA biomarkers. We downloaded gene expression microarray data from the GEO Database and extracted genes with expression levels that differed in ASD and the controls. We then constructed an autism-specific miRNA-mRNA network and inferred candidate autism biomarker miRNAs based on their regulatory modes and functions. We defined a novel parameter called the autism gene percentage as autism-specific knowledge to further facilitate the identification of autism-specific biomarker miRNAs. Finally, 11 miRNAs were screened as putative autism biomarkers, where eight miRNAs (72.7%) were significantly dysregulated in ASD samples according to previous reports. Functional enrichment results indicated that the targets of the identified miRNAs were enriched in autism-associated pathways, such as Wnt signaling (in KEGG and IPA), cell cycle (in KEGG), and glioblastoma multiforme signaling (in IPA), thereby supporting the predictive power of our model.

Citing Articles

MicroRNAs as Regulators, Biomarkers, and Therapeutic Targets in Autism Spectrum Disorder.

Yao T, Chen L, Du Y, Jiang Z, Cheng Y Mol Neurobiol. 2024; 62(4):5039-5056.

PMID: 39503812 DOI: 10.1007/s12035-024-04582-x.

Modelling cell type-specific lncRNA regulatory network in autism with Cycle.

Xiong C, Zhang M, Yang H, Wei X, Zhao C, Zhang J BMC Bioinformatics. 2024; 25(1):307.

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Fetal Brain-Derived Exosomal miRNAs from Maternal Blood: Potential Diagnostic Biomarkers for Fetal Alcohol Spectrum Disorders (FASDs).

Darbinian N, Hampe M, Martirosyan D, Bajwa A, Darbinyan A, Merabova N Int J Mol Sci. 2024; 25(11).

PMID: 38892014 PMC: 11172088. DOI: 10.3390/ijms25115826.

Exploring key genes and pathways associated with sex differences in autism spectrum disorder: integrated bioinformatic analysis.

Nautiyal H, Jaiswar A, Kumar Jha P, Dwivedi S Mamm Genome. 2024; 35(2):280-295.

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Wang J, Roy S, Xu Y Brain Behav. 2024; 14(1):e3341.

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