ArticleScientific reports2016
Knowledge-Guided Bioinformatics Model for Identifying Autism Spectrum Disorder Diagnostic MicroRNA Biomarkers.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- A systematic review of non-coding RNA genes with differential expression profiles associated with autism spectrum disorders.PloS one · 2023Pooled it
- Potential of Salivary Biomarkers in Autism Research: A Systematic Review.International journal of molecular sciences · 2021Pooled it
- MicroRNAs as Regulators, Biomarkers, and Therapeutic Targets in Autism Spectrum Disorder.Molecular neurobiology · 2025Review
- Modelling cell type-specific lncRNA regulatory network in autism with Cycle.BMC bioinformatics · 2024Article
- Exploring key genes and pathways associated with sex differences in autism spectrum disorder: integrated bioinformatic analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Fetal Brain-Derived Exosomal miRNAs from Maternal Blood: Potential Diagnostic Biomarkers for Fetal Alcohol Spectrum Disorders (FASDs).International journal of molecular sciences · 2024Article
- Spatiotemporal expression and coexpression patterns of SRPK1 in the human brain: A neurodevelopmental perspective.Brain and behavior · 2024Article
- Biomarker prediction in autism spectrum disorder using a network-based approach.BMC medical genomics · 2023Article
- Machine Learning-Based Blood RNA Signature for Diagnosis of Autism Spectrum Disorder.International journal of molecular sciences · 2023Article
- iPSC-Derived Macrophages: The Differentiation Protocol Affects Cell Immune Characteristics and Differentiation Trajectories.International journal of molecular sciences · 2022Article
- Identification of potential microRNA diagnostic panels and uncovering regulatory mechanisms in breast cancer pathogenesis.Scientific reports · 2022Article
- Cataloging recent advances in epigenetic alterations in major mental disorders and autism.Epigenomics · 2021Article
- The fourth scientific discovery paradigm for precision medicine and healthcare: Challenges ahead.Precision clinical medicine · 2021Article
- Identification of miRNA-mRNA Network in Autism Spectrum Disorder Using a Bioinformatics Method.Journal of molecular neuroscience : MN · 2021Article
- Neuroprotective Effect of α-Mangostin in the Ameliorating Propionic Acid-Induced Experimental Model of Autism in Wistar Rats.Brain sciences · 2021Article
- The Combination of Tradition and Future: Data-Driven Natural-Product-Based Treatments for Parkinson's Disease.Evidence-based complementary and alternative medicine : eCAM · 2021Review
- Recent Progress on Relevant microRNAs in Autism Spectrum Disorders.International journal of molecular sciences · 2020Review
- Systems biology comprehensive analysis on breast cancer for identification of key gene modules and genes associated with TNM-based clinical stages.Scientific reports · 2020Article
- MicroRNAs and Child Neuropsychiatric Disorders: A Brief Review.Neurochemical research · 2020Review
- ASDmiR: A Stepwise Method to Uncover miRNA Regulation Related to Autism Spectrum Disorder.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.