Literature DB >> 34537986

Molecular signatures from multi-omics of autism spectrum disorders and schizophrenia.

Jun Nomura1, Matthew Mardo2, Toru Takumi1.   

Abstract

The genetic and phenotypic heterogeneity of autism spectrum disorder (ASD) impedes the unification of multiple biological hypotheses in an attempt to explain the complex features of ASD, such as impaired social communication, social interaction deficits, and restricted and repetitive patterns of behavior. However, recent psychiatric genetic studies have identified numerous risk genes and chromosome loci (copy number variation: CNV) which enable us to analyze at the single gene level and utilize system-level approaches. In this review, we focus on ASD as a major neurodevelopmental disorder and review recent findings mainly from the bioinformatics of omics studies. Additionally, by comparing these data with other major psychiatric disorders, including schizophrenia (SCZ), we identify unique characteristics of both diseases from multiple enrichment, pathway, and protein-protein interaction networks (PPIs) analyses using susceptible genes found in recent large-scale genetic studies. These unified, systematic approaches highlight unique characteristics of both disorders from multiple aspects and demonstrate how convergent pathways can contribute to an understanding of the complex etiology of such neurodevelopmental and neuropsychiatric disorders.
© 2021 International Society for Neurochemistry.

Entities:  

Keywords:  autism spectrum disorder; enrichment analysis; gene ontology; neurodevelopmental disorder; protein-protein interaction network; schizophrenia

Mesh:

Year:  2021        PMID: 34537986     DOI: 10.1111/jnc.15514

Source DB:  PubMed          Journal:  J Neurochem        ISSN: 0022-3042            Impact factor:   5.372


  2 in total

Review 1.  A perspective on molecular signalling dysfunction, its clinical relevance and therapeutics in autism spectrum disorder.

Authors:  Sushmitha S Purushotham; Neeharika M N Reddy; Michelle Ninochka D'Souza; Nilpawan Roy Choudhury; Anusa Ganguly; Niharika Gopalakrishna; Ravi Muddashetty; James P Clement
Journal:  Exp Brain Res       Date:  2022-09-05       Impact factor: 2.064

2.  Assessment of DDAH1 and DDAH2 Contributions to Psychiatric Disorders via In Silico Methods.

Authors:  Alena A Kozlova; Anastasia N Vaganova; Roman N Rodionov; Raul R Gainetdinov; Nadine Bernhardt
Journal:  Int J Mol Sci       Date:  2022-10-07       Impact factor: 6.208

  2 in total

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