Literature DB >> 22960334

Subphenotype-dependent disease markers for diagnosis and personalized treatment of autism spectrum disorders.

Valerie W Hu1.   

Abstract

Autism spectrum disorders (ASD) are a collection of neurodevelopmental disorders that are currently diagnosed solely on the basis of abnormal reciprocal language and social development as well as stereotyped behaviors. Without genetic or molecular markers for screening, individuals with ASD are typically not diagnosed before the age of 2, with milder cases diagnosed much later. Because early diagnosis is tantamount to early behavioral intervention which has been shown to improve individual outcomes, an objective biomarker test that can diagnose at-risk children perinatally is a medical imperative. The rapidly increasing prevalence of ASD in the United States (now estimated at 1 in 88 individuals) also makes early diagnosis and intervention a public health imperative. This article reviews recent genome-wide (genomic) approaches to the identification of disease markers that may be used not only for diagnosis of ASD, but also for the informed development of novel drugs that target specific core symptoms of ASD. Because of the heterogeneity of clinical manifestations associated with the ASD population, this review also addresses the importance of dividing individuals with ASD into clinically relevant subphenotypes in the quest to identify appropriate biomarkers.

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Year:  2012        PMID: 22960334      PMCID: PMC3810690          DOI: 10.3233/DMA-2012-0916

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


  7 in total

1.  Neurophysiological indices of atypical auditory processing and multisensory integration are associated with symptom severity in autism.

Authors:  Alice B Brandwein; John J Foxe; John S Butler; Hans-Peter Frey; Juliana C Bates; Lisa H Shulman; Sophie Molholm
Journal:  J Autism Dev Disord       Date:  2015-01

Review 2.  Autism biomarkers: challenges, pitfalls and possibilities.

Authors:  George M Anderson
Journal:  J Autism Dev Disord       Date:  2015-04

Review 3.  How will DSM-5 affect autism diagnosis? A systematic literature review and meta-analysis.

Authors:  Kristine M Kulage; Arlene M Smaldone; Elizabeth G Cohn
Journal:  J Autism Dev Disord       Date:  2014-08

4.  Phenotypic subgrouping and multi-omics analyses reveal reduced diazepam-binding inhibitor (DBI) protein levels in autism spectrum disorder with severe language impairment.

Authors:  Chatravee Pichitpunpong; Surangrat Thongkorn; Songphon Kanlayaprasit; Wasana Yuwattana; Waluga Plaingam; Siriporn Sangsuthum; Wan Mohd Aizat; Syarul Nataqain Baharum; Tewin Tencomnao; Valerie Wailin Hu; Tewarit Sarachana
Journal:  PLoS One       Date:  2019-03-28       Impact factor: 3.240

Review 5.  Current progress and challenges in the search for autism biomarkers.

Authors:  Irina Voineagu; Hee Jeong Yoo
Journal:  Dis Markers       Date:  2013-07-21       Impact factor: 3.434

6.  Investigation of epigenetic regulatory networks associated with autism spectrum disorder (ASD) by integrated global LINE-1 methylation and gene expression profiling analyses.

Authors:  Chayanin Tangsuwansri; Thanit Saeliw; Surangrat Thongkorn; Weerasak Chonchaiya; Kanya Suphapeetiporn; Apiwat Mutirangura; Tewin Tencomnao; Valerie Wailin Hu; Tewarit Sarachana
Journal:  PLoS One       Date:  2018-07-23       Impact factor: 3.240

7.  Comprehensive literature data-mining analysis reveals a broad genetic network functionally associated with autism spectrum disorder.

Authors:  Cheng Xu; Hongbao Cao; Fuquan Zhang; Chris Cheadle
Journal:  Int J Mol Med       Date:  2018-08-28       Impact factor: 4.101

  7 in total

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