Literature DB >> 31857069

Biomarkers in autism spectrum disorders: Current progress.

Liming Shen1, XuKun Liu2, Huajie Zhang2, Jing Lin2, Chengyun Feng3, Javed Iqbal2.   

Abstract

Autism spectrum disorder (ASD) refers to a group of complex neurodevelopmental disorders characterized by social interaction and communication deficits and repetitive and stereotyped behaviors. As the etiology and pathogenesis of the disorder have not yet been elucidated, specific treatment and reliable diagnostic biomarkers are not available. Early behavioral interventions have been shown to substantially improve symptoms in children with ASD. Given the rapidly increasing prevalence of ASD, there is an urgent need to identify related diagnostic biomarkers. Although specific diagnostic markers for ASD have not been identified, the related research has made progress in different aspects. This review summarizes recent findings of the use of genes, proteins, peptides, and metabolites as diagnostic markers for ASD. The associated techniques include genetic testing and proteomic and metabolomic analyses. In addition, some studies have focused on single or several proteins and metabolites. Moreover, transcriptomic analysis, immune disturbances and cytokine may also be used for this purpose. The pathogenesis involving genes, proteins, and metabolites is also discussed here.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autism spectrum disorder; Biomarker; Genetic testing; Metabolomics; Proteomics

Mesh:

Substances:

Year:  2019        PMID: 31857069     DOI: 10.1016/j.cca.2019.12.009

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  12 in total

1.  Trace Element Changes in the Plasma of Autism Spectrum Disorder Children and the Positive Correlation Between Chromium and Vanadium.

Authors:  Jun Zhang; Jing Lin; Xiying Zhao; Fang Yao; Chengyun Feng; Zhijun He; Xueshan Cao; Yan Gao; Naseer Ullah Khan; Margy Chen; Peng Luo; Liming Shen
Journal:  Biol Trace Elem Res       Date:  2022-01-10       Impact factor: 4.081

2.  C1q/TNF-related protein-1: Potential biomarker for early diagnosis of autism spectrum disorder.

Authors:  Hamed Raeisy; Paria Bayati; Farshid Noorbakhsh; Mitra Hakim Shooshtari; Mehrdad Eftekhar Ardebili; Mehdi Shekarabi; Nazanin Mojtabavi
Journal:  Int J Immunopathol Pharmacol       Date:  2022 Jan-Dec       Impact factor: 3.219

3.  Maternal mid-gestational and child cord blood immune signatures are strongly associated with offspring risk of ASD.

Authors:  Xiaoyu Che; Mady Hornig; Michaeline Bresnahan; Camilla Stoltenberg; Per Magnus; Pål Surén; Siri Mjaaland; Ted Reichborn-Kjennerud; Ezra Susser; W Ian Lipkin
Journal:  Mol Psychiatry       Date:  2022-01-05       Impact factor: 13.437

4.  Poly(I:C) Challenge Alters Brain Expression of Oligodendroglia-Related Genes of Adult Progeny in a Mouse Model of Maternal Immune Activation.

Authors:  Xiao-Fan Zhang; Ting Chen; Aifen Yan; Jia Xiao; Yong-Li Xie; Jing Yuan; Pin Chen; Anderson On-Lam Wong; Yang Zhang; Nai-Kei Wong
Journal:  Front Mol Neurosci       Date:  2020-06-30       Impact factor: 5.639

Review 5.  Paving the Way toward Personalized Medicine: Current Advances and Challenges in Multi-OMICS Approach in Autism Spectrum Disorder for Biomarkers Discovery and Patient Stratification.

Authors:  Areej G Mesleh; Sara A Abdulla; Omar El-Agnaf
Journal:  J Pers Med       Date:  2021-01-13

6.  Measuring Exercise-Induced Secreted Protein Acidic and Rich in Cysteine Expression as a Molecular Tool to Optimize Personalized Medicine.

Authors:  Abdelaziz Ghanemi; Mayumi Yoshioka; Jonny St-Amand
Journal:  Genes (Basel)       Date:  2021-11-20       Impact factor: 4.096

7.  Studying Autism Using Untargeted Metabolomics in Newborn Screening Samples.

Authors:  Julie Courraud; Madeleine Ernst; Susan Svane Laursen; David M Hougaard; Arieh S Cohen
Journal:  J Mol Neurosci       Date:  2021-01-30       Impact factor: 3.444

Review 8.  How could metabolomics change pediatric health?

Authors:  Flaminia Bardanzellu; Vassilios Fanos
Journal:  Ital J Pediatr       Date:  2020-03-27       Impact factor: 2.638

Review 9.  Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.

Authors:  Maria Vittoria Ristori; Stefano Levi Mortera; Valeria Marzano; Silvia Guerrera; Pamela Vernocchi; Gianluca Ianiro; Simone Gardini; Giuliano Torre; Giovanni Valeri; Stefano Vicari; Antonio Gasbarrini; Lorenza Putignani
Journal:  Int J Mol Sci       Date:  2020-08-30       Impact factor: 5.923

Review 10.  The Role of Cholesterol and Fatty Acids in the Etiology and Diagnosis of Autism Spectrum Disorders.

Authors:  Cecilia Maria Esposito; Massimiliano Buoli; Valentina Ciappolino; Carlo Agostoni; Paolo Brambilla
Journal:  Int J Mol Sci       Date:  2021-03-29       Impact factor: 5.923

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