Literature DB >> 29754444

Peptidome Analysis Reveals Novel Serum Biomarkers for Children with Autism Spectrum Disorder in China.

Juan Yang1,2, Yanni Chen3, Xiaofan Xiong1, Xiaobo Zhou2, Lin Han1, Lei Ni1, Wenjing Wang4, Xiaofei Wang1, Lingyu Zhao1, Dongdong Shao3, Chen Huang1.   

Abstract

PURPOSE: Autism spectrum disorder (ASD) is a neurological and developmental disorder that begins early in childhood and lasts throughout one's life. Early diagnosis is essential for ASD since early treatment can enable children with ASD to make significant gains in language and social skills, but remains challenging since there are currently no specific biomarkers of ASD. This study is aimed to identify serum biomarkers for ASD. EXPERIMENTAL
DESIGN: Serum of Han Chinese children with ASD (n = 68) and age-matched healthy controls (n = 80) is analyzed using magnetic bead-based separation combined with mass spectrum.
RESULTS: Eight potential ASD serum biomarker peaks (m/z: 3886.69, 7775.12, 2381.71, 6638.63, 3319.17, 894.34, 4968.59, and 5910.53) with higher expression in ASD group are further identified as peptide regions of plasma serine protease inhibitor precursor (SERPINA5), platelet factor 4 (PF4), fatty acid binding protein 1(FABP1), apolipoprotein C-I precursor (APOC1), alpha-fetoprotein precursor (AFP), carboxypeptidase B2 (CPB2), trace amine-associated receptor 6 (TAAR6), and isoform1 of fibrinogen alpha chain precursor (FGA). The expression of identified proteins is validated by enzyme-linked immunosorbent assay (ELISA). CONCLUSIONS AND MEDICAL RELEVANCE: These findings reveal the exceptional disease etiology of ASD from a serum proteomic perspective, and the identified proteins might be potential biomarkers for ASD diagnosis.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  ASD; early diagnosis; mass spectrum; serum biomarker

Mesh:

Substances:

Year:  2018        PMID: 29754444     DOI: 10.1002/prca.201700164

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  7 in total

1.  Sex-Specific Social Behavior and Amygdala Proteomic Deficits in Foxp2 +/- Mutant Mice.

Authors:  Maria Jesus Herrero; Li Wang; David Hernandez-Pineda; Payal Banerjee; Heidi Y Matos; Meredith Goodrich; Aswini Panigrahi; Nathan Anthony Smith; Joshua G Corbin
Journal:  Front Behav Neurosci       Date:  2021-08-05       Impact factor: 3.558

2.  Variability of multi-omics profiles in a population-based child cohort.

Authors:  Marta Gallego-Paüls; Carles Hernández-Ferrer; Mariona Bustamante; Xavier Basagaña; Jose Barrera-Gómez; Chung-Ho E Lau; Alexandros P Siskos; Marta Vives-Usano; Carlos Ruiz-Arenas; John Wright; Remy Slama; Barbara Heude; Maribel Casas; Regina Grazuleviciene; Leda Chatzi; Eva Borràs; Eduard Sabidó; Ángel Carracedo; Xavier Estivill; Jose Urquiza; Muireann Coen; Hector C Keun; Juan R González; Martine Vrijheid; Léa Maitre
Journal:  BMC Med       Date:  2021-07-22       Impact factor: 8.775

3.  Molecular Variants in Human Trace Amine-Associated Receptors and Their Implications in Mental and Metabolic Disorders.

Authors:  Grazia Rutigliano; Riccardo Zucchi
Journal:  Cell Mol Neurobiol       Date:  2019-10-23       Impact factor: 5.046

Review 4.  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

5.  Plasma Proteome Profiling of Patients With In-stent Restenosis by Tandem Mass Tag-Based Quantitative Proteomics Approach.

Authors:  Jingyuan Hou; Qiaoting Deng; Sudong Liu; Xiaohong Qiu; Xunwei Deng; Wei Zhong; Zhixiong Zhong
Journal:  Front Cardiovasc Med       Date:  2022-02-21

Review 6.  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

7.  Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58.

Authors:  Xusu Wang; Guangquan Liu; Na Sheng; Mi Zhang; Xinxing Pan; Siyu Liu; Ke Huang; Yu Cong; Qing Xu; Xuemei Jia; Juan Xu
Journal:  Ann Transl Med       Date:  2020-08
  7 in total

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