Literature DB >> 24210941

Chromatographic techniques coupled with mass spectrometry for the determination of organic acids in the study of autism.

Joanna Kałużna-Czaplińska1, Ewa Zurawicz2, Jagoda Jóźwik2.   

Abstract

Chromatographic methods find application in the diagnostics and prognosis of diseases. They are used in finding new biomarkers, which may result in early medical intervention. Early diagnosis and intervention are especially important in the case of diseases of unknown etiology. One of these is autism. Autism is a neurodevelopmental disorder characterized by severe impairment in reciprocal social interaction and communication and a pattern of repetitive or stereotyped behavior. Organic acids are intermediate metabolites of all major groups of organic cellular components and can play a role in the pathogenesis of autism. This review presents information about abnormal levels of some organic acids observed in the urine of children with autism and determination of acids with the use of chromatographic techniques. 342 literature sources on frequency (2005-2012) of the use of chromatographic methods in the determination of organic compounds in various body fluids were searched.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autism; Chromatographic methods; Mass spectrometry; Organic acids

Mesh:

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Year:  2013        PMID: 24210941     DOI: 10.1016/j.jchromb.2013.10.026

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  3 in total

Review 1.  The Role of Lipidomics in Autism Spectrum Disorder.

Authors:  Afaf El-Ansary; Salvatore Chirumbolo; Ramesa Shafi Bhat; Maryam Dadar; Eiman M Ibrahim; Geir Bjørklund
Journal:  Mol Diagn Ther       Date:  2020-02       Impact factor: 4.074

Review 2.  Focus on the Social Aspect of Autism.

Authors:  Joanna Kałużna-Czaplińska; Ewa Żurawicz; Jagoda Jóźwik-Pruska
Journal:  J Autism Dev Disord       Date:  2018-05

3.  Urinary metabolomics using gas chromatography-mass spectrometry: potential biomarkers for autism spectrum disorder.

Authors:  Zaib Un Nisa Khan; Prem Chand; Hafsa Majid; Sibtain Ahmed; Aysha Habib Khan; Azeema Jamil; Saba Ejaz; Ambreen Wasim; Khaleel Ahmad Khan; Lena Jafri
Journal:  BMC Neurol       Date:  2022-03-17       Impact factor: 2.474

  3 in total

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