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Preliminary evaluation of potential urinary organic acid biomarkers with mass spectrometry in children with autism spectrum disorder / Erdim SERTOGLU in Research in Autism Spectrum Disorders, 106 (August 2023)
[article]
Titre : Preliminary evaluation of potential urinary organic acid biomarkers with mass spectrometry in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Erdim SERTOGLU, Auteur ; Ahmet Rifat BALIK, Auteur ; Umut Goktan DUMAN, Auteur ; Murat Emrah MAVIS, Auteur ; Mutluay ARSLAN, Auteur ; Yilmaz YILDIZ, Auteur ; Janserey BATU, Auteur ; Asburce OLGAC, Auteur ; Özlem HEKIM, Auteur Année de publication : 2023 Article en page(s) : 102198 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Urinary organic acids Mass spectrometry Metabolomics Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting brain functions in which qualitative and quantitative problems in communication and behavior are accompanied by restricted interest and repetitive behaviors. There is no laboratory method, or a special test used to diagnose ASD. Here we aimed to report the analysis of the urinary metabolic signatures of ASD patients and healthy subjects to compare the significant changes in the main components of metabolic pathways. Method A total of 85 male subjects, 42 patients and 43 controls, aged 3-18 years, were included in the study. Urine organic acid levels were analyzed by both GC-MS and LC-MS/MS and the results were recorded. The results obtained were statistically evaluated between the patient and control groups. Results Certain metabolites involved in branched-chain amino acid metabolism, aromatic amino acid metabolism, tricarboxylic acid cycle, and glycolysis metabolites were found to be significantly reduced in the patient group compared to controls. Conclusions Our study is the first in the literature in terms of evaluating both GC-MS and LC-MS/MS together and revealing the general map of metabolism. In addition to revealing some new metabolites in ASD patients, it is also important in terms of summarizing which main pathways these metabolites play a role in. Today, with the widespread use of devices that measure with high sensitivity and provide the opportunity to evaluate many analytes at the same time, it will be possible to reveal the pathology of diseases more accurately such as ASD whose etiopathogenesis has not been fully revealed. En ligne : https://doi.org/10.1016/j.rasd.2023.102198 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509
in Research in Autism Spectrum Disorders > 106 (August 2023) . - 102198[article] Preliminary evaluation of potential urinary organic acid biomarkers with mass spectrometry in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Erdim SERTOGLU, Auteur ; Ahmet Rifat BALIK, Auteur ; Umut Goktan DUMAN, Auteur ; Murat Emrah MAVIS, Auteur ; Mutluay ARSLAN, Auteur ; Yilmaz YILDIZ, Auteur ; Janserey BATU, Auteur ; Asburce OLGAC, Auteur ; Özlem HEKIM, Auteur . - 2023 . - 102198.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 106 (August 2023) . - 102198
Mots-clés : Autism spectrum disorder Urinary organic acids Mass spectrometry Metabolomics Index. décimale : PER Périodiques Résumé : Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting brain functions in which qualitative and quantitative problems in communication and behavior are accompanied by restricted interest and repetitive behaviors. There is no laboratory method, or a special test used to diagnose ASD. Here we aimed to report the analysis of the urinary metabolic signatures of ASD patients and healthy subjects to compare the significant changes in the main components of metabolic pathways. Method A total of 85 male subjects, 42 patients and 43 controls, aged 3-18 years, were included in the study. Urine organic acid levels were analyzed by both GC-MS and LC-MS/MS and the results were recorded. The results obtained were statistically evaluated between the patient and control groups. Results Certain metabolites involved in branched-chain amino acid metabolism, aromatic amino acid metabolism, tricarboxylic acid cycle, and glycolysis metabolites were found to be significantly reduced in the patient group compared to controls. Conclusions Our study is the first in the literature in terms of evaluating both GC-MS and LC-MS/MS together and revealing the general map of metabolism. In addition to revealing some new metabolites in ASD patients, it is also important in terms of summarizing which main pathways these metabolites play a role in. Today, with the widespread use of devices that measure with high sensitivity and provide the opportunity to evaluate many analytes at the same time, it will be possible to reveal the pathology of diseases more accurately such as ASD whose etiopathogenesis has not been fully revealed. En ligne : https://doi.org/10.1016/j.rasd.2023.102198 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509 Environmental Influences on Biochemistry in Autism Spectrum Disorder / Kelly L. WORMWOOD in Autism - Open Access, 4-3 ([01/06/2014])
[article]
Titre : Environmental Influences on Biochemistry in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Kelly L. WORMWOOD, Auteur ; Emmalyn J. DUPREE, Auteur ; Costel C. DARIE, Auteur ; Alisa G. WOODS, Auteur Article en page(s) : 2 p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Mass spectrometry Proteomics Proteins Index. décimale : PER Périodiques En ligne : https://dx.doi.org/10.4172/2165-7890.1000e123 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=409
in Autism - Open Access > 4-3 [01/06/2014] . - 2 p.[article] Environmental Influences on Biochemistry in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Kelly L. WORMWOOD, Auteur ; Emmalyn J. DUPREE, Auteur ; Costel C. DARIE, Auteur ; Alisa G. WOODS, Auteur . - 2 p.
Langues : Anglais (eng)
in Autism - Open Access > 4-3 [01/06/2014] . - 2 p.
Mots-clés : Autism spectrum disorder Mass spectrometry Proteomics Proteins Index. décimale : PER Périodiques En ligne : https://dx.doi.org/10.4172/2165-7890.1000e123 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=409 Proteomic explorations of autism spectrum disorder / Nicholas SZOKO in Autism Research, 10-9 (September 2017)
[article]
Titre : Proteomic explorations of autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Nicholas SZOKO, Auteur ; Adam J. MCSHANE, Auteur ; Marvin R. NATOWICZ, Auteur Article en page(s) : p.1460-1469 Langues : Anglais (eng) Mots-clés : autism autistic proteomic proteomics mass spectrometry neuroproteomics Index. décimale : PER Périodiques Résumé : Proteomics, the large-scale study of protein expression in cells and tissues, is a powerful tool to study the biology of clinical conditions and has provided significant insights in many experimental systems. Herein, we review the basics of proteomic methodology and discuss challenges in using proteomic approaches to study autism. Unlike other experimental approaches, such as genomic approaches, there have been few large-scale studies of proteins in tissues from persons with autism. Most of the proteomic studies on autism used blood or other peripheral tissues; few studies used brain tissue. Some studies found dysregulation of aspects of the immune system or of aspects of lipid metabolism, but no consistent findings were noted. Based on the challenges in using proteomics to study autism, we discuss considerations for future studies. Apart from the complex technical considerations implicit in any proteomic analysis, key nontechnical matters include attention to subject and specimen inclusion/exclusion criteria, having adequate sample size to ensure appropriate powering of the study, attention to the state of specimens prior to proteomic analysis, and the use of a replicate set of specimens, when possible. We conclude by discussing some potentially productive uses of proteomics, potentially coupled with other approaches, for future autism research including: (1) proteomic analysis of banked human brain specimens; (2) proteomic analysis of tissues from animal models of autism; and (3) proteomic analysis of induced pluripotent stem cells that are differentiated into various types of brain cells and neural organoids. En ligne : http://dx.doi.org/10.1002/aur.1803 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=320
in Autism Research > 10-9 (September 2017) . - p.1460-1469[article] Proteomic explorations of autism spectrum disorder [Texte imprimé et/ou numérique] / Nicholas SZOKO, Auteur ; Adam J. MCSHANE, Auteur ; Marvin R. NATOWICZ, Auteur . - p.1460-1469.
Langues : Anglais (eng)
in Autism Research > 10-9 (September 2017) . - p.1460-1469
Mots-clés : autism autistic proteomic proteomics mass spectrometry neuroproteomics Index. décimale : PER Périodiques Résumé : Proteomics, the large-scale study of protein expression in cells and tissues, is a powerful tool to study the biology of clinical conditions and has provided significant insights in many experimental systems. Herein, we review the basics of proteomic methodology and discuss challenges in using proteomic approaches to study autism. Unlike other experimental approaches, such as genomic approaches, there have been few large-scale studies of proteins in tissues from persons with autism. Most of the proteomic studies on autism used blood or other peripheral tissues; few studies used brain tissue. Some studies found dysregulation of aspects of the immune system or of aspects of lipid metabolism, but no consistent findings were noted. Based on the challenges in using proteomics to study autism, we discuss considerations for future studies. Apart from the complex technical considerations implicit in any proteomic analysis, key nontechnical matters include attention to subject and specimen inclusion/exclusion criteria, having adequate sample size to ensure appropriate powering of the study, attention to the state of specimens prior to proteomic analysis, and the use of a replicate set of specimens, when possible. We conclude by discussing some potentially productive uses of proteomics, potentially coupled with other approaches, for future autism research including: (1) proteomic analysis of banked human brain specimens; (2) proteomic analysis of tissues from animal models of autism; and (3) proteomic analysis of induced pluripotent stem cells that are differentiated into various types of brain cells and neural organoids. En ligne : http://dx.doi.org/10.1002/aur.1803 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=320