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Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome / Kathryn HOLLOWOOD in Research in Autism Spectrum Disorders, 56 (December 2018)
[article]
Titre : Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome Type de document : Texte imprimé et/ou numérique Auteurs : Kathryn HOLLOWOOD, Auteur ; Stepan MELNYK, Auteur ; Oleksandra PAVLIV, Auteur ; Teresa EVANS, Auteur ; Ashley SIDES, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; William ELMS, Auteur ; Elizabeth GUERRERO, Auteur ; Uwe KRUGER, Auteur ; Juergen HAHN, Auteur ; S. Jill JAMES, Auteur Article en page(s) : p.72-82 Langues : Anglais (eng) Mots-clés : Autism Pregnancy Metabolic profile Folate Transmethylation Transsulfuration Fisher discriminant analysis Index. décimale : PER Périodiques Résumé : Background Currently there is no test for pregnant mothers that can predict the probability of having a child that will be diagnosed with autism spectrum disorder (ASD). Recent estimates indicate that if a mother has previously had a child with ASD, the risk of having a second child with ASD is ?18.7% (High Risk) whereas the risk of ASD in the general population is ?1.7% (Low Risk). Methods In this study, metabolites of the folate-dependent transmethylation and transsulfuration biochemical pathways of pregnant mothers were measured to determine whether or not the risk of having a child with autism could be predicted by her metabolic profile. Pregnant mothers who have had a child with autism before were separated into two groups based on the diagnosis of their child whether the child had autism (ASD) or not (TD). Then these mothers were compared to a group of control mothers who have not had a child with autism before. A total of 107 mothers were in the High Risk category and 25 mothers in the Low Risk category. The High Risk category was further separated into 29 mothers in the ASD group and 78 mothers in the TD group. Results The metabolic results indicated that among High Risk mothers, it was not possible to predict an autism pregnancy outcome. However, the metabolic profile was able to predict with approximately 90% sensitivity and specificity whether a mother fell into the High Risk group (18.7% risk) or Low Risk group (1.7% risk). Conclusions Based upon these measurements it is not possible to determine during a pregnancy if a child will be diagnosed with ASD by age 3. However, differences in the folate-dependent transmethylation and transsulfuration metabolites are indicative of the risk level (High Risk of 18.7% vs. Low Risk of 1.7%) of the mother for having a child with ASD. En ligne : https://doi.org/10.1016/j.rasd.2018.09.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369
in Research in Autism Spectrum Disorders > 56 (December 2018) . - p.72-82[article] Maternal metabolic profile predicts high or low risk of an autism pregnancy outcome [Texte imprimé et/ou numérique] / Kathryn HOLLOWOOD, Auteur ; Stepan MELNYK, Auteur ; Oleksandra PAVLIV, Auteur ; Teresa EVANS, Auteur ; Ashley SIDES, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; William ELMS, Auteur ; Elizabeth GUERRERO, Auteur ; Uwe KRUGER, Auteur ; Juergen HAHN, Auteur ; S. Jill JAMES, Auteur . - p.72-82.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 56 (December 2018) . - p.72-82
Mots-clés : Autism Pregnancy Metabolic profile Folate Transmethylation Transsulfuration Fisher discriminant analysis Index. décimale : PER Périodiques Résumé : Background Currently there is no test for pregnant mothers that can predict the probability of having a child that will be diagnosed with autism spectrum disorder (ASD). Recent estimates indicate that if a mother has previously had a child with ASD, the risk of having a second child with ASD is ?18.7% (High Risk) whereas the risk of ASD in the general population is ?1.7% (Low Risk). Methods In this study, metabolites of the folate-dependent transmethylation and transsulfuration biochemical pathways of pregnant mothers were measured to determine whether or not the risk of having a child with autism could be predicted by her metabolic profile. Pregnant mothers who have had a child with autism before were separated into two groups based on the diagnosis of their child whether the child had autism (ASD) or not (TD). Then these mothers were compared to a group of control mothers who have not had a child with autism before. A total of 107 mothers were in the High Risk category and 25 mothers in the Low Risk category. The High Risk category was further separated into 29 mothers in the ASD group and 78 mothers in the TD group. Results The metabolic results indicated that among High Risk mothers, it was not possible to predict an autism pregnancy outcome. However, the metabolic profile was able to predict with approximately 90% sensitivity and specificity whether a mother fell into the High Risk group (18.7% risk) or Low Risk group (1.7% risk). Conclusions Based upon these measurements it is not possible to determine during a pregnancy if a child will be diagnosed with ASD by age 3. However, differences in the folate-dependent transmethylation and transsulfuration metabolites are indicative of the risk level (High Risk of 18.7% vs. Low Risk of 1.7%) of the mother for having a child with ASD. En ligne : https://doi.org/10.1016/j.rasd.2018.09.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 Altered Metabolic Characteristics in Plasma of Young Boys with Autism Spectrum Disorder / Lei WANG in Journal of Autism and Developmental Disorders, 52-11 (November 2022)
[article]
Titre : Altered Metabolic Characteristics in Plasma of Young Boys with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Lei WANG, Auteur ; Ruixuan ZHENG, Auteur ; Ying XU, Auteur ; Ziyun ZHOU, Auteur ; Ping GUAN, Auteur ; Yanling WU, Auteur ; Jian ZHOU, Auteur ; Zaohuo CHENG, Auteur ; Lili ZHANG, Auteur Article en page(s) : p.4897-4907 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis Biomarkers Child Choline Chromatography, Liquid Humans Male Ornithine Tandem Mass Spectrometry Autism Spectrum Disorder (ASD) Liquid chromatography-tandem mass spectrometry (LC-MS/MS) Metabolic profile Plasma Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder with no clinical biomarker. This study used untargeted metabolomic analysis to identify metabolic characteristics in plasma that can distinguish ASD children. 29 boys with ASD (3.02 Â+ 0.67Â years) and 30 typically developing (TD) boys (3.13 Â+ 0.46Â years) were recruited. Developmental and behavioral assessments were conducted in ASD group. Samples of plasma were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The association between metabolite concentration and scale score was assessed by Spearman rank correlation. Altered metabolic characteristics were found in boys with ASD. In Receiver Operating Characteristic (ROC) analysis, ornithine had the highest AUC (Area under ROC) value. Furthermore, the concentration of choline and ornithine was negatively correlated with ABC-language score in ASD group. En ligne : http://dx.doi.org/10.1007/s10803-021-05364-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489
in Journal of Autism and Developmental Disorders > 52-11 (November 2022) . - p.4897-4907[article] Altered Metabolic Characteristics in Plasma of Young Boys with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Lei WANG, Auteur ; Ruixuan ZHENG, Auteur ; Ying XU, Auteur ; Ziyun ZHOU, Auteur ; Ping GUAN, Auteur ; Yanling WU, Auteur ; Jian ZHOU, Auteur ; Zaohuo CHENG, Auteur ; Lili ZHANG, Auteur . - p.4897-4907.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-11 (November 2022) . - p.4897-4907
Mots-clés : Autism Spectrum Disorder/diagnosis Biomarkers Child Choline Chromatography, Liquid Humans Male Ornithine Tandem Mass Spectrometry Autism Spectrum Disorder (ASD) Liquid chromatography-tandem mass spectrometry (LC-MS/MS) Metabolic profile Plasma Index. décimale : PER Périodiques Résumé : Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder with no clinical biomarker. This study used untargeted metabolomic analysis to identify metabolic characteristics in plasma that can distinguish ASD children. 29 boys with ASD (3.02 Â+ 0.67Â years) and 30 typically developing (TD) boys (3.13 Â+ 0.46Â years) were recruited. Developmental and behavioral assessments were conducted in ASD group. Samples of plasma were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The association between metabolite concentration and scale score was assessed by Spearman rank correlation. Altered metabolic characteristics were found in boys with ASD. In Receiver Operating Characteristic (ROC) analysis, ornithine had the highest AUC (Area under ROC) value. Furthermore, the concentration of choline and ornithine was negatively correlated with ABC-language score in ASD group. En ligne : http://dx.doi.org/10.1007/s10803-021-05364-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489