Centre d'Information et de documentation du CRA Rhône-Alpes
CRA
Informations pratiques
-
Adresse
Centre d'information et de documentation
du CRA Rhône-Alpes
Centre Hospitalier le Vinatier
bât 211
95, Bd Pinel
69678 Bron CedexHoraires
Lundi au Vendredi
9h00-12h00 13h30-16h00Contact
Tél: +33(0)4 37 91 54 65
Mail
Fax: +33(0)4 37 91 54 37
-
Résultat de la recherche
2 recherche sur le mot-clé 'amino acids'
Affiner la recherche Générer le flux rss de la recherche
Partager le résultat de cette recherche Faire une suggestion
Serum amino acid spectrum in children with autism spectrum disorder (ASD) / Anatoly V. SKALNY in Research in Autism Spectrum Disorders, 77 (September 2020)
[article]
Titre : Serum amino acid spectrum in children with autism spectrum disorder (ASD) Type de document : Texte imprimé et/ou numérique Auteurs : Anatoly V. SKALNY, Auteur ; Andrey A. SKALNY, Auteur ; Yulia N. LOBANOVA, Auteur ; Tatiana V. KOROBEINIKOVA, Auteur ; Olga P. AJSUVAKOVA, Auteur ; Svetlana V. NOTOVA, Auteur ; Tatiana I. BURTSEVA, Auteur ; Margarita G. SKALNAYA, Auteur ; Alexey A. TINKOV, Auteur Article en page(s) : 101605 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Amino acids Hydroxyproline Glutamine Deficiency Index. décimale : PER Périodiques Résumé : Background ASD is associated with complex metabolic alterations including amino acid metabolism. However, the existing data are contradictory. Therefore, the objective of the present study was investigation of serum amino acid levels in children with ASD. Methods A total of 97 boys (3–14 y.o.) including 64 children with diagnosed ASD and 33 neurotypical age-matched controls were enrolled in the current study. Assessment of serum amino acid levels was performed using high-pressure liquid chromatography (HPLC) with UV-detection. ClinChek® Plasma Control was used for laboratory quality control. Statistical analysis was performed using analysis of covariance (ANCOVA) with adjustment for age and Bonferroni correction. Results. The obtained data demonstrate that the mean levels of Arg, Gln, His, Leu, Lys, Phe, Ser, Tau, Thr, and Trp in ASD were 28 %, 23 %, 20 %, 17 %, 21 %, 15 %, 21 %, 24 %, 19 %, and 22 % lower as compared to the control values, respectively. Serum Hypro and Tyr levels in children with ASD were more than 2-fold and 11 % higher as compared to the control values, respectively. Multiple regression analysis demonstrated that serum Leu and Ser (negatively), and Hypro and Tyr levels (positively) were significantly associated with ASD. Conclusions The obtained data demonstrate that children with ASD are characterized by a trend to multiple amino acid deficiency in parallel with elevation of serum Tyr and Hypro levels. The latter may provide a link between ASD and joint hypermobility. In turn, deficiency of other amino acids may impair neurobehavior in ASD due to their role as neuromediators or their precursors. En ligne : https://doi.org/10.1016/j.rasd.2020.101605 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432
in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101605[article] Serum amino acid spectrum in children with autism spectrum disorder (ASD) [Texte imprimé et/ou numérique] / Anatoly V. SKALNY, Auteur ; Andrey A. SKALNY, Auteur ; Yulia N. LOBANOVA, Auteur ; Tatiana V. KOROBEINIKOVA, Auteur ; Olga P. AJSUVAKOVA, Auteur ; Svetlana V. NOTOVA, Auteur ; Tatiana I. BURTSEVA, Auteur ; Margarita G. SKALNAYA, Auteur ; Alexey A. TINKOV, Auteur . - 101605.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101605
Mots-clés : Autism spectrum disorder Amino acids Hydroxyproline Glutamine Deficiency Index. décimale : PER Périodiques Résumé : Background ASD is associated with complex metabolic alterations including amino acid metabolism. However, the existing data are contradictory. Therefore, the objective of the present study was investigation of serum amino acid levels in children with ASD. Methods A total of 97 boys (3–14 y.o.) including 64 children with diagnosed ASD and 33 neurotypical age-matched controls were enrolled in the current study. Assessment of serum amino acid levels was performed using high-pressure liquid chromatography (HPLC) with UV-detection. ClinChek® Plasma Control was used for laboratory quality control. Statistical analysis was performed using analysis of covariance (ANCOVA) with adjustment for age and Bonferroni correction. Results. The obtained data demonstrate that the mean levels of Arg, Gln, His, Leu, Lys, Phe, Ser, Tau, Thr, and Trp in ASD were 28 %, 23 %, 20 %, 17 %, 21 %, 15 %, 21 %, 24 %, 19 %, and 22 % lower as compared to the control values, respectively. Serum Hypro and Tyr levels in children with ASD were more than 2-fold and 11 % higher as compared to the control values, respectively. Multiple regression analysis demonstrated that serum Leu and Ser (negatively), and Hypro and Tyr levels (positively) were significantly associated with ASD. Conclusions The obtained data demonstrate that children with ASD are characterized by a trend to multiple amino acid deficiency in parallel with elevation of serum Tyr and Hypro levels. The latter may provide a link between ASD and joint hypermobility. In turn, deficiency of other amino acids may impair neurobehavior in ASD due to their role as neuromediators or their precursors. En ligne : https://doi.org/10.1016/j.rasd.2020.101605 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432 A Metabolomics Approach to Screening for Autism Risk in the Children's Autism Metabolome Project / Alan M. SMITH in Autism Research, 13-8 (August 2020)
[article]
Titre : A Metabolomics Approach to Screening for Autism Risk in the Children's Autism Metabolome Project Type de document : Texte imprimé et/ou numérique Auteurs : Alan M. SMITH, Auteur ; Marvin R. NATOWICZ, Auteur ; Daniel BRAAS, Auteur ; Michael A. LUDWIG, Auteur ; Denise M. NEY, Auteur ; Elizabeth L. R. DONLEY, Auteur ; Robert E. BURRIER, Auteur ; David G. AMARAL, Auteur Article en page(s) : p.1270-1285 Langues : Anglais (eng) Mots-clés : amino acids autism spectrum disorder biomarkers energy metabolism metabolomics mitochondria risk Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is biologically and behaviorally heterogeneous. Delayed diagnosis of ASD is common and problematic. The complexity of ASD and the low sensitivity of available screening tools are key factors in delayed diagnosis. Identification of biomarkers that reduce complexity through stratification into reliable subpopulations can assist in earlier diagnosis, provide insight into the biology of ASD, and potentially suggest targeted interventions. Quantitative metabolomic analysis was performed on plasma samples from 708 fasting children, aged 18 to 48?months, enrolled in the Children's Autism Metabolome Project (CAMP). The primary goal was to identify alterations in metabolism helpful in stratifying ASD subjects into subpopulations with shared metabolic phenotypes (i.e., metabotypes). Metabotypes associated with ASD were identified in a discovery set of 357 subjects. The reproducibility of the metabotypes was validated in an independent replication set of 351 CAMP subjects. Thirty-four candidate metabotypes that differentiated subsets of ASD from typically developing participants were identified with sensitivity of at least 5% and specificity greater than 95%. The 34 metabotypes formed six metabolic clusters based on ratios of either lactate or pyruvate, succinate, glycine, ornithine, 4-hydroxyproline, or ?-ketoglutarate with other metabolites. Optimization of a subset of new and previously defined metabotypes into a screening battery resulted in 53% sensitivity (95% confidence interval [CI], 48%-57%) and 91% specificity (95% CI, 86%-94%). Thus, our metabolomic screening tool detects more than 50% of the autistic participants in the CAMP study. Further development of this metabolomic screening approach may facilitate earlier referral and diagnosis of ASD and, ultimately, more targeted treatments. LAY SUMMARY: Analysis of a selected set of metabolites in blood samples from children with autism and typically developing children identified reproducible differences in the metabolism of about half of the children with autism. Testing for these differences in blood samples can be used to help screen children as young as 18?months for risk of autism that, in turn, can facilitate earlier diagnoses. In addition, differences may lead to biological insights that produce more precise treatment options. We are exploring other blood-based molecules to determine if still a higher percentage of children with autism can be detected using this strategy. Autism Res 2020, 13: 1270-1285. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2330 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430
in Autism Research > 13-8 (August 2020) . - p.1270-1285[article] A Metabolomics Approach to Screening for Autism Risk in the Children's Autism Metabolome Project [Texte imprimé et/ou numérique] / Alan M. SMITH, Auteur ; Marvin R. NATOWICZ, Auteur ; Daniel BRAAS, Auteur ; Michael A. LUDWIG, Auteur ; Denise M. NEY, Auteur ; Elizabeth L. R. DONLEY, Auteur ; Robert E. BURRIER, Auteur ; David G. AMARAL, Auteur . - p.1270-1285.
Langues : Anglais (eng)
in Autism Research > 13-8 (August 2020) . - p.1270-1285
Mots-clés : amino acids autism spectrum disorder biomarkers energy metabolism metabolomics mitochondria risk Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is biologically and behaviorally heterogeneous. Delayed diagnosis of ASD is common and problematic. The complexity of ASD and the low sensitivity of available screening tools are key factors in delayed diagnosis. Identification of biomarkers that reduce complexity through stratification into reliable subpopulations can assist in earlier diagnosis, provide insight into the biology of ASD, and potentially suggest targeted interventions. Quantitative metabolomic analysis was performed on plasma samples from 708 fasting children, aged 18 to 48?months, enrolled in the Children's Autism Metabolome Project (CAMP). The primary goal was to identify alterations in metabolism helpful in stratifying ASD subjects into subpopulations with shared metabolic phenotypes (i.e., metabotypes). Metabotypes associated with ASD were identified in a discovery set of 357 subjects. The reproducibility of the metabotypes was validated in an independent replication set of 351 CAMP subjects. Thirty-four candidate metabotypes that differentiated subsets of ASD from typically developing participants were identified with sensitivity of at least 5% and specificity greater than 95%. The 34 metabotypes formed six metabolic clusters based on ratios of either lactate or pyruvate, succinate, glycine, ornithine, 4-hydroxyproline, or ?-ketoglutarate with other metabolites. Optimization of a subset of new and previously defined metabotypes into a screening battery resulted in 53% sensitivity (95% confidence interval [CI], 48%-57%) and 91% specificity (95% CI, 86%-94%). Thus, our metabolomic screening tool detects more than 50% of the autistic participants in the CAMP study. Further development of this metabolomic screening approach may facilitate earlier referral and diagnosis of ASD and, ultimately, more targeted treatments. LAY SUMMARY: Analysis of a selected set of metabolites in blood samples from children with autism and typically developing children identified reproducible differences in the metabolism of about half of the children with autism. Testing for these differences in blood samples can be used to help screen children as young as 18?months for risk of autism that, in turn, can facilitate earlier diagnoses. In addition, differences may lead to biological insights that produce more precise treatment options. We are exploring other blood-based molecules to determine if still a higher percentage of children with autism can be detected using this strategy. Autism Res 2020, 13: 1270-1285. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC. En ligne : http://dx.doi.org/10.1002/aur.2330 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=430