Cargando…
Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings
BACKGROUND: Autism spectrum disorder (ASD) is a complicated neuropsychiatric disease that displays significant heterogeneity. The diagnosis of ASD is currently primarily dependent upon descriptions of clinical symptoms, and it remains urgent to find biological markers for the detection and diagnosis...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702663/ https://www.ncbi.nlm.nih.gov/pubmed/33237888 http://dx.doi.org/10.12659/MSM.926634 |
_version_ | 1783616589612974080 |
---|---|
author | Liang, Yujie Xiao, Zhou Ke, Xiaoyin Yao, Paul Chen, Yangxia Lin, Ling Lu, Jianping |
author_facet | Liang, Yujie Xiao, Zhou Ke, Xiaoyin Yao, Paul Chen, Yangxia Lin, Ling Lu, Jianping |
author_sort | Liang, Yujie |
collection | PubMed |
description | BACKGROUND: Autism spectrum disorder (ASD) is a complicated neuropsychiatric disease that displays significant heterogeneity. The diagnosis of ASD is currently primarily dependent upon descriptions of clinical symptoms, and it remains urgent to find biological markers for the detection and diagnosis of autism. The current study applied the urinary metabolic profiling approach to characterize metabolic phenotypes in ASD. MATERIAL/METHODS: Urine was obtained from children with ASD and their matched healthy siblings. Samples were analyzed using (1)H NMR-based methods designed to measure a broad range of metabolites. Partial least-square-discriminant analysis (PLS-DA) was used to develop models to identify metabonomic variations that can be used to distinguish between individuals with ASD and their unaffected siblings. RESULTS: A significant difference was observed between the metabolomic profiles of children with ASD and that of their healthy siblings. An increase in the levels of tryptophan, hippurate, glycine, and creatine, and a decrease in trigonelline, melatonin, pantothenate, serotonin, and taurine were observed compared to the control group. We conclude that several metabolic pathways are affected by autism, which suggests that a gut-brain link may be important in the pathophysiology of ASD. CONCLUSIONS: (1)H NMR-based metabonomic analysis of the urine can determine perturbations of specific metabolic pathways related to ASD and help identify a characteristic metabolic fingerprint to better understand the disease and its causes. |
format | Online Article Text |
id | pubmed-7702663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77026632020-12-04 Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings Liang, Yujie Xiao, Zhou Ke, Xiaoyin Yao, Paul Chen, Yangxia Lin, Ling Lu, Jianping Med Sci Monit Clinical Research BACKGROUND: Autism spectrum disorder (ASD) is a complicated neuropsychiatric disease that displays significant heterogeneity. The diagnosis of ASD is currently primarily dependent upon descriptions of clinical symptoms, and it remains urgent to find biological markers for the detection and diagnosis of autism. The current study applied the urinary metabolic profiling approach to characterize metabolic phenotypes in ASD. MATERIAL/METHODS: Urine was obtained from children with ASD and their matched healthy siblings. Samples were analyzed using (1)H NMR-based methods designed to measure a broad range of metabolites. Partial least-square-discriminant analysis (PLS-DA) was used to develop models to identify metabonomic variations that can be used to distinguish between individuals with ASD and their unaffected siblings. RESULTS: A significant difference was observed between the metabolomic profiles of children with ASD and that of their healthy siblings. An increase in the levels of tryptophan, hippurate, glycine, and creatine, and a decrease in trigonelline, melatonin, pantothenate, serotonin, and taurine were observed compared to the control group. We conclude that several metabolic pathways are affected by autism, which suggests that a gut-brain link may be important in the pathophysiology of ASD. CONCLUSIONS: (1)H NMR-based metabonomic analysis of the urine can determine perturbations of specific metabolic pathways related to ASD and help identify a characteristic metabolic fingerprint to better understand the disease and its causes. International Scientific Literature, Inc. 2020-11-25 /pmc/articles/PMC7702663/ /pubmed/33237888 http://dx.doi.org/10.12659/MSM.926634 Text en © Med Sci Monit, 2020 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Clinical Research Liang, Yujie Xiao, Zhou Ke, Xiaoyin Yao, Paul Chen, Yangxia Lin, Ling Lu, Jianping Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title | Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title_full | Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title_fullStr | Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title_full_unstemmed | Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title_short | Urinary Metabonomic Profiling Discriminates Between Children with Autism and Their Healthy Siblings |
title_sort | urinary metabonomic profiling discriminates between children with autism and their healthy siblings |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702663/ https://www.ncbi.nlm.nih.gov/pubmed/33237888 http://dx.doi.org/10.12659/MSM.926634 |
work_keys_str_mv | AT liangyujie urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT xiaozhou urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT kexiaoyin urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT yaopaul urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT chenyangxia urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT linling urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings AT lujianping urinarymetabonomicprofilingdiscriminatesbetweenchildrenwithautismandtheirhealthysiblings |