Metabolomic Profiles in Jamaican Children with and without Autism Spectrum Disorder

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Title: Metabolomic Profiles in Jamaican Children with and without Autism Spectrum Disorder
Language: English
Authors: Akram Yazdani, Maureen Samms-Vaughan, Sepideh Saroukhani, Jan Bressler, Manouchehr Hessabi, Amirali Tahanan, Megan L. Grove, Tanja Gangnus, Vasanta Putluri, Abu Hena Mostafa Kamal, Nagireddy Putluri, Katherine A. Loveland, Mohammad H. Rahbar (ORCID 0000-0003-4608-9445)
Source: Journal of Autism and Developmental Disorders. 2025 55(10):3722-3730.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 9
Publication Date: 2025
Sponsoring Agency: National Institute of Environmental Health Sciences (NIEHS) (DHHS/NIH)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)
Fogarty International Center (FIC) (DHHS/NIH)
National Center for Research Resources (NCRR) (DHHS/NIH)
National Center for Advancing Translational Sciences (NCATS) (DHHS/NIH)
Contract Number: R01ES022165
R21HD057808
Document Type: Journal Articles
Reports - Research
Descriptors: Foreign Countries, Autism Spectrum Disorders, Metabolism, Young Children, Symptoms (Individual Disorders), Etiology
Geographic Terms: Jamaica
DOI: 10.1007/s10803-024-06485-1
ISSN: 0162-3257
1573-3432
Abstract: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a wide range of behavioral and cognitive impairments. While genetic and environmental factors are known to contribute to its etiology, metabolic perturbations associated with ASD, which can potentially connect genetic and environmental factors, remain poorly understood. Therefore, we conducted a metabolomic case-control study and performed a comprehensive analysis to identify significant alterations in metabolite profiles between children with ASD and typically developing (TD) controls in order to identify specific metabolites that may serve as biomarkers for the disorder. We conducted metabolomic profiling on plasma samples from participants in the second phase of Epidemiological Research on Autism in Jamaica, an age and sex-matched cohort of 200 children with ASD and 200 TD controls (2-8 years old). Using high-throughput liquid chromatography-mass spectrometry techniques, we performed a targeted metabolite analysis, encompassing amino acids, lipids, carbohydrates, and other key metabolic compounds. After quality control and missing data imputation, we performed univariable and multivariable analysis using normalized metabolites while adjusting for covariates, age, sex, socioeconomic status, and child's parish of birth. Our findings revealed unique metabolic patterns in children with ASD for four metabolites compared to TD controls. Notably, three metabolites were fatty acids, including myristoleic acid, eicosatetraenoic acid, and octadecenoic acid. The amino acid sarcosine exhibited a significant association with ASD. These findings highlight the role of metabolites in the etiology of ASD and suggest opportunities for the development of targeted interventions.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1489250
Database: ERIC
FullText Text:
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PubType: Academic Journal
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  Data: Metabolomic Profiles in Jamaican Children with and without Autism Spectrum Disorder
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  Data: <searchLink fieldCode="AR" term="%22Akram+Yazdani%22">Akram Yazdani</searchLink><br /><searchLink fieldCode="AR" term="%22Maureen+Samms-Vaughan%22">Maureen Samms-Vaughan</searchLink><br /><searchLink fieldCode="AR" term="%22Sepideh+Saroukhani%22">Sepideh Saroukhani</searchLink><br /><searchLink fieldCode="AR" term="%22Jan+Bressler%22">Jan Bressler</searchLink><br /><searchLink fieldCode="AR" term="%22Manouchehr+Hessabi%22">Manouchehr Hessabi</searchLink><br /><searchLink fieldCode="AR" term="%22Amirali+Tahanan%22">Amirali Tahanan</searchLink><br /><searchLink fieldCode="AR" term="%22Megan+L%2E+Grove%22">Megan L. Grove</searchLink><br /><searchLink fieldCode="AR" term="%22Tanja+Gangnus%22">Tanja Gangnus</searchLink><br /><searchLink fieldCode="AR" term="%22Vasanta+Putluri%22">Vasanta Putluri</searchLink><br /><searchLink fieldCode="AR" term="%22Abu+Hena+Mostafa+Kamal%22">Abu Hena Mostafa Kamal</searchLink><br /><searchLink fieldCode="AR" term="%22Nagireddy+Putluri%22">Nagireddy Putluri</searchLink><br /><searchLink fieldCode="AR" term="%22Katherine+A%2E+Loveland%22">Katherine A. Loveland</searchLink><br /><searchLink fieldCode="AR" term="%22Mohammad+H%2E+Rahbar%22">Mohammad H. Rahbar</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-4608-9445">0000-0003-4608-9445</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Autism+and+Developmental+Disorders%22"><i>Journal of Autism and Developmental Disorders</i></searchLink>. 2025 55(10):3722-3730.
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: National Institute of Environmental Health Sciences (NIEHS) (DHHS/NIH)<br />Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)<br />Fogarty International Center (FIC) (DHHS/NIH)<br />National Center for Research Resources (NCRR) (DHHS/NIH)<br />National Center for Advancing Translational Sciences (NCATS) (DHHS/NIH)
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  Data: R01ES022165<br />R21HD057808
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Autism+Spectrum+Disorders%22">Autism Spectrum Disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolism%22">Metabolism</searchLink><br /><searchLink fieldCode="DE" term="%22Young+Children%22">Young Children</searchLink><br /><searchLink fieldCode="DE" term="%22Symptoms+%28Individual+Disorders%29%22">Symptoms (Individual Disorders)</searchLink><br /><searchLink fieldCode="DE" term="%22Etiology%22">Etiology</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Jamaica%22">Jamaica</searchLink>
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  Data: 10.1007/s10803-024-06485-1
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  Data: 0162-3257<br />1573-3432
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  Data: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a wide range of behavioral and cognitive impairments. While genetic and environmental factors are known to contribute to its etiology, metabolic perturbations associated with ASD, which can potentially connect genetic and environmental factors, remain poorly understood. Therefore, we conducted a metabolomic case-control study and performed a comprehensive analysis to identify significant alterations in metabolite profiles between children with ASD and typically developing (TD) controls in order to identify specific metabolites that may serve as biomarkers for the disorder. We conducted metabolomic profiling on plasma samples from participants in the second phase of Epidemiological Research on Autism in Jamaica, an age and sex-matched cohort of 200 children with ASD and 200 TD controls (2-8 years old). Using high-throughput liquid chromatography-mass spectrometry techniques, we performed a targeted metabolite analysis, encompassing amino acids, lipids, carbohydrates, and other key metabolic compounds. After quality control and missing data imputation, we performed univariable and multivariable analysis using normalized metabolites while adjusting for covariates, age, sex, socioeconomic status, and child's parish of birth. Our findings revealed unique metabolic patterns in children with ASD for four metabolites compared to TD controls. Notably, three metabolites were fatty acids, including myristoleic acid, eicosatetraenoic acid, and octadecenoic acid. The amino acid sarcosine exhibited a significant association with ASD. These findings highlight the role of metabolites in the etiology of ASD and suggest opportunities for the development of targeted interventions.
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  Data: 2025
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      – SubjectFull: Metabolism
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