Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

177
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
177
Pedigree Analysis01:35

Pedigree Analysis

84.6K
Overview
84.6K
Inborn Errors of Metabolism01:20

Inborn Errors of Metabolism

209
Phenylketonuria (PKU) is a protein metabolism disorder characterized by high blood levels of the amino acid phenylalanine. This results from a mutation in the gene responsible for phenylalanine hydroxylase, an enzyme that converts phenylalanine into tyrosine. When this enzyme is deficient, phenylalanine builds up in the blood, leading to symptoms such as vomiting, rashes, seizures, growth deficiency, and severe mental retardation. An early diagnosis and a diet restricting phenylalanine intake...
209

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Astrocytes contribute to olanzapine-mediated reversal of Kleefstra Syndrome-associated neurodevelopmental regression.

The Journal of clinical investigation·2026
Same author

The impact of vitamins A and D on lung function and regulatory epigenetics in adult and childhood asthma.

Thorax·2026
Same author

Intrapartum caesarean delivery and childhood BMI trajectories in relation to the infant gut microbiome in the VDAART prospective birth cohort.

EBioMedicine·2026
Same author

Polygenic risk scores associate with asthma phenotypes and proteomic analyses implicate IL1R1 in two family-based studies.

medRxiv : the preprint server for health sciences·2026
Same author

Metabolomic signatures of the steroid biosynthesis driving sex differences in clinical asthma subtypes.

Research square·2026
Same author

The Michigan Sibling Immunity Birth Study (M-SIBS): Study design protocol for a unique food allergy birth cohort.

The journal of allergy and clinical immunology. Global·2026

Related Experiment Video

Updated: Aug 4, 2025

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests
08:30

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests

Published on: September 6, 2024

1.8K

Phenotypically driven subgroups of ASD display distinct metabolomic profiles.

Nicole Prince1, Su H Chu1, Yulu Chen1

  • 1Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Brain, Behavior, and Immunity
|April 2, 2023
PubMed
Summary

Researchers identified three distinct subgroups within Autism Spectrum Disorder (ASD) based on behavioral traits. Each subgroup exhibited unique plasma metabolomic profiles, suggesting different biological mechanisms underlying ASD heterogeneity and potential for personalized medicine.

Keywords:
Amino acid metabolismAutism severityAutism spectrum disorderLipid metabolismMetabolomicsSimons Simplex Collection

More Related Videos

Strategies for Assessing Autistic-Like Behaviors in Mice
07:38

Strategies for Assessing Autistic-Like Behaviors in Mice

Published on: September 20, 2024

1.2K
Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells NPCs
10:47

Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells NPCs

Published on: March 2, 2018

10.1K

Related Experiment Videos

Last Updated: Aug 4, 2025

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests
08:30

Author Spotlight: Exploring Autism Spectrum Disorder Symptoms in Fruit Flies — Genetic Models and Behavioral Tests

Published on: September 6, 2024

1.8K
Strategies for Assessing Autistic-Like Behaviors in Mice
07:38

Strategies for Assessing Autistic-Like Behaviors in Mice

Published on: September 20, 2024

1.2K
Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells NPCs
10:47

Rapid Detection of Neurodevelopmental Phenotypes in Human Neural Precursor Cells NPCs

Published on: March 2, 2018

10.1K

Area of Science:

  • Metabolomics
  • Neurodevelopmental Disorders
  • Genetics and Genomics

Background:

  • Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with significant phenotypic variability.
  • The underlying biological mechanisms contributing to diverse ASD presentations remain poorly understood.
  • Understanding ASD heterogeneity is crucial given its global prevalence of approximately 1 in 100 children.

Purpose of the Study:

  • To derive phenotypically distinct subgroups within a large cohort of individuals with ASD.
  • To investigate the plasma metabolomic profiles of these subgroups to uncover potential biological differences.
  • To explore the relationship between specific metabolic patterns and ASD characteristics.

Main Methods:

  • Utilized phenotypic and diagnostic data from 2001 individuals (aged 4-17 years) from the Simons Simplex Collection.
  • Applied hierarchical clustering on 40 phenotypes across four clinical domains to identify subgroups.
  • Performed global plasma metabolomic profiling using ultrahigh-performance liquid chromatography-mass spectrometry (UHPLC-MS).

Main Results:

  • Identified three distinct ASD subgroups based on phenotype patterns.
  • Subgroup 1 (least maladaptive traits) showed decreased lipids and increased amino acid/nucleotide metabolites.
  • Subgroup 2 (most challenges) displayed aberrant lipid metabolism and increased lipid oxidation products.
  • Subgroup 3 (maladaptive behaviors, high IQ) exhibited increased sphingolipids and fatty acid byproducts.

Conclusions:

  • Distinct metabolic profiles correlate with specific phenotypic subgroups in ASD.
  • These metabolic differences may reflect underlying biological mechanisms driving ASD heterogeneity.
  • Findings suggest potential for developing personalized medicine strategies for ASD symptom management.