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Li-Jie Wu

Biographic Data

ID10445256
NAMELi-Jie Wu
GIVEN NAMESLi-Jie
FAMILY NAMEWu
SIGNATUREWU L
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder

    Open Access•Xian Liu, Xin Sun et al.•ARTICLE•Frontiers in Psychiatry•2024

    Significant urinary metabolites, including prostaglandin E2, phosphonic acid, lysine, threonine, and phenylalanine, exhibit associations with autism. Additionally, the involvement of the phosphatidylinositol and inositol phosphate pathways suggests their potential role in the pathophysiology of autism

  • China Multi-Center Preschool Autism Project (CMPAP)

    Open Access•Ting Yang, Jiang Zhu et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: The etiology of autism spectrum disorder (ASD) has not yet been fully identified, but it seems to be triggered by complex genetic and environmental risk factors. Moreover, the tremendous etiological and clinical differences among individuals with ASD has had a major negative impact on early diagnosis and individualized treatment. Earlier diagnosis of precise clinical subtypes of ASD could lead to individualized treatment and a better …

No prominent works on this page.

  • China Multi-Center Preschool Autism Project (CMPAP)

    Open Access•Ting Yang, Jiang Zhu et al.•ARTICLE•Frontiers in Psychiatry•2021

    Background: The etiology of autism spectrum disorder (ASD) has not yet been fully identified, but it seems to be triggered by complex genetic and environmental risk factors. Moreover, the tremendous etiological and clinical differences among individuals with ASD has had a major negative impact on early diagnosis and individualized treatment. Earlier diagnosis of precise clinical subtypes of ASD could lead to individualized treatment and a better …

  • Untargeted urine metabolomics and machine learning provide potential metabolic signatures in children with autism spectrum disorder

    Open Access•Xian Liu, Xin Sun et al.•ARTICLE•Frontiers in Psychiatry•2024

    Significant urinary metabolites, including prostaglandin E2, phosphonic acid, lysine, threonine, and phenylalanine, exhibit associations with autism. Additionally, the involvement of the phosphatidylinositol and inositol phosphate pathways suggests their potential role in the pathophysiology of autism

Autism (2 works) · Autism Spectrum Disorder Research (2 works) · Child Nutrition and Feeding Issues (2 works) · Medicine (2 works) · Psychiatry (2 works) · Autism spectrum disorder (1 works) · Bioinformatics (1 works) · Biology (1 works) · Child Development and Digital Technology (1 works) · Clinical Psychology (1 works)

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