Potential serum biomarkers from a metabolomics study of autism

Wang, Han; Liang, Shuang; Wang, Maoqing; Gao, Jingli; Jia, Wei Hua; Xia, Wei; Wu, Shiying; Sumner, Susan; Zhang, Fengyu; Sun, Chongde; Wu, Lijie

doi:10.1503/jpn.140009

Cited by 107 publications

(81 citation statements)

References 82 publications

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“…This is also true for recent studies examining metabolomics,6162 markers of inflammation63 and oxidative stress,64 and salivary proteomics 65. Such findings cannot be readily generalized to early detection because biomarkers generally reflect dynamic processes that change over the course of development.…”

Section: Potential For Presymptomatic Detection: Advances In Biomarkementioning

confidence: 99%

Autism spectrum disorder: advances in diagnosis and evaluation

Zwaigenbaum

Penner

2018

BMJ

192

137

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Autism spectrum disorder (ASD) has a variety of causes, and its clinical expression is generally associated with substantial disability throughout the lifespan. Recent advances have led to earlier diagnosis, and deep phenotyping efforts focused on high risk infants have helped advance the characterization of early behavioral trajectories. Moreover, biomarkers that measure early structural and functional connectivity, visual orienting, and other biological processes have shown promise in detecting the risk of autism spectrum disorder even before the emergence of overt behavioral symptoms. Despite these advances, the mean age of diagnosis is still 4-5 years. Because of the broad consistency in published guidelines, parameters for high quality comprehensive assessments are available; however, such models are resource intensive and high demand can result in greatly increased waiting times. This review describes advances in detecting early behavioral and biological markers, current options and controversies in screening for the disorder, and best practice in its diagnostic evaluation including emerging data on innovative service models.

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Section: Potential For Presymptomatic Detection: Advances In Biomarkementioning

confidence: 99%

Autism spectrum disorder: advances in diagnosis and evaluation

Zwaigenbaum

Penner

2018

BMJ

192

137

View full text Add to dashboard Cite

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“…Sphingosine-1-phosphate (S1P) plays an important role in oligodendrocytes and in myelination [180]. Aberrant myelination, greater than expected for their age in left and right medial frontal cortex and less than expected in the left temporo-parietal junction has been noted in autistic children and high serum levels of S1P have been reported in a metabolomics study of autistic subjects [181].As recently reviewed, oxytocin has both beneficial and deleterious effects in autism. While its use to induce labour has been linked to the subsequent development of autism in the children, it can also help in relation to the social skills in autistic patients [182] .…”

Section: Autism Genes Are Targeted By Relevant Hormones and Transmittmentioning

confidence: 99%

Autism genes are selectively targeted by environmental pollutants including pesticides, heavy metals, bisphenol A, phthalates and many others in food, cosmetics or household products

Carter

Blizard

2016

Neurochemistry International

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“…Earlier detection of autism can lead to better responses to interventions [5,6]. Recently there is a growing interest among clinicians and scholars to find the possibility of isolating objective biological markers for autism [6,7]. The problem has been approached from different perspectives: behavioral, biochemical, neuroanatomical, neurophysiological, immunological, and even hormonal.…”

Section: Introductionmentioning

confidence: 99%

An Abnormal Cerebellar Network in Children with Autistic Spectrum Disorder: A Morphometric Study

Pappaianni

Grecucci²,

Siugzdaite³

2016

Autism Open Access

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Autism is a neurodevelopmental disorder characterized by poor social abilities, communication deficiency and restricted behavioural patterns. Recently, scholars started to consider the possibility of detecting biological markers for better and faster diagnosing autism. This problem has been approached from different perspectives considering biochemical, neurophysiological, and neuroanatomical markers. Following this perspective, our intent was to investigate whether a structural brain signature of autism can be detected in children by using a whole brain morphological analysis. To this aim, we selected 43 male children with autistic spectrum disorder and 46 male controls, matched for age. Structural brain images (T1 image), intelligence scores (Full IQ, Verbal IQ, Performance IQ), and Autism Diagnostic Observation Schedule (ADOS) scores were considered for analyses. Source-Based Morphometry, a multivariate method based on Independent Component Analysis to detect maximally independent cortical networks of gray matter differences was applied to autistic and control brains. Results showed a statistically different network between ASD children and controls, including several cerebellar regions (Inferior Semi-lunar lobule, Tuble, Uvula, Pyramis, Declive, Cerebellar Tonsil) and the Fusiform Gyrus, confirming, but, also expanding previous results. In addition, separate temporal, frontal, and parietal networks were found to be significantly correlated with the Stereotyped Behaviour ADOS scores. These morphologic differences may be particularly useful in paving the way for future objective methods to diagnose autism.

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Potential serum biomarkers from a metabolomics study of autism

Cited by 107 publications

References 82 publications

Autism spectrum disorder: advances in diagnosis and evaluation

Autism spectrum disorder: advances in diagnosis and evaluation

Autism genes are selectively targeted by environmental pollutants including pesticides, heavy metals, bisphenol A, phthalates and many others in food, cosmetics or household products

An Abnormal Cerebellar Network in Children with Autistic Spectrum Disorder: A Morphometric Study

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