Summary of Study ST002767

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001606. The data can be accessed directly via it's Project DOI: 10.21228/M83T4M This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002767
Study TitleMetabolomic analysis of maternal mid-gestation plasma and cord blood: oxylipins
Study SummaryMetabolomic analysis of maternal mid-gestation plasma and cord blood reveals evidence in autism spectrum disorder of inflammation, disruption of membrane integrity, and impaired neurotransmission and neurotoxicity. The discovery of prenatal and neonatal molecular biomarkers has the potential to yield insights into autism spectrum disorder (ASD) and facilitate early diagnosis. We characterized metabolomic profiles in ASD using plasma samples collected in the Norwegian Autism Birth Cohort from mothers at weeks 17-21 gestation (maternal mid-gestation, MMG, n=408) and from children on the day of birth (cord blood, CB, n=418). We analyzed associations using sex-stratified adjusted logistic regression models with Bayesian analyses. Chemical enrichment analyses (ChemRICH) were performed to determine altered chemical clusters. We also employed machine learning algorithms to assess the utility of metabolomics as ASD biomarkers. We identified ASD associations with a variety of chemical compounds including arachidonic acid, glutamate, and glutamine, and metabolite clusters including hydroxy eicospentaenoic acids, phosphatidylcholines, and ceramides in MMG and CB plasma that are consistent with inflammation, disruption of membrane integrity, and impaired neurotransmission and neurotoxicity. Girls with ASD have disruption of ether/non-ether phospholipid balance in the MMG plasma that is similar to that found in other neurodevelopmental disorders. ASD boys in the CB analyses had the highest number of dysregulated chemical clusters. Machine learning classifiers distinguished ASD cases from controls with AUC values ranging from 0.710 to 0.853. Predictive performance was better in CB analyses than in MMG. These findings may provide new insights into the sex-specific differences in ASD and have implications for discovery of biomarkers that may enable early diagnosis and intervention.
Institute
Columbia University
Last NameLipkin
First NameW. Ian
Address722 W. 168th St., 17th Floor, New York, NY, 10032
Emailwil2001@cumc.columbia.edu
Phone(212) 342-9033
Submit Date2023-06-29
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-07-22
Release Version1
W. Ian Lipkin W. Ian Lipkin
https://dx.doi.org/10.21228/M83T4M
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:

Project:

Project ID:PR001606
Project DOI:doi: 10.21228/M83T4M
Project Title:Metabolomic analysis of maternal mid-gestation plasma and cord blood
Project Summary:Metabolomic analysis of maternal mid-gestation plasma and cord blood reveals evidence in autism spectrum disorder of inflammation, disruption of membrane integrity, and impaired neurotransmission and neurotoxicity. The discovery of prenatal and neonatal molecular biomarkers has the potential to yield insights into autism spectrum disorder (ASD) and facilitate early diagnosis. We characterized metabolomic profiles in ASD using plasma samples collected in the Norwegian Autism Birth Cohort from mothers at weeks 17-21 gestation (maternal mid-gestation, MMG, n=408) and from children on the day of birth (cord blood, CB, n=418). We analyzed associations using sex-stratified adjusted logistic regression models with Bayesian analyses. Chemical enrichment analyses (ChemRICH) were performed to determine altered chemical clusters. We also employed machine learning algorithms to assess the utility of metabolomics as ASD biomarkers. We identified ASD associations with a variety of chemical compounds including arachidonic acid, glutamate, and glutamine, and metabolite clusters including hydroxy eicospentaenoic acids, phosphatidylcholines, and ceramides in MMG and CB plasma that are consistent with inflammation, disruption of membrane integrity, and impaired neurotransmission and neurotoxicity. Girls with ASD have disruption of ether/non-ether phospholipid balance in the MMG plasma that is similar to that found in other neurodevelopmental disorders. ASD boys in the CB analyses had the highest number of dysregulated chemical clusters. Machine learning classifiers distinguished ASD cases from controls with AUC values ranging from 0.710 to 0.853. Predictive performance was better in CB analyses than in MMG. These findings may provide new insights into the sex-specific differences in ASD and have implications for discovery of biomarkers that may enable early diagnosis and intervention.
Institute:Columbia University
Department:Center for Infection and Immunity
Laboratory:Center for Infection and Immunity
Last Name:Lipkin
First Name:W. Ian
Address:722 W. 168th St., 17th Floor, New York, NY, 10032
Email:wil2001@cumc.columbia.edu
Phone:(212) 342-9033

Subject:

Subject ID:SU002874
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Sex Diagnosis
SA292609ABC-21704BOY CASE
SA292610ABC-21690BOY CASE
SA292611ABC-21647BOY CASE
SA292612ABC-21706BOY CASE
SA292613ABC-21654BOY CASE
SA292614ABC-21729BOY CASE
SA292615ABC-21786BOY CASE
SA292616ABC-21765BOY CASE
SA292617ABC-21737BOY CASE
SA292618ABC-21644BOY CASE
SA292619ABC-21718BOY CASE
SA292620ABC-2158BOY CASE
SA292621ABC-21373BOY CASE
SA292622ABC-21047BOY CASE
SA292623ABC-21012BOY CASE
SA292624ABC-21000BOY CASE
SA292625ABC-21407BOY CASE
SA292626ABC-21424BOY CASE
SA292627ABC-21812BOY CASE
SA292628ABC-21543BOY CASE
SA292629ABC-21511BOY CASE
SA292630ABC-21443BOY CASE
SA292631ABC-21587BOY CASE
SA292632ABC-21829BOY CASE
SA292633ABC-4674BOY CASE
SA292634ABC-3582BOY CASE
SA292635ABC-3566BOY CASE
SA292636ABC-3450BOY CASE
SA292637ABC-6597BOY CASE
SA292638ABC-6854BOY CASE
SA292639ABC-7338BOY CASE
SA292640ABC-7142BOY CASE
SA292641ABC-7041BOY CASE
SA292642ABC-6989BOY CASE
SA292643ABC-3243BOY CASE
SA292644ABC-3224BOY CASE
SA292645ABC-22015BOY CASE
SA292646ABC-21943BOY CASE
SA292647ABC-21898BOY CASE
SA292648ABC-21868BOY CASE
SA292649ABC-2258BOY CASE
SA292650ABC-2331BOY CASE
SA292651ABC-2917BOY CASE
SA292652ABC-2802BOY CASE
SA292653ABC-2432BOY CASE
SA292654ABC-20975BOY CASE
SA292655ABC-20943BOY CASE
SA292656ABC-17249BOY CASE
SA292657ABC-17212BOY CASE
SA292658ABC-17161BOY CASE
SA292659ABC-17116BOY CASE
SA292660ABC-17299BOY CASE
SA292661ABC-17308BOY CASE
SA292662ABC-17658BOY CASE
SA292663ABC-17523BOY CASE
SA292664ABC-17411BOY CASE
SA292665ABC-17354BOY CASE
SA292666ABC-17113BOY CASE
SA292667ABC-17105BOY CASE
SA292668ABC-16582BOY CASE
SA292669ABC-16429BOY CASE
SA292670ABC-11883BOY CASE
SA292671ABC-11753BOY CASE
SA292672ABC-16653BOY CASE
SA292673ABC-16708BOY CASE
SA292674ABC-17060BOY CASE
SA292675ABC-16930BOY CASE
SA292676ABC-16917BOY CASE
SA292677ABC-16835BOY CASE
SA292678ABC-17680BOY CASE
SA292679ABC-17969BOY CASE
SA292680ABC-19429BOY CASE
SA292681ABC-19315BOY CASE
SA292682ABC-19251BOY CASE
SA292683ABC-19232BOY CASE
SA292684ABC-19579BOY CASE
SA292685ABC-19600BOY CASE
SA292686ABC-7406BOY CASE
SA292687ABC-20807BOY CASE
SA292688ABC-19770BOY CASE
SA292689ABC-19697BOY CASE
SA292690ABC-19126BOY CASE
SA292691ABC-19013BOY CASE
SA292692ABC-18689BOY CASE
SA292693ABC-18596BOY CASE
SA292694ABC-18543BOY CASE
SA292695ABC-18252BOY CASE
SA292696ABC-18867BOY CASE
SA292697ABC-18874BOY CASE
SA292698ABC-18995BOY CASE
SA292699ABC-18981BOY CASE
SA292700ABC-18882BOY CASE
SA292701ABC-20949BOY CASE
SA292702ABC-8237BOY CASE
SA292703ABC-21530BOY CASE
SA292704ABC-21495BOY CASE
SA292705ABC-21473BOY CASE
SA292706ABC-2140BOY CASE
SA292707ABC-21594BOY CASE
SA292708ABC-21656BOY CASE
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Collection:

Collection ID:CO002867
Collection Summary:spun inside centrifuge and processed
Sample Type:Blood (plasma)

Treatment:

Treatment ID:TR002883
Treatment Summary:NA

Sample Preparation:

Sampleprep ID:SP002880
Sampleprep Summary:SOP Oxylipids Plasma Extraction 2021

Combined analysis:

Analysis ID AN004503
Analysis type MS
Chromatography type Reversed phase
Chromatography system Thermo Vanquish
Column Waters ACQUITY UPLC BEH C8 (150 x 2.1mm,1.7um)
MS Type ESI
MS instrument type Triple quadrupole
MS instrument name ABI Sciex 6500+ QTrap
Ion Mode NEGATIVE
Units nM

Chromatography:

Chromatography ID:CH003383
Instrument Name:Thermo Vanquish
Column Name:Waters ACQUITY UPLC BEH C8 (150 x 2.1mm,1.7um)
Column Temperature:65
Flow Gradient:0 min, 25% B; 1 min, 40% B; 2.5 min, 42% B; 4.5 min, 50% B; 10.5 min, 65% B; 12.5 min, 75% B; 14 min, 85% B; 14.5 min, 95% B; 15 min, 25% B; 17 min, 25% B
Flow Rate:0.25mL/min
Solvent A:0.1% Acetic acid in H2O
Solvent B:0.1% Acetic acid in 9:1 ACN:IPA
Chromatography Type:Reversed phase

MS:

MS ID:MS004250
Analysis ID:AN004503
Instrument Name:ABI Sciex 6500+ QTrap
Instrument Type:Triple quadrupole
MS Type:ESI
MS Comments:Data Processing is done on Sciex MultiQuant software using internal standards and an external curve for determining concentrations in samples using peak areas.
Ion Mode:NEGATIVE
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