Summary of Study ST002484

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 IDST002484
Study TitleMetabolomic analysis of maternal mid-gestation plasma and cord blood: primary metabolism
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 Date2023-02-21
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2023-07-02
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:SU002804
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
SA269536ABC-17438_315Female CASE
SA269537ABC-19850_538Female CASE
SA269538ABC-17316_307Female CASE
SA269539ABC-17926_418Female CASE
SA269540ABC-19930_264Female CASE
SA269541ABC-19926_722Female CASE
SA269542ABC-19756_272Female CASE
SA269543ABC-19881_776Female CASE
SA269544ABC-19714_984Female CASE
SA269545ABC-10358_478Female CASE
SA269546ABC-9987_885Female CASE
SA269547ABC-19205_624Female CASE
SA269548ABC-19210_658Female CASE
SA269549ABC-18865_686Female CASE
SA269550ABC-19283_383Female CASE
SA269551ABC-17760_948Female CASE
SA269552ABC-19202_238Female CASE
SA269553ABC-19047_503Female CASE
SA269554ABC-17759_615Female CASE
SA269555ABC-19050_632Female CASE
SA269556ABC-17697_966Female CASE
SA269557ABC-17671_849Female CASE
SA269558ABC-10032_831Female CASE
SA269559ABC-18778_694Female CASE
SA269560ABC-18738_564Female CASE
SA269561ABC-18908_221Female CASE
SA269562ABC-17540_605Female CASE
SA269563ABC-19574_256Female CASE
SA269564ABC-19632_857Female CASE
SA269565ABC-19465_469Female CASE
SA269566ABC-19458_712Female CASE
SA269567ABC-19407_785Female CASE
SA269568ABC-18756_323Female CASE
SA269569ABC-7113_358Female CASE
SA269570ABC-19438_730Female CASE
SA269571ABC-17482_374Female CASE
SA269572ABC-16983_1018Female CASE
SA269573ABC-16466_246Female CASE
SA269574ABC-21723_921Female CASE
SA269575ABC-4191_443Female CASE
SA269576ABC-16430_821Female CASE
SA269577ABC-21823_513Female CASE
SA269578ABC-2180_487Female CASE
SA269579ABC-4344_332Female CASE
SA269580ABC-16602_893Female CASE
SA269581ABC-21479_903Female CASE
SA269582ABC-21476_348Female CASE
SA269583ABC-20046_451Female CASE
SA269584ABC-21537_554Female CASE
SA269585ABC-21684_495Female CASE
SA269586ABC-16673_929Female CASE
SA269587ABC-11191_867Female CASE
SA269588ABC-16329_521Female CASE
SA269589ABC-2332_813Female CASE
SA269590ABC-3185_230Female CASE
SA269591ABC-3138_409Female CASE
SA269592ABC-11725_580Female CASE
SA269593ABC-2881_650Female CASE
SA269594ABC-11634_461Female CASE
SA269595ABC-11918_1010Female CASE
SA269596ABC-2299_640Female CASE
SA269597ABC-21970_758Female CASE
SA269598ABC-3681_529Female CASE
SA269599ABC-2200_426Female CASE
SA269600ABC-2262_958Female CASE
SA269601ABC-2298_205Female CASE
SA269602ABC-3414_546Female CASE
SA269603ABC-16796_911Female CASE
SA269604ABC-21528_366Female CASE
SA269605ABC-20903_391Female CASE
SA269606ABC-20900_795Female CASE
SA269607ABC-5666_766Female CASE
SA269608ABC-21379_213Female CASE
SA269609ABC-20953_748Female CASE
SA269610ABC-20952_572Female CASE
SA269611ABC-20870_589Female CASE
SA269612ABC-20867_994Female CASE
SA269613ABC-20769_597Female CASE
SA269614ABC-20531_289Female CASE
SA269615ABC-20792_1002Female CASE
SA269616ABC-17221_668Female CASE
SA269617ABC-20853_803Female CASE
SA269618ABC-5893_875Female CASE
SA269619ABC-20956_340Female CASE
SA269620ABC-20950_976Female CASE
SA269621ABC-21073_839Female CASE
SA269622ABC-16993_740Female CASE
SA269623ABC-21076_435Female CASE
SA269624ABC-16904_676Female CASE
SA269625ABC-21318_399Female CASE
SA269626ABC-16997_281Female CASE
SA269627ABC-2836_939Female CASE
SA269628ABC-21004_704Female CASE
SA269629ABC-21007_297Female CASE
SA269630ABC-8388_840Female CONTROL
SA269631ABC-8876_1003Female CONTROL
SA269632ABC-9061_651Female CONTROL
SA269633ABC-8355_452Female CONTROL
SA269634ABC-8614_539Female CONTROL
SA269635ABC-9565_341Female CONTROL
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Collection:

Collection ID:CO002797
Collection Summary:Spun inside centrifuge and processed
Sample Type:Blood (plasma)

Treatment:

Treatment ID:TR002813
Treatment Summary:NA

Sample Preparation:

Sampleprep ID:SP002810
Sampleprep Summary:SOP blood-LCGCextract-02252019
Sampleprep Protocol Filename:SOP_blood-LCGCextract-02252019.docx

Combined analysis:

Analysis ID AN004375
Analysis type MS
Chromatography type GC
Chromatography system Agilent 7890 GC- Pegasus IV TOF MS
Column Restek Rtx-5Sil MS (30m x 0.25mm, 0.25um)
MS Type EI
MS instrument type GC-TOF
MS instrument name Leco Pegasus IV TOF
Ion Mode POSITIVE
Units normalized peak heights

Chromatography:

Chromatography ID:CH003281
Instrument Name:Agilent 7890 GC- Pegasus IV TOF MS
Column Name:Restek Rtx-5Sil MS (30m x 0.25mm, 0.25um)
Column Temperature:NA
Flow Gradient:NA
Flow Rate:1 mL/min
Solvent A:NA
Solvent B:NA
Chromatography Type:GC

MS:

MS ID:MS004124
Analysis ID:AN004375
Instrument Name:Leco Pegasus IV TOF
Instrument Type:GC-TOF
MS Type:EI
MS Comments:Mass spectrometer settings: A Leco Pegasus IV time of flight mass spectrometer is controlled by the Leco ChromaTOF software vs. 2.32 (St. Joseph, MI). The transfer line temperature between gas chromatograph and mass spectrometer is set to 280°C. Electron impact ionization at 70V is employed with an ion source temperature of 250°C. Acquisition rate is 17 spectra/second, with a scan mass range of 85-500 Da.
Ion Mode:POSITIVE
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