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Research Article
John Meeker
University of Michigan–Ann Arbor
Corresponding Author
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Background: Lipidome-wide metabolites may be useful biomarkers of pregnancy outcomes. We sought to characterize maternal lipidomic signatures associated with preterm birth and neonatal anthropometric parameters.
Methods: Plasma samples were collected 24-28 weeks gestation, and lipidomic profiling was quantified using high-performance liquid chromatography tandem mass spectrometry. Lipid metabolites were analyzed individually and as whole lipid classes and subgroups based on degree of hydrocarbon chain saturation. Associations were estimated using linear and logistic regression.
Results: After false discovery adjustment (q<0.15), four plasmenyl-phosphatidylethanolamines and three free fatty acids associated with increased risk for spontaneous preterm birth. Five phosphatidylinositols, two phosphatidylglycerols, and one phosphatidic acid were associated with large for gestational age neonates. The saturated plasmenyl-phosphatidylethanolamines held the association with increased risk for spontaneous preterm birth. Both the mono- and poly-unsaturated free fatty acids held the association for increased risk for spontaneous preterm birth. Mono- and poly-unsaturated phosphatidylinositols were associated with large for gestational age neonates. Whole lipid classes (plasmenyl-phophatidylcholines and plasmenyl-phosphatidylethanolamines) were associated with increased risk for large for gestational age at delivery.
Conclusions: This study provides evidence that finer omics-scale analysis of the maternal lipidome may be more informative biomarkers of pregnancy outcomes compared to whole class level lipid analysis.
Keywords
Lipidomic profiles, preterm birth, neonatal anthropometry
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On 02 Jan, 2021
Reviewer #8 agreed
On 02 Jan, 2021
Reviewer #9 agreed
On 02 Jan, 2021
Reviewer #3 agreed
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Reviewer #6 agreed
On 02 Jan, 2021
Reviewer #1 agreed
On 02 Jan, 2021
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On 02 Jan, 2021
Reviewer #13 agreed
On 02 Jan, 2021
Reviewer #12 agreed
On 02 Jan, 2021
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On 02 Jan, 2021
Reviewer #2 agreed
On 02 Jan, 2021
Reviewer #15 agreed
On 02 Jan, 2021
Reviewer #4 agreed
On 02 Jan, 2021
Reviewer #7 agreed
On 02 Jan, 2021
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On 02 Jan, 2021
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
John Meeker
University of Michigan–Ann Arbor
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 05 Jan, 2021
No community comments so far
Editorial decision: Major revision
On 22 Feb, 2021
Review #3 received
Received 19 Feb, 2021
Review #7 received
Received 18 Jan, 2021
Review #1 received
Received 18 Jan, 2021
Review #2 received
Received 18 Jan, 2021
Review #9 received
Received 18 Jan, 2021
Review #6 received
Received 18 Jan, 2021
Review #5 received
Received 18 Jan, 2021
Review #11 received
Received 18 Jan, 2021
Review #8 received
Received 18 Jan, 2021
Review #10 received
Received 18 Jan, 2021
Reviewer #14 agreed
On 02 Jan, 2021
Reviewer #8 agreed
On 02 Jan, 2021
Reviewer #9 agreed
On 02 Jan, 2021
Reviewer #3 agreed
On 02 Jan, 2021
Reviewer #6 agreed
On 02 Jan, 2021
Reviewer #1 agreed
On 02 Jan, 2021
Reviewer #16 agreed
On 02 Jan, 2021
Reviewer #13 agreed
On 02 Jan, 2021
Reviewer #12 agreed
On 02 Jan, 2021
Reviewer #18 agreed
On 02 Jan, 2021
Reviewer #2 agreed
On 02 Jan, 2021
Reviewer #15 agreed
On 02 Jan, 2021
Reviewer #4 agreed
On 02 Jan, 2021
Reviewer #7 agreed
On 02 Jan, 2021
Reviewer #17 agreed
On 02 Jan, 2021
Reviewers invited
Invitations sent on 01 Jan, 2021
Editor assigned
On 01 Jan, 2021
Editor invited
On 01 Jan, 2021
Submission checks complete
On 01 Jan, 2021
First submitted
On 30 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Lipidome-wide metabolites may be useful biomarkers of pregnancy outcomes. We sought to characterize maternal lipidomic signatures associated with preterm birth and neonatal anthropometric parameters.
Methods: Plasma samples were collected 24-28 weeks gestation, and lipidomic profiling was quantified using high-performance liquid chromatography tandem mass spectrometry. Lipid metabolites were analyzed individually and as whole lipid classes and subgroups based on degree of hydrocarbon chain saturation. Associations were estimated using linear and logistic regression.
Results: After false discovery adjustment (q<0.15), four plasmenyl-phosphatidylethanolamines and three free fatty acids associated with increased risk for spontaneous preterm birth. Five phosphatidylinositols, two phosphatidylglycerols, and one phosphatidic acid were associated with large for gestational age neonates. The saturated plasmenyl-phosphatidylethanolamines held the association with increased risk for spontaneous preterm birth. Both the mono- and poly-unsaturated free fatty acids held the association for increased risk for spontaneous preterm birth. Mono- and poly-unsaturated phosphatidylinositols were associated with large for gestational age neonates. Whole lipid classes (plasmenyl-phophatidylcholines and plasmenyl-phosphatidylethanolamines) were associated with increased risk for large for gestational age at delivery.
Conclusions: This study provides evidence that finer omics-scale analysis of the maternal lipidome may be more informative biomarkers of pregnancy outcomes compared to whole class level lipid analysis.
Figure 1
Figure 2
Figure 3
Figure 4
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