Placental polar lipid composition is associated with placental gene expression and neonatal body composition.


Journal

Biochimica et biophysica acta. Molecular and cell biology of lipids
ISSN: 1879-2618
Titre abrégé: Biochim Biophys Acta Mol Cell Biol Lipids
Pays: Netherlands
ID NLM: 101731727

Informations de publication

Date de publication:
09 2021
Historique:
received: 13 10 2020
revised: 05 05 2021
accepted: 18 05 2021
pubmed: 25 5 2021
medline: 18 9 2021
entrez: 24 5 2021
Statut: ppublish

Résumé

The polar-lipid composition of the placenta reflects its cellular heterogeneity and metabolism. This study explored relationships between placental polar-lipid composition, gene expression and neonatal body composition. Placental tissue and maternal and offspring data were collected in the Southampton Women's Survey. Lipid and RNA were extracted from placental tissue and polar lipids measured by mass spectrometry, while gene expression was assessed using the nCounter analysis platform. Principal component analysis was used to identify patterns within placental lipid composition and these were correlated with neonatal body composition and placental gene expression. In the analysis of placental lipids, the first three principal components explained 19.1%, 12.7% and 8.0% of variation in placental lipid composition, respectively. Principal component 2 was characterised by high principal component scores for acyl-alkyl-glycerophosphatidylcholines and lipid species containing DHA. Principal component 2 was associated with placental weight and neonatal lean mass; this component was associated with gene expression of APOE, PLIN2, FATP2, FABP4, LEP, G0S2, PNPLA2 and SRB1. Principal components 1 and 3 were not related to birth outcomes but they were associated with the gene expression of lipid related genes. Principal component 1 was associated with expression of LEP, APOE, FATP2 and ACAT2. Principal component 3 was associated with expression of PLIN2, PLIN3 and PNPLA2. This study demonstrates that placentas of different sizes have specific differences in polar-lipid composition and related gene expression. These differences in lipid composition were associated with birth weight and neonatal lean mass, suggesting that placental lipid composition may influence prenatal lean mass accretion.

Identifiants

pubmed: 34029703
pii: S1388-1981(21)00099-8
doi: 10.1016/j.bbalip.2021.158971
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

158971

Subventions

Organisme : British Heart Foundation
ID : RG/15/17/31749
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UP_A620_1014
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/4
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21003
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0400491
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585819
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21000
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585827
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585824
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21001
Pays : United Kingdom

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Olaf Uhl (O)

Department of Paediatrics, Dr von Hauner Children's Hospital, University Hospitals, Ludwig-Maximilians-Universität Munich, Germany.

Rohan M Lewis (RM)

University of Southampton, Faculty of Medicine, UK. Electronic address: rohan.lewis@soton.ac.uk.

Birgit Hirschmugl (B)

Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: birgit.hirschmugl@medunigraz.at.

Sarah Crozier (S)

MRC Lifecourse Epidemiology Unit, University of Southampton, UK; NIHR Applied Research Collaboration Wessex, Southampton Science Park, UK. Electronic address: src@mrc.soton.ac.uk.

Hazel Inskip (H)

MRC Lifecourse Epidemiology Unit, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: hmi@mrc.soton.ac.uk.

Antonio Gazquez (A)

Department of Paediatrics, Dr von Hauner Children's Hospital, University Hospitals, Ludwig-Maximilians-Universität Munich, Germany; University of Murcia, Department of Physiology, Murcia, Spain. Electronic address: antonio.gazquez@um.es.

Nicholas C Harvey (NC)

MRC Lifecourse Epidemiology Unit, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: nch@mrc.soton.ac.uk.

Cyrus Cooper (C)

MRC Lifecourse Epidemiology Unit, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: cc@mrc.soton.ac.uk.

Gernot Desoye (G)

Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria. Electronic address: gernot.desoye@medunigraz.at.

Berthold Koletzko (B)

Department of Paediatrics, Dr von Hauner Children's Hospital, University Hospitals, Ludwig-Maximilians-Universität Munich, Germany. Electronic address: Berthold.Koletzko@med.uni-muenchen.de.

Christian Wadsack (C)

Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: christian.wadsack@medunigraz.at.

Hans Demmelmair (H)

Department of Paediatrics, Dr von Hauner Children's Hospital, University Hospitals, Ludwig-Maximilians-Universität Munich, Germany. Electronic address: Hans.Demmelmair@med.uni-muenchen.de.

Keith M Godfrey (KM)

MRC Lifecourse Epidemiology Unit, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: kmg@mrc.soton.ac.uk.

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Classifications MeSH