Lipid ratios representing SCD1, FADS1, and FADS2 activities as candidate biomarkers of early growth and adiposity.


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 02 09 2020
revised: 13 12 2020
accepted: 16 12 2020
pubmed: 10 1 2021
medline: 6 10 2021
entrez: 9 1 2021
Statut: ppublish

Résumé

Altered lipid metabolism in early life has been associated with subsequent weight gain and predicting this could aid in obesity prevention and risk management. Here, a lipidomic approach was used to identify circulating markers for future obesity risk in translational murine models and validate in a human infant cohort. Lipidomics was performed on the plasma of APOE*3 Leiden, Ldlr-/-.Leiden, and the wild-type C57BL/6J mice to capture candidate biomarkers predicting subsequent obesity parameters after exposure to high-fat diet. The identified candidate biomarkers were mapped onto corresponding lipid metabolism pathways and were investigated in the Cambridge Baby Growth Study. Infants' growth and adiposity were measured at 0-24 months. Capillary dried blood spots were sampled at 3 months for lipid profiling analysis. From the mouse models, cholesteryl esters were correlated with subsequent weight gain and other obesity parameters after HFD period (Spearman's r≥0.5, FDR p values <0.05) among APOE*3 Leiden and Ldlr-/-.Leiden mice, but not among the wild-type C57BL/6J. Pathway analysis showed that those identified cholesteryl esters were educts or products of desaturases activities: stearoyl-CoA desaturase-1 (SCD1) and fatty acid desaturase (FADS) 1 and 2. In the human cohort, lipid ratios affected by SCD1 at 3 months was inversely associated with 3-12 months weight gain (B±SE=-0.31±0.14, p=0.027), but positively with 12-24 months weight and adiposity gains (0.17±0.07, p=0.02 and 0.17±0.07, 0.53±0.26, p=0.04, respectively). Lipid ratios affected by SCD1 and FADS2 were inversely associated with adiposity gain but positively with height gain between 3-12 months. From murine models to human setting, the ratios of circulating lipid species indicating key desaturase activities in lipid metabolism were associated with subsequent body size increase, providing a potential tool to predict early life weight gain.

Sections du résumé

BACKGROUND BACKGROUND
Altered lipid metabolism in early life has been associated with subsequent weight gain and predicting this could aid in obesity prevention and risk management. Here, a lipidomic approach was used to identify circulating markers for future obesity risk in translational murine models and validate in a human infant cohort.
METHODS METHODS
Lipidomics was performed on the plasma of APOE*3 Leiden, Ldlr-/-.Leiden, and the wild-type C57BL/6J mice to capture candidate biomarkers predicting subsequent obesity parameters after exposure to high-fat diet. The identified candidate biomarkers were mapped onto corresponding lipid metabolism pathways and were investigated in the Cambridge Baby Growth Study. Infants' growth and adiposity were measured at 0-24 months. Capillary dried blood spots were sampled at 3 months for lipid profiling analysis.
FINDINGS RESULTS
From the mouse models, cholesteryl esters were correlated with subsequent weight gain and other obesity parameters after HFD period (Spearman's r≥0.5, FDR p values <0.05) among APOE*3 Leiden and Ldlr-/-.Leiden mice, but not among the wild-type C57BL/6J. Pathway analysis showed that those identified cholesteryl esters were educts or products of desaturases activities: stearoyl-CoA desaturase-1 (SCD1) and fatty acid desaturase (FADS) 1 and 2. In the human cohort, lipid ratios affected by SCD1 at 3 months was inversely associated with 3-12 months weight gain (B±SE=-0.31±0.14, p=0.027), but positively with 12-24 months weight and adiposity gains (0.17±0.07, p=0.02 and 0.17±0.07, 0.53±0.26, p=0.04, respectively). Lipid ratios affected by SCD1 and FADS2 were inversely associated with adiposity gain but positively with height gain between 3-12 months.
INTERPRETATION CONCLUSIONS
From murine models to human setting, the ratios of circulating lipid species indicating key desaturase activities in lipid metabolism were associated with subsequent body size increase, providing a potential tool to predict early life weight gain.

Identifiants

pubmed: 33421943
pii: S2352-3964(20)30574-0
doi: 10.1016/j.ebiom.2020.103198
pmc: PMC7806876
pii:
doi:

Substances chimiques

Biomarkers 0
Delta-5 Fatty Acid Desaturase 0
Fatty Acid Desaturases EC 1.14.19.-
Scd1 protein, mouse EC 1.14.19.1
Stearoyl-CoA Desaturase EC 1.14.19.1
FADS1 protein, human EC 1.14.19.3
FADS1 protein, mouse EC 1.14.19.3
FADS2 protein, mouse EC 1.14.19.3

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103198

Subventions

Organisme : Medical Research Council
ID : G1001995
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00006/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12015/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00014/5
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12012/5
Pays : United Kingdom

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Both animal and human studies received funding support from Mead Johnson Nutrition. JAvD and GG are employees of Mead Johnson Nutrition/Reckitt Benckiser, MHS and EAFvT were employees of Mead Johnson Nutrition at the time of the study. No other authors declare a conflict of interest.

Auteurs

L Olga (L)

Department of Paediatrics, University of Cambridge, Cambridge, UK.

J A van Diepen (JA)

Mead Johnson Pediatric Nutrition Institute, Nijmegen, the Netherlands.

I Bobeldijk-Pastorova (I)

Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.

G Gross (G)

Mead Johnson Pediatric Nutrition Institute, Nijmegen, the Netherlands.

P M Prentice (PM)

Department of Paediatrics, University of Cambridge, Cambridge, UK.

S G Snowden (SG)

Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.

S Furse (S)

Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.

T Kooistra (T)

Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.

I A Hughes (IA)

Department of Paediatrics, University of Cambridge, Cambridge, UK.

M H Schoemaker (MH)

Mead Johnson Pediatric Nutrition Institute, Nijmegen, the Netherlands.

E A F van Tol (EAF)

Mead Johnson Pediatric Nutrition Institute, Nijmegen, the Netherlands; Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.

W van Duyvenvoorde (W)

Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.

P Y Wielinga (PY)

Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.

K K Ong (KK)

Department of Paediatrics, University of Cambridge, Cambridge, UK; MRC Epidemiology Unit, Wellcome Trust-MRC Institute of Metabolic Science, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK; Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories' or (IMS-MRL), University of Cambridge, Cambridge, UK.

D B Dunger (DB)

Department of Paediatrics, University of Cambridge, Cambridge, UK; Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories' or (IMS-MRL), University of Cambridge, Cambridge, UK.

R Kleemann (R)

Department of Metabolic Health Research, The Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands; Department of Vascular Surgery, Leiden University Medical Center, Leiden, The Netherlands.

A Koulman (A)

Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; MRC Epidemiology Unit, Wellcome Trust-MRC Institute of Metabolic Science, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK; Wellcome-MRC Institute of Metabolic Science-Metabolic Research Laboratories' or (IMS-MRL), University of Cambridge, Cambridge, UK. Electronic address: ak675@medschl.cam.ac.uk.

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Classifications MeSH