Evidence mapPaperPMID 33291639Full record

ArticleMetabolites2020

Metabolic Signatures of Gestational Weight Gain and Postpartum Weight Loss in a Lifestyle Intervention Study of Overweight and Obese Women.

Chung-Ho E Lau, Victoria Taylor-Bateman, Panagiotis A Vorkas, Gonçalo Graça, Thanh-Huyen T Vu, Lifang Hou, Elena Chekmeneva, Timothy M D Ebbels, Queenie Chan, Linda Van Horn and 1 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Chung-Ho E LauSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-3602-8326
Victoria Taylor-BatemanSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
Panagiotis A VorkasSection of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-3523-0936
Gonçalo GraçaSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-0876-3876
Thanh-Huyen T VuDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-5069-4886
Lifang HouDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Elena ChekmenevaNational Phenome Centre and Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London W12 0NN, UK.ORCID 0000-0003-1807-2398
Timothy M D EbbelsSection of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-3372-8423
Queenie ChanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK.ORCID 0000-0001-9278-230X
Linda Van HornDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-1362-5806
Elaine HolmesSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-0556-8389
Imperial College London · GBNorthwestern University · USCentre for Research and Technology Hellas · GRMRC Centre for Environment and HealthMurdoch University · AUQueen Mary University of London · GB

Funding

NHLBI NIH HHS R01 HL135486
6 · The paper itself

Abstract

backgroundOverweight and obesity amongst women of reproductive age are increasingly common in developed economies and are shown to adversely affect birth outcomes and both childhood and adulthood health risks in the offspring. Metabolic profiling in conditions of overweight and obesity in pregnancy could potentially be applied to elucidate the molecular basis of the adverse effects of gestational weight gain (GWG) and postpartum weight loss (WL) on future risks for cardiovascular disease (CVD) and other chronic diseases.

methodsBiofluid samples were collected from 114 ethnically diverse pregnant women with body mass index (BMI) between 25 and 40 kg/m

resultsUrinary 4-deoxyerythronic acid and 4-deoxythreonic acid were found to be positively correlated to BMI. Seventeen plasma lipids were found to be associated with GWG and 16 lipids were found to be associated with WL, which included phosphatidylinositols (PI), phosphatidylcholines (PC), lysophospholipids (lyso-), sphingomyelins (SM) and ether phosphatidylcholine (PC-O). Three phospholipids found to be positively associated with GWG all contained palmitate side-chains, and amongst the 14 lipids that were negatively associated with GWG, seven were PC-O. Six of eight lipids found to be negatively associated with WL contained an 18:2 fatty acid side-chain.

conclusionsMaternal obesity was associated with characteristic urine and plasma metabolic phenotypes, and phospholipid profile was found to be associated with both GWG and postpartum WL in metabolically healthy pregnant women with overweight/obesity. Postpartum WL may be linked to the reduction in the intake of linoleic acid/conjugated linoleic acid food sources in our study population.

Indexed as

blood lipidsgestational weight gainLC-MSlifestyle interventionmetabolic phenotypingmetabolomicsNMR

Identifiers

PMID33291639
PMCPMC7761920
OpenAlexW3108047635

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.