Evidence map›Paper›PMID 27569686›Full record

ArticleInternational journal of obesity (2005)2017

Association of maternal prepregnancy BMI with metabolomic profile across gestation.

C Hellmuth, K L Lindsay, O Uhl, C Buss, P D Wadhwa, B Koletzko, S Entringer

Abstract read
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In one paragraph

Article in International journal of obesity (2005), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 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

7 authors at 2 institutions in 2 countries.

C HellmuthLudwig-Maximilian-University Munich, Division of Metabolic and Nutritional Medicine, Dr von Hauner Children's Hospital, University of Munich Medical Center, Muenchen, Germany.
K L LindsayUC Irvine Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, Irvine, CA, USA.
O UhlLudwig-Maximilian-University Munich, Division of Metabolic and Nutritional Medicine, Dr von Hauner Children's Hospital, University of Munich Medical Center, Muenchen, Germany.
C BussUC Irvine Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, Irvine, CA, USA.
P D WadhwaUC Irvine Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, Irvine, CA, USA.
B KoletzkoLudwig-Maximilian-University Munich, Division of Metabolic and Nutritional Medicine, Dr von Hauner Children's Hospital, University of Munich Medical Center, Muenchen, Germany.
S EntringerUC Irvine Development, Health and Disease Research Program, Department of Pediatrics, University of California, Irvine, Irvine, CA, USA.
University of California, Irvine · USLudwig-Maximilians-Universität München · DE

Funding

Prenatal stress biology, infant body composition and obesity riskR01HD065825 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI ENTRINGER, SONJA, WADHWA, PATHIK D · 2010 to 2014
$2.2M
NICHD NIH HHS R01 HD065825
6 · The paper itself

Abstract

BACKGROUND/

objectivesElevated prepregnancy body mass index (pBMI) and excess gestational weight gain (GWG) constitute important prenatal exposures that may program adiposity and disease risk in offspring. The objective of this study is to investigate the influence of pBMI and GWG on the maternal metabolomic profile across pregnancy, and to identify associations with birth weight. SUBJECTS/

methodsThis is a longitudinal prospective study of 167 nondiabetic women carrying a singleton pregnancy. Women were recruited between March 2011 and December 2013 from antenatal clinics affiliated to the University of California, Irvine, Medical Center. Seven women were excluded from analyses because of a diagnosis of diabetes during pregnancy. A total of 254 plasma metabolites known to be related to obesity in nonpregnant populations were analyzed in each trimester using targeted metabolomics. The effects of pBMI and GWG on metabolites were tested through linear regression and principle component analysis, adjusting for maternal sociodemographic factors, diet, and insulin resistance. A Bonferroni correction was applied for multiple comparison testing.

resultspBMI was significantly associated with 40 metabolites. Nonesterified fatty acids (NEFA) showed a strong positive association with pBMI, with specificity for mono-unsaturated and omega-6 NEFA. Among phospholipids, sphingomyelins with two double bonds and phosphatidylcholines containing 20:3 fatty acid chain, indicative of omega-6 NEFA, were positively associated with pBMI. Few associations between GWG, quality and quantity of the diet, insulin resistance and the maternal metabolome throughout gestation were detected. NEFA levels in the first and, to a lesser degree, in the second trimester were positively associated with birth weight percentiles.

conclusionsPreconception obesity appears to have a stronger influence on the maternal metabolic milieu than gestational factors such as weight gain, dietary intake and insulin resistance, highlighting the critical importance of preconception health. NEFA in general, as well as monounsaturated and omega-6 fatty acid species in particular, represent key metabolites for a potential mechanism of intergenerational transfer of obesity risk.

Indexed as

Body Mass IndexMetabolomicsPregnant PeopleAdultBirth WeightCaliforniaFemaleHumansInfant, NewbornLongitudinal StudiesMalePregnancyProspective StudiesRisk FactorsWeight Gain

Identifiers

PMID27569686
OpenAlexW2513781580

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.