Evidence map›Paper›PMID 34390344›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2022

Maternal Body Mass Index, Early-Pregnancy Metabolite Profile, and Birthweight.

Rama J Wahab, Vincent W V Jaddoe, Ellis Voerman, George J G Ruijter, Janine F Felix, Linda Marchioro, Olaf Uhl, Engy Shokry, Berthold Koletzko, Romy Gaillard

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 38 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

10 authors at 2 institutions in 2 countries.

Rama J WahabThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands.
Vincent W V JaddoeThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands.
Ellis VoermanThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands.
George J G RuijterDepartment of Clinical Genetics, Center for Lysosomal and Metabolic Disease, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Janine F FelixThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands.
Linda MarchioroDivision of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany.
Olaf UhlDivision of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany.
Engy ShokryDivision of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany.
Berthold KoletzkoDivision of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, Munich, Germany.
Romy GaillardThe Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands.ORCID 0000-0002-7967-4600
Erasmus MC · NLLMU Klinikum · DE

Funding

European Research Council ERC-2014-CoG-648916
6 · The paper itself

Abstract

contextMaternal prepregnancy body mass index (BMI) has a strong influence on gestational metabolism, but detailed metabolic alterations are unknown.

objectiveFirst, to examine the associations of maternal prepregnancy BMI with maternal early-pregnancy metabolite alterations. Second, to identify an early-pregnancy metabolite profile associated with birthweight in women with a higher prepregnancy BMI that improved prediction of birthweight compared to glucose and lipid concentrations. DESIGN, SETTING, AND

participantsPrepregnancy BMI was obtained in a subgroup of 682 Dutch pregnant women from the Generation R prospective cohort study.

main outcome measuresMaternal nonfasting targeted amino acids, nonesterified fatty acid, phospholipid, and carnitine concentrations measured in blood serum at mean gestational age of 12.8 weeks. Birthweight was obtained from medical records.

resultsA higher prepregnancy BMI was associated with 72 altered amino acids, nonesterified fatty acid, phospholipid and carnitine concentrations, and 6 metabolite ratios reflecting Krebs cycle, inflammatory, oxidative stress, and lipid metabolic processes (P-values < 0.05). Using penalized regression models, a metabolite profile was selected including 15 metabolites and 4 metabolite ratios based on its association with birthweight in addition to prepregnancy BMI. The adjusted R2 of birthweight was 6.1% for prepregnancy BMI alone, 6.2% after addition of glucose and lipid concentrations, and 12.9% after addition of the metabolite profile.

conclusionsA higher maternal prepregnancy BMI was associated with altered maternal early-pregnancy amino acids, nonesterified fatty acids, phospholipids, and carnitines. Using these metabolites, we identified a maternal metabolite profile that improved prediction of birthweight in women with a higher prepregnancy BMI compared to glucose and lipid concentrations.

Indexed as

Birth WeightBody Mass IndexAdultAmino AcidsCarnitineFatty Acids, NonesterifiedFemaleHumansMaternal AgeMetabolomicsPhospholipidsPregnancyPregnancy in ObesityPregnancy Trimester, SecondPregnancy Trimester, ThirdProspective StudiesAmino AcidsCarnitineFatty Acids, NonesterifiedPhospholipidsbirth complicationsmetabolomicsobesitypregnancy

Identifiers

PMID34390344
PMCPMC8684472
OpenAlexW3189975390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.