Evidence map›Paper›PMID 35686573›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Maternal Lipid Metabolism Is Associated With Neonatal Adiposity: A Longitudinal Study.

Raziel Rojas-Rodriguez, Lori Lyn Price, Jessica Somogie, Sylvie Hauguel-de Mouzon, Satish C Kalhan, Patrick M Catalano

Open access · bronzeAbstract read
In one paragraph

Article 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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  7. Observational
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  12. Maternal Lipid Metabolism Is Associated With Neonatal Adiposity: A Longitudinal Study.The Journal of clinical endocrinology and metabolism · 2022
    Article
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

6 authors at 4 institutions in 1 country.

Raziel Rojas-RodriguezMother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA.ORCID 0000-0003-0341-3903
Lori Lyn PriceInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA.
Jessica SomogieMother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA.
Sylvie Hauguel-de MouzonDepartment of Reproductive Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
Satish C KalhanDepartment of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA.
Patrick M CatalanoMother Infant Research Institute, Tufts Medical Center, Boston, MA 02111, USA.
Tufts Medical Center · USCase Western Reserve University · USCleveland Clinic · USTufts University · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Tufts IRACDAK12GM133314 · NIGMS · TUFTS UNIVERSITY BOSTON · PI CLAIRE L MOORE, Jamie Lynn Maguire · 2019 to 2026
$8.4M
The impact of lifestyle interventions prior to pregnancy on maternal and neonatal adipocyte metabolismF32HD103310 · NICHD · TUFTS MEDICAL CENTER · PI ROJAS-RODRIGUEZ, RAZIEL · 2020 to 2022
$149k
NCATS NIH HHS UL1 TR002544NICHD NIH HHS F32 HD103310NIGMS NIH HHS K12 GM133314
6 · The paper itself

Abstract

contextPregnancy is characterized by progressive decreases in glucose insulin sensitivity. Low insulin sensitivity resulting in hyperglycemia is associated with higher neonatal adiposity. However, less is known regarding lipid metabolism, particularly lipid insulin sensitivity in pregnancy and neonatal adiposity.

objectiveBecause higher maternal prepregnancy body mass index is strongly associated with both hyperlipidemia and neonatal adiposity, we aimed to examine the longitudinal changes in basal and clamp maternal lipid metabolism as contributors to neonatal adiposity.

methodsTwelve women planning a pregnancy were evaluated before pregnancy, in early (12-14 weeks), and late (34-36 weeks) gestation. Body composition was estimated using hydrodensitometry. Basal and hyperinsulinemic-euglycemic clamp glucose and glycerol turnover (GLYTO) were measured using 2H2-glucose and 2H5-glycerol and substrate oxidative/nonoxidative metabolism with indirect calorimetry. Total body electrical conductivity was used to estimate neonatal body composition.

resultsBasal free-fatty acids decreased with advancing gestation (P = 0.0210); however, basal GLYTO and nonoxidative lipid metabolism increased over time (P = 0.0046 and P = 0.0052, respectively). Further, clamp GLYTO and lipid oxidation increased longitudinally over time (P = 0.0004 and P = 0.0238, respectively). There was a median 50% increase and significant positive correlation during both basal and clamp GLYTO from prepregnancy through late gestation. Neonatal adiposity correlated with late pregnancy basal and clamp GLYTO (r = 0.6515, P = 0.0217; and r = 0.6051, P = 0.0371).

conclusionsMaternal prepregnancy and late pregnancy measures of basal and clamp lipid metabolism are highly correlated. Late pregnancy basal and clamp GLYTO are significantly associated with neonatal adiposity and account for ~40% of the variance in neonatal adiposity. These data emphasize the importance of maternal lipid metabolism relating to fetal fat accrual.

Indexed as

AdiposityInsulin ResistanceFatty Acids, NonesterifiedFemaleGlucoseGlycerolHumansInfant, NewbornInsulinLipid MetabolismLongitudinal StudiesObesityPregnancyFatty Acids, NonesterifiedGlucoseGlycerolInsulinglycerol turnoverinsulin sensitivitylipid metabolismneonatal adipositypregnancy

Identifiers

PMID35686573
PMCPMC9387706
OpenAlexW4281735413

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.