Evidence map›Paper›PMID 27190514›Full record

ArticleInternational journal of endocrinology2016

Maternal and Fetal Lipid and Adipokine Profiles and Their Association with Obesity.

Mario Solis-Paredes, Salvador Espino Y Sosa, Guadalupe Estrada-Gutierrez, Sonia Nava-Salazar, Veronica Ortega-Castillo, Mario Rodriguez-Bosch, Eyerahi Bravo-Flores, Aurora Espejel-Nuñez, Maricruz Tolentino-Dolores, Rubí Gaona-Estudillo and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  15. Maternal Anthropometric Factors and Circulating Adipokines as Predictors of Birth Weight and Length.International journal of environmental research and public health · 2020
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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

12 authors at 3 institutions in 1 country.

Mario Solis-ParedesDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico; Posgrado en Ciencias Quimico-Biologicas, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, 11340 Ciudad de México, DF, Mexico.
Salvador Espino Y SosaDirection of Education, Instituto Nacional de Medicina Genomica, 14610 Ciudad de México, DF, Mexico.
Guadalupe Estrada-GutierrezBiomedical Research Branch, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Sonia Nava-SalazarDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Veronica Ortega-CastilloDepartment of Obstetrics, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Mario Rodriguez-BoschDepartment of Obstetrics, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Eyerahi Bravo-FloresDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Aurora Espejel-NuñezDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Maricruz Tolentino-DoloresDepartment of Nutrition and Bioprogramming, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Rubí Gaona-EstudilloDepartment of Immunobiochemistry, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Nancy Martinez-BautistaImmunology Department, Centro Medico Nacional La Raza, Instituto Mexicano del Seguro Social, 02990 Ciudad de México, DF, Mexico.
Otilia Perichart-PereraDepartment of Nutrition and Bioprogramming, Instituto Nacional de Perinatologia Isidro Espinosa de los Reyes, 11000 Ciudad de México, DF, Mexico.
Instituto Nacional de Perinatología · MXCentro Médico Nacional La Raza · MXNational Institute of Genomic Medicine · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Maternal metabolic changes impact fetal metabolism resulting in a higher risk for developing chronic diseases later in life. The aim of this study was to assess the association between maternal and fetal adipokine and lipid profiles, as well as the influence of maternal weight on this association. Methods. Healthy pregnant women at term who delivered by C-section were enrolled. Maternal and fetal glucose, lipid profile, adiponectin, leptin, and resistin levels were analyzed by obesity and maternal weight gain. Statistics included descriptives, correlations, and mean differences (SPSS v20.0). Results. Adiponectin and resistin concentrations were higher in fetal blood, while leptin was lower (p < 0.05). A significant inverse association between maternal resistin and fetal LDL-cholesterol (LDL-C) (r = -0.327; p = 0.022) was observed. A positive correlation was found between maternal and fetal resistin (r = 0.358; p = 0.013). Women with excessive weight gain had higher leptin levels and their fetuses showed higher LDL-C levels (p < 0.05). Conclusions. Maternal resistin showed an inverse association with fetal LDL-C, suggesting that maternal adiposity status may play an active role in the regulation of fetal lipid profile and consequently, in fetal programming. Excessive maternal weight gain during pregnancy may exert an effect over metabolic mediators in both mother and newborn.

Identifiers

PMID27190514
PMCPMC4844894
OpenAlexW2341738203

What OpenQuestion 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 OpenQuestion graph.