Evidence map›Paper›PMID 27195103›Full record

ArticleBiology of sex differences2016

Age and sex dependent effects of early overnutrition on metabolic parameters and the role of neonatal androgens.

Pilar Argente-Arizón, Purificación Ros, Francisca Díaz, Esther Fuente-Martin, David Castro-González, Miguel Ángel Sánchez-Garrido, Vicente Barrios, Manuel Tena-Sempere, Jesús Argente, Julie A Chowen

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In one paragraph

Article in Biology of sex differences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 32 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 5 institutions in 1 country.

Pilar Argente-ArizónDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Department of Pediatrics, Universidad Autónoma of Madrid, Madrid, Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Purificación RosDepartment of Pediatrics, Universidad Autónoma of Madrid, Madrid, Spain ; Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain.
Francisca DíazDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Esther Fuente-MartinDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Department of Pediatrics, Universidad Autónoma of Madrid, Madrid, Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
David Castro-GonzálezDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Department of Pediatrics, Universidad Autónoma of Madrid, Madrid, Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Miguel Ángel Sánchez-GarridoCentro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain ; Department of Cell Biology, Physiology and Immunology, University of Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC/HURS), Córdoba, 14004 Spain.
Vicente BarriosDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Manuel Tena-SempereCentro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain ; Department of Cell Biology, Physiology and Immunology, University of Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC/HURS), Córdoba, 14004 Spain.
Jesús ArgenteDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Department of Pediatrics, Universidad Autónoma of Madrid, Madrid, Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Julie A ChowenDepartment of Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Avenida Menéndez Pelayo 65, Madrid, 28009 Spain ; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
Hospital Infantil Universitario Niño Jesús · ESUniversidad Autónoma de Madrid · ESCentro de Investigación Biomédica en Red · ESInstituto de Salud Carlos III · ESMenéndez Pelayo International University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMales and females respond differently to diverse metabolic situations. Being raised in a small litter is reported to cause overnutrition that increases weight gain and predisposes an individual to metabolic disturbances in adulthood; however, existing data are inconsistent. Indeed, significant weight gain and/or metabolic disturbances, such as hyperinsulinemia and hyperleptinemia, are sometimes not encountered. We hypothesized that these inconsistencies could be due to the animal's sex and/or age at which metabolic parameters are measured.

methodsTo analyze the effects of neonatal overnutrition, male and female Wistar rats were raised in litters of 4 or 12 pups/dam and killed at postnatal days (PND) 10, 21, 30, 50, 85, or 150. In a second study to determine if neonatal sex steroid levels influence sex differences in metabolic parameters, female rats were treated with testosterone on PND1. Effects on weight, length, fat pads, adipokine production, and serum levels of glucose, metabolic hormones, and cytokines were analyzed in both studies.

resultsBy PND10, both males and females raised in small litters had increased body weight, body length, adiposity, and serum glucose, insulin, leptin, and adiponectin levels. Females had a greater increase in inguinal fat, and males had higher expression of leptin messenger RNA (mRNA) and serum insulin, as well as increased testosterone levels. Most of the litter size effects diminished or disappeared after weaning and reappeared during adulthood in males, with sex differences in body size and adiposity being apparent postpubertally. Treatment of females with testosterone on PND1 tended to masculinize some metabolic parameters in adulthood such as increased body weight and serum leptin levels.

conclusionsOur results indicate that (1) both sex and age determine the response to neonatal overnutrition; (2) differences in neonatal sex steroid levels may participate in the development of sex differences in metabolic parameters in adulthood and possibly in the response to neonatal overnutrition; and (3) the comparison of circulating hormone and cytokine levels, even in normal control animals, should take into consideration the early neonatal nutritional environment.

Indexed as

Litter sizeMetabolic hormonesNeonatal nutritionNeonatal testosteroneSex differences

Identifiers

PMID27195103
PMCPMC4870809
OpenAlexW2395015152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.