Evidence map›Paper›PMID 34822382›Full record

ArticleMetabolites2021

Urinary Metabolomic Profile of Neonates Born to Women with Gestational Diabetes Mellitus.

Ana Sofía Herrera-Van Oostdam, Mariana Salgado-Bustamante, Victoria Lima-Rogel, Juan José Oropeza-Valdez, Jesús Adrián López, Iván Daniel Román Rodríguez, Juan Carlos Toro-Ortiz, David Alejandro Herrera-Van Oostdam, Yamilé López-Hernández, Joel Monárrez-Espino

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
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.

Ana Sofía Herrera-Van OostdamCentro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico.ORCID 0000-0002-5198-6100
Mariana Salgado-BustamanteDepartamento de Bioquímica, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico.ORCID 0000-0003-0242-7190
Victoria Lima-RogelHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí 78290, Mexico.
Juan José Oropeza-ValdezInstituto Mexicano del Seguro Social, Unidad de Investigación Biomédica de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0003-1093-9970
Jesús Adrián LópezMicroRNAs and Cancer Laboratory, Unidad Académica de Ciencias Biológicas, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0001-8012-7041
Iván Daniel Román RodríguezMetabolomics and Proteomics Laboratory, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.
Juan Carlos Toro-OrtizHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí 78290, Mexico.
David Alejandro Herrera-Van OostdamHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosí 78290, Mexico.
Yamilé López-HernándezMetabolomics and Proteomics Laboratory, Universidad Autónoma de Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0002-1068-603X
Joel Monárrez-EspinoDepartment of Health Research, Christus Muguerza del Parque Hospital Chihuahua, University of Monterrey, San Pedro Garza García, Nuevo León 66238, Mexico.
Hospital Central Dr. Ignacio Morones Prieto · MXUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXAutonomous University of San Luis Potosí · MXMexican Social Security Institute · MXUniversity of Monterrey · MX

Funding

Consejo Nacional de Ciencia y Tecnología 290239Consejo Nacional de Ciencia y Tecnología 316258
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is one of the most frequent pregnancy complications with potential adverse outcomes for mothers and newborns. Its effects on the newborn appear during the neonatal period or early childhood. Therefore, an early diagnosis is crucial to prevent the development of chronic diseases later in adult life. In this study, the urinary metabolome of babies born to GDM mothers was characterized. In total, 144 neonatal and maternal (second and third trimesters of pregnancy) urinary samples were analyzed using targeted metabolomics, combining liquid chromatographic mass spectrometry (LC-MS/MS) and flow injection analysis mass spectrometry (FIA-MS/MS) techniques. We provide here the neonatal urinary concentration values of 101 metabolites for 26 newborns born to GDM mothers and 22 newborns born to healthy mothers. The univariate analysis of these metabolites revealed statistical differences in 11 metabolites. Multivariate analyses revealed a differential metabolic profile in newborns of GDM mothers characterized by dysregulation of acylcarnitines, amino acids, and polyamine metabolism. Levels of hexadecenoylcarnitine (C16:1) and spermine were also higher in newborns of GDM mothers. The maternal urinary metabolome revealed significant differences in butyric, isobutyric, and uric acid in the second and third trimesters of pregnancy. These metabolic alterations point to the impact of GDM in the neonatal period.

Indexed as

gestational diabetesmetabolomicsnewbornspregnancy

Identifiers

PMID34822382
PMCPMC8621167
OpenAlexW3209535173

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.