Evidence map›Paper›PMID 38248844›Full record

ArticleMetabolites2024

The Urinary Metabolome of Newborns with Perinatal Complications.

Yamilé López-Hernández, Victoria Lima-Rogel, Rupasri Mandal, Jiamin Zheng, Lun Zhang, Eponine Oler, David Alejandro García-López, Claudia Torres-Calzada, Ana Ruth Mejía-Elizondo, Jenna Poelsner and 3 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. 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

13 authors at 3 institutions in 2 countries.

Yamilé López-HernándezAcademic Unit of Biological Sciences, Metabolomics and Proteomics Laboratory, CONAHCyT-Autonomous University of Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0002-1068-603X
Victoria Lima-RogelHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosi 78290, Mexico.
Rupasri MandalThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Jiamin ZhengThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Lun ZhangThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Eponine OlerThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
David Alejandro García-LópezAcademic Unit of Biological Sciences, Autonomous University of Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0003-2064-1959
Claudia Torres-CalzadaDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Ana Ruth Mejía-ElizondoHospital Central "Dr. Ignacio Morones Prieto", San Luis Potosi 78290, Mexico.ORCID 0000-0002-9889-5687
Jenna PoelsnerDepartment of Biological Sciences, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Jesús Adrián LópezAcademic Unit of Biological Sciences, microRNAs and Cancer Laboratory, Autonomous University of Zacatecas, Zacatecas 98000, Mexico.ORCID 0000-0001-8012-7041
Ashley ZubkowskiThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0003-4852-8085
David S WishartThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0002-3207-2434
University of Alberta · CAUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXHospital Central Dr. Ignacio Morones Prieto · MX

Funding

CIHR FS 148461
6 · The paper itself

Abstract

Maternal pathological conditions such as infections and chronic diseases, along with unexpected events during labor, can lead to life-threatening perinatal outcomes. These outcomes can have irreversible consequences throughout an individual's entire life. Urinary metabolomics can provide valuable insights into early physiological adaptations in healthy newborns, as well as metabolic disturbances in premature infants or infants with birth complications. In the present study, we measured 180 metabolites and metabolite ratios in the urine of 13 healthy (hospital-discharged) and 38 critically ill newborns (admitted to the neonatal intensive care unit (NICU)). We used an in-house-developed targeted tandem mass spectrometry (MS/MS)-based metabolomic assay (TMIC Mega) combining liquid chromatography (LC-MS/MS) and flow injection analysis (FIA-MS/MS) to quantitatively analyze up to 26 classes of compounds. Average urinary concentrations (and ranges) for 167 different metabolites from 38 critically ill NICU newborns during their first 24 h of life were determined. Similar sets of urinary values were determined for the 13 healthy newborns. These reference data have been uploaded to the Human Metabolome Database. Urinary concentrations and ranges of 37 metabolites are reported for the first time for newborns. Significant differences were found in the urinary levels of 44 metabolites between healthy newborns and those admitted at the NICU. Metabolites such as acylcarnitines, amino acids and derivatives, biogenic amines, sugars, and organic acids are dysregulated in newborns with bronchopulmonary dysplasia (BPD), asphyxia, or newborns exposed to SARS-CoV-2 during the intrauterine period. Urine can serve as a valuable source of information for understanding metabolic alterations associated with life-threatening perinatal outcomes.

Indexed as

asphyxiabronchopulmonary dysplasiaLC-MS/MSmetabolitesmetabolomicsnewbornsNICU

Identifiers

PMID38248844
PMCPMC10819924
OpenAlexW4390704873

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.