Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.7
3.5
Journals
Metabolites
Special Issues
Newborn Metabolomic Profile
share announcement

Newborn Metabolomic Profile

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Advances in Metabolomics".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 3999

Special Issue Editors

Dr. Giuseppe De Bernardo

E-Mail Website
Guest Editor
Department of Woman and Child, Ospedale Buon Consiglio Fatebenefratelli, 80123 Naples, Italy
Interests: neonatal intensive care; mechanical ventilation; neonatal Resuscitation
Dr. Maurizio Giordano

E-Mail Website
Guest Editor
Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy
Interests: newborn metabolomic
Prof. Dr. Giuseppe Buonocore

E-Mail Website
Guest Editor
Department of Molecular and Developmental Medicine, General Hospital "Santa Maria alle Scotte", University of Siena, Siena, Italy
Interests: evaluation of new antioxidant drugs; role of oxidative stress in perinatal diseases; free radicals, proteomics and metabolomics; ethics and research in neonatology
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Serafina Perrone

E-Mail Website
Guest Editor
Neonatology Unit, University Hospital, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy
Interests: pediatrics; intensive care; oxidative stress; antioxidants
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metabolomics is considered today the key for personalized medicine, as it is able to correlate biochemical changes with a determined phenotype and obtain real information about the state of health of a subject at that precise moment. The results of the metabolomics study on newborns can allow an early recognition of potentially pathological changes. It is important to classify and be able to recognize early all risk factors that can alter the metabolism of newborns. The early recognition of risk factors can allow for the development of new methods of diagnosis, follow-up, and treatments. Maternal nutrition, the mother's health, the course of pregnancy, breastfeeding, birth assistance, or genetic, metabolic, or acquired disorders can alter the metabolism of the newborn. The metabolomics study can allow for the identification of newborn pathologies and the personalization of newborn care. We want to explore every possible application that the study of metabolomics can have on the health of the newborn.

Dr. Giuseppe De Bernardo
Dr. Maurizio Giordano
Prof. Dr. Giuseppe Buonocore
Prof. Dr. Serafina Perrone
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • newborn metabolomic
  • inborn errors of metabolism
  • personalized medicine
  • pathophysiology mechanism
  • maternal nutrition
  • breastfeeding
  • pregnancy
  • assisted fertilization
  • diagnostic markers
  • therapeutic strategies

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

11 pages, 1251 KiB  
Article
Maternal Obesity and Differences in Child Urine Metabolome
by Ellen C. Francis, Kelly J. Hunt, William A. Grobman, Daniel W. Skupski, Ashika Mani and Stefanie N. Hinkle
Metabolites 2024, 14(11), 574; https://doi.org/10.3390/metabo14110574 - 25 Oct 2024
Viewed by 1089
Abstract
Background/objective: Approximately one-third of pregnant individuals in the U.S. are affected by obesity, which can adversely impact the in utero environment and offspring. This study aimed to investigate the differences in urine metabolomics between children exposed and unexposed to maternal obesity. Methods: In [...] Read more.
Background/objective: Approximately one-third of pregnant individuals in the U.S. are affected by obesity, which can adversely impact the in utero environment and offspring. This study aimed to investigate the differences in urine metabolomics between children exposed and unexposed to maternal obesity. Methods: In a study nested within a larger pregnancy cohort of women–offspring pairs, we measured untargeted metabolomics using liquid chromatography–mass spectrometry in urine samples from 68 children at 4–8 years of age. We compared metabolite levels between offspring exposed to maternal obesity (body mass index [BMI] ≥ 30.0 kg/m2) vs. unexposed (maternal BMI 18.5–24.9 kg/m2) and matched them on covariates, using two-sample t-tests, with additional sensitivity analyses based on children’s BMI. This study reports statistically significant results (p ≤ 0.05) and potentially noteworthy findings (fold change > 1 or 0.05 < p < 0.15), considering compounds’ involvement in common pathways or similar biochemical families. Results: The mean (SD) maternal age at study enrollment was 28.0 (6.3) years, the mean child age was 6.6 (0.8) years, 56% of children were male, and 38% of children had a BMI in the overweight/obese range (BMI ≥ 85th percentile). Children exposed to maternal obesity had lower levels of 5-hydroxyindole sulfate and 7-hydroxyindole sulfate and higher levels of secondary bile acids. Phenylacetic acid derivatives were lower in offspring exposed to obesity and in offspring who had a current BMI in the overweight/obese range. Exposure to maternal obesity was associated with lower levels of androgenic steroid dehydroepiandrosterone sulfate (DHEA-S). Conclusions: In this preliminary study, children exposed to maternal obesity in utero had differences in microbiome-related metabolites in urine suggestive of altered microbial catabolism of tryptophan and acetylated peptides. Some of these differences were partially attributable to the offspring’s current BMI status. This study highlights the potential of urine metabolomics to identify biomarkers and pathways impacted by in utero exposure to maternal obesity. Full article
(This article belongs to the Special Issue Newborn Metabolomic Profile)
►▼ Show Figures

Figure 1

12 pages, 3149 KiB  
Article
Association of Maternal Age and Blood Markers for Metabolic Disease in Newborns
by Yuhan Xie, Gang Peng, Hongyu Zhao and Curt Scharfe
Metabolites 2024, 14(1), 5; https://doi.org/10.3390/metabo14010005 - 20 Dec 2023
Cited by 1 | Viewed by 2247
Abstract
Pregnancy at an advanced maternal age is considered a risk factor for adverse maternal, fetal, and neonatal outcomes. Here we investigated whether maternal age could be associated with differences in the blood levels of newborn screening (NBS) markers for inborn metabolic disorders on [...] Read more.
Pregnancy at an advanced maternal age is considered a risk factor for adverse maternal, fetal, and neonatal outcomes. Here we investigated whether maternal age could be associated with differences in the blood levels of newborn screening (NBS) markers for inborn metabolic disorders on the Recommended Universal Screening Panel (RUSP). Population-level NBS data from screen-negative singleton infants were examined, which included blood metabolic markers and covariates such as age at blood collection, birth weight, gestational age, infant sex, parent-reported ethnicity, and maternal age at delivery. Marker levels were compared between maternal age groups (age range: 1544 years) using effect size analyses, which controlled for differences in group sizes and potential confounding from other covariates. We found that 13% of the markers had maternal age-related differences, including newborn metabolites with either increased (Tetradecanoylcarnitine [C14], Palmitoylcarnitine [C16], Stearoylcarnitine [C18], Oleoylcarnitine [C18:1], Malonylcarnitine [C3DC]) or decreased (3-Hydroxyisovalerylcarnitine [C5OH]) levels at an advanced maternal age (≥35 years, absolute Cohen’s d > 0.2). The increased C3DC levels in this group correlated with a higher false-positive rate in newborn screening for malonic acidemia (p-value < 0.001), while no significant difference in screening performance was seen for the other markers. Maternal age is associated with inborn metabolic differences and should be considered together with other clinical variables in genetic disease screening. Full article
(This article belongs to the Special Issue Newborn Metabolomic Profile)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop