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Metabolomic Profiling in Prenatal Health Research
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Metabolomic Profiling in Prenatal Health Research

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Endocrinology and Metabolism".

Deadline for manuscript submissions: 20 March 2025 | Viewed by 3266

Special Issue Editor

Dr. Onur Turkoglu

E-Mail Website
Guest Editor
Corewell Health William Beaumont University Hospital, Royal Oak, MI 48073, USA
Interests: obstetrics; biomarkers; metabolomics; epigenomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the past decade, metabolomics science has become a powerful analytical tool for elucidating disease pathogenesis. Furthermore, it has led to the discovery of early and accurate biomarkers for many human diseases. These advancements have earned metabolomics science the title of the “stethoscope for the 21st century”. Pregnant women are at significant risk of morbidity and mortality, which has a significant impact on fetal health. Additionally, pregnancy disorders are characterized by enormous pathogenic complexity, which makes them ideally suited for metabolomic interrogation. The deployment of metabolomic tools to address the challenges in diagnosing common disorders such as premature cervical shortening, fetal growth restriction, miscarriage, ectopic pregnancy, prematurity, preeclampsia, gestational diabetes, and fetal congenital anomalies is warranted.

In this Special Issue, titled “Metabolomic Profiling in Prenatal Health Research”, the International Journal of Molecular Sciences issues a call for contributions that use metabolomic approaches to probe and answer pressing questions in prenatal medicine. Reviews and perspectives as well as original research studies are welcome. We hope that this Special Issue will build on preexisting pioneering work in this consequential scientific area, and serve to heighten interest and energize both new and established researchers working in the fields of obstetrics and metabolomics.

Dr. Onur Turkoglu
Guest Editor

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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • metabolomics
  • biomarker
  • obstetrics
  • prenatal health
  • maternal health
  • fetal health
  • perinatology
  • high risk
  • pregnancy

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Published Papers (2 papers)

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13 pages, 1703 KiB  
Article
Untargeted Metabolomic Biomarker Discovery for the Detection of Ectopic Pregnancy
by Onur Turkoglu, Ayse Citil, Ceren Katar, Ismail Mert, Robert A. Quinn, Ray O. Bahado-Singh and Stewart F. Graham
Int. J. Mol. Sci. 2024, 25(19), 10333; https://doi.org/10.3390/ijms251910333 - 26 Sep 2024
Viewed by 1252
Abstract
Ectopic pregnancy (EP) is the leading cause of maternal morbidity and mortality in the first trimester. Using an untargeted metabolomic approach, we sought to identify putative plasma biomarkers using tandem liquid chromatography–mass spectrometry for the detection of tubal EP. This case-control study included [...] Read more.
Ectopic pregnancy (EP) is the leading cause of maternal morbidity and mortality in the first trimester. Using an untargeted metabolomic approach, we sought to identify putative plasma biomarkers using tandem liquid chromatography–mass spectrometry for the detection of tubal EP. This case-control study included the prospective recruitment of 50 tubal EP cases and 50 early intrauterine pregnancy controls. To avoid over-fitting, logistic regression models were developed in a randomly selected discovery group (30 cases vs. 30 controls) and validated in the test group (20 cases vs. 20 controls). In total, 585 mass spectral features were detected, of which 221 molecular features were significantly altered in EP plasma (p < 0.05). Molecular networking and metabolite identification was employed using the Global Natural Products Social Molecular Networking (GNPS) database, which identified 97 metabolites at a high confidence level. Top significant metabolites include subclasses of sphingolipids, carnitines, glycerophosphocholines, and tryptophan metabolism. The top regression model, consisting of D-erythro-sphingosine and oleoyl-carnitine, was validated in a test group and achieved an area under receiving operating curve (AUC) (95% CI) = 0.962 (0.910–1) with a sensitivity of 100% and specificity of 95.9%. Metabolite alterations indicate alterations related to inflammation and abnormal placentation in EP. The validation of these metabolite biomarkers in the future could potentially result in improved early diagnosis. Full article
(This article belongs to the Special Issue Metabolomic Profiling in Prenatal Health Research)
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10 pages, 648 KiB  
Article
The Impact of Antenatal Corticosteroids on the Metabolome of Preterm Newborns: An Untargeted Approach
by Enrico Valerio, Marta Meneghelli, Matteo Stocchero, Alfonso Galderisi, Silvia Visentin, Luca Bonadies, Paola Pirillo, Gabriele Poloniato, Giuseppe Giordano and Eugenio Baraldi
Int. J. Mol. Sci. 2024, 25(11), 5860; https://doi.org/10.3390/ijms25115860 - 28 May 2024
Cited by 1 | Viewed by 1651
Abstract
We analyzed and compared variations in the urinary metabolome, as well as postnatal clinical outcomes among preterm infants, based on the timing of antenatal corticosteroid (ACS) administration in response to preterm labor onset in their mothers. This was a prospective observational study held [...] Read more.
We analyzed and compared variations in the urinary metabolome, as well as postnatal clinical outcomes among preterm infants, based on the timing of antenatal corticosteroid (ACS) administration in response to preterm labor onset in their mothers. This was a prospective observational study held in the Neonatal Intensive Care Unit, Department of Woman’s and Child’s Health, Padova University Hospital (Italy). A urine sample was obtained from each patient within 24 h of birth; Mass Spectrometry-based untargeted metabolomics analysis was then conducted. We searched for any significant disparities in the metabolomic profile of preterm newborns subjected to antenatal corticosteroid (ACS) treatment at varying timings; their correlation with clinical outcomes were also evaluated. The group receiving ACS within the optimal time window (1–7 days before delivery) exhibited elevated levels of cysteine, N-acetylglutamine, propionyl carnitine and 5-hydroxyindolacetic acid, coupled with a decrease in pipecolic acid. Clinically, this group demonstrated a reduced need for invasive ventilation (p = 0.04). In conclusion, metabolomics analysis identified several metabolites that discriminated preterm infants whose mothers received ACS within the recommended time window. Elevated levels of cysteine and 5-Hydroxyindoleacetic acid, metabolites characterized by antioxidant and anti-inflammatory properties, were observed in these infants. This metabolic profile correlated with improved respiratory outcomes, as evidenced by a reduced necessity for invasive ventilation at birth. Full article
(This article belongs to the Special Issue Metabolomic Profiling in Prenatal Health Research)
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