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Metabolites
Special Issues
Application of Metabolomics in Clinical Neonatology
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Application of Metabolomics in Clinical Neonatology

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 2665

Special Issue Editors

Prof. Dr. Kosmas Sarafidis

E-Mail Website
Guest Editor
School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
Interests: neonatology; metabolomics
Special Issues, Collections and Topics in MDPI journals
Dr. Helen G. Gika

E-Mail Website
Guest Editor
Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University Thessaloniki, Thessaloniki, Greece
Interests: bioanalysis of small molecules; metabolomics; QA/QC strategies in metabolomics; LC-MS; GC-MS; biomarker discovery; disease biomarkers; diagnostic/prognostic
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Perinatal medicine and neonatology have rapidly evolved over the last few decades, contributing significantly to the reduction in neonatal morbidity and mortality. Nevertheless, despite all advancements, there are still important gaps in knowledge, making the optimal management of various clinical conditions both in preterm and term sick neonates difficult.

In this context, metabolomics could be a valuable tool in the more in-depth understanding of disease(s) pathophysiology, and the development of appropriate diagnostic–prognostic biomarkers. This alternative approach along with the traditionally used diagnostic criteria could be of crucial importance in everyday clinical practice.

This Special Issue of the journal Metabolites is dedicated to the “Application of Metabolomics in Clinical Neonatology”, and investigators involved in neonatal care are encouraged to present relevant research data. There are many peculiarities that need to be addressed in this age group such as the maturational status of the infants or the role of therapeutical interventions applied (respiratory support, enteral-parenteral nutrition and drugs). Moreover, similar to other research fields, there are important challenges regarding sample type selection, metabolomics platforms and analytical techniques as well as interpretation of the results. Lastly, the growing amount of data derived to date should be prospectively validated existing in future studies as of their clinical utility as diagnostic–prognostic biomarkers. It is hoped that metabolomics—coupled with the principles of “precision medicine”—could significantly add to the management and outcome of critically ill neonates.

Prof. Dr. Kosmas Sarafidis
Dr. Helen G. Gika
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

  • neonate
  • disease pathophysiology
  • biomarkers
  • definition and diagnosis
  • outcome
  • omics
  • neonatal intensive care
  • neonatology
  • precision medicine

Published Papers (3 papers)

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Research

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10 pages, 1078 KiB  
Article
Metabolomic Analysis Reveals the Association of Severe Bronchopulmonary Dysplasia with Gut Microbiota and Oxidative Response in Extremely Preterm Infants
by Chih-Yung Chiu, Ming-Chou Chiang, Meng-Han Chiang, Reyin Lien, Ren-Huei Fu, Kai-Hsiang Hsu and Shih-Ming Chu
Metabolites 2024, 14(4), 219; https://doi.org/10.3390/metabo14040219 - 13 Apr 2024
Viewed by 452
Abstract
Bronchopulmonary dysplasia (BPD) is a chronic lung disease mainly affecting premature infants needing ventilation or oxygen for respiratory distress. This study aimed to evaluate the molecular linkages for BPD in very and extremely preterm infants using a metabolomics-based approach. A case-control study of [...] Read more.
Bronchopulmonary dysplasia (BPD) is a chronic lung disease mainly affecting premature infants needing ventilation or oxygen for respiratory distress. This study aimed to evaluate the molecular linkages for BPD in very and extremely preterm infants using a metabolomics-based approach. A case-control study of enrolling preterm infants born before 32 weeks gestational age (GA) was prospectively performed. These preterm infants were subsequently stratified into the following two groups for further analysis: no or mild BPD, and moderate or severe BPD based on the 2019 NICHD criteria. Urinary metabolomic profiling was performed using 1H-Nuclear magnetic resonance (NMR) spectroscopy coupled with partial least squares discriminant analysis (PLS-DA) at a corrected age of 6 months. Metabolites significantly differentially related to GA and BPD severity were performed between groups, and their roles in functional metabolic pathways were also assessed. A total of 89 preterm infants born before 32 weeks gestation and 50 infants born at term age (above 37 completed weeks’ gestation) served as controls and were enrolled into the study. There were 21 and 24 urinary metabolites identified to be significantly associated with GA and BPD severity, respectively (p < 0.05). Among them, N-phenylacetylglycine, hippurate, acetylsalicylate, gluconate, and indoxyl sulfate were five metabolites that were significantly higher, with the highest importance in both infants with GA < 28 weeks and those with moderate to severe BPD, whereas betaine and N,N-dimethylglycine were significantly lower (p < 0.05). Furthermore, ribose and a gluconate related pentose phosphate pathway were strongly associated with these infants (p < 0.01). In conclusion, urinary metabolomic analysis highlights the crucial role of gut microbiota dysbiosis in the pathogenesis of BPD in preterm infants, accompanied by metabolites related to diminished antioxidative capacity, prompting an aggressive antioxidation response in extremely preterm infants with severe BPD. Full article
(This article belongs to the Special Issue Application of Metabolomics in Clinical Neonatology)
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12 pages, 448 KiB  
Article
Gastric Fluid Metabolomics Predicting the Need for Surfactant Replacement Therapy in Very Preterm Infants Results of a Case–Control Study
by Konstantia Besiri, Olga Begou, Konstantinos Lallas, Angeliki Kontou, Eleni Agakidou, Olga Deda, Helen Gika, Eleni Verykouki and Kosmas Sarafidis
Metabolites 2024, 14(4), 196; https://doi.org/10.3390/metabo14040196 - 30 Mar 2024
Viewed by 592
Abstract
Respiratory distress syndrome (RDS) is a major morbidity of prematurity. In this case–control study, we prospectively evaluated whether untargeted metabolomic analysis (gas chromatography–mass spectrometry) of the gastric fluid could predict the need for surfactant in very preterm neonates. 43 infants with RDS necessitating [...] Read more.
Respiratory distress syndrome (RDS) is a major morbidity of prematurity. In this case–control study, we prospectively evaluated whether untargeted metabolomic analysis (gas chromatography–mass spectrometry) of the gastric fluid could predict the need for surfactant in very preterm neonates. 43 infants with RDS necessitating surfactant (cases) were compared with 30 infants who were not treated with surfactant (controls). Perinatal–neonatal characteristics were recorded. Significant differences in gastric fluid metabolites (L-proline, L-glycine, L-threonine, acetyl-L-serine) were observed between groups, but none could solely predict surfactant administration with high accuracy. Univariate analysis revealed significant predictors of surfactant administration involving gastric fluid metabolites (L-glycine, acetyl-L-serine) and clinical parameters (gestational age, Apgar scores, intubation in the delivery room). Multivariable models were constructed for significant clinical variables as well as for the combination of clinical variables and gastric fluid metabolites. The AUC value of the first model was 0.69 (95% CI 0.57–0.81) and of the second, 0.76 (95% CI 0.64–0.86), in which acetyl-L-serine and intubation in the delivery room were found to be significant predictors of surfactant therapy. This investigation adds to the current knowledge of biomarkers in preterm neonates with RDS, but further research is required to assess the predictive value of gastric fluid metabolomics in this field. Full article
(This article belongs to the Special Issue Application of Metabolomics in Clinical Neonatology)
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Review

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20 pages, 1078 KiB  
Review
Metabolomics in NEC: An Updated Review
by Alice Bosco, Claudia Piu, Marta Emanuela Picciau, Roberta Pintus, Vassilios Fanos and Angelica Dessì
Metabolites 2024, 14(1), 14; https://doi.org/10.3390/metabo14010014 - 24 Dec 2023
Viewed by 1377
Abstract
Necrotizing enterocolitis (NEC) represents the most common and lethal acute gastrointestinal emergency of newborns, mainly affecting those born prematurely. It can lead to severe long-term sequelae and the mortality rate is approximately 25%. Furthermore, the diagnosis is difficult, especially in the early stages, [...] Read more.
Necrotizing enterocolitis (NEC) represents the most common and lethal acute gastrointestinal emergency of newborns, mainly affecting those born prematurely. It can lead to severe long-term sequelae and the mortality rate is approximately 25%. Furthermore, the diagnosis is difficult, especially in the early stages, due to multifactorial pathogenesis and complex clinical pictures with mild and non-specific symptoms. In addition, the existing tests have poor diagnostic value. Thus, the scientific community has been focusing its attention on the identification of non-invasive biomarkers capable of prediction, early diagnosis and discriminating NEC from other intestinal diseases in order to intervene early and block the progression of the pathology. In this regard, the use of “omics” technologies, especially metabolomics and microbiomics, could be a fundamental synergistic strategy to study the pathophysiology of NEC. In addition, a deeper knowledge of the microbiota–host cross-talk can clarify the metabolic pathways potentially involved in the pathology, allowing for the identification of specific biomarkers. In this article, the authors analyze the state-of-the-art concerning the application of metabolomics and microbiota analysis to investigate this pathology and discuss the future possibility of the metabolomic fingerprint of patients for diagnostic purposes. Full article
(This article belongs to the Special Issue Application of Metabolomics in Clinical Neonatology)
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