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Deutsch L, Debevec T, Millet GP, Osredkar D, Opara S, Šket R, Murovec B, Mramor M, Plavec J, Stres B. Urine and Fecal 1H-NMR Metabolomes Differ Significantly between Pre-Term and Full-Term Born Physically Fit Healthy Adult Males. Metabolites 2022; 12:metabo12060536. [PMID: 35736470 PMCID: PMC9228004 DOI: 10.3390/metabo12060536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/30/2022] [Accepted: 06/02/2022] [Indexed: 12/04/2022] Open
Abstract
Preterm birth (before 37 weeks gestation) accounts for ~10% of births worldwide and remains one of the leading causes of death in children under 5 years of age. Preterm born adults have been consistently shown to be at an increased risk for chronic disorders including cardiovascular, endocrine/metabolic, respiratory, renal, neurologic, and psychiatric disorders that result in increased death risk. Oxidative stress was shown to be an important risk factor for hypertension, metabolic syndrome and lung disease (reduced pulmonary function, long-term obstructive pulmonary disease, respiratory infections, and sleep disturbances). The aim of this study was to explore the differences between preterm and full-term male participants' levels of urine and fecal proton nuclear magnetic resonance (1H-NMR) metabolomes, during rest and exercise in normoxia and hypoxia and to assess general differences in human gut-microbiomes through metagenomics at the level of taxonomy, diversity, functional genes, enzymatic reactions, metabolic pathways and predicted gut metabolites. Significant differences existed between the two groups based on the analysis of 1H-NMR urine and fecal metabolomes and their respective metabolic pathways, enabling the elucidation of a complex set of microbiome related metabolic biomarkers, supporting the idea of distinct host-microbiome interactions between the two groups and enabling the efficient classification of samples; however, this could not be directed to specific taxonomic characteristics.
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Affiliation(s)
- Leon Deutsch
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, SI-1000 Ljubljana, Slovenia; (L.D.); (S.O.)
| | - Tadej Debevec
- Faculty of Sports, University of Ljubljana, SI-1000 Ljubljana, Slovenia;
- Department of Automation, Biocybernetics and Robotics, Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia
| | - Gregoire P. Millet
- Institute of Sport Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland;
| | - Damjan Osredkar
- Department of Pediatric Neurology, University Children’s Hospital, University Medical Centre Ljubljana, SI-1000 Ljubljana, Slovenia;
- Faculty of Medicine, University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - Simona Opara
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, SI-1000 Ljubljana, Slovenia; (L.D.); (S.O.)
| | - Robert Šket
- Institute for Special Laboratory Diagnostics, University Children’s Hospital, University Medical Centre Ljubljana, SI-1000 Ljubljana, Slovenia;
| | - Boštjan Murovec
- Faculty of Electrical Engineering, University of Ljubljana, Jamova 2, SI-1000 Ljubljana, Slovenia;
| | - Minca Mramor
- Department of Infectious Diseases, University Medical Centre Ljubljana, SI-1000 Ljubljana, Slovenia;
| | - Janez Plavec
- National Institute of Chemistry, NMR Center, SI-1000 Ljubljana, Slovenia;
| | - Blaz Stres
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, SI-1000 Ljubljana, Slovenia; (L.D.); (S.O.)
- Department of Automation, Biocybernetics and Robotics, Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia
- Institute of Sanitary Engineering, Faculty of Civil and Geodetic Engineering, University of Ljubljana, SI-1000 Ljubljana, Slovenia
- Correspondence: ; Tel.: +386-4156-7633
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