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Metabolites
Special Issues
Metabolomics in Clinical Research
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Metabolomics in Clinical Research

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

Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 10794

Special Issue Editors

Dr. Martin Giera

E-Mail Website
Guest Editor
Center for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
Interests: lipidomics; inflammation; (clinical) metabolomics; bioactive metabolite
Dr. Julijana Ivanišević

E-Mail Website
Guest Editor
Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 19, 1005 Lausanne, Switzerland
Interests: metabolite role and activity; metabolic phenotyping of human population; quantitative metabolomic and lipidomic approaches; sexual dimorphism in metabolism; stratified and personalized approach to medicine
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metabolomics as a technology to comprehensively map an organism’s molecular machinery has significantly contributed to the understanding of cellular and molecular processes. Metabolomics data-driven findings have made a significant impact in metabolic disease research (i.e., in cancer, diabetes, and many more) through fundamental biomedical and several large(r)-scale human population studies. Metabolomics applied to clinical research is focused on patho-physiological processes and has allowed us to better understand disease-related molecular mechanisms and spurred great hope to find new diagnostic means and treatment possibilities. Although only a handful of clinically relevant biomarkers have been discovered, interest in metabolomics and its application to clinical research and routine is still increasing. An important reason for this development is a recent paradigm shift in metabolomics-driven research. While most metabolomics studies have focused on biomarker identification, the field at present is heading towards a better systems-wide understanding of disease-relevant processes and the identification of causative rather than descriptive relationships between phenotype and metabolome. Nevertheless, this development warrants novel and improved concepts and technologies. In this Special Issue, we will focus on recent developments and applications in clinical metabolomics, leading towards a better understanding of patho-physiological processes and disease-relevant mechanisms. We also wish to shed light on bioactive endogenous metabolites and their role in health and in disease, to modulate the pathophysiological processes and the disease phenotype.

Dr. Martin Giera
Dr. Julijana Ivanišević
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

  • Metabolomics
  • Lipidomics
  • Quantitative approaches
  • Translational research
  • Clinical research
  • Metabolic phenotyping of human population
  • Stratified / Personalized approach to medicine

Published Papers (3 papers)

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Research

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15 pages, 933 KiB  
Article
Sedentariness and Urinary Metabolite Profile in Type 2 Diabetic Patients, a Cross-Sectional Study
by Elisa Benetti, Erica Liberto, Davide Bressanello, Valentina Bordano, Arianna C. Rosa, Gianluca Miglio, Jonida Haxhi, Giuseppe Pugliese, Stefano Balducci and Chiara Cordero
Metabolites 2020, 10(5), 205; https://doi.org/10.3390/metabo10050205 - 18 May 2020
Cited by 7 | Viewed by 2320
Abstract
Recent findings indicate a significant association between sedentary (SED)-time and type 2 diabetes mellitus (T2DM). The aim of this study was to investigate whether different levels of SED-time could impact on biochemical and physiological processes occurring in sedentary and physically inactive T2DM patients. [...] Read more.
Recent findings indicate a significant association between sedentary (SED)-time and type 2 diabetes mellitus (T2DM). The aim of this study was to investigate whether different levels of SED-time could impact on biochemical and physiological processes occurring in sedentary and physically inactive T2DM patients. In particular, patients from the “Italian Diabetes and Exercise Study (IDES)_2 trial belonging to the first and fourth quartile of SED-time were compared. Urine samples were analyzed by comprehensive two-dimensional gas chromatography (GC × GC) with parallel detection by mass spectrometry and flame ionization detection (GC × 2GC-MS/FID). This platform enables accurate profiling and fingerprinting of urinary metabolites while maximizing the overall information capacity, quantitation reliability, and response linearity. Moreover, using advanced pattern recognition, the fingerprinting process was extended to untargeted and targeted features, revealing diagnostic urinary fingerprints between groups. Quantitative metabolomics was then applied to analytes of relevance for robust comparisons. Increased levels of glycine, L-valine, L-threonine, L-phenylalanine, L-leucine, L-alanine, succinic acid, 2-ketoglutaric acid, xylitol, and ribitol were revealed in samples from less sedentary women. In conclusion, SED-time is associated with changes in urine metabolome signatures. These preliminary results suggest that reducing SED-time could be a strategy to improve the health status of a large proportion of diabetic patients. Full article
(This article belongs to the Special Issue Metabolomics in Clinical Research)
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13 pages, 281 KiB  
Article
1H NMR Based Metabolomics in Human Sepsis and Healthy Serum
by Henna Jaurila, Vesa Koivukangas, Marjo Koskela, Fiia Gäddnäs, Sami Myllymaa, Arja Kullaa, Tuula Salo and Tero I. Ala-Kokko
Metabolites 2020, 10(2), 70; https://doi.org/10.3390/metabo10020070 - 15 Feb 2020
Cited by 30 | Viewed by 3035
Abstract
Early diagnosis is essential but challenging in severe sepsis. Quantifying and comparing metabolite concentrations in serum has been suggested as a new diagnostic tool. Here we used proton nuclear magnetic resonance spectroscopy (1H NMR) based metabolomics to analyze the possible differences [...] Read more.
Early diagnosis is essential but challenging in severe sepsis. Quantifying and comparing metabolite concentrations in serum has been suggested as a new diagnostic tool. Here we used proton nuclear magnetic resonance spectroscopy (1H NMR) based metabolomics to analyze the possible differences in metabolite concentrations between sera taken from septic patients and healthy controls, as well as between sera of surviving and non-surviving sepsis patients. We took serum samples from 44 sepsis patients when the first sepsis induced organ dysfunction was found. Serum samples were also collected from 14 age and gender matched healthy controls. The samples were analyzed by quantitative 1H NMR spectroscopy for non-lipid metabolites. We found that the serum levels of glucose, glycine, 3-hydroxybutyrate, creatinine and glycoprotein acetyls (mostly alpha-1-acid glycoprotein, AGP) were significantly (p < 0.05) higher in sepsis compared to healthy sera, whereas citrate and histidine were significantly (p < 0.05) lower in sepsis patients compared to healthy controls. We found statistically significantly higher serum lactate and citrate concentrations in non-survivors compared to 30-day survivors. According to our study, 3-hydroxybutyrate, citrate, glycine, histidine, and AGP are candidates for further studies to enable identification of phenotype association in the early stages of sepsis. Full article
(This article belongs to the Special Issue Metabolomics in Clinical Research)

Review

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30 pages, 1127 KiB  
Review
Metabolomics in Central Sensitivity Syndromes
by Joseph S. Miller, Luis Rodriguez-Saona and Kevin V. Hackshaw
Metabolites 2020, 10(4), 164; https://doi.org/10.3390/metabo10040164 - 24 Apr 2020
Cited by 14 | Viewed by 4588
Abstract
Central sensitization syndromes are a collection of frequently painful disorders that contribute to decreased quality of life and increased risk of opiate abuse. Although these disorders cause significant morbidity, they frequently lack reliable diagnostic tests. As such, technologies that can identify key moieties [...] Read more.
Central sensitization syndromes are a collection of frequently painful disorders that contribute to decreased quality of life and increased risk of opiate abuse. Although these disorders cause significant morbidity, they frequently lack reliable diagnostic tests. As such, technologies that can identify key moieties in central sensitization disorders may contribute to the identification of novel therapeutic targets and more precise treatment options. The analysis of small molecules in biological samples through metabolomics has improved greatly and may be the technology needed to identify key moieties in difficult to diagnose diseases. In this review, we discuss the current state of metabolomics as it relates to central sensitization disorders. From initial literature review until Feb 2020, PubMed, Embase, and Scopus were searched for applicable studies. We included cohort studies, case series, and interventional studies of both adults and children affected by central sensitivity syndromes. The majority of metabolomic studies addressing a CSS found significantly altered metabolites that allowed for differentiation of CSS patients from healthy controls. Therefore, the published literature overwhelmingly supports the use of metabolomics in CSS. Further research into these altered metabolites and their respective metabolic pathways may provide more reliable and effective therapeutics for these syndromes. Full article
(This article belongs to the Special Issue Metabolomics in Clinical Research)
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