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Metabolites
Special Issues
Diet, Drugs and the Gut Microbiome on the Metabolic Phenotype
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Diet, Drugs and the Gut Microbiome on the Metabolic Phenotype

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Nutrition and Metabolism".

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 4127

Special Issue Editor

Dr. Silke Heinzmann

E-Mail Website
Guest Editor
Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
Interests: metabolomics; biomarker identification; NMR spectroscopy; nutrition; gut microbiota; personalized healthcare

Special Issue Information

Dear Colleagues,

The metabolomics of biofluids capture endogenous and exogenous influences to the human metabolic phenotype. Among the strongest exogenous factors are dietary and drug intake and the gut microbiome. Many nutritional biomarkers have been identified so far, giving us a tool for dietary intake estimation and shedding light on the influence of nutrition on healthy living and the prevention of diseases. These markers are for acute intake, or rather define dietary patterns and food groups. On a similar note, drug intake and drug abuse can be monitored by these tools and be further extended to individual drug metabolism, i.e., pharmaco-metabonomics. Intertwined with these effectors are the co-metabolism of the gut microbiome, i.e., metabolome–microbiome co-metabolism, where bacteria metabolize various food components (e.g., polyphenols, choline) and act on drug metabolism.

The topic of this Special Issue is broadly defined to include human studies that describe external influences from diet, drugs and the microbiome on the metabolic phenotype as characterized by metabolomics. It shall include papers with new dietary and drug biomarkers and dedicated studies that link metabolites to bacterial species, approaches that dissect host–microbiome co-metabolism and the functionality of the microbiome. Papers that offer new technological aspects and data analysis approaches for biomarker identification are also welcome.

Dr. Silke Heinzmann
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. 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
  • human metabolic phenotype
  • delineage of endogenous and external
  • dietary biomarkers
  • diet–microbiome and drug–microbiome co-metabolism
  • pharmaco-metabonomics
  • gut-microbial co-metabolism
  • functional level of microbiota

Published Papers (2 papers)

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Research

11 pages, 9462 KiB  
Article
Cluster Analysis Statistical Spectroscopy for the Identification of Metabolites in 1H NMR Metabolomics
by Silke S. Heinzmann, Melanie Waldenberger, Annette Peters and Philippe Schmitt-Kopplin
Metabolites 2022, 12(10), 992; https://doi.org/10.3390/metabo12100992 - 19 Oct 2022
Cited by 1 | Viewed by 1854
Abstract
Metabolite identification in non-targeted NMR-based metabolomics remains a challenge. While many peaks of frequently occurring metabolites are assigned, there is a high number of unknowns in high-resolution NMR spectra, hampering biological conclusions for biomarker analysis. Here, we use a cluster analysis approach to [...] Read more.
Metabolite identification in non-targeted NMR-based metabolomics remains a challenge. While many peaks of frequently occurring metabolites are assigned, there is a high number of unknowns in high-resolution NMR spectra, hampering biological conclusions for biomarker analysis. Here, we use a cluster analysis approach to guide peak assignment via statistical correlations, which gives important information on possible structural and/or biological correlations from the NMR spectrum. Unknown peaks that cluster in close proximity to known peaks form hypotheses for their metabolite identities, thus, facilitating metabolite annotation. Subsequently, metabolite identification based on a database search, 2D NMR analysis and standard spiking is performed, whereas without a hypothesis, a full structural elucidation approach would be required. The approach allows a higher identification yield in NMR spectra, especially once pathway-related subclusters are identified. Full article
(This article belongs to the Special Issue Diet, Drugs and the Gut Microbiome on the Metabolic Phenotype)
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13 pages, 596 KiB  
Article
Fecal Bile Acids and Neutral Sterols Are Associated with Latent Microbial Subgroups in the Human Gut
by Taylor A. Breuninger, Nina Wawro, Dennis Freuer, Sandra Reitmeier, Anna Artati, Harald Grallert, Jerzy Adamski, Christa Meisinger, Annette Peters, Dirk Haller and Jakob Linseisen
Metabolites 2022, 12(9), 846; https://doi.org/10.3390/metabo12090846 - 8 Sep 2022
Cited by 2 | Viewed by 1695
Abstract
Bile acids, neutral sterols, and the gut microbiome are intricately intertwined and each affects human health and metabolism. However, much is still unknown about this relationship. This analysis included 1280 participants of the KORA FF4 study. Fecal metabolites (primary and secondary bile acids, [...] Read more.
Bile acids, neutral sterols, and the gut microbiome are intricately intertwined and each affects human health and metabolism. However, much is still unknown about this relationship. This analysis included 1280 participants of the KORA FF4 study. Fecal metabolites (primary and secondary bile acids, plant and animal sterols) were analyzed using a metabolomics approach. Dirichlet regression models were used to evaluate associations between the metabolites and twenty microbial subgroups that were previously identified using latent Dirichlet allocation. Significant associations were identified between 12 of 17 primary and secondary bile acids and several of the microbial subgroups. Three subgroups showed largely positive significant associations with bile acids, and six subgroups showed mostly inverse associations with fecal bile acids. We identified a trend where microbial subgroups that were previously associated with “healthy” factors were here inversely associated with fecal bile acid levels. Conversely, subgroups that were previously associated with “unhealthy” factors were positively associated with fecal bile acid levels. These results indicate that further research is necessary regarding bile acids and microbiota composition, particularly in relation to metabolic health. Full article
(This article belongs to the Special Issue Diet, Drugs and the Gut Microbiome on the Metabolic Phenotype)
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