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Metabolites
Special Issues
Recent Advances in Metabolomics (IECM2026)
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Recent Advances in Metabolomics (IECM2026)

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

Deadline for manuscript submissions: 31 March 2027 | Viewed by 1012

Special Issue Editors

Dr. Hunter Moseley

E-Mail Website
Guest Editor
Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40536, USA
Interests: systems biology; translational bioinformatics; biophysical informatics
Special Issues, Collections and Topics in MDPI journals
Dr. Reza Salek

E-Mail Website
Guest Editor
School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
Interests: bioinformatics; computational biology; systems biology; metabolomics
Special Issues, Collections and Topics in MDPI journals
Dr. Bei Gao

E-Mail Website
Guest Editor
School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: metabolomics; lipidomics; stable isotope tracing; gut microbiota; multi-omics; environmental toxicology; alcohol-related liver disease
Special Issues, Collections and Topics in MDPI journals
Dr. Leonardo Tenori

E-Mail Website
Guest Editor
Department of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, FI, Italy
Interests: applications of NMR-based metabolomics in biomedicine and in food science; NMR fingerprinting and profiling of biological samples; development of new analytical approaches for NMR metabolomics; development of new tools for NMR data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This special issue is for papers exploring and discussing the latest advancements in metabolomics within an ever-evolving scientific and technological landscape. We invite researchers from academia, clinical and industrial sectors to submit their original research findings, innovative methodologies, conceptual advances, and new applications in metabolomics. Part of the Special Issue will include selected invited contributions from the 5th International Electronic Conference of Metabolomics (IECM2026). However, we encourage other metabolomics-related contributions from the broader research community.

IECM2026 (https://sciforum.net/event/IECM2026) will be held online on 14 to 16 October 2026. The conference will feature six major sessions exploring diverse aspects and applications of metabolomics:

S1. Lipid and Nutrition Metabolomics

S2. Ecological and Environmental Metabolomics

S3. Advanced Data Analysis and Integration in Metabolomics

S4. Clinical Metabolomics and Drug Metabolism

S5. Advances in Metabolomics Technologies

S6. Plant and Animal Metabolism and Metabolic Modeling

You are encouraged to submit the abstract of your paper to IECM2026 when you submit to the Special Issue. This way, your work will also be presented at the conference. If a paper is accepted, the corresponding author will be considered for an invited oral presentation at IECM2026.

Dr. Hunter Moseley
Dr. Reza Salek
Dr. Bei Gao
Dr. Leonardo Tenori
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 250 words) can be sent to the Editorial Office for assessment.

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

  • lipidomics
  • nutrition metabolomics
  • environmental metabolomics
  • clinical metabolomics
  • metabolic modeling
  • metabolomics technology
  • data analysis and integration
  • drug metabolism

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

18 pages, 1911 KB  
Article
High-Resolution Magic Angle Spinning Metabolomic Profiling of IDH-Wild-Type Glioblastoma Reveals a Composite Surgical Sampling Signature Shaped by Clinical and Anatomical Tumor Features
by Julien Todeschi, Caroline Bund, Hassiba Outilaft, Hélène Cebula and Izzie-Jacques Namer
Metabolites 2026, 16(5), 296; https://doi.org/10.3390/metabo16050296 - 27 Apr 2026
Viewed by 317
Abstract
Background/Objectives: Tissue-based metabolomic readouts in IDH-wild-type glioblastoma may be strongly shaped by how tumor tissue is surgically accessed and sampled. We aimed to determine whether, and to what extent, surgical sampling context structures the HRMAS metabolic landscape, and to disentangle sampling-related contributions from [...] Read more.
Background/Objectives: Tissue-based metabolomic readouts in IDH-wild-type glioblastoma may be strongly shaped by how tumor tissue is surgically accessed and sampled. We aimed to determine whether, and to what extent, surgical sampling context structures the HRMAS metabolic landscape, and to disentangle sampling-related contributions from clinico-anatomical confounders. Methods: We retrospectively analyzed 99 patients with de novo IDH-wild-type glioblastoma (35 biopsy-only, 64 resection: 40 gross-total, 21 near-total, 3 subtotal), yielding 166 HRMAS spectra and 47 quantified metabolites (nmol/mg). Patient-level profiles were compared using PCA, metabolite-wise testing, pathway-level aggregation (10 pathways), and variance partitioning by PERMANOVA, both unadjusted and adjusted for age, WHO PS, deep-seated location, midline involvement, multifocality, MGMT methylation, and eloquent area. Sensitivity analyses included clinico-anatomically restricted subgroups, 15 canonical metabolite ratios, and Probabilistic Quotient Normalization. Intratumoral heterogeneity was assessed in 44 multi-sampled patients. Results: Biopsy-only and resection-derived cases separated along PC1 in unsupervised PCA (62.6% variance; p < 0.001), with 42/47 metabolites differing after FDR correction. However, the surgical group explained only 2.6% of the total variance (PERMANOVA p = 0.026), and this share was no longer significant after confounder adjustment (p = 0.39). Clinico-anatomical restriction progressively attenuated the effect (42/47 → 1/47 significant metabolites). Ratio-based and PQN analyses showed a residual compositional difference beyond scaling (13/15 ratios; 16/47 metabolites). Intratumoral heterogeneity was greater in resections and preserved in an n-matched analysis (p = 0.020). Conclusions: The apparent biopsy-versus-resection metabolic difference is largely a composite signal reflecting clinico-anatomical patient selection with a smaller tissue-composition contribution. Biopsy-only and resection-derived specimens should not be pooled uncritically in tissue-based metabolomic studies of glioblastoma. Full article
(This article belongs to the Special Issue Recent Advances in Metabolomics (IECM2026))
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