Mass Spectrometry-Based Technology for Metabolic Profiling

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 456

Special Issue Editors


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Guest Editor
Integrated BioAnalysis, Clinical Pharmacology and Safety Sciences, Bio-Pharmaceuticals R&D, AstraZeneca, The Discovery Centre (DISC), Biomedical Campus, 1 Francis Crick Ave, Trumpington, Cambridge CB2 0AA, UK
Interests: mass spectrometry imaging; metabolomics; lipidomics; pharmaceuticals
Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK
Interests: mass spectrometry imaging; proteomics; metabolomics; lipidomics and metallomics in 3D cell culture models and human tissue

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Guest Editor
Department of Physiology, Institute of Basic Medical Sciences, School of Basic Medicine Peking Union Medical College, Chinese Academy of Medical Sciences, 5 Dong Dan San Tiao, Beijing, China
Interests: metabolic analysis; metabolic imaging
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Special Issue Information

Dear Colleagues,

The upcoming Special Issue on “Mass Spectrometry-Based Technology for Metabolic Profiling” seeks to showcase pioneering research and reviews that propel the understanding and utilization of mass spectrometry (MS) in the field of metabolomics.

This Special Issue covers a wide array of topics illustrating the versatile applications of MS in metabolic profiling. Key highlights include innovations in MS instrumentation and methodologies, such as high-resolution mass spectrometry and novel ionization techniques that improve the detection of low-abundance metabolites. Contributions focusing on the integration of MS data with computational tools to understand metabolic networks and pathways are particularly encouraged. Another theme is the integration of spatial and biofluids/bulk metabolomics. Spatial metabolomics, using mass spectrometry imaging, offers insights by mapping the spatial distribution of metabolites within tissues, thereby complementing bulk metabolomics, which provides an overall view of metabolite composition. Submissions that explore the combined use of these techniques aim to demonstrate how spatial context adds depth to bulk analysis, offering a comprehensive understanding of intricate metabolic phenomena.

Submissions are welcomed from various fields, including clinical metabolomics, where MS aids in biomarker discovery and personalized medicine. Manuscripts exploring aspects like cancer metabolism, pharmaco-metabolomics, and environmental metabolomics will provide valuable insights into the broad applications of MS technology. This Special Issue aims to present a vital resource for researchers and practitioners, highlighting state-of-the-art advancements and fostering dialogue that inspires future innovations in MS-based metabolic profiling, bridging the gap between technological advancements and biomedical research applications.

Dr. Gregory Hamm
Dr. Laura Cole
Dr. Lin Wang
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
  • lipidomic
  • high-resolution mass spectrometry
  • untargeted and targeted
  • data processing
  • pathway mapping
  • fluxomic

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Published Papers (1 paper)

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Research

16 pages, 652 KiB  
Article
Uncovering Non-Invasive Biomarkers in Paediatric Severe Acute Asthma Using Targeted Exhaled Breath Analysis
by Sarah van den Berg, Annabel S. Zaat, Isabel F. van der Poel, Yoni E. van Dijk, Simone Hashimoto, Niels W. P. Rutjes, Suzanne W. J. Terheggen-Largo, Bart E. van Ewijk, Claudia Gagliani, Fleur L. Sondaal, Job B. M. van Woensel, Anke-Hilse Maitland-van der Zee, Paul Brinkman, Susanne J. H. Vijverberg and Berber Kapitein
Metabolites 2025, 15(4), 247; https://doi.org/10.3390/metabo15040247 - 3 Apr 2025
Viewed by 367
Abstract
Background: Severe acute asthma (SAA) in children can be life-threatening. There has been a significant rise in paediatric intensive care unit (PICU) admissions due to SAA over the past two decades. While asthma is a heterogeneous disease, its underlying pathophysiological pathways remain underexplored. [...] Read more.
Background: Severe acute asthma (SAA) in children can be life-threatening. There has been a significant rise in paediatric intensive care unit (PICU) admissions due to SAA over the past two decades. While asthma is a heterogeneous disease, its underlying pathophysiological pathways remain underexplored. This study aimed to assess the value of non-invasive targeted exhaled breath metabolomics analysis to better characterise SAA. Methods: Breath samples from 17 children admitted to the PICU with SAA (cases) and 27 children with controlled severe asthma (controls) were analysed using thermal desorption gas chromatography–mass spectrometry (TD-GC-MS). Results: A targeted volatile organic compound (VOC) analysis identified 25 compounds, of which 16 were shared between groups. Four VOCs were significantly more often present in SAA, and nine VOCs exhibited higher concentrations in SAA. Longitudinal analysis of VOCs from follow-up samples of 10 cases showed no significant temporal differences, reinforcing the reproducibility of identified biomarkers. Conclusions: This study exemplifies the potential of exhaled breath analysis to provide insights into the molecular background of SAA. Breath metabolomics may enable early recognition of severe asthma attacks and preventive therapeutic interventions in children with severe asthma. Full article
(This article belongs to the Special Issue Mass Spectrometry-Based Technology for Metabolic Profiling)
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