Mass Spectrometry-Based Metabolomics in Health and Disease: Targeted Analysis and Its Trends

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 585

Special Issue Editors


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Department of Biological Sciences, Faculty of Sciences, University of Calgary, Calgary, AB T2N 4Z6, Canada
Interests: metabolomics in critical care medicine; bacterial and viral diseases of the pulmonary system
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Guest Editor
Division of Pulmonary and Critical Care, Department of Medicine, University of Florida, Jacksonville, FL 32611, USA
Interests: sarcoidosis; nontuberculous mycobacteria; bronchial epithelial cells; ex-vivo lung model; animal model of pulmonary diseases
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metabolomics has become a crucial field for studying health and disease by providing insights into the biochemical processes behind physiological and pathological states. Mass spectrometry (MS) is a key analytical platform in metabolomics due to its sensitivity, specificity, and versatility. This Special Issue of Metabolites, titled "Mass Spectrometry-Based Metabolomics in Health and Disease: Targeted Analysis", emphasizes the targeted approach to quantifying specific metabolites. Unlike untargeted methods, targeted metabolomics offers precise and reliable measurements, making it particularly valuable for clinical research.

In health, targeted metabolomics helps investigate metabolic signatures linked to normal physiological processes, such as energy metabolism and immune function. In disease, it has revealed significant metabolic changes in conditions like cancer, cardiovascular disease, diabetes, and neurodegenerative disorders. MS advancements, including high-resolution MS and MS/MS, have further enhanced the ability to measure low-abundance metabolites crucial for understanding disease mechanisms.

Targeted MS-based metabolomics plays a vital role in clinical and translational research by accurately quantifying metabolites in biological samples like blood, urine, and tissues. This approach is crucial for identifying metabolic biomarkers that are essential for disease diagnosis, prognosis, and therapy monitoring. It also aids in understanding metabolic pathways, enabling researchers to track metabolites in networks of biochemical reactions. Targeted metabolomics, with its focus on specific molecules, reduces data complexity and enhances sensitivity, making it ideal for applications requiring precision.

By narrowing the scope to predefined molecules, targeted metabolomics offers enhanced sensitivity, reduced data complexity, and robust quantification, making it particularly suitable for clinical applications where precision is paramount.

This Special Issue presents research that leverages metabolomics to study metabolic wellness, discover biomarkers, and improve early detection strategies, paving the way for personalized health interventions and preventive care. In this Special Issue, we aim to provide an opportunity for researchers and experts in the field to share their new findings, methods, and ideas about metabolomics and health and diseases.

Dr. Mohammad Mehdi Banoei
Dr. Mehdi Mirsaeidi
Guest Editors

Manuscript Submission Information

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Keywords

  • mass spectrometry-based metabolomics
  • targeted metabolomics
  • health and disease
  • precision medi-cine
  • biomarker discovery
  • metabolic pathways

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Published Papers (1 paper)

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Review

24 pages, 2280 KiB  
Review
From Biomarker Discovery to Clinical Applications of Metabolomics in Glioblastoma
by Neja Šamec, Gloria Krapež, Cene Skubic, Ivana Jovčevska and Alja Videtič Paska
Metabolites 2025, 15(5), 295; https://doi.org/10.3390/metabo15050295 - 29 Apr 2025
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Abstract
Background/Objectives: In recent years, interest in studying changes in cancer metabolites has resulted in significant advances in the metabolomics field. Glioblastoma remains the most aggressive and lethal brain malignancy, which presents with notable metabolic reprogramming. Methods: We performed literature research from the PubMed [...] Read more.
Background/Objectives: In recent years, interest in studying changes in cancer metabolites has resulted in significant advances in the metabolomics field. Glioblastoma remains the most aggressive and lethal brain malignancy, which presents with notable metabolic reprogramming. Methods: We performed literature research from the PubMed database and considered research articles focused on the key metabolic pathways altered in glioblastoma (e.g., glycolysis, lipid metabolism, TCA cycle), the role of oncometabolites and metabolic plasticity, and the differential expression of metabolites in glioblastoma. Currently used metabolomics approaches can be either targeted, focusing on specific metabolites and pathways, or untargeted, which involves data-driven exploration of the metabolome and also results in the identification of new metabolites. Data processing and analysis is of great importance and can be improved with the integration of machine learning approaches for metabolite identification. Results: Changes in α/β-glucose, lactate, choline, and 2-hydroxyglutarate were detected in glioblastoma compared with non-tumor tissues. Different metabolites such as fumarate, tyrosine, and leucine, as well as citric acid, isocitric acid, shikimate, and GABA were detected in blood and CSF, respectively. Conclusions: Although promising new technological and bioinformatic approaches help us understand glioblastoma better, challenges associated with biomarker availability, tumor heterogeneity, interpatient variability, standardization, and reproducibility still remain. Metabolomics research, either alone or combined with genomics or proteomics (i.e., multiomics) in glioblastoma, can lead to biomarker identification, tracking of metabolic therapy response, discovery of novel metabolites and pathways, and identification of potential therapeutic targets. Full article
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