OMICs and Complex Diseases

A topical collection in Biomedicines (ISSN 2227-9059). This collection belongs to the section "Molecular and Translational Medicine".

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Editors


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Collection Editor
Department of Complex Genetics and Epidemiology, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6228 GR Maastricht, The Netherlands
Interests: epidemiology; cancer; nutrition; public health; infectious diseases

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Collection Editor
Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, 6229ER Maastricht, The Netherlands
Interests: cancer; genetics; epidemiology

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Collection Editor
Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Interests: gen; diet; epidemiology; CVD

Topical Collection Information

Dear Colleagues,

Omics, which includes genomes, epigenomics, lipidomics, transcriptomics, proteomics, microbiomics, and metabolomics, is a fast-developing, multi-disciplinary, and growing discipline. In ways that were previously unimaginable, each of these domains provides the opportunity to comprehend and observe science from a global perspective. High-throughput methodologies can rapidly provide a global picture of the processes within cells at multiple levels, allowing for accelerated discoveries in health and disease.

Although the results of "omics" are still preliminary and little is known from large epidemiological studies, it is believed that they are inevitably important technologies for future discoveries in health and disease.

Recent breakthroughs in "omics" technologies have opened up various new opportunities for novel discoveries in the diagnosis, treatment, and prevention of diseases. These new "omics" technologies have the potential to significantly improve our understanding of the complex relationships that exist between lifestyle (food and nutrients), metabolism, and complex diseases.

Dr. Mostafa Dianatinasab
Dr. Anke Wesselius
Dr. Amin Salehi-Abargouei
Collection Editors

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Published Papers (1 paper)

2024

20 pages, 2071 KiB  
Review
Fourier Transform Ion Cyclotron Resonance Mass Spectrometry Applications for Metabolomics
by Darcy Cochran and Robert Powers
Biomedicines 2024, 12(8), 1786; https://doi.org/10.3390/biomedicines12081786 - 6 Aug 2024
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Abstract
Metabolomics is an interdisciplinary field that aims to study all metabolites < 1500 Da that are ubiquitously found within all organisms. Metabolomics is experiencing exponential growth and commonly relies on high-resolution mass spectrometry (HRMS). Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is [...] Read more.
Metabolomics is an interdisciplinary field that aims to study all metabolites < 1500 Da that are ubiquitously found within all organisms. Metabolomics is experiencing exponential growth and commonly relies on high-resolution mass spectrometry (HRMS). Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is a form of HRMS that is particularly well suited for metabolomics research due to its exceptionally high resolution (105–106) and sensitivity with a mass accuracy in parts per billion (ppb). In this regard, FT-ICR-MS can provide valuable insights into the metabolomics analysis of complex biological systems due to unique capabilities such as the easy separation of isobaric and isomeric species, isotopic fine structure analysis, spatial resolution of metabolites in cells and tissues, and a high confidence (<1 ppm mass error) in metabolite identification. Alternatively, the large and complex data sets, long acquisition times, high cost, and limited access mainly through national mass spectrometry facilities may impede the routine adoption of FT-ICR-MS by metabolomics researchers. This review examines recent applications of FT-ICR-MS metabolomics in the search for clinical and non-human biomarkers; for the analysis of food, beverage, and environmental samples; and for the high-resolution imaging of tissues and other biological samples. We provide recent examples of metabolomics studies that highlight the advantages of FT-ICR-MS for the detailed and reliable characterization of the metabolome. Additionally, we offer some practical considerations for implementing FT-ICR-MS into a research program by providing a list of FT-ICR-MS facilities and by identifying different high-throughput interfaces, varieties of sample types, analysis methods (e.g., van Krevelen diagrams, Kendrick mass defect plot, etc.), and sample preparation and handling protocols used in FT-ICR-MS experiments. Overall, FT-ICR-MS holds great promise as a vital research tool for advancing metabolomics investigations. Full article
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