Metabolic analysis as a driver for discovery, diagnosis, and therapy Review
| Authors: | DeBerardinis, R. J.; Keshari, K. R. |
| Review Title: | Metabolic analysis as a driver for discovery, diagnosis, and therapy |
| Abstract: | Metabolic anomalies contribute to tissue dysfunction. Current metabolism research spans from organelles to populations, and new technologies can accommodate investigation across these scales. Here, we review recent advancements in metabolic analysis, including small-scale metabolomics techniques amenable to organelles and rare cell types, functional screening to explore how cells respond to metabolic stress, and imaging approaches to non-invasively assess metabolic perturbations in diseases. We discuss how metabolomics provides an informative phenotypic dimension that complements genomic analysis in Mendelian and non-Mendelian disorders. We also outline pressing challenges and how addressing them may further clarify the biochemical basis of human disease. © 2022 The Author(s) |
| Keywords: | positron emission tomography; metabolism; molecular imaging; magnetic resonance; genomics; metabolomics; stable isotopes |
| Journal Title: | Cell |
| Volume: | 185 |
| Issue: | 15 |
| ISSN: | 0092-8674 |
| Publisher: | Cell Press |
| Date Published: | 2022-07-21 |
| Start Page: | 2678 |
| End Page: | 2689 |
| Language: | English |
| DOI: | 10.1016/j.cell.2022.06.029 |
| PUBMED: | 35839759 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Review -- Export Date: 1 August 2022 -- Source: Scopus |
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