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Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast
Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846284/ https://www.ncbi.nlm.nih.gov/pubmed/29536043 http://dx.doi.org/10.1126/sciadv.aap9302 |
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author | Liu, Zhiyi Pouli, Dimitra Alonzo, Carlo A. Varone, Antonio Karaliota, Sevasti Quinn, Kyle P. Münger, Karl Karalis, Katia P. Georgakoudi, Irene |
author_facet | Liu, Zhiyi Pouli, Dimitra Alonzo, Carlo A. Varone, Antonio Karaliota, Sevasti Quinn, Kyle P. Münger, Karl Karalis, Katia P. Georgakoudi, Irene |
author_sort | Liu, Zhiyi |
collection | PubMed |
description | Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods for this purpose either are destructive or require the use of exogenous agents. Recent work has highlighted the potential of endogenous two-photon excited fluorescence (TPEF) as a method to monitor subtle metabolic changes; however, mechanistic understanding of the connections between the detected optical signal and the underlying metabolic pathways has been lacking. We present a quantitative approach to detecting both functional and structural metabolic biomarkers noninvasively, relying on endogenous TPEF from two coenzymes, NADH (reduced form of nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide). We perform multiparametric analysis of three optical biomarkers within intact, living cells and three-dimensional tissues: cellular redox state, NADH fluorescence lifetime, and mitochondrial clustering. We monitor the biomarkers in cells and tissues subjected to metabolic perturbations that trigger changes in distinct metabolic processes, including glycolysis and glutaminolysis, extrinsic and intrinsic mitochondrial uncoupling, and fatty acid oxidation and synthesis. We demonstrate that these optical biomarkers provide complementary insights into the underlying biological mechanisms. Thus, when used in combination, these biomarkers can serve as a valuable tool for sensitive, label-free identification of changes in specific metabolic pathways and characterization of the heterogeneity of the elicited responses with single-cell resolution. |
format | Online Article Text |
id | pubmed-5846284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58462842018-03-13 Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast Liu, Zhiyi Pouli, Dimitra Alonzo, Carlo A. Varone, Antonio Karaliota, Sevasti Quinn, Kyle P. Münger, Karl Karalis, Katia P. Georgakoudi, Irene Sci Adv Research Articles Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods for this purpose either are destructive or require the use of exogenous agents. Recent work has highlighted the potential of endogenous two-photon excited fluorescence (TPEF) as a method to monitor subtle metabolic changes; however, mechanistic understanding of the connections between the detected optical signal and the underlying metabolic pathways has been lacking. We present a quantitative approach to detecting both functional and structural metabolic biomarkers noninvasively, relying on endogenous TPEF from two coenzymes, NADH (reduced form of nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide). We perform multiparametric analysis of three optical biomarkers within intact, living cells and three-dimensional tissues: cellular redox state, NADH fluorescence lifetime, and mitochondrial clustering. We monitor the biomarkers in cells and tissues subjected to metabolic perturbations that trigger changes in distinct metabolic processes, including glycolysis and glutaminolysis, extrinsic and intrinsic mitochondrial uncoupling, and fatty acid oxidation and synthesis. We demonstrate that these optical biomarkers provide complementary insights into the underlying biological mechanisms. Thus, when used in combination, these biomarkers can serve as a valuable tool for sensitive, label-free identification of changes in specific metabolic pathways and characterization of the heterogeneity of the elicited responses with single-cell resolution. American Association for the Advancement of Science 2018-03-07 /pmc/articles/PMC5846284/ /pubmed/29536043 http://dx.doi.org/10.1126/sciadv.aap9302 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Zhiyi Pouli, Dimitra Alonzo, Carlo A. Varone, Antonio Karaliota, Sevasti Quinn, Kyle P. Münger, Karl Karalis, Katia P. Georgakoudi, Irene Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title | Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title_full | Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title_fullStr | Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title_full_unstemmed | Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title_short | Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
title_sort | mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846284/ https://www.ncbi.nlm.nih.gov/pubmed/29536043 http://dx.doi.org/10.1126/sciadv.aap9302 |
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