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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...

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Autores principales: Liu, Zhiyi, Pouli, Dimitra, Alonzo, Carlo A., Varone, Antonio, Karaliota, Sevasti, Quinn, Kyle P., Münger, Karl, Karalis, Katia P., Georgakoudi, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
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.
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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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