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Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism

Blood-based bioenergetic profiling provides a minimally invasive assessment of mitochondrial health shown to be related to key features of aging. Previous studies show that blood cells recapitulate mitochondrial alterations in the central nervous system under pathological conditions, including the d...

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Autores principales: Tyrrell, Daniel J., Bharadwaj, Manish S., Jorgensen, Matthew J., Register, Thomas C., Shively, Carol, Andrews, Rachel N., Neth, Bryan, Keene, C. Dirk, Mintz, Akiva, Craft, Suzanne, Molina, Anthony J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643153/
https://www.ncbi.nlm.nih.gov/pubmed/29098063
http://dx.doi.org/10.1155/2017/7317251
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author Tyrrell, Daniel J.
Bharadwaj, Manish S.
Jorgensen, Matthew J.
Register, Thomas C.
Shively, Carol
Andrews, Rachel N.
Neth, Bryan
Keene, C. Dirk
Mintz, Akiva
Craft, Suzanne
Molina, Anthony J. A.
author_facet Tyrrell, Daniel J.
Bharadwaj, Manish S.
Jorgensen, Matthew J.
Register, Thomas C.
Shively, Carol
Andrews, Rachel N.
Neth, Bryan
Keene, C. Dirk
Mintz, Akiva
Craft, Suzanne
Molina, Anthony J. A.
author_sort Tyrrell, Daniel J.
collection PubMed
description Blood-based bioenergetic profiling provides a minimally invasive assessment of mitochondrial health shown to be related to key features of aging. Previous studies show that blood cells recapitulate mitochondrial alterations in the central nervous system under pathological conditions, including the development of Alzheimer's disease. In this study of nonhuman primates, we focus on mitochondrial function and bioenergetic capacity assessed by the respirometric profiling of monocytes, platelets, and frontal cortex mitochondria. Our data indicate that differences in the maximal respiratory capacity of brain mitochondria are reflected by CD14+ monocyte maximal respiratory capacity and platelet and monocyte bioenergetic health index. A subset of nonhuman primates also underwent [(18)F] fluorodeoxyglucose positron emission tomography (FDG-PET) imaging to assess brain glucose metabolism. Our results indicate that platelet respiratory capacity positively correlates to measures of glucose metabolism in multiple brain regions. Altogether, the results of this study provide early evidence that blood-based bioenergetic profiling is related to brain mitochondrial metabolism. While these measures cannot substitute for direct measures of brain metabolism, provided by measures such as FDG-PET, they may have utility as a metabolic biomarker and screening tool to identify individuals exhibiting systemic bioenergetic decline who may therefore be at risk for the development of neurodegenerative diseases.
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spelling pubmed-56431532017-11-02 Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism Tyrrell, Daniel J. Bharadwaj, Manish S. Jorgensen, Matthew J. Register, Thomas C. Shively, Carol Andrews, Rachel N. Neth, Bryan Keene, C. Dirk Mintz, Akiva Craft, Suzanne Molina, Anthony J. A. Oxid Med Cell Longev Research Article Blood-based bioenergetic profiling provides a minimally invasive assessment of mitochondrial health shown to be related to key features of aging. Previous studies show that blood cells recapitulate mitochondrial alterations in the central nervous system under pathological conditions, including the development of Alzheimer's disease. In this study of nonhuman primates, we focus on mitochondrial function and bioenergetic capacity assessed by the respirometric profiling of monocytes, platelets, and frontal cortex mitochondria. Our data indicate that differences in the maximal respiratory capacity of brain mitochondria are reflected by CD14+ monocyte maximal respiratory capacity and platelet and monocyte bioenergetic health index. A subset of nonhuman primates also underwent [(18)F] fluorodeoxyglucose positron emission tomography (FDG-PET) imaging to assess brain glucose metabolism. Our results indicate that platelet respiratory capacity positively correlates to measures of glucose metabolism in multiple brain regions. Altogether, the results of this study provide early evidence that blood-based bioenergetic profiling is related to brain mitochondrial metabolism. While these measures cannot substitute for direct measures of brain metabolism, provided by measures such as FDG-PET, they may have utility as a metabolic biomarker and screening tool to identify individuals exhibiting systemic bioenergetic decline who may therefore be at risk for the development of neurodegenerative diseases. Hindawi 2017 2017-10-02 /pmc/articles/PMC5643153/ /pubmed/29098063 http://dx.doi.org/10.1155/2017/7317251 Text en Copyright © 2017 Daniel J. Tyrrell et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tyrrell, Daniel J.
Bharadwaj, Manish S.
Jorgensen, Matthew J.
Register, Thomas C.
Shively, Carol
Andrews, Rachel N.
Neth, Bryan
Keene, C. Dirk
Mintz, Akiva
Craft, Suzanne
Molina, Anthony J. A.
Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title_full Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title_fullStr Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title_full_unstemmed Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title_short Blood-Based Bioenergetic Profiling Reflects Differences in Brain Bioenergetics and Metabolism
title_sort blood-based bioenergetic profiling reflects differences in brain bioenergetics and metabolism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643153/
https://www.ncbi.nlm.nih.gov/pubmed/29098063
http://dx.doi.org/10.1155/2017/7317251
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