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      The Bioenergetic Health Index: a new concept in mitochondrial translational research

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      * , , * , , * , , * , , * , , , , § , * , , , * , , * , , , , * , ,
      Clinical Science (London, England : 1979)
      Portland Press Ltd.
      aging, cardiovascular disease, haplotype, hepatotoxicity, neurodegenerative disease, oxidative stress, reserve capacity, BHI, Bioenergetic Health Index, ETC, electron transport chain, FCCP, carbonyl cyanide p-trifluoromethoxyphenylhydrazone, HNE, hydroxynonenal, LDA, linear discriminant analysis, mtDNA, mitochondrial DNA, OCR, oxygen consumption rate, RNS, reactive nitrogen species, ROS, reactive oxygen species

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          Abstract

          Bioenergetics has become central to our understanding of pathological mechanisms, the development of new therapeutic strategies and as a biomarker for disease progression in neurodegeneration, diabetes, cancer and cardiovascular disease. A key concept is that the mitochondrion can act as the ‘canary in the coal mine’ by serving as an early warning of bioenergetic crisis in patient populations. We propose that new clinical tests to monitor changes in bioenergetics in patient populations are needed to take advantage of the early and sensitive ability of bioenergetics to determine severity and progression in complex and multifactorial diseases. With the recent development of high-throughput assays to measure cellular energetic function in the small number of cells that can be isolated from human blood these clinical tests are now feasible. We have shown that the sequential addition of well-characterized inhibitors of oxidative phosphorylation allows a bioenergetic profile to be measured in cells isolated from normal or pathological samples. From these data we propose that a single value–the Bioenergetic Health Index (BHI)–can be calculated to represent the patient's composite mitochondrial profile for a selected cell type. In the present Hypothesis paper, we discuss how BHI could serve as a dynamic index of bioenergetic health and how it can be measured in platelets and leucocytes. We propose that, ultimately, BHI has the potential to be a new biomarker for assessing patient health with both prognostic and diagnostic value.

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          Most cited references34

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          Fueling immunity: insights into metabolism and lymphocyte function.

          Lymphocytes face major metabolic challenges upon activation. They must meet the bioenergetic and biosynthetic demands of increased cell proliferation and also adapt to changing environmental conditions, in which nutrients and oxygen may be limiting. An emerging theme in immunology is that metabolic reprogramming and lymphocyte activation are intricately linked. However, why T cells adopt specific metabolic programs and the impact that these programs have on T cell function and, ultimately, immunological outcome remain unclear. Research on tumor cell metabolism has provided valuable insight into metabolic pathways important for cell proliferation and the influence of metabolites themselves on signal transduction and epigenetic programming. In this Review, we highlight emerging concepts regarding metabolic reprogramming in proliferating cells and discuss their potential impact on T cell fate and function.
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            Mitochondrial DNA mutations in disease and aging.

            The human mitochondrial genome involves over 1,000 genes, dispersed across the maternally inherited mitochondrial DNA (mtDNA) and the biparentally inherited nuclear DNA (nDNA). The mtDNA encodes 13 core proteins that determine the efficiency of the mitochondrial energy-generating system, oxidative phosphorylation (OXPHOS), plus the RNA genes for their translation within the mitochondrion. The mtDNA has a very high mutation rate, which results in three classes of clinically relevant mtDNA mutations: recently deleterious germline line mutations resulting in mitochondrial disease; ancient regional variants, a subset of which permitted humans to adapt to differences in their energetic environments; and somatic mutations that accumulate with age eroding mitochondrial energy production and providing the aging clock. Mutations in nDNA-encoded OXPHOS structural genes can also cause mitochondrial disease, and alterations in nDNA mitochondrial biogenesis genes can destabilize the mtDNA and lead to clinical phenotypes. Finally, when combined, nonpathogenic nDNA and mtDNA protein variants can be functionally incompatible and cause disease. The essential functions of the conserved mtDNA proteins and their high mutation rate raise the question as to why the cumulative mtDNA genetic load does not result in species extinction. Studies of mice harboring deleterious mtDNA mutations have shown that the mammalian ovary selectively eliminates the most deleterious mtDNA mutations. However, milder mtDNA mutations are transmitted through the ovary and the female germline and introduced into the general population. This unique genetic system provides a flexible method for generating genetic variation in cellular and organismal energetics that permits species to adapt to alterations in their regional energetic environment.
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              Transcriptional control of macrophage polarization.

              Macrophages are key regulators of many organ systems, including innate and adaptive immunity, systemic metabolism, hematopoiesis, vasculogenesis, malignancy, and reproduction. The pleiotropic roles of macrophages are mirrored by similarly diverse cellular phenotypes. A simplified schema classifies macrophages as M1, classically activated macrophages, or M2, alternatively activated macrophages. These cells are characterized by their expression of cell surface markers, secreted cytokines and chemokines, and transcription and epigenetic pathways. Transcriptional regulation is central to the differential speciation of macrophages, and several major pathways have been described as essential for subset differentiation. In this review, we discuss the transcriptional regulation of macrophages.
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                Author and article information

                Journal
                Clin Sci (Lond)
                Clin. Sci
                cls
                CS
                Clinical Science (London, England : 1979)
                Portland Press Ltd.
                0143-5221
                1470-8736
                29 May 2014
                1 September 2014
                : 127
                : Pt 6
                : 367-373
                Affiliations
                *Mitochondrial Medicine Laboratory, University of Alabama at Birmingham, Birmingham, AL 35294, U.S.A.
                †Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, U.S.A.
                ‡Seahorse Bioscience, North Billerica, MA 01862, U.S.A.
                §Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, U.S.A.
                ∥Department of Veteran Affairs Medical Center, Birmingham, AL 35294, U.S.A.
                ¶Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, U.S.A.
                Author notes

                1Victor Darley-Usmar is a member of the Seahorse Biosciences Scientific Advisory Board.

                Correspondence: Professor Victor M. Darley-Usmar (email darley@ 123456uab.edu ).
                Article
                CS20140101
                10.1042/CS20140101
                4202728
                24895057
                a8d20393-4fe9-4571-a9c4-5658673c498a
                © 2014 The author(s) has paid for this article to be freely available under the terms of the Creative Commons Attribution Licence (CC-BY)(http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 February 2014
                : 14 April 2014
                : 2 May 2014
                Page count
                Figures: 3, Equations: 1, References: 49, Pages: 7
                Categories
                Hypothesis
                S4
                S9

                Medicine
                aging,cardiovascular disease,haplotype,hepatotoxicity,neurodegenerative disease,oxidative stress,reserve capacity,bhi, bioenergetic health index,etc, electron transport chain,fccp, carbonyl cyanide p-trifluoromethoxyphenylhydrazone,hne, hydroxynonenal,lda, linear discriminant analysis,mtdna, mitochondrial dna,ocr, oxygen consumption rate,rns, reactive nitrogen species,ros, reactive oxygen species

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