The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Bioenergetic Health Index: a new concept in mitochondrial translational research
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684
Metabolic Pathways in Immune Cell Activation and Quiescence
Pearce, E. L., & Pearce, E. J. (2013) · Immunity · doi:10.1016/j.immuni.2013.04.005 · Cited by 1,692
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363
Metabolic switching and fuel choice during T‐cell differentiation and memory development
van der Windt, G. J. W., & Pearce, E. L. (2012) · Immunological Reviews · doi:10.1111/j.1600-065x.2012.01150.x · Cited by 563
Cited by
Nolfi-Donegan, D., Braganza, A., & Shiva, S. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101674 · Cited by 1,488
ACG Clinical Guideline: Alcoholic Liver Disease
Singal, A. K., Bataller, R., Ahn, J., Kamath, P. S., & Shah, V. H. (2018) · American Journal of Gastroenterology · doi:10.1038/ajg.2017.469 · Cited by 835
Self-citationKalogeris, T., Baines, C. P., Krenz, M., & Korthuis, R. J. (2016) · Comprehensive Physiology · doi:10.1002/cphy.c160006 · Cited by 718
Postoperative atrial fibrillation following cardiac surgery: a persistent complication
Greenberg, J. W., Lancaster, T. S., Schuessler, R. B., & Melby, S. J. (2017) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezx039 · Cited by 417
Cortese-Krott, M. M., Koning, A., Kuhnle, G. G. C., Nagy, P., Bianco, C. L., Pasch, A., Wink, D. A., Fukuto, J. M., Jackson, A. A., van Goor, H., et al. (2017) · Antioxidants & Redox Signaling · doi:10.1089/ars.2017.7083 · Cited by 366
Metadata
- Authors
- Chacko, B. K., Kramer, P. A., Ravi, S., Benavides, G. A., Mitchell, T., Dranka, B. P., Ferrick, D., Singal, A. K., Ballinger, S. W., Bailey, S. M., Hardy, R. W., Zhang, J., Zhi, D., & Darley-Usmar, V. M.
- Venue
- Clinical Science
- Publisher
- Portland Press Ltd.
- Published
- 2014-05-29
- Volume
- 127
- Issue
- 6
- Pages
- 367-373
- ISSN
- 0143-5221 (ISSN-L)
- 1470-8736
- OpenAlex
- W2083837493
- Cited by
- 376
- References
- 4
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.