The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Methods for defining distinct bioenergetic profiles in platelets, lymphocytes, monocytes, and neutrophils, and the oxidative burst from human blood
Open accessAbstract
Peripheral blood mononuclear cells and platelets have long been recognized as having the potential to act as sensitive markers for mitochondrial dysfunction in a broad range of pathological conditions. However, the bioenergetic function of these cells has not been examined from the same donors, yet this is important for the selection of cell types for translational studies. Here, we demonstrate the measurement of cellular bioenergetics in isolated human monocytes, lymphocytes, and platelets, including the oxidative burst from neutrophils and monocytes from individual donors. With the exception of neutrophils, all cell types tested exhibited oxygen consumption that could be ascribed to oxidative phosphorylation with each having a distinct bioenergetic profile and distribution of respiratory chain proteins. In marked contrast, neutrophils were essentially unresponsive to mitochondrial respiratory inhibitors indicating that they have a minimal requirement for oxidative phosphorylation. In monocytes and neutrophils, we demonstrate the stimulation of the oxidative burst using phorbol 12-myristate 13-acetate and its validation in normal human subjects. Taken together, these data suggest that selection of cell type from blood cells is critical for assessing bioenergetic dysfunction and redox biology in translational research.
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
Chronic Granulomatous Disease: Report on a National Registry of 368 Patients
Winkelstein, J. A., Marino, M. C., Johnston, R. B., Boyle, J., Curnutte, J., Gallin, J. I., Malech, H. L., Holland, S. M., Ochs, H., Quie, P., et al. (2000) · Medicine · doi:10.1097/00005792-200005000-00003 · Cited by 1,728
Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development
van der Windt, G. J. W., Everts, B., Chang, C.-H., Curtis, J. D., Freitas, T. C., Amiel, E., Pearce, E. J., & Pearce, E. L. (2012) · Immunity · doi:10.1016/j.immuni.2011.12.007 · Cited by 1,540
Animal and human studies with the mitochondria‐targeted antioxidant MitoQ
Smith, R. A. J., & Murphy, M. P. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05627.x · Cited by 547
Energy Metabolism of Human Neutrophils during Phagocytosis
Borregaard, N., & Herlin, T. (1982) · Journal of Clinical Investigation · doi:10.1172/jci110647 · Cited by 503
Integration of cellular bioenergetics with mitochondrial quality control and autophagy
Hill, B. G., Benavides, G. A., Lancaster, J. R., Ballinger, S., Dell’Italia, L., Zhang, J., & Darley-Usmar, V. M. (2012) · bchm · doi:10.1515/hsz-2012-0198 · Cited by 490
Self-citationAssessing bioenergetic function in response to oxidative stress by metabolic profiling
Dranka, B. P., Benavides, G. A., Diers, A. R., Giordano, S., Zelickson, B. R., Reily, C., Zou, L., Chatham, J. C., Hill, B. G., Zhang, J., et al. (2011) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2011.08.005 · Cited by 436
Self-citationMitochondrial dysfunction in ataxia-telangiectasia
Valentin-Vega, Y. A., MacLean, K. H., Tait-Mulder, J., Milasta, S., Steeves, M., Dorsey, F. C., Cleveland, J. L., Green, D. R., & Kastan, M. B. (2012) · Blood · doi:10.1182/blood-2011-08-373639 · Cited by 365
Hultqvist, M., Olofsson, P., Holmberg, J., Bäckström, B. T., Tordsson, J., & Holmdahl, R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403831101 · Cited by 346
Pavlides, S., Vera, I., Gandara, R., Sneddon, S., Pestell, R. G., Mercier, I., Martinez-Outschoorn, U. E., Whitaker-Menezes, D., Howell, A., Sotgia, F., et al. (2012) · Antioxidants & Redox Signaling · doi:10.1089/ars.2011.4243 · Cited by 289
Hill, B. G., Dranka, B. P., Zou, L., Chatham, J. C., & Darley-Usmar, V. M. (2009) · Biochemical Journal · doi:10.1042/bj20090934 · Cited by 284
Self-citation
Cited by
Nolfi-Donegan, D., Braganza, A., & Shiva, S. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101674 · Cited by 1,488
Salabei, J. K., Gibb, A. A., & Hill, B. G. (2014) · Nature Protocols · doi:10.1038/nprot.2014.018 · Cited by 324
Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M. (2020) · Physiological Reviews · doi:10.1152/physrev.00018.2019 · Cited by 310
Cai, S., Zhao, M., Zhou, B., Yoshii, A., Bugg, D., Villet, O., Sahu, A., Olson, G. S., Davis, J., & Tian, R. (2023) · Journal of Clinical Investigation · doi:10.1172/jci159498 · Cited by 282
Discovery of GSK2795039, a Novel Small Molecule NADPH Oxidase 2 Inhibitor
Hirano, K., Chen, W. S., Chueng, A. L. W., Dunne, A. A., Seredenina, T., Filippova, A., Ramachandran, S., Bridges, A., Chaudry, L., Pettman, G., et al. (2015) · Antioxidants & Redox Signaling · doi:10.1089/ars.2014.6202 · Cited by 205
Metadata
- Authors
- Chacko, B. K., Kramer, P. A., Ravi, S., Johnson, M. S., Hardy, R. W., Ballinger, S. W., & Darley-Usmar, V. M.
- Venue
- Laboratory Investigation
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 93
- Issue
- 6
- Pages
- 690-700
- ISSN
- 0023-6837 (ISSN-L)
- OpenAlex
- W1972847358
- Cited by
- 298
- References
- 46
- FWCI
- 7.80
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Methods for defining distinct bioenergetic profiles in platelets, lymphocytes, monocytes, and neutrophils, and the oxidative burst from human blood. https://app.cochat.ai/papers/10.1038/labinvest.2013.53
- The paper
- Chacko, B. K., Kramer, P. A., Ravi, S., Johnson, M. S., Hardy, R. W., Ballinger, S. W., & Darley-Usmar, V. M. (2013). Methods for defining distinct bioenergetic profiles in platelets, lymphocytes, monocytes, and neutrophils, and the oxidative burst from human blood. Laboratory Investigation. https://doi.org/10.1038/labinvest.2013.53
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.