The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Monocarboxylate transporters in the brain and in cancer
Open accessAbstract
Monocarboxylate transporters (MCTs) constitute a family of 14 members among which MCT1-4 facilitate the passive transport of monocarboxylates such as lactate, pyruvate and ketone bodies together with protons across cell membranes. Their anchorage and activity at the plasma membrane requires interaction with chaperon protein such as basigin/CD147 and embigin/gp70. MCT1-4 are expressed in different tissues where they play important roles in physiological and pathological processes. This review focuses on the brain and on cancer. In the brain, MCTs control the delivery of lactate, produced by astrocytes, to neurons, where it is used as an oxidative fuel. Consequently, MCT dysfunctions are associated with pathologies of the central nervous system encompassing neurodegeneration and cognitive defects, epilepsy and metabolic disorders. In tumors, MCTs control the exchange of lactate and other monocarboxylates between glycolytic and oxidative cancer cells, between stromal and cancer cells and between glycolytic cells and endothelial cells. Lactate is not only a metabolic waste for glycolytic cells and a metabolic fuel for oxidative cells, but it also behaves as a signaling agent that promotes angiogenesis and as an immunosuppressive metabolite. Because MCTs gate the activities of lactate, drugs targeting these transporters have been developed that could constitute new anticancer treatments. This article is part of a Special Issue entitled: Mitochondrial Channels edited by Pierre Sonveaux, Pierre Maechler and Jean-Claude Martinou.
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
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Functional Polarization of Tumour-Associated Macrophages by Tumour-Derived Lactic Acid
Colegio, O. R., Chu, N.-Q., Szabo, A. L., Chu, T., Rhebergen, A. M., Jairam, V., Cyrus, N., Brokowski, C. E., Eisenbarth, S. C., Phillips, G. M., et al. (2014) · Nature · doi:10.1038/nature13490 · Cited by 3,046
Pellerin, L., & Magistretti, P. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.22.10625 · Cited by 2,927
Self-citationDefining the role of hypoxia-inducible factor 1 in cancer biology and therapeutics
Semenza, G. L. (2010) · Oncogene · doi:10.1038/onc.2009.441 · Cited by 1,712
Astrocyte-Neuron Lactate Transport Is Required for Long-Term Memory Formation
Suzuki, A., Stern, S. A., Bozdagi, O., Huntley, G. W., Walker, R. H., Magistretti, P. J., & Alberini, C. M. (2011) · Cell · doi:10.1016/j.cell.2011.02.018 · Cited by 1,711
Oligodendroglia metabolically support axons and contribute to neurodegeneration
Lee, Y., Morrison, B. M., Li, Y., Lengacher, S., Farah, M. H., Hoffman, P. N., Liu, Y., Tsingalia, A., Jin, L., Zhang, P.-W., et al. (2012) · Nature · doi:10.1038/nature11314 · Cited by 1,664
Self-citationGlycolytic oligodendrocytes maintain myelin and long-term axonal integrity
Fünfschilling, U., Supplie, L. M., Mahad, D., Boretius, S., Saab, A. S., Edgar, J., Brinkmann, B. G., Kassmann, C. M., Tzvetanova, I. D., Möbius, W., et al. (2012) · Nature · doi:10.1038/nature11007 · Cited by 1,523
Human metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017
Végran, F., Boidot, R., Michiels, C., Sonveaux, P., & Feron, O. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-2828 · Cited by 816
Cited by
Eelen, G., de Zeeuw, P., Treps, L., Harjes, U., Wong, B. W., & Carmeliet, P. (2018) · Physiological Reviews · doi:10.1152/physrev.00001.2017 · Cited by 572
Lactate in the tumour microenvironment: From immune modulation to therapy
Wang, Z.-H., Peng, W.-B., Zhang, P., Yang, X.-P., & Zhou, Q. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103627 · Cited by 528
Brown, T. P., & Ganapathy, V. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.107451 · Cited by 481
Development and application of hyaluronic acid in tumor targeting drug delivery
Luo, Z., Dai, Y., & Gao, H. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.06.004 · Cited by 379
Short‐Chain Fatty Acid Transporters: Role in Colonic Homeostasis
Sivaprakasam, S., Bhutia, Y. D., Yang, S., & Ganapathy, V. (2017) · Comprehensive Physiology · doi:10.1002/cphy.c170014 · Cited by 266
Metadata
- Authors
- Pérez-Escuredo, J., Van Hée, V. F., Sboarina, M., Falces, J., Payen, V. L., Pellerin, L., & Sonveaux, P.
- Venue
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 1863
- Issue
- 10
- Pages
- 2481-2497
- ISSN
- 0167-4889 (ISSN-L)
- OpenAlex
- W2297957816
- Cited by
- 402
- References
- 24
- FWCI
- 11.28
- 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: Monocarboxylate transporters in the brain and in cancer. https://app.cochat.ai/papers/10.1016/j.bbamcr.2016.03.013
- The paper
- Pérez-Escuredo, J., Van Hée, V. F., Sboarina, M., Falces, J., Payen, V. L., Pellerin, L., & Sonveaux, P. (2016). Monocarboxylate transporters in the brain and in cancer. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. https://doi.org/10.1016/j.bbamcr.2016.03.013
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.
