The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Intra- and extra-cellular lactate shuttles
Abstract
The "lactate shuttle hypothesis" holds that lactate plays a key role in the distribution of carbohydrate potential energy that occurs among various tissue and cellular compartments such as between: cytosol and mitochondria, muscle and blood, blood and muscle, active and inactive muscles, white and red muscles, blood and heart, arterial blood and liver, liver and other tissues such as exercising muscle, intestine and portal blood, portal blood and liver, zones of the liver, and skin and blood. Studies on resting and exercising humans indicate that most lactate (75-80%) is disposed of through oxidation, with much of the remainder converted to glucose and glycogen. Lactate transport across cellular membranes occurs by means of facilitated exchange along pH and concentration gradients involving a family of lactate transport proteins, now called monocarboxylate transporters (MCTs). Current evidence is that muscle and other cell membrane lactate transporters are abundant with characteristics of high Km and Vmax. There appears to be long-term plasticity in the number of cell membrane transporters, but short-term regulation by allosteric modulation or phosphorylation is not known. In addition to cell membranes, mitochondria also contain monocarboxylate transporters (mMCT) and lactic dehydrogenase (mLDH). Therefore, mitochondrial monocarboxylate uptake and oxidation, rather than translocation of transporters to the cell surfaces, probably regulate lactate flux in vivo. Accordingly, the "lactate shuttle" hypothesis has been modified to include a new, intracellular component involving cytosolic to mitochondrial exchange. The intracellular lactate shuttle emphasizes the role of mitochondrial redox in the oxidation and disposal of lactate during exercise and other conditions.
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
Glucose metabolism during leg exercise in man
Wahren, J., Felig, P., Ahlborg, G., & Jorfeldt, L. (1971) · Journal of Clinical Investigation · doi:10.1172/jci106772 · Cited by 598
Cardiac and skeletal muscle mitochondria have a monocarboxylate transporter MCT1
Brooks, G. A., Brown, M. A., Butz, C. E., Sicurello, J. P., & Dubouchaud, H. (1999) · Journal of Applied Physiology · doi:10.1152/jappl.1999.87.5.1713 · Cited by 185
Self-citation
Cited by
Binder, R. K., Wonisch, M., Corra, U., Cohen-Solal, A., Vanhees, L., Saner, H., & Schmid, J.-P. (2008) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e328304fed4 · Cited by 487
Martinez-Outschoorn, U. E., Lisanti, M. P., & Sotgia, F. (2014) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2014.01.005 · Cited by 423
Lactate metabolism is associated with mammalian mitochondria
Chen, Y.-J., Mahieu, N. G., Huang, X., Singh, M., Crawford, P. A., Johnson, S. L., Gross, R. W., Schaefer, J., & Patti, G. J. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2172 · Cited by 326
The anaerobic threshold: 50+ years of controversy
Poole, D. C., Rossiter, H. B., Brooks, G. A., & Gladden, L. B. (2021) · The Journal of Physiology · doi:10.1113/jp279963 · Cited by 312
Self-citationLactate in contemporary biology: a phoenix risen
Brooks, G. A., Arevalo, J. A., Osmond, A. D., Leija, R. G., Curl, C. C., & Tovar, A. P. (2022) · The Journal of Physiology · doi:10.1113/jp280955 · Cited by 269
Self-citationLactate fuels the human brain during exercise.
Quistorff, B., Secher, N. H., & Van Lieshout, J. J. (2008) · The FASEB Journal · doi:10.1096/fj.08-106104 · Cited by 262
San-Millán, I., & Brooks, G. A. (2018) · Sports Medicine · doi:10.1007/s40279-017-0751-x · Cited by 264
Self-citationA simplified strategy for the estimation of the exercise ventilatory thresholds
Neder, J. A., & Stein, R. (2006) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000218141.90442.6c · Cited by 63
Optimizing training adaptations by manipulating glycogen
Baar, K., & McGee, S. (2008) · European Journal of Sport Science · doi:10.1080/17461390801919094 · Cited by 51
Personalizing physical exercise in a computational model of fuel homeostasis
Palumbo, M. C., Morettini, M., Tieri, P., Diele, F., Sacchetti, M., & Castiglione, F. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006073 · Cited by 36
Fructose Metabolism from a Functional Perspective: Implications for Athletes
Tappy, L., & Rosset, R. (2017) · Sports Medicine · doi:10.1007/s40279-017-0692-4 · Cited by 29
Masuda, S., Hayashi, T., Egawa, T., & Taguchi, S. (2009) · Experimental Gerontology · doi:10.1016/j.exger.2008.12.003 · Cited by 26
(2012) · Europe PMC (PubMed Central) · Cited by 23
Wang, B., Tian, Q., Zhang, Z., & Gong, H. (2012) · European Journal of Applied Physiology · doi:10.1007/s00421-011-2007-z · Cited by 15
Metadata
- Authors
- BROOKS, G. A.
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2000-04
- Volume
- 32
- Issue
- 4
- Pages
- 790-799
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2032878973
- Cited by
- 383
- References
- 2
- FWCI
- 4.62
- Type
- journal article
- Language
- en
- Open access
- closed
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.