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Transport of potassium-42 from blood to tissue in isolated mammalian skeletal muscles
Abstract
A method is described for studying transcapillary diffusion of K 42 in isolated perfused muscles of dogs. Blood flow and arteriovenous K 42 differences are measured and blood-tissue clearance calculated by the Fick principle. A theoretical relation between blood flow and blood-tissue clearance is developed for a uniform circulation characterized by a constant permeability—surface area product (PS). The experimental observations conform reasonably closely to prediction. However, systematic variation in measured PS product with changes in blood flow and vascular resistance indicate that the capillary circulation is not uniform.
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Cited by
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Lortie, M., Beanlands, R. S. B., Yoshinaga, K., Klein, R., DaSilva, J. N., & deKemp, R. A. (2007) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-007-0478-2 · Cited by 451
Comparison of in vitro and in vivo models of drug transcytosis through the blood-brain barrier.
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Smart, K., Liu, H., Matuskey, D., Chen, M.-K., Torres, K., Nabulsi, N., Labaree, D., Ropchan, J., Hillmer, A. T., Huang, Y., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20946198 · Cited by 42
Metadata
- Authors
- Renkin, E. M.
- Venue
- American Journal of Physiology-Legacy Content
- Publisher
- American Physiological Society
- Published
- 1959-12-01
- Volume
- 197
- Issue
- 6
- Pages
- 1205-1210
- ISSN
- 0002-9513 (ISSN-L)
- OpenAlex
- W2465745915
- Cited by
- 723
- References
- 0
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Renkin, E. M. (1959). Transport of potassium-42 from blood to tissue in isolated mammalian skeletal muscles. American Journal of Physiology-Legacy Content. https://doi.org/10.1152/ajplegacy.1959.197.6.1205
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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.