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Endothelium-Dependent and-Independent Relaxation of Aortas from Copper-Deficient Rats

  • Jack T. Saari
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 311)

Summary

Isolated aortas from copper-deficlent rats exhibited reduced ability to relax in response to acetylcholine, histamine and sodium nitroprusside, which suggests that release of endothelium-derived relaxing factor or its interaction with the contractile mechanism is impaired.

Keywords

Sodium Nitroprusside Guanylate Cyclase Relaxation Response Toxic Trace Element Contractile Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    H. A. Hunsacker, M. Morita, and K. G. D. Allen, Marginal copper deficiency in rats. Aortal morphology of elastin and cholesterol values in first-generation adult males, Atherosclerosis 51:1–19 (1984).CrossRefGoogle Scholar
  2. 2.
    S. Kitano, Membrane and contractile properties of rat vascular tissue in copper deficient conditions, Circ. Res. 46:681–689 (1980).PubMedCrossRefGoogle Scholar
  3. 3.
    D. A. Schuschke, J. T. Saari, D. M. Ackermann, and F. N. Miller, Microvascular responses in copper deficient rats, Am. J. Physiol. 257:H1607–H1612 (1989).PubMedGoogle Scholar
  4. 4.
    R. F. Furchgott, and P. M. Vanhoutte, Endothelium-derived relaxing and contracting factors, FASEB J. 3:2007–2018 (1989).PubMedGoogle Scholar
  5. 5.
    J. R. Prohaska, Biochemical functions of copper in animals, in: “Essential and Toxic Trace Elements in Human Health and Disease,” A. S. Prasad, ed., Alan R Liss, Inc., New York, pp. 105–124 (1988).Google Scholar

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • Jack T. Saari
    • 1
  1. 1.USDA, ARS, Human Nutrition Research Center Grand ForksUSA

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