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Protein-bound homocyst(e)ine. A possible risk factor for coronary artery disease.

Open access
Kang, S S, Wong, P W, Cook, H Y, Norusis, M, Messer, J V·1986·Journal of Clinical Investigation

Abstract

The development of atherosclerotic changes and thromboembolism are common features in homocystinurics. Hence, we postulate a positive correlation between the level of homocyst(e)ine in the blood and the occurrence of coronary artery disease. Homocysteine is found either as free homocystine, cysteine-homocysteine mixed disulfide, or protein-bound homocyst(e)ine. In nonhomocystinuric subjects, most homocysteine molecules are detectable in the protein-bound form. Thus, protein-bound homocyst(e)ine in stored plasma which reflected total plasma homocyst(e)ine was determined in 241 patients with coronary artery disease (173 males and 68 females). The mean +/- SD total plasma homocyst(e)ine was 5.41 +/- 1.62 nmol/ml in male patients, 4.37 +/- 1.09 nmol/ml in male controls, 5.66 +/- 1.93 nmol/ml in female patients, and 4.16 +/- 1.62 nmol/ml in female controls. The differences between the patients with coronary artery disease and the controls were statistically significant (P less than 0.0005).

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Metadata

Authors
Kang, S. S., Wong, P. W., Cook, H. Y., Norusis, M., & Messer, J. V.
Venue
Journal of Clinical Investigation
Published
1986-05-01
Volume
77
Issue
5
Pages
1482-1486
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2031374350
Cited by
302
References
0
FWCI
10.57
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Protein-bound homocyst(e)ine. A possible risk factor for coronary artery disease. https://app.cochat.ai/papers/10.1172/jci112461
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Kang, S. S., Wong, P. W., Cook, H. Y., Norusis, M., & Messer, J. V. (1986). Protein-bound homocyst(e)ine. A possible risk factor for coronary artery disease. Journal of Clinical Investigation. https://doi.org/10.1172/jci112461

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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.