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Daily Rhythms in the Concentrations of Various Amino Acids in Human Plasma

Wurtman, Richard J., Rose, Christopher M., Chou, Chuan, Larin, Frances F.·1968·New England Journal of Medicine

Abstract

Blood was collected at intervals during a 24-hour period from 23 healthy male volunteers on diets containing various amounts of protein; the plasma was assayed for 16 amino acids. Among subjects receiving 0.71 or 1.5 gm of protein per kilogram of body weight, the concentrations of tyrosine, phenylalanine and tryptophan tended to be lowest at 2:00 and highest at or after 10:30 a.m. Volunteers given a diet containing less than 0.04 gm of protein per kilogram showed similar fluctuations in the concentrations of the above amino acids and methionine, but peak plasma levels were observed somewhat earlier in the morning. All the amino acids studied showed some tendency to vary with time of day. Tyrosine, tryptophan, phenylalanine, methionine, cysteine and isoleucine underwent the greatest per cent changes; the amino acids whose plasma concentrations were highest (that is, alanine, glycine and glutamic acid) showed the least tendency to vary.

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Metadata

Authors
Wurtman, R. J., Rose, C. M., Chou, C., & Larin, F. F.
Venue
New England Journal of Medicine
Published
1968-07-25
Volume
279
Issue
4
Pages
171-175
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W1966343701
Cited by
192
References
0
FWCI
8.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Daily Rhythms in the Concentrations of Various Amino Acids in Human Plasma. https://app.cochat.ai/papers/10.1056/nejm196807252790401
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Wurtman, R. J., Rose, C. M., Chou, C., & Larin, F. F. (1968). Daily Rhythms in the Concentrations of Various Amino Acids in Human Plasma. New England Journal of Medicine. https://doi.org/10.1056/nejm196807252790401

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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.