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BLOOD LEVELS OF 17-HYDROXYCORTICOSTEROIDS IN NORMAL PREGNANCY

GEMZELL, CARL A.·1953·The Journal of Clinical Endocrinology & Metabolism

Abstract

IT IS well known that the adrenals enlarge during the course of pregnancy. The enlargement is based on proliferation of the cortical cells. As it is reversible and disappears with the termination of pregnancy, it seems to be a purely functional alteration. There is little specific evidence to clarify its significance. Methods have been developed whereby adrenal activity can be investigated indirectly by the measurement of substances in blood or urine derived from the adrenal cortex. Using a bioassay based on the ability of adrenocortical substances to cause deposition of glycogen in the liver of adrenalectomized mice, Venning (1) has studied the output of these substances in the urine of pregnant women and reported a marked increase, especially in the last trimester. Using chemical methods for the determination of the same urinary steroids, other workers (2, 3) have shown a similar rise to about twice the normal value during the third trimester. In 7 pregnant women in the eighth month of gestation, Cope et al. (4) have reported that the cortisone output in the urine was elevated.

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Metadata

Authors
GEMZELL, C. A.
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
1953-08
Volume
13
Issue
8
Pages
898-902
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2171907740
Cited by
169
References
0
FWCI
15.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: BLOOD LEVELS OF 17-HYDROXYCORTICOSTEROIDS IN NORMAL PREGNANCY. https://app.cochat.ai/papers/10.1210/jcem-13-8-898
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GEMZELL, C. A. (1953). BLOOD LEVELS OF 17-HYDROXYCORTICOSTEROIDS IN NORMAL PREGNANCY. The Journal of Clinical Endocrinology & Metabolism. https://doi.org/10.1210/jcem-13-8-898

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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.