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Cited by 171

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Hormonal control of regional fat distribution

Bjorntorp, P.·1997·Human Reproduction

Abstract

Hormones exert powerful influences on body fat distribution in humans. Studies under fully controlled conditions in vitro have indicated that cortisol and insulin facilitate lipid accumulation by expressing lipoprotein lipase (LPL). Growth hormone (GH) abolishes this and turns metabolism towards lipid mobilization. Testosterone and GH inhibit LPL and stimulate lipolysis markedly. Cortisol effects are mediated via a glucocorticoid receptor, and testosterone effects via an androgen receptor, the density of which appears to be higher in visceral than subcutaneous adipose tissue. The receptor-mediated effects are probably expressed via transcription of appropriate genes. The female sex steroids also regulate adipose tissue metabolism, but apparently not directly in the absence of specific cellular receptors. Oestrogens seem to exert net effects similar to those of testosterone. These results of cellular studies agree well with in-vivo studies of triglyceride uptake and turnover in different adipose tissue regions. Furthermore, clinical entities with characteristic disturbances in hormone levels show the expected redistribution patterns.

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Crossref · 10.1093/humrep/12.suppl_1.21

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Metadata

Authors
Bjorntorp, P.
Venue
Human Reproduction
Published
1997-10-01
Volume
12
Issue
suppl 1
Pages
21-25
ISSN
  • 0268-1161 (ISSN-L)
  • 1460-2350
OpenAlex
W2111064917
Cited by
171
References
3
FWCI
2.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hormonal control of regional fat distribution. https://app.cochat.ai/papers/10.1093/humrep/12.suppl_1.21
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Bjorntorp, P. (1997). Hormonal control of regional fat distribution. Human Reproduction. https://doi.org/10.1093/humrep/12.suppl_1.21

Data sources

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.