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The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

New Advances in Adaptive Thermogenesis: UCP1 and Beyond

Open access
Chouchani, Edward T., Kazak, Lawrence, Spiegelman, Bruce M.·2019·Cell Metabolism

Abstract

Brown and beige adipocytes can catabolize stored energy to generate heat, and this distinct capacity for thermogenesis could be leveraged as a therapy for metabolic diseases like obesity and type 2 diabetes. Thermogenic adipocytes drive heat production through close coordination of substrate supply with the mitochondrial oxidative machinery and effectors that control the rate of substrate oxidation. Together, this apparatus affords these adipocytes with tremendous capacity to drive thermogenesis. The best characterized thermogenic effector is uncoupling protein 1 (UCP1). Importantly, additional mechanisms for activating thermogenesis beyond UCP1 have been identified and characterized to varying extents. Acute regulation of these thermogenic pathways has been an active area of study, and numerous regulatory factors have been uncovered in recent years. Here we will review the evidence for regulators of heat production in thermogenic adipocytes in the context of the thermodynamic and kinetic principles that govern their therapeutic utility.

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Crossref · 10.1016/j.cmet.2018.11.002

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Metadata

Authors
Chouchani, E. T., Kazak, L., & Spiegelman, B. M.
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2019-01
Volume
29
Issue
1
Pages
27-37
ISSN
1550-4131 (ISSN-L)
OpenAlex
W2902121131
Cited by
793
References
12
FWCI
33.26
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: New Advances in Adaptive Thermogenesis: UCP1 and Beyond. https://app.cochat.ai/papers/10.1016/j.cmet.2018.11.002
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Chouchani, E. T., Kazak, L., & Spiegelman, B. M. (2019). New Advances in Adaptive Thermogenesis: UCP1 and Beyond. Cell Metabolism. https://doi.org/10.1016/j.cmet.2018.11.002

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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.