Evidence map›Paper›PMID 42370847›Full record

ReviewPhysiology (Bethesda, Md.)2026

Evolution of Adaptive Non-Shivering Thermogenesis in Mammals.

Michaela Keuper, Martin Jastroch

Abstract readReview
In one paragraph

Review in Physiology (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michaela KeuperDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, SE-106 91, Sweden.ORCID 0000-0003-0319-3509
Martin JastrochDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, SE-106 91, Sweden.ORCID 0000-0003-0358-3865

Funding

Carl Tryggers Stiftelse för Vetenskaplig Forskning (Carl Trygger Foundation) CTS 25:3971EC | European Research Council (ERC) 101201284Vetenskapsrådet (VR) 2022-03136
6 · The paper itself

Abstract

Endothermy depends on the ability to generate heat beyond basal metabolic output. The transition from incidental metabolic heat production to regulated adaptive thermogenesis represents a critical, yet poorly understood milestone in vertebrate evolution. In vertebrates, adaptive thermogenesis includes shivering thermogenesis and non-shivering thermogenesis (NST), the latter involving molecular mechanisms that release energy in the form of heat independently of muscle contraction. This review synthesizes physiological, comparative, and evolutionary findings on adaptive NST, with a focus on adipose-based thermogenesis mediated by its unique mitochondrial uncoupling protein 1 (UCP1). We highlight a two-stage evolutionary model in which a pre-thermogenic adipose program governing UCP1 expression preceded the emergence of efficient UCP1-mediated thermogenesis in eutherian mammals. The source of NST and underlying mechanisms in other tissues and in non-eutherian endothermic vertebrates are less well understood. We discuss proposed UCP1-independent sources of cellular heat production in adipose tissue and muscle. Although these pathways can increase cellular energy expenditure, evidence supporting their role as dedicated and regulated thermogenic mechanisms remains limited to date. Collectively, these findings suggest that adaptive NST is not a singular conserved mechanism but a diverse and context dependent evolutionary strategy with important implications for understanding human physiology and disease.

Indexed as

adipose tissueenergy metabolismfishmarsupialmitochondriamuscleUCP1

Identifiers

PMID42370847
PMCPMC7619422

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.