ArticleMolecular metabolism2013
(11)C-meta-hydroxyephedrine PET/CT imaging allows in vivo study of adaptive thermogenesis and white-to-brown fat conversion.
Article in Molecular metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- β-adrenergic receptors feel the heat against obesity.Nature reviews. Endocrinology · 2023Article
- Brown Adipose Tissue-A Translational Perspective.Endocrine reviews · 2023Review
- Optimization of the Automated Synthesis of [11C]mHED-Administered and Apparent Molar Activities.Pharmaceuticals (Basel, Switzerland) · 2019Article
- Article
- PreclinicalFrontiers in pharmacology · 2016Review
- Visualizing browning in vivo.Molecular metabolism · 2013Article
- Article
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Authors and funding
12 authors at 5 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Several lines of evidence suggest that novel pharmacological approaches aimed at converting white adipose tissue (WAT) into brown adipose tissue (BAT) may represent an effective therapeutic strategy for obesity and related disorders. ((18))F-fluorodeoxyglucose ((18)F-FDG) is the only positron emission tomography (PET) tracer commonly used to study BAT function, and so far no functional tools have been described to investigate in vivo white-to-brown fat conversion. In this report, we show that the PET tracer (11)C-meta-hydroxyephedrine ((11)C-MHED, a norepinephrine analogue) is a useful tool to investigate the sympathetic nervous system (SNS) activity in BAT of lean and dietary obese mice. Moreover, we demonstrate that (11)C-MHED is a specific marker of the SNS-mediated thermogenesis in typical BAT depots, and that this tracer can detect in vivo WAT to BAT conversion.
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Registered trials
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.