Evidence map›Paper›PMID 33502798›Full record

ArticleAnnals of the New York Academy of Sciences2021

Discovery of melanin-concentrating hormone receptor 1 in brown adipose tissue.

Cécile Philippe, Eva-Maria Klebermass, Theresa Balber, Oana C Kulterer, Markus Zeilinger, Gerda Egger, Monika Dumanic, Carsten T Herz, Florian W Kiefer, Christian Scheuba and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2021. 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
0.4field-weighted citation impact, top 43% of its field
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, 3 citations in OpenAlex.

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

19 authors at 6 institutions in 2 countries.

Cécile PhilippeDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-7203-7174
Eva-Maria KlebermassDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0246-2658
Theresa BalberDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Oana C KultererDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Markus ZeilingerFaculty of Engineering, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria.
Gerda EggerLudwig Boltzmann Institute Applied Diagnostics, Vienna, Austria.
Monika DumanicDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Carsten T HerzDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Florian W KieferDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Christian ScheubaDivision of General Surgery, Department of Surgery, Medical University of Vienna, Vienna, Austria.
Thomas SchererDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Clemens FürnsinnDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Chrysoula VrakaDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Katharina PallitschInstitute of Organic Chemistry, University of Vienna, Vienna, Austria.
Helmut SpreitzerDepartment of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Wolfgang WadsakDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Helmut ViernsteinDepartment of Pharmaceutical Technology and Biopharmaceutics, University of Vienna, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Markus MitterhauserDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3173-5272
Medical University of Vienna · ATUniversity of Vienna · ATLudwig Boltzmann Institute Applied Diagnostics · ATCenter For Biomarker Research In Medicine · ATFachhochschule Wiener Neustadt · ATVienna General Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although extensive research on brown adipose tissue (BAT) has stimulated optimism in the battle against obesity and diabetes, BAT physiology and organ crosstalk are not fully understood. Besides BAT, melanin-concentrating hormone (MCH) and its receptor (MCHR1) play an important role in energy homeostasis. Because of the link between hypothalamic MCH neurons and sympathetic BAT activation via β-adrenoceptors, we investigated the expression and physiological role of the MCHR1 in BAT. MCHR1 was detected in rodent and human BAT with RT-qPCR and western blot analyses. In vivo imaging in rats used the glucose analog [

Indexed as

Adipose Tissue, BrownAnimalsFluorodeoxyglucose F18HumansMaleMiceMice, Inbred BALB CMice, Inbred C57BLPositron-Emission TomographyRatsRats, Sprague-DawleyReceptors, Pituitary HormoneFluorodeoxyglucose F18melanin-concentrating hormone receptorReceptors, Pituitary Hormonebrown adipose tissueimagingMCHR1obesityPET

Identifiers

PMID33502798
PMCPMC8248337
OpenAlexW3123081669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.