Evidence map›Paper›PMID 37076679›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Use of CIDEA Reporter Mouse Model for Screening Thermogenic Fat-Activating Drugs.

Yeonho Son, Cheoljun Choi, Yun-Hee Lee

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. 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
1.7field-weighted citation impact, top 19% 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, 1 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

3 authors at 2 institutions in 2 countries.

Yeonho SonCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Cheoljun ChoiCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.
Yun-Hee LeeCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea. yunhee.lee@snu.ac.kr.
Seoul National University · KRNational University College · PR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive fat accumulation is a risk factor for metabolic diseases. Activating non-shivering thermogenesis in adipose tissue increases energy expenditure and potentially reverses obesity-related metabolic dysfunctions. While brown/beige adipocytes specialize in non-shivering thermogenesis and catabolic lipid metabolism, thermogenic stimuli and pharmacological intervention can induce the recruitment and metabolic activation of these cell types in adipose tissue. Thus, these adipocytes are attractive therapeutic targets to combat obesity, and there is an increasing need for efficient screening strategies for thermogenic drugs. Cell death-inducing DNA fragmentation factor-like effector A (CIDEA) is a well-known marker of the thermogenic capacity of brown and beige adipocytes. We recently developed a CIDEA reporter mouse model that expresses multicistronic mRNAs encoding CIDEA, luciferase 2, and tdTomato proteins under endogenous Cidea promoter control. Here, we introduce the CIDEA reporter model system as a tool for in vitro and in vivo screening of drug candidate molecules with thermogenic effects and provide a detailed protocol to monitor CIDEA reporter expression.

Indexed as

Adipocytes, BrownAdipose TissueAnimalsApoptosis Regulatory ProteinsMiceObesityProteinsThermogenesisApoptosis Regulatory ProteinsCidea protein, mouseProteinsBioluminescence imagingBrown adipose tissueCIDEAObesityThermogenic drug screening

Identifiers

PMID37076679
OpenAlexW4366403192

What OpenQuestion holds

Textmetadata
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.