Evidence mapPaperPMID 35873003Full record

ArticleFrontiers in endocrinology2022

Nicola Murgia, Yuan Ma, Syeda Sadia Najam, Yu Liu, Joanna Przybys, Chenkai Guo, Witold Konopka, Ilya A Vinnikov

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Nicola MurgiaLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yuan MaLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Syeda Sadia NajamLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yu LiuLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Joanna PrzybysNencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Chenkai GuoLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Witold KonopkaNencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Ilya A VinnikovLaboratory of Molecular Neurobiology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNInstytut Biologii Doświadczalnej im. Marcelego Nenckiego · PLPolish Academy of Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a growing medical and social problem worldwide. The control of energy homeostasis in the brain is achieved by various regions including the arcuate hypothalamic nucleus (ARH). The latter comprises a number of neuronal populations including the first order metabolic neurons, appetite-stimulating agouti-related peptide (AgRP) neurons and appetite-suppressing proopiomelanocortin (POMC) neurons. Using an

Indexed as

MicroRNAsPro-OpiomelanocortinAgouti-Related ProteinAmyloid Precursor Protein SecretasesAnimalsAspartic Acid EndopeptidasesMiceObesityAgouti-Related ProteinAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesMicroRNAsMirn15 microRNA, mousePro-OpiomelanocortinDicerenergy homeostasishypothalamusin situ CRISPR/Cas9 knock-outmicemicroRNAobesity

Identifiers

PMID35873003
PMCPMC9302447
OpenAlexW4284895258

What Socratic 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 Socratic graph.