Evidence map›Paper›PMID 32492388›Full record

ArticleCell metabolism2020

A Sympathetic Treatment for Obesity.

Jung Dae Kim, Sabrina Diano

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 360-Degree Perspectives on Obesity.Medicina (Kaunas, Lithuania) · 2023
    Review
  3. A Tale of Three Systems: Toward a Neuroimmunoendocrine Model of Obesity.Annual review of cell and developmental biology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jung Dae KimProgram in Cell Signaling and Neurobiology of Metabolism, Yale University School of Medicine, New Haven, CT 06520, USA; Departments of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT 06520, USA.
Sabrina DianoProgram in Cell Signaling and Neurobiology of Metabolism, Yale University School of Medicine, New Haven, CT 06520, USA; Departments of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06520, USA. Electronic address: sabrina.diano@yale.edu.

Funding

Mitochondrial Dynamics in VMH Neurons Control Glucose MetabolismR01DK107293 · NIDDK · YALE UNIVERSITY · PI DIANO, SABRINA · 2015 to 2022
$3.6M
Role of Peroxisome Proliferation in Leptin ResistanceR01DK097566 · NIDDK · YALE UNIVERSITY · PI DIANO, SABRINA · 2013 to 2020
$3.3M
Intracellular mechanisms of microglia activation in diet-induced obesityR01DK120321 · NIDDK · YALE UNIVERSITY · PI DIANO, SABRINA · 2018 to 2021
$3.2M
Central Prolyl Carboxypeptidase (PRCP) in the Regulation of MetabolismR01DK105571 · NIDDK · YALE UNIVERSITY · PI DIANO, SABRINA · 2016 to 2019
$1.5M
NIDDK NIH HHS R01 DK097566NIDDK NIH HHS R01 DK105571NIDDK NIH HHS R01 DK107293NIDDK NIH HHS R01 DK120321
6 · The paper itself

Abstract

Amphetamine (AMPH), mainly used in the treatment of attention deficit hyperactivity disorder and narcolepsy, has weight loss properties, although with detrimental cardiovascular effects. In this issue, Mahú et al. (2020) describe the effect of a new derivative of AMPH, "PEGyAMPH," a brain-spared anti-obesity drug that alters sympathetic activity without cardiovascular side effects.

Indexed as

Attention Deficit Disorder with HyperactivityCentral Nervous System StimulantsAmphetamineBrainHumansObesityAmphetamineCentral Nervous System Stimulants

Identifiers

PMID32492388
PMCPMC8142296

What OpenQuestion holds

Textmetadata
LicenceTDM
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.