Evidence map›Paper›PMID 20458888›Full record

ReviewReviews in the neurosciences2010

Ingestion-controlling network: what's language got to do with it?

Michael Myslobodsky, Richard Coppola

Abstract readReview
In one paragraph

Review in Reviews in the neurosciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 1 institution in 1 country.

Michael MyslobodskyClinical Brain Disorders Branch, NIMH/National Institutes of Health, Bethesda, MD 20892-1379, USA. myslobom@mail.nih.gov
Richard Coppola
National Institutes of Health · US

Funding

Integrating EEG/MEG and fMRI: 99-M-0172ZIAMH002890 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI COPPOLA, RICHARD · 2009 to 2017
$1.9M
Intramural NIH HHS ZIA MH002890
6 · The paper itself

Abstract

The prevalence of obesity has increased dramatically worldwide, whereas the types of treatment and their efficacy have not substantially changed over the last two decades. Additionally, drugs used to control weight gain could occasionally create untoward effects in cardiovascular functions, as well as in behaviors, memory, sleep, and emotions because the molecular machinery responsible for ingestion control is interconnected with or shared by the above domains. How each group of drugs preserves the privacy of its message in the mutual network is not fully understood. In the present essay, the graph theory approach was used to explore some aspects of molecular signaling as though they were a 'language'. Its emphasis is on 'molecular polysemy', a term that refers to the ability of biomolecules to be used like words in natural languages more than one-way. This has physiological and clinical implications, in particular when planning drug designs with "specially engineered shotgun loads" that target a combination of biomolecules that assure a better therapeutic outcome without causing deficits in connected but patho-physiologically irrelevant bystanders.

Indexed as

LanguageModels, BiologicalAnimalsEatingHumansPeptidesSignal TransductionPeptides

Identifiers

PMID20458888
PMCPMC3263760
OpenAlexW1987182891

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.