Evidence map›Paper›PMID 20090389›Full record

ArticleObesity facts2009

The 'Tyranny of choices' in the ingestion-controlling network.

Michael Myslobodsky

Abstract read
In one paragraph

Article in Obesity facts, 2009. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Contents of this issue.Obesity facts · 2009
    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

1 author.

Michael MyslobodskyHoward University Graduate School, Washington, DC, and Clinical Brain Disorders Branch, NIMH/National Institutes of Health, Bethesda, MD, USA.

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

backgroundCurrently used antiobesity remedies offer only a modest weight reduction, and have untoward effects that can complicate treatment efforts. Motivated by the needs of the pharmacotherapy of obesity, the study explored the role of neuropeptide Y, leptin, and corticotrophin-releasing hormone.

methodThe study used Ingenuity Pathway Analysis which is a tool for automated discovery and visualization of molecular interactions.

resultsIn ingestion-controlling networks, neuropeptide Y, leptin, and corticotrophin-releasing hormone molecules are commonly combined into the units designated as 'maximal motifs'. The analysis of this triad allowed suggesting that maximal motifs are not more than a compendium of admission rules and transmission alternatives of their nodes catalogued in the dataset. Nonetheless, these options seem to endow them with the flexibility needed to respond dynamically as a functional unit to changing internal (metabolic) conditions or environmental challenges.

conclusionThus far, each peptide represents a separate target for pharmaceutical interventions (as judged by US patents scanned). The study concludes with predictions regarding designs of 'multitargeted' antiobesity agents since only by hitting a combination of targets can an appropriate therapeutic effect be achieved.

Indexed as

Drug DiscoveryModels, TheoreticalAnti-Obesity AgentsCorticotropin-Releasing HormoneDatabases, FactualHumansLeptinNeuropeptide YObesityPolypharmacyAnti-Obesity AgentsCorticotropin-Releasing HormoneLeptinNeuropeptide Y

Identifiers

PMID20090389
PMCPMC2878589

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.