Evidence map›Paper›PMID 28974751›Full record

ArticleScientific reports2017

Drug repurposing in idiopathic pulmonary fibrosis filtered by a bioinformatics-derived composite score.

E Karatzas, M M Bourdakou, G Kolios, G M Spyrou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Repurposing drug molecules for new pulmonary therapeutic interventions.Drug delivery and translational research · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Targeting metabolic dysregulation for fibrosis therapy.Nature reviews. Drug discovery · 2020
    Review
  13. Weighted Gene Coexpression Network Analysis Identifies Key Genes and Pathways Associated with Idiopathic Pulmonary Fibrosis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  14. Article
  15. 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

4 authors at 4 institutions in 2 countries.

E KaratzasDepartment of Informatics and Telecommunications, University of Athens, 15784, Ilissia Athens, Greece.
M M BourdakouCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens, Soranou Ephessiou 4, 115 27, Athens, Greece.
G KoliosLaboratory of Pharmacology, Department of Medicine, Democritus University of Thrace, Alexandroupolis, Greece.ORCID 0000-0002-2066-4782
G M SpyrouBioinformatics ERA Chair, The Cyprus Institute of Neurology and Genetics, 6 International Airport Avenue, Nicosia, 2370, Cyprus. georges@cing.ac.cy.
Academy of Athens · GRCyprus Institute of Neurology and Genetics · CYDemocritus University of Thrace · GRNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic Pulmonary Fibrosis (IPF) is a rare disease of the respiratory system in which the lungs stiffen and get scarred, resulting in breathing weakness and eventually leading to death. Drug repurposing is a process that provides evidence for existing drugs that may also be effective in different diseases. In this study, we present a computational pipeline having as input a number of gene expression datasets from early and advanced stages of IPF and as output lists of repurposed drugs ranked with a novel composite score. We have devised and used a scoring formula in order to rank the repurposed drugs, consolidating the standard repurposing score with structural, functional and side effects' scores for each drug per stage of IPF. The whole pipeline involves the selection of proper gene expression datasets, data preprocessing and statistical analysis, selection of the most important genes related to the disease, analysis of biological pathways, investigation of related molecular mechanisms, identification of fibrosis-related microRNAs, drug repurposing, structural and literature-based analysis of the repurposed drugs.

Indexed as

Computational BiologyDrug RepositioningHumansIdiopathic Pulmonary FibrosisMicroRNAsThapsigarginTomography, X-Ray ComputedMicroRNAsThapsigargin

Identifiers

PMID28974751
PMCPMC5626774
OpenAlexW2757363103

What OpenQuestion 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 OpenQuestion graph.