Evidence map›Paper›PMID 31481665›Full record

ArticleScientific reports2019

Potentially repurposable drugs for schizophrenia identified from its interactome.

Kalyani B Karunakaran, Srilakshmi Chaparala, Madhavi K Ganapathiraju

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Network-based drug repurposing for schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  6. Review
  7. Article
  8. ACS omega · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

3 authors at 2 institutions in 2 countries.

Kalyani B KarunakaranSupercomputer Education and Research Centre, Indian Institute of Science, Indian Institute of Science, Bengaluru, India.
Srilakshmi ChaparalaDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA.
Madhavi K GanapathirajuDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA. madhavi@pitt.edu.
University of Pittsburgh · USIndian Institute of Science Bangalore · IN

Funding

Discovery of Mental Health and Inflammation (MHAIN) InteractomeR01MH094564 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GANAPATHIRAJU, MADHAVI K · 2011 to 2015
$1.9M
NIMH NIH HHS R01 MH094564
6 · The paper itself

Abstract

We previously presented the protein-protein interaction network of schizophrenia associated genes, and from it, the drug-protein interactome which showed the drugs that target any of the proteins in the interactome. Here, we studied these drugs further to identify whether any of them may potentially be repurposable for schizophrenia. In schizophrenia, gene expression has been described as a measurable aspect of the disease reflecting the action of risk genes. We studied each of the drugs from the interactome using the BaseSpace Correlation Engine, and shortlisted those that had a negative correlation with differential gene expression of schizophrenia. This analysis resulted in 12 drugs whose differential gene expression (drug versus normal) had an anti-correlation with differential expression for schizophrenia (disorder versus normal). Some of these drugs were already being tested for their clinical activity in schizophrenia and other neuropsychiatric disorders. Several proteins in the protein interactome of the targets of several of these drugs were associated with various neuropsychiatric disorders. The network of genes with opposite drug-induced versus schizophrenia-associated expression profiles were significantly enriched in pathways relevant to schizophrenia etiology and GWAS genes associated with traits or diseases that had a pathophysiological overlap with schizophrenia. Drugs that targeted the same genes as the shortlisted drugs, have also demonstrated clinical activity in schizophrenia and other related disorders. This integrated computational analysis will help translate insights from the schizophrenia drug-protein interactome to clinical research - an important step, especially in the field of psychiatric drug development which faces a high failure rate.

Indexed as

Drug RepositioningAcetazolamideAnticonvulsantsCarbonic AnhydrasesGene Expression RegulationGenome-Wide Association StudyHumansHydroxycholecalciferolsProtein Interaction MapsReceptors, CalcitriolSchizophreniaAcetazolamidealfacalcidolAnticonvulsantsCarbonic AnhydrasesHydroxycholecalciferolsReceptors, Calcitriol

Identifiers

PMID31481665
PMCPMC6722087
OpenAlexW2971596064

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.