Evidence map›Paper›PMID 25739475›Full record

ArticleScientific reports2015

Repurpose terbutaline sulfate for amyotrophic lateral sclerosis using electronic medical records.

Hyojung Paik, Ah-Young Chung, Hae-Chul Park, Rae Woong Park, Kyoungho Suk, Jihyun Kim, Hyosil Kim, KiYoung Lee, Atul J Butte

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

38 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Drug repurposing in amyotrophic lateral sclerosis (ALS).Expert opinion on drug discovery · 2025
    Review
  3. Review
  4. Article
  5. Drug Repurposing Using Molecular Network Analysis Identifies Jak as Targetable Driver in Necrobiosis Lipoidica.JID innovations : skin science from molecules to population health · 2024
    Article
  6. Review
  7. Review
  8. Review
  9. Tackling neurodegenerationFrontiers in molecular neuroscience · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. The use of real-world data in drug repurposing.Translational and clinical pharmacology · 2021
    Review
  17. Network medicine framework for identifying drug-repurposing opportunities for COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Review
  20. 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

9 authors at 4 institutions in 2 countries.

Hyojung Paik1] Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggido, Korea [2] Division of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, and Lucile Packard Children's Hospital, Palo Alto, CA, USA.
Ah-Young ChungGraduate School of Medicine, Korea University, Ansan, Gyeonggido, Korea.
Hae-Chul ParkGraduate School of Medicine, Korea University, Ansan, Gyeonggido, Korea.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggido, Korea.
Kyoungho SukDepartment of Pharmacology, Brain Science &Engineering Institute, Kyungpook National University, Daegu, Korea.
Jihyun KimDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggido, Korea.
Hyosil KimDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggido, Korea.
KiYoung LeeDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Gyeonggido, Korea.
Atul J ButteDivision of Systems Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, and Lucile Packard Children's Hospital, Palo Alto, CA, USA.
Ajou University · KRKorea University · KRKyungpook National University · KRStanford University · US

Funding

Repositioning drugs for the treatment of small cell lung cancerR01GM079719 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2006 to 2015
$4.4M
NIGMS NIH HHS R01 GM079719
6 · The paper itself

Abstract

Prediction of new disease indications for approved drugs by computational methods has been based largely on the genomics signatures of drugs and diseases. We propose a method for drug repositioning that uses the clinical signatures extracted from over 13 years of electronic medical records from a tertiary hospital, including >9.4 M laboratory tests from >530,000 patients, in addition to diverse genomics signatures. Cross-validation using over 17,000 known drug-disease associations shows this approach outperforms various predictive models based on genomics signatures and a well-known "guilt-by-association" method. Interestingly, the prediction suggests that terbutaline sulfate, which is widely used for asthma, is a promising candidate for amyotrophic lateral sclerosis for which there are few therapeutic options. In vivo tests using zebrafish models found that terbutaline sulfate prevents defects in axons and neuromuscular junction degeneration in a dose-dependent manner. A therapeutic potential of terbutaline sulfate was also observed when axonal and neuromuscular junction degeneration have already occurred in zebrafish model. Cotreatment with a β2-adrenergic receptor antagonist, butoxamine, suggests that the effect of terbutaline is mediated by activation of β2-adrenergic receptors.

Indexed as

Drug RepositioningElectronic Health RecordsAmyotrophic Lateral SclerosisDatabases, FactualData MiningDatasets as TopicGenomicsHumansMedical InformaticsReproducibility of ResultsTerbutalineTerbutaline

Identifiers

PMID25739475
PMCPMC4894399
OpenAlexW2036906022

What Socratic 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 Socratic graph.