Evidence map›Paper›PMID 25975815›Full record

ArticleClinical pharmacology and therapeutics2015

Identification and Mechanistic Investigation of Drug-Drug Interactions Associated With Myopathy: A Translational Approach.

X Han, S K Quinney, Z Wang, P Zhang, J Duke, Z Desta, J S Elmendorf, D A Flockhart, L Li

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Translational drug-interaction corpus.Database : the journal of biological databases and curation · 2022
    Article
  4. Article
  5. Article
  6. Finding Causal Mechanistic Drug-Drug Interactions from Observational Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  7. Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.IEEE journal of biomedical and health informatics · 2019
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Big Data: Challenges and opportunities for clinical pharmacology.British journal of clinical pharmacology · 2016
    Article
  14. 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 2 institutions in 1 country.

X HanDepartment of Pharmacology and Toxicology, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
S K QuinneyCenter for Computational Biology and Bioinformatics, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
Z WangCenter for Computational Biology and Bioinformatics, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
P ZhangCenter for Computational Biology and Bioinformatics, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
J DukeRegenstrief Institute, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
Z DestaDivision of Clinical Pharmacology in the Department of Medicine, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
J S ElmendorfDepartment of Cellular & Integrative Physiology, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
D A FlockhartDivision of Clinical Pharmacology in the Department of Medicine, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
L LiCenter for Computational Biology and Bioinformatics, Indiana University at Indianapolis, Indianapolis, Indiana, USA.
Indiana University – Purdue University Indianapolis · USRegenstrief Institute · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug-Drug Interactions Involving Antidiabetic AgentsR01DK102694 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2014 to 2017
$2.4M
Evidence-based Drug-Interaction Discovery: In-Vivo, In-Vitro and ClinicalR01LM011945 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI LI, LANG, ROCHA, LUIS M · 2014 to 2017
$1.8M
A Translational Bioinformatics Approach in the Drug Interaction ResearchR01GM104483 · NIGMS · OHIO STATE UNIVERSITY · PI LI, LANG · 2014 to 2017
$1.5M
Individualization of nifedipine dosing for preterm laborK23HD071134 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI QUINNEY, SARA K · 2012 to 2016
$629k
NCATS NIH HHS UL1 TR001108NIA NIH HHS R01 AG025152NICHD NIH HHS K23 HD071134NIDDK NIH HHS DK102694NIDDK NIH HHS R01 DK102694NIGMS NIH HHS GM10448301NIGMS NIH HHS R01 GM104483NLM NIH HHS LM011945NLM NIH HHS R01 LM011945
6 · The paper itself

Abstract

Myopathy is a group of muscle diseases that can be induced or exacerbated by drug-drug interactions (DDIs). We sought to identify clinically important myopathic DDIs and elucidate their underlying mechanisms. Five DDIs were found to increase the risk of myopathy based on analysis of observational data from the Indiana Network of Patient Care. Loratadine interacted with simvastatin (relative risk 95% confidence interval [CI] = [1.39, 2.06]), alprazolam (1.50, 2.31), ropinirole (2.06, 5.00), and omeprazole (1.15, 1.38). Promethazine interacted with tegaserod (1.94, 4.64). In vitro investigation showed that these DDIs were unlikely to result from inhibition of drug metabolism by CYP450 enzymes or from inhibition of hepatic uptake via the membrane transporter OATP1B1/1B3. However, we did observe in vitro synergistic myotoxicity of simvastatin and desloratadine, suggesting a role in loratadine-simvastatin interaction. This interaction was epidemiologically confirmed (odds ratio 95% CI = [2.02, 3.65]) using the data from the US Food and Drug Administration Adverse Event Reporting System.

Indexed as

Drug InteractionsAdverse Drug Reaction Reporting SystemsAnimalsBiological TransportBiotransformationCell LineCytochrome P-450 Enzyme InhibitorsDose-Response Relationship, DrugDrug-Related Side Effects and Adverse ReactionsDrug SynergismHumansMuscle, SkeletalMuscular DiseasesOdds RatioOrganic Anion TransportersRatsCytochrome P-450 Enzyme InhibitorsOrganic Anion Transporters

Identifiers

PMID25975815
PMCPMC4664558
OpenAlexW1910293941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.