Evidence map›Paper›PMID 29448118›Full record

ArticlePharmacological research2018

Calcium channel blockers as drug repurposing candidates for gestational diabetes: Mining large scale genomic and electronic health records data to repurpose medications.

Jeffery A Goldstein, Lisa A Bastarache, Joshua C Denny, Dan M Roden, Jill M Pulley, David M Aronoff

Abstract read
In one paragraph

Article in Pharmacological research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. The use of real-world data in drug repurposing.Translational and clinical pharmacology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. PregOMICS-Leveraging systems biology and bioinformatics for drug repurposing in maternal-child health.American journal of reproductive immunology (New York, N.Y. : 1989) · 2018
    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

6 authors at 2 institutions in 1 country.

Jeffery A GoldsteinDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, United States.
Lisa A BastaracheDepartment of Biomedical Informatics, Vanderbilt University Medical Center, United States.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, United States; Department of Medicine, Vanderbilt University Medical Center, United States.
Dan M RodenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, United States; Department of Medicine, Vanderbilt University Medical Center, United States; Department of Pharmacology, Vanderbilt University School of Medicine, United States.
Jill M PulleyVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, United States.
David M AronoffDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, United States; Department of Medicine, Vanderbilt University Medical Center, United States. Electronic address: d.aronoff@vanderbilt.edu.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PHILLIPS, ELIZABETH · 2015 to 2019
$13.0M
From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NIGMS NIH HHS P50 GM115305NLM NIH HHS R01 LM010685
6 · The paper itself

Abstract

New therapeutic approaches are needed for gestational diabetes mellitus (GDM), but must show safety and efficacy in a historically understudied population. We studied associations between electronic medical record (EMR) phenotypes and genetic variants to uncover drugs currently considered safe in pregnancy that could treat or prevent GDM. We identified 129 systemically active drugs considered safe in pregnancy targeting the proteins produced from 196 genes. We tested for associations between GDM and/or type 2 diabetes (DM2) and 306 SNPs in 130 genes represented on the Illumina Infinium Human Exome Bead Chip (DM2 was included due to shared pathophysiological features with GDM). In parallel, we tested the association between drugs and glucose tolerance during pregnancy as measured by the glucose recorded during a routine 50-g glucose tolerance test (GTT). We found an association between GDM/DM2 and the genes targeted by 11 drug classes. In the EMR analysis, 6 drug classes were associated with changes in GTT. Two classes were identified in both analyses. L-type calcium channel blocking antihypertensives (CCBs), were associated with a 3.18 mg/dL (95% CI -6.18 to -0.18) decrease in glucose during GTT, and serotonin receptor type 3 (5HT-3) antagonist antinausea medications were associated with a 3.54 mg/dL (95% CI 1.86-5.23) increase in glucose during GTT. CCBs were identified as a class of drugs considered safe in pregnancy could have efficacy in treating or preventing GDM. 5HT-3 antagonists may be associated with worse glucose tolerance.

Indexed as

Drug RepositioningAdolescentAdultCalcium Channel BlockersData MiningDiabetes, GestationalElectronic Health RecordsFemaleGenomicsHumansMiddle AgedPolymorphism, Single NucleotidePregnancyYoung AdultCalcium Channel BlockersAnxietyCalcium channel blockersDrug repurposingDrug safetyElectronic health recordsGene set enrichment analysisGestational diabetesGlucose toleranceHyperemesisHypertensionInternational classification of diseaseMajor depressive disorderPlacentaPregnancy complicationsSerotonin

Identifiers

PMID29448118
PMCPMC5965292
OpenAlexW2794249288

What OpenQuestion holds

Textmetadata
LicenceTDM
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.