Literature DB >> 29448118

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

Jeffery A Goldstein1, Lisa A Bastarache2, Joshua C Denny3, Dan M Roden4, Jill M Pulley5, David M Aronoff6.   

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Calcium channel blockers; Drug repurposing; Drug safety; Electronic health records; Gene set enrichment analysis; Gestational diabetes; Glucose tolerance; Hyperemesis; Hypertension; International classification of disease; Major depressive disorder; Placenta; Pregnancy complications; Serotonin

Mesh:

Substances:

Year:  2018        PMID: 29448118      PMCID: PMC5965292          DOI: 10.1016/j.phrs.2018.02.013

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  37 in total

Review 1.  Functional and genomic context in pathway analysis of GWAS data.

Authors:  Michael A Mooney; Joel T Nigg; Shannon K McWeeney; Beth Wilmot
Journal:  Trends Genet       Date:  2014-08-22       Impact factor: 11.639

2.  SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap.

Authors:  Andrew D Johnson; Robert E Handsaker; Sara L Pulit; Marcia M Nizzari; Christopher J O'Donnell; Paul I W de Bakker
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

Review 3.  Interventions to modify the progression to type 2 diabetes mellitus in women with gestational diabetes: a systematic review of literature.

Authors:  Suzanna Morton; Samantha Kirkwood; Shakila Thangaratinam
Journal:  Curr Opin Obstet Gynecol       Date:  2014-12       Impact factor: 1.927

4.  Functional role of serotonin in insulin secretion in a diet-induced insulin-resistant state.

Authors:  Kyuho Kim; Chang-Myung Oh; Mica Ohara-Imaizumi; Sangkyu Park; Jun Namkung; Vijay K Yadav; Natalia A Tamarina; Michael W Roe; Louis H Philipson; Gerard Karsenty; Shinya Nagamatsu; Michael S German; Hail Kim
Journal:  Endocrinology       Date:  2014-11-26       Impact factor: 4.736

5.  Glucose intolerance with atypical antipsychotics.

Authors:  Karin Hedenmalm; Staffan Hägg; Malin Ståhl; Orjan Mortimer; Olav Spigset
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

6.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

7.  A multicenter, randomized trial of treatment for mild gestational diabetes.

Authors:  Mark B Landon; Catherine Y Spong; Elizabeth Thom; Marshall W Carpenter; Susan M Ramin; Brian Casey; Ronald J Wapner; Michael W Varner; Dwight J Rouse; John M Thorp; Anthony Sciscione; Patrick Catalano; Margaret Harper; George Saade; Kristine Y Lain; Yoram Sorokin; Alan M Peaceman; Jorge E Tolosa; Garland B Anderson
Journal:  N Engl J Med       Date:  2009-10-01       Impact factor: 91.245

8.  Biobanks and electronic medical records: enabling cost-effective research.

Authors:  Erica Bowton; Julie R Field; Sunny Wang; Jonathan S Schildcrout; Sara L Van Driest; Jessica T Delaney; James Cowan; Peter Weeke; Jonathan D Mosley; Quinn S Wells; Jason H Karnes; Christian Shaffer; Josh F Peterson; Joshua C Denny; Dan M Roden; Jill M Pulley
Journal:  Sci Transl Med       Date:  2014-04-30       Impact factor: 17.956

9.  Preconditioning with associated blocking of Ca2+ inflow alleviates hypoxia-induced damage to pancreatic β-cells.

Authors:  Zuheng Ma; Noah Moruzzi; Sergiu-Bogdan Catrina; Ingrid Hals; José Oberholzer; Valdemar Grill; Anneli Björklund
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

Review 10.  Gestational diabetes mellitus in Africa: a systematic review.

Authors:  Shelley Macaulay; David B Dunger; Shane A Norris
Journal:  PLoS One       Date:  2014-06-03       Impact factor: 3.240

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  6 in total

1.  Machine learning on drug-specific data to predict small molecule teratogenicity.

Authors:  Anup P Challa; Andrew L Beam; Min Shen; Tyler Peryea; Robert R Lavieri; Ethan S Lippmann; David M Aronoff
Journal:  Reprod Toxicol       Date:  2020-05-16       Impact factor: 3.143

Review 2.  Computational drug repurposing based on electronic health records: a scoping review.

Authors:  Nansu Zong; Andrew Wen; Sungrim Moon; Sunyang Fu; Liwei Wang; Yiqing Zhao; Yue Yu; Ming Huang; Yanshan Wang; Gang Zheng; Michelle M Mielke; James R Cerhan; Hongfang Liu
Journal:  NPJ Digit Med       Date:  2022-06-14

3.  PregOMICS-Leveraging systems biology and bioinformatics for drug repurposing in maternal-child health.

Authors:  Jeffery A Goldstein; Lisa A Bastarache; Joshua C Denny; Jill M Pulley; David M Aronoff
Journal:  Am J Reprod Immunol       Date:  2018-05-04       Impact factor: 3.886

4.  Human and Machine Intelligence Together Drive Drug Repurposing in Rare Diseases.

Authors:  Anup P Challa; Nicole M Zaleski; Rebecca N Jerome; Robert R Lavieri; Jana K Shirey-Rice; April Barnado; Christopher J Lindsell; David M Aronoff; Leslie J Crofford; Raymond C Harris; T Alp Ikizler; Ingrid A Mayer; Kenneth J Holroyd; Jill M Pulley
Journal:  Front Genet       Date:  2021-07-28       Impact factor: 4.599

Review 5.  Beta-Cell Adaptation to Pregnancy - Role of Calcium Dynamics.

Authors:  Marle Pretorius; Carol Huang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-25       Impact factor: 5.555

6.  A Study on Methodologies of Drug Repositioning Using Biomedical Big Data: A Focus on Diabetes Mellitus.

Authors:  Suehyun Lee; Seongwoo Jeon; Hun-Sung Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2022-04-13
  6 in total

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