Literature DB >> 29726581

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

Jeffery A Goldstein1, Lisa A Bastarache2, Joshua C Denny2, Jill M Pulley3, David M Aronoff4,5,6.   

Abstract

Obstetric diseases remain underserved and understudied. Drug repurposing-utilization of a drug whose use is accepted in one condition for a different condition-could represent a rapid and low-cost way to identify new therapies that are known to be safe. In diseases of pregnancy, the known safety profile is a strong additional incentive. We describe the techniques and steps used in the use of 'omics data for drug repurposing. We illustrate these techniques using case studies of published drug repurposing projects. We provide a set of available databases with low barriers to entry which investigators can use to perform their own projects. The promise of 'omics techniques is unbiased screening, either of all drug targets or of all patients using particular drugs to find which are likely to alter disease risk or progression. However, we caution that reproducibility across the underlying studies, and thus the drugs suggested for repurposing, can be poor. We suggest that improved nosology, for example correlating patient clinical conditions with placental pathology, could yield more robust associations. We conclude that 'omics-driven drug repurposing represents a potential fruitful path to discover new, safe treatments of obstetric diseases.
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990GWASzzm321990; diseases of pregnancy; drug repurposing; obstetrics; ‘omics

Mesh:

Year:  2018        PMID: 29726581      PMCID: PMC6105384          DOI: 10.1111/aji.12971

Source DB:  PubMed          Journal:  Am J Reprod Immunol        ISSN: 1046-7408            Impact factor:   3.886


  47 in total

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Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

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

Authors:  Jeffery A Goldstein; Lisa A Bastarache; Joshua C Denny; Dan M Roden; Jill M Pulley; David M Aronoff
Journal:  Pharmacol Res       Date:  2018-02-12       Impact factor: 7.658

3.  A genome-wide association study of early spontaneous preterm delivery.

Authors:  Heping Zhang; Don A Baldwin; Radek K Bukowski; Samuel Parry; Yaji Xu; Chi Song; William W Andrews; George R Saade; M Sean Esplin; Yoel Sadovsky; Uma M Reddy; John Ilekis; Michael Varner; Joseph R Biggio
Journal:  Genet Epidemiol       Date:  2015-01-19       Impact factor: 2.135

4.  Antidepressants and the risk of suicidal behaviors.

Authors:  Hershel Jick; James A Kaye; Susan S Jick
Journal:  JAMA       Date:  2004-07-21       Impact factor: 56.272

5.  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

6.  Pragmatic Trials.

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7.  The BioGRID interaction database: 2015 update.

Authors:  Andrew Chatr-Aryamontri; Bobby-Joe Breitkreutz; Rose Oughtred; Lorrie Boucher; Sven Heinicke; Daici Chen; Chris Stark; Ashton Breitkreutz; Nadine Kolas; Lara O'Donnell; Teresa Reguly; Julie Nixon; Lindsay Ramage; Andrew Winter; Adnane Sellam; Christie Chang; Jodi Hirschman; Chandra Theesfeld; Jennifer Rust; Michael S Livstone; Kara Dolinski; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 19.160

8.  Drug Repositioning for Alzheimer's Disease Based on Systematic 'omics' Data Mining.

Authors:  Ming Zhang; Gerold Schmitt-Ulms; Christine Sato; Zhengrui Xi; Yalun Zhang; Ye Zhou; Peter St George-Hyslop; Ekaterina Rogaeva
Journal:  PLoS One       Date:  2016-12-22       Impact factor: 3.240

9.  Genetic Associations with Gestational Duration and Spontaneous Preterm Birth.

Authors:  Ge Zhang; Bjarke Feenstra; Jonas Bacelis; Xueping Liu; Lisa M Muglia; Julius Juodakis; Daniel E Miller; Nadia Litterman; Pan-Pan Jiang; Laura Russell; David A Hinds; Youna Hu; Matthew T Weirauch; Xiaoting Chen; Arun R Chavan; Günter P Wagner; Mihaela Pavličev; Mauris C Nnamani; Jamie Maziarz; Minna K Karjalainen; Mika Rämet; Verena Sengpiel; Frank Geller; Heather A Boyd; Aarno Palotie; Allison Momany; Bruce Bedell; Kelli K Ryckman; Johanna M Huusko; Carmy R Forney; Leah C Kottyan; Mikko Hallman; Kari Teramo; Ellen A Nohr; George Davey Smith; Mads Melbye; Bo Jacobsson; Louis J Muglia
Journal:  N Engl J Med       Date:  2017-09-06       Impact factor: 91.245

10.  Evaluation of linguistic features useful in extraction of interactions from PubMed; application to annotating known, high-throughput and predicted interactions in I2D.

Authors:  Yun Niu; David Otasek; Igor Jurisica
Journal:  Bioinformatics       Date:  2009-10-22       Impact factor: 6.937

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  2 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

2.  A Multi-Objective Approach for Drug Repurposing in Preeclampsia.

Authors:  Eduardo Tejera; Yunierkis Pérez-Castillo; Andrea Chamorro; Alejandro Cabrera-Andrade; Maria Eugenia Sanchez
Journal:  Molecules       Date:  2021-02-03       Impact factor: 4.411

  2 in total

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