Enhancing the Promise of Drug Repositioning through Genetics

نویسندگان

  • Jayne-Louise E. Pritchard
  • Tracy A. O’Mara
  • Dylan M. Glubb
چکیده

The development of new drugs has become challenging as the necessary investments in time and money have increased while drug approval rates have decreased. A potential solution to this problem is drug repositioning which aims to use existing drugs to treat conditions for which they were not originally intended. One approach that may enhance the likelihood of success is to reposition drugs against a target that has a genetic basis. The multitude of genome-wide association studies (GWASs) conducted in recent years represents a large potential pool of novel targets for drug repositioning. Although trait-associated variants identified from GWAS still need to be causally linked to a target gene, recently developed functional genomic techniques, databases, and workflows are helping to remove this bottleneck. The pre-clinical validation of repositioning against these targets also needs to be carefully performed to ensure that findings are not confounded by off-target effects or limitations of the techniques used. Nevertheless, the approaches described in this review have the potential to provide a faster, cheaper and more certain route to clinical approval.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

P115: A Novel High Tech Approach to Monitor the Pharmacotherapy of Alzheimer; a Narrative Review

Alzheimer's disease (AD) is multisystem and multifactor disease with a long no-symptom stage. We propose that a more effective approach to use fMRI as a still emerging, repeatable, non- invasive neuroimaging tools that can be very useful for evaluating, diagnosis, treatment and drugs- development. We studied 30 articles which published between 2008-2017 that included the effects of different bi...

متن کامل

O-3: Drug Repositioning by Merging Gene Expression Data Analysis and Cheminformatics Target Prediction Approaches

The transcriptional responses of drug treatments combined with a protein target prediction algorithm was utilised to associate compounds to biological genomic space. This enabled us to predict efficacy of compounds in cMap and LINCS against 181 databases of diseases extracted from GEO. 18/30 of top drugs predicted for leukemia (e.g. Leflunomide and Etoposide) and breast cancer (e.g. Tamoxifen a...

متن کامل

A Second WNT for Old Drugs: Drug Repositioning against WNT-Dependent Cancers

Aberrant WNT signaling underlies cancerous transformation and growth in many tissues, such as the colon, breast, liver, and others. Downregulation of the WNT pathway is a desired mode of development of targeted therapies against these cancers. Despite the urgent need, no WNT signaling-directed drugs currently exist, and only very few candidates have reached early phase clinical trials. Among di...

متن کامل

Leveraging Population‐Based Clinical Quantitative Phenotyping for Drug Repositioning

Computational drug repositioning methods can scalably nominate approved drugs for new diseases, with reduced risk of unforeseen side effects. The majority of methods eschew individual-level phenotypes despite the promise of biomarker-driven repositioning. In this study, we propose a framework for discovering serendipitous interactions between drugs and routine clinical phenotypes in cross-secti...

متن کامل

An overview of glucagon-like peptide-1 receptor agonists for the treatment of metabolic syndrome: A drug repositioning

Metabolic syndrome (MetS) is a clustering of several cardiovascular risk factors that include: obesity, dyslipidemia, hypertension and high blood glucose, and often requires multidrug pharmacological interventions. The management of MetS therefore requires high healthcare cost, and can result in poor drug treatment compliance. Hence drug therapies that have pleiotropic beneficial effects may be...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2017