Rajan, J.R.; McDonald, S.; Bjourson, A.J.; Zhang, S.-D.; Gibson, D.S. An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis. J. Pers. Med.2023, 13, 1633.
Rajan, J.R.; McDonald, S.; Bjourson, A.J.; Zhang, S.-D.; Gibson, D.S. An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis. J. Pers. Med. 2023, 13, 1633.
Rajan, J.R.; McDonald, S.; Bjourson, A.J.; Zhang, S.-D.; Gibson, D.S. An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis. J. Pers. Med.2023, 13, 1633.
Rajan, J.R.; McDonald, S.; Bjourson, A.J.; Zhang, S.-D.; Gibson, D.S. An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis. J. Pers. Med. 2023, 13, 1633.
Abstract
Rheumatoid arthritis (RA) is a chronic autoimmune disorder that has significant impact on quality of life and work capacity. Treatment of RA aims to control inflammation and alleviate pain, however achieving remission with minimal toxicity is frequently not possible with the current suite of drugs. This review aims to summarise current treatment practices and highlight the urgent need for alternative pharmacogenomic approaches to novel drug discovery. These approaches can elucidate new relationships between drugs, genes, and diseases to identify additional effective and safe therapeutic options. This review discusses how computational approaches such as connectivity mapping offers the ability to repurpose FDA approved drugs beyond their original treatment indication. This review also explores the concept of drug sensitisation, to predict co-prescribed drugs with synergistic effects that produce enhanced anti-disease efficacy by involving multiple disease pathways. Challenges of this computational approach are discussed including the availability of suitable high-quality datasets for comprehensive analysis and other data curation issues. The potential benefits include accelerated identification of novel drug combinations, and ability to trial and implement established treatments in a new index disease. This review underlines the huge opportunity to incorporate disease-related data and drug-related data to develop methods and algorithms which have strong potential to determine novel and effective treatment regimens.
Keywords
rheumatoid arthritis; drug repurposing; connectivity mapping; transcriptomics
Subject
Medicine and Pharmacology, Medicine and Pharmacology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
