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Lost in Translation ( LiT ): IUPHAR Review 6
Author(s) -
Dollery Colin T
Publication year - 2014
Publication title -
british journal of pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.432
H-Index - 211
eISSN - 1476-5381
pISSN - 0007-1188
DOI - 10.1111/bph.12580
Subject(s) - drug discovery , repurposing , serendipity , pharmaceutical industry , translational medicine , medicine , pharmacology , biology , bioinformatics , genetics , ecology , philosophy , epistemology
Translational medicine is a roller coaster with occasional brilliant successes and a large majority of failures. Lost in Translation 1 (‘ LiT 1’), beginning in the 1950s, was a golden era built upon earlier advances in experimental physiology, biochemistry and pharmacology, with a dash of serendipity, that led to the discovery of many new drugs for serious illnesses. LiT 2 saw the large‐scale industrialization of drug discovery using high‐throughput screens and assays based on affinity for the target molecule. The links between drug development and university sciences and medicine weakened, but there were still some brilliant successes. In LiT 3, the coverage of translational medicine expanded from molecular biology to drug budgets, with much greater emphasis on safety and official regulation. Compared with R & D expenditure, the number of breakthrough discoveries in LiT 3 was disappointing, but monoclonal antibodies for immunity and inflammation brought in a new golden era and kinase inhibitors such as imatinib were breakthroughs in cancer. The pharmaceutical industry is trying to revive the LiT 1 approach by using phenotypic assays and closer links with academia. LiT 4 faces a data explosion generated by the genome project, GWAS , ENCODE and the ‘omics’ that is in danger of leaving LiT 4 in a computerized cloud. Industrial laboratories are filled with masses of automated machinery while the scientists sit in a separate room viewing the results on their computers. Big Data will need Big Thinking in LiT 4 but with so many unmet medical needs and so many new opportunities being revealed there are high hopes that the roller coaster will ride high again.