Evolutionary Medicine is the application of evolutionary thinking to problems in medicine and medical research. This approach has exceptional merit in infectious diseases, in which evolution is critically important in understanding virulence, immune evasion, drug resistance, and other features critical in public health and clinical intervention. This proposal takes an evolutionary approach to the evaluation of lead compounds for the development of third-generation triazine inhibitors of the enzyme dihydrofolate reductase (DHFR). DHFR is one of the most effective drug targets used for the prevention and treatment of malaria. The goal of this project is twofold: (1) To apply evolutionary thinking to make informed choices of the best lead compounds to select for further development into clinically effective drugs with a long therapeutic lifetime;and (2) To perform the studies in such a way as to explore how adaptive landscapes of drug resistance change as a function of drug concentration and in response to differing perturbagens.
In Specific Aim 1 we will examine the wildtype allele and all known naturally occurring polymorphisms in DHFR of P. falciparum and P. vivax for their resistance to five potential lead compounds for third-generation antifolates These tests will use both the yeast and bacterial transgenic DHFR expression systems. The use of experimental models is essential, as P. vivax cannot be cultured in the laboratory, and the production of the isogenic strains needed for the tests in P. falciparum is not feasible in regard to time or cost.
In Specific Aim 2, we will augment the studies in Specific Aim 1 by creating the """"""""missing intermediate"""""""" alleles to allow a complete combinatorial analysis of the adaptive landscape with respect to each of the novel triazine antifolates as perturbagens.
In Specific Aim 3 we will carry out mutagenesis and selection experiments in the P. falciparum and P. vivax transgenic systems to determine whether the wildtype allele or any of the polymorphisms are easily converted via new mutations to resistance against any of the novel antifolates. This is a critical issue in evaluating the potential therapeutic lifetime of new drugs. The lead compounds to be tested are the five triazine antifolates WR99210, JPC-2067, JPC-2122, JPC-1058, and JPC-1054. The research will be carried out in collaboration with the Jacobus Pharmaceutical Company, a small company that is nevertheless a world leader in developing and producing antifolates against malaria and toxoplasmosis. Our collaborator, David P. Jacobus, MD has a distinguished track record of collaboration with academic researchers and open dissemination of research resources and information. The research is a unique combination of drug development and evolutionary biology with the potential to contribute to the development of new life-saving drugs while at the same time revealing new principles of protein evolution.
This project uses the approach of Evolutionary Medicine to help choose the most promising lead compounds for new antimalarial antifolates and to explore how adaptive landscapes of drug resistance change as a function of drug concentration and in response to differing drugs. The research will be carried out in collaboration with one of the world's leading companies in developing and supplying antifolates for malaria. Future development of the lead compounds will result in new clinically effective antimalarial drugs with a long therapeutic lifetime.
| Ogbunugafor, C Brandon; Hartl, Daniel L (2016) A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution. PLoS Comput Biol 12:e1005046 |
| Ogbunugafor, C Brandon; Hartl, Daniel (2016) A pivot mutation impedes reverse evolution across an adaptive landscape for drug resistance in Plasmodium vivax. Malar J 15:40 |
| Rice, Benjamin L; Golden, Christopher D; Anjaranirina, Evelin Jean Gasta et al. (2016) Genetic evidence that the Makira region in northeastern Madagascar is a hotspot of malaria transmission. Malar J 15:596 |
| Molina-Cruz, Alvaro; Zilversmit, Martine M; Neafsey, Daniel E et al. (2016) Mosquito Vectors and the Globalization of Plasmodium falciparum Malaria. Annu Rev Genet 50:447-465 |
| Rodrigues, João V; Bershtein, Shimon; Li, Anna et al. (2016) Biophysical principles predict fitness landscapes of drug resistance. Proc Natl Acad Sci U S A 113:E1470-8 |
| Ogbunugafor, C Brandon; Wylie, C Scott; Diakite, Ibrahim et al. (2016) Adaptive Landscape by Environment Interactions Dictate Evolutionary Dynamics in Models of Drug Resistance. PLoS Comput Biol 12:e1004710 |
| Liénard, Marjorie A; Araripe, Luciana O; Hartl, Daniel L (2016) Neighboring genes for DNA-binding proteins rescue male sterility in Drosophila hybrids. Proc Natl Acad Sci U S A 113:E4200-7 |
| Sackton, Timothy B; Hartl, Daniel L (2016) Genotypic Context and Epistasis in Individuals and Populations. Cell 166:279-287 |
| Daniels, Rachel F; Rice, Benjamin L; Daniels, Noah M et al. (2015) The utility of genomic data for Plasmodium vivax population surveillance. Pathog Glob Health 109:153-61 |
| Corbett-Detig, Russell B; Hartl, Daniel L; Sackton, Timothy B (2015) Natural selection constrains neutral diversity across a wide range of species. PLoS Biol 13:e1002112 |
Showing the most recent 10 out of 15 publications
