| Literature DB >> 19888337 |
Elizabeth R Sharlow1, David Close, Tongying Shun, Stephanie Leimgruber, Robyn Reed, Gabriela Mustata, Peter Wipf, Jacob Johnson, Michael O'Neil, Max Grögl, Alan J Magill, John S Lazo.
Abstract
Patients with clinical manifestations of leishmaniasis, including cutaneous leishmaniasis, have limited treatment options, and existing therapies frequently have significant untoward liabilities. Rapid expansion in the diversity of available cutaneous leishmanicidal chemotypes is the initial step in finding alternative efficacious treatments. To this end, we combined a low-stringency Leishmania major promastigote growth inhibition assay with a structural computational filtering algorithm. After a rigorous assay validation process, we interrogated approximately 200,000 unique compounds for L. major promastigote growth inhibition. Using iterative computational filtering of the compounds exhibiting > 50% inhibition, we identified 553 structural clusters and 640 compound singletons. Secondary confirmation assays yielded 93 compounds with EC(50)s < or = 1 microM, with none of the identified chemotypes being structurally similar to known leishmanicidals and most having favorable in silico predicted bioavailability characteristics. The leishmanicidal activity of a representative subset of 15 chemotypes was confirmed in two independent assay formats, and L. major parasite specificity was demonstrated by assaying against a panel of human cell lines. Thirteen chemotypes inhibited the growth of a L. major axenic amastigote-like population. Murine in vivo efficacy studies using one of the new chemotypes document inhibition of footpad lesion development. These results authenticate that low stringency, large-scale compound screening combined with computational structure filtering can rapidly expand the chemotypes targeting in vitro and in vivo Leishmania growth and viability.Entities:
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Year: 2009 PMID: 19888337 PMCID: PMC2765639 DOI: 10.1371/journal.pntd.0000540
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Reproducibility of the automated assay format demonstrated with the Library of Pharmacologically Active Compounds (LOPAC).
The robustness of the L. major promastigote drug susceptibility assay was demonstrated by screening the 1,280 compound LOPAC library in duplicate at 10 µM. The reproducibility between the two assays was R2 = 0.94. Average Z-factors equaled 0.71±0.03 with a signal to background (S∶B) ratio of 20.98±0.32. (blue circle - test compound; green circle - MAX control; red circle - MIN control; and pink circle - EC50 control).
Figure 2Frequency distribution of primary hit structural clusters.
Active compounds identified in primary HTS activities were subjected to computational filtering by Leadscope to decrease the number of compounds entering secondary screening activities. After analyses, 553 structural clusters were identified with cluster sizing ranging from 2–360 compounds. Six hundred and forty compounds could not be assigned to a structural cluster and were classified as singletons.
Effects of compounds of known pharmacological action on L. major promastigotes, axenic amastigote-like populations and mammalian cell lines.
| Compound (Pubchem CID) |
|
| A549 EC50 (µM) (AVE±SD) | HeLa EC50 (µM) (AVE±SD) | IMR90 EC50 (µM) (AVE±SD) | PC-3 EC50 (µM) (AVE±SD) | MDA EC50 (µM) (AVE±SD) |
| Pharmacological Action | |
| Acivicin (2007) | 0.006±0.001 | 0.04±0.01 | 4.4±0.4 | 3.9±3 | 6.7±0.4 | >50 | >50 | 1.1±0.06 | Antibiotic, antifungal, antineoplastic, antimetabolite, enzyme inhibitor | |
| Aphidicolin (457964) | 0.22±0.02 | 0.39±0.11 | >50 | >50 | >50 | >50 | >50 | 0.05±0.01 | Antiviral, enzyme inhibitor | |
| Clotrimazole (2812) | 0.22±0.11 | 0.29±0.12 | >50 | >50 | >50 | >50 | >50 | 0.75±0.2 | Local anti-infective, antifungal | |
| Disulfiram (3117) | 0.50±0.050 | 0.19±0.06 | >50 | >50 | >50 | >50 | >50 | 0.13±0.01 | Alcohol deterrent, enzyme inhibitor | |
| Pentamidine Isethionate (359323) | 0.29±0.05 | 0.73±0.39 | >50 | >50 | >50 | >50 | >50 | 1.26±0.04 | Antifungal, antiprotozoal, trypanocidal, phosphatase inhibitor | |
| Phenytoloxamine (298107) | 0.29±0.01 | 0.30±0.03 | >50 | >50 | >50 | >50 | >50 | >50 | Sedating antihistamine | |
| Sangivamycin (9549170) | 0.23±0.01 | 0.14±0.02 | 0.07±0.02 | >50 | >50 | >50 | >50 | 4.3±0.3 | Antibacterial, antibiotic, antineoplastic, kinase inhibitor | |
| Amphotericin B (5280965) (control) | 0.21±0.01 | 0.19±0.06 | >50 | >50 | 8.7±2.4 | >50 | >50 | 0.38±0.01 | Amebicide, antibacterial, antifungal, anti-protozoal | |
Figure 3Chemical structures of test compounds.
Structures of the 15 representative compounds tested empirically. Panel A, Compounds of known pharmacological action. Panel B, Compounds of unknown pharmacological action.
Effects of compounds of unknown pharmacological action on L. major promastigotes and axenic amastigote-like populations.
| Compound (Pubchem CID) |
|
|
|
|
| 1.26±0.08 | 2.22±0.11 | 3.6±0.13 |
|
| 0.69±0.04 | 0.43±0.30 | >50 |
|
| 0.19±0.02 | 0.20±0.05 | 0.21±0.09 |
|
| 0.86±0.16 | 0.35±0.06 | 1.2±0.4 |
|
| 2.04±0.08 | 1.94±0.15 | 3.2±0.8 |
|
| 0.21±0.02 | 0.34±0.48 | 11.7±0.5 |
|
| 3.63±0.96 | 1.77±0.12 | 4.3±0.8 |
|
| 0.01±0.002 | 0.04±0.01 | 2.3±0.2 |
Figure 4In vivo efficacy of disulfiram in a murine footpad model.
Balb/c mice were infected with 106 stationary phase L. major promastigotes (s.c.) and treated three days later with vehicle (open square), disulfiram (160 mg/kg)(black square) or amphotericin B (gray square). Footpad thickness was measured every 7 days over a 21 day period. Data are presented as mean±SEM (n = 5).