Literature DB >> 19446241

In vitro to in vivo concordance of a high throughput assay of bone marrow toxicity across a diverse set of drug candidates.

Andrew J Olaharski1, Hirdesh Uppal, Matthew Cooper, Stefan Platz, Tanja S Zabka, Kyle L Kolaja.   

Abstract

The development of predictive toxicology assays is necessary to optimize the drug candidate selection process. The colony forming assay (CFA) is used routinely to assess bone marrow toxicity and represents a viable tool for the discovery toxicologist, but the assay is not widely accepted as a standard screening tool due to technical challenges. A higher throughput and standardized version of the assay recently was developed such that the proliferative capacity of a cell lineage is measured indirectly via ATP levels, replacing the cumbersome identification and enumeration of specific colonies. In this study, a high-throughput assay of bone marrow toxicity prediction using the granulocyte, erythrocyte, monocyte, and macrophage (GEMM) progenitor cell lineage was evaluated using a training set of 56 structurally diverse compounds with known in vivo bone marrow effects. In general, compounds identified as toxic in vivo had lower IC(50) values, whereas those identified as non-toxic had higher IC(50) values. Concordance (i.e., predictive accuracy) to in vivo bone marrow toxicity results was 82% when an in vitro toxicity threshold of 20 microM was used. Additional experiments in other hematopoietic lineages were conducted to determine if predictivity of several false positive and negative compounds in the GEMM lineage could be improved; however an increase in sensitivity or specificity was not observed. The high-throughput GEMM assay has good concordance to in vivo bone marrow toxicity results and, with the high-throughput and standardized format, can be incorporated readily into the pharmaceutical toxicological screening paradigm, aiding in the early identification of compounds that eventually may fail due to bone marrow toxicity.

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Year:  2009        PMID: 19446241     DOI: 10.1016/j.toxlet.2009.03.012

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  5 in total

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Journal:  Cell Rep       Date:  2015-02-05       Impact factor: 9.423

2.  Emerging approaches in predictive toxicology.

Authors:  Luoping Zhang; Cliona M McHale; Nigel Greene; Ronald D Snyder; Ivan N Rich; Marilyn J Aardema; Shambhu Roy; Stefan Pfuhler; Sundaresan Venkatactahalam
Journal:  Environ Mol Mutagen       Date:  2014-07-09       Impact factor: 3.216

3.  Bone marrow-on-a-chip replicates hematopoietic niche physiology in vitro.

Authors:  Yu-suke Torisawa; Catherine S Spina; Tadanori Mammoto; Akiko Mammoto; James C Weaver; Tracy Tat; James J Collins; Donald E Ingber
Journal:  Nat Methods       Date:  2014-05-04       Impact factor: 28.547

4.  Detecting primitive hematopoietic stem cells in total nucleated and mononuclear cell fractions from umbilical cord blood segments and units.

Authors:  John Patterson; Cally H Moore; Emily Palser; Jason C Hearn; Daniela Dumitru; Holli A Harper; Ivan N Rich
Journal:  J Transl Med       Date:  2015-03-18       Impact factor: 5.531

5.  Assessing single-stranded oligonucleotide drug-induced effects in vitro reveals key risk factors for thrombocytopenia.

Authors:  Sabine Sewing; Adrian B Roth; Michael Winter; Andreas Dieckmann; Cristina Bertinetti-Lapatki; Yann Tessier; Claudia McGinnis; Sylwia Huber; Erich Koller; Corinne Ploix; John C Reed; Thomas Singer; Andreas Rothfuss
Journal:  PLoS One       Date:  2017-11-06       Impact factor: 3.240

  5 in total

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