2018
DOI: 10.1039/c8tx00016f
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Evaluation of the relevance of DILI predictive hypotheses in early drug development: review of in vitro methodologies vs. BDDCS classification

Abstract: Our published analyses suggest that comparison of proposed DILI prediction methodologies with BDDCS classification is a useful tool to evaluate the potential reliability of newly proposed algorithms, although BDDCS classification itself is not sufficiently predictive. Almost all of the predictive DILI metrics do no better than just avoiding BDDCS Class 2 drugs, although some early data with microliver platforms enabling long-enduring metabolic competency show promising results.

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Cited by 19 publications
(27 citation statements)
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“…Thus, a prosperous biological effect relies on the relationship between the hydrophilic and hydrophobic properties of the drug or biologically active substances. This is considered an essential aspect for antimycobacterial drugs owing to the presence of a lipid-rich mycobacterial wall [ 44 ]. Although INH showed remarked inhibition properties against all M.tb strains tested with a low Log P value (−0.7), PA exerted potent antimycobacterial activity against all M.tb strains tested with a high Log P value (2.8) ( Table 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…Thus, a prosperous biological effect relies on the relationship between the hydrophilic and hydrophobic properties of the drug or biologically active substances. This is considered an essential aspect for antimycobacterial drugs owing to the presence of a lipid-rich mycobacterial wall [ 44 ]. Although INH showed remarked inhibition properties against all M.tb strains tested with a low Log P value (−0.7), PA exerted potent antimycobacterial activity against all M.tb strains tested with a high Log P value (2.8) ( Table 2 ).…”
Section: Resultsmentioning
confidence: 99%
“…This system also considers the observation that highly permeable substances are often extensively metabolized and this property is associated with a higher risk of developing DILI [37]. BDDCS Class 2 compounds with a low solubility and high permeability are known to be associated with a high DILI risk [37,38]. For DILI prediction the BDDCS class may additionally be combined with the dose (e.g., dose ≥50 mg).…”
Section: Discussionmentioning
confidence: 99%
“…41,42 The complexity of this and other related mechanisms warrants routine assessment of SMs in advanced mitochondrial cell health assays. 37,38 Beyond kinases, receptors, and other target-relevant protein classes, it is impractical to assume that profiling panels will sufficiently cover the proteome. More importantly, many of these assays lack the appropriate cellular context to fully appreciate the consequences of target engagement since the systems utilized involve isolated proteins or truncated domains and mostly exclude physiologically relevant binding partners.…”
Section: Profiling: Assay Panelsmentioning
confidence: 99%
“…41,42 The complexity of this and other related mechanisms warrants routine assessment of SMs in advanced mitochondrial cell health assays. 37,38…”
Section: Elucidation Of Sm Targets and Off-targets And Mechanismsmentioning
confidence: 99%
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