Multiplex transcriptional analysis of paraffin-embedded liver needle biopsy from patients with liver fibrosis.

BACKGROUND: The possibility of extracting RNA and measuring RNA expression from paraffin sections can allow extensive investigations on stored paraffin samples obtained from diseased livers and could help with studies of the natural history of liver fibrosis and inflammation, and in particular, correlate basic mechanisms to clinical outcomes. RESULTS: To address this issue, a pilot study of multiplex gene expression using branched-chain DNA technology was conducted to directly measure mRNA expression in formalin-fixed paraffin-embedded needle biopsy samples of human liver. Twenty-five genes were selected for evaluation based on evidence obtained from human fibrotic liver, a rat BDL model and in vitro cultures of immortalized human hepatic stellate cells. The expression levels of these 25 genes were then correlated with liver fibrosis and inflammation activity scores. Statistical analysis revealed that three genes (COL3A1, KRT18, and TUBB) could separate fibrotic from non-fibrotic samples and that the expression of ten genes (ANXA2, TIMP1, CTGF, COL4A1, KRT18, COL1A1, COL3A1, ACTA2, TGFB1, LOXL2) were positively correlated with the level of liver inflammation activity. CONCLUSION: This is the first report describing this multiplex technique for liver fibrosis and has provided the proof of concept of the suitability of RNA extracted from paraffin sections for investigating the modulation of a panel of proinflammatory and profibrogenic genes. This pilot study suggests that this technique will allow extensive investigations on paraffin samples from diseased livers and possibly from any other tissue. Using identical or other genes, this multiplex expression technique could be applied to samples obtained from extensive patient cohorts with stored paraffin samples in order to correlate gene expression with valuable clinically relevant information. This method could be used to provide a better understanding of the mechanisms of liver fibrosis and inflammation, its progression, and help development of new therapeutic approaches for this indication.

Recommendations to qualify biomarker candidates of drug-induced liver injury.

Certain compounds that induce liver injury clinically are not readily identified from earlier preclinical studies. Novel biomarkers are being sought to be applied across the pharmaceutical pipeline to fill this knowledge gap and to add increased specificity for detecting drug-induced liver injury in combination with aminotransferases (alanine and aspartate aminotransferase)--the current reference-standard biomarkers used in the clinic. The gaps in the qualification process for novel biomarkers of regulatory decision-making are assessed and compared with aminotransferase activities to guide the determination of safe compound margins for drug delivery to humans where monitoring for potential liver injury is a cause for concern. Histopathologic observations from preclinical studies are considered the principal reference standard to benchmark and assess subtle aminotransferase elevations. This approach correlates quite well for many developmental compounds, yet cases of discordance create dilemmas regarding which standard(s) indicates true injury. Concordance amongst a broader set of biomarker injury signals in a qualification paradigm will increase confidence, leading to accepted and integrated translational biomarker signals during safety assessment processes across the pharmaceutical industry, with academia, in government and in contractor laboratories.

Enhancing the utility of alanine aminotransferase as a reference standard biomarker for drug-induced liver injury.

Drug-induced liver injury (DILI) is the most frequent cause of discontinuation of new chemical entities during development. DILI can either be intrinsic/predictable or an idiosyncratic type. These two forms of DILI are contrasted in their manifestation and diagnosis. Even with regulatory guidance (FDA, 2009), there is still a gap in our ability to identify predictable DILI, both specifically and sensitively. Alanine aminotransferase (ALT) is the principal reference standard biomarker to diagnose DILI, yet its current application in preclinical to clinical translation for decision-making purposes has imperfections: (1) analytical ALT assay uniformity across industry would be aided by common analytical processes; (2) assessment of ALT toxicological performance in a large preclinical analysis would help to establish a true threshold of elevation for predictable DILI and improve translational use across various stages of pharmaceutical development and finally, (3) clinical evaluation of ALT elevations prospectively and retrospectively is recommended to define and manage variations in clinical study subjects including rising body mass index (BMI) range and ALT upper limit of normal (ULN) in the broader population over time. The emergence of new hepatotoxicity biomarkers necessitates a parallel and equivalent assessment to the aminotransferases in a regulatory qualification model.