Literature DB >> 17366322

Gene expression analysis offers unique advantages to histopathology in liver biopsy evaluations.

Alexandra N Heinloth1, Gary A Boorman, Julie F Foley, Norris D Flagler, Richard S Paules.   

Abstract

Liver diseases that induce nonuniform lesions often give rise to greatly varying histopathology results in needle biopsy samples from the same patient. This study examines whether gene expression analysis of such biopsies could provide a more representative picture of the overall condition of the liver. We utilized acetaminophen (APAP) as a model hepatotoxicant that gives a multifocal pattern of necrosis following toxic doses. Rats were treated with a single toxic or subtoxic dose of APAP and sacrificed 6, 24, or 48 hours after exposure. Left liver lobes were harvested, and both gene expression and histopathological analysis were performed on biopsy-sized samples. While histopathological evaluation of such small samples revealed significant sample to sample differences after toxic doses of APAP, gene expression analysis provided a very homogeneous picture and allowed clear distinction between subtoxic and toxic doses. The main biological function differentiating animals that received sub-toxic from those that had received toxic doses was an acute stress response at 6 hours and signs of energy depletion at later time points. Our results suggest that the use of genomic analysis of biopsy samples together with histopathological analysis could provide a more precise representation of the overall condition of a patient's liver than histopathological evaluation alone.

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Year:  2007        PMID: 17366322     DOI: 10.1080/01926230601178207

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  7 in total

Review 1.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

2.  Blood gene expression profiling of an early acetaminophen response.

Authors:  P R Bushel; R D Fannin; K Gerrish; P B Watkins; R S Paules
Journal:  Pharmacogenomics J       Date:  2016-03-01       Impact factor: 3.550

3.  Mechanistic identification of biofluid metabolite changes as markers of acetaminophen-induced liver toxicity in rats.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Kristopher D Rawls; Shanea K Estes; Tracy P O'Brien; Richard L Printz; Jason A Papin; Jaques Reifman; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Appl Pharmacol       Date:  2019-04-08       Impact factor: 4.219

4.  Genes related to apoptosis predict necrosis of the liver as a phenotype observed in rats exposed to a compendium of hepatotoxicants.

Authors:  Lingkang Huang; Alexandra N Heinloth; Zhao-Bang Zeng; Richard S Paules; Pierre R Bushel
Journal:  BMC Genomics       Date:  2008-06-16       Impact factor: 3.969

5.  Gene expression alterations in immune system pathways in the thymus after exposure to immunosuppressive chemicals.

Authors:  Rachel Frawley; Kimber White; Ronnetta Brown; Deborah Musgrove; Nigel Walker; Dori Germolec
Journal:  Environ Health Perspect       Date:  2010-11-01       Impact factor: 9.031

6.  Systems level analysis and identification of pathways and networks associated with liver fibrosis.

Authors:  Mohamed Diwan M AbdulHameed; Gregory J Tawa; Kamal Kumar; Danielle L Ippolito; John A Lewis; Jonathan D Stallings; Anders Wallqvist
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

7.  Gene Expression Signatures in AML-12 Hepatocyte Cells upon Dengue virus Infection and Acetaminophen Treatment.

Authors:  Jorge G G Ferreira; Sandra G Gava; Eneida S Oliveira; Izabella C A Batista; Gabriel da R Fernandes; Marina M Mourão; Carlos E Calzavara-Silva
Journal:  Viruses       Date:  2020-11-10       Impact factor: 5.048

  7 in total

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