A Simple Algorithm for Semiquantitative Analysis of Scored Histology Data in the R Environment, on the Example of Murine Non-Alcoholic Steatohepatitis Pharmacotherapy

Abstract

Despite the high medical and socioeconomic burden of non-alcoholic fatty liver disease (NAFLD), treatments that could effectively reduce histological liver damage in this condition are lacking. As providing only qualitative data is a major limitation of most histological scoring systems, we aimed to develop a simple and straightforward algorithm for semiquantitative analysis of scored histology data using the extended Fisher’s exact test in the R environment. As an illustrative example, we used the effects of L-ornithine L-aspartate (LOLA) and empagliflozin (EMPA) in a 3-month chemical/dietary murine model of NAFLD. 100 C57Bl/6 mice were randomized into 4 groups: Intact (n = 10), Control (NAFLD; n = 30), LOLA (NAFLD + 1.5 g·kg−1 b.w./d LOLA orally; n = 30), and EMPA (NAFLD + 10 mg·kg−1 b.w./d EMPA orally; n = 30). LOLA reduced hepatitis activity (p p p p < 0.01). The statistical approach we suggest can be used as a simple complementary tool for exploratory analysis of scored histology data.

Keywords

• histology
• contingency analysis
• statistical analysis
• R environment
• empagliflozin
• L-ornithine L-aspartate