A simple algorithm for semiquantitative analysis of scored histology data in the R environment, on the example of murine non-alcoholic steatohepatitis pharmacotherapy

Prikhodko, V.A.; Karev, V.E.; Sysoev, Y.I.; Ivkin, D.Y.; Okovityi, S.V.

Авторы: Prikhodko V.A., Karev V.E., Sysoev Yu I., Ivkin D.Yu, Okovityi S.V.
Журнал: Livers
Том: 2
Номер: 4
Год издания: 2022
Издательство: MDPI
Местоположение издательства: Basel, Switzerland
Первая страница: 412
Последняя страница: 424
DOI: 10.3390/livers2040031
Аннотация: 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 arelacking. 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 < 0.05), cholestasis, necrosis, and fibrosis severity (p < 0.01), and EMPA prevented necrosis (p < 0.05) and reduced fibrosis severity (p < 0.01). The statistical approach we suggest can be used as a simple complementary tool for exploratory analysis of scored histology data.
Добавил в систему: Оковитый Сергей Владимирович

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A simple algorithm for semiquantitative analysis of scored histology data in the R environment, on the example of murine non-alcoholic steatohepatitis pharmacotherapyстатья

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