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Ex Vivo Hepatic Perfusion Through the Portal Vein in Mouse
Published on: March 9, 2022
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High-coverage quantitative liver metabolomics using perfused and non-perfused liver tissues
Xiaoling Su1, Deying Chen1, Liang Li2
1State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Analytica Chimica Acta
|March 14, 2021
Summary
Liver metabolomics is crucial for disease biomarker discovery. However, blood in tissue significantly alters results, so non-perfused liver is recommended for accurate high-coverage liver metabolomics.
Area of Science:
- Metabolomics
- Biochemistry
- Toxicology
Background:
- Liver metabolome analysis is vital for identifying disease biomarkers and understanding liver-related diseases.
- The presence of blood in liver tissue can significantly impact metabolomic analysis results.
- Developing a robust liver metabolomics workflow is essential for accurate disease research.
Purpose of the Study:
- To investigate the impact of blood contamination on liver tissue metabolome analysis.
- To develop an optimized liver metabolomics workflow using differential chemical isotope labeling (CIL) LC-MS.
- To evaluate the effects of different perfusion conditions on liver metabolome integrity.
Main Methods:
- Comparison of metabolomes from mouse serum, non-perfused liver, and perfused liver with varying blood amounts.
- Analysis of mouse livers perfused under different temperature conditions (room vs. ice-cold).
- Application of the developed method to a carbon tetrachloride-induced liver injury model, analyzing serum and liver metabolomes.
Main Results:
- Significant metabolome differences were observed between perfused and non-perfused liver tissues.
- Ice-cold temperature perfusion resulted in less metabolome alteration compared to room temperature perfusion, but differences persisted.
- Analysis of a liver injury model revealed unique significant metabolites in both serum and liver, highlighting the influence of blood.
Conclusions:
- Perfusion significantly alters the liver metabolome, confounding accurate analysis.
- Non-perfused liver tissue is recommended for high-coverage liver metabolomics to ensure data integrity.
- This study provides critical insights for optimizing sample preparation in liver metabolomics research.
