Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival

巨噬细胞活化的自然变异作为预测炎症和癌症存活的疾病相关表型

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作者:Konrad Buscher, Erik Ehinger, Pritha Gupta, Akula Bala Pramod, Dennis Wolf, George Tweet, Calvin Pan, Charles D Mills, Aldons J Lusis, Klaus Ley

Abstract

Although mouse models exist for many immune-based diseases, the clinical translation remains challenging. Most basic and translational studies utilize only a single inbred mouse strain. However, basal and diseased immune states in humans show vast inter-individual variability. Here, focusing on macrophage responses to lipopolysaccharide (LPS), we use the hybrid mouse diversity panel (HMDP) of 83 inbred strains as a surrogate for human natural immune variation. Since conventional bioinformatics fail to analyse a population spectrum, we highlight how gene signatures for LPS responsiveness can be derived based on an Interleukin-12β and arginase expression ratio. Compared to published signatures, these gene markers are more robust to identify susceptibility or resilience to several macrophage-related disorders in humans, including survival prediction across many tumours. This study highlights natural activation diversity as a disease-relevant dimension in macrophage biology, and suggests the HMDP as a viable tool to increase translatability of mouse data to clinical settings.

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