Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival.
Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival.
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DOI:
10.1038/ncomms16041
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发表时间:
2017-07-24
影响因子:
16.6
通讯作者:
Ley K
中科院分区:
文献类型:
--
作者:
Buscher K;Ehinger E;Gupta P;Pramod AB;Wolf D;Tweet G;Pan C;Mills CD;Lusis AJ;Ley K
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. The inter-individual variation of the immune system broadly impacts pathophysiology. Here, the authors use the hybrid mouse diversity panel as a surrogate for human natural immune variation and derive a macrophages gene signature robustly correlating with susceptibility to macrophage-related disorders in humans.
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影响因子:
4.1
作者:
Ceccarelli F;Perricone C;Borgiani P;Ciccacci C;Rufini S;Cipriano E;Alessandri C;Spinelli FR;Sili Scavalli A;Novelli G;Valesini G;Conti F
通讯作者:
Conti F
影响因子:
7.3
作者:
Ley K;Pramod AB;Croft M;Ravichandran KS;Ting JP
通讯作者:
Ting JP
影响因子:
30.5
作者:
通讯作者:
--
影响因子:
64.5
作者:
Brodin P;Jojic V;Gao T;Bhattacharya S;Angel CJ;Furman D;Shen-Orr S;Dekker CL;Swan GE;Butte AJ;Maecker HT;Davis MM
通讯作者:
Davis MM
影响因子:
4.5
作者:
Bennett BJ;Davis RC;Civelek M;Orozco L;Wu J;Qi H;Pan C;Packard RR;Eskin E;Yan M;Kirchgessner T;Wang Z;Li X;Gregory JC;Hazen SL;Gargalovic PS;Lusis AJ
通讯作者:
Lusis AJ