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

  • Konrad Buscher
    ,
  • Erik Ehinger
    ,
  • Pritha Gupta
    ,
  • Akula Bala Pramod
    ,
  • Dennis Wolf
    ,
  • George Tweet
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

16041

Journal (Volume, Issue Number)

Nature communications (Volume 8)

Publication milestones

  • Published - 07/24/2017

Publication status

Published - 07/24/2017

ISSN

2041-1723

Publication IDs

  • Scopus: 85029702319
  • PubMed: 28737175

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Funding Details

This project was funded by NIH R01HL115232 to K.L., NIH HL28481 and HL30568 to A.J.L. and Deutsche Forschungsgemeinschaft (DFG) BU3247/1-1 to K.B.