FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Prakash, A., Monteith, K.M., Vale, P.F. (2022). Mechanisms of damage prevention, signalling and repair impact disease tolerance.  Proc. Biol. Sci. 289(1981): 20220837.
FlyBase ID
FBrf0254288
Publication Type
Research paper
Abstract
The insect gut is frequently exposed to pathogenic threats and must not only clear these potential infections, but also tolerate relatively high microbe loads. In contrast to the mechanisms that eliminate pathogens, we currently know less about the mechanisms of disease tolerance. We investigated how well-described mechanisms that prevent, signal, control or repair damage during infection contribute to the phenotype of disease tolerance. We established enteric infections with the bacterial pathogen Pseudomonas entomophila in transgenic lines of Drosophila melanogaster fruit flies affecting dcy (a major component of the peritrophic matrix), upd3 (a cytokine-like molecule), irc (a negative regulator of reactive oxygen species) and egfr1 (epithelial growth factor receptor). Flies lacking dcy experienced the highest mortality, while loss of function of either irc or upd3 reduced tolerance in both sexes. The disruption of egfr1 resulted in a severe loss in tolerance in male flies but had no substantial effect on the ability of female flies to tolerate P. entomophila infection, despite carrying greater microbe loads than males. Together, our findings provide evidence for the role of damage limitation mechanisms in disease tolerance and highlight how sexual dimorphism in these mechanisms could generate sex differences in infection outcomes.
PubMed ID
PubMed Central ID
PMC9382215 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Proc. Biol. Sci.
    Title
    Proceedings. Biological sciences / The Royal Society.
    Publication Year
    1990-
    ISBN/ISSN
    0962-8452 1471-2954
    Data From Reference
    Genes (4)
    Human Disease Models (1)