Enhanced insulin signalling ameliorates C9orf72 hexanucleotide repeat expansion toxicity in Drosophila

Abstract

G4C2 repeat expansions within the C9orf72 gene are the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). The repeats undergo repeat-associated non-ATG translation to generate toxic dipeptide repeat proteins. Here, we show that insulin/Igf signalling is reduced in fly models of C9orf72 repeat expansion using RNA-sequencing of adult brain. We further demonstrate that activation of insulin/Igf signalling can mitigate multiple neurodegenerative phenotypes in flies expressing either expanded G4C2 repeats or the toxic dipeptide repeat protein poly-GR. Levels of poly-GR are reduced when components of the insulin/Igf signalling pathway are genetically activated in the diseased flies, suggesting a mechanism of rescue. Modulating insulin signalling in mammalian cells also lowers poly-GR levels. Remarkably, systemic injection of insulin improves the survival of flies expressing G4C2 repeats. Overall, our data suggest that modulation of insulin/Igf signalling could be an effective therapeutic approach against C9orf72 ALS/FTD.

Data availability

Sequencing data have been deposited in GEO under accession codes GSE151826. All data generated or analysed during this study are included in the manuscript.

Article and author information

Author details

  1. Magda Luciana Atilano

    Genetics, Evolution & Environment, Institute of Healthy Ageing, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3819-2023
  2. Sebastian Grönke

    Max Planck Institute for Biology of Ageing, Cologne, Germany
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1539-5346
  3. Teresa Niccoli

    Genetics, Evolution & Environment, Institute of Healthy Ageing, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Liam Kempthorne

    UK Dementia Research Institute, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  5. Oliver Hahn

    Max Planck Institute for Biology of Ageing, Cologne, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Javier Morón-Oset

    Max Planck Institute for Biology of Ageing, Cologne, Germany
    Competing interests
    The authors declare that no competing interests exist.
  7. Oliver Hendrich

    Max Planck Institute for Biology of Ageing, Cologne, Germany
    Competing interests
    The authors declare that no competing interests exist.
  8. Miranda Dyson

    Genetics, Evolution & Environment, Institute of Healthy Ageing, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  9. Mirjam Lisette Adams

    UK Dementia Research Institute, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  10. Alexander Hull

    Genetics, Evolution & Environment, Institute of Healthy Ageing, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  11. Marie-Therese Salcher-Konrad

    UK Dementia Research Institute, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  12. Amy Monaghan

    Alzheimer's Research UK UCL Drug Discovery Institute, University College of London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  13. Magda Bictash

    Alzheimer's Research UK UCL Drug Discovery Institute, University College of London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  14. Idoia Glaria

    UK Dementia Research Institute, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4556-489X
  15. Adrian M Isaacs

    UK Dementia Research Institute, University College London, London, United Kingdom
    For correspondence
    a.isaacs@ucl.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
  16. Linda Partridge

    Max Planck Institute for Biology of Ageing, Cologne, Germany
    For correspondence
    Linda.Partridge@age.mpg.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9615-0094

Funding

Alzheimer's Research UK (ARUK-PG2016A-6)

  • Adrian M Isaacs

Wellcome Trust

  • Linda Partridge

Max-Planck-Gesellschaft (Open-access funding)

  • Linda Partridge

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2021, Atilano et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,722
    views
  • 348
    downloads
  • 23
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Magda Luciana Atilano
  2. Sebastian Grönke
  3. Teresa Niccoli
  4. Liam Kempthorne
  5. Oliver Hahn
  6. Javier Morón-Oset
  7. Oliver Hendrich
  8. Miranda Dyson
  9. Mirjam Lisette Adams
  10. Alexander Hull
  11. Marie-Therese Salcher-Konrad
  12. Amy Monaghan
  13. Magda Bictash
  14. Idoia Glaria
  15. Adrian M Isaacs
  16. Linda Partridge
(2021)
Enhanced insulin signalling ameliorates C9orf72 hexanucleotide repeat expansion toxicity in Drosophila
eLife 10:e58565.
https://doi.org/10.7554/eLife.58565

Share this article

https://doi.org/10.7554/eLife.58565

Further reading

    1. Neuroscience
    John P Grogan, Matthias Raemaekers ... Sanjay G Manohar
    Research Article

    Motivation depends on dopamine, but might be modulated by acetylcholine which influences dopamine release in the striatum, and amplifies motivation in animal studies. A corresponding effect in humans would be important clinically, since anticholinergic drugs are frequently used in Parkinson’s disease, a condition that can also disrupt motivation. Reward and dopamine make us more ready to respond, as indexed by reaction times (RT), and move faster, sometimes termed vigour. These effects may be controlled by preparatory processes that can be tracked using electroencephalography (EEG). We measured vigour in a placebo-controlled, double-blinded study of trihexyphenidyl (THP), a muscarinic antagonist, with an incentivised eye movement task and EEG. Participants responded faster and with greater vigour when incentives were high, but THP blunted these motivational effects, suggesting that muscarinic receptors facilitate invigoration by reward. Preparatory EEG build-up (contingent negative variation [CNV]) was strengthened by high incentives and by muscarinic blockade, although THP reduced the incentive effect. The amplitude of preparatory activity predicted both vigour and RT, although over distinct scalp regions; frontal activity predicted vigour, whereas a larger, earlier, central component predicted RT. The incentivisation of RT was partly mediated by the CNV, though vigour was not. Moreover, the CNV mediated the drug’s effect on dampening incentives, suggesting that muscarinic receptors underlie the motivational influence on this preparatory activity. Taken together, these findings show that a muscarinic blocker impairs motivated action in healthy people, and that medial frontal preparatory neural activity mediates this for RT.

    1. Neuroscience
    Samyogita Hardikar, Bronte Mckeown ... Jonathan Smallwood
    Research Article

    Complex macro-scale patterns of brain activity that emerge during periods of wakeful rest provide insight into the organisation of neural function, how these differentiate individuals based on their traits, and the neural basis of different types of self-generated thoughts. Although brain activity during wakeful rest is valuable for understanding important features of human cognition, its unconstrained nature makes it difficult to disentangle neural features related to personality traits from those related to the thoughts occurring at rest. Our study builds on recent perspectives from work on ongoing conscious thought that highlight the interactions between three brain networks – ventral and dorsal attention networks, as well as the default mode network. We combined measures of personality with state-of-the-art indices of ongoing thoughts at rest and brain imaging analysis and explored whether this ‘tri-partite’ view can provide a framework within which to understand the contribution of states and traits to observed patterns of neural activity at rest. To capture macro-scale relationships between different brain systems, we calculated cortical gradients to describe brain organisation in a low-dimensional space. Our analysis established that for more introverted individuals, regions of the ventral attention network were functionally more aligned to regions of the somatomotor system and the default mode network. At the same time, a pattern of detailed self-generated thought was associated with a decoupling of regions of dorsal attention from regions in the default mode network. Our study, therefore, establishes that interactions between attention systems and the default mode network are important influences on ongoing thought at rest and highlights the value of integrating contemporary perspectives on conscious experience when understanding patterns of brain activity at rest.