Abstract

Increased astrocytic Ca2+ signaling has been shown in Alzheimer's disease mouse models, but to date no reports have characterized behaviorally induced astrocytic Ca2+ signaling in such mice. Here, we employ an event-based algorithm to assess astrocytic Ca2+ signals in the neocortex of awake-behaving tg-ArcSwe mice and non-transgenic wildtype littermates while monitoring pupil responses and behavior. We demonstrate an attenuated astrocytic Ca2+ response to locomotion and an uncoupling of pupil responses and astrocytic Ca2+ signaling in 15-months old plaque-bearing mice. Using the genetically encoded fluorescent norepinephrine sensor GRABNE we demonstrate a reduced norepinephrine signaling during spontaneous running and startle responses in the transgenic mice, providing a possible mechanistic underpinning of the observed reduced astrocytic Ca2+ responses. Our data points to a dysfunction in the norepinephrine-astrocyte Ca2+ activity-axis, which may account for some of the cognitive deficits observed in Alzheimer's disease.

Data availability

The numerical data for the statistical analyses in Figures 3-5 are available as Source Data File 1. The complete dataset is available at http://dx.doi.org/10.11582/2021.00100.

The following data sets were generated

Article and author information

Author details

  1. Knut Sindre Åbjørsbråten

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  2. Gry HE Skaaraas

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  3. Céline Cunen

    Department of Mathematics, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  4. Daniel M Bjørnstad

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  5. Kristin M Binder

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  6. Laura Bojarskaite

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  7. Vidar Jensen

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  8. Lars NG Nilsson

    Department of Pharmacology, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  9. Shreyas B Rao

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  10. Wannan Tang

    Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
    Competing interests
    The authors declare that no competing interests exist.
  11. Gudmund Horn Hermansen

    Department of Mathematics, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  12. Erlend A Nagelhus

    Department of Pharmacology, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  13. Ole Petter Ottersen

    Office of the President, Karolinska Institute, Stockholm, Sweden
    Competing interests
    The authors declare that no competing interests exist.
  14. Reidun Torp

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    Competing interests
    The authors declare that no competing interests exist.
  15. Rune Enger

    Department of Molecular Medicine, University of Oslo, Oslo, Norway
    For correspondence
    rune.enger@medisin.uio.no
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9418-7117

Funding

Norges Forskningsråd (Grant 249988)

  • Rune Enger

Norges Forskningsråd (Grant 302326)

  • Rune Enger

Letten Foundation (Research support)

  • Rune Enger

Olav Thon Stiftelsen (Olav Thon Award)

  • Erlend A Nagelhus

Helse Sør-Øst RHF (Grant 2016070)

  • Rune Enger

Norges Forskningsråd (Medical Student Research Program)

  • Kristin M Binder

Helse Sør-Øst RHF (2020039)

  • Rune Enger

Norges Forskningsråd (Grant 271555/F20)

  • Kristin M Binder

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

Ethics

Animal experimentation: The study was performed in strict accordance with the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health and approved by the Norwegian Food Safety Authority (project number: FOTS #11983).

Copyright

© 2022, Åbjørsbråten 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

  • 2,765
    views
  • 652
    downloads
  • 27
    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. Knut Sindre Åbjørsbråten
  2. Gry HE Skaaraas
  3. Céline Cunen
  4. Daniel M Bjørnstad
  5. Kristin M Binder
  6. Laura Bojarskaite
  7. Vidar Jensen
  8. Lars NG Nilsson
  9. Shreyas B Rao
  10. Wannan Tang
  11. Gudmund Horn Hermansen
  12. Erlend A Nagelhus
  13. Ole Petter Ottersen
  14. Reidun Torp
  15. Rune Enger
(2022)
Impaired astrocytic Ca2+ signaling in awake-behaving Alzheimer's disease transgenic mice
eLife 11:e75055.
https://doi.org/10.7554/eLife.75055

Share this article

https://doi.org/10.7554/eLife.75055

Further reading

    1. Genetics and Genomics
    2. Neuroscience
    Tanya Wolff, Mark Eddison ... Gerald M Rubin
    Research Article

    The central complex (CX) plays a key role in many higher-order functions of the insect brain including navigation and activity regulation. Genetic tools for manipulating individual cell types, and knowledge of what neurotransmitters and neuromodulators they express, will be required to gain mechanistic understanding of how these functions are implemented. We generated and characterized split-GAL4 driver lines that express in individual or small subsets of about half of CX cell types. We surveyed neuropeptide and neuropeptide receptor expression in the central brain using fluorescent in situ hybridization. About half of the neuropeptides we examined were expressed in only a few cells, while the rest were expressed in dozens to hundreds of cells. Neuropeptide receptors were expressed more broadly and at lower levels. Using our GAL4 drivers to mark individual cell types, we found that 51 of the 85 CX cell types we examined expressed at least one neuropeptide and 21 expressed multiple neuropeptides. Surprisingly, all co-expressed a small molecule neurotransmitter. Finally, we used our driver lines to identify CX cell types whose activation affects sleep, and identified other central brain cell types that link the circadian clock to the CX. The well-characterized genetic tools and information on neuropeptide and neurotransmitter expression we provide should enhance studies of the CX.

    1. Neuroscience
    Poortata Lalwani, Thad Polk, Douglas D Garrett
    Research Article

    Moment-to-moment neural variability has been shown to scale positively with the complexity of stimulus input. However, the mechanisms underlying the ability to align variability to input complexity are unknown. Using a combination of behavioral methods, computational modeling, fMRI, MR spectroscopy, and pharmacological intervention, we investigated the role of aging and GABA in neural variability during visual processing. We replicated previous findings that participants expressed higher variability when viewing more complex visual stimuli. Additionally, we found that such variability modulation was associated with higher baseline visual GABA levels and was reduced in older adults. When pharmacologically increasing GABA activity, we found that participants with lower baseline GABA levels showed a drug-related increase in variability modulation while participants with higher baseline GABA showed no change or even a reduction, consistent with an inverted-U account. Finally, higher baseline GABA and variability modulation were jointly associated with better visual-discrimination performance. These results suggest that GABA plays an important role in how humans utilize neural variability to adapt to the complexity of the visual world.