Scientific Reports (Mar 2021)

Acitretin reverses early functional network degradation in a mouse model of familial Alzheimer’s disease

  • Eduardo Rosales Jubal,
  • Miriam Schwalm,
  • Malena dos Santos Guilherme,
  • Florian Schuck,
  • Sven Reinhardt,
  • Amanda Tose,
  • Zeke Barger,
  • Mona K. Roesler,
  • Nicolas Ruffini,
  • Anna Wierczeiko,
  • Michael J. Schmeisser,
  • Ulrich Schmitt,
  • Kristina Endres,
  • Albrecht Stroh

DOI
https://doi.org/10.1038/s41598-021-85912-0
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 16

Abstract

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Abstract Aberrant activity of local functional networks underlies memory and cognition deficits in Alzheimer’s disease (AD). Hyperactivity was observed in microcircuits of mice AD-models showing plaques, and also recently in early stage AD mutants prior to amyloid deposition. However, early functional effects of AD on cortical microcircuits remain unresolved. Using two-photon calcium imaging, we found altered temporal distributions (burstiness) in the spontaneous activity of layer II/III visual cortex neurons, in a mouse model of familial Alzheimer’s disease (5xFAD), before plaque formation. Graph theory (GT) measures revealed a distinct network topology of 5xFAD microcircuits, as compared to healthy controls, suggesting degradation of parameters related to network robustness. After treatment with acitretin, we observed a re-balancing of those network measures in 5xFAD mice; particularly in the mean degree distribution, related to network development and resilience, and post-treatment values resembled those of age-matched controls. Further, behavioral deficits, and the increase of excitatory synapse numbers in layer II/III were reversed after treatment. GT is widely applied for whole-brain network analysis in human neuroimaging, we here demonstrate the translational value of GT as a multi-level tool, to probe networks at different levels in order to assess treatments, explore mechanisms, and contribute to early diagnosis.