open access publication

Article, 2024

Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

Science Advances, ISSN 2375-2548, Volume 10, 22, 10.1126/sciadv.adk3229

Contributors

Montanana-Rosell R. 0000-0003-4268-4765 [1] Selvan R. 0000-0003-4302-0207 [1] Hernandez-Varas P. 0000-0001-8664-9203 [1] Kaminski J.M. [1] Sidhu S.K. [1] Ahlmark D.B. [1] Kiehn O. 0000-0002-5954-469X (Corresponding author) [1] Allodi I. 0000-0003-4361-163X (Corresponding author) [1] [2]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] University of St Andrews
  4. [NORA names: United Kingdom; Europe, Non-EU; OECD]

Abstract

Amyotrophic lateral sclerosis (ALS) is characterized by the progressive loss of somatic motor neurons. A major focus has been directed to motor neuron intrinsic properties as a cause for degeneration, while less attention has been given to the contribution of spinal interneurons. In the present work, we applied multiplexing detection of transcripts and machine learning–based image analysis to investigate the fate of multiple spinal interneuron populations during ALS progression in the SOD1 mouse model. The analysis showed that spinal inhibitory interneurons are affected early in the disease, before motor neuron death, and are characterized by a slow progressive degeneration, while excitatory interneurons are affected later with a steep progression. Moreover, we report differential vulnerability within inhibitory and excitatory subpopulations. Our study reveals a strong interneuron involvement in ALS development with interneuron specific degeneration. These observations point to differential involvement of diverse spinal neuronal circuits that eventually may be determining motor neuron degeneration.

Funders

  • Lundbeckfonden
  • louis-hansen Foundation
  • Sofus carl emil Friis og hustru Olga doris Friis Foundation
  • Medical Sciences at University of copenhagen
  • University of St Andrews
  • louis-hansen foundation

Data Provider: Elsevier