Human amyotrophic lateral sclerosis/motor neuron disease: The disease-associated microglial pathway is upregulated and APOE ε2 is protective.
Ashford, B.; Simpson, J.; Dawson, C.; Boche, D.; Cooper-Knock, J.; Heath, P.; Fillingham, D.; Appleby-Mallinder, C.; Wei, W.; Dunning, M.; Highley, J. R.
Show abstract
A key role for inflammation in amyotrophic lateral sclerosis/motor neuron disease (ALS/MND) has been identified. It is vital to assess which central nervous system structures are most affected and which inflammatory processes are responsible in humans. The inflammatory transcriptome was characterized in the cervical spinal cord and motor cortex in post mortem frozen and formalin-fixed paraffin embedded specimens from human sporadic ALS/MND and control cases using the nCounter(R) Neuroinflammation Panel. Archival data were re-analysed and compared with the nCounter data. Immunohistochemistry was used to examine the inflammatory response in the spinal cord, motor cortex, and regions across the brain and validate changes found at during transcriptomic analyses. In the spinal cord, marked inflammation was observed while less inflammation was detected in the motor cortex. Examination of differentially expressed genes in the spinal cord highlighted TREM2, TYROBP, APOE, and CD163 as well as phagocytic pathways. In sporadic ALS/MND spinal cord, significant microglial reactivity, and involvement of TREM2, ApoE (encoded by APOE) and TYROBP was confirmed, suggesting the involvement of the disease-associated microglial (DAM) phenotype. The corticospinal tracts showed greater inflammation than the ventral horns. The precentral gyrus of ALS/MND again showed less immune reactivity to disease when compared to controls. Finally, in the largest cohort assessed to date, we demonstrate an association between the APOE haplotype and ALS/MND risk, age of onset and survival. We confirm associations between APOE {varepsilon}4 and a more aggressive disease; and between {varepsilon}2 and a less severe disease phenotype. We conclude that while there is widespread inflammation in the CNS in sporadic ALS/MND, this is more marked in the spinal cord, especially the corticospinal tract. The specific markers stress the DAM phenotype as having a key role together with a possible influx of somatic macrophages. In addition, APOE function and genotype may be relevant in ALS/MND.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- TMEM106B modifies TDP-43 pathology in human ALS brain and cell-based models of TDP-43 proteinopathy 96%
- Nuclear depletion of RNA binding protein ELAVL3 (HuC) in sporadic and familial amyotrophic lateral sclerosis 95%
- Selective Vulnerability of Tripartite Synapses in Amyotrophic Lateral Sclerosis. 94%
Similar papers in this journal
Similar papers in this journal
- Neuronal TDP-43 aggregation drives changes in microglial morphology prior to immunophenotype in amyotrophic lateral sclerosis 97%
- Blood-spinal cord barrier leakage is independent of motor neuron pathology in ALS 96%
- DNA methylation as a contributor to dysregulation of STX6 and other frontotemporal lobar degeneration genetic risk-associated loci 94%
Similar papers in this journal
- Network Analysis of the Cerebrospinal Fluid Proteome Reveals Shared and Unique Differences Between Sporadic and Familial Forms of Amyotrophic Lateral Sclerosis 95%
- Microglial ferroptotic stress causes non-cell autonomous neuronal death 94%
- Transcriptome deregulation of peripheral monocytes in GBA -related Parkinson’s disease 93%
Similar papers in this journal
- A panel of TDP-43-regulated splicing events verify loss of TDP-43 function in amyotrophic lateral sclerosis brain tissue 96%
- Atxn2-CAG100-KnockIn mouse spinal cord shows progressive TDP43 pathology associated with cholesterol biosynthesis suppression 95%
- SOD1 Enzymatic Activity in CSF from ALS patients with and without SOD1 mutations 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.