Skip to main content

GENERAL COMMENTARY article

Front. Neurol., 20 March 2017
Sec. Neurodegeneration

Commentary: Immunochemical Markers of the Amyloid Cascade in the Hippocampus in Motor Neuron Diseases

  • 1Anatomy and Pathology, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
  • 2Andalusian Center for Molecular Biology and Regenerative Medicine-CABIMER, Unversity of Seville-CSIC-University Pablo de Olavide, Seville, Spain

A Commentary on

Immunochemical Markers of the Amyloid Cascade in the Hippocampus in Motor Neuron Diseases
by Gomez-Pinedo U, Villar-Quiles R, Galan L, Matias-Guiu J, Benito-Martin M, Guerrero-Sola A, et al. Front Psychiatry (2016) 7:195. doi: 10.3389/fneur.2016.00195

In case we needed reminding, age-related neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and motor neurone disease (MND) have two factors in common: (i) advancing age as the single biggest risk factor and (ii) the fact that they are characterized by neuronal degeneration. A recent article (1) encourages us to focus on some of the similarities of these diseases by demonstrating that features characteristically associated with AD are also commonly found in MND.

In their study (1), the group measured key biomarkers of the amyloid cascade [amyloid precursor protein (APP), transactive response DNA-binding protein 43 (TDP-43), phosphorylated TDP-43 (pho-TDP43), amyloid-beta peptide (Aβ), and amyloid precursor protein-binding protein family B (Fe 65)] immunohistochemically in postmortem samples of the hippocampus of amyotrophic lateral sclerosis (ALS) and ALS–frontotemporal dementia patients. Compared to controls, they report increased levels of APP and Aβ peptide in MND patients; the latter change also correlating with cytoplasmic pho-TDP-43 expression. In addition, they found decreased Fe65 expression and increased expression of pho-tau. Interestingly, these molecular alterations were similar for both ALS and ALS–FTD, albeit more pronounced in the latter group. This indicates that the “amyloid cascade,” resulting in the accumulation of amyloid β, is activated in the hippocampus of patients with ALS and ALS–FTD, and that such activation correlates with alterations in TDP-43.

This is an important finding, because it adds to the growing body of evidence that age-related neurodegenerative diseases, rather than being discrete entities, may in fact be different points on a continuum, and the corollary of this is that they may all have similar underlying mechanisms. Indeed, a brief survey of three age-related neurodegenerative diseases (AD, PD, and MND) reveals that there is much overlap in the features associated with these conditions (Table 1), and that they have more in common than anything else (Figure 1).

TABLE 1
www.frontiersin.org

Table 1. Typical and associated features of Alzheimer’s disease (AD), Parkinson’s disease (PD), and motor neurone disease (MND).

FIGURE 1
www.frontiersin.org

Figure 1. Venn diagram summarizing overlap of features associated with Alzheimer’s disease (AD), Parkinson’s disease (PD), and motor neurone disease (MND).

The paper by Gomez-Pinedo et al. (1) is a timely reminder that researchers should perhaps not get tied up with the details of these individual diseases that are so important for differential diagnoses. Instead, those seeking to illuminate basic underlying mechanisms might do well to pool data for neurodegenerative diseases in the hope that it will point them in the right direction. After all, these conditions have so far defied effective treatment or cure.

Author Contributions

IJ wrote the initial draft. CR revised the initial draft and contributed with further writing. Both collected data from literature and revised the final manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

CR acknowledges the funding by the Spanish Ministry of Economy (RTC-2015-3309-1) and Instituto de Salud Carlos III, Spain (CPII16/00058), with cofounding by FEDER.

References

1. Gomez-Pinedo U, Villar-Quiles R, Galan L, Matias-Guiu J, Benito-Martin M, Guerrero-Sola A, et al. Immunochemical markers of the amyloid cascade in the hippocampus in motor neuron diseases. Front Psychiatry (2016) 7:195. doi:10.3389/fneur.2016.00195

CrossRef Full Text | Google Scholar

2. Hinz F, Geschwind D. Molecular genetics of neurodegenerative dementias. Cold Spring Harb Perspect Biol (2016):a023705. doi:10.1101/cshperspect.a023705

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Aday S, Sze S. Insight of brain degenerative protein modifications in the pathology of neurodegeneration and dementia by proteomic profiling. Mol Brain (2016) 9:92. doi:10.1186/s13041-016-0272-9

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vilemagne V, Dore V, Bourget P, Burnham S, Laws S, Salvado O, et al. Aβ-amyloid and Tau imaging in dementia. Semin Nucl Med (2017) 47:75–88. doi:10.1053/j.semnuclmed.2016.09.00

CrossRef Full Text | Google Scholar

5. Ballinger E, Anath M, Talmage D, Role L. Basal forebrain cholinergic circuits and signalling in cognition and cognitive decline. Neuron (2016) 91:1199–218. doi:10.1016/j.neuron.2016.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Park H, Park I, Oh Y, Yang D, Lee K, Choi H, et al. Subcortical white matter hyperintensities within the cholinergic pathways of patients with dementia and Parkinsonism. J Neurol Sci (2015) 2015(353):44–8. doi:10.1016/j.jns.2015.03.046

CrossRef Full Text | Google Scholar

7. Brandt T, Caplan L, Dichgans J, Diener H, Kennard C. Neurological Disorders. Course and Treatment. San Diego, CA: Academic Press (1997).

Google Scholar

8. Chen WW, Zhang X, Huang WJ. Role of neuroinflammation in neurodegenerative diseases (review). Mol Med Rep (2016) 13:3391–6. doi:10.3892/mmr.2016.4948

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Amor S, Peferoen L, Vogel D, Breur M, van der Valk P, Baker D, et al. Inflammation in neurodegenerative diseases – an update. Immunology (2013) 142:151–66. doi:10.1111/imm.12233

CrossRef Full Text | Google Scholar

10. Atkin G, Paulson H. Ubiquitin pathways in neurodegenerative disease. Front Mol Neurosci (2014) 7:63. doi:10.3389/fnmol.2014.00063

CrossRef Full Text | Google Scholar

11. Jansen AH, Reits EA, Hol EM. The ubiquitin proteasome system in glia and its role in neurodegenerative diseases. Front Mol Neurosci (2014) 7:73. doi:10.3389/fnmol.2014.00073

CrossRef Full Text | Google Scholar

12. Uchihara T, Giasson BI. Propagation of alpha-synuclein pathology: hypotheses, discoveries, and yet unresolved questions from experimental and human brain studies (review). Acta Neuropathol (2016) 131(1):49–73. doi:10.1007/s00401-015-1485-1

CrossRef Full Text | Google Scholar

13. Helferich AM, Ruf WP, Grozdanov V, Freischmidt A, Feiler MS, Zondler L, et al. α-Synuclein interacts with SOD1 and promotes its oligomerization. Mol Neurodegener (2015) 10:66. doi:10.1186/s13024-015-0062-3

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kalia LV, Lang AE. Parkinson’s disease. Lancet (2015) 386(9996):896–912. doi:10.1016/S0140-6736(14)61393-3

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ticozzi N, Tiloca C, Calini D, Gagliardi S, Altieri A, Colombrita C, et al. C9orf72 repeat expansions are restricted to the ALS-FTD spectrum. Neurobiol Aging (2014) 35(4):e13–7. doi:10.1016/j.neurobiolaging.2013.09.037

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Guerrero EN, Wang H, Mitra J, Hegde PM, Stowell SE, Liachko NF, et al. TDP-43/FUS in motor neuron disease: complexity and challenges. Prog Neurobiol (2016) 145-146:78–97. doi:10.1016/j.pneurobio.2016.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: neurodegenerative diseases, aging, common features, amyloid cascade, translational medical research

Citation: Johnson IP and Roodveldt C (2017) Commentary: Immunochemical Markers of the Amyloid Cascade in the Hippocampus in Motor Neuron Diseases. Front. Neurol. 8:105. doi: 10.3389/fneur.2017.00105

Received: 23 January 2017; Accepted: 02 March 2017;
Published: 20 March 2017

Edited by:

Tibor Hortobágyi, University of Debrecen, Hungary

Reviewed by:

Patrick Vourc’H, Institut national de la santé et de la recherche médicale (INSERM), France

Copyright: © 2017 Johnson and Roodveldt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ian Paul Johnson, ian.johnson@adelaide.edu.au

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.