Literature DB >> 28373859

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

Ian Paul Johnson1, Cintia Roodveldt2.   

Abstract

Entities:  

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

Year:  2017        PMID: 28373859      PMCID: PMC5357642          DOI: 10.3389/fneur.2017.00105

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


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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

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

ConditionTypical featuresAssociated features
AD1. Aβ deposition (amyloid plaques), intraneuronal aggregation of pho-tau9. Movement disorder
2. Increased amyloid precursor protein (APP), accumulation of Aβ and pho-tau
3. Cholinergic dysfunction
4. Cognitive changes
5. Sustained neuroinflammation
6. Accumulation of ubiquitinated proteins

PD5. Sustained neuroinflammation3. Cholinergic dysfunction
6. Accumulation of ubiquitinated proteins
7a. Intracellular accumulation of α-synuclein amyloid-like fibrils (Lewy bodies)4. Cognitive changes
8. Nigral dopamine loss
9. Movement disorder

MND5. Sustained neuroinflammation2. Increased APP, accumulation of Aβ and pho-tau
6. Accumulation of ubiquitinated proteins
9. Movement disorder4. Cognitive changes
10. C9ORF72 mutation7b. Intracellular α-synuclein/SOD1 co-aggregation in amyotrophic lateral sclerosis
11. Intracellular accumulation of aggregated proteins (TDP-43, FUS, and SOD1)

Numbers refer to the following references: .

Figure 1

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

Typical and associated features of Alzheimer’s disease (AD), Parkinson’s disease (PD), and motor neurone disease (MND). Numbers refer to the following references: . 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.
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Review 3.  Inflammation in neurodegenerative diseases--an update.

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Review 4.  TDP-43/FUS in motor neuron disease: Complexity and challenges.

Authors:  Erika N Guerrero; Haibo Wang; Joy Mitra; Pavana M Hegde; Sara E Stowell; Nicole F Liachko; Brian C Kraemer; Ralph M Garruto; K S Rao; Muralidhar L Hegde
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Review 5.  Basal Forebrain Cholinergic Circuits and Signaling in Cognition and Cognitive Decline.

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Review 6.  The ubiquitin proteasome system in glia and its role in neurodegenerative diseases.

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Review 7.  Propagation of alpha-synuclein pathology: hypotheses, discoveries, and yet unresolved questions from experimental and human brain studies.

Authors:  Toshiki Uchihara; Benoit I Giasson
Journal:  Acta Neuropathol       Date:  2015-10-07       Impact factor: 17.088

8.  C9orf72 repeat expansions are restricted to the ALS-FTD spectrum.

Authors:  Nicola Ticozzi; Cinzia Tiloca; Daniela Calini; Stella Gagliardi; Alessandra Altieri; Claudia Colombrita; Cristina Cereda; Antonia Ratti; Gianni Pezzoli; Barbara Borroni; Stefano Goldwurm; Alessandro Padovani; Vincenzo Silani
Journal:  Neurobiol Aging       Date:  2013-10-02       Impact factor: 4.673

9.  α-synuclein interacts with SOD1 and promotes its oligomerization.

Authors:  Anika M Helferich; Wolfgang P Ruf; Veselin Grozdanov; Axel Freischmidt; Marisa S Feiler; Lisa Zondler; Albert C Ludolph; Pamela J McLean; Jochen H Weishaupt; Karin M Danzer
Journal:  Mol Neurodegener       Date:  2015-12-08       Impact factor: 14.195

Review 10.  Role of neuroinflammation in neurodegenerative diseases (Review).

Authors:  Wei-Wei Chen; Xia Zhang; Wen-Juan Huang
Journal:  Mol Med Rep       Date:  2016-02-29       Impact factor: 2.952

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