| Literature DB >> 31851317 |
Virenkumar A Pandya1,2, Rickie Patani1,2.
Abstract
With an ageing population comes an inevitable increase in the prevalence of age-associated neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS), a relentlessly progressive and universally fatal disease characterized by the degeneration of upper and lower motor neurons within the brain and spinal cord. Indeed, the physiological process of ageing causes a variety of molecular and cellular phenotypes. With dysfunction at the neuromuscular junction implicated as a key pathological mechanism in ALS, and each lower motor unit cell type vulnerable to its own set of age-related phenotypes, the effects of ageing might in fact prove a prerequisite to ALS, rendering the cells susceptible to disease-specific mechanisms. Moreover, we discuss evidence for overlap between age and ALS-associated hallmarks, potentially implicating cell type-specific ageing as a key contributor to this multifactorial and complex disease. With a dearth of disease-modifying therapy currently available for ALS patients and a substantial failure in bench to bedside translation of other potential therapies, the unification of research in ageing and ALS requires high fidelity models to better recapitulate age-related human disease and will ultimately yield more reliable candidate therapeutics for patients, with the aim of enhancing healthspan and life expectancy.Entities:
Keywords: ageing; amyotrophic lateral sclerosis; healthspan; lower motor unit; neuromuscular junction
Mesh:
Year: 2020 PMID: 31851317 PMCID: PMC7174045 DOI: 10.1093/brain/awz360
Source DB: PubMed Journal: Brain ISSN: 0006-8950 Impact factor: 13.501
Figure 1Human ageing theories and phenotypes. A number of theories aim to explain human ageing (reviewed in Jin, 2010), broadly categorized into the programmed theories of ageing, where normal ageing follows a set biological clock with time-dependent expression changes, and damage theories of ageing, where accumulation of damage over time ultimately leads to dysfunction (reviewed in Jin, 2010). Age-related abnormalities (described above) are apparent in several organs (reviewed in Khan ); however, differential resistance/vulnerability to the effects of ageing in various organs has been noted (reviewed in Khan ). The rate of ageing differs between individuals, with some people ageing better and some worse than expected in a phenomenon termed Delta ageing (Rhinn and Abeliovich, 2017). Indeed, variability of ageing rate might also occur on a cellular and organ level, somewhat providing evidence for the mechanism behind cell type and organ specific susceptibility to the effects of ageing, and in turn age-related disease, such as ALS. Templates used/adapted to create this figure are freely available from Servier Medical Art (https://smart.servier.com/).
Figure 2The lower motor unit. Individual components of the lower motor unit: lower motor neuron, skeletal muscle, astrocyte, myelinating Schwann cell, terminal Schwann cell. All constituents of the lower motor unit play key roles in motor function and voluntary movement, are affected by normal ageing and are implicated in ALS pathogenesis. The site of unification of motor neuron and muscle (the neuromuscular junction) has a vital role in ALS pathology and also undergoes age-associated alterations. Templates used/adapted to create this figure are freely available from Servier Medical Art (https://smart.servier.com/).
Summary: the interplay between ageing and ALS
| Lower motor unit cell type | Normal ageing | Key references | Amyotrophic lateral sclerosis | Key references |
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Reduction in motor neuron number with ageing Loss of synaptic inputs Electrical abnormalities ‘Senescence like’ alterations Lipofuscin accumulation Mitochondrial aberrance Age-dependency in motor phenotypes and MN degeneration |
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Loss of MNs in ALS (degeneration) Loss of synaptic inputs Excitotoxicity Cytoskeletal changes RNA metabolism alterations Mitochondrial aberrance Axonal transport defects Ageing risk factor for MN degeneration in ALS |
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Sarcopenia: age-associated muscle weakness/wasting Satellite cells: loss of regenerative capacity; poor proliferation and self-renewal; senescence Altered skeletal muscle niche/environment NF-κB implications Mitochondrial dysfunction, oxidative stress, autophagy alterations, ER stress FGFBP1 maintains NMJ in ageing |
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ALS: early muscle symptoms-weakness; wasting Muscle specific expression of SOD1 → MN degeneration (die-back hypothesis) Satellite cells: loss of regenerative capacity NF-κB implications Mitochondrial dysfunction, oxidative/ER stress and autophagy defects = proposed ALS mechanisms FGFBP1 maintains NMJ in an ALS model |
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Ageing upregulates A1 reactive genes > A2 Aged ACs are vulnerable to oxidative stress Senescence Loss of AC neuronal support functions with ageing (e.g. cholesterol synthesis) Age-associated regional heterogeneity in AC expression Disrupted interaction with microglia-proinflammatory |
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A1 AC phenotype in ALS Oxidative stress is a proposed ALS mechanism ACs in ALS: evidence for toxic gain-of-function and loss of homeostatic function mechanisms Differential regional vulnerability to neurodegeneration and pathology might relate AC expression changes with ageing Neuroinflammation is a proposed ALS mechanism |
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Disrupted macrophage interaction and phagocytosis Loss of Schwann cell dedifferentiation potential and regenerative capacity with ageing Disrupted Schwann cell structure with ageing Terminal Schwann cell numerical decline with ageing, with remaining TSCs structurally aberrant |
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TSC morphological, structural and numerical alterations are implicated in ALS Loss of Schwann cell regenerative capacity in ALS |
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Refer to the ‘Discussion’ section for further evidence supporting the interplay between ageing and ALS. AC = astrocyte; MN = motor neuron.
Individual cellular components of the lower motor unit (Fig. 2) undergo an array of changes in both normal ageing and ALS, a number of which are summarized above but discussed in detail in the text. Indeed, careful interrogation of overlapping molecular/cellular phenotypic alterations in ageing and ALS might reveal key insights into the interplay between this ubiquitous physiological phenomenon and the rapidly progressive, universally fatal age-associated neurodegenerative disease. aReview articles.
Integrative modelling
| Animal models ( | Cell models ( | Post-mortem tissue | |||
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| Benefits | Limitations | Benefits | Limitations | Benefits | Limitations |
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Can model functionality on an organism level 3D model Transgenic models can capture molecular, cellular and functional phenotypes of disease Allows disease understanding in context of full complement of other cell types Measures such as life expectancy and the development of pathology over time are valuable Ageing can be easily recapitulated with longitudinal observation in animals Some animals have human resembling anatomy and prove better models of human disease e.g. primates A number of |
Some transgenic models overexpress genes to supraphysiological levels, losing fidelity Vast differences in anatomy, lifespan and physiology compared to humans Development and disease mechanisms can differ amongst different species Complex Species differences make it difficult to form reliable conclusions for human disease Longitudinal ageing studies are time consuming (rodents must be maintained for months to years and higher order animal models e.g. primates, will take even longer to reach old age)
Cannot model sporadic disease |
High availability from Maintain Can study chronological pathology development |
Faster results and lower maintenance requirements than human iPSCs 2D model Cannot obtain primary human neurons until post-mortem
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Human and patient specific model Capture of pathological hallmarks of disease and localization to anatomical regions Ability to observe pathology temporality via samples of patients of various age: require large sample sizes (Braak studies) Account for human cellular complexity Ability to visualize histopathological hallmarks Ability to reliably isolate anatomical regions Can compare cell type-specific vulnerability by identifying which cell types are most affected by pathology Can model sporadic disease |
Variations in post-mortem delay - difficult to account for Single snapshot of end-stage disease - terminal model fails to capture initiating pathology Tissue alterations Limited tissue availability - reliance on organ donors Patient comorbidity or cause of death might confound conclusions Difficulty in study of rare diseases due to lack of availability of patient samples
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Human and patient specific model Co-culture allows study of non-cell autonomous disease mechanisms Capacity to self-renew and continue proliferation Retains patient-specific mutations for disease study Ability to visualize first signs of pathology Can direct differentiation to a number of fates 3D models exist Can model sporadic disease |
Foetal age profile Simplified model that might not reflect Require developmentally rationalized directed differentiation paradigms to yield pure cell types efficiently High cost and time demand 2D model
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A range of ALS models exist which recapitulate molecular, cellular and functional phenotypes of the disease; however, these models are yet to provide patients with therapies that significantly enhance life quality or expectancy. Each method of studying ALS has benefits and limitations (reviewed in Serio and Patani, 2018), and all have capacity to incorporate ageing, thereby allowing better representation of age-associated neurodegenerative diseases such as ALS. Cross-validation of results by integrating the various methods allows acquisition of reliable, high fidelity results. The fusion of ageing into existing in vivo and in vitro ALS models and post-mortem tissue and cross-validation of results via all approaches will ultimately benefit bench to bedside translation and in turn, patient lifespan and healthspan.
Figure 3Healthspan versus lifespan: ageing and ALS. Patient functionality alters with age. There is an increase in functionality from birth to optimum reproductive age where, evolutionarily, humans reach peak performance to give best chance of survival on a species level. From then, there is a gradual decline in functionality that can lead to disability once a certain threshold is passed. In ALS, this functional decline is particularly pronounced, with end of life trajectory of terminal illness and death at a much younger age. A variety of end of life trajectories exist, leading to significant disability before death (when compared to sudden death where there is no further functional decline) (Lunney ). Functionality is a key component of quality of life, so while lifespan or longevity is seen on the x-axis, healthspan (years spent in good health/quality of life/functionality) is seen on the y-axis. The aim of therapeutics in ageing (Crimmins, 2015; Olshansky, 2018) and ALS research is to maximize healthspan and minimize functional decline and disability.