Global, regional, and national burden of motor neuron diseases 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Theme 1 Epidemiology and informatics

Background: Identifying mechanisms of neurodegenerative disease causation has for long seemed to be beyond the pale of traditional epidemiological tools. Elucidating a plausible mechanism for initiation of amyotrophic lateral sclerosis (ALS) has appeared particularly elusive (1). The impression, that environmental risk factors for ALS were not providing consistent direction, meant there was no sturdy epidemiologically-based "handle" to grasp when trying to envisage a biological mechanism for triggering sporadic ALS (2). There have been challenges with interpreting the data. At times, generic concerns over potential limitations of traditional epidemiological studies have appeared to overshadow the findings in circumstances where these limitations had been overcome largely. At other times, studies with different degrees of methodological limitations have been lumped together, thereby obscuring the results of the studies with less limitations. On occasion, methodological limitations have been downplayed or ignored entirely.Emergence of Mendelian Randomization (MR) methods has offered the promise of overcoming some of the potential limitations of epidemiological studies that used traditional methods. MR methods apply concepts developed in the field of economics to infer causality in the presence of unmeasured confounding (3). The principal idea is: 1) a genetic pattern is identified that predicts a suspected risk factor - a laboratory value in patients' blood, or a particular behavior; 2) that pattern is sought in patients and controls; 3) excess presence of the pattern in patients suggests that the risk factor plays a causal role in producing the disease.However, application of MR methods requires that several underlying assumptions, specific to these methods, have been satisfied (3). Moreover, epidemiological analyses using MR methods need to adhere to core epidemiological and statistical principles. Finally, findings from MR studies need to be interpreted critically, with close attention to the context from which they arise, and with utilization of internal and external comparators (4,5).This presentation will discuss the assumptions that need to be met to apply MR methods in general and how they relate to studies in patients with ALS, drawing on recently published reports.

Nondestructive Characterization of Stem Cell Neurogenesis by a Magneto-Plasmonic Nanomaterial-Based Exosomal miRNA Detection

The full realization of stem cell-based treatments for neurodegenerative diseases requires precise control and characterization of stem cell fate. Herein, we report a multifunctional magneto-plasmonic nanorod (NR)-based detection platform to address the limitations associated with the current destructive characterization methods of stem cell neurogenesis. Exosomes and their inner contents have been discovered to play critical roles in cell-cell interactions and intrinsic cellular regulations and have received wide attention as next-generation biomarkers. Moreover, exosomal microRNAs (miRNA) also offer an essential avenue for nondestructive molecular analyses of cell cytoplasm components. To this end, our developed nondestructive, selective, and sensitive detection platform has (i) an immunomagnetic active component for exosome isolation and (ii) a plasmonic/metal-enhanced fluorescence component for sensitive exosomal miRNA detection to characterize stem cell differentiation. In a proof-of-concept demonstration, our multifunctional magneto-plasmonic NR successfully detected the expression level of miRNA-124 and characterized neurogenesis of human-induced pluripotent stem cell-derived neural stem cells in a nondestructive and efficient manner. Furthermore, we demonstrated the versatility and feasibility of our multifunctional magneto-plasmonic NRs by characterizing a heterogeneous population of neural cells in an ex vivo rodent model. Collectively, we believe our multifunctional magneto-plasmonic NR-based exosomal miRNA detection platform has a great potential to investigate the function of cell-cell interactions and intrinsic cellular regulators for controlling stem cell differentiation.

Pathomechanisms of Blood-Brain Barrier Disruption in ALS

The blood-brain barrier (BBB) and the blood-spinal cord barrier (BSCB) are responsible for controlling the microenvironment within neural tissues in humans. These barriers are fundamental to all neurological processes as they provide the extreme nutritional demands of neural tissue, remove wastes, and maintain immune privileged status. Being a semipermeable membrane, both the BBB and BSCB allow the diffusion of certain molecules, whilst restricting others. In amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, these barriers become hyperpermeable, allowing a wider variety of molecules to pass through leading to more severe and more rapidly progressing disease. The intention of this review is to discuss evidence that BBB hyperpermeability is potentially a disease driving feature in ALS and other neurodegenerative diseases. The various biochemical, physiological, and genomic factors that can influence BBB permeability in ALS and other neurodegenerative diseases are also discussed, in addition to novel therapeutic strategies centred upon the BBB.

Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

BACKGROUND

Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.

METHODS

We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.

FINDINGS

Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable).

INTERPRETATION

Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies.

FUNDING

Bill & Melinda Gates Foundation.

Predicting the future of ALS: the impact of demographic change and potential new treatments on the prevalence of ALS in the United Kingdom, 2020-2116

Objective: To model the effects of demographic change under various scenarios of possible future treatment developments in ALS. Methods: Patients diagnosed with ALS at the King’s College Hospital Motor Nerve Clinic between 2004 and 2017, and living within the London boroughs of Lambeth, Southwark, and Lewisham (LSL), were included as incident cases. We also ascertained incident cases from the Canterbury region over the same period. Future incidence of ALS was estimated by applying the calculated age- and sex-specific incidence rates to the UK population projections from 2020 to 2116. The number of prevalent cases for each future year was estimated based on an established method. Assuming constant incidence, we modelled four possible future prevalence scenarios by altering the median disease duration for varying subsets of the population, to represent the impact of new treatments. Results: The total number of people newly diagnosed with ALS per year in the UK is projected to rise from a baseline of 1415 UK cases in 2010 to 1701 in 2020 and 2635 in 2116. Overall prevalence of ALS was predicted to increase from 8.58 per 100,000 persons in 2020 to 9.67 per 100,000 persons in 2116. Halting disease progression in patients with C9orf72 mutations would yield the greatest impact of the modelled treatment scenarios, increasing prevalence in the year 2066 from a baseline of 9.50 per 100,000 persons to 15.68 per 100,000 persons. Conclusions: Future developments in treatment would combine with the effects of demographic change to result in more people living longer with ALS.

Electrical Property of Graphene and Its Application to Electrochemical Biosensing

Graphene, a single atom thick layer of two-dimensional closely packed honeycomb carbon lattice, and its derivatives have attracted much attention in the field of biomedical, due to its unique physicochemical properties. The valuable physicochemical properties, such as high surface area, excellent electrical conductivity, remarkable biocompatibility and ease of surface functionalization have shown great potentials in the applications of graphene-based bioelectronics devices, including electrochemical biosensors for biomarker analysis. In this review, we will provide a selective overview of recent advances on synthesis methods of graphene and its derivatives, as well as its application to electrochemical biosensor development. We believe the topics discussed here are useful, and able to provide a guideline in the development of novel graphene and on graphene-like 2-dimensional (2D) materials based biosensors in the future.