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Rinnakkaistallenteet Terveystieteiden tiedekunta

2018

A report from the 8th Kuopio Alzheimer Symposium

Haapasalo, Annakaisa

Future Medicine Ltd

Tieteelliset aikakauslehtiartikkelit

© Future Medicine Ltd All rights reserved

http://dx.doi.org/10.2217/nmt-2018-0029

https://erepo.uef.fi/handle/123456789/7921

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Conference report 1

A report from the 8th Kuopio Alzheimer Symposium 2

Annakaisa Haapasalo1* and Mikko Hiltunen2 3

1A.I. Virtanen Institute for Molecular Sciences and2Institute of Biomedicine, University of Eastern 4

Finland, Kuopio, Finland.

5

6

*Corresponding author:

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Annakaisa Haapasalo, PhD 8

Associate Professor in Molecular Neurodegeneration 9

A.I. Virtanen Institute for Molecular Sciences 10

University of Eastern Finland 11

Neulaniementie 2 12

70211 Kuopio, Finland 13

Tel: +358 40 355 2768 14

E-mail: annakaisa.haapasalo@uef.fi 15

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Running title: Report from 8th Kuopio AD symposium 17

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Abstract 21

The international Kuopio Alzheimer Symposium was organized by the University of Eastern Finland 22

in Kuopio, Finland on June 6-8, 2018 for the 8th time. Approximately 300 researchers in the fields of 23

neuroscience and neurology from 12 different countries around the world gathered to Kuopio to hear 24

and discuss about the latest insights into the mechanisms and comorbidities and novel approaches 25

for diagnosis, prediction, prevention and therapies of Alzheimer s disease (AD) and other 26

neurodegenerative diseases. The two-day international program on June 7-8 included a keynote 27

session, five oral scientific sessions, and a poster session. The international symposium was 28

preceded by a “Memory Day” on June 6, held in Finnish and targeted to Finnish health care 29

professionals, including doctors, psychologists, and nurses, who work daily with patients suffering 30

from neurodegenerative diseases.

31

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The 8th Kuopio Alzheimer Symposium hosted 25 talks by international leading scientists and 32

49 poster presentations given by PhD students, postdocs and other researchers. The themes in the 33

symposium covered novel advances related to disease mechanisms, model systems and 34

translational medicine applications, biomarker studies, brain imaging, technology-supported 35

diagnosis and care, population-based prevention studies, co-morbidities, and clinical treatment 36

studies.

37

Alzheimer’s disease (AD), the most common cause of dementia in the elderly, and other 38

neurodegenerative diseases generate a growing global health challenge as the portion of the aging 39

population in the societies continuously increases worldwide [1]. Aging is the most important risk 40

factor for dementing brain diseases. On the other hand, some neurodegenerative disorders, such as 41

frontotemporal lobar degeneration (FTLD), whose main clinical subtype is frontotemporal dementia 42

(FTD), typically have an earlier onset age than AD. Therefore, they may affect people already at 43

working-age [2]. Management of neurodegenerative diseases and their comorbidities, such as 44

cardiovascular diseases, high blood pressure, type 2 diabetes (T2D), or brain traumas, which are 45

other major risk factors for neurodegenerative diseases, becomes increasingly important and has 46

been recognized as a health care priority internationally and nationally in different countries [1,3]. A 47

general consensus is that identification of the patients or even individuals with an increased risk of 48

having a neurodegenerative disease as early as possible is key to successful treatment and 49

prevention of AD and other neurodegenerative disorders. Combining data from biomarker and brain 50

imaging studies with information of the individual’s genetic background will likely be applied in the 51

risk assessment, early diagnosis, prevention, and choosing appropriate treatment options for 52

neurodegenerative diseases at personalized level in the future. However, early identification and 53

intervention are complicated by the current lack of suitable specific and sensitive biomarkers, which 54

could be used in the diagnosis or prediction of the diverse neurodegenerative diseases. The currently 55

available treatments offer only relief to the symptoms (e.g. behavioral or psychiatric symptoms) and 56

support for the neuronal function, but so far, no disease-modifying therapies that would be able to 57

decelerate or halt the disease progression exist for treating the patients suffering from 58

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neurodegenerative diseases. One likely reason for this is that the molecular disease mechanisms 59

underpinning neurodegeneration are highly complex and not yet well understood. Thus, novel model 60

systems, including those directly derived from the patients themselves, are needed to decipher 61

disease mechanisms and aid the discovery of novel biomarker candidates and therapeutic targets.

62

Also, preventive measures that could be applied globally are essential in the management of 63

neurodegenerative diseases in the future. These complex and challenging topics were covered in 64

the presentations of the 8th Kuopio Alzheimer Symposium. Here, we provide a summary of the oral 65

presentations of the symposium.

66

67

Keynote lectures 68

In 2018, 112 drugs are in the development pipeline for AD. Of these, 23 agents (in 25 trials) 69

are in phase I, 63 agents (in 75 clinical trials) in phase II, and 26 agents (in 35 trials) in phase III [4].

70

Sixty three percent are disease-modifying drugs, 22 % are symptomatic cognitive enhancers and 12 71

% address neuropsychiatric or behavioral symptoms [4]. Despite the large number of trials, many 72

initially promising clinical trials have been discontinued because of the lack of efficacy or adverse 73

side effects over the last decades. Prof. Hilkka Soininen from the University of Eastern Finland, 74

Kuopio, Finland, underlined in her keynote lecture on “Highlights of clinical Alzheimer research” that 75

development of treatments and prevention are major challenges in AD research. Therefore, it is 76

essential to focus on earlier start of the treatment of the patients so that a patient with the right 77

diagnosis gets the right drug at the right time. By using biomarker data, AD can be diagnosed earlier.

78

Furthermore, participants could be recruited into drug trials in an earlier phase of the disease, which 79

is important when investigating effects of disease-modifying treatments. Large international 80

consortium studies related to brain imaging, biomarker and genetics have produced an ample 81

amount data. The temporal sequence of disease progression in AD, suggested also by previous 82

brain imaging and biomarker studies, was recently confirmed by Dominantly Inherited Alzheimer 83

Network (DIAN), reporting that in AD familial mutation carriers, -amyloid (A ) starts accumulating 84

over two decades before the symptoms, followed by brain metabolism decline six years later, and 85

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brain atrophy about five years before symptoms [5]. Therefore, international consortia aiming at 86

better understanding of the early stages of AD and testing interventions that are targeted to AD 87

prevention before the clinical symptoms occur are extremely important. Prof. Soininen summarized 88

that key issues in the successful drug development and treatment of AD patients in the future are 89

the need for disease-modifying drugs, new drug targets and proper target validation, targets 90

suggested by epidemiological studies that have been confirmed in randomized control trials (RCTs) 91

and use of combination therapies.

92

The other keynote lecture was given by Prof. Daniel M. Michaelson from Rabin Institute of 93

Neurobiology, Tel Aviv University, Israel, on “Converging approaches to the development of anti- 94

APOE4 therapy”. Apolipoprotein E4 (APOE 4) is the strongest genetic risk factor for AD, increasing 95

the risk of AD by approximately four-fold [6]. Prof. Michaelson suggested thatAPOE 4, if combined 96

with a “second hit”, such as aging, head injury, A , tau, or synaptic stress, is harmful to the neurons 97

and causes synaptotoxic effects. Using the CRISPR-Cas9 gene editing technology to specifically 98

target APOE 4 in mice and crossing these targeted replacement (TR) mice with -synuclein- 99

deficient mice, Prof. Michaelson and colleagues found that the mice displayed decreased levels of 100

specific synaptic markers and increased levels of A 42, hyperphosphorylated tau and the astrocyte 101

marker glial fibrillary acidic protein (GFAP), corroborating their “second hit” hypothesis. The mice 102

also showed cognitive deficits in behavioral tests. Prof. Michaelson’s team has also used theAPOE 103

4 TR mice to investigate the effects of immunization therapy using specific anti-ApoE4 monoclonal 104

antibodies and treatments targeting lipidation, as they had earlier found that ApoE4 protein is 105

hypolipidated. Repetitive immunization of young ApoE4 TR mice resulted in the accumulation of 106

ApoE-antibody complexes in the brain and the reversal of the A 42, tau, and synaptic pathological 107

alterations and cognitive deficits. Moreover, treatment of young APOE4-TR mice with CS-6253, a 108

brain-penetrant agonist of the lipidation protein ATP-binding cassette transporter (ABCA1), reversed 109

the hypolipidation of ApoE4 and counteracted the APOE4-driven brain and cognitive impairments.

110

Altogether, Prof. Michaelson’s team has identified potential new APOE4-related therapeutic 111

approaches, which might show translational potential also in AD patients.

112

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I Scientific session - Translational research of neurodegeneration in Alzheimer’s disease and 113

other neurodegenerative diseases 114

Patients with different neurodegenerative diseases are neuropathologically characterized by 115

accumulation of protein aggregates in the affected brain areas [7]. Dr. Vesa Kiviniemi from University 116

of Oulu, Finland, presented insights into enhancing brain clearance of aggregated proteins through 117

the recently discovered glymphatic system [8]. Recent findings suggest that dysfunction of the 118

glymphatic system leads to a slow accumulation of proteins and neurodegeneration. While the 119

glymphatic system and factors affecting clearance in brain are under intensive debate, research 120

elucidating these factors may hold great potential for identification of novel therapeutic approaches.

121

Normally, glymphatic system pulsation is at least partially driven by the heart to clear up the brain, 122

but in AD brain, the glymphatic system pulsation shows an impairment. This finding is supported by 123

e.g. novel brain magnetic resonance imaging (MRI) signal analyses and advances in optoelectronic 124

imaging enabling the monitoring of dynamic free water changes in the human brain. Studies in AD 125

mouse models indicate that increasing of blood-brain barrier (BBB) permeability with focused 126

ultrasound (FUS) can facilitate the removal of the accumulated proteins from the brain and reverse 127

memory loss. The research team of Dr. Kiviniemi now uses advanced optoelectronic brain monitoring 128

to measure the status of glymphatic brain system at various manipulations of BBB. They aim at 129

investigating tailored techniques for BBB opening to reveal the role of BBB permeability in brain 130

clearance and allow optimization of therapies targeted to brain areas with insufficient clearance.

131

Technological advances allowing the use of skin fibroblasts or blood cells to generate induced 132

pluripotent stem cells (iPSC) and further neurons or other brain cells, such as astrocytes or microglia, 133

from the patients have revolutionized the field of modeling different neurological diseases and offer 134

excellent options to screen new biomarker and drug candidates [9-12]. Prof. Jari Koistinaho from the 135

University of Eastern Finland, Kuopio, and University of Helsinki, Finland, described utilization of the 136

iPSC technology to generate astrocytes from AD patients harboring the exon 9 deletion in thePSEN1 137

gene (PSEN1 E9). He showed that the PSEN1 E9 mutant astrocytes, which manifest key 138

hallmarks of AD pathology including increased A production, altered cytokine release and 139

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dysregulated calcium homeostasis, also show impaired mitochondrial metabolism and glutathione 140

and lactate secretion concomitantly with increased reactive oxygen species production after 141

neuroinflammatory stimulation. When co-cultured in 3D cultures together with neurons from a healthy 142

donor, these mutant astrocytes, but not the gene-corrected isogenic control astrocytes generated 143

using CRISPR/Cas9 technology from the same PSEN1 E9 mutation-carrying patients, led to 144

impairments of synaptic responses in the neurons. These data provide novel insights into the 145

important and previously poorly known contribution of astrocytes to AD pathology in humans.

146

Drug development against AD has faced many drawbacks as many drug trials have been 147

stopped because of the lack of efficacy or adverse side effects, such as liver toxicity. Although 148

treatment of patients with already established dementia has been unsuccessful, stopping A 149

deposition by -secretase ( -site amyloid precursor protein cleaving enzyme, BACE1) inhibition 150

appears a promising treatment strategy for AD. Dr. Ulf Neumann form Novartis Institute for 151

Biomedical Research, Basel, Switzerland, said that the current hypothesis is that BACE1 inhibition 152

treatment (or other A -targeting therapies) needs to be started at the early phases of A deposition, 153

before the onset of significant neurodegeneration. He introduced the BACE1 inhibitor CNP520, 154

which had undergone previous careful pharmacokinetic, metabolism, and long-term toxicological 155

profiling. Clinical phase I and phase IIa studies in healthy elderly volunteers established its safety, 156

tolerability, and active dose range. The phase I studies showed a dose- and time-dependent 157

reduction of cerebrospinal fluid (CSF) A 42 by CNP520 and its activity was unchanged by theAPOE 158

genotype. Therefore, the profile of CNP520 supports its use in prevention studies of AD. Currently, 159

clinical phase II/III studies are ongoing, which test CNP520 effects in a cognitively healthy population 160

with enhanced risk to develop AD. Participants were included based on their age, APOE 4 161

genotype, and for those carrying a singleAPOE 4 allele, elevated brain amyloid. The dose selection 162

for CNP520 in long-term clinical trials aims at avoiding full enzyme inhibition, good safety margins, 163

and good separation of exposure and effect.

164

Prof. Dieter Edbauer from German Center for Neurodegenerative Diseases (DZNE), Munich, 165

Germany, discussed the early role of dipeptide repeat (DPR) proteins in C9orf72 hexanucleotide 166

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repeat expansion-associated amyotrophic lateral sclerosis (ALS)/FTD. This repeat expansion is the 167

most common genetic cause of ALS and FTD [13,14]. His team has previously shown that the 168

expanded repeat RNA is translated in all reading frames into five DPR proteins by an unconventional 169

mechanism, but it is still unclear how toxicity of the repeat RNA and the DPR proteins are driving 170

neurodegeneration in patients. The C9orf72 repeat expansion carriers show brain atrophy and 171

deficits in neuropsychological tests already 20 years before disease onset [15] and the DPR proteins 172

can be detected in the CSF of presymptomatic C9orf72 expansion carriers many years prior to 173

disease onset [16]. To elucidate the potential early role of DPR proteins in ALS/FTD, Prof. Edbauer’s 174

group has generated cellular and animal models expressing the DPR proteins individually. They 175

showed that mice overexpressing the neurotoxic poly-glycine-alanine (poly-GA), the most abundant 176

DPR species in patient brains, display progressive brain poly-GA protein and phosphorylated TDP- 177

43 pathology and progressive motor deficits and gait abnormalities. Mice expressing poly-GA at high 178

levels showed regional neurodegeneration that was preceded by microglial activation. Using 179

cryoelectron tomography, the Edbauer team found that poly-GA protein aggregates sequestered 180

large amounts of proteasomes, which are essential components of the protein degradation 181

machinery in cells, and inhibit their function, leading to stalled protein degradation. All in all, the data 182

indicate that early DPR expression contributes to the prodromal symptoms and disease progression 183

of C9orf72 hexanucleotide repeat expansion-carrying patients and one potential underlying 184

mechanism driving neurodegeneration could be compromised proteasomal protein degradation, 185

leading to toxic protein accumulation in the brain.

186

187

II Scientific session - New developments in diagnostic and predictive biomarkers in 188

Alzheimer’s disease and other neurodegenerative diseases 189

Dr. Marylene Simon from Roche Diagnostics GmbH, Penzberg, Germany and Roche 190

Diagnostics International, Rotkreuz, Switzerland opened the session by discussing automated CSF 191

biomarker assays in AD management. She described a study where CSF samples collected from 192

patients with mild cognitive impairment (MCI), subjective cognitive decline, and AD from the Swedish 193

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BioFINDER and theAlzheimer’s Disease Neuroimaging Initiative (ADNI) cohort were analyzed using 194

the Roche Elecsys® A 42 immunoassay. The results were compared to positron emission 195

tomography (PET) brain A imaging data to test the potential of the CSF biomarker status to predict 196

clinical progression, measured by the change in the Clinical Dementia Rating Sum of Boxes (CDR- 197

SB) score from baseline to 24 months. They found that CSF biomarker data from the Elecsys®

198

immunoassay analyses and A PET imaging showed high concordance. Moreover, biomarker 199

positive and negative groups showed significantly different progression rates over the 24-month 200

follow-up. These findings suggest that the Elecsys® CSF biomarker assays show potential in the 201

diagnosis and prediction of patients with suspected AD or MCI.

202

Tau pathology is a hallmark of several neurodegenerative diseases and CSF tau and 203

phosphorylated tau levels, in addition to those of total tau and A 42, are used as clinical biomarkers 204

for AD and other neurodegenerative diseases [17]. Assoc. Prof. Kina Höglund from University of 205

Gothenburg, Sweden, presented novel CSF tau fragments as potential candidate biomarkers for 206

tauopathies, including AD. Her team hypothesizes that secreted tau fragments may reflect disease- 207

specific proteolytic cleavages of tau. They have developed a technique where CSF samples are 208

immunoprecipitated using specific antibodies against tau followed by mass spectrometry (MS) 209

analysis. They also have generated end-specific tau antibodies and developed enzyme-linked 210

immunosorbent assay (ELISA) or single molecule array (Simoa) assays using these antibodies. For 211

each tau fragment, the clinical relevance in CSF studies was evaluated by comparing the levels 212

between AD and other tauopathies to healthy controls and correlating the data to tau PET brain 213

imaging. The research team found that amino-terminal tau fragments of 20-25 kDa in size provided 214

the best separation between AD patients and controls. Specific fragments were found increased in 215

the CSF of AD patients as compared to the controls and these fragments were enriched in the tau 216

neurofibrillary tangles (NFTs) in the brain. Interestingly, patients with progressive supranuclear palsy 217

(PSP), another tauopathy and a rare form of FTLD, showed decreased levels of these fragments.

218

Future studies will reveal whether these fragments prove to be useful biomarkers in the clinics.

219

Prof. Martin Ingelsson from Uppsala University, Sweden, discussed improved discrimination 220

between healthy control subjects and patients with cognitive decline. His group applied ELISA and 221

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MS-based shotgun proteomics to investigate the classical biomarkers and the CSF proteome in 222

patients with AD, FTD, or mild cognitive impairment (MCI; some of which converted to AD during 223

follow-up) and in non-demented control subjects. They observed that 12 MS-based biomarkers can 224

slightly improve identification of AD patients. Furthermore, combination of ELISA and MS-based 225

assays allowed a good identification of FTD patients. Prof. Ingelsson concluded that their findings 226

suggest that the addition of new biomarkers in a model-based approach can improve the value of 227

analyzing CSF to distinguish control subjects from patients with cognitive decline.

228

Prof. Pieter Jelle Visser from Maastrich University, The Netherlands, introduced the EMIF-AD 229

Multimodal Biomarker Discovery Study for identifying diagnostic and predictive markers for AD in 230

the predementia stage. In this study, the diagnostic and prognostic value of proteins in CSF and 231

plasma, brain atrophy patterns on MRI and genetic markers are tested. Existing samples and brain 232

scans from altogether 1200 A -positive and negative individuals with normal cognition, mild cognitive 233

impairment (MCI) or mild dementia from 11 existing European cohort studies central proteomic, 234

metabolomic, genomic, epigenomic and imaging analyses. The average follow-up was 2.3 years.

235

Prof. Visser concluded that by combining already existing data and samples, it is feasible to perform 236

large-scale multimodal biomarker discovery analyses. Also, including CSF and possibly plasma 237

analyses of recently introduced new biomarkers, whose levels are altered in AD patients including 238

neurofilament light chain (NFL), neurogranin, and YKL40, a chitinase-like glycoprotein associated 239

with inflammation and tissue remodeling, might show potential diagnostic value in the future.

240 241

III Scientific session - New technologies in neurodegenerative diseases, including imaging, 242

disease models and neuroinformatics 243

Insulin resistance (IR) is suggested to be a risk factor for AD and cognitive decline [18].

244

Previous studies have also shown that cardiovascular risk factors, such as increased cholesterol or 245

blood pressure, are associated with AD and cognitive decline later in life [19]. However, association 246

among midlife IR and late-life cognitive performance, cerebrovascular lesions, and brain A 247

accumulation is unclear. Dr. Laura Ekblad from Turku PET Center, Finland, discussed about PET 248

imaging of individuals who did not have dementia but had an increased homeostatic model 249

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assessment of IR (HOMA-IR) score at midlife. Sixty individuals, of whom half had elevated HOMA- 250

IR score (HOMA-IR+) at midlife and the other half normal HOMA-IR score (HOMA-IR-), underwent 251

neuropsychological testing, MRI, and PET imaging using the A -binding Pittsburgh compound B 252

(PiB). In both groups, 50% of the individuals carried the APOE 4 allele. In the HOMA-IR+ group, 253

60% of the individuals and in the HOMA-IR- group, 33% of the individuals showed positive PiB-PET 254

imaging results. Concomitantly, the HOMA-IR+ group displayed lower executive function and 255

processing speed in the neuropsychological tests. Moreover, in the HOMA-IR+ group, theAPOE 4 256

carriers showed enhanced PiB binding in the PET imaging. Dr. Ekblad summarized that their findings 257

now show that midlife IR is an independent risk factor for brain A accumulation and decreased 258

cognitive function in elderly individuals, who do not have dementia. An unexpected observation was 259

that individuals with IR did not have more cerebrovascular lesions than those without IR.

260

Dr. Jyrki Lötjönen from Combinostics Ltd, Tampere, Finland, described thePredictND project 261

developing tools for helping the clinical diagnosis of patients with neurodegenerative diseases.

262

These tools aid clinicians in interpreting different types of data coming from multiple sources 263

(biomarkers, brain imaging etc.) in a systematic and objective manner to support disease diagnosis 264

and prediction. ThePredictND project developed a clinical decision support tool including two main 265

components. The image quantification module provides a set of imaging biomarkers from MRI 266

images. The decision support module compares all the patient’s data to data originating from a large 267

number of previously diagnosed patients and evaluates their similarity to those of the different 268

etiologies (AD, FTD, dementia with Lewy bodies, vascular dementia, or cognitively normal 269

individuals) or to patients known to progress to dementia. Approximately 800 patients from four 270

memory clinics (Amsterdam, Copenhagen, Kuopio and Perugia) and from different studies with 271

retrospective data underwent a prospective study usingPredictND. Although statistically significant 272

difference was not observed in diagnostic accuracy, the tool improved the confidence of clinicians in 273

decision making. Multiple studies using PredictND showed that automatically computed imaging 274

biomarkers combined with other data provide valuable information both for differential diagnostics 275

and prediction of disease progression. The project has demonstrated that clinical decision support 276

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systems based on modern machine learning techniques can be useful in helping to interpret patient 277

data in clinical practice.

278

Examples of low-cost tests for decision support in neurodegenerative disease were given by 279

Dr. Mark van Gils from VTT Technical Research Center of Finland. His team has compared the 280

relationship ofMuistikko web-based cognitive test battery, computer games, and gait analysis with 281

standard neuropsychological assessments used in clinical practice. Dr van Gil’s team developed a 282

global cognitive score (GCS) based on age, sex, Mini Mental State Examination (MMSE) test, and 283

different other cognitive tests. Then, they developed regression models to estimate GCS from 284

Muistikko and computer game features. For the gait analysis, time and frequency features from 3D- 285

accelerometry were studied and correspondence analysis with established cognitive measures was 286

performed. The results of the study including over 300 patients from memory clinics in Amsterdam, 287

Copenhagen, Kuopio and Perugia indicated that both Muistikko test and game-based features 288

showed a good correspondence with the GCS, and gait-related features, such as speed, variance 289

and regularity, correlated with different levels of cognitive impairment. The study by Dr. van Gils and 290

colleagues indicated that low-cost measurements, which can be easily done during everyday living, 291

are able to provide valuable information related to cognitive impairment. These kinds of 292

measurements that can be done in informal settings may offer a valuable, low-cost addition to the 293

existing set of tools to support decision making and evaluation of risk of cognitive decline in the 294

management of dementing diseases.

295

The last two talks of the session moved from diagnostic tools to new developments in disease 296

modeling systems. Assist. Prof. Doo Yeon Kim from Massachusetts General Hospital and Harvard 297

Medical School, Charlestown, MA, USA, described novel biological model systems to help in the 298

dissection of molecular disease mechanisms and drug development in AD. His team has recently 299

developed a 3D “Alzheimer’s on a dish” human neural culture model that recapitulates robust AD- 300

like A aggregation and hyperphosphorylated tau NFT accumulation [20]. From the original set up, 301

they have now developed the model further by creating a sophisticated 3D culture model based on 302

the co-culture of human neuronal precursor cells, astrocytes, and microglia in microfluidic devices, 303

allowing them to include the previously missing AD-related neuroinflammatory elements into the 304

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model. This new model system has now been utilized in the dissection pathogenic mechanistic 305

cascades that mediate A -induced tau phosphorylation. Assist. Prof. Kim also described an 306

exploratory high-throughput AD drug screening project using the 3D model. Here, primary screening 307

of a drug library of almost 2500 compounds containing all the US Food and Drug Administration 308

(FDA)-approved drugs was performed. The screening yielded 39 hits that strongly decreased 309

accumulation of insoluble hyperphosphorylated tau with or without affecting A accumulation. The 310

Kim research group has now shown that the 3D human model system recapitulating the key 311

pathological features of AD, A accumulation an NFT formation, can be utilized to screen e.g. - 312

secretase modulators (GSMs), FDA-approved drugs for their repurposing, or testing the potency of 313

hit molecules fromin silico drug screenings in alleviating these pathologies.

314

Prof. Tiago Outeiro from University Medical Center Goettingen, Germany, described cell- 315

based systems to model Parkinson’s disease (PD, [21]) -related -synuclein pathologies. -synuclein 316

is a synaptic protein, which is misfolded and undergoes aggregation in PD brains. Prof. Outeiro’s 317

group uses novel imaging approaches and has developed tissue-clearing and expansion microscopy 318

(ExM) techniques to overcome the detection limit of normal light microscopy. Using these novel 319

imaging approaches, it is possible to achieve 10-12 times better resolution and nanoscale precision 320

of the target cells or tissues. By using these techniques, they have revealed novel interactions of - 321

synuclein. These techniques will be useful in understanding the underlying mechanisms and protein 322

features and interactions that result in protein misfolding and subsequent aggregation in different 323

neurodegenerative diseases characterized by protein aggregation, including PD.

324 325

IV Scientific session - Co-morbidities of neurodegenerative diseases 326

The fourth session was opened by Prof. Wiesje van der Flier, from VU University Medical 327

Center, The Netherlands, who said that the advances in diagnosis of AD using MRI, CSF biomarkers, 328

and PET A -imaging are among the biggest successes in AD research, but often the diagnosis is 329

made only in the late stages of the disease. She underlined that a better and earlier diagnosis would 330

be very beneficial so that the patients could receive help quicker and more effectively. Alzheimer’s 331

biomarkers in daily practice (ABIDE) is a Dutch project, which aims to improve AD diagnosis in 332

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memory clinics by promoting effective application of MRI, CSF biomarker, and PET data for 333

diagnosis of MCI and AD, e.g. by using thePredictND clinical decision support system, and taking 334

into account patients’ perspective and wishes on their use. Focus groups comprising patients, 335

caregivers and professionals provide support for the notion that decisions on diagnostic testing 336

should be made in a setting of shared decision making. Patients and caregivers also stress that they 337

would value more specific information on what the results of the diagnostic tests mean for them. In 338

the ABIDE project, individualized risk models that allow estimation of probabilities of progression 339

from MCI to dementia, taking patients’ characteristics into account, have been developed. The risk 340

models will be integrated in an easy-to-use app, called the ADappt, which aims to improve doctor- 341

patient communication and provide support for the diagnostic conversation. Prof. van der Flier 342

concluded that with the development of new diagnostic tests, we enter an era allowing translation of 343

the scientific findings to daily clinical practice. Thus, tools supporting the diagnostic process may 344

catalyze quicker and more effective diagnosis.

345

Dr. Alina Solomon from the University of Eastern Finland, Kuopio, Finland, talked about the 346

urgent need for developing tools to help to quantify dementia risk and prevention potential in clinical 347

trials. The currently available dementia risk scores can be based on only non-modifiable risk factors, 348

such as age or genetic background, only modifiable risk factors, such as lifestyle-related factors or 349

vascular, metabolic or other manageable comorbidities, or combinations of these. All these different 350

types of risk scores have been previously used in dementia prevention trials testing pharmacological 351

or non-pharmacological interventions with varying results. Thus far, the most successful intervention 352

model has been based on modifiable lifestyle factors. In this model, multidomain interventions 353

targeting real-life multifactorial risk profiles instead of a single risk factor have been carried out. So 354

far, only a few studies have attempted to bridge the gap between prediction and prevention of 355

dementia. Validated prediction tools are essential in both clinical trials and everyday clinical practice 356

to aid identification individuals, who are at risk of developing dementia, and to direct them to the 357

interventions that will be the most beneficial for them. Dr. Solomon concluded that development of 358

prediction tools that can estimate the individual’s dementia risk, but also his or her prevention 359

potential is important.

360

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Different comorbidities of neurodegenerative diseases were also discussed in the session.

361

Profs. Ville Leinonen from Kuopio University Hospital and Oulu University Hospital, Finland, and 362

Etsuro Mori from Osaka University, Japan, described in their presentations the normal pressure 363

hydrocephalus (NPH), a disease which is characterized by enlarged ventricles, gait difficulty and 364

urinary incontinence [22]. A subset of the patients respond well to shunt treatment and their clinical 365

symptoms are relieved. NPH often co-occurs with AD and some NPH patients show molecular 366

comorbid features to AD, such as A pathology in brain. Patients with enlarged ventricles often show 367

cognitive deterioration, but the final specific diagnosis may vary. Some NPH patients may develop 368

other co-occurring neurodegenerative diseases later in life. Prof. Leinonen described that the Kuopio 369

NPH registry contains of more than 900 patients with enlarged ventricles and a diagnosis of possible 370

idiopathic NPH (iNPH). Long-term follow-up indicated that 73% of non-shunted patients with 371

enlarged ventricles, 63% shunted iNPH patients who did not respond to treatment, and 46% iNPH 372

patients who were initially responsive to shunting developed dementia. Based on the registry data, 373

Prof. Leinonen’s team was able to make an estimation of the long-term cognitive outcome of shunted 374

iNPH patients. Approximately 25% of the patients is estimated to remain cognitively intact, 25% to 375

suffer mild cognitive impairment, 20% to have AD dementia, 20% vascular dementia, 10% NPH- 376

related dementia, and occasional cases to have some other neurodegenerative disease. Prof.

377

Leinonen concluded that the fact that dementia, caused by various neurodegenerative diseases, 378

occurred frequently in patients with ventricular enlargement emphasizes the need for a careful and 379

collaborative diagnostic evaluation by neurologists and neurosurgeons. Moreover, the shunted iNPH 380

patients should undergo clinical follow-up to test for shunt patency in the case of cognitive 381

deterioration.

382

Prof. Etsuro Mori corroborated in his talk that the only effective treatment for iNPH is CSF 383

diversion with ventriculo-peritonal (VP) or lumbar subarachnoid space-peritoneal (LP) shunt. He 384

introduced the SINPHONI-2 study, carried out in Japan, which is an RCT comparing shunt and 385

conservative therapy. The SINPHONI-2 study has clearly demonstrated the benefits of LP shunt.

386

However, iNPH patients are often misdiagnosed and inadequately treated. It has been recognized 387

that a characteristic deformity termed disproportionately enlarged subarachnoid space 388

(17)

hydrocephalus (DESH), which is apparent on MRI or computer tomography (CT) scans, is a valuable 389

biomarker for differential diagnosis of iNPH and AD and for predicting the efficacy of shunting. Then 390

again, iNPH and AD often co-occur, and the co-occurring AD may diminish the effect of shunting.

391

Thus, it needs to be evaluated if shunting is beneficial for patients with comorbid AD and iNPH. On 392

the other hand, the efficacy of the shunt therapy may be larger than that of any currently available 393

drugs for treating AD in these patients. Prof. Mori also mentioned that iNPH therapy that may 394

alleviate dementia might give useful cues for developing treatments for AD.

395

One of the important risk factors for AD and dementia, as shown by many epidemiological 396

studies, is T2D [18]. Several studies have provided evidence for insulin resistance in the brains of 397

AD patients, but the common molecular mechanisms linking AD and T2D are still largely unknown.

398

Prof. Mikko Hiltunen from the University of Eastern Finland, Kuopio, Finland, and his team have 399

utilized large population-based cohorts to identify such links. They have used the METabolic 400

Syndrome In Men (METSIM) and the Finnish Geriatric Intervention Study to Prevent Cognitive 401

Impairment and Disability (FINGER) cohorts to correlate AD-associated genetic factors to 402

parameters related to cardiovascular health and metabolism. It has previously been shown that 403

carriers of theA673T variant of amyloid precursor protein geneAPP scored better in cognitive tests 404

and displayed less age-related cognitive decline over time, suggesting that this genetic variation is 405

protective against AD [23]. Prof. Hiltunen and his team identified carriers of theAPP-A673T variant 406

from the METSIM cohort and showed that they had 30% lower levels of A 40 and A 42 in the plasma 407

as compared to the controls. The mechanism explaining the decreased levels of A in theA673T 408

variant carriers is that it makes APP a less favorable substrate for BACE1, leading to reduced BACE1 409

cleavage of APP and subsequently decreased A production. The APP-A673T variant carriers did 410

not show any adverse changes in the metabolic or cardiovascular parameters, which is encouraging 411

from the point of view of designing A -reducing therapies, such as BACE1 inhibition, against AD.

412

Using the METSIM and FINGER cohorts, the Hiltunen team moved on to assess peripheral effects 413

of APOE 4 and found a strong association with decreased levels of plasma high-sensitivity C- 414

reactive protein (hs-CRP). Also, reduced hs-CRP and plasma A 42 levels showed an association 415

independently of the APOE status, suggesting that A might possess anti-inflammatory effects as 416

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suggested by some previous studies. Finally, to interrogate the mechanistic link between AD and 417

insulin signaling, Prof. Hiltunen and his group used transgenic APP/PS1 AD model mice and their 418

wild-type littermates that underwent intranasal insulin treatment. The intranasal insulin administration 419

was found to specifically activate signaling of Akt2, a protein kinase, which belongs to the PI3K/Akt 420

pathway downstream of the insulin receptor, in the hippocampus of wild-type mice, but not in 421

APP/PS1 mice, suggesting that brain insulin signaling may be compromised in AD. Altogether, the 422

data from Prof. Hiltunen and colleagues suggest that large population-based cohorts are suitable for 423

assessing the cardiovascular and metabolic effects of AD-associated genetic variants and 424

emphasize the disadvantageous link between AD-associated genetic components and insulin 425

signaling in the brain.

426 427

V Scientific session - Prevention and therapies of neurodegenerative diseases 428

The topic of the last session of the symposium dealt with the latest advances in prevention 429

studies and therapies of neurodegenerative diseases and dementia. Prof. Miia Kivipelto from 430

Karolinska Institute, Stockholm, Sweden and University of Eastern Finland, Kuopio, Finland, 431

discussed about multidomain interventions to prevent dementia. Mounting evidence indicates that 432

multidomain lifestyle interventions, which simultaneously target several risk factors and 433

mechanisms, possess large potential to prevent or postpone late-life cognitive impairment and 434

dementia. The FINGER study is the first large trial indicating that a multidomain lifestyle intervention 435

can prevent cognitive impairment in the elderly [24] and it represents a pragmatic model for dementia 436

prevention. In another ongoing project,Multimodal preventive trials for Alzheimer Disease: towards 437

multinational strategies (MIND-AD), the FINGER intervention model is tested in patients who have 438

prodromal AD and lifestyle or vascular risk factors. Furthermore, prompted by the positive results of 439

the FINGER study, similar studies have been started in different populations and settings in Europe, 440

USA, China, Singapore, and Australia. To promote synergy across these trials and optimize the 441

efforts towards dementia prevention, the World-Wide FINGERS Initiative (WW-FINGERS) was 442

recently launched. WW-FINGERS is an interdisciplinary network aiming at sharing experiences and 443

data and planning joint initiatives focusing on dementia prevention. It is expected that WW-FINGERS 444

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will facilitate synergistic use of data from different countries and enable rapid implementation of 445

knowledge and definition of effective and feasible prevention programs for diverse populations 446

globally.

447

Prof. Ingmar Skoog from the University of Gothenburg, Sweden, discussed the implications of 448

prevention and treatment related to preclinical AD. Previous studies suggest that midlife vascular 449

risk factors, such as high blood pressure and/or cholesterol, T2D, atrial fibrillation and myocardial 450

infarction, and lifestyle-related factors, including leisure intellectual and physical activities, 451

cardiovascular fitness, and dietary habits, influence the risk of late-life AD. Also, proneness to stress, 452

number of adverse life events, neurotic personality, and lower education at midlife increase the risk 453

of AD later in life. Although several longitudinal population-based studies have reported that midlife 454

high blood pressure and body mass index (BMI) are linked to AD, these start to decline 5-10 years 455

before disease onset, possibly because of AD-related brain changes that may influence the 456

regulation of blood pressure. These changes in the brain are present more than two decades before 457

the clinical onset of the disease as shown by brain imaging and neurochemical studies. This idea is 458

supported by the findings that 23% of cognitively normal 70-year-olds showed pathological A 42 459

levels, 33% pathological tau and 10% pathological phospho-tau levels in the CSF. In total, 46% these 460

cognitively normal individuals displayed at least one pathological CSF AD marker. Prof. Skoog 461

emphasized that, based on these findings, the association between AD biomarkers and risk factors 462

needs to be clarified. This information can then be used to evaluate when the suitable prevention 463

measures and treatment need to be initiated.

464

Prof. Christopher Chen from the National University of Singapore presented Asian 465

perspectives for the prevention and therapy of neurodegenerative diseases. He referred to a recent 466

report from the Lancet Commission on Dementia Prevention, Intervention and Care [25], which listed 467

nine potentially modifiable risk factors for dementia and calculated for them a weighted population 468

attributable fraction (PAF), an estimate of the proportion of cases of dementia that could be avoided 469

if exposure to individual risk factors were eliminated, supporting the idea of launching multidomain 470

lifestyle interventions globally. Prof. Chen introduced a pilotSINgapore GERiatric intervention study 471

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to reduce physical frailty and cognitive decline(SINGER) as part of the WW-FINGERS initiative. The 472

SINGER study was designed to establish the most appropriate multidomain lifestyle interventions 473

for Singaporean seniors, optimize recruitment procedures, and provide a strong basis for a proposed 474

two-year RCT. He also introduced novel Asian therapeutic approaches to AD, including traditional 475

Chinese medicines. For example, the ongoing Alzheimer’s disease THErapy with NEuroaid 476

(ATHENE) study, which is a randomized, double-blind and placebo-controlled trial, assesses the 477

safety and efficacy of Neuroaid II, a natural product combining several active ingredients including 478

herbal extracts, in patients with mild to moderate AD stable on acetylcholinesterase inhibitors 479

(AChEI) or memantine. Studies in cellular and animal models of brain injury have indicated that 480

Neuroaid II has neuroprotective and neuroproliferative properties and may modulate APP processing 481

and tau hyperphosphorylation. Moreover, it has shown beneficial effects on cognitive function in AD 482

patients with better tolerability and safety profile than standard AChEIs.

483

Dr. Tiia Ngandu from National Institute for Health and Welfare (THL), Finland, talked about 484

adherence to multidomain preventive interventions and shared experiences from real-life 485

implementation of these interventions. She said that multimodal lifestyle interventions can be 486

demanding for the participants. However, the participants must adequately adhere to the trial 487

protocol in order to achieve lifestyle changes that will provide cognitive benefit. Currently, there is 488

no golden standard for defining good or poor adherence to the intervention and not much is known 489

about the adherence to non-pharmacological interventions. In practice, adherence and intervention 490

outcome likely show a dose-response relation. Recent results from European lifestyle trials have 491

identified potential determinants of adherence to the interventions and characteristics of the 492

intervention and the participant may influence adherence. The positive results of the lifestyle 493

intervention trials in dementia prevention now call for actions to implement the prevention activities 494

into real-life settings. Dr. Ngandu mentioned that here, identification of target groups for the 495

interventions, identification of the facilitators and obstacles for achieving and maintaining healthy 496

lifestyle changes, and close collaboration with the key stakeholders responsible for the 497

implementation activities are essential.

498

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Prof. Nenad Bogdanovic from Karolinska University Hospital, Stockholm, Sweden, discussed 499

about therapeutic strategies against AD, which would be much needed for the treatment of patients 500

with AD and other neurodegenerative diseases. The currently approved drugs in the clinical use for 501

mild-to-severe AD or moderately severe-to-severe AD are the AChEIs donepezil, galantamine, and 502

rivastigmine, and the N-methyl-D-aspartate (NMDA) receptor antagonist memantine. Prof.

503

Bogdanovic summarized that the current drug studies have largely depended on the amyloid 504

cascade hypothesis targeting A , but also tau and small molecules are being investigated. The 505

diagnostic groups in the drug trials comprise patients at different phases of the disease, including at- 506

risk populations (in prevention studies) and preclinical or pre-symptomatic AD, prodromal AD, or 507

mild-to-moderate AD. In these studies, the amyloid pathway is targeted using vaccination and 508

antibodies against A or and inhibitors or modulators of -secretase and -secretase. Prof.

509

Bogdanovic mentioned that even though the link between A deposition and tau pathology remains 510

elusive, the downregulation of tau-related toxicity might provide clinical benefit. It is widely 511

acknowledged that a large problem in developing drugs against AD is the multifactorial nature of 512

dementia and the fact that the elderly individuals often have other comorbidities, including concurrent 513

vascular dementia and different types of neurodegenerative lesions. As the successful treatment 514

against AD is still waiting to be discovered, Prof. Bogdanovic said that meanwhile the current 515

treatment options could be improved by e.g. individualization and adjustment of current AChEI- 516

related therapy to age, gender andAPOE genotype.

517

Prof. Anders Wimo from Karolinska Institute, Stockholm, Sweden, concluded the symposium 518

by discussing health economic aspects of dementia prevention. The significantly positive results of 519

the FINGER multidomain lifestyle intervention study related to cognition and function in the elderly 520

have generated hope that such prevention programs would be able to impact the future numbers of 521

people with dementia. However, the long-term effects or long-term cost effectiveness of these 522

studies are still unknown. Prof. Wimo’s team has used the FINGER study to perform health economic 523

simulation with a comprehensive sensitivity analysis. They also compared prevention simulations 524

and the simulations for potential cost effectiveness of hypothetical disease-modifying treatments for 525

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AD. In these studies, they have identified the number needed to treat (NNT) in a prevention program 526

like FINGER and its related costs to avoid one case of dementia, as well as the incremental cost- 527

effectiveness ratio with QALYs (quality adjusted life years) as the outcome. In all the simulations, 528

the prevention was proven cost-effective, implicating that primary dementia prevention is potentially 529

cost-saving or cost-effective. These results suggest that dementia prevention programs may be able 530

to affect the number of people suffering from dementia and be economically beneficial in the future.

531

In summary, the 8th Kuopio Alzheimer symposium provided a comprehensive overview of the 532

latest advances and future directions of the research into AD and other neurodegenerative diseases.

533

The program comprised oral and poster presentations related to the molecular and cellular 534

mechanisms of neurodegeneration, novel, sophisticated model systems and their translational 535

potential, identification of new predictive and diagnostic biomarker candidates, new technologies and 536

tools for decision support, insights into comorbidities with other diseases, and global efforts in the 537

prevention and treatment of AD and other neurodegenerative diseases. This research altogether 538

aims at better understanding of the mechanisms of neurodegeneration and at developing efficacious 539

methods for early identification, diagnosis, and treatment of patients with neurodegenerative 540

diseases or even identification of individuals at increased risk of dementia for prevention and 541

therapeutic studies. Ultimately, the knowledge gained from these studies is expected to lead to the 542

discovery of optimal, timely, and individualized prevention and treatment options to help 543

management of neurodegenerative diseases worldwide.

544

The program and abstracts of the 8th Kuopio Alzheimer symposium can be found at the 545

symposium website [26].

546

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3. Winblad B, Amouyel P, Andrieu S et al.: Defeating Alzheimer's disease and other dementias: a 550

priority for European science and society. Lancet Neurol. 15(5), 455-532 (2016).

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4. Cummings J, Lee G, Ritter A, Zhong K: Alzheimer's disease drug development pipeline: 2018.

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Alzheimers Dement. (N. Y) 4, 195-214 (2018).

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5. Gordon BA, Blazey TM, Su Y et al.: Spatial patterns of neuroimaging biomarker change in 554

individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study. Lancet 555

Neurol. 17(3), 241-250 (2018).

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6. Liu CC, Liu CC, Kanekiyo T, Xu H, Bu G: Apolipoprotein E and Alzheimer disease: risk, 557

mechanisms and therapy. Nat. Rev. Neurol. 9(2), 106-118 (2013).

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7. Ross CA, Poirier MA: Protein aggregation and neurodegenerative disease. Nat. Med. 10 Suppl, 559

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8. Jessen NA, Munk AS, Lundgaard I, Nedergaard M: The Glymphatic System: A Beginner's Guide.

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Neurochem. Res. 40(12), 2583-2599 (2015).

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9. Preza E, Hardy J, Warner T, Wray S: Review: Induced pluripotent stem cell models of 563

frontotemporal dementia. Neuropathol. Appl. Neurobiol. 42(6), 497-520 (2016).

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10. Lee S, Huang EJ: Modeling ALS and FTD with iPSC-derived neurons. Brain Res. 1656, 88-97 565

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11. Israel MA, Yuan SH, Bardy C et al.: Probing sporadic and familial Alzheimer's disease using 567

induced pluripotent stem cells. Nature 482(7384), 216-220 (2012).

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12. Holmqvist S, Lehtonen S, Chumarina M et al.: Creation of a library of induced pluripotent stem 569

cells from Parkinsonian patients. npj Parkinson's Disease 2(16009) (2016).

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13. DeJesus-Hernandez M, Mackenzie IR, Boeve BF et al.: Expanded GGGGCC hexanucleotide 571

repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron 72(2), 572

245-256 (2011).

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cause of chromosome 9p21-linked ALS-FTD. Neuron 72(2), 257-268 (2011).

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15. Rohrer JD, Nicholas JM, Cash DM et al.: Presymptomatic cognitive and neuroanatomical 576

changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative 577

(GENFI) study: a cross-sectional analysis. Lancet Neurol. 14(3), 253-262 (2015).

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16. Lehmer C, Oeckl P, Weishaupt JH et al.: Poly-GP in cerebrospinal fluid links C9orf72-associated 579

dipeptide repeat expression to the asymptomatic phase of ALS/FTD. EMBO Mol. Med. 9(7), 859- 580

868 (2017).

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17. Gao YL, Wang N, Sun FR, Cao XP, Zhang W, Yu JT: Tau in neurodegenerative disease. Ann.

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Transl. Med. 6(10), 175 (2018).

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18. Vieira MNN, Lima-Filho RAS, De Felice FG: Connecting Alzheimer's disease to diabetes:

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Underlying mechanisms and potential therapeutic targets. Neuropharmacology (2017).

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Alzheimer's disease. Nature 515(7526), 274-278 (2014).

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21. Kalia LV, Lang AE: Parkinson's disease. Lancet 386(9996), 896-912 (2015).

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22. Leinonen V, Vanninen R, Rauramaa T: Cerebrospinal fluid circulation and hydrocephalus.

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Handb. Clin. Neurol. 145, 39-50 (2017).

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23. Jonsson T, Atwal JK, Steinberg S et al.: A mutation in APP protects against Alzheimer's disease 593

and age-related cognitive decline. Nature 488(7409), 96-99 (2012).

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24. Ngandu T, Lehtisalo J, Solomon A et al.: A 2 year multidomain intervention of diet, exercise, 595

cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk 596

elderly people (FINGER): a randomised controlled trial. Lancet 385(9984), 2255-2263 (2015).

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26. Program and abstracts of the 8th Kuopio Alzheimer symposium:

600

http://www.uef.fi/documents/250078/302440/2018+-+8th+Kuopio+Alzheimer+Symposium+- 601

+Abstract+book.pdf/0455c9c1-45ac-409d-b137-7d7f68672555.

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