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Showing papers by "Rik Vandenberghe published in 2021"


Journal ArticleDOI
TL;DR: In this article, a large genetic association study was performed by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190).
Abstract: Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.

97 citations


Journal ArticleDOI
04 Jan 2021
TL;DR: In this paper, the authors investigated behavioral symptom frequency and severity and their evolution and progression in different forms of genetic frontotemporal dementia (FTD) using a longitudinal cohort study.
Abstract: Importance Behavioral disturbances are core features of frontotemporal dementia (FTD); however, symptom progression across the course of disease is not well characterized in genetic FTD. Objective To investigate behavioral symptom frequency and severity and their evolution and progression in different forms of genetic FTD. Design, Setting, and Participants This longitudinal cohort study, the international Genetic FTD Initiative (GENFI), was conducted from January 30, 2012, to May 31, 2019, at 23 multicenter specialist tertiary FTD research clinics in the United Kingdom, the Netherlands, Belgium, France, Spain, Portugal, Italy, Germany, Sweden, Finland, and Canada. Participants included a consecutive sample of 232 symptomatic FTD gene variation carriers comprising 115 with variations inC9orf72, 78 inGRN, and 39 inMAPT. A total of 101 carriers had at least 1 follow-up evaluation (for a total of 400 assessments). Gene variations were included only if considered pathogenetic. Main Outcomes and Measures Behavioral and neuropsychiatric symptoms were assessed across disease duration and evaluated from symptom onset. Hierarchical generalized linear mixed models were used to model behavioral and neuropsychiatric measures as a function of disease duration and variation. Results Of 232 patients with FTD, 115 (49.6%) had aC9orf72expansion (median [interquartile range (IQR)] age at evaluation, 64.3 [57.5-69.7] years; 72 men [62.6%]; 115 White patients [100%]), 78 (33.6%) had aGRNvariant (median [IQR] age, 63.4 [58.3-68.8] years; 40 women [51.3%]; 77 White patients [98.7%]), and 39 (16.8%) had aMAPTvariant (median [IQR] age, 56.3 [49.9-62.4] years; 25 men [64.1%]; 37 White patients [94.9%]). All core behavioral symptoms, including disinhibition, apathy, loss of empathy, perseverative behavior, and hyperorality, were highly expressed in all gene variant carriers (>50% patients), with apathy being one of the most common and severe symptoms throughout the disease course (51.7%-100% of patients). Patients withMAPTvariants showed the highest frequency and severity of most behavioral symptoms, particularly disinhibition (79.3%-100% of patients) and compulsive behavior (64.3%-100% of patients), compared withC9orf72carriers (51.7%-95.8% of patients with disinhibition and 34.5%-75.0% with compulsive behavior) andGRNcarriers (38.2%-100% with disinhibition and 20.6%-100% with compulsive behavior). Alongside behavioral symptoms, neuropsychiatric symptoms were very frequently reported in patients with genetic FTD: anxiety and depression were most common inGRNcarriers (23.8%-100% of patients) andMAPTcarriers (26.1%-77.8% of patients); hallucinations, particularly auditory and visual, were most common inC9orf72carriers (10.3%-54.5% of patients). Most behavioral and neuropsychiatric symptoms increased in the early-intermediate phases and plateaued in the late stages of disease, except for depression, which steadily declined inC9orf72carriers, and depression and anxiety, which surged only in the late stages inGRNcarriers. Conclusions and Relevance This cohort study suggests that behavioral and neuropsychiatric disturbances differ between the common FTD gene variants and have different trajectories throughout the course of disease. These findings have crucial implications for counseling patients and caregivers and for the design of disease-modifying treatment trials in genetic FTD.

33 citations


Journal ArticleDOI
TL;DR: The presymptomatic phase of neurodegenerative disease can last many years, with sustained cognitive function despite progressive atrophy, in familial frontotemporal dementia (FTD).
Abstract: Introduction The presymptomatic phase of neurodegenerative disease can last many years, with sustained cognitive function despite progressive atrophy. We investigate this phenomenon in familial frontotemporal dementia (FTD). Methods We studied 121 presymptomatic FTD mutation carriers and 134 family members without mutations, using multivariate data-driven approach to link cognitive performance with both structural and functional magnetic resonance imaging. Atrophy and brain network connectivity were compared between groups, in relation to the time from expected symptom onset. Results There were group differences in brain structure and function, in the absence of differences in cognitive performance. Specifically, we identified behaviorally relevant structural and functional network differences. Structure-function relationships were similar in both groups, but coupling between functional connectivity and cognition was stronger for carriers than for non-carriers, and increased with proximity to the expected onset of disease. Discussion Our findings suggest that the maintenance of functional network connectivity enables carriers to maintain cognitive performance.

32 citations


Journal ArticleDOI
TL;DR: It is tested whether apathy develops in presymptomatic genetic FTD, and is associated with cognitive decline and brain atrophy, and how this affects prognosis and survival of patients with frontotemporal dementia.
Abstract: Introduction: Apathy adversely affects prognosis and survival of patients with frontotemporal dementia (FTD). We test whether apathy develops in presymptomatic genetic FTD, and is associated with cognitive decline and brain atrophy. Methods: Presymptomatic carriers of MAPT, GRN or C9orf72 mutations (N = 304), and relatives without mutations (N = 296) underwent clinical assessments and MRI at baseline, and annually for 2 years. Longitudinal changes in apathy, cognition, gray matter volumes, and their relationships were analyzed with latent growth curve modeling. Results: Apathy severity increased over time in presymptomatic carriers, but not in non-carriers. In presymptomatic carriers, baseline apathy predicted cognitive decline over two years, but not vice versa. Apathy progression was associated with baseline low gray matter volume in frontal and cingulate regions. Discussion: Apathy is an early marker of FTD-related changes and predicts a subsequent subclinical deterioration of cognition before dementia onset. Apathy may be a modifiable factor in those at risk of FTD.

28 citations


Journal ArticleDOI
TL;DR: In this article, the distribution of tau species phosphorylated at T231, S396/S404 and S202/T205, conformationally modified at the MC1 epitope and fibrillary tau detected by the Gallyas method (Gallyas-tau), in the brains of 15 symptomatic and 20 asymptomatic cases with AD pathology as well as of 19 non-AD cases.
Abstract: In Alzheimer’s disease (AD), tau-protein undergoes a multi-step process involving the transition from a natively unfolded monomer to large, aggregated structures such as neurofibrillary tangles (NFTs). However, it is not yet clear which events initiate the early preclinical phase of AD tauopathy and whether they have impact on the propagation of tau pathology in later disease stages. To address this question, we analyzed the distribution of tau species phosphorylated at T231, S396/S404 and S202/T205, conformationally modified at the MC1 epitope and fibrillary tau detected by the Gallyas method (Gallyas-tau), in the brains of 15 symptomatic and 20 asymptomatic cases with AD pathology as well as of 19 nonAD cases. As initial tau lesions, we identified phosphorylated-T231-tau diffusely distributed within the somatodendritic compartment (IC-tau) and phosphorylated-S396/pS404-tau in axonal lesions of the white matter and in the neuropil (IN-tau). The subcellular localization of pT231-tau in the cell body and pS396/pS404-tau in the presynapse was confirmed in hP301L mutant Drosophila larvae. Phosphorylated-S202/T205-tau, MC1-tau and Gallyas-tau were negative for these lesions. IC- and IN-tau were observed in all analyzed regions of the human brain, including early affected regions in nonAD cases (entorhinal cortex) and late affected regions in symptomatic AD cases (cerebellum), indicating that tau pathology initiation follows similar processes when propagating into previously unaffected regions. Furthermore, a sequence of AD-related maturation of tau-aggregates was observed, initiated by the appearance of IC- and IN-tau, followed by the formation of pretangles exhibiting pT231-tau, pS396/pS404-tau and pS202/pT205-tau, then by MC1-conformational tau, and, finally, by the formation of Gallyas-positive NFTs. Since cases classified as nonAD [Braak NFT stages < I (including a-1b)] already showed IC- and IN-tau, our findings suggest that these lesions are a prerequisite for the development of AD.

28 citations


Journal ArticleDOI
TL;DR: In this article, the extent of subcortical involvement, particularly within subregions, and how this differs between genetic groups were investigated using parcellation methods on volumetric 3-T-T1-weighted MRI scans.

27 citations


Journal ArticleDOI
TL;DR: Using only 18F-FDG PET of the brain, a 3D deep learning model could predict the final diagnosis of the most common neurodegenerative disorders which achieved a competitive performance compared to the human readers as well as their consensus.
Abstract: The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimer’s disease (MCI-AD), and cognitively normal (CN) using fluorine 18 fluorodeoxyglucose PET (18F-FDG PET) and compare model’s performance to that of multiple expert nuclear medicine physicians’ readers. Retrospective 18F-FDG PET scans for AD, MCI-AD, and CN were collected from Alzheimer’s disease neuroimaging initiative (556 patients from 2005 to 2020), and CN and DLB cases were from European DLB Consortium (201 patients from 2005 to 2018). The introduced 3D convolutional neural network was trained using 90% of the data and externally tested using 10% as well as comparison to human readers on the same independent test set. The model’s performance was analyzed with sensitivity, specificity, precision, F1 score, receiver operating characteristic (ROC). The regional metabolic changes driving classification were visualized using uniform manifold approximation and projection (UMAP) and network attention. The proposed model achieved area under the ROC curve of 96.2% (95% confidence interval: 90.6–100) on predicting the final diagnosis of DLB in the independent test set, 96.4% (92.7–100) in AD, 71.4% (51.6–91.2) in MCI-AD, and 94.7% (90–99.5) in CN, which in ROC space outperformed human readers performance. The network attention depicted the posterior cingulate cortex is important for each neurodegenerative disease, and the UMAP visualization of the extracted features by the proposed model demonstrates the reality of development of the given disorders. Using only 18F-FDG PET of the brain, a 3D deep learning model could predict the final diagnosis of the most common neurodegenerative disorders which achieved a competitive performance compared to the human readers as well as their consensus.

27 citations


Journal ArticleDOI
TL;DR: In this article, the concentrations of plasma phosphorylated tau (p-tau) and evaluate their associations with cognitive decline in individuals with probable dementia with Lewy bodies (DLB).
Abstract: Importance Plasma phosphorylated tau (p-tau) has proven to be an accurate biomarker for Alzheimer disease (AD) pathologic characteristics, offering a less expensive and less invasive alternative to cerebrospinal fluid (CSF) and positron emission tomography biomarkers for amyloid-β and tau. Alzheimer disease comorbid pathologic characteristics are common and are associated with more rapid cognitive decline in patients with dementia with Lewy bodies (DLB); therefore, it is anticipated that plasma p-tau concentrations may have utility in assessing cognitive impairment in individuals with this disorder. Objective To measure the concentrations of plasma p-tau (p-tau181 and p-tau231) and evaluate their associations with cognitive decline in individuals with probable DLB. Design, Setting, and Participants This multicenter longitudinal cohort study included participants from the European-DLB (E-DLB) Consortium cohort enrolled at 10 centers with harmonized diagnostic procedures from January 1, 2002, to December 31, 2020, with up to 5 years of follow-up. A total of 1122 participants with plasma samples were available. Participants with acute delirium or terminal illness and patients with other previous major psychiatric or neurologic disorders were excluded, leaving a cohort of 987 clinically diagnosed participants with probable DLB (n = 371), Parkinson disease (n = 204), AD (n = 207), as well as healthy controls (HCs) (n = 205). Main Outcomes and Measures The main outcome was plasma p-tau181 and p-tau231 levels measured with in-house single molecule array assays. The Mini-Mental State Examination (MMSE) was used to measure cognition. Results Among this cohort of 987 patients (512 men [51.9%]; mean [SD] age, 70.0 [8.8] years), patients with DLB did not differ significantly regarding age, sex, or years of education from those in the AD group, but the DLB group was older than the HC group and included more men than the AD and HC groups. Baseline concentrations of plasma p-tau181 and p-tau231 in patients with DLB were significantly higher than those in the HC group but lower than in the AD group and similar to the Parkinson disease group. Higher plasma concentrations of both p-tau markers were found in a subgroup of patients with DLB with abnormal CSF amyloid-β42 levels compared with those with normal levels (difference in the groups in p-tau181, −3.61 pg/mL; 95% CI, −5.43 to −1.79 pg/mL;P = .049; difference in the groups in p-tau231, −2.51 pg/mL; 95% CI, −3.63 to −1.39 pg/mL;P = .02). There was no difference between p-tau181 level and p-tau231 level across confirmed AD pathologic characteristcs based on reduced Aβ42 level in CSF in individuals with DLB. In DLB, a significant association was found between higher plasma p-tau181 and p-tau231 levels and lower MMSE scores at baseline (for p-tau181, −0.092 MMSE points; 95% CI, −0.12 to −0.06 MMSE points;P = .001; for p-tau231, −0.16 MMSE points; 95% CI, −0.21 to −0.12 MMSE points;P Conclusions and Relevance This study suggests that plasma p-tau181 and p-tau231 levels may be used as cost-effective and accessible biomarkers to assess cognitive decline in individuals with DLB.

22 citations


Journal ArticleDOI
TL;DR: In this article, the prognostic value of a cerebrospinal fluid (CSF)-based ATN classification for subsequent cognitive decline during the 3-years following lumbar puncture in a clinical, real-life setting was investigated.
Abstract: The primary study objective of this retrospective academic memory clinic-based observational longitudinal study was to investigate the prognostic value of a cerebrospinal fluid (CSF)-based ATN classification for subsequent cognitive decline during the 3 years following lumbar puncture in a clinical, real-life setting. The secondary objective was to investigate the prognostic value of CSF biomarkers as continuous variables. Data from 228 patients (median age 67 (47–85) years), who presented at the Neurology Memory Clinic UZ/KU Leuven between September 2011 and December 2016, were included with a follow-up period of up to 36 months. Patients underwent a CSF AD biomarker test for amyloid-beta 1–42 (Aβ42), hyperphosphorylated tau (p181-tau) and total tau (t-tau) in the clinical work-up for diagnostic reasons. Patients were divided into ATN classes based on CSF biomarkers: Aβ42 for amyloid (A), p181-tau for tau (T), and t-tau as a measure for neurodegeneration (N). Based on retrospective data analysis, cognitive performance was evaluated by Mini Mental State Examination (MMSE) scores every 6 months over a period up to 36 months following the lumbar puncture. The statistical analysis was based on linear mixed-effects modeling (LME). The distribution in the current clinical sample was as follows: A−/T−/N− 32.02%, A+/T−/N− 33.33%, A+/T+/N+ 17.11%, A+/T−/N+ 11.84%, A−/T−/N+ 4.39%, A−/T+/N+ 1.32% (3 cases), with no cases in the A−/T+/N− and A+/T+/N− class. Hence, the latter 3 classes were excluded from further analyses. The change of MMSE relative to A−/T−/N− over a 36-month period was significant in all four ATN classes: A+/T+/N+ = − 4.78 points on the MMSE; A−/T−/N+ = − 4.76; A+/T−/N+ = − 2.83; A+/T−/N− = − 1.96. The earliest significant difference was seen in the A+/T+/N+ class at 12 months after baseline. The effect of ATN class on future cognitive decline was confirmed for a different set of CSF thresholds. All individual baseline CSF biomarkers including the Aβ42/t-tau ratio showed a significant correlation with subsequent cognitive decline, with the highest correlation seen for Aβ42/t-tau. ATN classification based on CSF biomarkers has a statistically significant and clinically relevant prognostic value for the course of cognitive decline in a 3-year period in a clinical practice setting.

20 citations


Journal ArticleDOI
TL;DR: Combinations of rare recessive compound heterozygous missense mutations reduce VPS13C expression and contribute to increased risk of LBD, comparable to the recessive inherited PTC mutations in V PS13C.
Abstract: Dementia with Lewy bodies (DLB) and Parkinson’s disease (PD) are clinically, pathologically and etiologically disorders embedded in the Lewy body disease (LBD) continuum, characterized by neuronal α-synuclein pathology Rare homozygous and compound heterozygous premature termination codon (PTC) mutations in the Vacuolar Protein Sorting 13 homolog C gene (VPS13C) are associated with early-onset recessive PD We observed in two siblings with early-onset age (< 45) and autopsy confirmed DLB, compound heterozygous missense mutations in VPS13C, pTrp395Cys and pAla444Pro, inherited from their healthy parents in a recessive manner In lymphoblast cells of the index patient, the missense mutations reduced VPS13C expression by 90% (p = 00002) Subsequent, we performed targeted resequencing of VPS13C in 844 LBD patients and 664 control persons Using the optimized sequence kernel association test, we obtained a significant association (p = 00233) of rare VPS13C genetic variants (minor allele frequency ≤ 1%) with LBD Among the LBD patients, we identified one patient with homozygous missense mutations and three with compound heterozygous missense mutations in trans position, indicative for recessive inheritance In four patients with compound heterozygous mutations, we were unable to determine trans position The frequency of LBD patient carriers of proven recessive compound heterozygous missense mutations is 059% (5/844) In autopsy brain tissue of two unrelated LBD patients, the recessive compound heterozygous missense mutations reduced VPS13C expression Overexpressing of wild type or mutant VPS13C in HeLa or SH-SY5Y cells, demonstrated that the mutations pTrp395Cys or pAla444Pro, abolish the endosomal/lysosomal localization of VPS13C Overall, our data indicate that rare missense mutations in VPS13C are associated with LBD and recessive compound heterozygous missense mutations might have variable effects on the expression and functioning of VPS13C We conclude that comparable to the recessive inherited PTC mutations in VPS13C, combinations of rare recessive compound heterozygous missense mutations reduce VPS13C expression and contribute to increased risk of LBD

20 citations


Journal ArticleDOI
TL;DR: In this paper, the relative weight of cognitive, genetic, structural and amyloid brain imaging variables for predicting cognitive change over a 4-year time course was examined in cognitively intact older adults.
Abstract: We examined in cognitively intact older adults the relative weight of cognitive, genetic, structural and amyloid brain imaging variables for predicting cognitive change over a 4-year time course. One hundred-eighty community-recruited cognitively intact older adults (mean age 68 years, range 52–80 years, 81 women) belonging to the Flemish Prevent Alzheimer’s Disease Cohort KU Leuven (F-PACK) longitudinal observational cohort underwent a baseline evaluation consisting of detailed cognitive assessment, structural MRI and 18F-flutemetamol PET. At inclusion, subjects were stratified based on Apolipoprotein E (APOE) e4 and Brain-Derived Neurotrophic Factor (BDNF) val66met polymorphism according to a factorial design. At inclusion, 15% were amyloid-PET positive (Centiloid >23.4). All subjects underwent 2-yearly follow-up of cognitive performance for a 4-year time period. Baseline cognitive scores were analysed using factor analysis. The slope of cognitive change over time was modelled using latent growth curve analysis. Using correlation analysis, hierarchical regression and mediation analysis, we examined the effect of demographic (age, sex, education) and genetic variables, baseline cognition, MRI volumetric (both voxelwise and region-based) as well as amyloid imaging measures on the longitudinal slope of cognitive change. A base model of age and sex explained 18.5% of variance in episodic memory decline. This increased to 41.6% by adding baseline episodic memory scores. Adding amyloid load or volumetric measures explained only a negligible additional amount of variance (increase to 42.2%). A mediation analysis indicated that the effect of age on episodic memory scores was partly direct and partly mediated via hippocampal volume. Amyloid load did not play a significant role as mediator between age, hippocampal volume and episodic memory decline. In cognitively intact older adults, the strongest baseline predictor of subsequent episodic memory decline was the baseline episodic memory score. When this score was included, only very limited explanatory power was added by brain volume or amyloid load measures. The data warn against classifications that are purely biomarker-based and highlight the value of baseline cognitive performance levels in predictive models.

Journal ArticleDOI
TL;DR: The European Reference Network for Rare Neurological Diseases (ERN-RND) as discussed by the authors provides an infrastructure for knowledge sharing and care coordination for patients affected by a rare neurological disease involving the most common central nervous system pathological conditions.
Abstract: While rare diseases (RDs) are by definition of low prevalence, the total number of patients suffering from an RD is high, and the majority of them have neurologic manifestations, involving central, peripheral nerve, and muscle. In 2017, 24 European Reference Networks (ERNs), each focusing on a specific group of rare or low-prevalence complex diseases, were formed to improve the care for patients with an RD. One major aim is to have "the knowledge travel instead of the patient," which has been put into practice by the implementation of the Clinical Patient Management System (CPMS) that enables clinicians to perform pan-European virtual consultations. The European Reference Network for Rare Neurological Diseases (ERN-RND) provides an infrastructure for knowledge sharing and care coordination for patients affected by a rare neurological disease (RND) involving the most common central nervous system pathological conditions. It covers the following disease groups: (i) Cerebellar Ataxias and Hereditary Spastic Paraplegias; (ii) Huntington's disease and Other Choreas; (iii) Frontotemporal dementia; (iv) Dystonia, (non-epileptic) paroxysmal disorders, and Neurodegeneration with Brain Iron Accumulation; (v) Leukoencephalopathies; and (vi) Atypical Parkinsonian Syndromes. At the moment, it unites 32 expert centers and 10 affiliated partners in 21 European countries, as well as patient representatives, but will soon cover nearly all countries of the European Union as a result of the ongoing expansion process. Disease expert groups developed and consented on diagnostic flowcharts and disease scales to assess the different aspects of RNDs. ERN-RND has started to discuss diagnostically unclear patients in the CPMS, is one of four ERNs that serve as foundation of Solve-RD, and has established an RND training and education program. The network will facilitate trial readiness through the establishment of an ERN-RND registry with a minimal data of all patients seen at the ERN-RND centers, thus providing a unique overview of existing genotype-based cohorts. The overall aim of the ERNs is to improve access for patients with RDs to quality diagnosis, care, and treatment. Based on this objective, ERNs are monitored by the European Commission on a regular basis to provide transparency and reassurance to the RD community and the general public.

Journal ArticleDOI
TL;DR: Whether GVD in cases of the ALS‐FTLD‐TDP spectrum (ALS/FTLD) shows a similar involvement of the necrosome as in AD, and whether it correlates with diagnosis, presence of protein aggregates and cell death in ALS/ FTLD is investigated.
Abstract: Aim Granulovacuolar degeneration (GVD) in Alzheimer's disease (AD) involves the necrosome, which is a protein complex consisting of phosphorylated receptor-interacting protein kinase 1 (pRIPK1), pRIPK3 and phosphorylated mixed lineage kinase domain-like protein (pMLKL). Necrosome-positive GVD was associated with neuron loss in AD. GVD was recently linked to the C9ORF72 mutation in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration with transactive response DNA-binding protein (TDP-43) pathology (FTLD-TDP). Therefore, we investigated whether GVD in cases of the ALS-FTLD-TDP spectrum (ALS/FTLD) shows a similar involvement of the necrosome as in AD, and whether it correlates with diagnosis, presence of protein aggregates and cell death in ALS/FTLD. Methods We analysed the presence and distribution of the necrosome in post-mortem brain and spinal cord of ALS and FTLD-TDP patients (n = 30) with and without the C9ORF72 mutation, and controls (n = 22). We investigated the association of the necrosome with diagnosis, the presence of pathological protein aggregates and neuronal loss. Results Necrosome-positive GVD was primarily observed in hippocampal regions of ALS/FTLD cases and was associated with hippocampal TDP-43 inclusions as the main predictor of the pMLKL-GVD stage, as well as with the Braak stage of neurofibrillary tangle pathology. The central cortex and spinal cord, showing motor neuron loss in ALS, were devoid of any accumulation of pRIPK1, pRIPK3 or pMLKL. Conclusions Our findings suggest a role for hippocampal TDP-43 pathology as a contributor to necrosome-positive GVD in ALS/FTLD. The absence of necroptosis-related proteins in motor neurons in ALS argues against a role for necroptosis in ALS-related motor neuron death.

Journal ArticleDOI
TL;DR: The association and interaction of TDP-43 with p-τ in human symptomatic and non-symptomatic AD cases using histochemical and biochemical approaches is reported and the severity of pTDP43 pathology was significantly increased in sympAD and FTLD-TDP cases, when compared to non-AD cases.
Abstract: Alzheimer’s disease (AD) is the leading cause of dementia in elderly people and is characterized by two major neuropathological hallmarks: amyloid β-protein (Aβ)-containing senile plaques and neurofibrillary tangles (NFTs) consisting of abnormal phosphorylated τ protein (p-τ). Besides these proteins, transactive response DNA-binding protein 43 (TDP-43) was also discovered to accumulate in the limbic regions of AD brains, by forming cytoplasmic inclusions [1, 2, 10]. Studies have shown that in AD, TDP-43 is associated with smaller hippocampal volumes and more severe cognitive impairment [7]. Accordingly, patients with abnormal TDP-43 immunoreactivity were shown to have a clinically more severe degree of dementia, compared to those without TDP-43 inclusions [6, 8]. Some studies have shown the co-localization of TDP-43 and p-τ pathology in the AD brain, as well as the presence of TDP-43 in NFTs [3, 12, 13]. Moreover, TDP-43 spreading pattern in the brain reminisces that of p-τ [5]. However, whether these two proteins interact and how they are associated during AD pathogenesis were not yet addressed. Here, we report the association and interaction of TDP-43 with p-τ in human symptomatic and non-symptomatic AD cases using histochemical and biochemical approaches. We have analyzed 13 non-diseased controls and 10 pathologically defined pre-clinical AD cases (p-preAD) with TDP-43 pathology, which exhibited AD-related neuropathological changes but lacked AD symptoms during their lifetime. We also included 25 symptomatic AD cases (sympAD) with TDP-43 pathology and used 9 FTLD-TDP cases as positive controls for TDP-43 pathology (Suppl. Tab. 1, online resource). To investigate the co-occurrence of pTDP-43 and p-τ in the different morphological TDP-43 lesions, we first performed double-label immunofluorescence with antiphosphorylated TDP-43 (pTDP-43) and anti-p-τ antibodies (Suppl. Tab. 2, online resource). We observed that sympAD cases displayed dystrophic neurites positive for both proteins (Fig. 1a). As for neuronal cytoplasmic inclusions (NCIs), we observed some inclusions positive for pTDP-43, but negative for p-τ (Fig. 1a). Further, we observed neurofibrillary tangle-like structures positive for pTDP-43 and p-τ (Fig. 1a). We then quantified the severity of pTDP-43 lesions (DNs, NCIs or NFT-like material), as well as p-τ pathology (p-τ-positive NFTs) in our cohort. The severity of pTDP43 pathology was significantly increased in sympAD and FTLD-TDP cases, when compared to non-AD cases (Fig. 1b, Suppl. Tab. 3, online resource). Additionally, NFT severity was also significantly increased in sympAD cases compared to non-AD and FTLD-TDP cases (Fig. 1c). p-preAD cases showed a trend towards an increased severity compared to non-AD and FTLD-TDP cases (Suppl. Tab. 4, online resource). To address whether neurons that present NFTs still contain physiological nuclear TDP-43, we performed co-staining with antibodies against non-phosphorylated N(N-t, 1-50aa.) or C-terminal (C-t, 260-414aa.) epitopes of TDP43 and p-τ (Suppl. Tab. 2, online resource). We observed that most neurons with NFTs or pretangles still have nonphosphorylated TDP-43 in the nucleus (arrows, Suppl. Figure 1, online resource). Only few p-τ-positive cells presented a nucleus cleared of TDP-43 (arrowheads in Suppl. Figure 1, online resource). Further, we performed double-labelling with the Gallyas silver staining and anti-pTDP-43 (pS409/pS410) in sympAD * Dietmar Rudolf Thal dietmar.thal@kuleuven.be

Journal ArticleDOI
TL;DR: This article performed genome-wide association studies (GWAS) using DNA and cerebrospinal fluid (CSF) samples from the EMIF-AD Multimodal Biomarker Discovery study for discovery, and the Alzheimer's Disease Neuroimaging Initiative study for validation analyses.
Abstract: Introduction Neurofilament light (NfL), chitinase-3-like protein 1 (YKL-40), and neurogranin (Ng) are biomarkers for Alzheimer's disease (AD) to monitor axonal damage, astroglial activation, and synaptic degeneration, respectively. Methods We performed genome-wide association studies (GWAS) using DNA and cerebrospinal fluid (CSF) samples from the EMIF-AD Multimodal Biomarker Discovery study for discovery, and the Alzheimer's Disease Neuroimaging Initiative study for validation analyses. GWAS were performed for all three CSF biomarkers using linear regression models adjusting for relevant covariates. Results We identify novel genome-wide significant associations between DNA variants in TMEM106B and CSF levels of NfL, and between CPOX and YKL-40. We confirm previous work suggesting that YKL-40 levels are associated with DNA variants in CHI3L1. Discussion Our study provides important new insights into the genetic architecture underlying interindividual variation in three AD-related CSF biomarkers. In particular, our data shed light on the sequence of events regarding the initiation and progression of neuropathological processes relevant in AD.

Journal ArticleDOI
TL;DR: In this paper, the authors sought to discover and replicate plasma proteomic biomarkers relating to Alzheimer's disease (AD) including both the "ATN" (amyloid/tau/neurodegeneration) diagnostic framework and clinical diagnosis.
Abstract: Introduction This study sought to discover and replicate plasma proteomic biomarkers relating to Alzheimer's disease (AD) including both the "ATN" (amyloid/tau/neurodegeneration) diagnostic framework and clinical diagnosis. Methods Plasma proteins from 972 subjects (372 controls, 409 mild cognitive impairment [MCI], and 191 AD) were measured using both SOMAscan and targeted assays, including 4001 and 25 proteins, respectively. Results Protein co-expression network analysis of SOMAscan data revealed the relation between proteins and "N" varied across different neurodegeneration markers, indicating that the ATN variants are not interchangeable. Using hub proteins, age, and apolipoprotein E e4 genotype discriminated AD from controls with an area under the curve (AUC) of 0.81 and MCI convertors from non-convertors with an AUC of 0.74. Targeted assays replicated the relation of four proteins with the ATN framework and clinical diagnosis. Discussion Our study suggests that blood proteins can predict the presence of AD pathology as measured in the ATN framework as well as clinical diagnosis.

Journal ArticleDOI
TL;DR: The Revised Self-Monitoring Scale (RSMS) was used as a measure of socioemotional sensitivity and correlated with disease severity in all groups and implicated an overlapping network of regions including the orbitofrontal cortex, insula, temporal pole, medial temporal lobe and striatum.
Abstract: Although social cognitive dysfunction is a major feature of frontotemporal dementia (FTD), it has been poorly studied in familial forms. A key goal of studies is to detect early cognitive impairment using validated measures in large patient cohorts. We used the Revised Self-Monitoring Scale (RSMS) as a measure of socioemotional sensitivity in 730 participants from the genetic FTD initiative (GENFI) observational study: 269 mutation-negative healthy controls, 193 C9orf72 expansion carriers, 193 GRN mutation carriers and 75 MAPT mutation carriers. All participants underwent the standardised GENFI clinical assessment including the ‘CDR® plus NACC FTLD’ scale and RSMS. The RSMS total score and its two subscores, socioemotional expressiveness (EX score) and modification of self-presentation (SP score) were measured. Volumetric T1-weighted magnetic resonance imaging was available from 377 mutation carriers for voxel-based morphometry (VBM) analysis. The RSMS was decreased in symptomatic mutation carriers in all genetic groups but at a prodromal stage only in the C9orf72 (for the total score and both subscores) and GRN (for the modification of self-presentation subscore) groups. RSMS score correlated with disease severity in all groups. The VBM analysis implicated an overlapping network of regions including the orbitofrontal cortex, insula, temporal pole, medial temporal lobe and striatum. The RSMS indexes socioemotional impairment at an early stage of genetic FTD and may be a suitable outcome measure in forthcoming trials.

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TL;DR: In this article, a biomarker-based stratification and biomarker cascade of the likely most treatment-relevant stage within the presymptomatic phase: the conversion stage was provided.
Abstract: Objective While the presymptomatic stages of frontotemporal dementia (FTD) provide a unique chance to delay or even prevent neurodegeneration by early intervention, they remain poorly defined. Leveraging a large multicentre cohort of genetic FTD mutation carriers, we provide a biomarker-based stratification and biomarker cascade of the likely most treatment-relevant stage within the presymptomatic phase: the conversion stage. Methods We longitudinally assessed serum levels of neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in the GENFI cohort (n = 444), using single-molecule array technique. Subjects comprised 91 symptomatic and 179 presymptomatic subjects with mutations in the FTD genes C9orf72, GRN or MAPT, and 174 mutation-negative within-family controls. Results In a biomarker cascade, NfL increase preceded the hypothetical clinical onset by 15 years and concurred with brain atrophy onset, while pNfH increase started close to clinical onset. The conversion stage was marked by increased NfL, but still normal pNfH levels, while both were increased at the symptomatic stage. Intra-individual change rates were increased for NfL at the conversion stage and for pNfH at the symptomatic stage, highlighting their respective potential as stage-dependent dynamic biomarkers within the biomarker cascade. Increased NfL levels and NfL change rates allowed identification of presymptomatic subjects converting to symptomatic disease and capture of proximity-to-onset. We estimate stage-dependent sample sizes for trials aiming to decrease neurofilament levels or change rates. Interpretation Blood NfL and pNfH provide dynamic stage-dependent stratification and, potentially, treatment response biomarkers in presymptomatic FTD, allowing demarcation of the conversion stage. The proposed biomarker cascade might pave the way towards a biomarker-based precision medicine approach to genetic FTD. This article is protected by copyright. All rights reserved.

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TL;DR: In this paper, the authors used mass spectrometry to identify four groups of AD-related proteins being changed in levels in preclinical and symptomatic AD cases: early responding, late responding, gradually changing, and fraction shifting proteins.
Abstract: Proteome profile changes in Alzheimer's disease (AD) brains have been reported. However, it is unclear whether they represent a continuous process, or whether there is a sequential involvement of distinct proteins. To address this question, we used mass spectrometry. We analyzed soluble, dispersible, sodium dodecyl sulfate, and formic acid fractions of neocortex homogenates (mainly Brodmann area 17-19) from 18 pathologically diagnosed preclinical AD, 17 symptomatic AD, and 18 cases without signs of neurodegeneration. By doing so, we identified four groups of AD-related proteins being changed in levels in preclinical and symptomatic AD cases: early-responding, late-responding, gradually-changing, and fraction-shifting proteins. Gene ontology analysis of these proteins and all known AD-risk/causative genes identified vesicle endocytosis and the secretory pathway-related processes as an early-involved AD component. In conclusion, our findings suggest that subtle changes involving the secretory pathway and endocytosis precede severe proteome changes in symptomatic AD as part of the preclinical phase of AD. The respective early-responding proteins may also contribute to synaptic vesicle cycle alterations in symptomatic AD.

Journal ArticleDOI
01 Sep 2021
TL;DR: The first randomized clinical trial of a histone deacetylase inhibitor in frontotemporal dementia (FTD) resulting from progranulin (GRN) gene variations was described in this article.
Abstract: Importance Histone deacetylase inhibitors have been repeatedly shown to elevate progranulin levels in preclinical models. This report describes the first randomized clinical trial of a histone deacetylase inhibitor in frontotemporal dementia (FTD) resulting from progranulin (GRN) gene variations. Objective To characterize the safety, tolerability, plasma pharmacokinetics, and pharmacodynamic effects of oral FRM-0334 on plasma progranulin and other exploratory biomarkers, including fluorodeoxyglucose (FDG)–positron emission tomography (PET), in individuals withGRNhaploinsufficiency. Design, Setting, and Participants In this randomized, double-blind, placebo-controlled, dose-escalating, phase 2a safety, tolerability, and pharmacodynamic clinical study, 2 doses of a histone deacetylase inhibitor (FRM-0334) were administered to participants with prodromal to moderate FTD with granulin variations. Participants were recruited from January 13, 2015, to April 13, 2016. The study included 27 participants with prodromal (n = 8) or mild-to-moderate symptoms of FTD (n = 19) and heterozygous pathogenic variations inGRNand was conducted at multiple centers in North America, the UK, and the European Union. Data were analyzed from June 9, 2019, to May 13, 2021. Interventions Daily oral placebo (n = 5), 300 mg of FRM-0334 (n = 11), or 500 mg of FRM-0334 (n = 11) was administered for 28 days. Main Outcomes and Measures Primary outcomes were safety and tolerability of FRM-0334 and its peripheral pharmacodynamic effect on plasma progranulin. Secondary outcomes were the plasma pharmacokinetic profile of FRM-0334 and its pharmacodynamic effect on cerebrospinal fluid progranulin. Exploratory outcomes were FDG-PET, FTD clinical severity, and cerebrospinal fluid biomarkers (neurofilament light chain [NfL], amyloid β 1-42, phosphorylated tau 181, and total tau [t-tau]). Results A total of 27 participants (mean [SD] age, 56.6 [10.5] years; 16 women [59.3%]; 26 White participants [96.3%]) withGRNvariations were randomized and completed treatment. FRM-0334 was safe and well tolerated but did not affect plasma progranulin (4.3 pg/mL per day change after treatment; 95% CI, –10.1 to 18.8 pg/mL;P = .56), cerebrospinal fluid progranulin (0.42 pg/mL per day; 95% CI, –0.12 to 0.95 pg/mL;P = .13), or exploratory pharmacodynamic measures. Plasma FRM-0334 exposure did not increase proportionally with dose. Brain FDG-PET data were available in 26 of 27 randomized participants. In a cross-sectional analysis of 26 individuals, bifrontal cortical FDG hypometabolism was associated with worse Clinical Dementia Rating (CDR) plus National Alzheimer’s Coordinating Center frontotemporal lobar degeneration sum of boxes score (b = −3.6 × 10−2standardized uptake value ratio [SUVR] units/CDR units; 95% CI, −4.9 × 10−2to −2.2 × 10−2;P Conclusions and Relevance In this randomized clinical trial, the current formulation of FRM-0334 did not elevate PRGN levels, which could reflect a lack of efficacy at attained exposures, low bioavailability, or some combination of the 2 factors. Bifrontal FDG-PET is a sensitive measure of symptomaticGRNhaploinsufficiency. International multicenter clinical trials of FTD-GRN are feasible. Trial Registration ClinicalTrials.gov Identifier:NCT02149160

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TL;DR: In this article, the authors identified a PTC mutation in 67 AD patients (4.9%), and in 18 control individuals (1.8%) confirming the enrichment of ABCA7 PTC mutations in Belgian AD patients.

Journal ArticleDOI
30 Mar 2021
TL;DR: A review of the cognitive and behavioral manifestations commonly encountered in ALS patients with the goal of improving case-oriented management in clinical practice is presented in this article, where the authors introduce the principal ALS-FTSD subtypes and comment on their principal clinical manifestations, neuroimaging findings, neuropathological and genetic background.
Abstract: Amyotrophic lateral sclerosis (ALS) has long been considered to be a purely motor disorder. However, it has become apparent that many ALS patients develop cognitive and behavioral manifestations similar to frontotemporal dementia and the term amyotrophic lateral sclerosis-frontotemporal spectrum disorder (ALS-FTSD) is now used in these circumstances. This review is intended to be an overview of the cognitive and behavioral manifestations commonly encountered in ALS patients with the goal of improving case-oriented management in clinical practice. We introduce the principal ALS-FTSD subtypes and comment on their principal clinical manifestations, neuroimaging findings, neuropathological and genetic background, and summarize available therapeutic options. Diagnostic criteria for ALS-FTSD create distinct categories based on the type of neuropsychological manifestations, i.e., changes in behavior, impaired social cognition, executive dysfunction, and language or memory impairment. Cognitive impairment is found in up to 65%, while frank dementia affects about 15% of ALS patients. ALS motor and cognitive manifestations can worsen in parallel, becoming more pronounced when bulbar functions (affecting speech, swallowing, and salivation) are involved. Dementia can precede or develop after the appearance of motor symptoms. ALS-FTSD patients have a worse prognosis and shorter survival rates than patients with ALS or frontotemporal dementia alone. Important negative prognostic factors are behavioral and personality changes. From the clinician's perspective, there are five major distinguishable ALS-FTSD subtypes: ALS with cognitive impairment, ALS with behavioral impairment, ALS with combined cognitive and behavioral impairment, fully developed frontotemporal dementia in combination with ALS, and comorbid ALS and Alzheimer's disease. Although the most consistent ALS and ALS-FTSD pathology is a disturbance in transactive response DNA binding protein 43 kDa (TDP-43) metabolism, alterations in microtubule-associated tau protein metabolism have also been observed in ALS-FTSD. Early detection and careful monitoring of cognitive deficits in ALS are crucial for patient and caregiver support and enable personalized management of individual patient needs.

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TL;DR: In this paper, the Free and Cued Selective Reminding Test (FCSRT) was used to assess episodic memory in genetic frontotemporal dementia (FTD).

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Sofia Bergström1, Linn Öijerstedt2, Julia Remnestål1, Jennie Olofsson1  +148 moreInstitutions (20)
TL;DR: In this paper, a multiplexed antibody-based suspension bead array was used to analyse levels of 111 proteins in CSF samples from 221 individuals from families with genetic frontotemporal dementia.
Abstract: BACKGROUND A detailed understanding of the pathological processes involved in genetic frontotemporal dementia is critical in order to provide the patients with an optimal future treatment. Protein levels in CSF have the potential to reflect different pathophysiological processes in the brain. We aimed to identify and evaluate panels of CSF proteins with potential to separate symptomatic individuals from individuals without clinical symptoms (unaffected), as well as presymptomatic individuals from mutation non-carriers. METHODS A multiplexed antibody-based suspension bead array was used to analyse levels of 111 proteins in CSF samples from 221 individuals from families with genetic frontotemporal dementia. The data was explored using LASSO and Random forest. RESULTS When comparing affected individuals with unaffected individuals, 14 proteins were identified as potentially important for the separation. Among these, four were identified as most important, namely neurofilament medium polypeptide (NEFM), neuronal pentraxin 2 (NPTX2), neurosecretory protein VGF (VGF) and aquaporin 4 (AQP4). The combined profile of these four proteins successfully separated the two groups, with higher levels of NEFM and AQP4 and lower levels of NPTX2 in affected compared to unaffected individuals. VGF contributed to the models, but the levels were not significantly lower in affected individuals. Next, when comparing presymptomatic GRN and C9orf72 mutation carriers in proximity to symptom onset with mutation non-carriers, six proteins were identified with a potential to contribute to a separation, including progranulin (GRN). CONCLUSION In conclusion, we have identified several proteins with the combined potential to separate affected individuals from unaffected individuals, as well as proteins with potential to contribute to the separation between presymptomatic individuals and mutation non-carriers. Further studies are needed to continue the investigation of these proteins and their potential association to the pathophysiological mechanisms in genetic FTD.

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TL;DR: In this article, the authors evaluated the comparability of the 3 approved visual rating protocols to classify a scan as amyloid-positive or negative, when applied by groups of experts and nonexperts to all 3 amyloidal PET tracers.
Abstract: To date, 3 18F-labeled PET tracers have been approved for assessing cerebral amyloid plaque pathology in the diagnostic workup of suspected Alzheimer disease (AD). Although scanning protocols are relatively similar across tracers, U.S. Food and Drug Administration- and the European Medicines Agency-approved visual rating protocols differ among the 3 tracers. This proof-of-concept study assessed the comparability of the 3 approved visual rating protocols to classify a scan as amyloid-positive or -negative, when applied by groups of experts and nonexperts to all 3 amyloid tracers. Methods: In an international multicenter approach, both expert (n = 4) and nonexpert raters (n = 3) rated scans acquired with 18F-florbetaben, 18F-florbetapir and 18F-flutemetamol. Scans obtained with each tracer were presented for reading according to all 3 approved visual rating protocols. In a randomized order, every single scan was rated by each reader according to all 3 protocols. Raters were blinded for the amyloid tracer used and asked to rate each scan as positive or negative, giving a confidence judgment after each response. Percentage of visual reader agreement, interrater reliability, and agreement of each visual read with binary quantitative measures (fixed SUV ratio threshold for positive or negative scans) were computed. These metrics were analyzed separately for expert and nonexpert groups. Results: No significant differences in using the different approved visual rating protocols were observed across the different metrics of agreement in the group of experts. Nominal differences suggested that the 18F-florbetaben visual rating protocol achieved the highest interrater reliability and accuracy especially under low confidence conditions. For the group of nonexpert raters, significant differences between the different visual rating protocols were observed with overall moderate-to-fair accuracy and with the highest reliability for the 18F-florbetapir visual rating protocol. Conclusion: We observed high interrater agreement despite applying different visual rating protocols for all 18F-labeled amyloid tracers. This implies that the results of the visual interpretation of amyloid imaging can be well standardized and do not depend on the rating protocol in experts. Consequently, the creation of a universal visual assessment protocol for all amyloid imaging tracers appears feasible, which could benefit especially the less-experienced readers.

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TL;DR: This article measured soluble triggering receptor expressed on myeloid cells 2 (sTREM2), which is shed from disease-associated microglia following cleavage of TREM2, in cerebrospinal fluid of 34 presymptomatic and 35 symptomatic frontotemporal dementia (GRN) mutation carriers, 6 pre-mthomatic and 32 symptomatic C9orf72 mutation carriers and 67 healthy noncarriers by ELISA.

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TL;DR: In this article, a random forest classifier was used to individually predict frontotemporal dementia from deformation-based morphometry differences in isolation and together with semantic fluency.
Abstract: Introduction Structural brain imaging is paramount for the diagnosis of behavioural variant of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. Methods A total of 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used to perform voxel-wise morphometric analysis to identify regions with significant differences between bvFTD and controls. A random forest classifier was used to individually predict bvFTD from deformation-based morphometry differences in isolation and together with semantic fluency. Tenfold cross validation was used to assess the performance of the classifier within the training cohort. A second held-out cohort of genetically confirmed bvFTD cases was used for additional validation. Results Average 10-fold cross-validation accuracy was 89% (82% sensitivity, 93% specificity) using only MRI and 94% (89% sensitivity, 98% specificity) with the addition of semantic fluency. In the separate validation cohort of definite bvFTD, accuracy was 88% (81% sensitivity, 92% specificity) with MRI and 91% (79% sensitivity, 96% specificity) with added semantic fluency scores. Conclusion Our results show that structural MRI and semantic fluency can accurately predict bvFTD at the individual subject level within a completely independent validation cohort coming from a different and independent database.

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Sergi Borrego-Écija1, Roser Sala-Llonch1, John C. van Swieten2, Barbara Borroni3, Fermin Moreno, Mario Masellis4, Carmela Tartaglia5, Caroline Graff6, Daniela Galimberti7, Robert Laforce8, James B. Rowe9, Elizabeth Finger10, Rik Vandenberghe11, Fabrizio Tagliavini, Alexandre de Mendonça12, Isabel Santana13, Matthis Synofzik14, Matthis Synofzik15, Simon Ducharme16, Simon Ducharme17, Johannes Levin18, Johannes Levin14, Adrian Danek18, Alexander Gerhard19, Markus Otto20, Christopher C Butler21, Giovanni B. Frisoni22, Sandro Sorbi23, Carolin Heller24, Martina Bocchetta24, David M. Cash24, Rhian S Convery24, Katrina M. Moore24, Jonathan D. Rohrer24, Raquel Sánchez-Valle1, Martin N. Rossor24, Nick C. Fox24, Ione O.C. Woollacott24, Rachelle Shafei24, Caroline V. Greaves24, Mollie Neason24, Rita Guerreiro24, Jose Bras24, David L. Thomas24, Jennifer M. Nicholas25, Simon Mead24, Lieke H.H. Meeter2, Jessica L. Panman2, Janne M. Papma2, Rick van Minkelen2, Yolande A.L. Pijnenburg26, Begoña Indakoetxea, Alazne Gabilondo, Mikel TaintaMD, Maria de Arriba, Ana Gorostidi, Miren Zulaica, Jorge Villanua, Zigor Diaz, Jaume Olives1, Albert Lladó1, Mircea Balasa1, Anna Antonell1, Núria Bargalló, Enrico Premi3, Maura Cosseddu3, Stefano Gazzina3, Alessandro Padovani3, Roberto Gasparotti3, Silvana Archetti, Sandra E. Black27, Sara Mitchell27, Ekaterina Rogaeva28, Morris Freedman28, Ron Keren29, David F. Tang-Wai30, Linn Öijerstedt6, Christin Andersson31, Vesna Jelic31, Håkan Thonberg31, Andrea Arighi24, Andrea Arighi32, Chiara Fenoglio32, Chiara Fenoglio24, Elio Scarpini24, Elio Scarpini32, Giorgio Fumagalli7, Giorgio Fumagalli23, Giorgio Fumagalli33, Thomas E. Cope33, Carolyn Timberlake33, Timothy Rittman33, Christen Shoesmith10, Robart Bartha10, Rosa Rademakers10, Carlo Wilke34, Carlo Wilke15, Benjamin Bender, Rose Bruffaerts15, Philip Vandamme11, Mathieu Vandenbulcke11, Carolina Maruta11, C. Ferreira12, Gabriel Miltenberger12, Ana Verdelho12, Sónia Afonso13, Ricardo Taipa, Paola Caroppo, Giuseppe Di Fede, Giorgio Giaccone, Sara Prioni, Veronica Redaelli, Giacomina Rossi, Pietro Tiraboschi, Diana Duro13, Maria Rosário Almeida13, Miguel Castelo-Branco13, Maria João Leitão13, Miguel Tábuas-Pereira13, Beatriz Santiago13, Serge Gauthier16, Pedro Rosa-Neto16, Michele Veldsman21, Toby Flanagan19, Catharina Prix18, Tobias Hoegen18, Elisabeth Wlasich18, Sandra V. Loosli18, Sonja Schönecker18, Elisa Semler20, Sarah Anderl-Straub20 
TL;DR: In this paper, the authors analyzed 3T MRI structural images using the FreeSurfer pipeline to calculate the whole brain cortical thickness (CTh) for each subject and performed a vertex-wise general linear model to assess differences between groups in the relationship between CTh and diverse covariables such as gender, age, the estimated years to onset and education.

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TL;DR: In this article, the role of amyloid PET in the diagnosis of possible transmissible CAA in young adults was explored and the results were positive in all 4 patients. But, they did not have genetic evidence of hereditary CAA explaining the young onset.
Abstract: BACKGROUND Cerebral amyloid angiopathy (CAA) is a common cause of cerebrovascular disease in the elderly. There is accumulating evidence suggestive of transmissibility of β-amyloid resulting in amyloid pathology at younger age. According to the Boston criteria, defining CAA in patients <55 years requires histological evidence which may hamper diagnosis. We explored the role of amyloid PET in the diagnosis of possible transmissible CAA in young adults. CASES We report 4 young adults (<55 years) presenting with clinical and neuroimaging features suggestive of CAA but without genetic evidence of hereditary CAA explaining the young onset. A common factor in all cases was a medical history of neurosurgery during childhood. All patients underwent amyloid PET to support the diagnosis of an amyloid-related pathology and the result was positive in all 4. CONCLUSION Combining the clinical presentation and imaging findings of the 4 cases, we postulate transmissible CAA as the possible diagnosis. Further epidemiological studies are required to gain more insight in the prevalence of this novel entity. Amyloid PET may be a useful, non-invasive tool in these analyses especially since pathological evidence will be lacking in most of these studies.

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TL;DR: In this article, Amyloid positron emission tomography (PET) imaging with [18F]-flutemetamol and structural MRI was used to assess the severity of depressive symptoms and episodic memory function.
Abstract: Late-life depression (LLD) is associated with a risk of developing Alzheimer’s disease (AD). However, the role of AD-pathophysiology in LLD, and its association with clinical symptoms and cognitive function are elusive. In this study, one hundred subjects underwent amyloid positron emission tomography (PET) imaging with [18F]-flutemetamol and structural MRI: 48 severely depressed elderly subjects (age 74.1 ± 7.5 years, 33 female) and 52 age-/gender-matched healthy controls (72.4 ± 6.4 years, 37 female). The Geriatric Depression Scale (GDS) and Rey Auditory Verbal Learning Test (RAVLT) were used to assess the severity of depressive symptoms and episodic memory function respectively. Amyloid deposition was quantified using the standardized uptake value ratio. Whole-brain voxel-wise comparisons of amyloid deposition and gray matter volume (GMV) between LLD and controls were performed. Multivariate analysis of covariance was conducted to investigate the association of regional differences in amyloid deposition and GMV with clinical factors, including GDS and RAVLT. As a result, there were no significant group differences in amyloid deposition. In contrast, LLD showed significant lower GMV in the left temporal and parietal region. GMV reduction in the left temporal region was associated with episodic memory dysfunction, but not with depression severity. Regional GMV reduction was not associated with amyloid deposition. LLD is associated with lower GMV in regions that overlap with AD-pathophysiology, and which are associated with episodic memory function. The lack of corresponding associations with amyloid suggests that lower GMV driven by non-amyloid pathology may play a central role in the neurobiology of LLD presenting as a psychiatric disorder. Trial registration: European Union Drug Regulating Authorities Clinical Trials identifier: EudraCT 2009-018064-95.