Literature DB >> 29237796

CSF neurofilament light concentration is increased in presymptomatic CHMP2B mutation carriers.

Nina Rostgaard1, Peter Roos1, Erik Portelius1, Kaj Blennow1, Henrik Zetterberg1, Anja H Simonsen2, Jørgen E Nielsen1.   

Abstract

OBJECTIVE: A rare cause of familial frontotemporal dementia (FTD) is a mutation in the CHMP2B gene on chromosome 3 (FTD-3), described in a Danish family. Here we examine whether CSF biomarkers change in the preclinical phase of the disease.
METHODS: In this cross-sectional explorative study, we analyzed CSF samples from 16 mutation carriers and 14 noncarriers from the Danish FTD-3 family. CSF biomarkers included total tau (t-tau) and neurofilament light chain (NfL) as a marker for neurodegeneration, phosphorylated tau (p-tau) as a marker for tau pathology, β-amyloid (Aβ) 38, 40, and 42 (Aβ38, Aβ40, and Aβ42) to monitor Aβ metabolism, and YKL-40 as a marker of neuroinflammation. Aβ isoform concentrations were measured using a multiplexed immunoassay; t-tau, p-tau, NfL, and YKL-40 concentrations were measured using sandwich ELISAs.
RESULTS: CSF NfL concentration was significantly increased in mutation carriers vs noncarriers. Further, CSF NfL concentration was significantly higher in symptomatic mutation carriers compared to presymptomatic carriers, and also significantly higher in presymptomatic carriers compared to noncarriers. No differences in t-tau and p-tau and YKL-40 concentrations between controls and mutation carriers were observed. CSF concentrations of the Aβ peptides Aβ38 and Aβ40 but not Aβ42 were significantly lower in mutation carriers compared to noncarriers.
CONCLUSIONS: Increased NfL levels in presymptomatic individuals and in symptomatic patients with FTD-3 indicate a continuous process of neurodegeneration from the presymptomatic to symptomatic state. Although not specific for FTD-3 pathology, our data suggest that CSF NfL could serve as a valuable biomarker to detect onset of neurodegeneration in FTD-3 mutation carriers.
Copyright © 2017 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

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Year:  2017        PMID: 29237796      PMCID: PMC5772154          DOI: 10.1212/WNL.0000000000004799

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


A truncating mutation in the CHMP2B gene (c.532-1G>C) on chromosome 3 results in early-onset frontotemporal dementia (FTD) (chromosome 3–linked FTD [FTD-3] or CHMP2B-FTD).[1] This rare cause of FTD was first described in a large Danish family[2] and later a different CHMP2B mutation was identified in an unrelated Belgian patient with familial FTD.[3] The disease is mapped through 6 generations from the first known case in 1876 and the family now counts more than 500 individuals. FTD-3 is characterized by progressive cognitive deficits with behavioral changes. FTD-3 brains present primarily with frontal degeneration as well as temporal and dominant parietal lobe dysfunction.[2] The histopathologic hallmarks of CHMP2B-FTD include ubiquitin-positive inclusions, autofluorescent aggregates, and p62-positive inclusions, while there is no tau, TAR DNA-binding protein 43, or fused in sarcoma pathology.[4] The core CSF biomarkers used for dementia diagnosis are β-amyloid 42 (Aβ42), total tau (t-tau), and phosphorylated tau (p-tau).[5] A large subset of FTD cases have pathologic tau changes with robust increases in CSF t-tau and p-tau levels but normal levels of Aβ42.[6] CSF biomarkers in familial FTD have been investigated in individuals with mutations in MAPT, GRN, or the C9ORF79 repeat expansion[7] but not in CHMP2B mutation carriers. In this cross-sectional explorative study, we analyzed the CSF biomarkers Aβ42, t-tau, and p-tau181 in 30 individuals from the Danish FTD-3 family. We further included neurofilament light (NfL) as a marker of neuronal injury and YKL-40 as a marker of neuroinflammation in our analysis.

Methods

Study population

The FTD-3 family has been subject to extensive studies over more than 20 years within the Frontotemporal Dementia Research in Jutland Association (FReJA) collaboration, and biological material has been collected during the years for linkage analyses, gene identification, and functional studies.[2] The disease has been tracked through 6 generations, and clinical characteristics have been recorded in 45 cases of disease, providing information about natural history, clinical characteristics, and age at onset (AAO). Samples from a total of 30 individuals were included: 10 affected CHMP2B mutation carriers, 6 presymptomatic CHMP2B mutation carriers, and 14 noncarrier family members (table). In the affected FTD-3 patients, the mean AAO was 60.5 years (SD 4.8 years).
Table

Levels of CSF biomarkers

Levels of CSF biomarkers

Standard protocol approvals, registrations, and patient consents

The study was approved by the Ethics Committee of the Capital Region of Denmark (H-1-2012-041), and written informed consent was obtained from each participant before enrollment. Subject age was recorded as the age of the individual on the day of lumbar puncture.

Collection of CSF

In brief, CSF samples were obtained by lumbar puncture and collected in polypropylene tubes, centrifuged at 2,000 g for 10 minutes, aliquoted into cryo tubes, and stored at −80°C until further use.[8]

Immunoassays

Aβ triplex

CSF concentrations of Aβ38, Aβ40, and Aβ42 were measured using V-plex Peptide Panel 1 Kits Aβ38, Aβ40, and Aβ42 (Meso Scale Discovery system, Rockville, MD) according to the manufacturer's protocol: 60 μL of CSF was diluted 2-fold in diluent provided with the kit. Calibrator samples and controls were prepared according to manufacturer's protocol. On 96-well MSD plates precoated with capture antibodies, 25 μL of sample, calibrator, or controls were added to each well followed by addition of 25 μL of detection antibody and incubation at room temperature for 2 hours. Finally, the plate was washed in kit washing buffer and read in a Meso Scale Discovery imager at appropriate wavelength.

Total tau

CSF t-tau concentration was measured by the hTAU Ag ELISA assay (INNOTEST, Fujirebio, Japan) according to the manufacturer's protocol: on a 96-well microtiter plate precoated with anti-human tau antibody, 25-μL samples, controls, and standards ranging from 50 to 2,500 pg/mL were added followed by incubation with a biotinylated detection antibody to tau and addition of peroxidase-conjugated streptavidin. The reaction was developed with tetramethyl benzidine (TMB) chromogen solution and subsequently stopped with 0.9 M sulfuric acid and quantified at 450 nm in a microplate reader.

Phosphorylated tau

The CSF concentration of tau phosphorylated at amino acid 181 (p-tau) was measured by the p-tau (181p) ELISA assay (INNOTEST, Fujirebio, Japan) according to the manufacturer's protocol: on a 96-well microtiter plate precoated with anti-human p-tau antibody, 75-μL samples, controls, and standards ranging from 15.6 to 1,000 pg/mL were added followed by incubation with a biotinylated detection antibody to p-tau and addition of peroxidase-conjugated streptavidin. The reaction was developed with TMB chromogen solution and subsequently stopped with 0.9 M sulfuric acid and quantified at 450 nm in a microplate reader.

Neurofilament light chain

CSF NfL concentration was measured by sandwich ELISA with the antibody NfL21 used for coating the plates (monoclonal mouse antibody against NfL [in-house]). The coating concentration was 0.5 μg/mL in carbonate buffer (pH 9.6). Briefly, 50 μL CSF (1:2 dilution), 100 μL calibrator, and 50 μL PBST (0.05% tween) were added to the coated plates and incubated 1 hour while shaking at room temperature followed by overnight incubation at +4°C. For detection, a biotinylated NfL23 mouse monoclonal antibody against NfL (in-house) was used together with streptavidin–horseradish peroxidase diluted 1:20,000 (100 μL/well). Following wash, 100 μL TMB substrate (TMB One ready-to-use substrate, Kem En Tec Diagnostic, Taastrup, Denmark) was added to each well and plates were incubated for 20 minutes in the dark at room temperature. The reaction was stopped with 100 μL/well of 0.2 M H2SO4 and absorbance was quantified at 450/650 nm in a microplate reader.

YKL-40

CSF YKL-40 concentration was measured using a solid-phase sandwich ELISA (Human Chitinase 3-like 1 Quantikine ELISA kit, R&D Systems, Oxon, UK) according to the manufacturer's protocol: 50 μL of CSF was diluted 2-fold in diluent provided with the kit. Calibrators and controls were prepared according to protocol. On a capture-antibody precoated 96-well microtiter plate, 50 μL of CSF sample, calibrator, or controls were added followed by addition of 200 μL of conjugate and incubation at room temperature for 2 hours. Finally, each well was washed in the provided washing buffer, followed by addition of 200 μL substrate solution, and subsequently stopped with 50 μL of the provided stop solution. Quantification was carried out at 540/570 nm in a microplate reader. All biochemical measurements were performed by board-certified laboratory technicians who were blinded to clinical information. The measurements were performed in one round of experiments using one batch of reagents. Intra-assay coefficients of variation were below 10%.

Statistical methods

Data were analyzed using SAS software (Enterprise Guide 7.1, 2014, SAS Institute Inc, Cary, NC). Concentrations of each biomarker were compared between controls and CHMP2B mutation carriers, and between affected individuals and presymptomatic mutation carriers. As some biomarkers were found to be age-dependent, participant age was included in a subsequent analysis using general linear modeling (GLM). Where it was necessary, logarithmic transformation was performed to obtain normal distribution.

Results

CSF data for all measured markers are shown in the table. Participant age and sex distribution did not differ significantly between mutation carriers and noncarriers (t[29] = −0.63, p = 0.53 and χ2[1] = 0.28, p = 0.59, respectively). In our dataset, t-tau, p-tau, and YKL-40 levels were found to be age-dependent (GLM, F1,28 = 6.68, p = 0.0153; F1,28 = 5.14, p = 0.0314; F1,28 = 6.37, p = 0.0176, respectively) while Aβ38, Aβ40, Aβ42, and NfL were not (GLM, F1,28 = 2.45, p = 0.1288; F1,28 = 1.80, p = 0.1906; F1,28 = 0.22, p = 0.6450; F1,27 = 0.38, p = 0.4935, respectively). When adjusted for age-dependency, statistical analysis showed no difference in t-tau and p-tau levels between controls and mutation carriers (GLM, F3,26 = 3.29, p = 0.5173, and F3,26 = 3.86, p = 0.69, respectively). Levels of Aβ38 and Aβ40 but not Aβ42 were significantly decreased in mutation carriers compared to noncarriers (GLM, F1,28 = 6.23, p = 0.02; F1,28 = 4.75, p = 0.04; and F1,28 = 1.87, p = 0.18, respectively) (figure 1). Aβ42/Aβ38, Aβ42/Aβ40, t-tau/Aβ42, and p-tau/Aβ42 ratios were not found to be significantly different between the 2 groups (GLM, F1,28 = 0.23, p = 0.63; F1,28 = 0.05, p = 0.83; F3,25 = 2.37, p = 0.68; and F3,25 = 1.96, p = 0.73, respectively).
Figure 1

CSF biomarkers in CHMP2B mutation carriers compared to noncarriers

Box plots show CSF concentrations of β-amyloid 42 (Aβ)38, Aβ40, Aβ42, total tau (t-tau), phosphorylated tau (p-tau), and YKL-40 analyzed by immunoassays. Levels of the Aβ peptides Aβ38 (A) and Aβ40 (C) were significantly decreased in mutation carriers compared to noncarriers (p = 0.02 and p = 0.04, respectively). Levels of Aβ42, t-tau, p-tau, and YKL-40 (B, D–F) were not found to differ significantly between the 2 groups.

CSF biomarkers in CHMP2B mutation carriers compared to noncarriers

Box plots show CSF concentrations of β-amyloid 42 (Aβ)38, Aβ40, Aβ42, total tau (t-tau), phosphorylated tau (p-tau), and YKL-40 analyzed by immunoassays. Levels of the Aβ peptides Aβ38 (A) and Aβ40 (C) were significantly decreased in mutation carriers compared to noncarriers (p = 0.02 and p = 0.04, respectively). Levels of Aβ42, t-tau, p-tau, and YKL-40 (B, D–F) were not found to differ significantly between the 2 groups. YKL-40 CSF levels did not differ significantly between mutation carriers and noncarriers after adjustment for age (GLM, F3,26 = 2.64, p = 0.57) (figure 1). CSF levels of NfL were significantly higher in mutation carriers compared to noncarriers (GLM, F1,28 = 53.92, p ≤ 0.0001) (figure 2). When adjusting for participant age, this difference persisted (GLM, F3,26 = 29.44, p = 0.021). Symptomatic mutation carriers had significantly higher NfL levels than presymptomatic mutation carriers (GLM, F1,14 = 8.61, p = 0.0109), while presymptomatic carriers had significantly increased NfL levels compared to noncarriers (GLM, F1,17 = 10.97, p = 0.004).
Figure 2

CSF concentrations of neurofilament light (NfL) in symptomatic and presymptomatic CHMP2B mutation carriers (MC) and noncarriers

Box plots (A, B) and scatterplot (C) show CSF concentrations of NfL. (A) CSF levels of NfL were significantly higher in MCs compared to noncarriers (p ≤ 0.0001), also when adjusted for age correlation (p = 0.021). (B) Symptomatic MCs had significantly higher NfL levels than presymptomatic MCs (p = 0.0109), while presymptomatic carriers had significantly increased NfL levels compared to noncarriers (p = 0.0002). (C) Even the youngest presymptomatic MCs had higher NfL levels than aged noncarriers.

CSF concentrations of neurofilament light (NfL) in symptomatic and presymptomatic CHMP2B mutation carriers (MC) and noncarriers

Box plots (A, B) and scatterplot (C) show CSF concentrations of NfL. (A) CSF levels of NfL were significantly higher in MCs compared to noncarriers (p ≤ 0.0001), also when adjusted for age correlation (p = 0.021). (B) Symptomatic MCs had significantly higher NfL levels than presymptomatic MCs (p = 0.0109), while presymptomatic carriers had significantly increased NfL levels compared to noncarriers (p = 0.0002). (C) Even the youngest presymptomatic MCs had higher NfL levels than aged noncarriers. In the age-corrected model, levels of NfL were found to be significantly increased in symptomatic mutation carriers when compared to presymptomatic carriers (GLM, F3,12 = 7.02, p = 0.0064), while the significant difference between presymptomatic mutation carriers and noncarriers disappeared (GLM, F3,15 = 9.94, p = 26.22). As illustrated (figure 2), NfL levels were high in mutation carriers years prior to the expected clinical onset of 58 years.[9] Even when adjusting for participant age, this elevation was significant (GLM, F3,26 = 29.44, p = 0.021).

Discussion

In this explorative study, we analyzed CSF samples from 10 affected CHMP2B mutation carriers, 6 presymptomatic CHMP2B mutation carriers, and 14 noncarriers from the Danish FTD-3 family. Further investigations on the diagnostic performance of the markers are needed to clarify the influence of age on the levels of the investigated biomarkers. In our FTD-3 cohort, mutation carriers had significantly increased levels of CSF NfL compared to controls. Interestingly, this increase could be detected in presymptomatic individuals several years prior to expected AAO. Even the youngest presymptomatic mutation carrier (participant age 32, which is 26 years prior to expected clinical onset) had higher CSF NfL levels than some of the oldest noncarriers (figure 2). This suggests that the neurodegenerative process is ongoing in mutation carriers several decades before onset of symptoms, as was also reported in individuals with autosomal inherited Alzheimer disease (AD) in the Dominantly Inherited Alzheimer Network (DIAN) cohort.[10] In contrast to our findings, a recent publication from the GENFI consortium found that CSF NfL levels were significantly increased in symptomatic carriers of mutations in other FTD-causing risk genes, GRN, MAPT, or C9ORF27, when compared to presymptomatic carriers and that presymptomatic carriers and control participants had similar NfL levels.[11] In that study, the symptomatic mutation carriers' NfL levels correlated with disease severity, brain atrophy, and survival.[11] In recent years, neurofilaments have been investigated in several neurodegenerative diseases[12] and a meta-analysis has concluded that both NfL and neurofilament heavy are increased overall in patients with sporadic AD, FTD, and vascular dementia.[13] Other studies have shown that CSF NfL levels were increased in sporadic FTD when compared to other dementia groups or healthy controls.[14-19] Our results and the results from the studies of sporadic FTD cases suggest that NfL may be applied as biomarker of neurodegenerative progression and disease severity. We detected a significant decrease in CSF Aβ38 and Aβ40 levels, but not in Aβ42 levels, in mutation carriers compared to noncarriers. The Aβ42/Aβ38 and Aβ42/Aβ40 ratios, however, did not differ between mutation carriers and controls. These results concur with the hypothesis that FTD-3 is not an amyloid disease, as no amyloid pathology has been identified.[2,20] Substantiating this further, amyloid ligand PET scans in 4 affected patients with FTD-3 have shown no accumulation of amyloid (unpublished material). Lower Aβ38 and Aβ40 concentrations in CSF have been noted in PSEN1 mutation carriers and may indicate impaired γ-secretase processing of APP.[21] Lower Aβ38 and Aβ40 have also been seen in neuroinflammatory conditions.[22] Finally, there are some indications that reduced neuronal/synaptic activity may lead to less Aβ production in general.[23,24] In MAPT, GRN, and C9ORF72 mutation carriers, levels of Aβ42 are generally found to be within normal range while levels of t-tau and p-tau are not well-characterized due to lack of consistent CSF profile for these patients.[7] We did not observe a difference in CSF p-tau levels in mutation carriers compared to noncarriers in the current study. This finding is not surprising as patients with FTD-3 do not display the hyperphosphorylated tau pathology that is otherwise observed in other FTDs.[2,20] Also, we found no significant increase in CSF t-tau levels. This was surprising as t-tau is known to be a general marker of neurodegeneration and it is well-described that patients with FTD-3 have brain atrophy even early in disease.[20,25,26] The CSF level of the inflammation marker YLK-40 was found to increase with age in both mutation carriers and noncarriers in our FTD-3 cohort. This finding concurs with another study showing that CSF YKL-40 levels did not differ between patients with FTD and controls.[27] YKL-40 is a secreted 40-kDa glycoprotein belonging to the member of the human chitinase activity family.[28] YKL-40 is expressed in several tissues including astrocytes and microglia in the brain. It has been shown that YKL-40 plays an important role in astrocyte and microglial response to neuroinflammation.[29,30] Our finding suggests that the observed increase is a consequence of age rather than mutation status and therefore YKL-40 may not be a valuable marker of disease in FTD-3. However, in some studies, CSF levels of YKL-40 have been shown to be increased in patients with AD and FTD when compared to cognitively healthy controls.[31,32] Other studies have found that CSF YKL-40 levels in patients with FTD are increased compared to patients with AD.[33,34] Since FTD is a clinically and pathologically heterogeneous disease, differences in the individual cohorts analyzed could explain why CSF YKL-40 concentrations vary among different studies (for review, see reference 35). To our knowledge, all studies of YKL-40 as a CSF biomarker in patients with FTD have reported on sporadic cases and therefore might not reflect the pathology of genetic FTD. In spite of our finding that YKL-40 cannot be used as a marker to differentiate mutation carriers from controls, these results do not necessarily imply that neuroinflammation is not an important aspect of FTD-3 pathology. Recently, microglial activation was studied thoroughly in a FTD-3 mouse model. Early microglial proliferation and a clear proinflammatory phenotype was observed in the CHMP2B mutant mice compared to wild-types, which is similar to the inflammatory profile found in FTD-3 brains.[4,36] These data suggest that neuroinflammation could be a pathologic driver of FTD-3 disease and that it might be valuable to measure CSF biomarkers of neuroinflammation in patients with FTD-3. However, in order to differentiate between disease development and normal aging, a more specific CSF marker than YLK-40 should be used. Taken together, our results suggest that the unchanged levels of tau in CSF corroborate the absence of tau pathology in these patients. The decreased levels of Aβ38 and Aβ40 may be due to a general downregulation of APP processing; however, this needs to be further investigated. Our observations of increase in NfL levels in presymptomatic individuals and even further increase of NfL levels in affected patients with FTD-3 indicate a continuous process of neurodegeneration during the presymptomatic to symptomatic state. Furthermore, our study implies that NfL is a sensitive marker of the widespread neurodegeneration occurring in patients with FTD-3, even decades before symptom onset.
  35 in total

1.  Two-level diagnostic classification using cerebrospinal fluid YKL-40 in Alzheimer's disease.

Authors:  Filippo Baldacci; Nicola Toschi; Simone Lista; Henrik Zetterberg; Kaj Blennow; Ingo Kilimann; Stefan Teipel; Enrica Cavedo; Antonio Melo Dos Santos; Stéphane Epelbaum; Foudil Lamari; Bruno Dubois; Roberto Floris; Francesco Garaci; Ubaldo Bonuccelli; Harald Hampel
Journal:  Alzheimers Dement       Date:  2017-03-03       Impact factor: 21.566

Review 2.  From frontotemporal lobar degeneration pathology to frontotemporal lobar degeneration biomarkers.

Authors:  Chadwick M Hales; William T Hu
Journal:  Int Rev Psychiatry       Date:  2013-04

3.  Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementia.

Authors:  Gaia Skibinski; Nicholas J Parkinson; Jeremy M Brown; Lisa Chakrabarti; Sarah L Lloyd; Holger Hummerich; Jørgen E Nielsen; John R Hodges; Maria Grazia Spillantini; Tove Thusgaard; Sebastian Brandner; Arne Brun; Martin N Rossor; Anders Gade; Peter Johannsen; Sven Asger Sørensen; Susanne Gydesen; Elizabeth M C Fisher; John Collinge
Journal:  Nat Genet       Date:  2005-07-24       Impact factor: 38.330

4.  CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival.

Authors:  Tobias Skillbäck; Bahman Farahmand; Jonathan W Bartlett; Christoffer Rosén; Niklas Mattsson; Katarina Nägga; Lena Kilander; Dorota Religa; Anders Wimo; Bengt Winblad; Lars Rosengren; Jonathan M Schott; Kaj Blennow; Maria Eriksdotter; Henrik Zetterberg
Journal:  Neurology       Date:  2014-10-22       Impact factor: 9.910

Review 5.  Cerebrospinal fluid and plasma biomarkers in Alzheimer disease.

Authors:  Kaj Blennow; Harald Hampel; Michael Weiner; Henrik Zetterberg
Journal:  Nat Rev Neurol       Date:  2010-02-16       Impact factor: 42.937

6.  Cerebrospinal fluid biomarkers of β-amyloid metabolism in multiple sclerosis.

Authors:  Kristin Augutis; Markus Axelsson; Erik Portelius; Gunnar Brinkmalm; Ulf Andreasson; Mikael K Gustavsson; Clas Malmeström; Jan Lycke; Kaj Blennow; Henrik Zetterberg; Niklas Mattsson
Journal:  Mult Scler       Date:  2012-10-15       Impact factor: 6.312

7.  In vivo CHI3L1 (YKL-40) expression in astrocytes in acute and chronic neurological diseases.

Authors:  Dafna Bonneh-Barkay; Guoji Wang; Adam Starkey; Ronald L Hamilton; Clayton A Wiley
Journal:  J Neuroinflammation       Date:  2010-06-11       Impact factor: 8.322

Review 8.  Frontotemporal dementia caused by CHMP2B mutations.

Authors:  A M Isaacs; P Johannsen; I Holm; J E Nielsen
Journal:  Curr Alzheimer Res       Date:  2011-05       Impact factor: 3.498

9.  Frontotemporal dementia caused by CHMP2B mutation is characterised by neuronal lysosomal storage pathology.

Authors:  Emma L Clayton; Sarah Mizielinska; James R Edgar; Troels Tolstrup Nielsen; Sarah Marshall; Frances E Norona; Miranda Robbins; Hana Damirji; Ida E Holm; Peter Johannsen; Jørgen E Nielsen; Emmanuel A Asante; John Collinge; Adrian M Isaacs
Journal:  Acta Neuropathol       Date:  2015-09-10       Impact factor: 17.088

10.  Cerebrospinal fluid neurogranin and YKL-40 as biomarkers of Alzheimer's disease.

Authors:  Shorena Janelidze; Joakim Hertze; Henrik Zetterberg; Maria Landqvist Waldö; Alexander Santillo; Kaj Blennow; Oskar Hansson
Journal:  Ann Clin Transl Neurol       Date:  2015-11-20       Impact factor: 4.511

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Authors:  Michael Benatar; Joanne Wuu; Vittoria Lombardi; Andreas Jeromin; Robert Bowser; Peter M Andersen; Andrea Malaspina
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3.  New directions in clinical trials for frontotemporal lobar degeneration: Methods and outcome measures.

Authors:  Adam L Boxer; Michael Gold; Howard Feldman; Bradley F Boeve; Susan L-J Dickinson; Howard Fillit; Carole Ho; Robert Paul; Rodney Pearlman; Margaret Sutherland; Ajay Verma; Stephen P Arneric; Brian M Alexander; Bradford C Dickerson; Earl Ray Dorsey; Murray Grossman; Edward D Huey; Michael C Irizarry; William J Marks; Mario Masellis; Frances McFarland; Debra Niehoff; Chiadi U Onyike; Sabrina Paganoni; Michael A Panzara; Kenneth Rockwood; Jonathan D Rohrer; Howard Rosen; Robert N Schuck; Holly D Soares; Nadine Tatton
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