MAPT Mutations Research Articles

Disease progression models of familial frontotemporal lobar degeneration and the temporal ordering of biomarker changes in an international cohort

AbstractBackgroundClinical trials are underway to treat familial frontotemporal lobar degeneration (f‐FTLD). This is a rare disease, and a limited number of mutation carriers have been identified; thus, efficient trial design is critical. Multimodal, latent disease progression models (DPM) can estimate time to symptom onset and define the temporal ordering of biomarker changes. DPMs can also be leveraged to select endpoints and potentially supplement analyses by integrating historical data. Recent draft FDA guidance for gene therapy trials in neurological disease supports these novel approaches to clinical trials.MethodParticipants included 1,049 members of families affected by f‐FTLD, due to mutations in GRN, MAPT, or C9orf72 genes, who were enrolled in ALLFTD or GENFI. A Bayesian repeated measures model incorporated multimodal data to estimate disease progression, conditional on latent disease age (proximity to symptom onset), in 677 mutations carriers (GRN (n=233), MAPT (n=151) and C9orf72 (n=293)). Family members without pathogenic mutations were used as the reference group. Mean follow‐up was 1.1 (SD=1.1) years. Jointly modeled longitudinal variables included neuropsychological scores, CDR®+NACC‐FTLD Box Score, MRI volumes of brain regions affected by f‐FTLD, and plasma levels of neurofilament light chain (NfL).ResultDisease progression curves were similar across ALLFTD and GENFI cohorts. Plasma NfL elevations occurred earliest, up to 10 years before symptom onset, and NfL was the most powerful endpoint in the asymptomatic stage. MRI abnormalities occurred next, closer to symptom onset. The earliest MRI changes relative to symptom onset were observed in C9orf72+. GRN mutation carriers showed the most rapid acceleration in all biomarkers, and this acceleration occurred in close proximity to symptom onset. Neuropsychological measures and CDR®+NACC‐FTLD Box Score were among the most promising endpoints in the symptomatic stage. Trial simulations indicated that using latent disease age as an enrollment criterion would allow some asymptomatic mutation carriers to be enrolled without sacrificing power.ConclusionSimilarity in disease progression across ALLFTD and GENFI participants suggests these models will apply to international trials. Model‐derived estimates of disease progression curves indicate that endpoint selection should be specific to disease stage and mutation, and DPMs would facilitate greater participant enrollment.

NCRAD Family Study and NIA‐LOAD brain tissue: A NCRAD resource

Brain tissue is an invaluable resource for researchers investigating the pathological etiology and molecular basis of Alzheimer's disease (AD), but this resource is scarce and difficult to obtain compared to other types of biospecimens. The National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD) stores and distributes brain tissue to researchers to address this research gap.NCRAD stores fresh frozen, formalin fixed brain tissue collected from participants of the NCRAD Family Study, as well as the NIA Genetics Initiative/NIA-LOAD Family Based Study (FBS). Approved researchers can obtain tissue from NCRAD, and can also obtain access to genetic data for select subjects from the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS).The NCRAD Family Study brain tissue collection includes specimens from 249 subjects from 180 families. 65% of participants were female, the average age of death was 81.4 years, with an average age of dementia onset of 70.18 years for those with reported data. 199 subjects had confirmed or probable AD. 14 subjects had known pathogenic AD mutations in PS1, APP, MAPT, or PGRN. Currently, 186 subjects have been sent for RNA-sequencing, 123 have GWAS available through NIAGADS, and 71 have sequencing available through NIAGADS. NCRAD has sent DNA from an additional 125 subjects for GWAS and 170 for whole exome sequencing, which will be made available through NIAGADS. The NIA-LOAD FBS Study includes specimens from 87 subjects from 66 families. 57% of participants were female, the average age of death was 82.9 years, with an average age of dementia onset of 73.5 years. 81 subjects had definite or probable AD. 84 subjects have GWAS data, and 66 subjects have sequencing available through NIAGADS. Subjects from both studies have autopsy data available, including Braak stage, CERAD category, and Reagan category.The brain tissue and clinical information from both these studies are valuable resources for the AD research community, particularly as they are augmented by a growing collection of genetic data. NCRAD strongly encourages researchers to leverage these valuable resources to advance the state of knowledge regarding AD research and therapeutic development.

A data‐driven disease progression model of fluid biomarkers in genetic FTD

AbstractBackgroundSeveral fluid biomarkers for genetic frontotemporal dementia (FTD) have been proposed, including those reflecting neuroaxonal loss (neurofilament light chain (NfL) and phosphorylated neurofilament heavy chain (pNfH)), synapse dysfunction (neuronal pentraxin 2 (NPTX2)), gliosis (glial fibrillary acidic protein (GFAP)) and complement activation (C3b, C1q). Determining the sequence in which biomarkers become abnormal over the course of disease could facilitate disease staging in FTD and enable us to identify mutation carriers with prodromal or early‐stage FTD, which is especially important as pharmaceutical interventions emerge. We aimed to model the sequence of biomarker abnormalities in presymptomatic and symptomatic genetic FTD using cross‐sectional data from the Genetic Frontotemporal dementia Initiative (GENFI).Method276 presymptomatic and 142 symptomatic carriers of mutations in GRN, C9orf72 or MAPT, as well as 247 non‐carriers, were selected from the GENFI cohort based on availability of one or more of the aforementioned biomarkers. Nine presymptomatic carriers developed symptoms within 18 months of data collection (‘converters’). Sequences of biomarker abnormalities were modelled for the entire group using discriminative event‐based modelling (DEBM) and for each genetic subgroup using co‐initialized DEBM. These models estimate probabilistic biomarker abnormalities in a data‐driven way and do not rely on prior diagnostic information or biomarker cut‐off points. We estimated individual disease severity scores based on the position of subjects along the disease progression timeline through cross‐validation.ResultCerebrospinal fluid (CSF) NPTX2 was the first detectable abnormal biomarker, followed by blood and CSF NfL, blood GFAP, blood pNfH and finally CSF C1q and C3b (Fig. 1). Biomarker orderings did not differ significantly between genetic subgroups. Estimated disease severity scores (Fig. 2) could distinguish symptomatic from presymptomatic carriers and non‐carriers with areas under the curve (AUC) of 0.84 and 0.90 respectively. The AUC to distinguish converters from non‐converting presymptomatic carriers was 0.85.ConclusionIn our data‐driven disease progression models of genetic FTD, NPTX2 and NfL were the first biomarkers to become abnormal. Further research should focus on their utility as candidate selection tools for pharmaceutical trials. Estimating disease stages using DEBM could enable us to identify presymptomatic carriers approaching symptom onset and track the efficacy of therapeutic interventions.

Brain tissue transcriptome analysis for progressive supranuclear palsy disease.

Progressive supranuclear palsy (PSP) is an sporadic, uncommon neurological disorder. It is considered the second most frequent form of atypical parkinsonism. It is characterized by the presence of neurofibrillary tangles in the brainstem, basal ganglia, and cerebellum. Nowadays, there is no apparent trigger of this disease, many MAPT mutations related to the inclusion of exon 10 and environmental factors have been reported as significant risk factors, but much more remains to be elucidated. There exist a wide range of bioinformatics tools, and available microarray databases that could help us study dysregulated cellular and molecular processes leading usto find new therapeutic targets to test possible drugs METHOD: In this study, we seek online available transcriptomic profile data of confirmed PSP patients. We used ArrayExpress microarray dataset from medial temporal lobe (E-MEXP-2280). Raw data were processed and normalized in R system packages; differential expression analysis was performed with limma package, differentially expressed genes (DEGs) were selected with a adjusted p-value<0.05, and a logarithmic fold change greater than 0.5, and minor -0.5, and further functional enrichment analysis and KEGGp analysis were conducted with topGO and limma packages. After differential expression analysis we obtain a total of 640 differentially expressed genes, amount them, 382 were down regulated and 258 upregulated. We observed an increased up-regulated expression of genes related with developmental process, glutamatergic synapse, and transcription activity. And down-regulation of genes related to mRNA processing, endoplasmic reticulum, and extracellular exosome. Our results agree with previous reports, where elevated brain glutamate levels have been found in several brain sites in PSP; also endoplasmic reticulum dysregulated unfolded protein response has been related with PSP pathology. Furthermore, we observe a marked dysregulation of genes involved in mRNA processing, this agrees with previous reports were RNA splicing and RNA binding proteins could be playing an essential physiopathological role in the progression of some tauopathies. We propose that these DEGs could be useful as new biomarkers and possible therapeutic targets for PSP.

Presymptomatic and symptomatic MAPT mutation carriers feature functional connectivity alterations

AbstractBackgroundClinical trials for tauopathies require novel biomarkers for disease detection and monitoring. One previous study found functional connectivity (FC) alterations in presymptomatic (preSx) MAPT mutation carriers (Whitwell et al., 2011), yet studies have not examined FC networks along the MAPT disease continuum. We hypothesized that both symptomatic (Sx) and preSx MAPT mutation carriers would show FC alterations compared to healthy controls (HC).MethodLeveraging task‐free fMRI data from the UCSF Memory and Aging Center and the ARTFL/LEFFTDS Consortia (Boeve et al., 2019), we compared 14 Sx and 33 preSx to 80 HC to characterize their FC profiles. Using a seed‐based approach, we studied FC within networks associated with different MAPT clinical syndromes (i.e., salience network [SN] for behavioral variant frontotemporal dementia, default mode network [DMN] for Alzheimer’s‐like amnestic syndrome, corticobasal syndrome [CBS] and progressive supranuclear palsy [PSP] networks). Complementing the seed‐based approach, we next calculated whole‐brain intra‐/inter‐network FC matrices for 14 networks (Brown et al., 2019), and applied K‐means clustering to assess whether preSx displayed heterogeneous connectivity profiles. ComBat was applied to harmonize multi‐site imaging data (Fortin et al., 2017, 2018). Thresholding was set at a joint height and extent threshold of p&lt;0.05 (uncorrected) with age, sex, education and handedness as nuisance covariates.ResultCompared to HC, Sx featured disrupted FC within key hubs of all four networks, and regions of cerebellar and pontine hyperconnectivity within CBS and PSP networks. As seen in Sx vs. HC, preSx had similar anatomical patterns of SN/CBS network hypoconnectivity and CBS/PSP network hyperconnectivity vs. HC. In contrast to Sx, who had DMN disruption, preSx showed DMN hyperconnectivity vs. HC.Whole‐brain analyses revealed that Sx had disrupted intra‐/inter‐network FC in networks involving the insula/anterior temporal lobe. Clustering analysis identified two preSx subgroups. Compared to HC, preSx1 principally had disrupted FC across networks including those disrupted in Sx, whereas preSx2 mainly demonstrated hyperconnectivity.ConclusionSx and preSx both demonstrated robust FC alterations. Future studies will investigate whether the preSx subgroup whose whole‐brain FC was similar to Sx in that it showed principally FC disruption may be at greater risk for imminent symptom conversion and/or neurodegeneration.

Caspase inhibition mitigates tau cleavage and neurotoxicity in iPSC‐induced neurons with the V337M MAPT mutation

Tau post-translational modifications (PTMs) are associated with progressive tau accumulation and neuronal loss in tauopathies, including forms of frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). Proteolytic cleavage of tau by active caspases, including caspase-6, represents an underexplored tau PTM implicated in tau pathology by generating tau species with an enhanced propensity for self-aggregation and accumulation into neuronal cytoplasmic inclusions. To elucidate the presence and temporal course of caspase activation, tau cleavage, and neuronal death, we generated two neoepitope monoclonal antibodies (mAbs) against caspase-6 tau proteolytic sites (D13 and D402) and cortical neurons (iNs) from induced pluripotent stem cells (iPSCs) with the frontotemporal dementia (FTD)-causing V337MMAPTmutation (tauV337M ). FTLD tauV337M and AD postmortem brains showed positivity for both cleaved tau mAbs as well as active caspase-6 (Fig. 1). Three month tauV337M iNs showed a three-fold increase in caspase-cleaved D402 and D13 tau protein levels and increased p-tau and oligomeric tau species compared to controls (Fig. 2). Three month tauV337M iNs also showed a significantly higher rate of neuronal death than the tauWT counterpart. Treatment with staurosporine (STS), a stress inducer, led to a 5-fold increase of cytotoxicity levels in STS-treated tauV337M iNs compared to vehicle-treated tauV337M iNs. Although STS-induced cytotoxicity was anticipated, the increase was significantly higher in STS-treated tauV337M iNs than in STS-treated control iNs. Similarly, we observed a 4-fold increase of caspase-6 activity in STS-treated tauV337M iNs compared to vehicle-treated tauV337M iNs that was reversed following co-treatment with the caspase-6 inhibitor z-VEID-fmk (Fig. 2). We propose a model in which time-dependent accumulation of caspase-cleaved tau in V337MMAPTneurons promotes neurotoxicity that is reversed by caspase-6 inhibition. Caspase-cleaved tau may be a biomarker of tauopathy, and caspases could be viable targets for therapeutic intervention against tau pathogenesis in FTLD and other tauopathies.

Detecting clinical progression from abnormal regional brain volumes at baseline in genetic frontotemporal dementia: A GENFI study

AbstractBackgroundGenetic frontotemporal dementia is highly heterogeneous, with different progression patterns seen between individuals. Using in vivo MR images from the Genetic FTD Initiative (GENFI), we aimed to identify clinical progression in genetic mutation carriers from their brain volumes at baseline.MethodCortical and subcortical volumes of interest (VOIs) were generated using automated parcellation methods on volumetric 3T T1‐weighted MRI scans for 480 carriers (198 GRN, 202 C9orf72, 80 MAPT). W‐scores for 79 VOIs were computed from a linear regression model carried out on 298 non‐carrier cognitively normal controls adjusting for the effect of age, sex, total intracranial volume and scanner type. Carriers were divided into three disease stages based on their global CDR® plus NACC FTLD score (CDR‐GS): asymptomatic (0), possibly or mildly symptomatic (0.5) and fully symptomatic (1 or more). Cut‐off points for each VOI were derived from Youden indices estimated with ROC curves to distinguish between CDR‐GS=0 and CDR‐GS≥1 within each gene. CDR‐GS=0.5 carriers (30 GRN, 32 C9orf72, 13 MAPT) were classified as ‘normal’ or ‘abnormal’ based on these cut‐off points. We compared the CDR® plus NACC FTLD sum‐of‐boxes scores (CDR‐SOB) at one year follow‐up in these two groups.ResultCompared to those with normal baseline volumes, C9orf72 expansion carriers at CDR‐GS=0.5 showed significantly higher CDR‐SOB scores at follow‐up if they had abnormal volumes in the total frontal (+5 points), orbitofrontal (+3), dorsolateral prefrontal (+6), or anterior cingulate (+4) cortices, the basal‐paralaminar amygdala region (+2), CA1 region of the hippocampus (+4), total hippocampus (+6), cerebellar lobule VIIIb (+4), or lateral ventricles (+8). GRN mutation carriers showed significantly higher CDR‐SOB scores if their volumes were abnormal in the frontal (+10), parietal (+14), insula (+8), orbitofrontal (+12), or medial parietal (+7) cortices, or the total hippocampus (+10). MAPT mutation carriers with abnormal volumes in the lobule VI and dentate nucleus had 1 point higher CDR‐SOB scores at follow‐up.ConclusionAbnormal baseline volumes in specific VOI within each of the genetic groups were related to worse CDR‐SOB scores over time. Future studies including longer follow‐up intervals and other longitudinal biomarkers are needed to explore this further.

Mitochondrial Defects in Fibroblasts of Pathogenic MAPT Patients.

Mutations in MAPT gene cause multiple neurological disorders, including frontal temporal lobar degeneration and parkinsonism. Increasing evidence indicates impaired mitochondrial homeostasis and mitophagy in patients and disease models of pathogenic MAPT. Here, using MAPT patients’ fibroblasts as a model, we report that disease-causing MAPT mutations compromise early events of mitophagy. By employing biochemical and mitochondrial assays we discover that upon mitochondrial depolarization, the recruitment of LRRK2 and Parkin to mitochondria and degradation of the outer mitochondrial membrane protein Miro1 are disrupted. Using high resolution electron microscopy, we reveal that the contact of mitochondrial membranes with ER and cytoskeleton tracks is dissociated following mitochondrial damage. This membrane dissociation is blocked by a pathogenic MAPT mutation. Furthermore, we provide evidence showing that tau protein, which is encoded by MAPT gene, interacts with Miro1 protein, and this interaction is abolished by pathogenic MAPT mutations. Lastly, treating fibroblasts of a MAPT patient with a small molecule promotes Miro1 degradation following depolarization. Altogether, our results show molecular defects in a peripheral tissue of patients and suggest that targeting mitochondrial quality control may have a broad application for future therapeutic intervention.

P.014 A Novel Canadian Family with the Rare IVS10+14 Tau Mutation

Background: The IVS10+14 mutation in the microtubule-associated protein tau gene, MAPT, is a rare point mutation that dysregulates tau splicing resulting in pathological aggregation. This mutation has been identified in three families with severe neurodegenerative disease. We characterized the clinicopathological features of a fourth, Canadian family with the IVS10+14 MAPT mutation and compared them to previously reported families. Methods: Clinical and neuropathological records from three family members with the IVS10+14 MAPT mutation were reviewed. Neuropathological section from one available case were analyzed. Results: Considerable interfamilial phenotypic heterogeneity is reported in all cohorts that express the IVS10+14 MAPT mutation, with prominent motor, cognitive, behavioural, and respiratory symptoms. The Canadian cohort also expressed profound sensory and sleep abnormalities, not reported previously. In the two siblings with available neuropathological records, neuropathological changes ranged from mild to severe. Conclusions: All families expressing the IVS10+14 MAPT mutation display striking inter- and intrafamilial clinical and neuropathologic phenotypic variability. Our cohort adds sensory and sleep abnormalities as potential symptoms and illustrates a lack of clear clinicopathological correlates for these heterogenous symptoms. Reference: Maxwell et al. 2021. Clinical and Neuropathological Variability in the Rare IVS10+14 Tau Mutation. Neurobiology of Aging. In Press. DOI: 10.1016/j.neurobiolaging.2021.01.004.

Unraveling the Gordian knot: genetics and the troubled road to effective therapeutics for Alzheimer's disease.

In the late 20th century, identification of the major protein components of amyloid plaques and neurofibrillary tangles provided a window into the molecular pathology of Alzheimer’s disease, ushering in an era of optimism that targeted therapeutics would soon follow. The amyloid-cascade hypothesis took hold very early, supported by discoveries that dominant mutations in APP, PSEN1, and PSEN2 cause the very rare, early-onset, familial forms of the disease. However, in the past decade, a stunning series of failed Phase-3 clinical trials, testing anti-amyloid antibodies or processing-enzyme inhibitors, prompts the question, What went wrong? The FDA’s recent controversial approval of aducanumab, despite widespread concerns about efficacy and safety, only amplifies the question. The assumption that common, late-onset Alzheimer’s is a milder form of familial disease was not adequately questioned. The differential timing of discoveries, including blood–brain–barrier-penetrant tracers for imaging of plaques and tangles, made it easy to focus on amyloid. Furthermore, the neuropathology community initially implemented Alzheimer’s diagnostic criteria based on plaques only. The discovery that MAPT mutations cause frontotemporal dementia with tauopathy made it even easier to overlook the tangles in Alzheimer’s. Many important findings were simply ignored. The accepted mouse models did not predict the human clinical trials data. Given this lack of pharmacological validity, input from geneticists in collaboration with neuroscientists is needed to establish criteria for valid models of Alzheimer’s disease. More generally, scientists using genetic model organisms as whole-animal bioassays can contribute to building the pathogenesis network map of Alzheimer’s disease.

Differential Lipid Mediator Involvement in the Different Forms of Genetic Frontotemporal Dementia: Novel Insights into Neuroinflammation.

The pathophysiology of frontotemporal dementia (FTD) is poorly understood but recent studies implicate neuroinflammation as an important factor. However, little is known so far about the role of the resolution pathway, the response to inflammation that allows tissue to return to a homeostatic state. We aimed to measure the concentrations of lipid mediators including specialized proresolving mediators (SPMs) and proinflammatory eicosanoids in the cerebrospinal fluid (CSF) of people with FTD. 15 people with genetic FTD (5 with C9orf72 expansions, 5 with GRN mutations, and 5 with MAPT mutations) were recruited to the study along with 15 age- and sex-matched healthy controls. Targeted liquid chromatography-tandem mass spectrometry techniques were used to measure the CSF concentrations of lipid mediators in the docosahexaenoic acid (DHA), n-3 docosapentaenoic acid, eicosapentaenoic acid, and arachidonic acid (AA) metabolomes. Only the C9orf72 expansion carriers had higher concentrations of SPMs (DHA-derived maresins and DHA-derived resolvins) compared with controls. In contrast, GRN and MAPT mutation carriers had normal concentrations of SPMs but significantly higher concentrations of the proinflammatory AA-derived leukotrienes and AA-derived thromboxane compared with controls. Additionally, the C9orf72 expansion carriers also had significantly higher concentrations of AA-derived leukotrienes. This initial pilot study of lipid mediators provides a window into a novel biological pathway not previously investigated in FTD, showing differential patterns of alterations between those with C9orf72 expansions (where SPMs are higher) and GRN and MAPT mutations (where only proinflammatory eicosanoids are higher).

Human Tau Isoforms and Proteolysis for Production of Toxic Tau Fragments in Neurodegeneration.

The human tau protein is implicated in a wide range of neurodegenerative “tauopathy” diseases, consisting of Alzheimer’s disease (AD) and frontotemporal lobar degeneration which includes progressive supranuclear palsy, corticobasal degeneration, Pick’s disease, and FTLD-tau (frontotemporal dementia with parkinsonism caused by MAPT mutations). Tau gene transcripts in the human brain undergo alternative splicing to yield 6 different tau protein isoforms that are expressed in different ratios in neurodegeneration which result in tau pathology of paired-helical filaments, neurofibrillary tangles, and tau fibrillar aggregates with detrimental microtubule destabilization. Protease-mediated tau truncation is an important post-translational modification (PTM) which drives neurodegeneration in a tau fragment-dependent manner. While numerous tau fragments have been identified, knowledge of the proteolytic steps that convert each parent tau isoform into specific truncated tau fragments has not yet been fully defined. An improved understanding of the relationships between tau isoforms and their proteolytic processing to generate neurotoxic tau fragments is important to the field. This review evaluates tau isoform expression patterns including PTMs and mutations that influence proteolysis of tau to generate toxic fragments that drive cognitive deficits in AD and other tauopathy models. This assessment identifies the gap in the field on understanding the details of proteolytic steps used to convert each tau isoform into fragments. Knowledge of the processing mechanisms of tau isoforms can lead to new protease targeted drug strategies to prevent the formation of toxic tau fragments in tauopathy neurodegenerative diseases.

18F-MK-6240 tau-PET in genetic frontotemporal dementia.

Tau is one of several proteins associated with frontotemporal dementia. While knowing which protein is causing a patient’s disease is crucial, no biomarker currently exists for identifying tau in vivo in frontotemporal dementia. The objective of this study was to investigate the potential for the promising 18F-MK-6240 PET tracer to bind to tau in vivo in genetic frontotemporal dementia.We enrolled subjects with genetic frontotemporal dementia, who constitute an ideal population for testing because their pathology is already known based on their mutation. Ten participants (three with symptomatic P301L and R406W MAPT mutations expected to show tau binding, three with presymptomatic MAPT mutations and four with non-tau mutations who acted as disease controls) underwent clinical characterization, tau-PET scanning with 18F-MK-6240, amyloid-PET imaging with 18F-NAV-4694 to rule out confounding Alzheimer’s pathology, and high-resolution structural MRI.Tau-PET scans of all three symptomatic MAPT carriers demonstrated at least mild 18F-MK-6240 binding in expected regions, with particularly strong binding in a subject with an R406W MAPT mutation (known to be associated with Alzheimer’s like neurofibrillary tangles). Two asymptomatic MAPT carriers estimated to be 5 years from disease onset both showed modest 18F-MK-6240 binding, while one ∼30 years from disease onset did not exhibit any binding. Additionally, four individuals with symptomatic frontotemporal dementia caused by a non-tau mutation were scanned (two C9orf72; one GRN; one VCP): 18F-MK-6240 scans were negative for three subjects, while one advanced C9orf72 case showed minimal regionally non-specific binding. All 10 amyloid-PET scans were negative. Furthermore, a general linear model contrasting genetic frontotemporal dementia subjects to a set of 83 age-matched controls showed significant binding only in the MAPT carriers in selected frontal, temporal and subcortical regions.In summary, our findings demonstrate mild but significant binding of MK-6240 in amyloid-negative P301L and R406W MAPT mutation subjects, with higher standardized uptake value ratio in the R406W mutation associated with the presence of NFTs, and little non-specific binding. These results highlight that a positive 18F-MK-6240 tau-PET does not necessarily imply a diagnosis of Alzheimer’s disease and point towards a potential use for 18F-MK-6240 as a biomarker in certain tauopathies beyond Alzheimer’s, although further patient recruitment and autopsy studies will be necessary to determine clinical applicability.

A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia.

Several CSF and blood biomarkers for genetic frontotemporal dementia have been proposed, including those reflecting neuroaxonal loss (neurofilament light chain and phosphorylated neurofilament heavy chain), synapse dysfunction [neuronal pentraxin 2 (NPTX2)], astrogliosis (glial fibrillary acidic protein) and complement activation (C1q, C3b). Determining the sequence in which biomarkers become abnormal over the course of disease could facilitate disease staging and help identify mutation carriers with prodromal or early-stage frontotemporal dementia, which is especially important as pharmaceutical trials emerge. We aimed to model the sequence of biomarker abnormalities in presymptomatic and symptomatic genetic frontotemporal dementia using cross-sectional data from the Genetic Frontotemporal dementia Initiative (GENFI), a longitudinal cohort study.Two-hundred and seventy-five presymptomatic and 127 symptomatic carriers of mutations in GRN, C9orf72 or MAPT, as well as 247 non-carriers, were selected from the GENFI cohort based on availability of one or more of the aforementioned biomarkers. Nine presymptomatic carriers developed symptoms within 18 months of sample collection (‘converters’). Sequences of biomarker abnormalities were modelled for the entire group using discriminative event-based modelling (DEBM) and for each genetic subgroup using co-initialized DEBM. These models estimate probabilistic biomarker abnormalities in a data-driven way and do not rely on previous diagnostic information or biomarker cut-off points. Using cross-validation, subjects were subsequently assigned a disease stage based on their position along the disease progression timeline.CSF NPTX2 was the first biomarker to become abnormal, followed by blood and CSF neurofilament light chain, blood phosphorylated neurofilament heavy chain, blood glial fibrillary acidic protein and finally CSF C3b and C1q. Biomarker orderings did not differ significantly between genetic subgroups, but more uncertainty was noted in the C9orf72 and MAPT groups than for GRN. Estimated disease stages could distinguish symptomatic from presymptomatic carriers and non-carriers with areas under the curve of 0.84 (95% confidence interval 0.80–0.89) and 0.90 (0.86–0.94) respectively. The areas under the curve to distinguish converters from non-converting presymptomatic carriers was 0.85 (0.75–0.95).Our data-driven model of genetic frontotemporal dementia revealed that NPTX2 and neurofilament light chain are the earliest to change among the selected biomarkers. Further research should investigate their utility as candidate selection tools for pharmaceutical trials. The model’s ability to accurately estimate individual disease stages could improve patient stratification and track the efficacy of therapeutic interventions.

Proteomics of autism and Alzheimer\u2019s mouse models reveal common alterations in mTOR signaling pathway

Autism spectrum disorder (ASD) and Alzheimer’s disease (AD) are two different neurological disorders that share common clinical features, such as language impairment, executive functions, and motor problems. A genetic convergence has been proposed as well. However, the molecular mechanisms of these pathologies are still not well understood. Protein S-nitrosylation (SNO), the nitric oxide (NO)-mediated posttranslational modification, targets key proteins implicated in synaptic and neuronal functions. Previously, we have shown that NO and SNO are involved in the InsG3680(+/+) ASD and P301S AD mouse models. Here, we performed large-scale computational biology analysis of the SNO-proteome followed by biochemical validation to decipher the shared mechanisms between the pathologies. This analysis pointed to the mammalian target of rapamycin complex 1 (mTORC1) signaling pathway as one of the shared molecular mechanisms. Activation of mTOR in the cortex of both mouse models was confirmed by western blots that showed increased phosphorylation of RPS6, a major substrate of mTORC1. Other molecular alterations affected by SNO and shared between the two mouse models, such as synaptic-associated processes, PKA signaling, and cytoskeleton-related processes were also detected. This is the first study to decipher the SNO-related shared mechanisms between SHANK3 and MAPT mutations. Understanding the involvement of SNO in neurological disorders and its intersection between ASD and AD might help developing an effective novel therapy for both neuropathologies.

Does the Anti-Tau Strategy in Progressive Supranuclear Palsy Need to Be Reconsidered? No.

Does the Anti-Tau Strategy in Progressive Supranuclear Palsy Need to Be Reconsidered? No.

Spotlight on the August 31 Issue

#### Notable in Neurology This Week This issue features an article that investigates the clinical effect of renal impairment on intracerebral hemorrhage; another examines neuroanatomical signatures of MAPT mutation carriers to determine whether there are distinct groups. A featured Review compares 2 long-read sequencing technologies and discusses how they can be applied to neurodegenerative diseases. ### Effects of High- and Low-Efficacy Therapy in Secondary Progressive Multiple Sclerosis ![Graphic][1]</img> This study compares the clinical effectiveness of high- and low-efficacy treatments for patients with secondary progressive multiple sclerosis (SPMS). Accounting for therapeutic lag, researchers found … [1]: /embed/inline-graphic-1.gif

Evolving concepts in progressive supranuclear palsy and other 4-repeat tauopathies.

Tauopathies are classified according to whether tau deposits predominantly contain tau isoforms with three or four repeats of the microtubule-binding domain. Those in which four-repeat (4R) tau predominates are known as 4R-tauopathies, and include progressive supranuclear palsy, corticobasal degeneration, argyrophilic grain disease, globular glial tauopathies and conditions associated with specific MAPT mutations. In these diseases, 4R-tau deposits are found in various cell types and anatomical regions of the brain and the conditions share pathological, pathophysiological and clinical characteristics. Despite being considered 'prototype' tauopathies and, therefore, ideal for studying neuroprotective agents, 4R-tauopathies are still severe and untreatable diseases for which no validated biomarkers exist. However, advances in research have addressed the issues of phenotypic overlap, early clinical diagnosis, pathophysiology and identification of biomarkers, setting a road map towards development of treatments. New clinical criteria have been developed and large cohorts with early disease are being followed up in prospective studies. New clinical trial readouts are emerging and biomarker research is focused on molecular pathways that have been identified. Lessons learned from failed trials of neuroprotective drugs are being used to design new trials. In this Review, we present an overview of the latest research in 4R-tauopathies, with a focus on progressive supranuclear palsy, and discuss how current evidence dictates ongoing and future research goals.

MAPT R406W increases tau T217 phosphorylation in absence of amyloid pathology.

ObjectiveTau hyperphosphorylation at threonine 217 (pT217) in cerebrospinal fluid (CSF) has recently been linked to early amyloidosis and could serve as a highly sensitive biomarker for Alzheimer’s disease (AD). However, it remains unclear whether other tauopathies induce pT217 modifications. To determine if pT217 modification is specific to AD, CSF pT217 was measured in AD and other tauopathies.MethodsUsing immunoprecipitation and mass spectrometry methods, we compared CSF T217 phosphorylation occupancy (pT217/T217) and amyloid‐beta (Aβ) 42/40 ratio in cognitively normal individuals and those with symptomatic AD, progressive supranuclear palsy, corticobasal syndrome, and sporadic and familial frontotemporal dementia.ResultsIndividuals with AD had high CSF pT217/T217 and low Aβ42/40. In contrast, cognitively normal individuals and the majority of those with 4R tauopathies had low CSF pT217/T217 and normal Aβ 42/40. We identified a subgroup of individuals with increased CSF pT217/T217 and normal Aβ 42/40 ratio, most of whom were MAPT R406W mutation carriers. Diagnostic accuracies of CSF Aβ 42/40 and CSF pT217/T217, alone and in combination were compared. We show that CSF pT217/T217 × CSF Aβ 42/40 is a sensitive composite biomarker that can separate MAPT R406W carriers from cognitively normal individuals and those with other tauopathies.InterpretationMAPT R406W is a tau mutation that leads to 3R+4R tauopathy similar to AD, but without amyloid neuropathology. These findings suggest that change in CSF pT217/T217 ratio is not specific to AD and might reflect common downstream tau pathophysiology common to 3R+4R tauopathies.

ELAVL4, splicing, and glutamatergic dysfunction precede neuron loss in MAPT mutation cerebral organoids

Frontotemporal dementia (FTD) because of MAPT mutation causes pathological accumulation of tau and glutamatergic cortical neuronal death by unknown mechanisms. We used human induced pluripotent stem cell (iPSC)-derived cerebral organoids expressing tau-V337M and isogenic corrected controls to discover early alterations because of the mutation that precede neurodegeneration. At 2months, mutant organoids show upregulated expression of MAPT, glutamatergic signaling pathways, and regulators, including the RNA-binding protein ELAVL4, and increased stress granules. Over the following 4months, mutant organoids accumulate splicing changes, disruption of autophagy function, and build-up of tau and P-tau-S396. By 6months, tau-V337M organoids show specific loss of glutamatergic neurons as seen in individuals with FTD. Mutant neurons are susceptible to glutamate toxicity, which can be rescued pharmacologically by the PIKFYVE kinase inhibitor apilimod. Our results demonstrate a sequence of events that precede neurodegeneration, revealing molecular pathways associated with glutamate signaling as potential targets for therapeutic intervention in FTD.