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The frontotemporal dementia (FTD) spectrum of neurodegenerative disorders includes a heterogeneous group of conditions. However, following on from a series of important molecular studies in the early 2000s, major advances have now been made in the understanding of the pathological and genetic underpinnings of the disease. In turn, alongside the development of novel methodologies for measuring proteins and other molecules in biological fluids, the last 10 years have seen a huge increase in biomarker studies within FTD. This recent past has focused on attempting to develop markers that will help differentiate FTD from other dementias (particularly Alzheimer’s disease (AD)), as well as from non-neurodegenerative conditions such as primary psychiatric disorders. While cerebrospinal fluid, and more recently blood, markers of AD have been successfully developed, specific markers identifying primary tauopathies or TDP-43 proteinopathies are still lacking. More focus at the moment has been on non-specific markers of neurodegeneration, and in particular, multiple studies of neurofilament light chain have highlighted its importance as a diagnostic, prognostic and staging marker of FTD. As clinical trials get under way in specific genetic forms of FTD, measures of progranulin and dipeptide repeat proteins in biofluids have become important potential measures of therapeutic response. However, understanding of whether drugs restore cellular function will also be important, and studies of key pathophysiological processes, including neuroinflammation, lysosomal function and synaptic health, are also now becoming more common. There is much still to learn in the fluid biomarker field in FTD, but the creation of large multinational cohorts is facilitating better powered studies and will pave the way for larger omics studies, including proteomics, metabolomics and lipidomics, as well as investigations of multimodal biomarker combinations across fluids, brain imaging and other domains. Here we provide an overview of the past, present and future of fluid biomarkers within the FTD field.

In vitro studies of autosomal dominant Alzheimer’s disease implicate longer amyloid-β peptides in disease pathogenesis; however, less is known about the behaviour of these mutations in vivo. In this cross-sectional cohort study, we used liquid chromatography-tandem mass spectrometry to analyse 66 plasma samples from individuals who were at risk of inheriting a mutation or were symptomatic. We tested for differences in amyloid-β (Aβ)42:38, Aβ42:40 and Aβ38:40 ratios between presenilin 1 (PSEN1) and amyloid precursor protein (APP) carriers. We examined the relationship between plasma and in vitro models of amyloid-β processing and tested for associations with parental age at onset. Thirty-nine participants were mutation carriers (28 PSEN1 and 11 APP). Age- and sex-adjusted models showed marked differences in plasma amyloid-β between genotypes: higher Aβ42:38 in PSEN1 versus APP (P, O’Connor et al. reveal significant differences in plasma Aβ ratios between PSEN1 and APP carriers, broadening understanding of the molecular drivers of Alzheimer’s disease. They also show associations between higher Aβ42:40 and Aβ42:38 ratios and earlier disease onset, supporting the pathogenicity of these peptide ratios.

In-vitrostudies of autosomal dominant Alzheimer’s disease (ADAD) implicate longer Aβ peptides in pathogenesis, however less is known about the behaviour of ADAD mutationsin-vivo. In this cross-sectional cohort study, we used liquid chromatography-tandem mass spectrometry to analyse 66 plasma samples from ADAD family members who were at-risk of inheriting a mutation or were already symptomatic. We tested for differences in plasma Aβ42:38, 38:40 and 42:40 ratios betweenPresenilin1 (PSEN1)andAmyloid Precursor Protein (APP)carriers. We examined the relationship between plasma andin-vitromodels of Aβ processing and, amongPSEN1carriers, tested for associations with parental age at onset (AAO). 39 participants were mutation carriers (28PSEN1and 11APP).Age- and sex-adjusted models showed marked differences in plasma Aβ betweenAPPandPSEN1: higher Aβ42:38 inPSEN1versusAPP(pAPPversusPSEN1(pAPPandPSEN1compared to non-carriers (both pPSEN1, sex-adjusted models demonstrated negative associations between (i)Aβ42:40 (ii)Aβ42:38 and parental AAO.In-vivodifferences in Aβ processing betweenAPPandPSEN1provide insights into ADAD pathophysiology which can inform therapy development.

Background\ud \ud Outcomes are unpredictable for neurological presentations of Wilson's disease (WD). Dosing regimens for chelation therapy vary and monitoring depends on copper indices, which do not reflect end‐organ damage.\ud \ud \ud Objective\ud \ud To identify a biomarker for neurological involvement in WD.\ud \ud \ud Methods\ud \ud Neuronal and glial‐specific proteins were measured in plasma samples from 40 patients and 38 age‐matched controls. Patients were divided into neurological or hepatic presentations and those with recent neurological presentations or deterioration associated with non‐adherence were subcategorized as having active neurological disease. Unified WD Rating Scale scores and copper indices were recorded.\ud \ud \ud Results\ud \ud Unlike copper indices, neurofilament light (NfL) concentrations were higher in neurological than hepatic presentations. They were also higher in those with active neurological disease when controlling for severity and correlated with neurological examination subscores in stable patients.\ud \ud \ud Conclusion\ud \ud NfL is a biomarker of neurological involvement with potential use in guiding chelation therapy and clinical trials for novel treatments. © 2020 University College London. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

Blood biomarkers have great potential to advance clinical care and accelerate trials in Alzheimer’s disease (AD). Plasma phospho-tau181 (p-tau181) is a promising blood biomarker however, it is unknown if levels increase in presymptomatic AD. Therefore, we investigated the timing of p-tau181 changes using 153 blood samples from 70 individuals in a longitudinal study of familial AD (FAD). Plasma p-tau181 was measured, using an in-house single molecule array assay. We compared p-tau181 between symptomatic carriers, presymptomatic carriers, and non-carriers, adjusting for age and sex. We examined the relationship between p-tau181 and neurofilament light and estimated years to/from symptom onset (EYO), as well as years to/from actual onset in a symptomatic subgroup. In addition, we studied associations between p-tau181 and clinical severity, as well testing for differences between genetic subgroups. Twenty-four were presymptomatic carriers (mean baseline EYO −9.6 years) while 27 were non-carriers. Compared with non-carriers, plasma p-tau181 concentration was higher in both symptomatic (p

Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder characterized by frontal and temporal lobe atrophy, typically manifesting with behavioural or language impairment. Because of its heterogeneity and lack of available diagnostic laboratory tests there can be a substantial delay in diagnosis. Cell-free, circulating, microRNAs are increasingly investigated as biomarkers for neurodegeneration, but their value in FTD is not yet established. In this study, we investigate microRNAs as biomarkers for FTD diagnosis. We performed next generation small RNA sequencing on cell-free plasma from 52 FTD cases and 21 controls. The analysis revealed the diagnostic importance of 20 circulating endogenous miRNAs in distinguishing FTD cases from controls. The study was repeated in an independent second cohort of 117 FTD cases and 35 controls. The combinatorial microRNA signature from the first cohort, precisely diagnosed FTD samples in a second cohort. To further increase the generalizability of the prediction, we implemented machine learning techniques in a merged dataset of the two cohorts, which resulted in a comparable or improved classification precision with a smaller panel of miRNA classifiers. In addition, there are intriguing molecular commonalities with cell free miRNA signature in ALS, a motor neuron disease that resides on a pathological continuum with FTD. However, the signature that describes the ALS-FTD spectrum is not shared with blood miRNA profiles of patients with multiple sclerosis. Thus, microRNAs are promising FTD biomarkers that might enable earlier detection of FTD and improve accurate identification of patients for clinical trials