Focal anterior temporal lobe (ATL) degeneration often preferentially affects the left or right hemisphere. While patients with left-predominant ATL (lATL) atrophy show severe anomia and verbal semantic deficits and meet criteria for semantic variant primary progressive aphasia (svPPA) and semantic dementia, patients with early right ATL (rATL) atrophy are more difficult to diagnose as their symptoms are less well understood. Focal rATL atrophy is associated with prominent emotional and behavioral changes, and patients often meet, or go on to meet, criteria for behavioral variant frontotemporal dementia (bvFTD). Uncertainty around early symptoms and absence of an overarching clinicoanatomical framework continue to hinder proper diagnosis and care of patients with rATL disease. Here, we examine a large, well-characterized, longitudinal cohort of patients with rATL-predominant degeneration and propose new criteria and nosology. We identified individuals from our database with a clinical diagnosis of bvFTD or svPPA and a structural MRI (n = 478). Based on neuroimaging criteria, we defined three patient groups: rATL-predominant atrophy with relative sparing of the frontal lobes (n = 46), frontal-predominant atrophy with relative sparing of the rATL (n = 79), and lATL-predominant atrophy with relative sparing of the frontal lobes (n = 75). We compared the clinical, neuropsychological, genetic, and pathological profiles of these groups. In the rATL-predominant group, the earliest symptoms were loss of empathy (27%), person-specific semantic impairment (23%), and complex compulsions and rigid thought process (18%). On testing, this group exhibited greater impairments in Emotional Theory of Mind, recognition of famous people (from names and face), and facial affect naming (despite preserved face perception) than the frontal- and lATL-predominant groups. The clinical symptoms in the first three years of the disease alone were highly sensitive (81%) and specific (84%) differentiating rATL-predominant from frontal-predominant groups. FTLD-TDP (84%) was the most common pathology of the rATL-predominant group. rATL-predominant degeneration is characterized by early loss of empathy and person-specific knowledge, deficits that are caused by progressive decline in semantic memory for concepts of socioemotional relevance. Guided by our results, we outline new diagnostic criteria and propose the name, “semantic behavioral variant frontotemporal dementia” (sbvFTD), which highlights the underlying cognitive mechanism and the predominant symptomatology. These diagnostic criteria will facilitate early identification and care of patients with early, focal rATL degeneration as well as in vivo prediction of FTLD-TDP pathology.

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Background Over the past several decades, treatment development for Alzheimer’s disease (AD) has been largely focused on modifying amyloid‐beta (Aβ), but no drugs that modify the pathophysiological processes underlying the disease have been FDA approved; it is therefore possible that Aβ may not be the optimal target for treating AD. The NIA‐AA consortium has proposed the use of amyloid, tau, and neurodegenerative (A/T/N) biomarkers in diagnosis and treatment of AD. However, it remains unclear whether each arm of the A/T/N framework has an equally weighted contribution to the progression of AD or rather a stage‐dependent importance to AD development. Methods Here we use random forest, a machine learning algorithm, in participants from the ADNI dataset (Table 1) to predict AD cognitive decline using integrated biomarkers from the A/T/N framework: Aβ‐PET, CSF‐pTau, and FDG‐PET and MRI‐Structural, respectively (Table 2). We chose random forest for its high prediction accuracy and interpretability. We also analyzed the relationship between A/T/N biomarkers and memory composite and executive functioning composite scores. Results We show that the A/T/N biomarkers have stage‐dependent importance to AD development, with Aβ and phosphorylated‐tau (pTau) better predicting early dementia status (i.e. mild cognitive impairment) and neurodegeneration, especially low glucose uptake, better predicting later dementia status (i.e. clinical AD) (Table 3). We show a similar pattern when correlating markers to performance on memory and executive functioning tests. Conclusions Our results provide evidence that AD treatments may need to be stage‐oriented to match the natural disease progression. (Figure 1) Aβ and tau may be appropriate targets early in the disease course, but brain metabolic restoration should be explored as a treatment target later on in the disease process.

Research in Context Systematic ReviewAuthors reviewed relevant literature using PubMed and Google Scholar. Key studies that generated and validated polygenic risk scores (PRS) for clinical and pathologic AD were cited. PRS scores have been increasingly used in the literature but clinical utility continues to be questioned. InterpretationIn the current research landscape concerning PRS clinical utility in the AD space, there is room for model improvement and our hypothesis was that a PRS with integrated risk for AD biomarkers could yield a better model for cognitive decline. Future DirectionsThis study serves as proof-of-concept that encourages future study of integrated PRS across disease markers and utility in taking an A/T/N (amyloidosis, tauopathy and neurodegeneration) focused approach to genetic risk for cognitive decline and AD. Abstract INTRODUCTION: We developed a novel polygenic risk score (PRS) based on the A/T/N (amyloid plaques (A), phosphorylated tau tangles (T), and neurodegeneration (N)) framework and compared a PRS based on clinical AD diagnosis to assess which was a better predictor of cognitive decline. METHODS: We used summary statistics from genome wide association studies of cerebrospinal fluid amyloid-β (Aβ42) and phosphorylated-tau (ptau181), left hippocampal volume (LHIPV), and late-onset AD dementia to calculate PRS for 1181 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Individual PRS were averaged to generate a composite A/T/N PRS. We assessed the association of PRS with baseline and longitudinal cognitive composites of executive function and memory. RESULTS: The A/T/N PRS showed superior predictive performance on AD biomarkers and executive function decline compared to the clinical AD PRS. DISCUSSION: Results suggest that integration of genetic risk across AD biomarkers may improve prediction of disease progression. Boldface indicates P < 0.05. *P<1.25E-03 Bonferroni threshold. N=1,182 unless noted otherwise. No APOE denotes PRS excluding APOE region results. NC/MCI and NC indicate sensitivity analysis results with the denoted diagnostic groups (as assessed at baseline).

Chronic microglia activation post-stroke is associated with worse neurological and cognitive outcomes. However, measurement of microglia activation in vivo is currently limited. Plasma derived extracellular vesicles (EVs) are cell-specific indicators that may allow for non-invasive measurement of microglia phenotype. The aim of this study was to identify activation-state specific microglia EVs (MEVs) in vitro followed by validation in an experimental stroke model. Following pro-inflammatory activation, MEVs contain the microglia protein TMEM119 alongside increased expression of the Toll-like receptor 4 co-receptor CD14. Immunoprecipitation followed by fluorescent nanoparticle tracking analysis (ONI Nanoimager) was used to confirm the isolation of TMEM119+/CD14+ EVs from rat plasma. Electron microscopy confirmed that TMEM119 and CD14 localize to the MEV membrane. To model ischemia, plasma was collected from 3-month wildtype Fischer344 rats prior to, 7 and 28 days after endothelin-1 or saline injection into the dorsal right striatum. Fluorescently labelled MEVs were directly measured in the plasma using nanoflow cytometry (Apogee A60 Microplus). We report a significant increase in circulating TMEM119+/CD14+ EVs 28-days post-stroke in comparison to baseline levels and saline-injected rats, which correlated weakly with stroke volume. TMEM119+/MHC-II+ EVs were also increased post-stroke in comparison to baseline and saline-injected animals. This study is the first to describe an EV biomarker of activated microglia detected directly in plasma following stroke and represents a future tool for the measurement of microglia activity in vivo.

BackgroundChronic demyelination is a major contributor to axonal vulnerability in multiple sclerosis (MS). Therefore, remyelination could provide a potent neuroprotective strategy. The ReBUILD trial was the first study showing evidence for successful remyelination following treatment with clemastine in people with MS (pwMS) with no evidence of disease activity or progression (NEDAP). Whether remyelination was associated with neuroprotection remains unexplored.MethodsPlasma neurofilament light chain (NfL) levels were measured from ReBUILD trial’s participants. Mixed linear effect models were fit for individual patients, epoch and longitudinal measurements to compare NfL concentrations between samples collected during the active and placebo treatment period.ResultsNfL concentrations were 9.6% lower in samples collected during the active treatment with clemastine (n=53, geometric mean=6.33 pg/mL) compared to samples collected during treatment with placebo (n=73, 7.00 pg/mL) (B=−0.035 [−0.068 to −0.001], p=0.041). Applying age- and body mass index-standardised NfL Z-scores and percentiles revealed similar results (0.04 vs 0.35, and 27.5 vs 33.3, p=0.023 and 0.042, respectively). Higher NfL concentrations were associated with more delayed P100 latencies (B=1.33 [0.26 to 2.41], p=0.015). In addition, improvement of P100 latencies between visits was associated with a trend for lower NfL values (B=0.003 [−0.0004 to 0.007], p=0.081). Based on a Cohen’s d of 0.248, a future 1:1 parallel-arm placebo-controlled study using a remyelinating agent with comparable effect as clemastine would need 202 subjects per group to achieve 80% power.ConclusionsIn pwMS, treatment with the remyelinating agent clemastine was associated with a reduction of blood NfL, suggesting that neuroprotection is achievable and measurable with therapeutic remyelination.Trial registration numberNCT02040298.

Cerebral small vessel disease (CSVD) has emerged as a common factor driving age-dependent diseases, including stroke and dementia. CSVD-related dementia will affect a growing fraction of the aging population, requiring improved recognition, understanding, and treatments. This review describes evolving criteria and imaging biomarkers for the diagnosis of CSVD-related dementia. We describe diagnostic challenges, particularly in the context of mixed pathologies and the absence of highly effective biomarkers for CSVD-related dementia. We review evidence regarding CSVD as a risk factor for developing neurodegenerative disease and potential mechanisms by which CSVD leads to progressive brain injury. Finally, we summarize recent studies on the effects of major classes of cardiovascular medicines relevant to CSVD-related cognitive impairment. Although many key questions remain, the increased attention to CSVD has resulted in a sharper vision for what will be needed to meet the upcoming challenges imposed by this disease.