Extracellular vesicle biomarkers of Alzheimer's disease associated with sub-clinical cognitive decline in late middle age.

INTRODUCTION: Neuronal extracellular vesicle (nEV) tau and insulin signaling biomarkers may detect preclinical Alzheimer's disease and age-associated cognitive decline. METHODS: This case-control study used repeated serum samples from 73 cognitively declining and 73 stable Wisconsin Registry for Alzheimer's Prevention participants (62.4 ± 6.3 years old). We immunocaptured nEVs; measured tau and insulin signaling biomarkers; and examined biomarker differences by group, their performance in group classification in training and test datasets (97, 49 individuals, respectively), and whether they predict cognitive performance change. RESULTS: Declining compared to stable individuals showed higher baseline total, p231-, and p181-tau with older age and higher annualized change for p-IR and p-IGF-1R. Combining biomarkers classified decliners with 94% area under the curve (AUC), 86.0% sensitivity and 86.7% specificity, in training data, and 75% AUC, 71.4% sensitivity, and 77.3% specificity, in test data. Insulin biomarkers predicted cognitive performance change prospectively. DISCUSSION: Combining nEV biomarkers can identify individuals with age-associated cognitive decline.

A new structural model of Alzheimer's Aß42 fibrils based on electron paramagnetic resonance data and Rosetta modeling.

Brain deposition of Aß in the form of amyloid plaques is a pathological hallmark of Alzheimer's disease. There are two major species of Aß in the brain: Aß42 and Aß40. Although Aß40 is several-fold more abundant than Aß42 in soluble form, Aß42 is the major component of amyloid plaques. Structural knowledge of Aß42 fibrils is important both for understanding the process of Aß aggregation and for designing fibril-targeting drugs. Here we report site-specific structural information of Aß42 fibrils at 22 residue positions based on electron paramagnetic resonance data. In combination with structure prediction program Rosetta, we modeled Aß42 fibril structure at atomic resolution. Our Aß42 fibril model consists of four parallel in-register ß-sheets: ßN (residues ∼7-13), ß1 (residues ∼17-20), ß2 (residues ∼32-36), and ßC (residues 39-41). The region of ß1-loop-ß2 in Aß42 fibrils adopts similar structure as that in Aß40 fibrils. This is consistent with our cross seeding data that Aß42 fibril seeds shortened the lag phase of Aß40 fibrillization. On the other hand, Aß42 fibrils contain a C-terminal ß-arc-ß motif with a special turn, termed "arc", at residues 37-38, which is absent in Aß40 fibrils. Our results can explain both the higher aggregation propensity of Aß42 and the importance of Aß42 to Aß40 ratio in the pathogenesis of Alzheimer's disease.

Extracellular Vesicle Biomarkers Track Cognitive Changes Following Intranasal Insulin in Alzheimer's Disease.

BACKGROUND: Insulin resistance is implicated in Alzheimer's disease (AD), whereas intranasal insulin is an experimental treatment in clinical trials. We previously proposed insulin signaling mediators in plasma neuronal-enriched extracellular vesicles (EVs) as biomarkers of brain insulin resistance. OBJECTIVE: We sought to demonstrate the capacity of neuronal-enriched EV biomarkers to demonstrate target engagement in response to intranasal insulin and their ability to track treatment-associated cognitive changes in AD. METHODS: We isolated neuronal-enriched EVs from plasma samples of participants with amnestic mild cognitive impairment or probable AD involved in a 4-month duration placebo-controlled clinical trial of 20 or 40 IU intranasal insulin. We measured insulin signaling mediators as biomarkers and examined treatment-associated changes and their relationship with cognitive performance (ADAS-Cog). RESULTS: There were no EV biomarker changes from baseline in any of the treatment groups. In participants treated with 20 IU insulin, EV biomarkers of insulin resistance (pS312-IRS-1, pY-IRS-1) showed strong positive correlations with ADAS-Cog changes, especially in ApoE ɛ4 non-carriers. CONCLUSION: Neuronal EV biomarkers of insulin resistance (pS312-IRS-1, pY-IRS-1) were associated with cognitive changes in response to low dose intranasal insulin suggesting engagement of the insulin cascade in neurons of origin.

Aß42 fibril formation from predominantly oligomeric samples suggests a link between oligomer heterogeneity and fibril polymorphism.

Amyloid-ß (Aß) oligomers play a central role in the pathogenesis of Alzheimer's disease. Oligomers of different sizes, morphology and structures have been reported in both in vivo and in vitro studies, but there is a general lack of understanding about where to place these oligomers in the overall process of Aß aggregation and fibrillization. Here, we show that Aß42 spontaneously forms oligomers with a wide range of sizes in the same sample. These Aß42 samples contain predominantly oligomers, and they quickly form fibrils upon incubation at 37°C. When fractionated using ultrafiltration filters, the samples enriched with smaller oligomers form fibrils at a faster rate than the samples enriched with larger oligomers, with both a shorter lag time and faster fibril growth rate. This observation is independent of Aß42 batches and hexafluoroisopropanol treatment. Furthermore, the fibrils formed by the samples enriched with larger oligomers are more readily solubilized by epigallocatechin gallate, a main catechin component of green tea. These results suggest that the fibrils formed by larger oligomers may adopt a different structure from fibrils formed by smaller oligomers, pointing to a link between oligomer heterogeneity and fibril polymorphism.

A Pilot Study of Exenatide Actions in Alzheimer's Disease.

BACKGROUND: Strong preclinical evidence suggests that exenatide, a glucagon-like peptide-1 (GLP- 1) receptor agonist used for treating type 2 diabetes, is neuroprotective and disease-modifying in Alzheimer's Disease (AD). OBJECTIVE: We performed an 18-month double-blind randomized placebo-controlled Phase II clinical trial to assess the safety and tolerability of exenatide and explore treatment responses for clinical, cognitive, and biomarker outcomes in early AD. METHOD: Eighteen participants with high probability AD based on cerebrospinal fluid (CSF) biomarkers completed the entire study prior to its early termination by the sponsor; partial outcomes were available for twentyone. RESULTS: Exenatide was safe and well-tolerated, showing an expectedly higher incidence of nausea and decreased appetite compared to placebo and decreasing glucose and GLP-1 during Oral Glucose Tolerance Tests. Exenatide treatment produced no differences or trends compared to placebo for clinical and cognitive measures, MRI cortical thickness and volume, or biomarkers in CSF, plasma, and plasma neuronal extracellular vesicles (EV) except for a reduction of Aß42 in EVs. CONCLUSION: The positive finding of lower EV Aß42 supports emerging evidence that plasma neuronal EVs provide an effective platform for demonstrating biomarker responses in clinical trials in AD. The study was underpowered due to early termination and therefore we cannot draw any firm conclusions. However, the analysis of secondary outcomes shows no trends in support of the hypothesis that exenatide is diseasemodifying in clinical AD, and lowering EV Aß42 in and of itself may not improve cognitive outcomes in AD.

Brain insulin resistance and altered brain glucose are related to memory impairments in schizophrenia.

Memory is robustly impaired in schizophrenia (SZ) and related to functional outcome. Memory dysfunction has been shown to be related to altered brain glucose metabolism and brain insulin resistance in animal models and human studies of Alzheimer's disease. In this study, differences in brain glucose using magnetic resonance spectroscopy (MRS) and blood Extracellular Vesicle (EV) biomarkers of neuronal insulin resistance (i.e. Akt and signaling effectors) between SZ and controls were investigated, as well as whether these measures were related to memory impairments. Neuronal insulin resistance biomarkers showed a trend for being lower in SZ compared to controls, and memory measures were lower in SZ compared to controls. Occipital cortex glucose was higher in SZ compared to controls indicating lower brain glucose utilization. Linear regression analyses revealed significant relationships between neuronal insulin resistance biomarkers, memory measures, and brain glucose. More specifically, p70S6K, an insulin signaling effector, was related to verbal learning and brain MRS glucose in the SZ group. For the first time, we show that memory impairments in SZ may be related to brain glucose and brain insulin resistance. These data suggest that brain insulin resistance may play a role in the pathophysiology of learning and memory dysfunction in SZ.

Insulin-signaling abnormalities in drug-naïve first-episode schizophrenia: Transduction protein analyses in extracellular vesicles of putative neuronal origin.

BACKGROUND: Metabolic syndrome and impaired insulin sensitivity may occur as side effects of atypical antipsychotic drugs. However, studies of peripheral insulin resistance using the homeostatic model assessment of insulin resistance (HOMA-IR) or oral glucose tolerance tests (OGTT) suggest that abnormal glucose metabolism is already present in drug-naive first-episode schizophrenia (DNFES). We hypothesized impairments of neuronal insulin signaling in DNFES. METHODS: To gain insight into neuronal insulin-signaling in vivo, we analyzed peripheral blood extracellular vesicles enriched for neuronal origin (nEVs). Phosphorylated insulin signal transduction serine-threonine kinases pS312-IRS-1, pY-IRS-1, pS473-AKT, pS9-GSK3ß, pS2448-mTOR, pT389-p70S6K and respective total protein levels were determined in plasma nEVs from 48 DNFES patients and healthy matched controls after overnight fasting. RESULTS: Upstream pS312-IRS-1 was reduced at trend level (p = 0.071; this condition may amplify IRS-1 signaling). Exploratory omnibus analysis of downstream serine-threonine kinases (AKT, GSK3ß, mTOR, p70S6K) revealed lower phosphorylated/total protein ratios in DNFES vs. controls (p = 0.013), confirming decreased pathway activation. Post-hoc-tests indicated in particular a reduced phosphorylation ratio of mTOR (p = 0.027). Phosphorylation ratios of p70S6K (p = 0.029), GSK3ß (p = 0.039), and at trend level AKT (p = 0.061), showed diagnosis-dependent statistical interactions with insulin blood levels. The phosphorylation ratio of AKT correlated inversely with PANSS-G and PANSS-total scores, and other ratios showed similar trends. CONCLUSION: These findings support the hypothesis of neuronal insulin resistance in DNFES, small sample sizes notwithstanding. The counterintuitive trend towards reduced pS312-IRS-1 in DNFES may result from adaptive feedback mechanisms. The observed changes in insulin signaling could be clinically meaningful as suggested by their association with higher PANSS scores.

Association of Extracellular Vesicle Biomarkers With Alzheimer Disease in the Baltimore Longitudinal Study of Aging.

IMPORTANCE: Blood biomarkers able to diagnose Alzheimer disease (AD) at the preclinical stage would enable trial enrollment when the disease is potentially reversible. Plasma neuronal-enriched extracellular vesicles (nEVs) of patients with AD were reported to exhibit elevated levels of phosphorylated (p) tau, Aß42, and phosphorylated insulin receptor substrate 1 (IRS-1). OBJECTIVE: To validate nEV biomarkers as AD predictors. DESIGN, SETTING, PARTICIPANTS: This case-control study included longitudinal plasma samples from cognitively normal participants in the Baltimore Longitudinal Study of Aging (BLSA) cohort who developed AD up to January 2015 and age- and sex-matched controls who remained cognitively normal over a similar length of follow-up. Repeated samples were blindly analyzed over 1 year from participants with clinical AD and controls from the Johns Hopkins Alzheimer Disease Research Center (JHADRC). Data were collected from September 2016 to January 2018. Analyses were conducted in March 2019. MAIN OUTCOMES AND MEASURES: Neuronal-enriched extracellular vesicles were immunoprecipitated; tau, Aß42, and IRS-1 biomarkers were quantified by immunoassays; and nEV concentration and diameter were determined by nanoparticle tracking analysis. Levels and longitudinal trajectories of nEV biomarkers between participants with future AD and control participants were compared. RESULTS: Overall, 887 longitudinal plasma samples from 128 BLSA participants who eventually developed AD and 222 age and sex-matched controls who remained cognitively normal were analyzed. Participants were followed up (from earliest sample to AD symptom onset) for a mean (SD) of 3.5 (2.31) years (range, 0-9.73 years). Overall, 161 participants were included in the training set, and 80 were in the test set. Participants in the BLSA cohort with future AD (mean [SD] age, 79.09 [7.02] years; 68 women [53.13%]) had longitudinally higher p-tau181, p-tau231, pSer312-IRS-1, pY-IRS-1, and nEV diameter than controls (mean [SD] age, 76.2 [7.36] years; 110 women [50.45%]) but had similar Aß42, total tau, TSG101, and nEV concentration. In the training BLSA set, a model combining preclinical longitudinal data achieved 89.6% area under curve (AUC), 81.8% sensitivity, and 85.8% specificity for predicting AD. The model was validated in the test BLSA set (80% AUC, 55.6% sensitivity, 88.7% specificity). Preclinical levels of nEV biomarkers were associated with cognitive performance. In addition, 128 repeated samples over 1 year from 64 JHADRC participants with clinical AD and controls were analyzed. In the JHADRC cohort (35 participants with AD: mean [SD] age, 74.03 [8.73] years; 18 women [51.43%] and 29 controls: mean [SD] age, 72.14 [7.86] years; 23 women [79.31%]), nEV biomarkers achieved discrimination with 98.9% AUC, 100% sensitivity, and 94.7% specificity in the training set and 76.7% AUC, 91.7% sensitivity, and 60% specificity in the test set. CONCLUSIONS AND RELEVANCE: We validated nEV biomarker candidates and further demonstrated that their preclinical longitudinal trajectories can predict AD diagnosis. These findings motivate further development of nEV biomarkers toward a clinical blood test for AD.

A mix-and-click method to measure amyloid-ß concentration with sub-micromolar sensitivity.

Aggregation of amyloid-ß (Aß) protein plays a central role in Alzheimer's disease. Because protein aggregation is a concentration-dependent process, rigorous investigations require accurate concentration measurements. Owing to the high aggregation propensity of Aß protein, working solutions of Aß are typically in the low micromolar range. Therefore, an ideal Aß quantification method requires high sensitivity without sacrificing speed and accuracy. Absorbance at 280 nm is frequently used to measure Aß concentration, but the sensitivity is low with only one tyrosine and no tryptophan residues in the Aß sequence. Here we present a fluorescence method for Aß quantification using fluorescamine, which gives high fluorescence upon reaction with primary amines. We show that, using hen egg white lysozyme as a standard, fluorescence correlates linearly with primary amine concentration across a wide range of fluorescamine concentrations, from 62.5 to 1000 µM. The maximal sensitivity of detection is achieved at a fluorescamine concentration of 250 µM or higher. The fluorescamine method is compatible with the presence of dimethyl sulfoxide, which is commonly used in the preparation of Aß oligomers, and limits the use of absorbance at 280 nm due to its high background reading. Using aggregation kinetics, we show that the fluorescamine method gives accurate concentration measurements at low micromolar range and leads to highly consistent aggregation data. We recommend the fluorescamine assay to be used for routine and on-the-fly concentration determination in Aß oligomerization and fibrillization experiments.

Cross-seeding between Aß40 and Aß42 in Alzheimer's disease.

Aß42 is the major component of parenchymal plaques in the brain of Alzheimer's patients, while Aß40 is the major component of cerebrovascular plaques. Since Aß40 and Aß42 coexist in the brain, understanding the interaction between Aß40 and Aß42 during their aggregation is important to delineate the molecular mechanism underlying Alzheimer's disease. Here, we present a rigorous and systematic study of the cross-seeding effects between Aß40 and Aß42. We show that Aß40 fibril seeds can promote Aß42 aggregation in a concentration-dependent manner, and vice versa. Our results also suggest that seeded aggregation and spontaneous aggregation may be two separate pathways. These findings may partly resolve conflicting observations in the literature regarding the cross-seeding effects between Aß40 and Aß42.

Plasma Extracellular Vesicles Enriched for Neuronal Origin: A Potential Window into Brain Pathologic Processes.

Our team has been a pioneer in harvesting extracellular vesicles (EVs) enriched for neuronal origin from peripheral blood and using them as a biomarker discovery platform for neurological disorders. This methodology has demonstrated excellent diagnostic and predictive performance for Alzheimer's and other neurodegenerative diseases in multiple studies, providing a strong proof of concept for this approach. Here, we describe our methodology in detail and offer further evidence that isolated EVs are enriched for neuronal origin. In addition, we present evidence that EVs enriched for neuronal origin represent a more sensitive and accurate base for biomarkers than plasma, serum, or non-enriched total plasma EVs. Finally, we proceed to investigate the protein content of EVs enriched for neuronal origin and compare it with other relevant enriched and non-enriched populations of plasma EVs. Neuronal-origin enriched plasma EVs contain higher levels of signaling molecules of great interest for cellular metabolism, survival, and repair, which may be useful as biomarkers and to follow response to therapeutic interventions in a mechanism-specific manner.