Retinal peri-arteriolar versus peri-venular amyloidosis, hippocampal atrophy, and cognitive impairment: exploratory trial.

The relationship between amyloidosis and vasculature in cognitive impairment and Alzheimer's disease (AD) pathogenesis is increasingly acknowledged. We conducted a quantitative and topographic assessment of retinal perivascular amyloid plaque (AP) distribution in individuals with both normal and impaired cognition. Using a retrospective dataset of scanning laser ophthalmoscopy fluorescence images from twenty-eight subjects with varying cognitive states, we developed a novel image processing method to examine retinal peri-arteriolar and peri-venular curcumin-positive AP burden. We further correlated retinal perivascular amyloidosis with neuroimaging measures and neurocognitive scores. Our study unveiled that peri-arteriolar AP counts surpassed peri-venular counts throughout the entire cohort (P < 0.0001), irrespective of the primary, secondary, or tertiary vascular branch location, with a notable increase among cognitively impaired individuals. Moreover, secondary branch peri-venular AP count was elevated in the cognitively impaired (P < 0.01). Significantly, peri-venular AP count, particularly in secondary and tertiary venules, exhibited a strong correlation with clinical dementia rating, Montreal cognitive assessment score, hippocampal volume, and white matter hyperintensity count. In conclusion, our exploratory analysis detected greater peri-arteriolar versus peri-venular amyloidosis and a marked elevation of amyloid deposition in secondary branch peri-venular regions among cognitively impaired subjects. These findings underscore the potential feasibility of retinal perivascular amyloid imaging in predicting cognitive decline and AD progression. Larger longitudinal studies encompassing diverse populations and AD-biomarker confirmation are warranted to delineate the temporal-spatial dynamics of retinal perivascular amyloid deposition in cognitive impairment and the AD continuum.

Noninvasive Visualization of Amyloid-Beta Deposits in Alzheimer's Amyloidosis Mice via Fluorescence Molecular Tomography Using Contrast Agent.

Alzheimer's disease is pathologically featured by the accumulation of amyloid-beta (Aß) plaque and neurofibrillary tangles. Compared to small animal positron emission tomography, optical imaging features nonionizing radiation, low cost, and logistic convenience. Optical detection of Aß deposits is typically implemented by 2D macroscopic imaging and various microscopic techniques assisted with Aß-targeted contrast agents. Here, we introduce fluorescence molecular tomography (FMT), a macroscopic 3D fluorescence imaging technique, convenient for in vivo longitudinal monitoring of the animal brain without the involvement of cranial window opening operation. This chapter aims to provide the protocols for FMT in vivo imaging of Aß deposits in the brain of rodent model of Alzheimer's disease. The materials, stepwise method, notes, limitations of FMT, and emerging opportunities for FMT techniques are presented.

Synthesis and In Vitro and In Vivo Evaluation of 18F-Labeled Positron Emission Tomography Tracers for Imaging Aß Plaques.

Accurate quantification of amyloid beta (Aß) plaques is an important indicator for Alzheimer's disease diagnosis and treatment. For this purpose, new highly sensitive Aß tracers were designed by regulating the position and number of nitrogen atoms. A series of derivatives of florbetapir (AV45) containing different numbers and positions of N atoms were synthesized and evaluated for in vitro affinity and in vivo biodistribution. Preliminary study results showed that [18F]BIBD-124 and [18F]BIBD-127 had better clearance rates and less in vivo defluorination than AV45 in ICR (ICR = Institute of Cancer Research) mice. Autoradiography and molecular docking indicated that the binding sites of [18F]BIBD-124/127 were similar to that of [18F]AV45. Micro-positron emission tomography-computed tomography imaging further demonstrated that [18F]BIBD-124 could monitor Aß plaques similar to [18F]AV45. Besides, the imaging contrast of [18F]BIBD-124 is better than that of [18F]AV45. Mass spectrometric metabolic analysis showed that BIBD-124 was less demethylated than AV45 without subsequent acetylation, which might explain its less non-specific uptake and higher imaging contrast. Gauss calculations further confirmed that the introduction of N5 in [18F]BIBD-124 decreased demethylation. Considering imaging contrast and in vivo defluorination, [18F]BIBD-124 is expected to be a promising radiotracer of Aß plaques for further clinical trials.

Altered dynamics of glymphatic flow in a mature-onset Tet-off APP mouse model of amyloidosis.

BACKGROUND: Alzheimer's disease (AD) is an incurable neurodegenerative disorder characterised by the progressive buildup of toxic amyloid-beta (Aß) and tau protein aggregates eventually leading to cognitive decline. Recent lines of evidence suggest that an impairment of the glymphatic system (GS), a brain waste clearance pathway, plays a key role in the pathology of AD. Moreover, a relationship between GS function and neuronal network integrity has been strongly implicated. Here, we sought to assess the efficacy of the GS in a transgenic Tet-Off APP mouse model of amyloidosis, in which the expression of mutant APP was delayed until maturity, mimicking features of late-onset AD-the most common form of dementia in humans. METHODS: To evaluate GS function, we used dynamic contrast-enhanced MRI (DCE-MRI) in 14-month-old Tet-Off APP (AD) mice and aged-matched littermate controls. Brain-wide transport of the Gd-DOTA contrast agent was monitored over time after cisterna magna injection. Region-of-interest analysis and computational modelling were used to assess GS dynamics while characterisation of brain tissue abnormalities at the microscale was performed ex vivo by immunohistochemistry. RESULTS: We observed reduced rostral glymphatic flow and higher accumulation of the contrast agent in areas proximal to the injection side in the AD group. Clustering and subsequent computational modelling of voxel time courses revealed significantly lower influx time constants in AD relative to the controls. Ex vivo evaluation showed abundant amyloid plaque burden in the AD group coinciding with extensive astrogliosis and microgliosis. The neuroinflammatory responses were also found in plaque-devoid regions, potentially impacting brain-fluid circulation. CONCLUSIONS: In a context resembling late-onset AD in humans, we demonstrate the disruption of glymphatic function and particularly a reduction in brain-fluid influx in the AD group. We conjecture that the hindered circulation of cerebrospinal fluid is potentially caused by wide-spread astrogliosis and amyloid-related obstruction of the normal routes of glymphatic flow resulting in redirection towards caudal regions. In sum, our study highlights the translational potential of alternative approaches, such as targeting brain-fluid circulation as potential therapeutic strategies for AD.

Design and synthesis of astatinated benzothiazole compounds for their potential use in Targeted Alpha Therapy (TAT) strategies to treat Alzheimer's disease-associated amyloid plaques.

PURPOSE: Alzheimer's disease (AD) is a terminal neurodegenerative disease characterized by the buildup of amyloid fibrils, amorphous aggregates and tauopathies. Several treatment modalities, which rely on various biological processes to reduce disease burden, have been largely ineffective at treating Alzheimer's disease. Targeted alpha therapy (TAT) has demonstrated positive results in the treatment of cancer. Benzothiazole derivatives have been successfully shown to target these plaques and are used in several imaging applications. One such derivative, Flutemetamol (VizamylTM) is an FDA approved diagnostic tool for PET imaging of AD-associated plaques. We report the radiolabeling of benzothiazole derivatives with 211At, a 7.2 h alpha emitting radionuclide, using a copper catalyzed reaction with a boronic acid precursor molecule. Our final compound [211At]3'-At-PIB-OMe had a radiochemical yield of 55% and was found to be stable for at least 3 h in phosphate buffered saline.

The performance of plasma amyloid beta measurements in identifying amyloid plaques in Alzheimer's disease: a literature review.

The extracellular buildup of amyloid beta (Aß) plaques in the brain is a hallmark of Alzheimer's disease (AD). Detection of Aß pathology is essential for AD diagnosis and for identifying and recruiting research participants for clinical trials evaluating disease-modifying therapies. Currently, AD diagnoses are usually made by clinical assessments, although detection of AD pathology with positron emission tomography (PET) scans or cerebrospinal fluid (CSF) analysis can be used by specialty clinics. These measures of Aß aggregation, e.g. plaques, protofibrils, and oligomers, are medically invasive and often only available at specialized medical centers or not covered by medical insurance, and PET scans are costly. Therefore, a major goal in recent years has been to identify blood-based biomarkers that can accurately detect AD pathology with cost-effective, minimally invasive procedures.To assess the performance of plasma Aß assays in predicting amyloid burden in the central nervous system (CNS), this review compares twenty-one different manuscripts that used measurements of 42 and 40 amino acid-long Aß (Aß42 and Aß40) in plasma to predict CNS amyloid status. Methodologies that quantitate Aß42 and 40 peptides in blood via immunoassay or immunoprecipitation-mass spectrometry (IP-MS) were considered, and their ability to distinguish participants with amyloidosis compared to amyloid PET and CSF Aß measures as reference standards was evaluated. Recent studies indicate that some IP-MS assays perform well in accurately and precisely measuring Aß and detecting brain amyloid aggregates.

A History of Senile Plaques: From Alzheimer to Amyloid Imaging.

Senile plaques have been studied in postmortem brains for more than 120 years and the resultant knowledge has not only helped us understand the etiology and pathogenesis of Alzheimer disease (AD), but has also pointed to possible modes of prevention and treatment. Within the last 15 years, it has become possible to image plaques in living subjects. This is arguably the single greatest advance in AD research since the identification of the Aß peptide as the major plaque constituent. The limitations and potentialities of amyloid imaging are still not completely clear but are perhaps best glimpsed through the perspective gained from the accumulated postmortem histological studies. The basic morphological classification of plaques into neuritic, cored and diffuse has been supplemented by sophisticated immunohistochemical and biochemical analyses and increasingly detailed mapping of plaque brain distribution. Changes in plaque classification and staging have in turn contributed to changes in the definition and diagnostic criteria for AD. All of this information continues to be tested by clinicopathological correlations and it is through the insights thereby gained that we will best be able to employ the powerful tool of amyloid imaging.

Assessment of a Plasma Amyloid Probability Score to Estimate Amyloid Positron Emission Tomography Findings Among Adults With Cognitive Impairment.

Importance: The diagnostic evaluation for Alzheimer disease may be improved by a blood-based diagnostic test identifying presence of brain amyloid plaque pathology. Objective: To determine the clinical performance associated with a diagnostic algorithm incorporating plasma amyloid-ß (Aß) 42:40 ratio, patient age, and apoE proteotype to identify brain amyloid status. Design, Setting, and Participants: This cohort study includes analysis from 2 independent cross-sectional cohort studies: the discovery cohort of the Plasma Test for Amyloidosis Risk Screening (PARIS) study, a prospective add-on to the Imaging Dementia-Evidence for Amyloid Scanning study, including 249 patients from 2018 to 2019, and MissionAD, a dataset of 437 biobanked patient samples obtained at screenings during 2016 to 2019. Data were analyzed from May to November 2020. Exposures: Amyloid detected in blood and by positron emission tomography (PET) imaging. Main Outcomes and Measures: The main outcome was the diagnostic performance of plasma Aß42:40 ratio, together with apoE proteotype and age, for identifying amyloid PET status, assessed by accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). Results: All 686 participants (mean [SD] age 73.2 [6.3] years; 368 [53.6%] men; 378 participants [55.1%] with amyloid PET findings) had symptoms of mild cognitive impairment or mild dementia. The AUC of plasma Aß42:40 ratio for PARIS was 0.79 (95% CI, 0.73-0.85) and 0.86 (95% CI, 0.82-0.89) for MissionAD. Ratio cutoffs for Aß42:40 based on the Youden index were similar between cohorts (PARIS: 0.089; MissionAD: 0.092). A logistic regression model (LRM) incorporating Aß42:40 ratio, apoE proteotype, and age improved diagnostic performance within each cohort (PARIS: AUC, 0.86 [95% CI, 0.81-0.91]; MissionAD: AUC, 0.89 [95% CI, 0.86-0.92]), and overall accuracy was 78% (95% CI, 72%-83%) for PARIS and 83% (95% CI, 79%-86%) for MissionAD. The model developed on the prospectively collected samples from PARIS performed well on the MissionAD samples (AUC, 0.88 [95% CI, 0.84-0.91]; accuracy, 78% [95% CI, 74%-82%]). Training the LRM on combined cohorts yielded an AUC of 0.88 (95% CI, 0.85-0.91) and accuracy of 81% (95% CI, 78%-84%). The output of this LRM is the Amyloid Probability Score (APS). For clinical use, 2 APS cutoff values were established yielding 3 categories, with low, intermediate, and high likelihood of brain amyloid plaque pathology. Conclusions and Relevance: These findings suggest that this blood biomarker test could allow for distinguishing individuals with brain amyloid-positive PET findings from individuals with amyloid-negative PET findings and serve as an aid for Alzheimer disease diagnosis.

Support vector machine learning and diffusion-derived structural networks predict amyloid quantity and cognition in adults with Down's syndrome.

Down's syndrome results from trisomy of chromosome 21, a genetic change which also confers a probable 100% risk for the development of Alzheimer's disease neuropathology (amyloid plaque and neurofibrillary tangle formation) in later life. We aimed to assess the effectiveness of diffusion-weighted imaging and connectomic modelling for predicting brain amyloid plaque burden, baseline cognition and longitudinal cognitive change using support vector regression. Ninety-five participants with Down's syndrome successfully completed a full Pittsburgh Compound B (PiB) PET-MR protocol and memory assessment at two timepoints. Our findings indicate that graph theory metrics of node degree and strength based on the structural connectome are effective predictors of global amyloid deposition. We also show that connection density of the structural network at baseline is a promising predictor of current cognitive performance. Directionality of effects were mainly significant reductions in the white matter connectivity in relation to both PiB+ status and greater rate of cognitive decline. Taken together, these results demonstrate the integral role of the white matter during neuropathological progression and the utility of machine learning methodology for non-invasively evaluating Alzheimer's disease prognosis.

AL Lambda Amyloidosis Activates Acute Liver Failure in the Absence of Plasma Cell Dyscrasia.

A patient with systemic amyloidosis developed portal hypertension, acute liver failure and multiorgan dysfunction. Extensive testing was unrevealing for paraproteinemia, plasma cell dyscrasia, infectious, or inflammatory conditions. He was transferred to our institution for orthotopic liver transplant evaluation but was ultimately declined given clinical instability and dysautonomia. Post-mortem evaluation revealed extensive amyloid deposition in multiple organs determined to be AL-lambda amyloidosis.

Presymptomatic Dutch-Type Hereditary Cerebral Amyloid Angiopathy-Related Blood Metabolite Alterations.

BACKGROUND: Cerebral amyloid angiopathy (CAA) is one of the major causes of intracerebral hemorrhage and vascular dementia in older adults. Early diagnosis will provide clinicians with an opportunity to intervene early with suitable strategies, highlighting the importance of pre-symptomatic CAA biomarkers. OBJECTIVE: Investigation of pre-symptomatic CAA related blood metabolite alterations in Dutch-type hereditary CAA mutation carriers (D-CAA MCs). METHODS: Plasma metabolites were measured using mass-spectrometry (AbsoluteIDQ® p400 HR kit) and were compared between pre-symptomatic D-CAA MCs (n = 9) and non-carriers (D-CAA NCs, n = 8) from the same pedigree. Metabolites that survived correction for multiple comparisons were further compared between D-CAA MCs and additional control groups (cognitively unimpaired adults). RESULTS: 275 metabolites were measured in the plasma, 22 of which were observed to be significantly lower in theD-CAAMCs compared to D-CAA NCs, following adjustment for potential confounding factors age, sex, and APOE ε4 (p < 00.05). After adjusting for multiple comparisons, only spermidine remained significantly lower in theD-CAAMCscompared to theD-CAA NCs (p  < 0.00018). Plasma spermidine was also significantly lower in D-CAA MCs compared to the cognitively unimpaired young adult and older adult groups (p < 0.01). Spermidinewas also observed to correlate with CSF Aß40 (rs = 0.621, p = 0.024), CSF Aß42 (rs = 0.714, p = 0.006), and brain Aß load (rs = -0.527, p = 0.030). CONCLUSION: The current study provides pilot data on D-CAA linked metabolite signals, that also associated with Aß neuropathology and are involved in several biological pathways that have previously been linked to neurodegeneration and dementia.

Asymmetry of Fibrillar Plaque Burden in Amyloid Mouse Models.

Asymmetries of amyloid-ß (Aß) burden are well known in Alzheimer disease (AD) but did not receive attention in Aß mouse models of Alzheimer disease. Therefore, we investigated Aß asymmetries in Aß mouse models examined by Aß small-animal PET and tested if such asymmetries have an association with microglial activation. Methods: We analyzed 523 cross-sectional Aß PET scans of 5 different Aß mouse models (APP/PS1, PS2APP, APP-SL70, AppNL-G-F , and APPswe) together with 136 18-kDa translocator protein (TSPO) PET scans for microglial activation. The asymmetry index (AI) was calculated between tracer uptake in both hemispheres. AIs of Aß PET were analyzed in correlation with TSPO PET AIs. Extrapolated required sample sizes were compared between analyses of single and combined hemispheres. Results: Relevant asymmetries of Aß deposition were identified in at least 30% of all investigated mice. There was a significant correlation between AIs of Aß PET and TSPO PET in 4 investigated Aß mouse models (APP/PS1: R = 0.593, P = 0.001; PS2APP: R = 0.485, P = 0.019; APP-SL70: R = 0.410, P = 0.037; AppNL-G-F : R = 0.385, P = 0.002). Asymmetry was associated with higher variance of tracer uptake in single hemispheres, leading to higher required sample sizes. Conclusion: Asymmetry of fibrillar plaque neuropathology occurs frequently in Aß mouse models and acts as a potential confounder in experimental designs. Concomitant asymmetry of microglial activation indicates a neuroinflammatory component to hemispheric predominance of fibrillary amyloidosis.

Analytical and Clinical Performance of Amyloid-Beta Peptides Measurements in CSF of ADNIGO/2 Participants by an LC-MS/MS Reference Method.

BACKGROUND: Cerebrospinal fluid (CSF) amyloid-ß1-42 (Aß42) reliably detects brain amyloidosis based on its high concordance with plaque burden at autopsy and with amyloid positron emission tomography (PET) ligand retention observed in several studies. Low CSF Aß42 concentrations in normal aging and dementia are associated with the presence of fibrillary Aß across brain regions detected by amyloid PET imaging. METHODS: An LC-MS/MS reference method for Aß42, modified by adding Aß40 and Aß38 peptides to calibrators, was used to analyze 1445 CSF samples from ADNIGO/2 participants. Seventy runs were completed using 2 different lots of calibrators. For preparation of Aß42 calibrators and controls spiking solution, reference Aß42 standard with certified concentration was obtained from EC-JRC-IRMM (Belgium). Aß40 and Aß38 standards were purchased from rPeptide. Aß42 calibrators' accuracy was established using CSF-based Aß42 Certified Reference Materials (CRM). RESULTS: CRM-adjusted Aß42 calibrator concentrations were calculated using the regression equation Y (CRM-adjusted) = 0.89X (calibrators) + 32.6. Control samples and CSF pools yielded imprecision ranging from 6.5 to 10.2% (Aß42) and 2.2 to 7.0% (Aß40). None of the CSF pools showed statistically significant differences in Aß42 concentrations across 2 different calibrator lots. Comparison of Aß42 with Aß42/Aß40 showed that the ratio improved concordance with concurrent [18F]-florbetapir PET as a measure of fibrillar Aß (n = 766) from 81 to 88%. CONCLUSIONS: Long-term performance assessment substantiates our modified LC-MS/MS reference method for 3 Aß peptides. The improved diagnostic performance of the CSF ratio Aß42/Aß40 suggests that Aß42 and Aß40 should be measured together and supports the need for an Aß40 CRM.

Feasibility of imaging amyloid in the brain using small-angle x-ray scattering.

Small-angle x-ray scattering (SAXS) imaging may have the potential to imageß-amyloid plaquesin vivoin the brain without tracers for assessment of Alzheimer's disease (AD). We use a laboratory SAXS system for planar imaging of AD model and control mouse brains slices to detect regions with high density of amyloid plaques. These regions were validated with histology methods. Using Monte Carlo techniques, we simulate SAXS computed tomography (SAXS-CT) system to study the potential of selectively differentiating amyloid targets in mouse and human head phantoms with detailed anatomy. We found contrast between amyloid and brain tissue at smallq(below 0.8 nm-1) in the neocortex region of the transgenic brain slices as supported by histology. We observed similar behavior through planar SAXS imaging of an amyloid-like fibril deposit with a 0.8 mm diameter at a known location on a wild type mouse brain. In our SAXS-CT simulations, we found that 33-keV x rays provide increase plaque visibility in the mouse head for targets of at least 0.1 mm in diameter, while in the human head, 70-keV x rays were capable of detecting plaques as small as 2 mm. To increase radiation efficiency, we used a weighted-sum image visualization approach allowing the dose deposited by 70-keV x rays per SAXS-CT slice of the human head to be reduced by a factor of 10 to 71 mGy for gray matter and 63 mGy for white matter. The findings suggest that a dedicated SAXS-CT system forin vivoamyloid imaging in small animals and humans can be successfully developed with further system optimization to detect regions with amyloid plaques in the brain with a safe level of radiation dose.

Development of novel theranostic agents for in vivo amyloid imaging and protective effects on human neuroblastoma cells.

Brain amyloid deposits have been identified as the main neuropathological hallmarks of Alzheimer's diseases (AD) and intensive efforts have been devoted to develop aggregation inhibitors preventing the formation of toxic oligomeric Aß for therapeutic. In addition, evidence indicates that the formation and accumulation of ß-amyloid plaques probably precede clinical symptoms by around 20 years and imaging of such plaques would be beneficial for early-stage AD detection. In this study, we investigated phenothiazine-based compounds as novel promising theranostic agents for AD. These multifunctional agents exhibited BBB permeability, low neurotoxicity, good bio-stability as well as strong turn-on fluorescence with a Stokes shift upon binding to Aß aggregates. They had metal-chelating property which could delay Aß aggregation and displayed high binding affinity for ß-amyloid aggregates. Moreover, they have been simultaneously applied to perform in vivo near-infrared fluorescence imaging of ß-amyloid plaques in double transgenic AD mouse model, to prevent self-aggregation of Aß monomer from forming toxic oligomers and to protect human neuroblastoma SH-SY5Y cells against Aß-induced toxicity and oxidative stress.

Revealing brain pathologies with multimodal visible light optical coherence microscopy and fluorescence imaging.

We present a multimodal visible light optical coherence microscopy (OCM) and fluorescence imaging (FI) setup. Specification and phantom measurements were performed to characterize the system. Two applications in neuroimaging were investigated. First, curcumin-stained brain slices of a mouse model of Alzheimer's disease were examined. Amyloid-beta plaques were identified based on the fluorescence of curcumin, and coregistered morphological images of the brain tissue were provided by the OCM channel. Second, human brain tumor biopsies retrieved intraoperatively were imaged prior to conventional neuropathologic work-up. OCM revealed the three-dimensional structure of the brain parenchyma, and FI added the tumor tissue-specific contrast. Attenuation coefficients computed from the OCM data and the florescence intensity values were analyzed and showed a statistically significant difference for 5-aminolevulinic acid (5-ALA)-positive and -negative brain tissues. OCM findings correlated well with malignant hot spots within brain tumor biopsies upon histopathology. The combination of OCM and FI seems to be a promising optical imaging modality providing complementary contrast for applications in the field of neuroimaging.

Pittsburgh Compound-B Uptake in Meningioma With Histopathologic Correlation.

Previous studies have reported increased Pittsburgh compound-B (PiB) uptake in meningiomas; however, histological correlation to elucidate the underlying mechanism has not yet been done. We report a case of an 82-year-old woman with an incidental intracranial tumor that showed focal increased PiB uptake. Because of tumor growth, surgical resection was performed, yielding a histological diagnosis of meningioma. Any special and immunochemical staining for amyloid did not reveal amyloid deposition in the tumor. Our findings suggest that increased PiB uptake was not associated with amyloid in this instance.

Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque components on SNAP images. METHODS: Sixty-eight patients (age: 58±9 years, 24 males) with carotid artery atherosclerotic plaque were imaged on a 3 T MR scanner with both traditional multi-contrast vessel wall MR sequences (TOF, T1W, and T2W) and 3D SNAP sequence. The manual segmentations of carotid plaque components including LRNC, intraplaque hemorrhage (IPH), calcification (CA) and fibrous tissue (FT) on traditional multi-contrast images were used as reference. By utilizing the intensity and morphological information from SNAP, a machine learning based two steps algorithm was developed to firstly identify LRNC (with or without IPH), CA and FT, and then segmented IPH from LRNC. Ten-fold cross-validation was used to evaluate the performance of proposed method. The overall pixel-wise accuracy, the slice-wise sensitivity & specificity & Youden's index, and the Pearson's correlation coefficient of the component area between the proposed method and the manual segmentation were reported. RESULTS: In the first step, all tested classifiers (Naive Bayes (NB), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT) and Artificial Neural Network (ANN)) had overall pixel-wise accuracy higher than 0.88. For RF, GBDT and ANN classifiers, the correlation coefficients of areas were all higher than 0.82 (p < 0.001) for LRNC and 0.79 for CA (p < 0.001), and the Youden's indexes were all higher than 0.79 for LRNC and 0.76 for CA, which were better than that of NB and SVM. In the second step, the overall pixel-wise accuracy was higher than 0.78 for the five classifiers, and RF achieved the highest Youden's index (0.69) with the correlation coefficients as 0.63 (p < 0.001). CONCLUSIONS: The RF is the overall best classifier for our proposed method, and the feasibility of using SNAP to identify plaque components, including LRNC, IPH, CA, and FT has been validated. The proposed segmentation method using a single SNAP sequence might be a promising tool for atherosclerotic plaque components assessment.

Subtyping of circulating exosome-bound amyloid ß reflects brain plaque deposition.

Despite intense interests in developing blood measurements of Alzheimer's disease (AD), the progress has been confounded by limited sensitivity and poor correlation to brain pathology. Here, we present a dedicated analytical platform for measuring different populations of circulating amyloid ß (Aß) proteins - exosome-bound vs. unbound - directly from blood. The technology, termed amplified plasmonic exosome (APEX), leverages in situ enzymatic conversion of localized optical deposits and double-layered plasmonic nanostructures to enable sensitive, multiplexed population analysis. It demonstrates superior sensitivity (~200 exosomes), and enables diverse target co-localization in exosomes. Employing the platform, we find that prefibrillar Aß aggregates preferentially bind with exosomes. We thus define a population of Aß as exosome-bound (Aß42+ CD63+) and measure its abundance directly from AD and control blood samples. As compared to the unbound or total circulating Aß, the exosome-bound Aß measurement could better reflect PET imaging of brain amyloid plaques and differentiate various clinical groups.

Cardiac magnetic resonance and amyloidosis: review / Ressonância magnética cardíaca e amiloidose: revisão

Amyloidosis is a disease caused by extracellular deposition of insoluble protein fibrils, that results in changes in tissue architecture and consequently modification of the organ structure. Cardiac involvement is common in amyloidosis. Two major types of systemic amyloidosis affect the myocardium ­ immunoglobulin light chain and transthyretin amyloidosis ­ each leading to different prognosis. Early detection and diagnosis of cardiac amyloidosis are the main objectives in the assessment of the disease. New techniques of magnetic resonance imaging have minimized the need for biopsies for the diagnosis. Late gadolinium enhancement technique, and more recently T1 mapping, have allowed a simplified evaluation of amyloid deposits and extracellular volume. The aim of this review was to describe basic concepts and updates of the use of magnetic resonance imaging for the diagnosis amyloidosis and evaluation of its severity