Production Of Amyloid-β Peptides Research Articles

Nanodisc Reconstitution and Characterization of Amyloid-β Precursor Protein C99.

Amyloid precursor protein (APP) plays a pivotal role in the pathology of Alzheimer's disease (AD). Since the fragmentation of the membrane-bound APP that results in the production of amyloid-β peptides is the starting point for amyloid toxicity in AD, it is important to investigate the structure and dynamics of APP in a near-native lipid-bilayer environment. However, the reconstitution of APP into a stable and suitable membrane-mimicking lipid environment is a challenging task. In this study, the 99-residue C-terminal domain of APP is successfully reconstituted into polymer nanodiscs and characterized using size-exclusion chromatography, mass spectrometry, solution NMR, and magic-angle spinning solid-state NMR. In addition, the feasibility of using lipid-solubilizing polymers for isolating and characterizing APP in the native Escherichia. coli membrane environment is demonstrated.

Silver nanoparticle-based SERS sensors for sensitive detection of amyloid-β aggregates in biological fluids

One of the hallmarks of Alzheimer's disease (AD) pathogenesis is the production, aggregation, and deposition of amyloid-β (Aβ) peptide. Surface-enhanced Raman spectroscopy (SERS) is a promising analytical technique capable of providing valuable information on chemical composition and molecule conformations in biological samples. However, one of the main challenges for introducing the SERS technique into the practice is preparation of scalable and at the same time stable nanostructured sensors with uniform spatial distribution of nanoparticles. Herein, we propose SERS platforms for reproducible, sensitive, label-free quantification of amyloid-β aggregates for short-wavelength – 532 and 633 nm – lasers. A SERS sensor – based on silver nanoparticles immobilized into a chitosan film (AgNP/CS) – provided a uniform distribution of AgNPs from a colloidal suspension across the SERS sensor, resulting in nanomolar limits of detection (LODs) for Aβ42 aggregates with a portable 532 nm laser. The laser-induced deposition was used to obtain denser periodic plasmonic sensors (AgNP/LID) with a uniform nanoparticle distribution. The AgNP/LID SERS sensor allowed for 15 pM LOD for Aβ42 aggregates with 633 nm laser. Notably, both nanostructured substrates allowed to distinguish amyloid aggregates from monomers. Therefore, our approach demonstrated applicability of SERS for detection of macromolecular volumetric objects as amyloid-β aggregates for fundamental biological studies as well as for “point-of-care” diagnostics and screening for early stages of neurodegenerative diseases.

Postnatal neuronal Bace1 deletion impairs neuroblast and oligodendrocyte maturation.

Beta amyloid cleaving enzyme 1 (BACE1) is largely expressed by neurons and is the sole β-secretase for initiating the production of neuronal β-amyloid peptides (Aβ). To fully understand the physiological functions of neuronal BACE1, we used mouse genetic approach coupled with unbiased single nucleus RNA sequencing (snRNAseq) to investigate how targeted deletion of Bace1 in neurons, driven by Thy-1-Cre recombinase, would affect functions in the nervous system. Our transcriptome results revealed that BACE1 is essential for maturation of neural precursor cells and oligodendrocytes in mice. RNA velocity analysis confirmed deficit in the trajectory of neuroblasts in reaching the immature granule neuron state in young Bace1fl/fl; Thy1-cre mice. Further analysis of differential gene expression indicated changes in genes important for SNARE signaling, tight junction signaling, synaptogenesis and insulin secretion pathways. Morphological studies revealed a hypomyelination in Bace1fl/fl;Thy1-cre sciatic nerves, but no detectable myelination changes in the corpus callosum, despite clear reduction in myelination proteins in the brain. Functional studies showed reduction in long-term potential, defects in synaptogenesis and learning behavioral. Altogether, our results show that neuronal BACE1 is critical for optimal development of central and peripheral nervous system, and inhibition of neuronal BACE1 will result in deficits in synaptic functions and cognitive behaviors.

Levetiracetam alleviates cognitive decline in Alzheimer's disease animal model by ameliorating the dysfunction of the neuronal network.

BackgroundPatients with Alzheimer’s disease (AD) have a significantly higher risk of seizures than other individuals in an age-matched population, suggesting a close association between epilepsy and AD. We aimed to examine the effects of levetiracetam (LEV)—a drug for treating seizures—on learning and memory and the neuropathological features of AD.MethodsWe crossbred APP23 mice with microtubule-associated protein tau (MAPT) transgenic mice to generate APP23/MAPT mice. These mice were treated with different concentrations of LEV in the presence of kainic acid (KA) for 3 months.ResultsLow doses of LEV alleviated the effects of KA on memory defects in APP23/MAPT mice. Mechanistic investigations showed that low concentrations of LEV decreased tau phosphorylation by reducing the activities of cyclin-dependent kinase 5 and glycogen synthase kinase 3α/β, thus rescuing neurons from synaptic dystrophy and apoptosis. Low doses of LEV inhibited the effects of KA (i.e., inducing neuroinflammation and impairing the autophagy of amyloid β-peptide), thus improving cognitive decline. High concentrations of LEV decreased the production and deposition of amyloid β-peptide (Aβ) by reducing the expression of β-site APP-cleaving enzyme 1 and presenilin 1. However, high concentrations of LEV also induced neuronal apoptosis, decreased movement ability in mice, and did not alleviate cognitive decline in AD mice.ConclusionOur results support the hypothesis that aberrant network activity contributes to the synaptic and cognitive deficits in APP23/MAPT mice. A low concentration of LEV may help ameliorate abnormalities of AD; however, a high LEV concentration did not induce similar results.

Inactivation of BACE1 increases expression of endothelial nitric oxide synthase in cerebrovascular endothelium

Cerebrovascular effects of β-site amyloid precursor protein-cleaving enzyme 1 (BACE1) inactivation have not been systematically studied. In the present study we employed cultured human brain microvascular endothelial cells (BMECs), BACE1-knockout (BACE1−/−) mice and conditional (tamoxifen-induced) endothelium-specific BACE1-knockout (eBACE1−/−) mice to determine effect of BACE1 inhibition on expression and function of endothelial nitric oxide synthase (eNOS). Deletion of BACE1 caused upregulation of eNOS and glypican-1 (GPC1) in human BMECs treated with BACE1-siRNA, and cerebral microvessels of male BACE1−/− mice and male eBACE1−/− mice. In addition, BACE1siRNA treatment increased NO production in human BMECs. These effects appeared to be independent of amyloid β-peptide production. Furthermore, adenoviral-mediated overexpression of BACE1 in human BMECs down-regulated GPC1 and eNOS. Treatment of human BMECs with GPC1siRNA suppressed mRNA and protein levels of eNOS. In basilar arteries of male eBACE1−/− mice, endothelium-dependent relaxations to acetylcholine and endothelium-independent relaxations to NO donor, DEA-NONOate, were not affected, consistent with unchanged expression of eNOS and phosphorylation of eNOS at Ser1177 in large cerebral arteries. In aggregate, our findings suggest that under physiological conditions, inactivation of endothelial BACE1 increases expression of eNOS in cerebral microvessels but not in large brain arteries. This effect appears to be mediated by increased GPC1 expression.

The transmembrane domain of the amyloid precursor protein is required for antiamyloidogenic processing by α-secretase ADAM10

Neurotoxic amyloid β-peptides are thought to be a causative agent of Alzheimer’s disease in humans. The production of amyloid β-peptides from amyloid precursor protein (APP) could be diminished by enhancing α-processing; however, the physical interactions between APP and α-secretases are not well understood. In this study, we employed super-resolution light microscopy to examine in cell-free plasma membranes the abundance and association of APP and α-secretases ADAM10 (a disintegrin and metalloproteinase) and ADAM17. We found that both secretase molecules localize similarly closely to APP (within ≤50 nm). However, when cross-linking APP with antibodies directed against the GFP tag of APP, in confocal microscopy, we observed that only ADAM10 coaggregated with APP. Furthermore, we mapped the involved protein domain by using APP variants with an exchanged transmembrane segment or lacking cytoplasmic/extracellular domains. We identified that the transmembrane domain of APP is required for association with α-secretases and, as analyzed by Western blot, for α-processing. We propose that the transmembrane domain of APP interacts either directly or indirectly with ADAM10, but not with ADAM17, explaining the dominant role of ADAM10 in α-processing of APP. Further understanding of this interaction may facilitate the development of a therapeutic strategy based on promoting APP cleavage by α-secretases.

Modulation of amyloid precursor protein cleavage by γ-secretase activating protein through phase separation

Aberrant cleavage of amyloid precursor protein (APP) by γ-secretase is closely associated with Alzheimer’s disease (AD). γ-secretase activating protein (GSAP) specifically promotes γ-secretase–mediated cleavage of APP. However, the underlying mechanism remains enigmatic. Here, we demonstrate that the 16-kDa C-terminal fragment of GSAP (GSAP-16K) undergoes phase separation in vitro and forms puncta-like condensates in cells. GSAP-16K exerts dual modulation on γ-secretase cleavage; GSAP-16K in dilute phase increases APP–C-terminal 99-residue fragment (C99) cleavage toward preferred production of β-amyloid peptide 42 (Aβ42), but GSAP-16K condensates reduce APP-C99 cleavage through substrate sequestration. Notably, the Aβ42/Aβ40 ratio is markedly elevated with increasing concentrations of GSAP-16K. GSAP-16K stably associates with APP-C99 through specific sequence elements. These findings mechanistically explain GSAP-mediated modulation of γ-secretase activity that may have ramifications on the development of potential therapeutics.

Aβ42 Expressing Drosophila melanogaster Model for Alzheimer's Disease: Quantitative Proteomics Identifies Altered Protein Dynamics of Relevance to Neurodegeneration.

Production and deposition of β-amyloid peptides (Aβ) are among the major hallmarks of the pathogenesis of Alzheimer's disease (AD). Mapping the altered protein dynamics associated with Aβ accumulation and neuronal damage may open up new avenues to innovation for drug target discovery in AD. Using quantitative proteomics, we report new findings from the amyloid beta-peptide with 42 amino acids (Aβ42) expressing Drosophila melanogaster model for AD compared to that of the wild-type flies. We identified 302,241 peptide-spectrum matches with 25,641 nonredundant peptides corresponding to 7959 D. melanogaster proteins. Furthermore, we unraveled 538 significantly altered proteins in Aβ42 expressing flies. These differentially expressed proteins were enriched for biological processes associated with neuronal damage leading to AD progression. We also identified 463 unique post-translational modification events mapping to 202 proteins from the same dataset. Among these, 303 modified peptides corresponding to 246 proteins were also altered in the AD model. These modified proteins are known to be involved in the disruption of molecular functions maintaining neuronal plasticity. This study provides new molecular leads on altered protein dynamics relevant to neurodegeneration, neuroplasticity, and AD progression induced by Aβ42 toxicity. These proteins may prove useful to discover new drugs in an AD model of D. melanogaster and evaluate their efficacy and mode of molecular action in the future.

A novel therapeutic approach to treat Alzheimer's disease: The brain-specific signal peptide peptidase-like 2b (SPPL2b).

Alzheimer's disease (AD) is a multifactorial disorder in which the abnormal brain production of amyloid β-peptide (Aβ) plays a crucial role in its onset. Identifying new mechanisms and proteins involved in AD pathogenesis is critical to finding novel effective disease-altering therapeutic targets. The intramembrane enzyme Signal Peptide Peptidase Like 2b (SPPL2b), which belongs to the same protein family as presenilin, is a new potential target since it is involved in the proteolysis of two AD-related proteins: TNF-alpha and BRI2 involved in the inflammatory response and Aβ production respectively. Here we have investigated for the expression levels and the pathogenic role of SPPL2b in AD. The pathophysiological role of SPPL2b in Aβ metabolism was evaluated in vitro by using human cell lines SH-SY5Y and HEK293 stably expressing APP, in acute brain slices from WT mice, in brains of a new APP knock-in AD mouse model (AppNL-G-F ) and humans post mortem AD brain tissues. APP overexpression in SH-SY5Y cells increased SPPL2b expression, which was paralleled by reduced BRI2 levels. A reduction in Aβ40 production was observed in SH-SY5Y cells after inhibiting SPPL2b activity. In brain slices maintained ex vivo, Aβ42 exposure induced a strong upregulation of SPPL2b. Increased levels of SPPL2b were also observed in the cortex in the early stage of the AD-associated Aβ pathology of 3 months old AppNL-G-F . On the contrary, a lower SPPL2b expression was observed in 10 months old AppNL-G-F mice, when Aβ pathology is severe and accompanied by neuroinflammation, and similarly decreased in humans AD post mortem cortex. Furthermore, immunofluorescence staining showed that SPPL2b is expressed in neurons and glia deposited in the amyloid plaque, indicating a direct role of SPPL2b in Aβ plaques formation. These results strongly support the involvement of SPPL2b in AD pathology, and most important Aβ42 is directly involved in SPPL2b expression. Modulation of the SPPL2b activity, could be potentially beneficial in preventing both Aβ neurotoxicity and neuroinflammation. The brain-specificity and the few substrates related make of SPPL2b an attractive therapeutic target.

Presenilin/γ-Secretase Activity Is Located in Acidic Compartments of Live Neurons.

Presenilin (PSEN)/γ-secretase is a protease complex responsible for the proteolytic processing of numerous substrates. These substrates include the amyloid precursor protein (APP), the cleavage of which by γ-secretase results in the production of β-amyloid (Aβ) peptides. However, exactly where within the neuron γ-secretase processes APP C99 to generate Aβ and APP intracellular domain (AICD) is still not fully understood. Here, we employ novel Förster resonance energy transfer (FRET)-based multiplexed imaging assays to directly "visualize" the subcellular compartment(s) in which γ-secretase primarily cleaves C99 in mouse cortex primary neurons (from both male and female embryos). Our results demonstrate that γ-secretase processes C99 mainly in LysoTracker-positive low-pH compartments. Using a new immunostaining protocol which distinguishes Aβ from C99, we also show that intracellular Aβ is significantly accumulated in the same subcellular loci. Furthermore, we found functional correlation between the endo-lysosomal pH and cellular γ-secretase activity. Taken together, our findings are consistent with Aβ being produced from C99 by γ-secretase within acidic compartments such as lysosomes and late endosomes in living neurons.SIGNIFICANCE STATEMENT Alzheimer's disease (AD) genetics and histopathology highlight the importance of amyloid precursor protein (APP) processing by γ-secretase in pathogenesis. For the first time, this study has enabled us to directly "visualize" that γ-secretase processes C99 mainly in acidic compartments such as late endosomes and lysosomes in live neurons. Furthermore, we uncovered that intracellular β-amyloid (Aβ) is significantly accumulated in the same subcellular loci. Emerging evidence proposes the great importance of the endo-lysosomal pathway in mechanisms of misfolded proteins propagation (e.g., Tau, α-Syn). Therefore, the predominant processing of C99 and enrichment of Aβ in late endosomes and lysosomes may be critical events in the molecular cascade leading to AD.

Discovery of aryl aminothiazole γ-secretase modulators with novel effects on amyloid β-peptide production

A series of analogs based on a prototype aryl aminothiazole γ-secretase modulator (GSM) were synthesized and tested for their effects on the profile of 37-to-42-residue amyloid β-peptides (Aβ), generated through processive proteolysis of precursor protein substrate by γ-secretase. Certain substitutions on the terminal aryl D ring resulted in an altered profile of Aβ production compared to that seen with the parent molecule. Small structural changes led to concentration-dependent increases in Aβ37 and Aβ38 production without parallel decreases in their precursors Aβ40 and Aβ42, respectively. The new compounds therefore apparently also stimulate carboxypeptidase trimming of Aβ peptides ≥ 43 residues, providing novel chemical tools for mechanistic studies of processive proteolysis by γ-secretase.

Classification of beta-site amyloid precursor protein cleaving enzyme 1 inhibitors by using machine learning methods.

The beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a transmembrane aspartyl-protease, that cleaves amyloid precursor protein (APP) at the β-site. The sequential proteolytic cleavage of APP, first by β-secretaseand then by γ-secretase complex, leads to the production and release of amyloid-β peptide, a pathological hallmark of Alzheimer's disease (AD). BACE1 inhibitors are reported to possess considerable potential in decreasing the level of amyloid-β in brain and preventing the progression of AD. A classification study has been conducted on 3536 diverse BACE1 inhibitors, obtained from Binding DB database, by extracting two types of descriptors, that is molecular property (Mordred) and fingerprints (Pubchem, MACCS and KRFP). Furthermore, based on the descriptors, various machine learning algorithms such as Naïve Bayesian (NB), nearest known neighbours (kNN), support vector machine (SVM), random forest (RF) and gradient-boosted algorithms (XGB) were applied to develop classification models. The performance of models was evaluated by using accuracy, precision, recall and F1 score of test set. The best NB, kNN, SVM, RF and XGB classifiers had F1 score of 0.74, 0.85, 0.86, 0.87 and 0.87, respectively. The diverse 3536 BACE1 inhibitors were clustered into 11 subsets, and the structural features of each subset were evaluated. The important fragments present in active and inactive compounds were also identified. The model developed in the study would serve as a valuable tool for the designing of BACE1 inhibitors, and also in virtual screening of molecules to identify these.

The case for low-level BACE1 inhibition for the prevention of Alzheimer disease.

Alzheimer disease (AD) is the most common cause of dementia in older individuals (>65 years) and has a long presymptomatic phase. Preventive therapies for AD are not yet available, and potential disease-modifying therapies targeting amyloid-β plaques in symptomatic stages of AD have only just been approved in the United States. Small-molecule inhibitors of β-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1; also known as β-secretase 1) reduce the production of amyloid-β peptide and are among the most advanced drug candidates for AD. However, to date all phase II and phase III clinical trials of BACE inhibitors were either concluded without benefit or discontinued owing to futility or the occurrence of adverse effects. Adverse effects included early, mild cognitive impairment that was associated with all but one inhibitor; preliminary results suggest that the cognitive effects are non-progressive and reversible. These discontinuations have raised questions regarding the suitability of BACE1 as a drug target for AD. In this Perspective, we discuss the status of BACE inhibitors and suggest ways in which the results of the discontinued trials can inform the development of future clinical trials of BACE inhibitors and related secretase modulators as preventative therapies. We also propose a series of experiments that should be performed to inform 'go-no-go' decisions in future trials with BACE inhibitors and consider the possibility that low levels of BACE1 inhibition could avoid adverse effects while achieving efficacy for AD prevention.

Emerging small-molecule therapeutic approaches for Alzheimer's disease and Parkinson's disease based on targeting microRNAs.

Emerging small-molecule therapeutic approaches for Alzheimer's disease and Parkinson's disease based on targeting microRNAs.

HnRNP F and hnRNP H1 regulate mRNA stability of amyloid precursor protein.

Amyloid precursor protein (APP) is a transmembrane protein that plays a crucial role in the production of amyloid-β peptides. Any disruption in APP protein production, its mRNA decay rate or processing may result in abnormal production of amyloid-β peptides and subsequent development of protein aggregation diseases. Therefore, the equilibrium is crucial for neuronal function. An association study of heterogeneous nuclear ribonucleoprotein (hnRNP)-F and hnRNP H1 with APP was carried out in Neuro-2a (N2a) cells. In the present study, we found that hnRNP F and hnRNP H1 were significantly upregulated in the hippocampus of APP/PS1 mice. The changes in APP expression were positively associated with hnRNP F and hnRNP H1 when hnRNP F and hnRNP H1 were depleted or increased in N2a cells. Importantly, cross-linked RNA immunoprecipitation demonstrated binding affinities of hnRNP F and hnRNP H1 for App mRNA. Mechanistically, mRNA stability assay revealed that overexpression of hnRNP F or hnRNP H1 increases the APP level by stabilizing App mRNA half-life, implying that levels of hnRNP F and hnRNP H1 can change the production of APP. Further understanding of the regulatory mechanism of APP expression in association with hnRNP F and hnRNP H1 would provide insights into the mechanism underlying the maintenance of brain health and cognition. This study provides a theoretical basis for the development of hnRNP-stabilizing compounds to regulate APP.

Protein Predictive Modeling and Simulation of Mutations of Presenilin-1 Familial Alzheimer's Disease on the Orthosteric Site.

Alzheimer’s disease pathology is characterized by β-amyloid plaques and neurofibrillary tangles. Amyloid precursor protein is processed by β and γ secretase, resulting in the production of β-amyloid peptides with a length ranging from 38 to 43 amino acids. Presenilin 1 (PS1) is the catalytic unit of γ-secretase, and more than 200 PS1 pathogenic mutations have been identified as causative for Alzheimer’s disease. A complete monocrystal structure of PS1 has not been determined so far due to the presence of two flexible domains. We have developed a complete structural model of PS1 using a computational approach with structure prediction software. Missing fragments Met1-Glut72 and Ser290-Glu375 were modeled and validated by their energetic and stereochemical characteristics. Then, with the complete structure of PS1, we defined that these fragments do not have a direct effect in the structure of the pore. Next, we used our hypothetical model for the analysis of the functional effects of PS1 mutations Ala246GLu, Leu248Pro, Leu248Arg, Leu250Val, Tyr256Ser, Ala260Val, and Val261Phe, localized in the catalytic pore. For this, we used a quantum mechanics/molecular mechanics (QM/MM) hybrid method, evaluating modifications in the topology, potential surface density, and electrostatic potential map of mutated PS1 proteins. We found that each mutation exerts changes resulting in structural modifications of the active site and in the shape of the pore. We suggest this as a valid approach for functional studies of PS1 in view of the possible impact in substrate processing and for the design of targeted therapeutic strategies.

Structural Studies Providing Insights into Production and Conformational Behavior of Amyloid-β Peptide Associated with Alzheimer's Disease Development.

Alzheimer’s disease is the most common type of neurodegenerative disease in the world. Genetic evidence strongly suggests that aberrant generation, aggregation, and/or clearance of neurotoxic amyloid-β peptides (Aβ) triggers the disease. Aβ accumulates at the points of contact of neurons in ordered cords and fibrils, forming the so-called senile plaques. Aβ isoforms of different lengths are found in healthy human brains regardless of age and appear to play a role in signaling pathways in the brain and to have neuroprotective properties at low concentrations. In recent years, different substances have been developed targeting Aβ production, aggregation, interaction with other molecules, and clearance, including peptide-based drugs. Aβ is a product of sequential cleavage of the membrane glycoprotein APP (amyloid precursor protein) by β- and γ-secretases. A number of familial mutations causing an early onset of the disease have been identified in the APP, especially in its transmembrane domain. The mutations are reported to influence the production, oligomerization, and conformational behavior of Aβ peptides. This review highlights the results of structural studies of the main proteins involved in Alzheimer’s disease pathogenesis and the molecular mechanisms by which perspective therapeutic substances can affect Aβ production and nucleation.

Alcohol consumption and cognitive aging: can it be beneficial?

We present a literature review which summarizes the data supporting one of the alternative perspectives on the effect of alcohol consumption on cognitive aging – the possible positive effect of low to moderate drinking. Some of the main theories about aging, the mechanisms of brain aging, and the pathogenesis of cognitive decline and dementia are briefly described. In this context, the putative mechanisms of the protective action of non-alcoholic components in alcoholic beverages or low doses of ethanol against oxidative stress, inflammation, mitochondrial dysfunction, brain insulin resistance, and production of amyloid-β peptides are presented. The review article does not favor the data selected and highlighted, but it aims at inspiring more interest and further research on the topic.

A β-Amyloid(1-42) Biosensor Based on Molecularly Imprinted Poly-Pyrrole for Early Diagnosis of Alzheimer's Disease.

Background: Alzheimer’s disease (AD) is a common form of dementia, characterized by production and deposition of β-amyloid peptide in the brain. Thus, β-amyloid peptide is a potentially promising biomarker used to diagnose and monitor the progression of AD. Objective: The study aims to develop a biosensor based on a molecularly imprinted poly-pyrrole for detection of β-amyloid.Material and Methods: In this experimental study, an imprinted poly-pyrrole was employed as an artificial receptor synthesized by electro-polymerization of pyrrole on screen-printed carbon electrodes in the presence of β-amyloid. β-amyloid acts as a molecular template within the polymer. The biosensor was evaluated by cyclic voltammetry using ferro/ferricyanide marker. The parameters influencing the biosensor performance, including electro-polymerization cycle umbers and β-amyloid binding time were optimized to achieve the best biosensor sensitivity. Results: The β-amyloid binding affinity with the biosensor surface was evaluated by the Freundlich isotherm, and Freundlich constant and exponent were obtained as 0.22 ng mL-1 and 10.60, respectively. The biosensor demonstrated a detection limit of 1.2 pg mL-1. The biosensor was applied for β-amyloid determination in artificial cerebrospinal fluid. Conclusion: The biosensor is applicable for early Alzheimer’s disease detection.

Fluorescent indolizine derivative YI-13 detects amyloid-β monomers, dimers, and plaques in the brain of 5XFAD Alzheimer transgenic mouse model.

Alzheimer disease (AD) is a neurodegenerative disorder characterized by the aberrant production and accumulation of amyloid-β (Aβ) peptides in the brain. Accumulated Aβ in soluble oligomer and insoluble plaque forms are considered to be a pathological culprit and biomarker of the disorder. Here, we report a fluorescent universal Aβ-indicator YI-13, 5-(4-fluorobenzoyl)-7,8-dihydropyrrolo[1,2-b]isoquinolin-9(6H)-one, which detects Aβ monomers, dimers, and plaques. We synthesized a library of 26 fluorescence chemicals with the indolizine core and screen them through a series of in vitro tests utilizing Aβ as a target and YI-13 was selected as the final imaging candidate. YI-13 was found to stain and visualize insoluble Aβ plaques in the brain tissue, of a transgenic mouse model with five familial AD mutations (5XFAD), by a histochemical approach and to label soluble Aβ oligomers within brain lysates of the mouse model under a fluorescence plate reader. Among oligomers aggregated from monomers and synthetic dimers from chemically conjugated monomers, YI-13 preferred the dimeric Aβ.