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Alzheimer's disease (AD) is an age‐related neurodegenerative disorder characterized by amyloid‐β (Aβ) deposition and neurofibrillary tangles. Although the NAD + ‐dependent deacetylases SIRT1 and SIRT2 play pivotal roles in age‐related diseases, their cooperative effects in AD have not yet been elucidated. Here, we report that the SIRT2:SIRT1 ratio is elevated in the brains of aging mice and in the AD mouse models. In HT22 mouse hippocampal neuronal cells, Aβ challenge correlates with decreased SIRT1 expression, while SIRT2 expression is increased. Overexpression of SIRT1 prevents Aβ‐induced neurotoxicity. We find that SIRT1 impedes SIRT2‐mediated APP deacetylation by inhibiting the binding of SIRT2 to APP. Deletion of SIRT1 reduces APP recycling back to the cell surface and promotes APP transiting toward the endosome, thus contributing to the amyloidogenic processing of APP. Our findings define a mechanism for neuroprotection by SIRT1 through suppression of SIRT2 deacetylation, and provide a promising avenue for therapeutic intervention of AD.

Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease characterized by a progressive cognitive decline associated with global brain damage. Initially, intracellular paired helical filaments composed by hyperphosphorylated tau and extracellular deposits of amyloid-β (Aβ) were postulated as the causing factors of the synaptic dysfunction, neuroinflammation, oxidative stress, and neuronal death, detected in AD patients. Therefore, the vast majority of clinical trials were focused on targeting Aβ and tau directly, but no effective treatment has been reported so far. Consequently, only palliative treatments are currently available for AD patients. Over recent years, several studies have suggested the involvement of the purinergic receptor P2X7 (P2X7R), a plasma membrane ionotropic ATP-gated receptor, in the AD brain pathology. In this line, altered expression levels and function of P2X7R were found both in AD patients and AD mouse models. Consequently, genetic depletion or pharmacological inhibition of P2X7R ameliorated the hallmarks and symptoms of different AD mouse models. In this review, we provide an overview of the current knowledge about the role of the P2X7R in AD.

With the continued spread of human immunodeficiency virus 1 (HIV-1) and its ability to enter and persist within the central nervous system (CNS), concerns have arisen regarding its impact on cognitive health. Indeed, during the early stages of the HIV pandemic, when effective treatments were unavailable, severe neurocognitive impairment was common. Although the widespread use of antiretroviral therapy (ART) has markedly reduced the severity, milder forms of HIV-associated neurocognitive disorders (HAND) remain prevalent. Similar to Alzheimer's disease (AD), elevated amyloid-β (Aβ) accumulation has been observed both intracellularly and extracellularly in the brains of HIV-infected individuals, based on autopsy studies. Aβ is generated through the amyloidogenic processing of amyloid precursor protein (APP), which is abundantly expressed in the brain. While the APP's role in AD pathogenesis has been well established, its broader physiological functions, particularly in the context of viral infections such as HIV-1, remain poorly understood. In the CNS, microglia are crucial for maintaining brain homeostasis and defending against viral infections. HIV-1, however, targets microglia, disrupting their antiviral capacity and contributing to neurotoxicity through multiple mechanisms, such as the release of viral proteins and host-derived neurotoxic factors including proinflammatory cytokines and Aβ. Moreover, HIV-infected microglia can influence neighboring cells such as astrocytes and neurons, further amplifying neurodegenerative processes. This review will focus on recent advances in understanding the antiviral role of APP and its processing during HIV-1 infection, highlighting how APP-mediated defense mechanisms intersect with neurotoxic pathways and the intercellular regulatory networks that link APP to HAND.

Organelles in neuronal dendrites facilitate local metabolic processes and energy supply, crucial for dendrite development and neurodegenerative diseases. The distinct functions of dendritic organelles have been well studied, however, their crosstalk under physiological and pathological contexts remains elusive. We aimed to establish an model system of contacts between multi-organelles for investigating the modulation of inter-organelle crosstalk in Alzheimer's disease (AD). A dendrite model of organelle contacts was developed in neurons using a set of proximity-driven probes and four-color Airyscan super-resolution imaging. The systematic modulations among multiple contact sites (CSs) between organelles were examined by manipulating CS tethers and vesicular transporters. Finally, perturbations of these CSs and the dendrite structure in the amyloidogenic processing of amyloid precursor protein (APP) were evaluated by introducing three stages of the processing in this model system. A dynamic network, interconnected via CSs and organized with multi-organelle contacts, was presented among Golgi outposts, the endoplasmic reticulum, lysosomes, and mitochondria (GELM). The CS modulations were found to encompass both their density and motility. Notably, multi-CSs participated in complementary modulations spanning across different cellular pathways. Furthermore, the CS network was revealed to be progressively disturbed in APP amyloidogenic processing, with upregulations in density and motility extending from single- to multi-CSs. These CS perturbations, along with defects in dendrite structural plasticity, could be partially rescued by knocking down Miro. The elucidation of CS modulation modes in the GELM network model reveals a cascaded dysregulation of organelle crosstalk during APP amyloidogenic processing. It expands the mechanisms of inter-organelle communication and provides novel insights into neurodegeneration in AD pathology.

The extent of proteolytic processing of the amyloid precursor protein (APP) into neurotoxic amyloid‐β (Aβ) peptides is central to the pathology of Alzheimer's disease (AD). Accordingly, modifiers that increase Aβ production rates are risk factors in the sporadic form of AD. In a novel systems biology approach, we combined quantitative biochemical studies with mathematical modelling to establish a kinetic model of amyloidogenic processing, and to evaluate the influence by SORLA/SORL1, an inhibitor of APP processing and important genetic risk factor. Contrary to previous hypotheses, our studies demonstrate that secretases represent allosteric enzymes that require cooperativity by APP oligomerization for efficient processing. Cooperativity enables swift adaptive changes in secretase activity with even small alterations in APP concentration. We also show that SORLA prevents APP oligomerization both in cultured cells and in the brain in vivo , eliminating the preferred form of the substrate and causing secretases to switch to a less efficient non‐allosteric mode of action. These data represent the first mathematical description of the contribution of genetic risk factors to AD substantiating the relevance of subtle changes in SORLA levels for amyloidogenic processing as proposed for patients carrying SORL1 risk alleles. This study puts forward a kinetic model for the processing of amyloid precursor protein (APP) relevant for Alzheimer's disease. APP oligomerization exerts a cooperative effect, causing large changes in processing efficiency in response to subtle differences in the level of SORLA, an inhibitor of APP processing and Alzheimer's risk factor.

Background Proteolytic breakdown of the amyloid precursor protein (APP) by secretases is a complex cellular process that results in formation of neurotoxic Aβ peptides, causative of neurodegeneration in Alzheimer’s disease (AD). Processing involves monomeric and dimeric forms of APP that traffic through distinct cellular compartments where the various secretases reside. Amyloidogenic processing is also influenced by modifiers such as sorting receptor-related protein (SORLA), an inhibitor of APP breakdown and major AD risk factor. Results In this study, we developed a multi-compartment model to simulate the complexity of APP processing in neurons and to accurately describe the effects of SORLA on these processes. Based on dose–response data, our study concludes that SORLA specifically impairs processing of APP dimers, the preferred secretase substrate. In addition, SORLA alters the dynamic behavior of β-secretase, the enzyme responsible for the initial step in the amyloidogenic processing cascade. Conclusions Our multi-compartment model represents a major conceptual advance over single-compartment models previously used to simulate APP processing; and it identified APP dimers and β-secretase as the two distinct targets of the inhibitory action of SORLA in Alzheimer’s disease.

PurposeObservational studies have frequently reported that low blood folate concentrations are associated with poor cognitive performance. Our previous studies have shown the potential beneficial effect on the metabolite levels of methionine cycle and peripheral blood inflammatory cytokines from 6- and 12-month folic acid supplementation on cognitive function in mild cognitive impairment (MCI). This study aims to continue exploring the effect of 24-month folic acid supplementation on cognitive function and pathological mechanism in MCI.Methods180 individuals with MCI were identified and randomly divided into intervention (folic acid 400 µg/day, n = 90) and convention (n = 90) groups. Cognitive function (WAIS-RC) and blood Aβ-related biomarkers were measured at baseline and at 6, 12, 18, and 24 months. Data were analyzed using generalized estimating equation. This trial has been registered with Trial Number: ChiCTR-TRC-13003227.ResultsDuring the follow-up, scores of full scale IQ, verbal IQ, and subdomains of Information and Digit Span were significantly higher in the intervention group than those in the convention group (P < 0.05). In the intervention group, blood homocysteine, S-adenosylhomocysteine (SAH), Aβ-42, and the expression of APP-mRNA were decreased (P < 0.05), while S-adenosylmethionine (SAM), SAM/SAH ratio, and the expression of DNA methyltransferase mRNA were increased (P < 0.05).ConclusionFolic acid supplementation appears to improve cognitive function and reduce blood levels of Aβ-related biomarkers in MCI. Larger-scale double-blind placebo-controlled randomized trials of longer duration are needed.

Tau is a microtubule-associated protein involved in regulation of assembly and spatial organization of microtubule in neurons. However, in pathological conditions, tau monomers assemble into amyloid filaments characterized by the cross-β structures in a number of neurodegenerative diseases known as tauopathies. In this review, we summarize recent progression on the characterization of structures of tau monomer and filament, as well as the dynamic liquid droplet assembly. Our aim is to reveal how post-translational modifications, amino acid mutations, and interacting molecules modulate the conformational ensemble of tau monomer, and how they accelerate or inhibit tau assembly into aggregates. Structure-based aggregation inhibitor design is also discussed in the context of dynamics and heterogeneity of tau structures.

The misfolding and aggregation of proteins is the neuropathological hallmark for numerous diseases including Alzheimer’s disease, Parkinson’s disease, and prion diseases. It is believed that misfolded and abnormal β-sheets forms of wild-type proteins are the vectors of these diseases by acting as seeds for the aggregation of endogenous proteins. Cellular prion protein (PrPC) is a glycosyl-phosphatidyl-inositol (GPI) anchored glycoprotein that is able to misfold to a pathogenic isoform PrPSc, the causative agent of prion diseases which present as sporadic, dominantly inherited and transmissible infectious disorders. Increasing evidence highlights the importance of prion-like seeding as a mechanism for pathological spread in Alzheimer’s disease and Tauopathy, as well as other neurodegenerative disorders. Here, we report the latest findings on the mechanisms controlling protein folding, focusing on the ER (Endoplasmic Reticulum) quality control of GPI-anchored proteins and describe the “prion-like” properties of amyloid-β and tau assemblies. Furthermore, we highlight the importance of pathogenic assemblies interaction with protein and lipid membrane components and their implications in both prion and Alzheimer’s diseases

Recent advances in deep learning and imaging technologies have revolutionized automated medical image analysis, especially in diagnosing Alzheimer’s disease through neuroimaging. Despite the availability of various imaging modalities for the same patient, the development of multi-modal models leveraging these modalities remains underexplored. This paper addresses this gap by proposing and evaluating classification models using 2D and 3D MRI images and amyloid PET scans in uni-modal and multi-modal frameworks. Our findings demonstrate that models using volumetric data learn more effective representations than those using only 2D images. Furthermore, integrating multiple modalities enhances model performance over single-modality approaches significantly. We achieved state-of-the-art performance on the OASIS-3 cohort. Additionally, explainability analyses with Grad-CAM indicate that our model focuses on crucial AD-related regions for its predictions, underscoring its potential to aid in understanding the disease’s causes.