Pathological Features Of Alzheimer's Disease Research Articles

Identifying the Role of Oligodendrocyte Genes in the Diagnosis of Alzheimer's Disease through Machine Learning and Bioinformatics Analysis.

Due to the heterogeneity of Alzheimer's disease (AD), the underlying pathogenic mechanisms have not been fully elucidated. Oligodendrocyte (OL) damage and myelin degeneration are prevalent features of AD pathology. When oligodendrocytes are subjected to amyloid-beta (Aβ) toxicity, this damage compromises the structural integrity of myelin and results in a reduction of myelin-associated proteins. Consequently, the impairment of myelin integrity leads to a slowdown or cessation of nerve signal transmission, ultimately contributing to cognitive dysfunction and the progression of AD. Consequently, elucidating the relationship between oligodendrocytes and AD from the perspective of oligodendrocytes is instrumental in advancing our understanding of the pathogenesis of AD. Here, an attempt is made in this study to identify oligodendrocyte-related biomarkers of AD. AD datasets were obtained from the Gene Expression Omnibus database and used for consensus clustering to identify subclasses. Hub genes were identified through differentially expressed genes (DEGs) analysis and oligodendrocyte gene set enrichment. Immune infiltration analysis was conducted using the CIBERSORT method. Signature genes were identified using machine learning algorithms and logistic regression. A diagnostic nomogram for predicting AD was developed and validated using external datasets and an AD model. A small molecular compound was identified using the eXtreme Sum algorithm. 46 genes were found to be significantly correlated with AD progression by examining the overlap between DEGs and oligodendrocyte genes. Two subclasses of AD, Cluster A, and Cluster B, were identified, and 9 signature genes were identified using a machine learning algorithm to construct a nomogram. Enrichment analysis showed that 9 genes are involved in apoptosis and neuronal development. Immune infiltration analysis found differences in immune cell presence between AD patients and controls. External datasets and RT-qPCR verification showed variation in signature genes between AD patients and controls. Five small molecular compounds were predicted. It was found that 9 oligodendrocyte genes can be used to create a diagnostic tool for AD, which could help in developing new treatments.

Exploring the role of HIF-1α on pathogenesis in Alzheimer's disease and potential therapeutic approaches.

Hypoxia-inducible factor 1α (HIF-1α) is a crucial transcription factor that regulates cellular responses to low oxygen levels (hypoxia). In Alzheimer's disease (AD), emerging evidence suggests a significant involvement of HIF-1α in disease pathogenesis. AD is characterized by the accumulation of amyloid-beta (Aβ) plaques and neurofibrillary tangles (NFTs), leading to neuronal dysfunction and cognitive decline. HIF-1α is implicated in AD through its multifaceted roles in various cellular processes. Firstly, in response to hypoxia, HIF-1α promotes the expression of genes involved in angiogenesis, which is crucial for maintaining cerebral blood flow and oxygen delivery to the brain. However, in the context of AD, dysregulated HIF-1α activation may exacerbate cerebral hypoperfusion, contributing to neuronal damage. Moreover, HIF-1α is implicated in the regulation of Aβ metabolism. It can influence the production and clearance of Aβ peptides, potentially modulating their accumulation and toxicity in the brain. Additionally, HIF-1α activation has been linked to neuroinflammation, a key feature of AD pathology. It can promote the expression of pro-inflammatory cytokines and exacerbate neuronal damage. Furthermore, HIF-1α may play a role in synaptic plasticity and neuronal survival, which are impaired in AD. Dysregulated HIF-1α signaling could disrupt these processes, contributing to cognitive decline and neurodegeneration. Overall, the involvement of HIF-1α in various aspects of AD pathophysiology highlights its potential as a therapeutic target. Modulating HIF-1α activity could offer novel strategies for mitigating neurodegeneration and preserving cognitive function in AD patients. However, further research is needed to elucidate the precise mechanisms underlying HIF-1α dysregulation in AD and to develop targeted interventions.

Molecular mechanisms underlying amyloid beta peptide mediated upregulation of vascular cell adhesion molecule-1 in Alzheimer's disease.

Amyloid beta (Aβ) deposition and neurofibrillary tangles are widely considered as the primary pathological hallmarks of familial and sporadic forms of Alzheimer's disease (AD). However, cerebrovascular inflammation, which is prevalent in 70% of AD patients is emerging as another core feature of AD pathology. In addition, activation of inflammatory signaling pathways have been observed in AD patients; specifically, cerebrovascular inflammation was found to be augmented in Alzheimer's patients. Our studies have demonstrated that the inflammation signaling pathway is upregulated in AD patient brains. Moreover, vascular cell adhesion molecule-1 (VCAM-1), a cerebrovascular inflammatory marker expressed on the blood-brain barrier (BBB) endothelium, was observed to be upregulated in APP,PS1 mice (a mouse model that overexpresses Ab42), as detected by dynamic SPEC/CT imaging. While there is a strong association between Aβ42 exposure and an increase in VCAM-1 expression, the mechanisms underlying the influence of Aβ42 on VCAM-1 expression remain understudied. Therefore, we investigated the hypothesis that Ab42 exposure increases VCAM-1 expression in human cerebral microvascular endothelial cell (hCMEC/D3) monolayers. In addition, reverse phase protein array assays (RPPA) and immunocytochemistry demonstrated that Ab42 increases VCAM-1 expression through the Src/p38/MEK signaling pathway specifically within the blood-brain barrier (BBB) endothelium. In summary, these results demonstrate that Ab42 augments cerebrovascular inflammation by elevating VCAM-1 expression via Src/MEK/p38 pathway. Hence, targeting VCAM-1 at the BBB as a diagnostic and therapeutic marker may hold potential for detecting and mitigating cerebrovascular inflammation in Alzheimer's disease. Significance Statement While considered a core pathological feature of Alzheimer's disease, molecular pathways leading to cerebrovascular inflammation remain partially understood. Moreover, clinical diagnostic methods for detecting cerebrovascular inflammation are underdeveloped. In this study, we demonstrated VCAM-1 detection using radio-iodinated VCAM-1 antibody and SPECT/CT imaging. The study demonstrated that the exposure to Aβ42 increases VCAM-1 expression on the BBB endothelium via Src/p38/MEK pathway. These findings are expected to aid in the development of diagnostic and therapeutic approaches for addressing cerebrovascular inflammation in AD.

Targeting Metals in Alzheimer's Disease: An Update.

One pathological feature of Alzheimer's disease (AD) is the dysregulated metal ions, e.g., zinc, copper, and iron in the affected brain regions. The dysregulation of metal homeostasis may cause neurotoxicity and directly addressing these dysregulated metals through metal chelation or mitigating the downstream neurotoxicity stands as a pivotal strategy for AD therapy. This review aims to provide an up-to-date comprehensive overview of the application of metal chelators and drugs targeting metal-related neurotoxicity, such as antioxidants (ferroptotic inhibitors), in the context of AD treatment. It encompasses an exploration of their pharmacological effects, clinical research progress, and potential underlying mechanisms.

Functional Magnetic Resonance Imaging in Alzheimer's Disease Drug Trials: A Mini-Review.

Alzheimer's disease (AD) is a progressive neurodegenerative pathology that leads to cognitive decline and dementia, particularly in older adults. It disrupts brain structure and function, with neurotoxic amyloid-β (Aβ) plaques being a primary pathological hallmark. Pharmacotherapeutic trials targeting Aβ and other AD pathological features aim to slow disease progression. Functional magnetic resonance imaging (fMRI) is a non-invasive tool that visualizes brain functional activity, aiding in evaluating the efficacy of AD drugs in clinical trials. This mini-review explores the role of fMRI in evaluating the impact of AD pharmacotherapeutic clinical trials conducted in the past seven years. Literature was systematically searched using two databases. The risk of bias was assessed with the Revised Cochrane risk-of-bias tool (RoB-2) for randomized clinical trials (RCTs). Four studies using fMRI to investigate AD drug efficacy were included. Cholinesterase, glutamatergic, and serotonergic drugs showed significant positive effects on brain functional activity, especially within the default mode network. Functional connectivity (FC) changes due to drug intake were linked to cerebellar and cholinergic decline in AD, correlating with improved global cognition and fMRI task performance. Recent RCTs demonstrate fMRI's ability to reveal longitudinal FC pattern changes in response to AD drug treatments across disease stages. Positive FC changes in distinct brain regions suggest potential compensatory mechanisms from drug intake. However, these drugs have limited efficacy, necessitating further research to enhance specific pharmacological interventions for clinical application.

Metabolomic and Proteomic Analysis of ApoE4-Carrying H4 Neuroglioma Cells in Alzheimer's Disease Using OrbiSIMS and LC-MS/MS.

Growing clinical evidence reveals that systematic molecular alterations in the brain occur 20 years before the onset of AD pathological features. Apolipoprotein E4 (ApoE4) is one of the most significant genetic risk factors for Alzheimer's disease (AD), which is not only associated with the AD pathological features such as amyloid-β deposition, phosphorylation of tau proteins, and neuroinflammation but is also involved in metabolism, neuron growth, and synaptic plasticity. Multiomics, such as metabolomics and proteomics, are applied widely in identifying key disease-related molecular alterations and disease-progression-related changes. Despite recent advances in the development of analytical technologies, screening the entire profile of metabolites remains challenging due to the numerous classes of compounds with diverse chemical properties that require different extraction processes for mass spectrometry. In this study, we utilized Orbitrap Secondary Ion Mass Spectrometry (OrbiSIMS) as a chemical filtering screening tool to examine molecular alterations in ApoE4-carried neuroglioma cells compared to wild-type H4 cells. The findings were compared using liquid chromatography (LC)-MS/MS targeted metabolomics analysis for the confirmation of specific metabolite classes. Detected alterations in peptide fragments by OrbiSIMS provided preliminary indications of protein changes. These were extensively analyzed through proteomics to explore ApoE4's impact on proteins. Our metabolomics approach, combining OrbiSIMS and LC-MS/MS, revealed disruptions in lipid metabolism, including glycerophospholipids and sphingolipids, as well as amino acid metabolism, encompassing alanine, aspartate, and glutamate metabolism; aminoacyl-tRNA biosynthesis; glutamine metabolism; and taurine and hypotaurine metabolism. Further LC-MS/MS proteomics studies confirmed the dysfunction in amino acid and tRNA aminoacylation metabolic processes, and highlighted RNA splicing alterations influenced by ApoE4.

Temporal-Focusing Multiphoton Excitation Single-Molecule Localization Microscopy Using Spontaneously Blinking Fluorophores.

Single-molecule localization microscopy (SMLM) based on temporal-focusing multiphoton excitation (TFMPE) and single-wavelength excitation is used to visualize the three-dimensional (3D) distribution of spontaneously blinking fluorophore-labeled subcellular structures in a thick specimen with a nanoscale-level spatial resolution. To eliminate the photobleaching effect of unlocalized molecules in out-of-focus regions for improving the utilization rate of the photon budget in 3D SMLM imaging, SMLM with single-wavelength TFMPE achieves wide-field and axially confined two-photon excitation (TPE) of spontaneously blinking fluorophores. TPE spectral measurement of blinking fluorophores is then conducted through TFMPE imaging at a tunable excitation wavelength, yielding the optimal TPE wavelength for increasing the number of detected photons from a single blinking event during SMLM. Subsequently, the TPE fluorescence of blinking fluorophores is recorded to obtain a two-dimensional TFMPE-SMLM image of the microtubules in cancer cells with a localization precision of 18±6 nm and an overall imaging resolution of approximately 51 nm, which is estimated based on the contribution of Nyquist resolution and localization precision. Combined with astigmatic imaging, the system is capable of 3D TFMPE-SMLM imaging of brain tissue section of a 5XFAD transgenic mouse with the pathological features of Alzheimer's disease, revealing the distribution of neurotoxic amyloid-beta peptide deposits.

Temporal‐Focusing Multiphoton Excitation Single‐Molecule Localization Microscopy Using Spontaneously Blinking Fluorophores

AbstractSingle‐molecule localization microscopy (SMLM) based on temporal‐focusing multiphoton excitation (TFMPE) and single‐wavelength excitation is used to visualize the three‐dimensional (3D) distribution of spontaneously blinking fluorophore‐labeled subcellular structures in a thick specimen with a nanoscale‐level spatial resolution. To eliminate the photobleaching effect of unlocalized molecules in out‐of‐focus regions for improving the utilization rate of the photon budget in 3D SMLM imaging, SMLM with single‐wavelength TFMPE achieves wide‐field and axially confined two‐photon excitation (TPE) of spontaneously blinking fluorophores. TPE spectral measurement of blinking fluorophores is then conducted through TFMPE imaging at a tunable excitation wavelength, yielding the optimal TPE wavelength for increasing the number of detected photons from a single blinking event during SMLM. Subsequently, the TPE fluorescence of blinking fluorophores is recorded to obtain a two‐dimensional TFMPE‐SMLM image of the microtubules in cancer cells with a localization precision of 18±6 nm and an overall imaging resolution of approximately 51 nm, which is estimated based on the contribution of Nyquist resolution and localization precision. Combined with astigmatic imaging, the system is capable of 3D TFMPE‐SMLM imaging of brain tissue section of a 5XFAD transgenic mouse with the pathological features of Alzheimer's disease, revealing the distribution of neurotoxic amyloid‐beta peptide deposits.

Graphene Oxide, a Prominent Nanocarrier to Reduce the Toxicity of Alzheimer's Proteins: A Revolution in Treatment.

Graphene oxide, a derivative of graphene, has recently emerged as a promising nanomaterial in the biomedical field due to its unique properties. Its potential as a nanocarrier in the treatment of Alzheimer's disease represents a significant advancement. This abstract outlines a study focused on utilizing graphene oxide to reduce the toxicity of Alzheimer's proteins, marking a revolutionary approach in treatment strategies. The pathological features of Alzheimer's disease, primarily focusing on the accumulation and toxicity of amyloid-beta proteins, have been described in this review. These proteins are known to form plaques in the brain, leading to neuronal damage and the progression of Alzheimer's disease. The current therapeutic strategies and their limitations are briefly reviewed, highlighting the need for innovative approaches. Graphene oxide, with its high surface area, biocompatibility, and ability to cross the blood-brain barrier, is introduced as a novel nanocarrier. The methodology involves functionalizing graphene oxide sheets with specific ligands that target amyloid-beta proteins. This functionalization facilitates the binding and removal of these toxic proteins from the brain, potentially alleviating the symptoms of Alzheimer's disease. Preliminary findings indicate a significant reduction in amyloid-beta toxicity in neuronal cell cultures treated with graphene oxide nanocarriers. The study also explores the biocompatibility and safety profile of graphene oxide in biological systems, ensuring its suitability for clinical applications. It calls for further research and clinical trials to fully understand and harness the benefits of this nanotechnology, paving the way for a new era in neurodegenerative disease therapy.

The synergistic effect of curcumin and mitoquinol mesylate on cognitive impairment and the neuropathology of Alzheimer's disease

Given the complexity and heterogeneity of Alzheimer's disease (AD) pathology, targeted monotherapy drugs may not be effective. Therefore, synergistic combination therapy of curcumin and Mito Q was proposed and evaluated in a triple-transgenic AD model mice (3 × Tg-AD mice). The cognitive ability was assessed using behavioral tests and typical pathological changes were observed through Western blotting and histological analysis. The results demonstrated a significant enhancement in cognitive ability along with the mitigation of typical AD pathological features such as Aβ aggregation, tau phosphorylation, and synaptic damage. Notably, the combination therapy demonstrated superior efficacy over individual drugs alone. These findings provide valuable insights for optimizing the development of AD drugs.

1-11C]-Butanol Positron Emission Tomography reveals an impaired brain to nasal turbinates pathway in aging amyloid positive subjects

BackgroundReduced clearance of cerebrospinal fluid (CSF) has been suggested as a pathological feature of Alzheimer’s disease (AD). With extensive documentation in non-human mammals and contradictory human neuroimaging data it remains unknown whether the nasal mucosa is a CSF drainage site in humans. Here, we used dynamic PET with [1-11C]-Butanol, a highly permeable radiotracer with no appreciable brain binding, to test the hypothesis that tracer drainage from the nasal pathway reflects CSF drainage from brain. As a test of the hypothesis, we examined whether brain and nasal fluid drainage times were correlated and affected by brain amyloid.Methods24 cognitively normal subjects (≥ 65 years) were dynamically PET imaged for 60 min. using [1-11C]-Butanol. Imaging with either [11C]-PiB or [18F]-FBB identified 8 amyloid PET positive (Aβ+) and 16 Aβ- subjects. MRI-determined regions of interest (ROI) included: the carotid artery, the lateral orbitofrontal (LOF) brain, the cribriform plate, and an All-turbinate region comprised of the superior, middle, and inferior turbinates. The bilateral temporalis muscle and jugular veins served as control regions. Regional time-activity were used to model tracer influx, egress, and AUC.ResultsLOF and All-turbinate 60 min AUC were positively associated, thus suggesting a connection between the brain and the nose. Further, the Aβ+ subgroup demonstrated impaired tracer kinetics, marked by reduced tracer influx and slower egress.ConclusionThe data show that tracer kinetics for brain and nasal turbinates are related to each other and both reflect the amyloid status of the brain. As such, these data add to evidence that the nasal pathway is a potential CSF drainage site in humans. These data warrant further investigation of brain and nasal contributions to protein clearance in neurodegenerative disease.

β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer's disease.

The study of the pathophysiology study of Alzheimer's disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. The humanized APPNL-G-F knock-in mouse line was crossed to the PS19 MAPTP301S, over-expression mouse line to create the dual APPNL-G-F/PS19 MAPTP301S line. The resulting pathologies were characterized by immunochemical methods and PCR. We now report on a double transgenic APPNL-G-F/PS19 MAPTP301S mouse that at 6 months of age exhibits robust A plaque accumulation, intense MAPT pathology, strong inflammation and extensive neurodegeneration. The presence of A pathology potentiated the other major pathologies, including MAPT pathology, inflammation and neurodegeneration. MAPT pathology neither changed levels of amyloid precursor protein nor potentiated A accumulation. Interestingly, study of immunofluorescence in cleared brains indicates that microglial inflammation was generally stronger in the hippocampus, dentate gyrus and entorhinal cortex, which are regions with predominant MAPT pathology. The APPNL-G-F/MAPTP301S mouse model also showed strong accumulation of N6-methyladenosine (m6A), which was recently shown to be elevated in the AD brain. m6A primarily accumulated in neuronal soma, but also co-localized with a subset of astrocytes and microglia. The accumulation of m6A corresponded with increases in METTL3 and decreases in ALKBH5, which are enzymes that add or remove m6A from mRNA, respectively. Our understanding of the pathophysiology of Alzheimer's disease (AD) has been hampered by lack animal models that recapitulate the major AD pathologies, including extracellular -amyloid (A) deposition, intracellular aggregation of microtubule associated protein tau (MAPT), inflammation and neurodegeneration. The APPNL-G-F/MAPTP301S mouse recapitulates many features of AD pathology beginning at 6 months of aging, and thus represents a useful new mouse model for the field.

Progranulin and neuropathological features of Alzheimer’s disease: longitudinal study

BackgroundProgranulin is an anti-inflammatory protein that plays an essential role in the synapse function and the maintenance of neurons in the central nervous system (CNS). It has been shown that the CSF level of progranulin increases in Alzheimer’s disease (AD) patients and is associated with the deposition of amyloid-beta (Aβ) and tau in the brain tissue. In this study, we aimed to assess the longitudinal changes in cerebrospinal fluid (CSF) progranulin levels during different pathophysiological stages of AD and investigate associated AD pathologic features.MethodsWe obtained the CSF and neuroimaging data of 1001 subjects from the ADNI database. The participants were classified into four groups based on the A/T/N framework: A + /TN + , A + /TN−, A−/TN + , and A−/TN−.ResultsBased on our analysis there was a significant difference in CSF progranulin (P = 0.001) between ATN groups. Further ANOVA analysis revealed that there was no significant difference in the rate of change of CSF-progranulin ATN groups. We found that the rate of change of CSF progranulin was associated with baseline Aβ-PET only in the A−/TN + group. A significant association was found between the rate of change of CSF progranulin and the Aβ-PET rate of change only in A−/TN + ConclusionOur findings revealed that an increase in CSF progranulin over time is associated with faster formation of Aβ plaques in patients with only tau pathology based on the A/T/N classification (suspected non-Alzheimer’s pathology). Together, our findings showed that the role of progranulin-related microglial activity on AD pathology can be stage-dependent, complicated, and more prominent in non-AD pathologic changes. Thus, there is a need for further studies to consider progranulin-based therapies for AD treatment.

Oral Administration of Probiotic Bacteria Alleviates Tau Phosphorylation, Aβ Accumulation, Microglia Activation, and Memory Loss in 5xFAD Mice.

The gut-brain axis (GBA) plays a significant role in various neurodegenerative disorders, such as Alzheimer's disease (AD), and the gut microbiome (GM) can bidirectionally communicate with the brain through the GBA. Thus, recent evidence indicates that the GM may affect the pathological features and the progression of AD in humans. The aim of our study was to elucidate the impact of probiotics on the pathological features of AD in a 5xFAD model. Probiotics (Bifidobacterium lactis, Levilactobacillus brevis, and Limosilactobacillus fermentum) were orally administered in 5xFAD mice to modify the GM composition. Additionally, freeze-dried food containing phosphatidylserine was used as the positive control. Behavioral pathogenesis was assessed through the cross maze and Morris water maze tests. Our findings revealed that probiotic administration resulted in significant improvements in spatial and recognition memories. Furthermore, the neuroprotective effects of probiotics were substantiated by a reduction in amyloid-β accumulation in critical brain regions. Microglial activation in 5xFAD mice was also attenuated by probiotics in the hippocampus and cerebral cortex. Moreover, elevated tau phosphorylation in 5xFAD mice was ameliorated in the probiotics-treated group. The results highlight the potential use of probiotics as a neuroprotective intervention in AD.

New cyclophilin D inhibitor rescues mitochondrial and cognitive function in Alzheimer's disease.

Mitochondrial dysfunction is an early pathological feature of Alzheimer disease and plays a crucial role in the development and progression of Alzheimer's disease. Strategies to rescue mitochondrial function and cognition remain to be explored. Cyclophilin D (CypD), the peptidylprolyl isomerase F (PPIase), is a key component in opening the mitochondrial membrane permeability transition pore, leading to mitochondrial dysfunction and cell death. Blocking membrane permeability transition pore opening by inhibiting CypD activity is a promising therapeutic approach for Alzheimer's disease. However, there is currently no effective CypD inhibitor for Alzheimer's disease, with previous candidates demonstrating high toxicity, poor ability to cross the blood-brain barrier, compromised biocompatibility and low selectivity. Here, we report a new class of non-toxic and biocompatible CypD inhibitor, ebselen, using a conventional PPIase assay to screen a library of ∼2000 FDA-approved drugs with crystallographic analysis of the CypD-ebselen crystal structure (PDB code: 8EJX). More importantly, we assessed the effects of genetic and pharmacological blockade of CypD on Alzheimer's disease mitochondrial and glycolytic bioenergetics in Alzheimer's disease-derived mitochondrial cybrid cells, an ex vivo human sporadic Alzheimer's disease mitochondrial model, and on synaptic function, inflammatory response and learning and memory in Alzheimer's disease mouse models. Inhibition of CypD by ebselen protects against sporadic Alzheimer's disease- and amyloid-β-induced mitochondrial and glycolytic perturbation, synaptic and cognitive dysfunction, together with suppressing neuroinflammation in the brain of Alzheimer's disease mouse models, which is linked to CypD-related membrane permeability transition pore formation. Thus, CypD inhibitors have the potential to slow the progression of neurodegenerative diseases, including Alzheimer's disease, by boosting mitochondrial bioenergetics and improving synaptic and cognitive function.

Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

Machine learning (ML) has increasingly been used to assist and expand current practices in neuropathology. However, generating large imaging datasets with quality labels is challenging in fields which demand high levels of expertise. Further complicating matters is the often seen disagreement between experts in neuropathology-related tasks, both at the case level and at a more granular level. Neurofibrillary tangles (NFTs) are a hallmark pathological feature of Alzheimer disease, and are associated with disease progression which warrants further investigation and granular quantification at a scale not currently accessible in routine human assessment. In this work, we first provide a baseline of annotator/rater agreement for the tasks of Braak NFT staging between experts and NFT detection using both experts and novices in neuropathology. We use a whole-slide-image (WSI) cohort of neuropathology cases from Emory University Hospital immunohistochemically stained for Tau. We develop a workflow for gathering annotations of the early stage formation of NFTs (Pre-NFTs) and mature intracellular (iNFTs) and show ML models can be trained to learn annotator nuances for the task of NFT detection in WSIs. We utilize a model-assisted-labeling approach and demonstrate ML models can be used to aid in labeling large datasets efficiently. We also show these models can be used to extract case-level features, which predict Braak NFT stages comparable to expert human raters, and do so at scale. This study provides a generalizable workflow for various pathology and related fields, and also provides a technique for accomplishing a high-level neuropathology task with limited human annotations.

Magnetic Resonance Spectroscopy metabolites as biomarkers of Alzheimer’s Disease

AbstractBackgroundMagnetic resonance spectroscopy (MRS) is a non‐invasive method of evaluating metabolite levels in the cerebral cortex. Measurable metabolites can provide markers of neuronal damage, glial activation and, neurotransmission, pathological features of Alzheimer’s disease. Here we sought to establish the effectiveness of several metabolites as biomarkers for Alzheimer’s disease.Method198 participants with a single‐voxel 1H MRS scan were enrolled (n = 170 participants living with Alzheimer’s disease, n = 28 healthy controls). All participants underwent 3‐tesla magnetic resonance imaging and cognitive assessment with the Alzheimer’s Disease Assessment Scale–Cognitive Subscale (ADAS‐cog). An experienced radiographer placed an 8cm3 voxel within the posterior cingulate cortex for single‐voxel 1H MRS acquisition. Scans were then processed to evaluate levels of N‐acetylaspartate, myo‐inositol, choline, and glutamate. Creatine peak was additionally evaluated as a reference. N‐acetylaspartate/creatine, myo‐inositol /creatine, choline/creatine ratios and glutamate were compared between Alzheimer’s participants and controls to calculate the effect size. Correlations were then performed between metabolite ratios and ADAS‐cog scores.ResultN‐acetylaspartate/creatine effectively distinguished between Alzheimer’s patients and healthy controls (Cohens D = 0.83) with a lowered ratio in Alzheimer’s participants. Elevated glutamate signal and myo‐inositol/creatine ratios were also displayed in Alzheimer’s patients (Cohens D = 0.62 and 0.69, respectively). Choline/creatine ratio displayed no significant difference between groups (Cohens D = 0.26). Lower N‐acetylaspartate /creatine and glutamate correlated with higher ADAS‐cog scores (r = ‐0.29, p < 0.001, CIs: ‐0.42 to ‐0.14 and r = ‐0.30, p < 0.001, CIs: ‐0.44 to ‐0.16, respectively). Myo‐inositol and choline failed to correlate with cognitive impairment.ConclusionN‐acetylaspartate, a signature of neuronal damage, is an effective biomarker of Alzheimer’s disease and associated cognitive decline. Enhanced glial activity, measured with myo‐inositol, was shown in Alzheimer’s disease, suggesting that glial‐reactivity markers deserve consideration in the diagnosis of Alzheimer’s disease. Glutamate demonstrated the strongest association with cognitive impairment, despite showing a smaller effect size than N‐acetylaspartate and myo‐inositol in distinguishing between Alzheimer’s patients and controls. Together we establish MRS is a useful, non‐invasive biomarker of several pathological processes involved in the development of Alzheimer’s. Evaluation of N‐acetylaspartate, glutamate, and myo‐inositol may aid in the diagnosis of neurodegenerative disease, detecting markers undetectable by conventional MRI methodology.

Ketone bodies mediate alterations in brain energy metabolism and biomarkers of Alzheimer's disease.

Alzheimer's disease (AD) is the most common form of dementia. AD is a progressive neurodegenerative disorder characterized by cognitive dysfunction, including learning and memory deficits, and behavioral changes. Neuropathology hallmarks of AD such as amyloid beta (Aβ) plaques and neurofibrillary tangles containing the neuron-specific protein tau is associated with changes in fluid biomarkers including Aβ, phosphorylated tau (p-tau)-181, p-tau 231, p-tau 217, glial fibrillary acidic protein (GFAP), and neurofilament light (NFL). Another pathological feature of AD is neural damage and hyperactivation of astrocytes, that can cause increased pro-inflammatory mediators and oxidative stress. In addition, reduced brain glucose metabolism and mitochondrial dysfunction appears up to 15 years before the onset of clinical AD symptoms. As glucose utilization is compromised in the brain of patients with AD, ketone bodies (KBs) may serve as an alternative source of energy. KBs are generated from the β-oxidation of fatty acids, which are enhanced following consumption of ketogenic diets with high fat, moderate protein, and low carbohydrate. KBs have been shown to cross the blood brain barrier to improve brain energy metabolism. This review comprehensively summarizes the current literature on how increasing KBs support brain energy metabolism. In addition, for the first time, this review discusses the effects of ketogenic diet on the putative AD biomarkers such as Aβ, tau (mainly p-tau 181), GFAP, and NFL, and discusses the role of KBs on neuroinflammation, oxidative stress, and mitochondrial metabolism.

Expression of APP, CDK5, and AKT1 Gene Related to Alzheimer Disease in Brain of Long-tailed Macaques

Amyloid plaques and Neurofibrillary Tangles (NFTs) are known to be key pathological features of Alzheimer disease. To gain a better understanding of this disease, studies were carried out on the Indonesian primates, the long-tailed macaques, using a spontaneous Alzheimer's disease model. Examining and identifying genetic markers involved in plaque formation and NFTs in long-tailed macaques is necessary to reveal their physiological processes. In this study, the expression of genes involved in the development of amyloid plaque (Amyloid Precursor Protein (APP)) and those that control the phosphorylation of tau protein (CDK5 and AKT1) was examined in the long-tailed macaque brain. This study showed that APP, CDK5, and AKT1 may potentially be developed as genetic markers of Alzheimer's disease. Long-tailed macaques exhibited the development of amyloid plaque in the aging brain based on the analysis of the gene expression profile of its biomarker. Furthermore, long-tailed macaques can be optimized for neurodegenerative models.

Copper metabolism-related Genes in entorhinal cortex for Alzheimer's disease

The pathological features of Alzheimer's disease are the formation of amyloid plaques and entanglement of nerve fibers. Studies have shown that Cu may be involved in the formation of amyloid plaques. However, their role has been controversial. The aim of this study was to explore the role of Cu in AD. We applied the “R” software for our differential analysis. Differentially expressed genes were screened using the limma package. Copper metabolism-related genes and the intersection set of differential genes with GSE5281 were searched; functional annotation was performed. The protein–protein interaction network was constructed using several modules to analyse the most significant hub genes. The hub genes were then qualified, and a database was used to screen for small-molecule AD drugs. We identified 87 DEGs. gene ontology analysis focused on homeostatic processes, response to toxic substances, positive regulation of transport, and secretion. The enriched molecular functions are mainly related to copper ion binding, molecular function regulators, protein-containing complex binding, identical protein binding and signalling receptor binding. The KEGG database is mainly involved in central carbon metabolism in various cancers, Parkinson's disease and melanoma. We identified five hub genes, FGF2, B2M, PTPRC, CD44 and SPP1, and identified the corresponding small molecule drugs. Our study identified key genes possibly related to energy metabolism in the pathological mechanism of AD and explored potential targets for AD treatment by establishing interaction networks.