Alzheimer's Disease Process Research Articles

IPSC‐derived neurons with amyloid‐β treatment reflect features of Alzheimer’s disease patients

AbstractBackgroundThere is increasing evidence showing that induced pluripotent stem cells (iPSC)‐derived brain cells recapitulate disease‐relevant processes in patients with Alzheimer’s disease (AD). However, it remains unclear to what extent iPSC‐derived neurons treated with amyloid‐β (Aβ) reflect patient Aβ burden and other endophenotypes as determined by changes in protein expression.MethodTo investigate this, we firstly generated iPSC lines from 14 individuals with AD from the Deep and Frequent Phenotyping (DFP) pilot cohort. All of these individuals had undergone clinical measures (i.e. Mini Mental Score Examination) and neuropathological measures (i.e. Aβ, p‐tau and tau). We then differentiated these lines into cortical neurons and treated them with Aβ oligomers. We collected both cell media and cell lysates and measured over 5000 proteins in these samples using SOMAscan assay. In addition, proteins in the cerebrospinal fluid (CSF) and plasma of the same individuals were also measured using the same assay.ResultUsing Wilcox test, we identified 627 proteins that were differentially expressed in neuronal cultures under Aβ oligomers treatment after multiple correction. These proteins were significantly enriched in 14 pathways such as TGF‐β signaling pathway, Ras signaling pathway and MAPK signaling pathway etc. From protein co‐expression network analysis, we identified 12 modules (ranging from 45 to 2029 proteins) in neuronal cultures. Of them, eight were significantly associated with at least one endophenotype of the amyloid/Tau/Neurodegeneration/Cognition AT(N)C framework. We further checked the replication of these modules in human. We found that eight and nine modules were significantly preserved in CSF and plasma, respectively. Furthermore, some preserved modules were also significantly associated with some AD endophenotypes including Aβ.ConclusionThese results suggests that iPSC‐derived neurons with Aβ treatment reflect the patients’ endophenotypes, indicating that their use in capturing disease‐relevant processes in AD.

Associations between cerebrospinal fluid biomarkers and brain regions of relevance for very early Alzheimer’s disease processes

AbstractBackgroundThe relation between cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD) and neurodegeneration and brain regions of relevance for very early pathological processes in AD is poorly understood. This study aims to investigate cross‐sectional associations between the CSF biomarkers amyloid‐β1‐42 (Aβ42), total‐tau (T‐tau), phosphorylated‐tau (P‐tau), neurogranin (Ng) and neurofilament light (NfL) protein and normalized intracranial volumes of the hippocampus, amygdala, entorhinal cortex and basal forebrain observed on structural magnetic resonance imaging (MRI) in cognitively healthy 70‐year olds from the general population.MethodThe analyses included 226 cognitively normal individuals (clinical dementia rating of zero), examined during 2014‐2016 as part of the population‐based Gothenburg H70 Birth Cohort Studies in Sweden. The study participants had undergone lumbar puncture examination to extract CSF samples for biomarker measurements (pg/mL), MRI scan (volumes in mm³), and apolipoprotein E (APOE) genotyping. Linear regressions, adjusted for sex, were used to examine potential associations.ResultElevated CSF T‐tau, P‐tau, and Ng concentrations were associated with smaller volumes of the hippocampus, amygdala, and entorhinal cortex among individuals with amyloid pathology (p = 8×10−8 – 0.04) and among APOE ε4 carriers (p = 8×10−5 – 0.04). In addition, elevated CSF T‐tau, P‐tau, and Ng concentrations were associated with larger basal forebrain among individuals without pathological Aβ42 (p = 0.001 – 0.01) and among APOE ε4 non‐carriers (p = 0.004 – 0.02).ConclusionThe results of our study suggest that among cognitively normal adults who have amyloid pathology or genetic susceptibility to AD, there are associations between axonal degeneration, tangle pathology, and synapse loss and decreased volumes of AD vulnerable brain regions. The associations between elevated CSF biomarkers and larger basal forebrain in cognitively normal individuals were unexpected, but could possibly be explained by compensatory mechanisms or an inflammatory response (generating neuronal or glial swelling) as a very early reaction to the presence of increased levels of tau and Ng. Our findings highlight the clinical pathophysiological relevance of CSF biomarkers of AD and neurodegeneration and how they relate to AD specific brain regions seen on structural MRI in 70‐year‐olds that may be at risk to develop dementia.

MicroRNA (miRNA) Complexity in Alzheimer's Disease (AD).

AD is a complex, progressive, age-related neurodegenerative disorder representing the most common cause of senile dementia and neurological dysfunction in our elderly domestic population. The widely observed heterogeneity of AD is a reflection of the complexity of the AD process itself and the altered molecular-genetic mechanisms operating in the diseased human brain and CNS. One of the key players in this complex regulation of gene expression in human pathological neurobiology are microRNAs (miRNAs) that, through their actions, shape the transcriptome of brain cells that normally associate with very high rates of genetic activity, gene transcription and messenger RNA (mRNA) generation. The analysis of miRNA populations and the characterization of their abundance, speciation and complexity can further provide valuable clues to our molecular-genetic understanding of the AD process, especially in the sporadic forms of this common brain disorder. Current in-depth analyses of high-quality AD and age- and gender-matched control brain tissues are providing pathophysiological miRNA-based signatures of AD that can serve as a basis for expanding our mechanistic understanding of this disorder and the future design of miRNA- and related RNA-based therapeutics. This focused review will consolidate the findings from multiple laboratories as to which are the most abundant miRNA species, both free and exosome-bound in the human brain and CNS, which miRNA species appear to be the most prominently affected by the AD process and review recent developments and advancements in our understanding of the complexity of miRNA signaling in the hippocampal CA1 region of AD-affected brains.

Neuronally Derived Soluble Abeta Evokes Cell-Wide Astrocytic Calcium Dysregulation in Absence of Amyloid Plaques in Vivo.

The key pathologic entities driving the destruction of synaptic function and integrity during the evolution of Alzheimer's disease (AD) remain elusive. Astrocytes are structurally and functionally integrated within synaptic and vascular circuitry and use calcium-based physiology to modulate basal synaptic transmission, vascular dynamics, and neurovascular coupling, which are central to AD pathogenesis. We used high-resolution multiphoton imaging to quantify all endogenous calcium signaling arising spontaneously throughout astrocytic somata, primary processes, fine processes, and capillary endfeet in the brain of awake APP/PS1 transgenic mice (11 male and 6 female mice). Endogenous calcium signaling within capillary endfeet, while surprisingly as active as astrocytic fine processes, was reduced ∼50% in the brain of awake APP/PS1 mice. Cortical astrocytes, in the presence of amyloid plaques in awake APP/PS1 mice, had a cell-wide increase in intracellular calcium associated with an increased frequency, amplitude, and duration of spontaneous calcium signaling. The cell-wide astrocytic calcium dysregulation was not directly related to distance to amyloid plaques. We could re-create the cell-wide intracellular calcium dysregulation in the absence of amyloid plaques following acute exposure to neuronally derived soluble Abeta from Tg2576 transgenic mice, in the living brain of male C57/Bl6 mice. Our findings highlight a role for astrocytic calcium pathophysiology in soluble-Abeta mediated neurodegenerative processes in AD. Additionally, therapeutic strategies aiming to protect astrocytic calcium physiology from soluble Abeta-mediated toxicity may need to pharmacologically enhance calcium signaling within the hypoactive capillary endfeet while reducing the hyperactivity of spontaneous calcium signaling throughout the rest of the astrocyte.SIGNIFICANCE STATEMENT Astrocytic calcium signaling is functionally involved in central pathologic processes of Alzheimer's disease. We quantified endogenous calcium signaling arising spontaneously in the brain of awake APP/PS1 mice, as general anesthesia suppressed astrocytic calcium signaling. Cell-wide astrocytic calcium dysregulation was not related to distance to amyloid plaques but mediated in part by neuronally derived soluble Abeta, supporting a role for astrocytes in soluble-Abeta mediated neurodegeneration. Spontaneous calcium signaling is largely compartmentalized and capillary endfeet were as active as fine processes but hypoactive in the presence of amyloid plaques, while the rest of the astrocyte became hyperactive. The cell-wide calcium pathophysiology in astrocytes may require a combination therapeutic strategy for hypoactive endfeet and astrocytic hyperactivity.

Inhibition of ACAT as a Therapeutic Target for Alzheimer's Disease Is Independent of ApoE4 Lipidation.

APOE4, encoding apolipoprotein E4 (apoE4), is the greatest genetic risk factor for Alzheimer's disease (AD), compared to the common APOE3. While the mechanism(s) underlying APOE4-induced AD risk remains unclear, increasing the lipidation of apoE4 is an important therapeutic target as apoE4-lipoproteins are poorly lipidated compared to apoE3-lipoproteins. ACAT (acyl-CoA: cholesterol-acyltransferase) catalyzes the formation of intracellular cholesteryl-ester droplets, reducing the intracellular free cholesterol (FC) pool. Thus, inhibiting ACAT increases the FC pool and facilitates lipid secretion to extracellular apoE-containing lipoproteins. Previous studies using commercial ACAT inhibitors, including avasimibe (AVAS), as well as ACAT-knock out (KO) mice, exhibit reduced AD-like pathology and amyloid precursor protein (APP) processing in familial AD (FAD)-transgenic (Tg) mice. However, the effects of AVAS with human apoE4 remain unknown. In vitro, AVASinduced apoE efflux at concentrations of AVASmeasured in the brains of treated mice. AVAS treatment of male E4FAD-Tg mice (5xFAD+/-APOE4+/+) at6-8months had no effect on plasma cholesterol levels or distribution, the original mechanism forAVAS treatment of CVD. In the CNS, AVAS reduced intracellular lipid droplets, indirectly demonstrating target engagement. Surrogate efficacy was demonstrated by an increase in Morris water maze measures of memory and postsynaptic protein levels. Amyloid-beta peptide (Aβ) solubility/deposition and neuroinflammation were reduced, critical components of APOE4-modulated pathology. However, there was no increase in apoE4 levels or apoE4 lipidation, while amyloidogenic and non-amyloidogenic processing of APP were significantly reduced. This suggests that the AVAS-induced reduction in Aβ via reduced APP processing was sufficient to reduce AD pathology, as apoE4-lipoproteins remained poorly lipidated.

Distinct CSF biomarker-associated DNA methylation in Alzheimer’s disease and cognitively normal subjects

BackgroundGrowing evidence has demonstrated that DNA methylation (DNAm) plays an important role in Alzheimer’s disease (AD) and that DNAm differences can be detected in the blood of AD subjects. Most studies have correlated blood DNAm with the clinical diagnosis of AD in living individuals. However, as the pathophysiological process of AD can begin many years before the onset of clinical symptoms, there is often disagreement between neuropathology in the brain and clinical phenotypes. Therefore, blood DNAm associated with AD neuropathology, rather than with clinical data, would provide more relevant information on AD pathogenesis.MethodsWe performed a comprehensive analysis to identify blood DNAm associated with cerebrospinal fluid (CSF) pathological biomarkers for AD. Our study included matched samples of whole blood DNA methylation, CSF Aβ42, phosphorylated tau181 (pTau181), and total tau (tTau) biomarkers data, measured on the same subjects and at the same clinical visits from a total of 202 subjects (123 CN or cognitively normal, 79 AD) in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. To validate our findings, we also examined the association between premortem blood DNAm and postmortem brain neuropathology measured on a group of 69 subjects in the London dataset.ResultsWe identified a number of novel associations between blood DNAm and CSF biomarkers, demonstrating that changes in pathological processes in the CSF are reflected in the blood epigenome. Overall, the CSF biomarker-associated DNAm is relatively distinct in CN and AD subjects, highlighting the importance of analyzing omics data measured on cognitively normal subjects (which includes preclinical AD subjects) to identify diagnostic biomarkers, and considering disease stages in the development and testing of AD treatment strategies. Moreover, our analysis revealed biological processes associated with early brain impairment relevant to AD are marked by DNAm in the blood, and blood DNAm at several CpGs in the DMR on HOXA5 gene are associated with pTau181 in the CSF, as well as tau-pathology and DNAm in the brain, nominating DNAm at this locus as a promising candidate AD biomarker.ConclusionsOur study provides a valuable resource for future mechanistic and biomarker studies of DNAm in AD.

Repurposing drugs against Alzheimer's disease: can the anti-multiple sclerosis drug fingolimod (FTY720) effectively tackle inflammation processes in AD?

Therapeutic approaches providing effective medication for Alzheimer's disease (AD) patients after disease onset are urgently needed. Previous studies in AD mouse models and in humans suggested that physical exercise or changed lifestyle can delay AD-related synaptic and memory dysfunctions when treatment started in juvenile animals or in elderly humans before onset of disease symptoms. However, a pharmacological treatment that can reverse memory deficits in AD patients was thus far not identified. Importantly, AD disease-related dysfunctions have increasingly been associated with neuro-inflammatory mechanisms and searching for anti-inflammatory medication to treat AD seems promising. Like for other diseases, repurposing of FDA-approved drugs for treatment of AD is an ideally suited strategy to reduce the time to bring such medication into clinical practice. Of note, the sphingosine-1-phosphate analogue fingolimod (FTY720) was FDA-approved in 2010 for treatment of multiple sclerosis patients. It binds to the five different isoforms of Sphingosine-1-phosphate receptors (S1PRs) that are widely distributed across human organs. Interestingly, recent studies in five different mouse models of AD suggest that FTY720 treatment, even when starting after onset of AD symptoms, can reverse synaptic deficits and memory dysfunction in these AD mouse models. Furthermore, a very recent multi-omics study identified mutations in the sphingosine/ceramide pathway as a risk factor for sporadic AD, suggesting S1PRs as promising drug target in AD patients. Therefore, progressing with FDA-approved S1PR modulators into human clinical trials might pave the way for these potential disease modifying anti-AD drugs.

Hippocampal metabolic subregions and networks: Behavioral, molecular, and pathological aging profiles.

Hippocampal local and network dysfunction is the hallmark of Alzheimer's disease (AD). We characterized the spatial patterns of hippocampus differentiation based on brain co-metabolism in healthy elderly participants and demonstrated their relevance to study local metabolic changes and associated dysfunction in pathological aging. The hippocampus can be differentiated into anterior/posterior and dorsal cornu ammonis (CA)/ventral (subiculum) subregions. While anterior/posterior CA show co-metabolism with different regions of the subcortical limbic networks, the anterior/posterior subiculum are parts of cortical networks supporting object-centered memory and higher cognitive demands, respectively. Both networks show relationships with the spatial patterns of gene expression pertaining to cell energy metabolism and AD's process. Finally, while local metabolism is generally lower in posterior regions, the anterior-posterior imbalance is maximal in late mild cognitive impairment with the anterior subiculum being relatively preserved. Future studies should consider bidimensional hippocampal differentiation and in particular the posterior subicular region to better understand pathological aging.

White matter microstructural metrics are sensitively associated with clinical staging in Alzheimer's disease.

White matter microstructure may be abnormal along the Alzheimer's disease (AD) continuum. Diffusion magnetic resonance imaging (dMRI) data from the Alzheimer's Disease Neuroimaging Initiative (ADNI, n=627), Baltimore Longitudinal Study of Aging (BLSA, n=684), and Vanderbilt Memory & Aging Project (VMAP, n=296) cohorts were free-water (FW) corrected and conventional, and FW-corrected microstructural metrics were quantified within 48 white matter tracts. Microstructural values were subsequently harmonized using the Longitudinal ComBat technique and inputted as independent variables to predict diagnosis (cognitively unimpaired [CU], mild cognitive impairment [MCI], AD). Models were adjusted for age, sex, race/ethnicity, education, apolipoprotein E (APOE) ε4 carrier status, and APOE ε2 carrier status. Conventional dMRI metrics were associated globally with diagnostic status; following FW correction, the FW metric itself exhibited global associations with diagnostic status, but intracellular metric associations were diminished. White matter microstructure is altered along the AD continuum. FW correction may provide further understanding of the white matter neurodegenerative process in AD. Longitudinal ComBat successfully harmonized large-scale diffusion magnetic resonance imaging (dMRI) metrics.Conventional dMRI metrics were globally sensitive to diagnostic status.Free-water (FW) correction mitigated intracellular associations with diagnostic status.The FW metric itself was globally sensitive to diagnostic status. Multivariate conventional and FW-corrected models may provide complementary information.

Open drug discovery in Alzheimer's disease.

Alzheimer's disease (AD) drug discovery has focused on a set of highly studied therapeutic hypotheses, with limited success. The heterogeneous nature of AD processes suggests that a more diverse, systems-integrated strategy may identify new therapeutic hypotheses. Although many target hypotheses have arisen from systems-level modeling of human disease, in practice and for many reasons, it has proven challenging to translate them into drug discovery pipelines. First, many hypotheses implicate protein targets and/or biological mechanisms that are under-studied, meaning there is a paucity of evidence to inform experimental strategies as well as high-quality reagents to perform them. Second, systems-level targets are predicted to act in concert, requiring adaptations in how we characterize new drug targets. Here we posit that the development and open distribution of high-quality experimental reagents and informatic outputs-termed target enabling packages (TEPs)-will catalyze rapid evaluation of emerging systems-integrated targets in AD by enabling parallel, independent, and unencumbered research.

MiR-181c-5p suppresses neuronal pyroptosis via NLRP1 in Alzheimer’s disease

Alzheimer's disease (AD) is neurodegenerative disease common in the elderly, whose pathological mechanism is the deposition of amyloid-β (Aβ) plaques and neurofibrillary tangles in the brain. Pyroptosis is a programmed cell death mediated by Gasdermin protein. After the activation of inflammasomes, the cleaved caspase⁃ 1/4/5/11 activates GSDMD, which promotes the release of inflammatory substances and eventually causes cell swelling and death. Pyroptosis caused by inflammasomes plays a role in AD. However, the specific regulatory mechanism of pyroptosis in AD still needs more experimental studies. To further study the effects of NLRP1-induced pyroptosis on AD, miR-181c-5p, which could targeted bind to NLRP1, was knocked down or overexpression in HT22 cells to detect cell apoptosis with Tunel assay, the expression of inflammasome-related proteins with Western blot and the content of inflammatory factors with ELISA. miR-181c-5p was overexpressed in AD model mice to detect the learning and cognitive ability with morris water maze testing and the expression of inflammasoma-related proteins with Western blot. The results showed that miR-181c-5p mimic attenuated Aβ1–42-induced neuronal pyroptosis in HT22 cells, while up-regulation of NLRP1 aggravated neuronal pyroptosis in HT22 cells. In mice, miR-181c-5p agomir attenuated neuronal pyroptosis in both hippocampal and cortical tissues, and miR-181c-5p antagomir improved neuronal pyroptosis and cognitive impairment through NLRP1. Therefore, the study suggests that miR-181c-5p can alleviated AD process by targeted downregulation of NLRP1, which is expected to be a target site for AD treatment.

The Role of Tau Protein on Alzheimer’s Disease

Alzheimer's disease (AD) is currently a major global health issue that could induce several cognitive and mental problems in early-stage patients, and dementia in varying degrees, even death, in middle and late-stage patients. The formation of beta-amyloid (A-beta) plaque in neurons and the pathological accumulation of tau protein are the two well-known ideas that explain the process of AD. This essay has concluded some research achievements in the past decade, including some important mechanisms (regarding some specific molecules like APOE4 and PyK2) of tau pathologies in AD, several influences on animal and cell models, as well as methods for detection of neuronal tau accumulation in physical and biological fields. The possible therapies with mirodenafil and melatonin were also introduced. In the future, the creation and combination of more new technology, such as real-time monitoring and imaging technology, as well as the clinical discovery of new effects of some drugs on AD patients would help the research and remedies of AD make a progress.

The effects of resistance exercise on cognitive function, amyloidogenesis, and neuroinflammation in Alzheimer's disease.

With the increasing prevalence of Alzheimer's disease (AD) and difficulties in finding effective treatments, it is essential to discover alternative therapies through new approaches. In this regard, non-pharmacological therapies, such as physical exercise, have been proposed and explored for the treatment of AD. Recent studies have suggested that resistance exercise (RE) is an effective strategy for promoting benefits in memory and cognitive function, producing neuroprotective and anti-inflammatory effects, and reducing amyloid load and plaques, thereby reducing the risk, and alleviating the neurodegeneration process of AD and other types of dementia in the elderly. In addition, RE is the exercise recommended by the World Health Organization for the elderly due to its benefits in improving muscle strength and balance, and increasing autonomy and functional capacity, favoring improvements in the quality of life of the elderly population, who is more likely to develop AD and other types of dementia. In this mini-review, we discuss the impact of RE on humans affected by MCI and AD, and animal models of AD, and summarize the main findings regarding the effects of RE program on memory and cognitive functions, neurotrophic factors, Aβ deposition and plaque formation, as well as on neuroinflammation. Overall, the present review provides clinical and preclinical evidence that RE plays a role in alleviating AD symptoms and may help to understand the therapeutic potential of RE, thereby continuing the advances in AD therapies.

The Potential Roles of Exosomes Carrying APP and Tau Cleavage Products in Alzheimer’s Disease

Alzheimer's disease (AD) is the leading cause of dementia throughout the world. It is characterized by major amyloid plaques and neurofibrillary tangles (NFTs), which are composed of amyloid-β (Aβ) peptide and hyperphosphorylated Tau (p-Tau), respectively. Exosomes, which are secreted by cells, are single-membrane lipid bilayer vesicles found in bodily fluids and they have a diameter of 30-150 nm. Recently, they have been considered as critical carriers and biomarkers in AD, as they facilitate communication between cells and tissues by delivering proteins, lipids, and nucleic acids. This review demonstrates that exosomes are natural nanocontainers that carry APP as well as Tau cleavage products secreted by neuronal cells and that their formation is associated with the endosomal-lysosomal pathway. Moreover, these exosomes can transfer AD pathological molecules and participate in the pathophysiological process of AD; therefore, they have potential diagnostic and therapeutic value for AD and might also provide novel insights for screening and prevention of the disease.

Differential expression of interferon-induced protein with tetratricopeptide repeats 3 (IFIT3) in Alzheimer's disease and HIV-1 associated neurocognitive disorders

The United Nations projects that one in every six people will be over the age of 65 by the year 2050. With a rapidly aging population, the risk of Alzheimer's disease (AD) becomes a major concern. AD is a multifactorial disease that involves neurodegeneration in the brain with mild dementia and deficits in memory and other cognitive domains. Additionally, it has been established that individuals with Human Immunodeficiency Virus-1 (HIV-1) experience a 5 to 10-year accelerated aging and an increased risk of developing HIV-associated neurocognitive disorders (HAND). Despite a significant amount of clinical evidence pointing towards a potential overlap between neuropathogenic processes in HAND and AD, the underlying epigenetic link between these two diseases is mostly unknown. This study is focused on identifying differentially expressed genes observed in both AD and HAND using linear regression models and a more robust significance analysis of microarray. The results established that the dysregulated type 1 and 2 interferon pathways observed in both AD and HAND contribute to the similar pathologies of these diseases within the brain. The current study identifies the important roles of interferon pathways in AD and HAND, a relationship that may be useful for earlier detection in the future.

Is late-life depression associated with Alzheimer's disease? Evidence from epidemiological, neuropsychological, and neuroimaging perspectives

In 2021, the FDA approved Aducanumab (Aduhelm™), an anti-amyloid antibody intravenous (IV) infusion therapy approved for Alzheimer's disease (AD) that is the first treatment shown to ameliorate neuropathological changes due to AD in the brain. It is well-established that depression increases the risk of future cognitive decline and dementia, but whether depression is specifically associated with AD is unclear, because many of the earlier epidemiological studies employed a relatively short interval (< 5 years) between observation of depression and AD diagnosis. Since neuropathological changes in the brain due to AD may occur years prior to onset of clinical memory symptoms and AD diagnosis, depression that begins late in life may thus represent a non-cognitive prodromal feature of AD. Moreover, the association between depression in older adults and AD biomarkers is also unclear, with some studies suggesting that amyloid-beta, one of the main neuropathological hallmarks of AD, may be reduced in older adults with depression. With the availability of a disease-altering treatment for AD and knowledge that the neuropathological process for AD begins years before onset of clinical memory symptoms, a logical next step in the near future will be to examine whether anti-amyloid therapies can prevent development of AD in high-risk populations. Thus, it is timely to clarify the relationship between depression and dementia. Specifically, is depression an independent risk factor for AD, or is depression associated with dementia more generally? What is the evidence for a distinct form of dementia subtype due to depression?This symposium will address the question of whether major depressive disorder is an independent risk factor for dementia due to AD or other dementia subtypes by presenting evidence from the epidemiological, neuropsychological, and neuroimaging literature. Dr. Linda Mah will begin by presenting an overview of the epidemiological data on the association between depression and AD or dementia subtypes, focusing on differences in the strength of the association as a function of measurement of exposure, follow-up interval, and dementia subtype outcome. Dr. Scott Mackin will present recent work comparing neuropsychological and neuroimaging data including cortico-limbic volume and amyloid-beta burden in older adults with depression versus non-depressed older adults, which provides evidence for late-life depression as having distinct neurodegenerative features independent of AD. Dr. Jennifer Gatchel will present results from a multi-modal neuroimaging study in non-demented older adults with major depressive disorder, which demonstrates a relationship between tau pathology and depression symptoms and decreased interest-motivation-drive, while in contrast, mood symptoms were not associated with either amyloid-beta or medial temporal lobe atrophy. Dr. Benoit Mulsant will serve as discussant for the symposium. Drawing upon the PACt-MD study (“Preventing Alzheimer's dementia with cognitive remediation plus transcranial direct current stimulation in mild cognitive impairment and depression”), Dr. Mulsant will highlight some of the baseline AD biomarker data in the remitted major depressive disorder + mild cognitive impairment group, which suggest that this phenotype may be associated with a distinct dementia subtype. Implications for the clinical management of late-life depression and future research priorities will be discussed.

Neurotransmitters in Prevention and Treatment of Alzheimer's Disease.

Alzheimer's disease (AD) is the most frequent cause of cognitive impairment in middle-aged and older populations. There is a lack of drugs that demonstrate significant efficacy in AD, so the study of the pathogenesis of AD is of great importance. More efficacious interventions are needed, as reflected by our population's fast aging. Synaptic plasticity is the capacity of neurons to adjust their connections, and it is strongly tied to learning and memory, cognitive function, and brain injury recovery. Changes in synaptic strength, such as long-term potentiation (LTP) or inhibition (LTD), are thought to represent the biological foundation of the early stages of learning and memory. The results of numerous studies confirm that neurotransmitters and their receptors play an important role in the regulation of synaptic plasticity. However, so far, there is no definite correlation between the function of neurotransmitters in aberrant neural oscillation and AD-related cognitive impairment. We summarized the AD process to understand the impact of neurotransmitters in the progression and pathogenesis of AD, including the current status of neurotransmitter target drugs, and the latest evidence of neurotransmitters' function and changes in the AD process.

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.

Alzheimer's disease (AD) is a neurodegenerative disorder that causes memory degradation and cognitive function impairment in elderly people. The irreversible and devastating cognitive decline brings large burdens on patients and society. So far, there is no effective treatment that can cure AD, but the process of early-stage AD can slow down. Early and accurate detection is critical for treatment. In recent years, deep-learning-based approaches have achieved great success in Alzheimer's disease diagnosis. The main objective of this paper is to review some popular conventional machine learning methods used for the classification and prediction of AD using Magnetic Resonance Imaging (MRI). The methods reviewed in this paper include support vector machine (SVM), random forest (RF), convolutional neural network (CNN), autoencoder, deep learning, and transformer. This paper also reviews pervasively used feature extractors and different types of input forms of convolutional neural network. At last, this review discusses challenges such as class imbalance and data leakage. It also discusses the trade-offs and suggestions about pre-processing techniques, deep learning, conventional machine learning methods, new techniques, and input type selection.

Three-dimensional chromatin architecture datasets for aging and Alzheimer’s disease

Recently, increasing studies are indicating a close association between dysregulated enhancers and neurodegenerative diseases, such as Alzheimer’s disease (AD). However, their contributions were poorly defined for lacking direct links to disease genes. To bridge this gap, we presented the Hi-C datasets of 4 AD patients, 4 dementia-free aged and 3 young subjects, including 30 billion reads. As applications, we utilized them to link the AD risk SNPs and dysregulated epigenetic marks to the target genes. Combining with epigenetic data, we observed more detailed interactions among regulatory regions and found that many known AD risk genes were under long-distance promoter-enhancer interactions. For future AD and aging studies, our datasets provide a reference landscape to better interpret findings of association and epigenetic studies for AD and aging process.

Hippocampal functional connectivity across age in an App knock-in mouse model of Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disease. The early processes of AD, however, are not fully understood and likely begin years before symptoms manifest. Importantly, disruption of the default mode network, including the hippocampus, has been implicated in AD. To examine the role of functional network connectivity changes in the early stages of AD, we performed resting-state functional magnetic resonance imaging (rs-fMRI) using a mouse model harboring three familial AD mutations (App NL-G-F/NL-G-F knock-in, APPKI) in female mice in early, middle, and late age groups. The interhemispheric and intrahemispheric functional connectivity (FC) of the hippocampus was modeled across age. We observed higher interhemispheric functional connectivity (FC) in the hippocampus across age. This was reduced, however, in APPKI mice in later age. Further, we observed loss of hemispheric asymmetry in FC in APPKI mice. Together, this suggests that there are early changes in hippocampal FC prior to heavy onset of amyloid β plaques, and which may be clinically relevant as an early biomarker of AD.