Journal of Alzheimer's Disease - Volume Pre-press, issue Pre-press

Authors: Dennison, Jessica L. | Ricciardi, Natalie R. | Lohse, Ines | Volmar, Claude-Henry | Wahlestedt, Claes

Article Type: Research Article

Abstract: Female sex is a leading risk factor for developing Alzheimer’s disease (AD). Sexual dimorphism in AD is gaining attention as clinical data show that women are not only more likely to develop AD but also to experience worse pathology and faster cognitive decline. Pre-clinical AD research in animal models often neglects to address sexual dimorphism in evaluation of behavioral or molecular characteristics and outcomes. This can compromise its translation to a clinical setting. The triple-transgenic AD mouse model (3xTg-AD) is a commonly used but unique AD model because it exhibits both amyloid and tau pathology, essential features of the human …AD phenotype. Mounting evidence has revealed important sexually dimorphic characteristics of this animal model that have yet to be reviewed and thus, are often overlooked in studies using the 3xTg-AD model. In this review we conduct a thorough analysis of reports of sexual dimorphism in the 3xTg-AD model including findings of molecular, behavioral, and longevity-related sex differences in original research articles through August 2020. Importantly, we find results to be inconsistent, and that strain source and differing methodologies are major contributors to lack of consensus regarding traits of each sex. We first touch on the nature of sexual dimorphism in clinical AD, followed by a brief summary of sexual dimorphism in other major AD murine models before discussing the 3xTg-AD model in depth. We conclude by offering four suggestions to help unify pre-clinical mouse model AD research inspired by the NIH expectations for considering sex as a biological variable. Show more

Keywords: Alzheimer’s disease, mouse models, sex as a biological variable (SABV), sexual dimorphism, triple transgenic, 3xTg-AD

DOI: 10.3233/JAD-201014

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-12, 2021

Authors: Qian, Xueshen | Zhang, Shuang | Duan, Lian | Yang, Fengchun | Zhang, Kun | Yan, Fuhua | Ge, Song

Article Type: Research Article

Abstract: Background: Although periodontitis is reportedly associated with increased cognitive decline in Alzheimer’s disease, the mechanisms underlying this process remain unknown. Porphyromonas gingivalis lipopolysaccharide (P.g-LPS) is an endotoxin associated with periodontal disease. Objective: We investigated the effect of periodontitis on learning capacity and memory of amyloid-β protein precursor (AβPP)/presenilin (PS1) transgenic mice along with the mechanisms underlying these effects. Methods: Mice were randomly assigned to three groups, namely AβPP/PS1 (control), P.g-LPS Injection, and P.g-LPS Injection + Ligation. Mice from the P.g-LPS Injection group were injected with P.g-LPS in the periodontal tissue three times per week for …8 weeks, while mice from the P.g-LPS Injection + Ligation group were injected with P.g-LPS and subjected to ligation of the gingival sulcus of the maxillary second molar. Results: Expression of gingival proinflammatory cytokines as well as alveolar bone resorption in P.g-LPS-injected and ligatured mice was increased compared to that in control mice. Mice in the P.g-LPS Injection + Ligation group exhibited cognitive impairment and a significant reduction in the number of neurons. Glial cell activation in the experimental groups with significantly increased amyloid-β (Aβ) levels was more pronounced relative to the control group. Induction of periodontitis was concurrent with an increase in cyclooxygenase-2, inducible nitric oxide synthase, AβPP, and beta-secretase 1 expression and a decrease in A disintegrin and metalloproteinase domain-containing protein 10 expression. Conclusion: These findings indicated that periodontitis exacerbated learning and memory impairment in AβPP/PS1 mice and augmented Aβ and neuroinflammatory responses. Our study provides a theoretical basis for risk prediction and early intervention of Alzheimer’s disease and periodontitis. Show more

Keywords: Alzheimer’s disease, cognitive dysfunction, lipopolysaccharide, periodontitis, Porphyromonas gingivalis

DOI: 10.3233/JAD-201007

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-16, 2021

Authors: Shaffer, Rachel M. | Li, Ge | Adar, Sara D. | Dirk Keene, C. | Latimer, Caitlin S. | Crane, Paul K. | Larson, Eric B. | Kaufman, Joel D. | Carone, Marco | Sheppard, Lianne

Article Type: Research Article

Abstract: Background: Evidence links fine particulate matter (PM2.5 ) to Alzheimer’s disease (AD), but no community-based prospective cohort studies in older adults have evaluated the association between long-term exposure to PM2.5 and markers of AD neuropathology at autopsy. Objective: Using a well-established autopsy cohort and new spatiotemporal predictions of air pollution, we evaluated associations of 10-year PM2.5 exposure prior to death with Braak stage, Consortium to Establish a Registry for AD (CERAD) score, and combined AD neuropathologic change (ABC score). Methods: We used autopsy specimens (N = 832) from the Adult Changes in Thought (ACT) study, with …enrollment ongoing since 1994. We assigned long-term exposure at residential address based on two-week average concentrations from a newly developed spatiotemporal model. To account for potential selection bias, we conducted inverse probability weighting. Adjusting for covariates with tiered models, we performed ordinal regression for Braak and CERAD and logistic regression for dichotomized ABC score. Results: 10-year average PM2.5 from death across the autopsy cohort was 8.2 (1.9) μg/m3 . Average age at death was 89 (±7) years. Each 1μg/m3 increase in 10-year average PM2.5 prior to death was associated with a suggestive increase in the odds of worse neuropathology as indicated by CERAD score (OR: 1.35 (0.90, 1.90)) but a suggestive decreased odds of neuropathology as defined by the ABC score (OR: 0.79 (0.49, 1.19). There was no association with Braak stage (OR: 0.99 (0.64, 1.47). Conclusion: We report inconclusive associations between PM2.5 and AD neuropathology at autopsy among a cohort where 94% of individuals experienced 10-year exposures below the current EPA standard. Prior studies of AD risk factors and AD neuropathology are similarly inconclusive, suggesting alternative mechanistic pathways for disease or residual confounding. Show more

Keywords: Air pollution, Alzheimer’s disease, autopsy, dementia, neuropathology, particulate matter

DOI: 10.3233/JAD-201005

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Mercerón-Martínez, Daymara | Ibaceta-González, Cristobal | Salazar, Claudia | Almaguer-Melian, William | Bergado-Rosado, Jorge A. | Palacios, Adrian G.

Article Type: Research Article

Abstract: Alzheimer’s disease (AD) is the most common and devastating neurodegenerative condition worldwide, characterized by the aggregation of amyloid-β and phosphorylated tau protein, and is accompanied by a progressive loss of learning and memory. A healthy nervous system is endowed with synaptic plasticity, among others neural plasticity mechanisms, allowing structural and physiological adaptations to changes in the environment. This neural plasticity modification sustains learning and memory, and behavioral changes and is severely affected by pathological and aging conditions, leading to cognitive deterioration. This article reviews critical aspects of AD neurodegeneration as well as therapeutic approaches that restore neural plasticity to provide …functional recoveries, including environmental enrichment, physical exercise, transcranial stimulation, neurotrophin involvement, and direct electrical stimulation of the amygdala. In addition, we report recent behavioral results in Octodon degus , a promising natural model for the study of AD that naturally reproduces the neuropathological alterations observed in AD patients during normal aging, including neuronal toxicity, deterioration of neural plasticity, and the decline of learning and memory. Show more

Keywords: Neural plasticity, neurorestauration, non-transgenic animal models of neurodegeneration

DOI: 10.3233/JAD-201178

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Chen, Yu-si | Shu, Kai | Kang, Hui-cong

Article Type: Research Article

Abstract: Alzheimer’s disease (AD) is becoming a prevalent disease in the elderly population. Past decades have witnessed the development of drug therapies with varying targets. However, all drugs with a single molecular target fail to reverse or ameliorate AD progression, which ultimately results in cortical and subcortical network dysregulation. Deep brain stimulation (DBS) has been proven effective for the treatment of Parkinson’s disease, essential tremor, and other neurological diseases. As such, DBS has also been gradually acknowledged as a potential therapy for AD. The current review focuses on DBS of the nucleus basalis of Meynert (NBM). As a critical component of …the cerebral cholinergic system and the Papez circuit in the basal ganglia, the NBM plays an indispensable role in the subcortical regulation of memory, attention, and arousal state, which makes the NBM a promising target for modulation of neural network dysfunction and AD treatment. We summarized the intricate projection relations and functionality of the NBM, current approaches for stereotactic localization and evaluation of the NBM, and the therapeutic effects of NBM-DBS both in patients and animal models. Furthermore, the current shortcomings of NBM-DBS, such as variations in cortical blood flow, increased temperature in the target area, and stimulation-related neural damage, were presented. Show more

Keywords: Alzheimer’s disease, deep brain stimulation, functional neurosurgery, neuromodulation, nucleus basalis of Meynert, technical consideration

DOI: 10.3233/JAD-201141

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-18, 2021

Authors: Prakash, Mithilesh | Abdelaziz, Mahmoud | Zhang, Linda | Strange, Bryan A. | Tohka, Jussi | for the Alzheimer’s Disease Neuroimaging Initiative

Article Type: Research Article

Abstract: Background: Quantitatively predicting the progression of Alzheimer’s disease (AD) in an individual on a continuous scale, such as the Alzheimer’s Disease Assessment Scale-cognitive (ADAS-cog) scores, is informative for a personalized approach as opposed to qualitatively classifying the individual into a broad disease category. Objective: To evaluate the hypothesis that the multi-modal data and predictive learning models can be employed for future predicting ADAS-cog scores. Methods: Unimodal and multi-modal regression models were trained on baseline data comprised of demographics, neuroimaging, and cerebrospinal fluid based markers, and genetic factors to predict future ADAS-cog scores for 12, 24, and …36 months. We subjected the prediction models to repeated cross-validation and assessed the resulting mean absolute error (MAE) and cross-validated correlation (ρ) of the model. Results: Prediction models trained on multi-modal data outperformed the models trained on single modal data in predicting future ADAS-cog scores (MAE12, 24 & 36 months = 4.1, 4.5, and 5.0, ρ 12, 24 & 36 months = 0.88, 0.82, and 0.75). Including baseline ADAS-cog scores to prediction models improved predictive performance (MAE12, 24 & 36 months = 3.5, 3.7, and 4.6, ρ 12, 24 & 36 months = 0.89, 0.87, and 0.80). Conclusion: Future ADAS-cog scores were predicted which could aid clinicians in identifying those at greater risk of decline and apply interventions at an earlier disease stage and inform likely future disease progression in individuals enrolled in AD clinical trials. Show more

Keywords: Alzheimer’s disease, machine learning, magnetic resonance imaging, multi-modal imaging, neuropsychology

DOI: 10.3233/JAD-200906

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-14, 2021

Authors: Farugia, Taya L. | Cuni-Lopez, Carla | White, Anthony R.

Article Type: Research Article

Abstract: Australia often experiences natural disasters and extreme weather conditions such as: flooding, sandstorms, heatwaves, and bushfires (also known as wildfires or forest fires). The proportion of the Australian population aged 65 years and over is increasing, alongside the severity and frequency of extreme weather conditions and natural disasters. Extreme heat can affect the entire population but particularly at the extremes of life, and patients with morbidities. Frequently identified as a vulnerable demographic in natural disasters, there is limited research on older adults and their capacity to deal with extreme heat and bushfires. There is a considerable amount of literature that …suggests a significant association between mental disorders such as dementia, and increased vulnerability to extreme heat. The prevalence rate for dementia is estimated at 30% #x0025;by age 85 years, but there has been limited research on the effects extreme heat and bushfires have on individuals living with dementia. This review explores the differential diagnosis of dementia, the Australian climate, and the potential impact Australia’s extreme heat and bushfires have on individuals from vulnerable communities including low socioeconomic status Indigenous and Non-Indigenous populations living with dementia, in both metropolitan and rural communities. Furthermore, we investigate possible prevention strategies and provide suggestions for future research on the topic of Australian bushfires and heatwaves and their impact on people living with dementia. This paper includes recommendations to ensure rural communities have access to appropriate support services, medical treatment, awareness, and information surrounding dementia. Show more

Keywords: Bushfire, climate change, dementia, extreme heat, wildfire

DOI: 10.3233/JAD-201388

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Delic, Vedad | Ratliff, Whitney A. | Citron, Bruce A.

Article Type: Research Article

Abstract: An estimated 5 million Americans are living with Alzheimer's disease (AD), and there is also a significant impact on caregivers, with an additional 16 million mericans providing unpaid care for individuals with AD and other dementias. These numbers are projected to increase in the coming years. While AD is still without a cure, continued research efforts have led to better understanding of pathology and potential risk factors that could be exploited to slow disease progression. A bidirectional relationship between sleep deprivation and AD has been suggested and is well supported by both human and animal studies. Even brief episodes of …inadequate sleep have been shown to cause an increase in amyloidβ and tau proteins, both well-established contributors toAD pathology. Sleep deprivation is also the most common consequence of post-traumatic stress disorder (PTSD). Patients with PTSD frequently present with sleep disturbances and also develop dementia at twice the rate of the general population accounting for a disproportionate representation of AD among U.S. Veterans. The goal of this review is to highlight the relationship triad between sleep deprivation, AD, and PTSD as well as their impact on molecular mechanisms driving AD pathology. Show more

Keywords: Alzheimer’s disease, amyloid-β, post-traumatic stress disorder, sleep deprivation, tau

DOI: 10.3233/JAD-201378

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Mai, Yingren | Yu, Qun | Zhu, Feiqi | Luo, Yishan | Liao, Wang | Zhao, Lei | Xu, Chunyan | Fang, Wenli | Ruan, Yuting | Cao, Zhiyu | Lei, Ming | Au, Lisa | Mok, Vincent C.T. | Shi, Lin | Liu, Jun

Article Type: Research Article

Abstract: Background: Magnetic resonance imaging (MRI) provides objective information about brain structural atrophy in patients with Alzheimer’s disease (AD). This multi-structural atrophic information, when integrated as a single differential index, has the potential to further elevate the accuracy of AD identification from normal control (NC) compared to the conventional structure volumetric index. Objective: We herein investigated the performance of such an MRI-derived AD index, AD-Resemblance Atrophy Index (AD-RAI), as a neuroimaging biomarker in clinical scenario. Method: Fifty AD patients (19 with the Amyloid, Tau, Neurodegeneration (ATN) results assessed in cerebrospinal fluid) and 50 age- and gender-matched NC …(19 with ATN results assessed using positron emission tomography) were recruited in this study. MRI-based imaging biomarkers, i.e., AD-RAI, were quantified using AccuBrain® . The accuracy, sensitivity, specificity, and area under the ROC curve (AUC) of these MRI-based imaging biomarkers were evaluated with the diagnosis result according to clinical criteria for all subjects and ATN biological markers for the subgroup. Results: In the whole groups of AD and NC subjects, the accuracy of AD-RAI was 91%, sensitivity and specificity were 88% and 96%, respectively, and the AUC was 92%. In the subgroup of 19 AD and 19 NC with ATN results, AD-RAI results matched completely with ATN classification. AD-RAI outperforms the volume of any single brain structure measured. Conclusion: The finding supports the hypothesis that MRI-derived composite AD-RAI is a more accurate imaging biomarker than individual brain structure volumetry in the identification of AD from NC in the clinical scenario. Show more

Keywords: AD-Resemblance atrophy index, Alzheimer’s disease, ATN biological markers, automated brain volumetry, magnetic resonance imaging

DOI: 10.3233/JAD-201033

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Underlien Kristensen, Rachel | Jensen-Dahm, Christina | Gasse, Christiane | Waldemar, Gunhild

Article Type: Research Article

Abstract: Background: Studies have shown declining use of potentially inappropriate medication (PIM), medication where risks associated with use outweigh potential benefits in older people. However, the trend in people with dementia remains unknown. Objective: To test the hypothesis that the use of PIM has decreased in people with dementia in line with the declining use in the general older population. Methods: Repeated cross-sectional register-based study of the entire Danish population aged ≥65 years (2000: N = 802,106; 2015: N = 1,056,476). PIM was identified using the Danish “Red-yellow-green list”. Changes in the use of PIM were examined by calculating the annual …prevalence of filling prescriptions for at least one PIM in older people with and without dementia. Characteristics of the study population were examined annually including comorbidity. Results: From 2000 to 2015, the prevalence of PIM use decreased from 54.7%to 43.5%in people with dementia and from 39.5%to 28.8%in people without dementia; the decrease was significant across all age groups and remained so in a sensitivity analysis where antipsychotics were removed. During the same period, comorbidity scores increased in people with and without dementia. Conclusion: The declining use of PIM in people with dementia from 2000 to 2015 parallels the trend in the general older population. The use of PIM decreased despite increasing levels of comorbidity and was not solely attributable to the decreasing use of antipsychotics in people with dementia. However, PIM use remained more widespread in people with dementia who may be more vulnerable to the risks associated with PIM. Show more

Keywords: Dementia, inappropriate prescribing, pharmacoepidemiology, potentially inappropriate medication, time trend

DOI: 10.3233/JAD-200627

Citation: Journal of Alzheimer's Disease, vol. Pre-press, no. Pre-press, pp. 1-12, 2021