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The Journal of Alzheimer’s Disease is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer’s disease.
The journal publishes research reports, reviews, short communications, book reviews, and letters-to-the-editor. The journal is dedicated to providing an open forum for original research that will expedite our fundamental understanding of Alzheimer’s disease.
Authors: Zhuang, Xiaowei | Cordes, Dietmar | Bender, Andrew R. | Nandy, Rajesh | Oh, Edwin C. | Kinney, Jefferson | Caldwell, Jessica Z.K. | Cummings, Jeffrey | Miller, Justin
Article Type: Research Article
Abstract: Background: Computer-aided machine learning models are being actively developed with clinically available biomarkers to diagnose Alzheimer’s disease (AD) in living persons. Despite considerable work with cross-sectional in vivo data, many models lack validation against postmortem AD neuropathological data. Objective: Train machine learning models to classify the presence or absence of autopsy-confirmed severe AD neuropathology using clinically available features. Methods: AD neuropathological status are assessed at postmortem for participants from the National Alzheimer’s Coordinating Center (NACC). Clinically available features are utilized, including demographics, Apolipoprotein E(APOE) genotype, and cortical thicknesses derived from ante-mortem MRI scans encompassing …AD meta regions of interest (meta-ROI). Both logistic regression and random forest models are trained to identify linearly and nonlinearly separable features between participants with the presence (N = 91, age-at-MRI = 73.6±9.24, 38 women) or absence (N = 53, age-at-MRI = 68.93±19.69, 24 women) of severe AD neuropathology. The trained models are further validated in an external data set against in vivo amyloid biomarkers derived from PET imaging (amyloid-positive: N = 71, age-at-MRI = 74.17±6.37, 26 women; amyloid-negative: N = 73, age-at-MRI = 71.59±6.80, 41 women). Results: Our models achieve a cross-validation accuracy of 84.03% in classifying the presence or absence of severe AD neuropathology, and an external-validation accuracy of 70.14% in classifying in vivo amyloid positivity status. Conclusions: Our models show that clinically accessible features, including APOE genotype and cortical thinning encompassing AD meta-ROIs, are able to classify both postmortem confirmed AD neuropathological status and in vivo amyloid status with reasonable accuracies. These results suggest the potential utility of AD meta-ROIs in determining AD neuropathological status in living persons. Show more
Keywords: Alzheimer’s disease-meta-ROIs, APOE genotype, in vivo amyloid status, machine learning, severe AD neuropathology
DOI: 10.3233/JAD-231321
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 843-862, 2024
Authors: Zhang, Ya-Hong | Zhao, Pu | Gao, Hui-Ling | Zhong, Man-Li | Li, Jia-Yi
Article Type: Research Article
Abstract: Background: Alzheimer’s disease (AD) is a neurodegenerative disorder caused by a complex interplay of various factors. However, a satisfactory cure for AD remains elusive. Pharmacological interventions based on drug targets are considered the most cost-effective therapeutic strategy. Therefore, it is paramount to search potential drug targets and drugs for AD. Objective: We aimed to provide novel targets and drugs for the treatment of AD employing transcriptomic data of AD and normal control brain tissues from a new perspective. Methods: Our study combined the use of a multi-layer perceptron (MLP) with differential expression analysis, variance assessment and …molecular docking to screen targets and drugs for AD. Results: We identified the seven differentially expressed genes (DEGs) with the most significant variation (ANKRD39, CPLX1, FABP3, GABBR2, GNG3, PPM1E, and WDR49) in transcriptomic data from AD brain. A newly built MLP was used to confirm the association between the seven DEGs and AD, establishing these DEGs as potential drug targets. Drug databases and molecular docking results indicated that arbaclofen, baclofen, clozapine, arbaclofen placarbil, BML-259, BRD-K72883421, and YC-1 had high affinity for GABBR2, and FABP3 bound with oleic, palmitic, and stearic acids. Arbaclofen and YC-1 activated GABAB receptor through PI3K/AKT and PKA/CREB pathways, respectively, thereby promoting neuronal anti-apoptotic effect and inhibiting p-tau and Aβ formation. Conclusions: This study provided a new strategy for the identification of targets and drugs for the treatment of AD using deep learning. Seven therapeutic targets and ten drugs were selected by using this method, providing new insight for AD treatment. Show more
Keywords: Alzheimer’s disease, drug discovery, drug target, multi-layer perceptron, transcriptome data
DOI: 10.3233/JAD-231389
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 863-878, 2024
Authors: Stricker, Nikki H. | Christianson, Teresa J. | Pudumjee, Shehroo B. | Polsinelli, Angelina J. | Lundt, Emily S. | Frank, Ryan D. | Kremers, Walter K. | Machulda, Mary M. | Fields, Julie A. | Jack Jr., Clifford R. | Knopman, David S. | Graff-Radford, Jonathan | Vemuri, Prashanthi | Mielke, Michelle M. | Petersen, Ronald C.
Article Type: Research Article
Abstract: Background: Conventional normative samples include individuals with undetected Alzheimer’s disease neuropathology, lowering test sensitivity for cognitive impairment. Objective: We developed Mayo Normative Studies (MNS) norms limited to individuals without elevated amyloid or neurodegeneration (A–N–) for Rey’s Auditory Verbal Learning Test (AVLT). We compared these MNS A–N– norms in female, male, and total samples to conventional MNS norms with varying levels of demographic adjustments. Methods: The A–N– sample included 1,059 Mayo Clinic Study of Aging cognitively unimpaired (CU) participants living in Olmsted County, MN, who are predominantly non-Hispanic White. Using a regression-based approach correcting for age, sex, …and education, we derived fully-adjusted T-score formulas for AVLT variables. We validated these A–N– norms in two independent samples of CU (n = 261) and mild cognitive impairment (MCI)/dementia participants (n = 392) > 55 years of age. Results: Variability associated with age decreased by almost half in the A–N– norm sample relative to the conventional norm sample. Fully-adjusted MNS A–N– norms showed approximately 7– 9% higher sensitivity to MCI/dementia compared to fully-adjusted MNS conventional norms for trials 1– 5 total and sum of trials. Among women, sensitivity to MCI/dementia increased with each normative data refinement. In contrast, age-adjusted conventional MNS norms showed greatest sensitivity to MCI/dementia in men. Conclusions: A–N– norms show some benefits over conventional normative approaches to MCI/dementia sensitivity, especially for women. We recommend using these MNS A–N– norms alongside MNS conventional norms. Future work is needed to determine if normative samples that are not well characterized clinically show greater benefit from biomarker-refined approaches. Show more
Keywords: Alzheimer’s disease, biomarker norms, cognitive aging, dementia, memory, mild cognitive impairment, neuropsychology, Rey’s Auditory Verbal Learning Test, robust norms, sensitivity and specificity
DOI: 10.3233/JAD-240081
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 879-897, 2024
Authors: Bozzay, Melanie L. | Joyce, Hannah E. | Jiang, Lan | De Vito, Alyssa N. | Emrani, Sheina | Browne, Julia | Bayer, Thomas A. | Quinn, McKenzie J. | Primack, Jennifer M. | Kelso, Catherine M. | Wu, Wen-Chih | Rudolph, James L. | McGeary, John E. | Kunicki, Zachary J.
Article Type: Research Article
Abstract: Background: Older adults with heart failure are at elevated risk of Alzheimer’s disease and related dementias (AD/ADRD). Research suggests that insomnia and depressive episodes contribute somewhat dissociable impacts on risk for AD/ADRD in this patient population, although the temporal ordering of effects is unknown. Objective: This study examined time to dementia diagnosis among patients with comorbid insomnia and/or depressive episodes in an epidemiological sample. Methods: Secondary data analyses were conducted using a cohort study of 203,819 Veterans with a primary admission diagnosis of heart failure in 129 VA Medical Centers. Results: Patients with diagnoses …of both insomnia and depressive episodes had the shortest time to a dementia diagnosis at both 1-year (Hazard ratio = 1.43, 95% CI [1.36, 1.51]) and 3-year follow-up time points (Hazard ratio = 1.40, 95% CI [1.34, 1.47]) versus patients with one or neither comorbidity. Conclusions: Individuals with both comorbidities had the shortest time to dementia onset. Screening for these comorbidities may help to identify patients at elevated risk of dementia who could benefit from enhanced monitoring or early intervention strategies for more rapid detection and management of dementia symptoms. Show more
Keywords: Alzheimer’s disease, dementia, depression, heart failure, sleep disorders, Veterans
DOI: 10.3233/JAD-240080
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 899-909, 2024
Authors: Jin, He | Yang, Qiu | Chen, Guodong | Zhang, Wei | Wu, Yanchuan | Wang, Rong
Article Type: Research Article
Abstract: Background: Urinary Alzheimer-associated neuronal thread protein (AD7c-NTP) is a biomarker for the early diagnosis of Alzheimer’s disease (AD). It remains unclear whether hepatorenal function affects the urinary AD7c-NTP level. Objective: To evaluate the effects of hepatorenal function on urinary AD7c-NTP level. Methods: We enrolled 453 participants aged 60–100 years. An automated chemistry analyzer was used to determine the indicators of serum hepatorenal function. Enzyme-linked immunosorbent assay was used to measure the urinary AD7c-NTP level. Results: Spearman’s correlation analysis showed a negative correlation between urinary AD7c-NTP levels and indicators of hepatorenal function, including albumin (r … = –0.181, p < 0.001), albumin/globulin ratio (r = –0.224, p < 0.001), cholinesterase (r = –0.094, p = 0.046), total carbon dioxide (r = –0.102, p = 0.030), and glomerular filtration rate (r = –0.260, p < 0.001), as well as a positive correlation with globulin (r = 0.141, p = 0.003), aspartate transaminase (r = 0.186, p < 0.001), blood urine nitrogen (r = 0.210, p < 0.001), creatinine (r = 0.202, p < 0.001), uric acid (r = 0.229, p < 0.001), and cystatin C (r = 0.265, p < 0.001). The least absolute shrinkage and selection operator (LASSO) regression analysis and multiple linear regression model analyses showed that the statistically significant hepatorenal indicators for predicting AD7c-NTP were A/G (p = 0.007), AST (p = 0.002), BUN (p = 0.019), and UA (p = 0.003). Conclusions: The effects of hepatorenal indicators should be considered when using urinary AD7c-NTP levels in clinical settings. Show more
Keywords: Alzheimer’s disease, Alzheimer-associated neuronal thread protein, kidney, liver, hepatorenal indicator, urine
DOI: 10.3233/JAD-240148
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 911-921, 2024
Authors: Tuena, Cosimo | Serino, Silvia | Pedroli, Elisa | Stramba-Badiale, Chiara | Goulene, Karine Marie | Stramba-Badiale, Marco | Riva, Giuseppe
Article Type: Research Article
Abstract: Background: Egocentric and allocentric spatial memory impairments affect the navigation abilities of older adults with mild cognitive impairment (MCI). Embodied cognition research hints that specific aids can be implemented into virtual reality (VR) training to enhance spatial memory. Objective: In this study, we preliminarily tested ‘ANTaging’, an embodied-based immersive VR training for egocentric and allocentric memory, compared to treatment as usual (TAU) spatial training in MCI. Methods: MCI patients were recruited for this controlled trial. A cognitive battery was administered at pre-test, after ten sessions of ANTaging or TAU intervention, and at 3-month follow-up (FU). The …primary outcomes were spatial cognition tests (Corsi supra-span, CSS; Manikin test, MT). VR egocentric and allocentric performance was also collected. Results: We found that ANTaging significantly improved MT scores at FU compared to TAU. CSS slightly improved in both groups. Concerning secondary outcomes, auditory-verbal forgetting significantly improved at post-test in the ANTaging but not TAU group and significantly declined at FU in the TAU but not in the ANTaging group. Global cognition significantly improved at FU for TAU and remained stable for ANTaging. Other tests showed no improvement or deterioration. Clinical significance showed that ANTaging is effective for CSS. Virtual egocentric and allocentric memory performance improved across ANTaging sessions. Conclusions: ANTaging holds the potential to be superior for improving spatial cognition in MCI compared to TAU. Embodied cognition research provides insights for designing effective spatial navigation rehabilitation in aging. Show more
Keywords: Alzheimer’s disease, dementia, embodied cognition, mild cognitive impairment, rehabilitation, spatial cognition, virtual reality
DOI: 10.3233/JAD-240200
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 923-934, 2024
Authors: Gonzales, Mitzi M. | Kojis, Daniel | Spartano, Nicole L. | Thibault, Emma G. | DeCarli, Charles S. | El Fakhri, Georges | Johnson, Keith A. | Beiser, Alexa S. | Seshadri, Sudha
Article Type: Research Article
Abstract: Background: Higher midlife physical activity engagement has been associated with lower dementia risk in late life. However, the underlying mechanisms contributing to the protective effect remain unclear. Objective: The goal of the current study was to evaluate the associations of physical activity with cerebral amyloid-β (Aβ) and tau in a predominately middle-aged community-based cohort, as well as to explore whether the associations differ by sex or age. Methods: Participants from the Framingham Heart Study underwent 11 C-Pittsburgh Compound B amyloid and 18 F-Flortaucipir tau positron emission tomography (PET) imaging. Total physical activity levels were evaluated by …self-report using the Physical Activity Index (PAI). Cross-sectional associations between total PAI with regional Aβ and tau PET retention were evaluated using linear regression models adjusted for demographic and cardiovascular risk factors. Interactions with sex and age group were examined and stratified analyses were performed when significant. FDR-correction for multiple comparisons was applied. Results: The sample included 354 participants (mean age 53±8 years, 51% female). Higher total PAI scores were associated with lower entorhinal cortex tau PET binding (β (SE) = –0.021(0.008), p = 0.049). There were significant interactions with sex. In men alone, total PAI inversely associated with entorhinal cortex (β (SE) = –0.035(0.009), p = 0.001), inferior temporal (β (SE) = –0.029(0.010), p = 0.012), and rhinal cortex tau(β (SE) = –0.033(0.010), p = 0.002). Conclusions: The results suggest that higher midlife physical activity engagement may confer resistance to tau pathology. However, the effects may vary based on sex, highlighting the importance of better understanding and tailoring lifestyle interventions to address sex disparities. Show more
Keywords: Alzheimer’s disease, amyloid-β, midlife, PET imaging, physical activity, tau
DOI: 10.3233/JAD-240322
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 935-943, 2024
Authors: von Schnehen, Andres | Hobeika, Lise | Houot, Marion | Recher, Arnaud | Puisieux, François | Huvent-Grelle, Dominique | Samson, Séverine
Article Type: Research Article
Abstract: Background: Understanding the nature and extent of sensorimotor decline in aging individuals and those with neurocognitive disorders (NCD), such as Alzheimer’s disease, is essential for designing effective music-based interventions. Our understanding of rhythmic functions remains incomplete, particularly in how aging and NCD affect sensorimotor synchronization and adaptation to tempo changes. Objective: This study aimed to investigate how aging and NCD severity impact tapping to metronomes and music, with and without tempo changes. Methods: Patients from a memory clinic participated in a tapping task, synchronizing with metronomic and musical sequences, some of which contained sudden tempo changes. …After exclusions, 51 patients were included in the final analysis. Results: Participants’ Mini-Mental State Examination scores were associated with tapping consistency. Additionally, age negatively influenced consistency when synchronizing with a musical beat, whereas consistency remained stable across age when tapping with a metronome. Conclusions: The results indicate that the initial decline of attention and working memory with age may impact perception and synchronization to a musical beat, whereas progressive NCD-related cognitive decline results in more widespread sensorimotor decline, affecting tapping irrespective of audio type. These findings underline the importance of customizing rhythm-based interventions to the needs of older adults and individuals with NCD, taking into consideration their cognitive as well as their rhythmic aptitudes. Show more
Keywords: Aging, Alzheimer’s disease, auditory perception, dementia, music, neurodegenerative diseases
DOI: 10.3233/JAD-231433
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 945-959, 2024
Authors: Fu, Jiajia | Wei, Qianqian | Chen, Xueping | Lai, Xiaohui | Shang, Huifang
Article Type: Research Article
Abstract: Background: Previous research has suggested that pathogen infections may serve as potential contributors to dementia. Objective: Consequently, the study aimed to evaluate whether pathogen exposure heightens the risk of dementia. Methods: Between 2006 and 2010, a total of 8,144 individuals from the UK Biobank had data on pathogen antibodies and were included in the baseline assessment. Cox proportional hazard models were employed for the analysis. Results: Out of the 8,144 participants, 107 eventually developed dementia, while 55 participants were diagnosed with Alzheimer’s disease (AD). Multivariate Cox regression analysis revealed that the levels of pathogen …antibody titers of EBV and C. trachomatis were associated with an increased risk of dementia/AD. The highest quartile of EBV EBNA-1 and EBV VCA p18 , and the second quartile of H. pylori VacA significantly increased the risk of dementia compared lower quartile (EBV EBNA-1 : HR = 1.938, p = 0.018; EBV VCA p18 : HR = 1.824, p = 0.040; H. pylori VacA : HR = 1.890, p = 0.033). Besides, the highest quartile of EBV VCA p18 had a higher risk of AD compared lower quartile (HR = 2.755, p = 0.029). Conclusions: The study demonstrated that exposure to EBV , H. pylori , and C. trachomatis substantially elevated the risk of dementia/AD. Despite the relatively widespread occurrence of EBV infection in the population, elevated pathogen antibody titers were still found to increase the risk of dementia/AD. Besides, since C. trachomatis and C. pneumoniae are quite homologous, this study found that trachomatis (C. trachomatis /C. pneumoniae ) may be significantly associated with the risk of AD/dementia. Show more
Keywords: Alzheimer’s disease, dementia, exposure, pathogen antibody
DOI: 10.3233/JAD-240073
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 961-972, 2024
Authors: Leng, Fangda | Hinz, Rainer | Gentleman, Steve | Dani, Melanie | Brooks, David J. | Edison, Paul
Article Type: Research Article
Abstract: Background: Neuroinflammation in Alzheimer’s disease is known as an important process in the disease, yet how microglial activation affects disease progression remains unclear. Objective: The current study aims to interrogate the predictive value of neuroinflammation biomarker (11 C-PBR28 PET), together with A/T/N imaging markers on disease deterioration in a cognitively impaired patient cohort. Methods: The study included 6 AD and 27 MCI patients, who had MRI, 11 C-PBR28, 18 F-flutemetamol (amyloid marker), 18 F-AV1451 (tau marker) PET scans, and were followed up with multiple neuropsychological assessments for at least one year (1.6 and 2.8 years on …average for AD and MCI). The predictive values of imaging biomarkers on baseline and longitudinal cognition were interrogated using linear regression to identify the biomarkers that could explain disease progression. Results: Linear mixed models found the average intercepts (baseline) MMSE were 23.5 for AD and 28.2 for MCI patients, and the slope of MMSE (annual change) were –0.74 for AD and –0.52 for MCI patients. White matter microstructural integrity was predictive of baseline cognition, while PET markers of amyloid, tau and neuroinflammation were predictive of longitudinal cognitive decline. Both amyloid and neuroinflammation PET markers were predictors independent of each other. And a sub-group analysis showed the predictive effect of neuroinflammation on cognitive decline is independent of amyloid and tau. Conclusions: Our study highlights the prognostic value of disease specific markers (amyloid, tau and neuroinflammation) in clinically diagnosed AD and MCI patients and suggests that the effects of these molecular markers are mediated by structural damage to the brain. Show more
Keywords: Alzheimer’s disease, 11C-PBR28, mild cognitive impairment, neuroinflammation, positron emission tomography
DOI: 10.3233/JAD-230442
Citation: Journal of Alzheimer's Disease, vol. 100, no. 3, pp. 973-986, 2024
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