Journal of Alzheimer's Disease - Volume 92, issue 3

Authors: Li, Qiong-Yao | Li, Xue-Mei | Hu, He-Ying | Ma, Ya-Hui | Ou, Ya-Nan | Wang, An-Yi | Tan, Lan | Yu, Jin-Tai

Article Type: Research Article

Abstract: Background: There are controversies surrounding the effects of lung function decline on cognitive impairment and dementia. Objective: We conducted a meta-analysis and systematic review to explore the associations of lung function decline with the risks of cognitive impairment and dementia. Methods: The PubMed, EMBASE, and the Cochrane Library were searched to identify prospective studies published from database inception through January 10, 2023. We pooled relative risk (RR) and 95% confidence intervals (CI) using random-effects models. The Egger test, funnel plots, meta-regression, sensitivity, and subgroup analyses were conducted to detect publication bias and investigate the source of …heterogeneity. Results: Thirty-three articles with a total of 8,816,992 participants were subjected to meta-analysis. Poorer pulmonary function was associated with an increased risk of dementia (FEV: RR = 1.25 [95% CI, 1.17–1.33]; FVC: RR = 1.40 [95% CI, 1.16–1.69]; PEF: RR = 1.84 [95% CI, 1.37–2.46]). The results of the subgroup analyses were similar to the primary results. Individuals with lung diseases had a higher combined risk of dementia and cognitive impairment (RR = 1.39 [95% CI, 1.20–1.61]). Lung disease conferred an elevated risk of cognitive impairment (RR = 1.37 [95% CI, 1.14–1.65]). The relationship between lung disease and an increased risk of dementia was only shown in total study participants (RR = 1.32 [95% CI, 1.11–1.57]), but not in the participants with Alzheimer’s disease (RR = 1.39 [95% CI, 1.00–1.93]) or vascular dementia (RR = 2.11 [95% CI, 0.57–7.83]). Conclusion: Lung function decline was significantly associated with higher risks of cognitive impairment and dementia. These findings might provide implications for the prevention of cognitive disorders and the promotion of brain health. Show more

Keywords: Cognitive impairment, dementia, lung function, lung disease, meta-analysis

DOI: 10.3233/JAD-221136

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 853-873, 2023

Authors: Chu, Che-Sheng | Wang, Di-Yuan | Liang, Chih-Kuang | Chou, Ming-Yueh | Hsu, Ying-Hsin | Wang, Yu-Chun | Liao, Mei-Chen | Chu, Wei-Ta | Lin, Yu-Te

Article Type: Research Article

Abstract: Background: Early identification of different stages of cognitive impairment is important to provide available intervention and timely care for the elderly. Objective: This study aimed to examine the ability of the artificial intelligence (AI) technology to distinguish participants with mild cognitive impairment (MCI) from those with mild to moderate dementia based on automated video analysis. Methods: A total of 95 participants were recruited (MCI, 41; mild to moderate dementia, 54). The videos were captured during the Short Portable Mental Status Questionnaire process; the visual and aural features were extracted using these videos. Deep learning models were …subsequently constructed for the binary differentiation of MCI and mild to moderate dementia. Correlation analysis of the predicted Mini-Mental State Examination, Cognitive Abilities Screening Instrument scores, and ground truth was also performed. Results: Deep learning models combining both the visual and aural features discriminated MCI from mild to moderate dementia with an area under the curve (AUC) of 77.0% and accuracy of 76.0%. The AUC and accuracy increased to 93.0% and 88.0%, respectively, when depression and anxiety were excluded. Significant moderate correlations were observed between the predicted cognitive function and ground truth, and the correlation was strong excluding depression and anxiety. Interestingly, female, but not male, exhibited a correlation. Conclusion: The study showed that video-based deep learning models can differentiate participants with MCI from those with mild to moderate dementia and can predict cognitive function. This approach may offer a cost-effective and easily applicable method for early detection of cognitive impairment. Show more

Keywords: Artificial intelligence, dementia, machine learning, mild cognitive impairment, video analysis

DOI: 10.3233/JAD-220999

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 875-886, 2023

Authors: Shir, Dror | Mielke, Michelle M. | Hofrenning, Ekaterina I. | Lesnick, Timothy G. | Knopman, David S. | Petersen, Ronald C. | Jack Jr, Clifford R. | Algeciras-Schimnich, Alicia | Vemuri, Prashanthi | Graff-Radford, Jonathan

Article Type: Research Article

Abstract: Background: The National Institute on Aging-Alzheimer’s Association Research Framework proposes defining Alzheimer’s disease by grouping imaging and fluid biomarkers by their respective pathologic processes. The AT(N) structure proposes several neurodegenerative fluid biomarkers (N) including total tau (t-tau), neurogranin (Ng), and neurofilament light chain (NfL). However, pathologic drivers influencing each biomarker remain unclear. Objective: To determine whether cerebrospinal fluid (CSF)-neurodegenerative biomarkers (N) map differentially to Alzheimer’s disease pathology measured by Aβ42 (an indicator of amyloidosis, [A]), p-tau (an indicator of tau deposition, [T]), and MRI vascular pathology indicators (measured by white-matter integrity, infarcts, and microbleeds [V]). …Methods: Participants were from Mayo Clinic Study of Aging (MCSA) with CSF measures of NfL, Ng, t-tau, Aβ42 , and p-tau and available MRI brain imaging. Linear models assessed associations between CSF neurodegeneration (N) markers, amyloid markers (A), tau (T), and vascular pathology (V). Results: Participants (n  = 408) had a mean age of 69.2±10.7; male, 217 (53.2%); cognitively unimpaired, 359 (88%). All three neurodegeneration biomarkers correlated with age (p  < 0.001 for NfL and t-tau, p  = 0.018 for Ng). Men had higher CSF-NfL levels; women had higher Ng (p  < 0.001). NfL and t-tau levels correlated with infarcts (p  = 0.009, p  = 0.034 respectively); no biomarkers correlated with white-matter integrity. N biomarkers correlated with p-tau levels (T, p  < 0.001). Higher Aβ42 levels associated with higher N-biomarker levels but only among cognitively unimpaired (A, p  < 0.001). Conclusion: The influence of vascular pathology in the general population on CSF (N) biomarkers is modest, with greater influence of infarcts than white-matter disruption. Neurodegeneration markers more closely correlated with tau than amyloid markers. Show more

Keywords: Alzheimer’s disease, amyloid, cerebrospinal fluid, neurodegeneration, neurofilament light chain, neurogranin, total tau, white matter integrity

DOI: 10.3233/JAD-221015

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 887-898, 2023

Authors: Hao, Shu-Wen | Li, Tao-Ran | Han, Chao | Han, Ying | Cai, Yan-Ning

Article Type: Research Article

Abstract: Background: Several studies have examined NCAPH2 methylation in amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD), but little is known of NCAPH2 methylation in subjective cognitive decline (SCD). Objective: To examine whether methylation of peripheral NCAPH2 are differentially changed at various phases of AD, and whether it could serve as a diagnostic biomarker for SCD. Methods: A total of 40 AD patients, 52 aMCI patients, 148 SCD patients, and 193 cognitively normal controls (NCs) were recruited in the current case-control study. Besides, 54 cognitively normal individuals have received amyloid positron emission tomography …(amyloid PET) scans. Using bisulfite pyrosequencing method, we measured blood DNA methylation in the NCAPH2 gene promoter. Results: The main outcomes were: 1) For SCD, there was no significant difference between SCD and NC regarding NCAPH2 methylation; 2) For aMCI, NCAPH2 methylation at CpG2 were significantly lower in aMCI compared with NC and SCD in the entire population and male subgroup; 3) For AD, NCAPH2 methylation at CpG1 were significantly lower in AD compared with NC among females; 4) A relationship with apolipoprotein E (APOE ) ɛ 4 status was shown. Receiver operating characteristic (ROC) analysis by combining NCAPH2 methylation, age, education, and APOE ɛ 4 status could distinguish between patients with aMCI (area under the curve (AUC): 0.742) and AD (AUC: 0.873) from NCs. Conclusion: NCAPH2 methylation levels were altered at the aMCI and AD stage and may be convenient and cost-effective biomarkers of AD and aMCI. Show more

Keywords: Alzheimer’s disease, amnestic mild cognitive impairment, amyloid PET, methylation, NCAPH2, subjective cognitive decline

DOI: 10.3233/JAD-221211

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 899-909, 2023

Authors: Acosta-Baena, Natalia | Lopera-Gómez, Carlos M. | Jaramillo-Elorza, Mario C. | Velilla-Jiménez, Lina | Villegas-Lanau, Carlos Andrés | Sepúlveda-Falla, Diego | Arcos-Burgos, Mauricio | Lopera, Francisco

Article Type: Research Article

Abstract: Background: Depression is associated with Alzheimer’s disease (AD). Objective: To evaluate the association between depressive symptoms and age of onset of cognitive decline in autosomal dominant AD, and to determine possible factors associated to early depressive symptoms in this population. Methods: We conducted a retrospective study to identify depressive symptoms among 190 presenilin 1 (PSEN1 ) E280A mutation carriers, subjected to comprehensive clinical evaluations in up to a 20-year longitudinal follow-up. We controlled for the following potential confounders: APOE , sex, hypothyroidism, education, marital status, residence, tobacco, alcohol, and drug abuse. Results: PSEN1 …E280A carriers with depressive symptoms before mild cognitive impairment (MCI) develop dementia faster than E280A carriers without depressive symptoms (Hazard Ratio, HR = 1.95; 95% CI, 1.15–3.31). Not having a stable partner accelerated the onset of MCI (HR = 1.60; 95 % CI, 1.03–2.47) and dementia (HR = 1.68; 95 % CI, 1.09–2.60). E280A carriers with controlled hypothyroidism had later age of onset of depressive symptoms (HR = 0.48; 95 % CI, 0.25–0.92), dementia (HR = 0.43; 95 % CI, 0.21–0.84), and death (HR = 0.35; 95 % CI, 0.13–0.95). APOE ɛ 2 significantly affected AD progression in all stages. APOE polymorphisms were not associate to depressive symptoms. Women had a higher frequency and developed earlier depressive symptoms than men throughout the illness (HR = 1.63; 95 % CI, 1.14–2.32). Conclusion: Depressive symptoms accelerated progress and faster cognitive decline of autosomal dominant AD. Not having a stable partner and factors associated with early depressive symptoms (e.g., in females and individuals with untreated hypothyroidism), could impact prognosis, burden, and costs. Show more

Keywords: Apolipoprotein E, depression, depressive disorder, early-onset Alzheimer’s disease, familial Alzheimer’s disease, prognosis factors

DOI: 10.3233/JAD-221294

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 911-923, 2023

Authors: Ersoezlue, Ersin | Perneczky, Robert | Tato, Maia | Utecht, Julia | Kurz, Carolin | Häckert, Jan | Guersel, Selim | Burow, Lena | Koller, Gabriele | Stoecklein, Sophia | Keeser, Daniel | Papazov, Boris | Totzke, Marie | Ballarini, Tommaso | Brosseron, Frederic | Buerger, Katharina | Dechent, Peter | Dobisch, Laura | Ewers, Michael | Fliessbach, Klaus | Glanz, Wenzel | Haynes, John Dylan | Heneka, Michael T. | Janowitz, Daniel | Kilimann, Ingo | Kleineidam, Luca | Laske, Christoph | Maier, Franziska | Munk, Matthias H. | Peters, Oliver | Priller, Josef | Ramirez, Alfredo | Roeske, Sandra | Roy, Nina | Scheffler, Klaus | Schneider, Anja | Schott, Björn H. | Spottke, Annika | Spruth, Eike J. | Teipel, Stefan | Unterfeld, Chantal | Wagner, Michael | Wang, Xiao | Wiltfang, Jens | Wolfsgruber, Steffen | Yakupov, Renat | Duezel, Emrah | Jessen, Frank | Rauchmann, Boris-Stephan

Article Type: Research Article

Abstract: Background: Cognitive reserve (CR) explains inter-individual differences in the impact of the neurodegenerative burden on cognitive functioning. A residual model was proposed to estimate CR more accurately than previous measures. However, associations between residual CR markers (CRM) and functional connectivity (FC) remain unexplored. Objective: To explore the associations between the CRM and intrinsic network connectivity (INC) in resting-state networks along the neuropathological-continuum of Alzheimer’s disease (ADN). Methods: Three hundred eighteen participants from the DELCODE cohort were stratified using cerebrospinal fluid biomarkers according to the A(myloid-β)/T(au)/N(eurodegeneration) classification. CRM was calculated utilizing residuals obtained from a multilinear regression …model predicting cognition from markers of disease burden. Using an independent component analysis in resting-state fMRI data, we measured INC of resting-state networks, i.e., default mode network (DMN), frontoparietal network (FPN), salience network (SAL), and dorsal attention network. The associations of INC with a composite memory score and CRM and the associations of CRM with the seed-to-voxel functional connectivity of memory-related were tested in general linear models. Results: CRM was positively associated with INC in the DMN in the entire cohort. The A+T+N+ group revealed an anti-correlation between the SAL and the DMN. Furthermore, CRM was positively associated with anti-correlation between memory-related regions in FPN and DMN in ADN and A+T/N+. Conclusion: Our results provide evidence that INC is associated with CRM in ADN defined as participants with amyloid pathology with or without cognitive symptoms, suggesting that the neural correlates of CR are mirrored in network FC in resting-state. Show more

Keywords: Alzheimer’s disease, cognition, cognitive reserve, functional MRI, intrinsic network connectivity, resting-state functional connectivity

DOI: 10.3233/JAD-220464

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 925-940, 2023

Authors: Marcisz, Anna | Polanska, Joanna

Article Type: Research Article

Abstract: Background: Detecting early-stage Alzheimer’s disease (AD) is still problematic in clinical practice. This work aimed to find T1-weighted MRI-based markers for AD and mild cognitive impairment (MCI) to improve the screening process. Objective: Our assumption was to build a screening model that would be accessible and easy to use for physicians in their daily clinical routine. Methods: The multinomial logistic regression was used to detect status: AD, MCI, and normal control (NC) combined with the Bayesian information criterion for model selection. Several T1-weighted MRI-based radiomic features were considered explanatory variables in the prediction …model. Results: The best radiomic predictor was the relative brain volume. The proposed method confirmed its quality by achieving a balanced accuracy of 95.18%, AUC of 93.25%, NPV of 97.93%, and PPV of 90.48% for classifying AD versus NC for the European DTI Study on Dementia (EDSD). The comparison of the two models: with the MMSE score only as an independent variable and corrected for the relative brain value and age, shows that the addition of the T1-weighted MRI-based biomarker improves the quality of MCI detection (AUC: 67.04% versus 71.08%) while maintaining quality for AD (AUC: 93.35% versus 93.25%). Additionally, among MCI patients predicted as AD inconsistently with the original diagnosis, 60% from ADNI and 76.47% from EDSD were re-diagnosed as AD within a 48-month follow-up. It shows that our model can detect AD patients a few years earlier than a standard medical diagnosis. Conclusion: The created method is non-invasive, inexpensive, clinically accessible, and efficiently supports AD/MCI screening. Show more

Keywords: Alzheimer’s disease, magnetic resonance imaging, mild cognitive impairment, multinomial logistic regression

DOI: 10.3233/JAD-220806

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 941-957, 2023

Authors: Welberry, Heidi J. | Chau, Tiffany | Heffernan, Megan | San Jose, Juan Carlo | Jorm, Louisa R. | Singh, Maria Fiatarone | Sachdev, Perminder S. | Anstey, Kaarin J. | Lautenschlager, Nicola T. | Valenzuela, Michael | McNeil, John J. | Brodaty, Henry

Article Type: Research Article

Abstract: Background: The Maintain Your Brain (MYB) trial aims to prevent cognitive decline and dementia through multidomain, web-based risk-reduction. To facilitate translation, it is important to understand drivers of participation. Objective: To describe characteristics associated with participation in MYB. Methods: This was an observational ancillary study of MYB, a randomized controlled trial nested within the 45 and Up Study in New South Wales, Australia. We linked 45 and Up Study survey and MYB participation data. The study cohort comprised 45 and Up Study participants, aged 55–77 years at 1 January 2018, who were invited to participate …in MYB. 45 and Up Study participant characteristics and subsequent MYB consent and participation were examined. Results: Of 98,836 invited, 13,882 (14%) consented to participate and 6,190 participated (6%). Adjusting for age and sex, a wide range of factors were related to participation. Higher educational attainment had the strongest relationship with increased MYB participation (university versus school non-completion; AdjOR = 5.15; 95% CI:4.70–5.64) and lower self-rated quality of life with reduced participation (Poor versus Excellent: AdjOR = 0.19; 95% CI:0.11–0.32). A family history of Alzheimer’s disease was related to increased participation but most other dementia risk factors such as diabetes, obesity, stroke, high blood pressure, and current smoking were associated with reduced participation. Conclusion: Higher socio-economic status, particularly educational attainment, is strongly associated with engagement in online dementia prevention research. Increasing population awareness of dementia risk factors, and better understanding the participation barriers in at-risk groups, is necessary to ensure online interventions are optimally designed to promote maximum participation. Show more

Keywords: Cognitive decline, dementia, health behaviors, internet-based intervention, preventive health, risk factors, risk reduction

DOI: 10.3233/JAD-220990

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 959-974, 2023

Authors: Dowllah, Imtiaz Masfique | Lopez-Alvarenga, Juan | Maestre, Gladys E. | Karabulut, Ulku | Lehker, Michael | Karabulut, Murat

Article Type: Research Article

Abstract: Background: Physical activity (PA) has emerged as a promising approach to delay Alzheimer’s disease and related dementias, but the optimal intensity of PA to improve cognitive health remains unknown. Objective: To evaluate the association between duration and intensity of PA and cognitive domains (executive function, processing speed, and memory) in aging Americans. Methods: Linear regressions in hierarchical blocks for variable adjustment and the size of effect (η 2 ) were analyzed by using the data of 2,377 adults (age = 69.3±6.7 years) from the NHANES 2011–2014. Results: Participants with 3–6 h/week of vigorous- and > 1 h/week of moderate-intensity PA …scored significantly higher in executive function and processing speed domains of cognition compared to inactive peers (η 2  = 0.005 & 0.007 respectively, p  < 0.05). After adjustment, the beneficial effects of 1–3 h /week of vigorous-intensity PA became trivial for delayed recall memory domain test scores (β= 0.33; 95% CI: –0.01,0.67; η 2  = 0.002; p  = 0.56). There was no linear dose-response relationship between the cognitive test scores and weekly moderate-intensity of PA. Interestingly, higher handgrip strength and higher late-life body mass index were associated with a higher performance across all cognitive domains. Conclusion: Our study supports habitual PA with superior cognition health in some but not all domains among older adults. Furthermore, increased muscle strength and higher late-life adiposity may also impact cognition. Show more

Keywords: Alzheimer’s disease, body mass index, cognitive function, executive function, handgrip strength, physical activity

DOI: 10.3233/JAD-221151

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 975-987, 2023

Authors: Ding, Pingjian | Gorenflo, Maria P. | Zhu, Xiaofeng | Xu, Rong

Article Type: Research Article

Abstract: Background: Observational studies have shown inconsistent findings of the relationships between aspirin use and the risk of Alzheimer’s disease (AD). Objective: Since residual confounding and reverse causality were challenging issues inherent in observational studies, we conducted a 2-sample Mendelian randomization analysis (MR) to investigate whether aspirin use was causally associated with the risk of AD. Methods: We conducted 2-sample MR analyses utilizing summary genetic association statistics to estimate the potential causal relationship between aspirin use and AD. Single-nucleotide variants associated with aspirin use in a genome-wide association study (GWAS) of UK Biobank were considered as genetic …proxies for aspirin use. The GWAS summary-level data of AD were derived from a meta-analysis of GWAS data from the International Genomics of Alzheimer’s Project (IGAP) stage I. Results: Univariable MR analysis based on these two large GWAS data sources showed that genetically proxied aspirin use was associated with a decreased risk of AD (Odds Ratio (OR): 0.87; 95%CI: 0.77–0.99). In multivariate MR analyses, the causal estimates remained significant after adjusting for chronic pain, inflammation, heart failure (OR = 0.88, 95%CI = 0.78–0.98), or stroke (OR = 0.87, 95%CI = 0.77–0.99), but was attenuated when adjusting for coronary heart disease, blood pressure, and blood lipids. Conclusion: Findings from this MR analysis suggest a genetic protective effect of aspirin use on AD, possibly influenced by coronary heart disease, blood pressure, and lipid levels. Show more

Keywords: Alzheimer’s disease, aspirin, blood pressure, cardiovascular disease, inflammation, lipids, pain, 2-sample Mendelian randomization analysis

DOI: 10.3233/JAD-220787

Citation: Journal of Alzheimer's Disease, vol. 92, no. 3, pp. 989-1000, 2023