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Results in Journal Alzheimer's & Dementia: 41,677

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Danièlle Gunn‐Moore, Oksana Kaidanovich‐Beilin, María Carolina Gallego Iradi, Frank Gunn‐Moore,
Published: 30 September 2017
Alzheimer's & Dementia, Volume 14, pp 195-204; https://doi.org/10.1016/j.jalz.2017.08.014

Abstract:
Two diseases of the modern world-Alzheimer's and diabetes mellitus-are linked by epidemiology, genetics, and molecular pathogenesis. They may also be linked by the remarkable observation that insulin signaling sets the limits on longevity. In worms, flies, and mice, disrupting insulin signaling increases life span leading some to speculate that caloric restriction might extend life span in man. It is our contention that man is already a long-lived organism, specifically with a remarkably high postfertility life span, and that it is the reason that results in the high prevalence of Alzheimer's and diabetes. We review evidence for this hypothesis that carries specific predictions including that other animals with exceptionally long postreproductive life span will have increased risk of both diabetes and Alzheimer's disease and present novel evidence that Dolphin, like man, an animal with exceptional longevity, might be one of the very few natural models of Alzheimer's disease.
Published: 30 September 2017
Alzheimer's & Dementia, Volume 14, pp 148-156; https://doi.org/10.1016/j.jalz.2017.07.755

Abstract:
The relative contributions of vascular and degenerative pathology to dementia are unknown. We aim to quantify the proportion of dementia explained by potentially preventable vascular lesions.We systematically searched for population-based cohorts before February 2017 reporting clinicopathological data for individuals with and without dementia. We calculated the summary proportion and absolute risk of dementia comparing subjects with and without the pathology.We identified 10 studies comprising 2856 subjects. Vascular-type pathology and mixed pathology are respectively two and three times more likely in demented patients. The summary proportion of dementia is 77%-86% in subjects with mixed degenerative and vascular pathology and 45% in subjects with pure Alzheimer-type pathology.Patients with mixed pathologies have nearly twice the incremental risk of dementia compared with patients with only Alzheimer-type lesions. Consequently, many cases of dementia could be prevented or delayed by targeting the vascular component.
Paul A. Parcon, Meenakshisundaram Balasubramaniam, Srinivas Ayyadevara, Richard A. Jones, Ling Liu, Robert J. Shmookler Reis, , Robert E. Mrak,
Published: 22 September 2017
Alzheimer's & Dementia, Volume 14, pp 230-242; https://doi.org/10.1016/j.jalz.2017.07.754

The publisher has not yet granted permission to display this abstract.
, Luis J. Mena, Jesus D. Melgarejo, Daniel C. Aguirre‐Acevedo, Gloria Pino‐Ramírez, Milady Urribarrí, Inara J. Chacon, Carlos A. Chávez, Luis Falque‐Madrid, Ciro A. Gaona, et al.
Published: 21 September 2017
Alzheimer's & Dementia, Volume 14, pp 140-147; https://doi.org/10.1016/j.jalz.2017.06.2636

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Carlos Cruchaga, , Benjamin Saef, Kathleen Black, Maria Victoria Fernandez, , , Yuetiva Deming, , Giuseppe Tosto, et al.
Published: 21 September 2017
Alzheimer's & Dementia, Volume 14, pp 205-214; https://doi.org/10.1016/j.jalz.2017.08.013

The publisher has not yet granted permission to display this abstract.
, , Thomas J. Anastasio, Brain Health Modeling Initiative
Published: 14 September 2017
Alzheimer's & Dementia, Volume 13, pp 1292-1302; https://doi.org/10.1016/j.jalz.2017.08.011

Abstract:
Neurodegenerative diseases such as Alzheimer's disease (AD) follow a slowly progressing dysfunctional trajectory, with a large presymptomatic component and many comorbidities. Using preclinical models and large-scale omics studies ranging from genetics to imaging, a large number of processes that might be involved in AD pathology at different stages and levels have been identified. The sheer number of putative hypotheses makes it almost impossible to estimate their contribution to the clinical outcome and to develop a comprehensive view on the pathological processes driving the clinical phenotype. Traditionally, bioinformatics approaches have provided correlations and associations between processes and phenotypes. Focusing on causality, a new breed of advanced and more quantitative modeling approaches that use formalized domain expertise offer new opportunities to integrate these different modalities and outline possible paths toward new therapeutic interventions. This article reviews three different computational approaches and their possible complementarities. Process algebras, implemented using declarative programming languages such as Maude, facilitate simulation and analysis of complicated biological processes on a comprehensive but coarse-grained level. A model-driven Integration of Data and Knowledge, based on the OpenBEL platform and using reverse causative reasoning and network jump analysis, can generate mechanistic knowledge and a new, mechanism-based taxonomy of disease. Finally, Quantitative Systems Pharmacology is based on formalized implementation of domain expertise in a more fine-grained, mechanism-driven, quantitative, and predictive humanized computer model. We propose a strategy to combine the strengths of these individual approaches for developing powerful modeling methodologies that can provide actionable knowledge for rational development of preventive and therapeutic interventions
, Andreea Rawlings, A. Richey Sharrett, Karen Bandeen‐Roche, , Christie M. Ballantyne, , , , , et al.
Published: 12 September 2017
Alzheimer's & Dementia, Volume 14, pp 167-177; https://doi.org/10.1016/j.jalz.2017.07.757

The publisher has not yet granted permission to display this abstract.
Published: 5 September 2017
Alzheimer's & Dementia, Volume 13, pp 1174-1178; https://doi.org/10.1016/j.jalz.2017.08.010

Abstract:
Our findings may suggest potential deficiencies in ambulatory care and postdischarge care related to managing comorbidities among Medicare fee-for-service ADRD patients.
Published: 21 August 2017
Alzheimer's & Dementia, Volume 14, pp 20-27; https://doi.org/10.1016/j.jalz.2017.06.2267

Abstract:
ED attendance in the last year of life for people with dementia is common and is increasing. Policy makers must pay attention to a broader range of indicators of poor end-of-life care alongside the place of death.
Gopinadh Bhyrapuneni, Nageshwara Rao Muddana, Vishwottam Kandikere, Vijay Benade, Ranjith Kumar Ponnamaneni, Koteshwara Mudigonda, Ramakrishna Nirogi
Published: 1 July 2010
Alzheimer's & Dementia, Volume 6; https://doi.org/10.1016/j.jalz.2010.05.1921

Andrés Crane, William D. Brubaker, Jenny U. Johansson, Abhishek Trigunaite, Justine Ceballos, Bonnie Bradt, , Tanya L. Wallace, ,
Published: 26 July 2017
Alzheimer's & Dementia, Volume 14, pp 243-252; https://doi.org/10.1016/j.jalz.2017.04.015

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K. Min, Mark Forman, Marissa Dockendorf, John Palcza, Peter Soni, Lei Ma, Gopal Krishna, Peter Hodsman, Kazuko Masuo, Michael Tanen, et al.
Published: 1 July 2012
Alzheimer's & Dementia, Volume 8; https://doi.org/10.1016/j.jalz.2012.05.504

The publisher has not yet granted permission to display this abstract.
, Huub‐Jan Kleijn, Marissa Dockendorf, John Palcza, Jack Tseng, Christina Canales, Michael Egan, Matthew Kennedy, Omar Laterza, Lei Ma, et al.
Published: 1 July 2013
Alzheimer's & Dementia, Volume 9; https://doi.org/10.1016/j.jalz.2013.04.083

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, , Teresa Poole, Chris Frost, Tammie L.S. Benzinger, R. Laila Ahsan, Kelvin K. Leung, , Marc Modat, Ian B. Malone, et al.
Published: 21 July 2017
Alzheimer's & Dementia, Volume 14, pp 43-53; https://doi.org/10.1016/j.jalz.2017.06.2268

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, Lars Pedersen, David Ansel, Myriam Alexander, H. Michael Arrighi, Paul Avillach, Nadia Foskett, Rosa Gini, Mark F. Gordon, Usha Gungabissoon, et al.
Published: 20 July 2017
Alzheimer's & Dementia, Volume 14, pp 130-139; https://doi.org/10.1016/j.jalz.2017.06.2270

Abstract:
The European Medical Information Framework consortium has assembled electronic health record (EHR) databases for dementia research. We calculated dementia prevalence and incidence in 25 million persons from 2004 to 2012.Six EHR databases (three primary care and three secondary care) from five countries were interrogated. Dementia was ascertained by consensus harmonization of clinical/diagnostic codes. Annual period prevalences and incidences by age and gender were calculated and meta-analyzed.The six databases contained 138,625 dementia cases. Age-specific prevalences were around 30% of published estimates from community samples and incidences were around 50%. Pooled prevalences had increased from 2004 to 2012 in all age groups but pooled incidences only after age 75 years. Associations with age and gender were stable over time.The European Medical Information Framework initiative supports EHR data on unprecedented number of people with dementia. Age-specific prevalences and incidences mirror estimates from community samples in pattern at levels that are lower but increasing over time.
, Jeffrey R. Misialek, Thomas H. Mosley, Rebecca F. Gottesman, Naresh M. Punjabi, Eyal Shahar, Richard MacLehose, , David Knopman, Alvaro Alonso
Published: 21 July 2017
Alzheimer's & Dementia, Volume 14, pp 157-166; https://doi.org/10.1016/j.jalz.2017.06.2269

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Vitaliy Ovod, Kara N. Ramsey, Kwasi G. Mawuenyega, Jim G. Bollinger, Terry Hicks, Theresa Schneider, Melissa Sullivan, Katrina Paumier, David M. Holtzman, John C. Morris, et al.
Published: 19 July 2017
Alzheimer's & Dementia, Volume 13, pp 841-849; https://doi.org/10.1016/j.jalz.2017.06.2266

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, Courtney L. Sutphen, Charlotte Teunissen, Lena M. McCue, John C. Morris, David M. Holtzman, Sandra D. Mulder, Philip Scheltens, Chengjie Xiong,
Published: 12 July 2017
Alzheimer's & Dementia, Volume 14, pp 62-70; https://doi.org/10.1016/j.jalz.2017.06.2264

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Laura Frain, David Swanson, Kelly Cho, David Gagnon, Kun Ping Lu, Rebecca A. Betensky,
Published: 12 July 2017
Alzheimer's & Dementia, Volume 13, pp 1364-1370; https://doi.org/10.1016/j.jalz.2017.04.012

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Dong Young Lee, Il Han Choo, Eun Hyun Seo, Bo Kyung Sohn, Jae Hwa Park, Jee Wook Kim, Jong Inn Woo
Published: 1 July 2011
Alzheimer's & Dementia, Volume 7; https://doi.org/10.1016/j.jalz.2011.05.120

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Vikash Mishra, Mitali Mishra, Varsha Kashaw, Sushil Kashaw
Published: 1 July 2012
Alzheimer's & Dementia, Volume 8; https://doi.org/10.1016/j.jalz.2012.05.1111

The publisher has not yet granted permission to display this abstract.
, , Liou Xu, Marta Mendiondo, Allison Caban‐Holt, , Cecil Runyons, William R. Markesbery
Published: 1 July 2009
Alzheimer's & Dementia, Volume 5; https://doi.org/10.1016/j.jalz.2009.04.285

The publisher has not yet granted permission to display this abstract.
Timothy A. Satalich, William R. Shankle, Gregory E. Alexander, William H. Batchelder
Published: 1 July 2014
Alzheimer's & Dementia, Volume 10; https://doi.org/10.1016/j.jalz.2014.05.1494

, Eduard Vilaplana, , Victor Montal, , Rafael Blesa, , , Alzheimer's Disease Neuroimaging Initiative
Published: 10 July 2017
Alzheimer's & Dementia, Volume 13, pp 1072-1074; https://doi.org/10.1016/j.jalz.2017.06.002

Published: 7 July 2017
Alzheimer's & Dementia, Volume 14, pp 10-19; https://doi.org/10.1016/j.jalz.2017.05.004

Abstract:
Dementia may be associated with discontinuation of regular dental checkups, which in turn results in poorer oral health.We investigated the trend of change in dental care utilization and the number of teeth before and after being diagnosed with dementia. Longitudinal cognitive- and dental health-related information were merged using data on 58,037 newly diagnosed individuals from the Swedish Dementia Registry and Swedish Dental Health Register during 2007 to 2015.Following dementia diagnosis, rate of dental care visits significantly declined. Individuals with mixed dementia, dementia with parkinsonism, and those with faster cognitive impairment had significantly higher rate of decline in dental care utilization. Vascular dementia and lower baseline Mini-Mental State Examination score were significant predictors of faster loss of teeth.Dental care utilization markedly declines following dementia diagnosis. The reduction is more prominent in those with rapid progressive cognitive impairment and the ones with extra frailty burden.
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