Literature DB >> 28482212

The frequency and influence of dementia risk factors in prodromal Alzheimer's disease.

Isabelle Bos1, Stephanie J Vos2, Lutz Frölich3, Johannes Kornhuber4, Jens Wiltfang5, Wolfgang Maier6, Oliver Peters7, Eckhart Rüther8, Sebastiaan Engelborghs9, Ellis Niemantsverdriet10, Ellen Elisa De Roeck11, Magda Tsolaki12, Yvonne Freund-Levi13, Peter Johannsen14, Rik Vandenberghe15, Alberto Lleó16, Daniel Alcolea16, Giovanni B Frisoni17, Samantha Galluzzi18, Flavio Nobili19, Silvia Morbelli20, Alexander Drzezga21, Mira Didic22, Bart N van Berckel23, Eric Salmon24, Christine Bastin25, Solene Dauby26, Isabel Santana26, Inês Baldeiras27, Alexandre de Mendonça28, Dina Silva28, Anders Wallin29, Arto Nordlund29, Preciosa M Coloma30, Angelika Wientzek31, Myriam Alexander32, Gerald P Novak33, Mark Forrest Gordon34, Åsa K Wallin35, Harald Hampel36, Hilkka Soininen37, Sanna-Kaisa Herukka37, Philip Scheltens38, Frans R Verhey2, Pieter Jelle Visser39.   

Abstract

We investigated whether dementia risk factors were associated with prodromal Alzheimer's disease (AD) according to the International Working Group-2 and National Institute of Aging-Alzheimer's Association criteria, and with cognitive decline. A total of 1394 subjects with mild cognitive impairment from 14 different studies were classified according to these research criteria, based on cognitive performance and biomarkers. We compared the frequency of 10 risk factors between the subgroups, and used Cox-regression to examine the effect of risk factors on cognitive decline. Depression, obesity, and hypercholesterolemia occurred more often in individuals with low-AD-likelihood, compared with those with a high-AD-likelihood. Only alcohol use increased the risk of cognitive decline, regardless of AD pathology. These results suggest that traditional risk factors for AD are not associated with prodromal AD or with progression to dementia, among subjects with mild cognitive impairment. Future studies should validate these findings and determine whether risk factors might be of influence at an earlier stage (i.e., preclinical) of AD.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Biomarkers; IWG-2 criteria; NIA-AA criteria; Prognosis; Risk factors

Mesh:

Substances:

Year:  2017        PMID: 28482212     DOI: 10.1016/j.neurobiolaging.2017.03.034

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  10 in total

1.  Visceral adipose NLRP3 impairs cognition in obesity via IL-1R1 on CX3CR1+ cells.

Authors:  De-Huang Guo; Masaki Yamamoto; Caterina M Hernandez; Hesam Khodadadi; Babak Baban; Alexis M Stranahan
Journal:  J Clin Invest       Date:  2020-04-01       Impact factor: 14.808

2.  Neuropsychological Functioning in Older Adults with Obesity: Implications for Bariatric Surgery.

Authors:  Robert M Roth; Sivan Rotenberg; Jeremy Carmasin; Sarah Billmeier; John A Batsis
Journal:  J Nutr Gerontol Geriatr       Date:  2019-02-22

3.  Cognitive dysfunction and cerebral volumetric deficits in individuals with Alzheimer's disease, alcohol use disorder, and dual diagnosis.

Authors:  Simon Zhornitsky; Shefali Chaudhary; Thang M Le; Yu Chen; Sheng Zhang; Stéphane Potvin; Herta H Chao; Christopher H van Dyck; Chiang-Shan R Li
Journal:  Psychiatry Res Neuroimaging       Date:  2021-08-29       Impact factor: 2.376

4.  Vascular risk factors are associated with longitudinal changes in cerebrospinal fluid tau markers and cognition in preclinical Alzheimer's disease.

Authors:  Isabelle Bos; Stephanie J B Vos; Suzanne E Schindler; Jason Hassenstab; Chengjie Xiong; Elizabeth Grant; Frans Verhey; John C Morris; Pieter Jelle Visser; Anne M Fagan
Journal:  Alzheimers Dement       Date:  2019-08-01       Impact factor: 21.566

5.  Association between vascular comorbidity and progression of Alzheimer's disease: a two-year observational study in Norwegian memory clinics.

Authors:  Rannveig Sakshaug Eldholm; Karin Persson; Maria Lage Barca; Anne-Brita Knapskog; Lena Cavallin; Knut Engedal; Geir Selbaek; Eva Skovlund; Ingvild Saltvedt
Journal:  BMC Geriatr       Date:  2018-05-22       Impact factor: 3.921

Review 6.  Visual Features in Alzheimer's Disease: From Basic Mechanisms to Clinical Overview.

Authors:  María Alejandra Cerquera-Jaramillo; Mauricio O Nava-Mesa; Rodrigo E González-Reyes; Carlos Tellez-Conti; Alejandra de-la-Torre
Journal:  Neural Plast       Date:  2018-10-14       Impact factor: 3.599

7.  Amyloid-β, Tau, and Cognition in Cognitively Normal Older Individuals: Examining the Necessity to Adjust for Biomarker Status in Normative Data.

Authors:  Isabelle Bos; Stephanie J B Vos; Willemijn J Jansen; Rik Vandenberghe; Silvy Gabel; Ainara Estanga; Mirian Ecay-Torres; Jori Tomassen; Anouk den Braber; Alberto Lleó; Isabel Sala; Anders Wallin; Petronella Kettunen; José L Molinuevo; Lorena Rami; Gaël Chetelat; Vincent de la Sayette; Magda Tsolaki; Yvonne Freund-Levi; Peter Johannsen; Gerald P Novak; Inez Ramakers; Frans R Verhey; Pieter Jelle Visser
Journal:  Front Aging Neurosci       Date:  2018-06-25       Impact factor: 5.750

8.  The Sant Pau Initiative on Neurodegeneration (SPIN) cohort: A data set for biomarker discovery and validation in neurodegenerative disorders.

Authors:  Daniel Alcolea; Jordi Clarimón; María Carmona-Iragui; Ignacio Illán-Gala; Estrella Morenas-Rodríguez; Isabel Barroeta; Roser Ribosa-Nogué; Isabel Sala; M Belén Sánchez-Saudinós; Laura Videla; Andrea Subirana; Bessy Benejam; Sílvia Valldeneu; Susana Fernández; Teresa Estellés; Miren Altuna; Miguel Santos-Santos; Lídia García-Losada; Alexandre Bejanin; Jordi Pegueroles; Víctor Montal; Eduard Vilaplana; Olivia Belbin; Oriol Dols-Icardo; Sònia Sirisi; Marta Querol-Vilaseca; Laura Cervera-Carles; Laia Muñoz; Raúl Núñez; Soraya Torres; M Valle Camacho; Ignasi Carrió; Sandra Giménez; Constance Delaby; Ricard Rojas-Garcia; Janina Turon-Sans; Javier Pagonabarraga; Amanda Jiménez; Rafael Blesa; Juan Fortea; Alberto Lleó
Journal:  Alzheimers Dement (N Y)       Date:  2019-10-14

9.  Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening.

Authors:  Robert B Penfold; David S Carrell; David J Cronkite; Chester Pabiniak; Tammy Dodd; Ashley Mh Glass; Eric Johnson; Ella Thompson; H Michael Arrighi; Paul E Stang
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-12       Impact factor: 3.298

10.  Brain network analysis reveals that amyloidopathy affects comorbid cognitive dysfunction in older adults with depression.

Authors:  Suji Lee; Daegyeom Kim; HyunChul Youn; Won Seok William Hyung; Sangil Suh; Marcus Kaiser; Cheol E Han; Hyun-Ghang Jeong
Journal:  Sci Rep       Date:  2021-02-22       Impact factor: 4.379

  10 in total

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