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Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study

BACKGROUND: Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a struc...

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Autores principales: Miebach, Lisa, Wolfsgruber, Steffen, Polcher, Alexandra, Peters, Oliver, Menne, Felix, Luther, Katja, Incesoy, Enise, Priller, Josef, Spruth, Eike, Altenstein, Slawek, Buerger, Katharina, Catak, Cihan, Janowitz, Daniel, Perneczky, Robert, Utecht, Julia, Laske, Christoph, Buchmann, Martina, Schneider, Anja, Fliessbach, Klaus, Kalbhen, Pascal, Heneka, Michael T., Brosseron, Frederic, Spottke, Annika, Roy, Nina, Teipel, Stefan J., Kilimann, Ingo, Wiltfang, Jens, Bartels, Claudia, Düzel, Emrah, Dobisch, Laura, Metzger, Coraline, Meiberth, Dix, Ramirez, Alfredo, Jessen, Frank, Wagner, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668160/
https://www.ncbi.nlm.nih.gov/pubmed/31366409
http://dx.doi.org/10.1186/s13195-019-0515-y
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author Miebach, Lisa
Wolfsgruber, Steffen
Polcher, Alexandra
Peters, Oliver
Menne, Felix
Luther, Katja
Incesoy, Enise
Priller, Josef
Spruth, Eike
Altenstein, Slawek
Buerger, Katharina
Catak, Cihan
Janowitz, Daniel
Perneczky, Robert
Utecht, Julia
Laske, Christoph
Buchmann, Martina
Schneider, Anja
Fliessbach, Klaus
Kalbhen, Pascal
Heneka, Michael T.
Brosseron, Frederic
Spottke, Annika
Roy, Nina
Teipel, Stefan J.
Kilimann, Ingo
Wiltfang, Jens
Bartels, Claudia
Düzel, Emrah
Dobisch, Laura
Metzger, Coraline
Meiberth, Dix
Ramirez, Alfredo
Jessen, Frank
Wagner, Michael
author_facet Miebach, Lisa
Wolfsgruber, Steffen
Polcher, Alexandra
Peters, Oliver
Menne, Felix
Luther, Katja
Incesoy, Enise
Priller, Josef
Spruth, Eike
Altenstein, Slawek
Buerger, Katharina
Catak, Cihan
Janowitz, Daniel
Perneczky, Robert
Utecht, Julia
Laske, Christoph
Buchmann, Martina
Schneider, Anja
Fliessbach, Klaus
Kalbhen, Pascal
Heneka, Michael T.
Brosseron, Frederic
Spottke, Annika
Roy, Nina
Teipel, Stefan J.
Kilimann, Ingo
Wiltfang, Jens
Bartels, Claudia
Düzel, Emrah
Dobisch, Laura
Metzger, Coraline
Meiberth, Dix
Ramirez, Alfredo
Jessen, Frank
Wagner, Michael
author_sort Miebach, Lisa
collection PubMed
description BACKGROUND: Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers. METHODS: We analyzed data of 205 cognitively normal participants of the DELCODE study (mean age = 68.9 years; 52% female) with available CSF AD biomarkers (Aß-42, p-Tau181, Aß-42/Tau ratio, total Tau). For each of five cognitive domains (including memory, language, attention, planning, others), a study physician asked participants about the following SCD-plus features: the presence of subjective decline, associated worries, onset of SCD, feeling of worse performance than others of the same age group, and informant confirmation. We compared AD biomarkers of subjects endorsing each of these questions with those who did not, controlling for age. SCD was also quantified by two summary scores: the number of fulfilled SCD-plus features, and the number of domains with experienced decline. Covariate-adjusted linear regression analyses were used to test whether these SCD scores predicted abnormality in AD biomarkers. RESULTS: Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years, confirmation of cognitive decline by an informant, and decline-related worries. Furthermore, both quantitative SCD scores were associated with lower Aß42 and lower Aß42/Tau ratio, but not with total Tau or p-Tau181. CONCLUSIONS: Findings support the usefulness of a criterion-based interview approach to assess and quantify SCD in the context of AD and validate the current SCD-plus features as predictors of AD pathology. While some features seem to be more closely associated with AD biomarkers than others, aggregated scores over several SCD-plus features or SCD domains may be the best predictors of AD pathology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-019-0515-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-66681602019-08-05 Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study Miebach, Lisa Wolfsgruber, Steffen Polcher, Alexandra Peters, Oliver Menne, Felix Luther, Katja Incesoy, Enise Priller, Josef Spruth, Eike Altenstein, Slawek Buerger, Katharina Catak, Cihan Janowitz, Daniel Perneczky, Robert Utecht, Julia Laske, Christoph Buchmann, Martina Schneider, Anja Fliessbach, Klaus Kalbhen, Pascal Heneka, Michael T. Brosseron, Frederic Spottke, Annika Roy, Nina Teipel, Stefan J. Kilimann, Ingo Wiltfang, Jens Bartels, Claudia Düzel, Emrah Dobisch, Laura Metzger, Coraline Meiberth, Dix Ramirez, Alfredo Jessen, Frank Wagner, Michael Alzheimers Res Ther Research BACKGROUND: Subjective cognitive decline (SCD) has been proposed as a pre-MCI at-risk condition of Alzheimer’s disease (AD). Current research is focusing on a refined assessment of specific SCD features associated with increased risk for AD, as proposed in the SCD-plus criteria. We developed a structured interview (SCD-I) for the assessment of these features and tested their relationship with AD biomarkers. METHODS: We analyzed data of 205 cognitively normal participants of the DELCODE study (mean age = 68.9 years; 52% female) with available CSF AD biomarkers (Aß-42, p-Tau181, Aß-42/Tau ratio, total Tau). For each of five cognitive domains (including memory, language, attention, planning, others), a study physician asked participants about the following SCD-plus features: the presence of subjective decline, associated worries, onset of SCD, feeling of worse performance than others of the same age group, and informant confirmation. We compared AD biomarkers of subjects endorsing each of these questions with those who did not, controlling for age. SCD was also quantified by two summary scores: the number of fulfilled SCD-plus features, and the number of domains with experienced decline. Covariate-adjusted linear regression analyses were used to test whether these SCD scores predicted abnormality in AD biomarkers. RESULTS: Lower Aß-42 levels were associated with a reported decline in memory and language abilities, and with the following SCD-plus features: onset of subjective decline within 5 years, confirmation of cognitive decline by an informant, and decline-related worries. Furthermore, both quantitative SCD scores were associated with lower Aß42 and lower Aß42/Tau ratio, but not with total Tau or p-Tau181. CONCLUSIONS: Findings support the usefulness of a criterion-based interview approach to assess and quantify SCD in the context of AD and validate the current SCD-plus features as predictors of AD pathology. While some features seem to be more closely associated with AD biomarkers than others, aggregated scores over several SCD-plus features or SCD domains may be the best predictors of AD pathology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13195-019-0515-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-31 /pmc/articles/PMC6668160/ /pubmed/31366409 http://dx.doi.org/10.1186/s13195-019-0515-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Miebach, Lisa
Wolfsgruber, Steffen
Polcher, Alexandra
Peters, Oliver
Menne, Felix
Luther, Katja
Incesoy, Enise
Priller, Josef
Spruth, Eike
Altenstein, Slawek
Buerger, Katharina
Catak, Cihan
Janowitz, Daniel
Perneczky, Robert
Utecht, Julia
Laske, Christoph
Buchmann, Martina
Schneider, Anja
Fliessbach, Klaus
Kalbhen, Pascal
Heneka, Michael T.
Brosseron, Frederic
Spottke, Annika
Roy, Nina
Teipel, Stefan J.
Kilimann, Ingo
Wiltfang, Jens
Bartels, Claudia
Düzel, Emrah
Dobisch, Laura
Metzger, Coraline
Meiberth, Dix
Ramirez, Alfredo
Jessen, Frank
Wagner, Michael
Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title_full Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title_fullStr Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title_full_unstemmed Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title_short Which features of subjective cognitive decline are related to amyloid pathology? Findings from the DELCODE study
title_sort which features of subjective cognitive decline are related to amyloid pathology? findings from the delcode study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668160/
https://www.ncbi.nlm.nih.gov/pubmed/31366409
http://dx.doi.org/10.1186/s13195-019-0515-y
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