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Detecting At-Risk Alzheimer’s Disease Cases

While APOE ɛ4 is the major genetic risk factor for Alzheimer’s disease (AD), amyloid dysmetabolism is an initial or early event predicting clinical disease and is an important focus for secondary intervention trials. To improve identification of cases with increased AD risk, we evaluated recruitment...

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Autores principales: Fladby, Tormod, Pålhaugen, Lene, Selnes, Per, Waterloo, Knut, Bråthen, Geir, Hessen, Erik, Almdahl, Ina Selseth, Arntzen, Kjell-Arne, Auning, Eirik, Eliassen, Carl Fredrik, Espenes, Ragna, Grambaite, Ramune, Grøntvedt, Gøril Rolfseng, Johansen, Krisztina Kunszt, Johnsen, Stein Harald, Kalheim, Lisa Flem, Kirsebom, Bjørn-Eivind, Müller, Kai Ivar, Nakling, Arne Exner, Rongve, Arvid, Sando, Sigrid Botne, Siafarikas, Nikias, Stav, Ane Løvli, Tecelao, Sandra, Timon, Santiago, Bekkelund, Svein Ivar, Aarsland, Dag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611830/
https://www.ncbi.nlm.nih.gov/pubmed/28826181
http://dx.doi.org/10.3233/JAD-170231
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author Fladby, Tormod
Pålhaugen, Lene
Selnes, Per
Waterloo, Knut
Bråthen, Geir
Hessen, Erik
Almdahl, Ina Selseth
Arntzen, Kjell-Arne
Auning, Eirik
Eliassen, Carl Fredrik
Espenes, Ragna
Grambaite, Ramune
Grøntvedt, Gøril Rolfseng
Johansen, Krisztina Kunszt
Johnsen, Stein Harald
Kalheim, Lisa Flem
Kirsebom, Bjørn-Eivind
Müller, Kai Ivar
Nakling, Arne Exner
Rongve, Arvid
Sando, Sigrid Botne
Siafarikas, Nikias
Stav, Ane Løvli
Tecelao, Sandra
Timon, Santiago
Bekkelund, Svein Ivar
Aarsland, Dag
author_facet Fladby, Tormod
Pålhaugen, Lene
Selnes, Per
Waterloo, Knut
Bråthen, Geir
Hessen, Erik
Almdahl, Ina Selseth
Arntzen, Kjell-Arne
Auning, Eirik
Eliassen, Carl Fredrik
Espenes, Ragna
Grambaite, Ramune
Grøntvedt, Gøril Rolfseng
Johansen, Krisztina Kunszt
Johnsen, Stein Harald
Kalheim, Lisa Flem
Kirsebom, Bjørn-Eivind
Müller, Kai Ivar
Nakling, Arne Exner
Rongve, Arvid
Sando, Sigrid Botne
Siafarikas, Nikias
Stav, Ane Løvli
Tecelao, Sandra
Timon, Santiago
Bekkelund, Svein Ivar
Aarsland, Dag
author_sort Fladby, Tormod
collection PubMed
description While APOE ɛ4 is the major genetic risk factor for Alzheimer’s disease (AD), amyloid dysmetabolism is an initial or early event predicting clinical disease and is an important focus for secondary intervention trials. To improve identification of cases with increased AD risk, we evaluated recruitment procedures using pathological CSF concentrations of Aβ(42) (pAβ) and APOE ɛ4 as risk markers in a multi-center study in Norway. In total, 490 subjects aged 40–80 y were included after response to advertisements and media coverage or memory clinics referrals. Controls (n = 164) were classified as normal controls without first-degree relatives with dementia (NC), normal controls with first-degree relatives with dementia (NCFD), or controls scoring below norms on cognitive screening. Patients (n = 301) were classified as subjective cognitive decline or mild cognitive impairment. Subjects underwent a clinical and cognitive examination and MRI according to standardized protocols. Core biomarkers in CSF from 411 and APOE genotype from 445 subjects were obtained. Cases (both self-referrals (n = 180) and memory clinics referrals (n = 87)) had increased fractions of pAβ and APOE ɛ4 frequency compared to NC. Also, NCFD had higher APOE ɛ4 frequencies without increased fraction of pAβ compared to NC, and cases recruited from memory clinics had higher fractions of pAβ and APOE ɛ4 frequency than self-referred. This study shows that memory clinic referrals are pAβ enriched, whereas self-referred and NCFD cases more frequently are pAβ negative but at risk (APOE ɛ4 positive), suitable for primary intervention.
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spelling pubmed-56118302017-10-02 Detecting At-Risk Alzheimer’s Disease Cases Fladby, Tormod Pålhaugen, Lene Selnes, Per Waterloo, Knut Bråthen, Geir Hessen, Erik Almdahl, Ina Selseth Arntzen, Kjell-Arne Auning, Eirik Eliassen, Carl Fredrik Espenes, Ragna Grambaite, Ramune Grøntvedt, Gøril Rolfseng Johansen, Krisztina Kunszt Johnsen, Stein Harald Kalheim, Lisa Flem Kirsebom, Bjørn-Eivind Müller, Kai Ivar Nakling, Arne Exner Rongve, Arvid Sando, Sigrid Botne Siafarikas, Nikias Stav, Ane Løvli Tecelao, Sandra Timon, Santiago Bekkelund, Svein Ivar Aarsland, Dag J Alzheimers Dis Research Article While APOE ɛ4 is the major genetic risk factor for Alzheimer’s disease (AD), amyloid dysmetabolism is an initial or early event predicting clinical disease and is an important focus for secondary intervention trials. To improve identification of cases with increased AD risk, we evaluated recruitment procedures using pathological CSF concentrations of Aβ(42) (pAβ) and APOE ɛ4 as risk markers in a multi-center study in Norway. In total, 490 subjects aged 40–80 y were included after response to advertisements and media coverage or memory clinics referrals. Controls (n = 164) were classified as normal controls without first-degree relatives with dementia (NC), normal controls with first-degree relatives with dementia (NCFD), or controls scoring below norms on cognitive screening. Patients (n = 301) were classified as subjective cognitive decline or mild cognitive impairment. Subjects underwent a clinical and cognitive examination and MRI according to standardized protocols. Core biomarkers in CSF from 411 and APOE genotype from 445 subjects were obtained. Cases (both self-referrals (n = 180) and memory clinics referrals (n = 87)) had increased fractions of pAβ and APOE ɛ4 frequency compared to NC. Also, NCFD had higher APOE ɛ4 frequencies without increased fraction of pAβ compared to NC, and cases recruited from memory clinics had higher fractions of pAβ and APOE ɛ4 frequency than self-referred. This study shows that memory clinic referrals are pAβ enriched, whereas self-referred and NCFD cases more frequently are pAβ negative but at risk (APOE ɛ4 positive), suitable for primary intervention. IOS Press 2017-08-29 /pmc/articles/PMC5611830/ /pubmed/28826181 http://dx.doi.org/10.3233/JAD-170231 Text en © 2017 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fladby, Tormod
Pålhaugen, Lene
Selnes, Per
Waterloo, Knut
Bråthen, Geir
Hessen, Erik
Almdahl, Ina Selseth
Arntzen, Kjell-Arne
Auning, Eirik
Eliassen, Carl Fredrik
Espenes, Ragna
Grambaite, Ramune
Grøntvedt, Gøril Rolfseng
Johansen, Krisztina Kunszt
Johnsen, Stein Harald
Kalheim, Lisa Flem
Kirsebom, Bjørn-Eivind
Müller, Kai Ivar
Nakling, Arne Exner
Rongve, Arvid
Sando, Sigrid Botne
Siafarikas, Nikias
Stav, Ane Løvli
Tecelao, Sandra
Timon, Santiago
Bekkelund, Svein Ivar
Aarsland, Dag
Detecting At-Risk Alzheimer’s Disease Cases
title Detecting At-Risk Alzheimer’s Disease Cases
title_full Detecting At-Risk Alzheimer’s Disease Cases
title_fullStr Detecting At-Risk Alzheimer’s Disease Cases
title_full_unstemmed Detecting At-Risk Alzheimer’s Disease Cases
title_short Detecting At-Risk Alzheimer’s Disease Cases
title_sort detecting at-risk alzheimer’s disease cases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611830/
https://www.ncbi.nlm.nih.gov/pubmed/28826181
http://dx.doi.org/10.3233/JAD-170231
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