Short leukocyte telomeres predict 25-year Alzheimer's disease incidence in non-APOE ε4-carriers.


Journal

Alzheimer's research & therapy
ISSN: 1758-9193
Titre abrégé: Alzheimers Res Ther
Pays: England
ID NLM: 101511643

Informations de publication

Date de publication:
15 07 2021
Historique:
received: 16 04 2021
accepted: 29 06 2021
entrez: 16 7 2021
pubmed: 17 7 2021
medline: 14 8 2021
Statut: epublish

Résumé

Leukocyte telomere length (LTL) has been shown to predict Alzheimer's disease (AD), albeit inconsistently. Failing to account for the competing risks between AD, other dementia types, and mortality, can be an explanation for the inconsistent findings in previous time-to-event analyses. Furthermore, previous studies indicate that the association between LTL and AD is non-linear and may differ depending on apolipoprotein E (APOE) ε4 allele carriage, the strongest genetic AD predictor. We analyzed whether baseline LTL in interaction with APOE ε4 predicts AD, by following 1306 initially non-demented subjects for 25 years. Gender- and age-residualized LTL (rLTL) was categorized into tertiles of short, medium, and long rLTLs. Two complementary time-to-event models that account for competing risks were used; the Fine-Gray model to estimate the association between the rLTL tertiles and the cumulative incidence of AD, and the cause-specific hazard model to assess whether the cause-specific risk of AD differed between the rLTL groups. Vascular dementia and death were considered competing risk events. Models were adjusted for baseline lifestyle-related risk factors, gender, age, and non-proportional hazards. After follow-up, 149 were diagnosed with AD, 96 were diagnosed with vascular dementia, 465 died without dementia, and 596 remained healthy. Baseline rLTL and other covariates were assessed on average 8 years before AD onset (range 1-24). APOE ε4-carriers had significantly increased incidence of AD, as well as increased cause-specific AD risk. A significant rLTL-APOE interaction indicated that short rLTL at baseline was significantly associated with an increased incidence of AD among non-APOE ε4-carriers (subdistribution hazard ratio = 3.24, CI 1.404-7.462, P = 0.005), as well as borderline associated with increased cause-specific risk of AD (cause-specific hazard ratio = 1.67, CI 0.947-2.964, P = 0.07). Among APOE ε4-carriers, short or long rLTLs were not significantly associated with AD incidence, nor with the cause-specific risk of AD. Our findings from two complementary competing risk time-to-event models indicate that short rLTL may be a valuable predictor of the AD incidence in non-APOE ε4-carriers, on average 8 years before AD onset. More generally, the findings highlight the importance of accounting for competing risks, as well as the APOE status of participants in AD biomarker research.

Sections du résumé

BACKGROUND
Leukocyte telomere length (LTL) has been shown to predict Alzheimer's disease (AD), albeit inconsistently. Failing to account for the competing risks between AD, other dementia types, and mortality, can be an explanation for the inconsistent findings in previous time-to-event analyses. Furthermore, previous studies indicate that the association between LTL and AD is non-linear and may differ depending on apolipoprotein E (APOE) ε4 allele carriage, the strongest genetic AD predictor.
METHODS
We analyzed whether baseline LTL in interaction with APOE ε4 predicts AD, by following 1306 initially non-demented subjects for 25 years. Gender- and age-residualized LTL (rLTL) was categorized into tertiles of short, medium, and long rLTLs. Two complementary time-to-event models that account for competing risks were used; the Fine-Gray model to estimate the association between the rLTL tertiles and the cumulative incidence of AD, and the cause-specific hazard model to assess whether the cause-specific risk of AD differed between the rLTL groups. Vascular dementia and death were considered competing risk events. Models were adjusted for baseline lifestyle-related risk factors, gender, age, and non-proportional hazards.
RESULTS
After follow-up, 149 were diagnosed with AD, 96 were diagnosed with vascular dementia, 465 died without dementia, and 596 remained healthy. Baseline rLTL and other covariates were assessed on average 8 years before AD onset (range 1-24). APOE ε4-carriers had significantly increased incidence of AD, as well as increased cause-specific AD risk. A significant rLTL-APOE interaction indicated that short rLTL at baseline was significantly associated with an increased incidence of AD among non-APOE ε4-carriers (subdistribution hazard ratio = 3.24, CI 1.404-7.462, P = 0.005), as well as borderline associated with increased cause-specific risk of AD (cause-specific hazard ratio = 1.67, CI 0.947-2.964, P = 0.07). Among APOE ε4-carriers, short or long rLTLs were not significantly associated with AD incidence, nor with the cause-specific risk of AD.
CONCLUSIONS
Our findings from two complementary competing risk time-to-event models indicate that short rLTL may be a valuable predictor of the AD incidence in non-APOE ε4-carriers, on average 8 years before AD onset. More generally, the findings highlight the importance of accounting for competing risks, as well as the APOE status of participants in AD biomarker research.

Identifiants

pubmed: 34266503
doi: 10.1186/s13195-021-00871-y
pii: 10.1186/s13195-021-00871-y
pmc: PMC8283833
doi:

Substances chimiques

Apolipoprotein E4 0
Apolipoproteins E 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

130

Informations de copyright

© 2021. The Author(s).

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Auteurs

Fernanda Schäfer Hackenhaar (FS)

Department of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden. fernanda.schafer@umu.se.
Umeå Center for Functional Brain Imaging, Umeå University, SE-90 187, Umeå, Sweden. fernanda.schafer@umu.se.

Maria Josefsson (M)

Umeå Center for Functional Brain Imaging, Umeå University, SE-90 187, Umeå, Sweden.
Department of Statistics, USBE, Umeå University, SE-901 87, Umeå, Sweden.
Center for Ageing and Demographic Research, Umeå University, SE-901 87, Umeå, Sweden.

Annelie Nordin Adolfsson (AN)

Department of Clinical Sciences, Umeå University, SE-901 85, Umeå, Sweden.

Mattias Landfors (M)

Department of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.

Karolina Kauppi (K)

Department of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden.

Magnus Hultdin (M)

Department of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.

Rolf Adolfsson (R)

Department of Clinical Sciences, Umeå University, SE-901 85, Umeå, Sweden.

Sofie Degerman (S)

Department of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.
Department of Clinical Microbiology, Umeå University, SE-901 85, Umeå, Sweden.

Sara Pudas (S)

Department of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden.
Umeå Center for Functional Brain Imaging, Umeå University, SE-90 187, Umeå, Sweden.

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