Impact of diabetes on the progression of Alzheimer’s disease via trajectories of amyloid–tau–neurodegeneration (ATN) biomarkers - 11/12/24

Doi : 10.1016/j.jnha.2024.100444 
Eun Woo Kim a, b, Keun You Kim c, d, , Eosu Kim a, d, e, f,

for the Alzheimer’s Disease Neuroimaging Initiative1

  Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: ADNI_Acknowledgement_List.pdf.

a Graduate School of Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea 
b Department of Nursing, Seoyeong University, Gwangju 61268, Republic of Korea 
c Department of Psychiatry, Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Republic of Korea 
d Department of Psychiatry, Laboratory for Alzheimer’s Molecular Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea 
e Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea 
f Metabolism-Dementia Research Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea 

Corresponding authors.

Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.

Connectez-vous pour en bénéficier!

Abstract

Background

Alzheimer’s disease (AD) is characterized by the accumulation of abnormal proteins, such as β-amyloid and tau, in the brain, which precedes cognitive impairment. Although diabetes mellitus (DM) is a well-established risk factor for AD, few studies have investigated how the presence of DM affects the sequential pathogenesis of AD, specifically within the amyloid-tau-neurodegeneration (ATN) and cognition framework.

Objectives

This study aims to investigate the trajectories of ATN biomarkers in relation to the presence of DM in the preclinical and prodromal stages of AD.

Design

Participants with normal cognition (CN) or mild cognitive impairment (MCI) at baseline were included. Subjects were followed for 12–192 months, with neuroimaging and cognitive assessments conducted at every 12 or 24 months.

Setting

This study utilized data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database.

Participants

A total of 603 participants aged 55–90 years were included, comprising 284 CN (25 with DM, 259 without DM) and 319 MCI (39 with DM, 280 without DM) individuals.

Measurements

ATN biomarkers were identified using florbetapir positron emission tomography (PET), flortaucipir PET, and magnetic resonance imaging (MRI), respectively. Cognition was assessed using the Clinical Dementia Rating-Sum of Boxes (CDR-SB) and Mini-Mental State Examination (MMSE). Moderation analysis was conducted to investigate the effect of DM on the association between ATN biomarkers of AD.

Results

Elevated amyloid standardized uptake value ratios (SUVRs) were associated with increased tau levels in the hippocampus, and this association was significantly enhanced by the presence of DM in MCI participants (p = 0.021). DM also strengthened the association between increased tau SUVR levels and neurodegeneration (indicated by decreased entorhinal cortical volumes; p = 0.005) in those with MCI. Furthermore, DM enhanced the association of decreased entorhinal (p = 0.012) and middle temporal cortex (p = 0.031) volumes with increased (worsened) CDR-SB scores in MCI participants. However, DM did not predict significant longitudinal changes in ATN pathology or cognitive decline in CN participants.

Conclusions

Our study suggests that DM may increase the risk of AD by accelerating each step of the A-T-N cascade in the prodromal stage of AD, underscoring the importance of DM management in preventing the MCI conversion to AD.

Le texte complet de cet article est disponible en PDF.

Keywords : Alzheimer’s disease, Diabetes mellitus, Mild cognitive impairment, ATN framework

Abbreviations : AD, ADNI, ATN, CDR-SB, CN, DM, GSK-3β, MCI, MMSE, MRI, PET, ROI, SUVR


Plan


© 2024  The Authors. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 29 - N° 2

Article 100444- février 2025 Retour au numéro
Article précédent Article précédent
  • Early-life famine exposure, genetic susceptibility and risk of MAFLD in adulthood
  • Yuying Wang, Kun Zhang, Bin Wang, Bowei Yu, Ziteng Zhang, Yuetian Yu, Yuefeng Yu, Ying Sun, Yi Chen, Wen Zhang, Yan Cai, Qian Xiang, Fangzhen Xia, Ningjian Wang, Yingli Lu
| Article suivant Article suivant
  • Longitudinal association between ADL disability and depression in middle-aged and elderly: national cohort study
  • Siru Wang, Minglan Yu, Wenyi Huang, Tingting Wang, Kezhi Liu, Bo Xiang

Bienvenue sur EM-consulte, la référence des professionnels de santé.

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.