Literature DB >> 31356213

Classification of Clinically Diagnosed Alzheimer's Disease Associated with Diabetes Based on Amyloid and Tau PET Results.

Naoto Takenoshita1, Soichiro Shimizu1, Hidekazu Kanetaka1, Hirofumi Sakurai1, Ryo Suzuki2, Takashi Miwa2, Masato Odawara2, Kenji Ishii3, Hitoshi Shimada4, Makoto Higuchi4, Tetsuya Suhara4, Haruo Hanyu1.   

Abstract

BACKGROUND/
OBJECTIVE: Although type 2 diabetes mellitus (DM) is a risk factor for the development of dementia, the underlying brain pathologies and mechanisms vary among patients. In this study, we classified patients with clinically diagnosed Alzheimer's disease (AD) associated with DM into subgroups based on their amyloid and tau accumulation patterns on positron emission tomography (PET), and analyzed the differences in clinical features and brain imaging findings between the subgroups.
METHODS: Sixty-four patients with probable or possible AD associated with DM were classified using PiB (detects amyloid, A) and PBB3 (detects tau, T) PET studies. Patients were classified into the A+/T+ group (n = 35, AD pathology), the A- /T+ group (n = 19, tauopathy), and the A- /T- group (n = 10, non-amyloid/non-tau neuronal damage).
RESULTS: Compared with the A+/T+ group, the A- /T+ group showed less-well controlled glycemia, longer duration of diabetes, more glucose variability, higher frequency of insulin therapy and biochemical hypoglycemia, and greater impairment of frontal lobe function, slower progression of cognitive decline, fewer APOE4 carriers, less severe medial temporal lobe atrophy, and lower frequency of posterior cerebral hypoperfusion. This subgroup showed different clinical and radiological features from AD.
CONCLUSION: Among patients with clinically diagnosed AD with DM, there are subgroups with neuronal damage independent of AD pathology. A subgroup of dementia patients suspected of having tauopathy is strongly associated with DM-related metabolic abnormalities. This study highlights the identification of a novel dementia subgroup (diabetes-related dementia), which is important for considering appropriate therapies and care in clinical practice.

Entities:  

Keywords:  Alzheimer’s disease; amyloid; diabetes mellitus; diabetes-related dementia; positron emission tomography; tau

Year:  2019        PMID: 31356213     DOI: 10.3233/JAD-190620

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

1.  Racial and Ethnic Differences in Amyloid PET Positivity in Individuals With Mild Cognitive Impairment or Dementia: A Secondary Analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) Cohort Study.

Authors:  Consuelo H Wilkins; Charles C Windon; Peggye Dilworth-Anderson; Justin Romanoff; Constantine Gatsonis; Lucy Hanna; Charles Apgar; Ilana F Gareen; Carl V Hill; Bruce E Hillner; Andrew March; Barry A Siegel; Rachel A Whitmer; Maria C Carrillo; Gil D Rabinovici
Journal:  JAMA Neurol       Date:  2022-10-03       Impact factor: 29.907

2.  Induction of Brain Insulin Resistance and Alzheimer's Molecular Changes by Western Diet.

Authors:  Anna Mietelska-Porowska; Justyna Domańska; Andrew Want; Angelika Więckowska-Gacek; Dominik Chutorański; Maciej Koperski; Urszula Wojda
Journal:  Int J Mol Sci       Date:  2022-04-25       Impact factor: 6.208

Review 3.  Diagnostic, Prognostic, and Mechanistic Biomarkers of Diabetes Mellitus-Associated Cognitive Decline.

Authors:  Hanan Ehtewish; Abdelilah Arredouani; Omar El-Agnaf
Journal:  Int J Mol Sci       Date:  2022-05-30       Impact factor: 6.208

4.  Distinct Brain Functional Impairment Patterns Between Suspected Non-Alzheimer Disease Pathophysiology and Alzheimer's Disease: A Study Combining Static and Dynamic Functional Magnetic Resonance Imaging.

Authors:  Zheyu Li; Kaicheng Li; Xiao Luo; Qingze Zeng; Shuai Zhao; Baorong Zhang; Minming Zhang; Yanxing Chen
Journal:  Front Aging Neurosci       Date:  2020-11-23       Impact factor: 5.750

5.  Artificial Intelligence-based MRI Images for Brain in Prediction of Alzheimer's Disease.

Authors:  Xiaowang Bi; Wei Liu; Huaiqin Liu; Qun Shang
Journal:  J Healthc Eng       Date:  2021-10-19       Impact factor: 2.682

6.  Is diabetes associated with increased pathological burden in Alzheimer's disease?

Authors:  Kaviyon Sadrolashrafi; Suzanne Craft; Boris Decourt; Abdu Adem; Jeffrey R Wilson; Justin Miller; Marwan N Sabbagh
Journal:  Alzheimers Dement (Amst)       Date:  2021-11-10

Review 7.  Brain Metabolism Alterations in Type 2 Diabetes: What Did We Learn From Diet-Induced Diabetes Models?

Authors:  Alba M Garcia-Serrano; João M N Duarte
Journal:  Front Neurosci       Date:  2020-03-20       Impact factor: 4.677

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.