An Early Change of Neurofibrillary Tangle Formation

Author(s):  
Hidehiro Mizusawa ◽  
Shu-Hui C. Yen ◽  
Asao Hirano
2020 ◽  
Vol 67 (4) ◽  
pp. 449-461 ◽  
Author(s):  
Wolfgang Lutz ◽  
Jessica N. Prinz ◽  
Brian Schwartz ◽  
Jane Paulick ◽  
Desiree Schoenherr ◽  
...  

2020 ◽  
Vol 29 (5) ◽  
pp. 817-833 ◽  
Author(s):  
Masataka Kikuchi ◽  
Michiko Sekiya ◽  
Norikazu Hara ◽  
Akinori Miyashita ◽  
Ryozo Kuwano ◽  
...  

Abstract The molecular biological mechanisms of Alzheimer’s disease (AD) involve disease-associated crosstalk through many genes and include a loss of normal as well as a gain of abnormal interactions among genes. A protein domain network (PDN) is a collection of physical bindings that occur between protein domains, and the states of the PDNs in patients with AD are likely to be perturbed compared to those in normal healthy individuals. To identify PDN changes that cause neurodegeneration, we analysed the PDNs that occur among genes co-expressed in each of three brain regions at each stage of AD. Our analysis revealed that the PDNs collapsed with the progression of AD stage and identified five hub genes, including Rac1, as key players in PDN collapse. Using publicly available as well as our own gene expression data, we confirmed that the mRNA expression level of the RAC1 gene was downregulated in the entorhinal cortex (EC) of AD brains. To test the causality of these changes in neurodegeneration, we utilized Drosophila as a genetic model and found that modest knockdown of Rac1 in neurons was sufficient to cause age-dependent behavioural deficits and neurodegeneration. Finally, we identified a microRNA, hsa-miR-101-3p, as a potential regulator of RAC1 in AD brains. As the Braak neurofibrillary tangle (NFT) stage progressed, the expression levels of hsa-miR-101-3p were increased specifically in the EC. Furthermore, overexpression of hsa-miR-101-3p in the human neuronal cell line SH-SY5Y caused RAC1 downregulation. These results highlight the utility of our integrated network approach for identifying causal changes leading to neurodegeneration in AD.


Hepatology ◽  
2003 ◽  
Vol 38 (6) ◽  
pp. 1363-1369 ◽  
Author(s):  
Philippe Mathurin ◽  
Marcelle Abdelnour ◽  
Marie-Jose Ramond ◽  
Nicolas Carbonell ◽  
Laetitia Fartoux ◽  
...  

2017 ◽  
Vol 33 (9) ◽  
pp. 716-724 ◽  
Author(s):  
Chad Cook ◽  
Shannon Petersen ◽  
Megan Donaldson ◽  
Mark Wilhelm ◽  
Ken Learman

2016 ◽  
Vol 66 ◽  
pp. 95-103 ◽  
Author(s):  
Sonya C. Tate ◽  
Valerie Andre ◽  
Nathan Enas ◽  
Benjamin Ribba ◽  
Ivelina Gueorguieva

Author(s):  
Juan C. Arias ◽  
Mark Edwards ◽  
Francesca Vitali ◽  
Thomas G. Beach ◽  
Geidy E. Serrano ◽  
...  

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012065
Author(s):  
Yuan Ma ◽  
Deborah Blacker ◽  
Anand Viswanathan ◽  
Susanne J. van Veluw ◽  
Daniel Bos ◽  
...  

ObjectiveLarge systolic blood pressure (SBP) variability has been proposed as a novel risk factor for dementia above and beyond SBP levels, but the underlying neuropathology is largely unknown. We investigated the relationship among visit-to-visit SBP variability, cognitive deterioration and underlying neuropathological changes.MethodsWe used longitudinal data (between 2005 and 2019) from the National Alzheimer’s Coordinating Center. 13,284 dementia-free participants aged≥50 years were followed over a median of 5.0 (interquartile range: 3.1-7.6) years. Neuropathology data were available in 1,400 autopsied participants. Visit-to-visit SBP variability was quantified from repeated annual SBP measurements. Cognitive deterioration was defined as conversion from normal cognition to mild cognitive impairment (MCI) or dementia, or from MCI to dementia.ResultsLarger visit-to-visit SBP variability was associated with cognitive deterioration (adjusted odds ratio comparing extreme quintiles: 2.64; 95%CI:2.29-3.04, P <0.001). It was also associated with a higher burden of vascular pathology (including microinfarcts, white matter lesion, atherosclerosis of the circle of Willis and arteriolosclerosis) and with neurofibrillary tangle pathology assessed by Braak staging (All P < 0.05). The association with cognitive deterioration and vascular pathology appeared stronger among those with normal cognition versus MCI at baseline. These findings were observed after adjusting for age, sex, mean SBP and other confounding variables. Similar results were observed for diastolic BP variability.ConclusionLarger visit-to-visit SBP variability was associated with cognitive deterioration. It was also associated with cerebrovascular pathology and neurofibrillary tangles. These results suggest the intertwined role of vascular and Alzheimer's disease pathology in the etiology of dementia.


2021 ◽  
pp. 1-10
Author(s):  
Douglas Barthold ◽  
Laura E. Gibbons ◽  
Zachary A. Marcum ◽  
Shelly L. Gray ◽  
C. Dirk Keene ◽  
...  

Background: Diabetes is a risk factor for Alzheimer’s disease and related dementias (ADRD). Epidemiologic evidence shows an association between diabetes medications and ADRD risk; cell and mouse models show diabetes medication association with AD-related neuropathologic change (ADNC). Objective: This hypothesis-generating analysis aimed to describe autopsy-measured ADNC for individuals who used diabetes medications. Methods: Descriptive analysis of ADNC for Adult Changes in Thought (ACT) Study autopsy cohort who used diabetes medications, including sulfonylureas, insulin, and biguanides; total N = 118. ADNC included amyloid plaque distribution (Thal phasing), neurofibrillary tangle (NFT) distribution (Braak stage), and cortical neuritic plaque density (CERAD score). We also examined quantitative measures of ADNC using the means of standardized Histelide measures of cortical PHF-tau and Aβ 1–42. Adjusted analyses control for age at death, sex, education, APOE genotype, and diabetes complication severity index. Results: Adjusted analyses showed no significant association between any drug class and traditional neuropathologic measures compared to nonusers of that class. In adjusted Histelide analyses, any insulin use was associated with lower mean levels of Aβ 1–42 (–0.57 (CI: –1.12, –0.02)) compared to nonusers. Five years of sulfonylureas and of biguanides use was associated with lower levels of Aβ 1–42 compared to nonusers (–0.15 (CI: –0.28, –0.02), –0.31 (CI: –0.54, –0.07), respectively). Conclusion: Some evidence exists that diabetes medications are associated with lower levels of Aβ 1–42, but not traditional measures of neuropathology. Future studies are needed in larger samples to build understanding of the mechanisms between diabetes, its medications, and ADRD, and to potentially repurpose existing medications for prevention or delay of ADRD.


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