Browsing by Subject "Amyloid-beta"

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    Association of Amyloid-β Pathology with Decision Making and Scam Susceptibility
    (IOS Press, 2021) Kapasi, Alifiya; Yu, Lei; Stewart, Christopher; Schneider, Julie A.; Bennett, David A.; Boyle, Patricia A.; Neurology, School of Medicine
    Background: Recent findings suggest that poor decision making and increased scam susceptibility are harbingers of Alzheimer's disease (AD) dementia and may be among the earliest behavioral manifestations of pathologic cognitive aging. However, the degree to which poor decision making and scam susceptibility reflect accumulating Alzheimer's disease (AD) pathology remains unclear. Objective: To investigate the associations of AD pathology with decision making and scam susceptibility in older adults without dementia. Methods: Data came from 198 deceased participants without clinical dementia (mean age at death = 90 years; 69%women) from two ongoing studies of aging. All underwent annual clinical evaluations, completed assessments of healthcare and financial decision making and scam susceptibility, and brain donation. Neuropathologic evaluations quantified pathologic hallmarks of AD, amyloid-β and tau-tangles, Lewy body pathology, and TDP-43 proteinopathy. Results: In linear regression models adjusted for demographics, amyloid-β pathology was associated with lower decision making (estimate = -0.35; SE = 0.16, p = 0.03), particularly healthcare decision making (estimate = -0.20; SE = 0.09, p = 0.03), as well as greater scam susceptibility (estimate = 0.12; SE = 0.04, p = 0.003); tau-tangle pathology was not related. Further, TDP-43 pathology was associated with greater scam susceptibility (estimate = 0.10; SE = 0.04; p = 0.02). Conclusion: Accumulating AD pathology, particularly amyloid-β, is associated with poor decision making and increased scam susceptibility among older persons without overt cognitive impairment. These findings provide compelling evidence that decision making and scam susceptibility are sensitive to the earliest pathological changes of AD.
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    Cryo-EM structures of amyloid-β filaments with the Arctic mutation (E22G) from human and mouse brains
    (Springer, 2023) Yang, Yang; Zhang, Wenjuan; Murzin, Alexey G.; Schweighauser, Manuel; Huang, Melissa; Lövestam, Sofia; Peak‑Chew, Sew Y.; Saito, Takashi; Saido, Takaomi C.; Macdonald, Jennifer; Lavenir, Isabelle; Ghetti, Bernardino; Graff, Caroline; Kumar, Amit; Nordberg, Agneta; Goedert, Michel; Scheres, Sjors H. W.; Pathology and Laboratory Medicine, School of Medicine
    The Arctic mutation, encoding E693G in the amyloid precursor protein (APP) gene [E22G in amyloid-β (Aβ)], causes dominantly inherited Alzheimer’s disease. Here, we report the high-resolution cryo-EM structures of Aβ filaments from the frontal cortex of a previously described case (AβPParc1) with the Arctic mutation. Most filaments consist of two pairs of non-identical protofilaments that comprise residues V12–V40 (human Arctic fold A) and E11–G37 (human Arctic fold B). They have a substructure (residues F20–G37) in common with the folds of type I and type II Aβ42. When compared to the structures of wild-type Aβ42 filaments, there are subtle conformational changes in the human Arctic folds, because of the lack of a side chain at G22, which may strengthen hydrogen bonding between mutant Aβ molecules and promote filament formation. A minority of Aβ42 filaments of type II was also present, as were tau paired helical filaments. In addition, we report the cryo-EM structures of Aβ filaments with the Arctic mutation from mouse knock-in line AppNL−G−F. Most filaments are made of two identical mutant protofilaments that extend from D1 to G37 (AppNL−G−F murine Arctic fold). In a minority of filaments, two dimeric folds pack against each other in an anti-parallel fashion. The AppNL−G−F murine Arctic fold differs from the human Arctic folds, but shares some substructure.
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    Does Data-Independent Acquisition Data Contain Hidden Gems? A Case Study Related to Alzheimer's Disease
    (American Chemical Society, 2022) Hubbard, Evan E.; Heil, Lilian R.; Merrihew, Gennifer E.; Chhatwal, Jasmeer P.; Farlow, Martin R.; McLean, Catriona A.; Ghetti, Bernardino; Newell, Kathy L.; Frosch, Matthew P.; Bateman, Randall J.; Larson, Eric B.; Keene, C. Dirk; Perrin, Richard J.; Montine, Thomas J.; MacCoss, Michael J.; Julian, Ryan R.; Pathology and Laboratory Medicine, School of Medicine
    One of the potential benefits of using data-independent acquisition (DIA) proteomics protocols is that information not originally targeted by the study may be present and discovered by subsequent analysis. Herein we reanalyzed DIA data originally recorded for global proteomic analysis to look for isomerized peptides, which occur as a result of spontaneous chemical modifications to long-lived proteins. Examination of a large set of human brain samples revealed a striking relationship between Alzheimer’s disease (AD) status and isomerization of aspartic acid in a peptide from tau. Relative to controls, a surprising increase in isomer abundance was found in both autosomal dominant and sporadic AD samples. To explore potential mechanisms that might account for these observations, quantitative analysis of proteins related to isomerization repair and autophagy was performed. Differences consistent with reduced autophagic flux in AD-related samples relative to controls were found for numerous proteins, including most notably p62, a recognized indicator of autophagic inhibition. These results suggest, but do not conclusively demonstrate, that lower autophagic flux may be strongly associated with loss of function in AD brains. This study illustrates that DIA data may contain unforeseen results of interest, and may be particularly useful for pilot studies investigating new research directions. In this case, a promising target for future investigations into the therapy and prevention of AD has been identified.
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    Identifying novel genetic variants for brain amyloid deposition: a genome-wide association study in the Korean population
    (BMC, 2021-06-21) Kim, Hang-Rai; Jung, Sang-Hyuk; Kim, Jaeho; Jang, Hyemin; Kang, Sung Hoon; Hwangbo, Song; Kim, Jun Pyo; Kim, So Yeon; Kim, Beomsu; Kim, Soyeon; Jeong, Jee Hyang; Yoon, Soo Jin; Park, Kyung Won; Kim, Eun-Joo; Yoon, Bora; Jang, Jae-Won; Hong, Jin Yong; Choi, Seong Hye; Noh, Young; Kim, Ko Woon; Kim, Si Eun; Lee, Jin San; Jung, Na-Yeon; Lee, Juyoun; Kim, Byeong C.; Son, Sang Joon; Hong, Chang Hyung; Na, Duk L.; Seo, Sang Won; Won, Hong-Hee; Kim, Hee Jin; Radiology and Imaging Sciences, School of Medicine
    Background: Genome-wide association studies (GWAS) have identified a number of genetic variants for Alzheimer's disease (AD). However, most GWAS were conducted in individuals of European ancestry, and non-European populations are still underrepresented in genetic discovery efforts. Here, we performed GWAS to identify single nucleotide polymorphisms (SNPs) associated with amyloid β (Aβ) positivity using a large sample of Korean population. Methods: One thousand four hundred seventy-four participants of Korean ancestry were recruited from multicenters in South Korea. Discovery dataset consisted of 1190 participants (383 with cognitively unimpaired [CU], 330 with amnestic mild cognitive impairment [aMCI], and 477 with AD dementia [ADD]) and replication dataset consisted of 284 participants (46 with CU, 167 with aMCI, and 71 with ADD). GWAS was conducted to identify SNPs associated with Aβ positivity (measured by amyloid positron emission tomography). Aβ prediction models were developed using the identified SNPs. Furthermore, bioinformatics analysis was conducted for the identified SNPs. Results: In addition to APOE, we identified nine SNPs on chromosome 7, which were associated with a decreased risk of Aβ positivity at a genome-wide suggestive level. Of these nine SNPs, four novel SNPs (rs73375428, rs2903923, rs3828947, and rs11983537) were associated with a decreased risk of Aβ positivity (p < 0.05) in the replication dataset. In a meta-analysis, two SNPs (rs7337542 and rs2903923) reached a genome-wide significant level (p < 5.0 × 10-8). Prediction performance for Aβ positivity increased when rs73375428 were incorporated (area under curve = 0.75; 95% CI = 0.74-0.76) in addition to clinical factors and APOE genotype. Cis-eQTL analysis demonstrated that the rs73375428 was associated with decreased expression levels of FGL2 in the brain. Conclusion: The novel genetic variants associated with FGL2 decreased risk of Aβ positivity in the Korean population. This finding may provide a candidate therapeutic target for AD, highlighting the importance of genetic studies in diverse populations.