scholarly journals Disentangling the biological pathways involved in early features of Alzheimer's disease in the Rotterdam Study

2018 ◽  
Vol 14 (7) ◽  
pp. 848-857 ◽  
Author(s):  
Shahzad Ahmad ◽  
Christian Bannister ◽  
Sven J. van der Lee ◽  
Dina Vojinovic ◽  
Hieab H.H. Adams ◽  
...  
2009 ◽  
Vol 30 (2) ◽  
pp. 330-332 ◽  
Author(s):  
B.Z. Alizadeh ◽  
O.T. Njajou ◽  
M.R. Millán ◽  
A. Hofman ◽  
M.M. Breteler ◽  
...  

2001 ◽  
Vol 20 (3) ◽  
pp. 188-195 ◽  
Author(s):  
A. Ruitenberg ◽  
S. Kalmijn ◽  
M.A.J. de Ridder ◽  
W.K. Redekop ◽  
F. van Harskamp ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P886-P887 ◽  
Author(s):  
Ana Paula MendesM Silva ◽  
Eduardo de SouzaS Nicolau ◽  
Kelly Silva Pereira ◽  
Kenia Kelly Fiaux do Nascimento ◽  
Camila Moreira SilvaMS Ferreira ◽  
...  

2020 ◽  
Vol 73 (2) ◽  
pp. 707-714
Author(s):  
Lana Fani ◽  
Saima Hilal ◽  
Sanaz Sedaghat ◽  
Linda Broer ◽  
Silvan Licher ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. S166-S167
Author(s):  
J. Harrison ◽  
E. Baker ◽  
L. Hubbard ◽  
D. Linden ◽  
J. Williams ◽  
...  

IntroductionSingle nucleotide polymorphisms (SNPs) contribute small increases in risk for late-onset Alzheimer's disease (LOAD). LOAD SNPs cluster around genes with similar biological functions (pathways). Polygenic risk scores (PRS) aggregate the effect of SNPs genome-wide. However, this approach has not been widely used for SNPs within specific pathways.ObjectivesWe investigated whether pathway-specific PRS were significant predictors of LOAD case/control status.MethodsWe mapped SNPs to genes within 8 pathways implicated in LOAD. For our polygenic analysis, the discovery sample comprised 13,831 LOAD cases and 29,877 controls. LOAD risk alleles for SNPs in our 8 pathways were identified at a P-value threshold of 0.5. Pathway-specific PRS were calculated in a target sample of 3332 cases and 9832 controls. The genetic data were pruned with R2 > 0.2 while retaining the SNPs most significantly associated with AD. We tested whether pathway-specific PRS were associated with LOAD using logistic regression, adjusting for age, sex, country, and principal components. We report the proportion of variance in liability explained by each pathway.ResultsThe most strongly associated pathways were the immune response (NSNPs = 9304, = 5.63 × 10−19, R2 = 0.04) and hemostasis (NSNPs = 7832, P = 5.47 × 10−7, R2 = 0.015). Regulation of endocytosis, hematopoietic cell lineage, cholesterol transport, clathrin and protein folding were also significantly associated but accounted for less than 1% of the variance. With APOE excluded, all pathways remained significant except proteasome-ubiquitin activity and protein folding.ConclusionsGenetic risk for LOAD can be split into contributions from different biological pathways. These offer a means to explore disease mechanisms and to stratify patients.Disclosure of interestThe authors have not supplied their declaration of competing interest.


1996 ◽  
Vol 17 (4) ◽  
pp. S79 ◽  
Author(s):  
A. Ott ◽  
M.M.B. Breteler ◽  
F. van Harskamp ◽  
D.E. Grobbee ◽  
A. Hofman

2013 ◽  
Vol 9 ◽  
pp. P456-P456 ◽  
Author(s):  
Rosie Curiel ◽  
Elizabeth Crocco ◽  
Sara Czaja ◽  
Bonnie Levin ◽  
Claes Wahlestedt ◽  
...  

2018 ◽  
Author(s):  
Baruh Polis ◽  
Kolluru D Srikanth ◽  
Vyacheslav Gurevich ◽  
Hava Gil-Henn ◽  
Abraham O. Samson

AbstractAlzheimer’s disease (AD) is a slowly progressive neurodegenerative disorder with an insidious onset. The disease is characterized by cognitive impairment and a distinct pathology with neuritic plaques and neurofibrillary tangles.Growing evidence highlights the role of arginase activity in the manifestation of AD. Upregulation of arginase was shown to contribute to endothelial dysfunction, atherosclerosis, diabetes, and neurodegeneration. Regulation of arginase activity appears to be a promising approach for interfering with the pathogenesis of AD and other metabolic disorders. Therefore, the enzyme represents a novel therapeutic target.Here, we administer an arginase inhibitor L-norvaline to a mouse model of AD. Then, we evaluate the neuroprotective effect of L-norvaline using immunohistochemistry, proteomics, and quantitative polymerase chain reaction assays. Finally, we identify the biological pathways activated by the treatment.Remarkably, we find that L-norvaline treatment reverses the cognitive decline in AD mice. We show the treatment is neuroprotective as indicated by reduced beta-amyloidosis, alleviated microgliosis, and TNFα transcription levels. Moreover, elevated levels of neuroplasticity related protein PSD-95 were detected in the hippocampi of mice treated with L-norvaline. Furthermore, we disclose several biological pathways, which are involved in cell survival and neuroplasticity and are activated by the treatment.Through these modes of action, L-norvaline has the potential to improve the symptoms of AD and even interfere with its pathogenesis. As such, L-norvaline is a promising neuroprotective molecule that might be tailored for the treatment of a range of neurodegenerative disorders.


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