scholarly journals Erratum: RGS2 expression predicts amyloid-β sensitivity, MCI and Alzheimer’s disease: genome-wide transcriptomic profiling and bioinformatics data mining

2017 ◽  
Vol 7 (2) ◽  
pp. e1035-e1035
Author(s):  
A Hadar ◽  
E Milanesi ◽  
A Squassina ◽  
P Niola ◽  
C Chillotti ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
Amyloid Β ◽  
Transcriptomic Profiling ◽  
Genome Wide

scholarly journals RGS2 expression predicts amyloid-β sensitivity, MCI and Alzheimer’s disease: genome-wide transcriptomic profiling and bioinformatics data mining

2016 ◽  
Vol 6 (10) ◽  
pp. e909-e909 ◽  
Author(s):  
A Hadar ◽  
E Milanesi ◽  
A Squassina ◽  
P Niola ◽  
C Chillotti ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
G Protein ◽  
Amyloid Β ◽  
Healthy Individuals ◽  
Transcriptomic Profiling ◽  
Expression Levels ◽  
Genome Wide ◽  
Lower Expression

Abstract Alzheimer's disease (AD) is the most frequent cause of dementia. Misfolded protein pathological hallmarks of AD are brain deposits of amyloid-β (Aβ) plaques and phosphorylated tau neurofibrillary tangles. However, doubts about the role of Aβ in AD pathology have been raised as Aβ is a common component of extracellular brain deposits found, also by in vivo imaging, in non-demented aged individuals. It has been suggested that some individuals are more prone to Aβ neurotoxicity and hence more likely to develop AD when aging brains start accumulating Aβ plaques. Here, we applied genome-wide transcriptomic profiling of lymphoblastoid cells lines (LCLs) from healthy individuals and AD patients for identifying genes that predict sensitivity to Aβ. Real-time PCR validation identified 3.78-fold lower expression of RGS2 (regulator of G-protein signaling 2; P=0.0085) in LCLs from healthy individuals exhibiting high vs low Aβ sensitivity. Furthermore, RGS2 showed 3.3-fold lower expression (P=0.0008) in AD LCLs compared with controls. Notably, RGS2 expression in AD LCLs correlated with the patients’ cognitive function. Lower RGS2 expression levels were also discovered in published expression data sets from postmortem AD brain tissues as well as in mild cognitive impairment and AD blood samples compared with controls. In conclusion, Aβ sensitivity phenotyping followed by transcriptomic profiling and published patient data mining identified reduced peripheral and brain expression levels of RGS2, a key regulator of G-protein-coupled receptor signaling and neuronal plasticity. RGS2 is suggested as a novel AD biomarker (alongside other genes) toward early AD detection and future disease modifying therapeutics.

scholarly journals Data Mining of Molecular Simulations Suggest Key Amino Acid Residues for Aggregation, Signaling and Drug Action

Biomolecules ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1541
Author(s):  
Vaibhav Gurunathan ◽  
John Hamre Hamre ◽  
Dmitri K. Klimov ◽  
Mohsin Saleet Jafri
Keyword(s):  
Alzheimer’S Disease ◽  
Data Mining ◽  
Alzheimer's Disease ◽  
Molecular Simulation ◽  
Confusion Matrix ◽  
Amyloid Β ◽  
Md Simulations ◽  
Machine Learning Techniques ◽  
Data Set ◽  
Specificity And Sensitivity

Alzheimer’s disease, the most common form of dementia, currently has no cure. There are only temporary treatments that reduce symptoms and the progression of the disease. Alzheimer’s disease is characterized by the prevalence of plaques of aggregated amyloid β (Aβ) peptide. Recent treatments to prevent plaque formation have provided little to relieve disease symptoms. Although there have been numerous molecular simulation studies on the mechanisms of Aβ aggregation, the signaling role has been less studied. In this study, a total of over 38,000 simulated structures, generated from molecular dynamics (MD) simulations, exploring different conformations of the Aβ42 mutants and wild-type peptides were used to examine the relationship between Aβ torsion angles and disease measures. Unique methods characterized the data set and pinpointed residues that were associated in aggregation and others associated with signaling. Machine learning techniques were applied to characterize the molecular simulation data and classify how much each residue influenced the predicted variant of Alzheimer’s Disease. Orange3 data mining software provided the ability to use these techniques to generate tables and rank the data. The test and score module coupled with the confusion matrix module analyzed data with calculations of specificity and sensitivity. These methods evaluating frequency and rank allowed us to analyze and predict important residues associated with different phenotypic measures. This research has the potential to help understand which specific residues of Aβ should be targeted for drug development.

Multiomics Investigation of Hypertension and White Matter Hyperintensity as a Source of Vascular Dementia or a Comorbidity to Alzheimer’s Disease

2021 ◽  
Vol 18 ◽  
Author(s):  
Gita A. Pathak ◽  
Robert C. Barbe ◽  
Nicole R. Phillips
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Vascular Dementia ◽  
Amyloid Β ◽  
The Elderly ◽  
White Matter Hyperintensity ◽  
P Value ◽  
Csf Biomarkers ◽  
Age Related ◽  
Genome Wide

Background: Age-related comorbidity is common and significantly increases the burden for the healthcare of the elderly. Alzheimer’s disease (AD) and hypertension are the two most prevalent age-related conditions and are highly comorbid. While hypertension is a risk factor for vascular dementia (VD), hypertension with AD (ADHyp+) is often characterized as probable vascular dementia. In the absence of imaging and other diagnostic tests, differentiating the two pathological states is difficult. Objective: Our goals are to (1) identify differences in CSF-based vascular dementia profiles, if any, between individuals who have AD only (ADHyp-), and individuals with ADHyp+ using CSF levels of amyloid β, tau and p-tau, and (2) compare genome-wide DNA profiles of ADHyp- and AD-Hyp+ with an unaffected control population. Methods: Genotype and clinical data were used to compare healthy controls to AD+/Hyp- vs AD+/Hyp+. We compared the CSF biomarkers followed by evaluating genome wide profiles in three groups, and mapped SNPs to genes based on position and lowest p-value. The significant genes were examined for co-expression and known disease networks. Results: We found no differences between Aβ, tau and p-tau levels between ADHyp- and AD- Hyp+. We found TOMM40 to be associated with ADHyp- as expected but not with ADHyp+. Inter- estingly, SLC9A3R2 polymorphism was associated with ADHyp+, and significant gene expression changes were observed for neighboring genes. Conclusion: Through this exploratory study using a novel cohort stratification design, we highlight the genetic differences in clinically similar phenotypes, indicating the utility of genetic profiling in aiding differential diagnosis of ADHyp+ and VD.

scholarly journals A histone acetylome-wide association study of Alzheimer’s disease: neuropathology-associated regulatory variation in the human entorhinal cortex

2017 ◽  
Author(s):  
Sarah J. Marzi ◽  
Teodora Ribarska ◽  
Adam R. Smith ◽  
Eilis Hannon ◽  
Jeremie Poschmann ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Entorhinal Cortex ◽  
Neurodegenerative Disorder ◽  
Late Onset ◽  
Association Studies ◽  
Amyloid Β ◽  
Genomic Variation ◽  
Genome Wide Association Studies ◽  
Genome Wide

AbstractAlzheimer’s disease (AD) is a chronic neurodegenerative disorder characterized by the progressive accumulation of amyloid-β (Aβ) plaques and neurofibrillary tangles in the neocortex. Recent studies have implicated a role for regulatory genomic variation in AD progression, finding widespread evidence for altered DNA methylation associated with neuropathology. To date, however, no study has systematically examined other types of regulatory genomic modifications in AD. In this study, we quantified genome-wide patterns of lysine H3K27 acetylation (H3K27ac) - a robust mark of active enhancers and promoters that is strongly correlated with gene expression and transcription factor binding - in entorhinal cortex samples from AD cases and matched controls (n = 47) using chromatin immunoprecipitation followed by highly parallel sequencing (ChIP-seq). Across ~182,000 robustly detected H3K27ac peak regions, we found widespread acetylomic variation associated with AD neuropathology, identifying 4,162 differential peaks (FDR < 0.05) between AD cases and controls. These differentially acetylated peaks are enriched in disease-specific biological pathways and include regions annotated to multiple genes directly involved in the progression of Aβ and tau pathology (e.g. APP, PSEN1, PSEN2, MAPT), as well as genomic regions containing variants associated with sporadic late-onset AD. This is the first study of variable H3K27ac yet undertaken in AD and the largest study investigating this modification in the entorhinal cortex. In addition to identifying molecular pathways associated with AD neuropathology, we present a framework for genome-wide studies of histone modifications in complex disease, integrating our data with results obtained from genome-wide association studies as well as other epigenetic marks profiled on the same samples.

Amyloid β-peptide and Alzheimer's disease

2014 ◽  
Vol 56 ◽  
pp. 99-110 ◽  
Author(s):  
David Allsop ◽  
Jennifer Mayes
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Senile Plaques ◽  
Strong Support ◽  
Amyloid Β ◽  
Amyloid Β Peptide ◽  
Amyloid Cascade Hypothesis ◽  
Sequence Of Events ◽  
Aβ Amyloid ◽  
Amyloid Cascade

One of the hallmarks of AD (Alzheimer's disease) is the formation of senile plaques in the brain, which contain fibrils composed of Aβ (amyloid β-peptide). According to the ‘amyloid cascade’ hypothesis, the aggregation of Aβ initiates a sequence of events leading to the formation of neurofibrillary tangles, neurodegeneration, and on to the main symptom of dementia. However, emphasis has now shifted away from fibrillar forms of Aβ and towards smaller and more soluble ‘oligomers’ as the main culprit in AD. The present chapter commences with a brief introduction to the disease and its current treatment, and then focuses on the formation of Aβ from the APP (amyloid precursor protein), the genetics of early-onset AD, which has provided strong support for the amyloid cascade hypothesis, and then on the development of new drugs aimed at reducing the load of cerebral Aβ, which is still the main hope for providing a more effective treatment for AD in the future.

Minimalistic Design Approach for Multi-Reactivity against Free Radicals and Metal-Free and Metal-Bound Amyloid-β Peptides: Redox-Based Substitutions of Benzene

2019 ◽  
Author(s):  
Mingeun Kim ◽  
Juhye Kang ◽  
Misun Lee ◽  
Jiyeon Han ◽  
Geewoo Nam ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Free Radicals ◽  
Amyloid Β ◽  
Design Strategy ◽  
Design Approach ◽  
Metal Free

We report a minimalistic redox-based design strategy for engineering compact molecules based on the simplest aromatic framework, benzene, with multi-reactivity against free radicals, metal-free amyloid-β, and metal-bound amyloid-β, implicated in the most common form of dementia, Alzheimer’s disease.

Neuroinflammation and Complexes of 17β -Hydroxysteroid Dehydrogenase type 10 - Amyloid β in Alzheimer's Disease

2013 ◽  
Vol 10 (2) ◽  
pp. 165-173 ◽  
Author(s):  
Zdena Kristofikova ◽  
Daniela Ripova ◽  
Ales Bartos ◽  
Marketa Bockova ◽  
Katerina Hegnerova ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Amyloid Β ◽  
Hydroxysteroid Dehydrogenase

Microglia in Alzheimer’s Disease

2020 ◽  
Vol 17 (1) ◽  
pp. 29-43 ◽  
Author(s):  
Patrick Süß ◽  
Johannes C.M. Schlachetzki
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurodegenerative Disorder ◽  
Current Knowledge ◽  
Imaging Techniques ◽  
Amyloid Β ◽  
Disease Stage ◽  
Disease Modifying Therapy ◽  
Transcriptomic Signature

: Alzheimer’s Disease (AD) is the most frequent neurodegenerative disorder. Although proteinaceous aggregates of extracellular Amyloid-β (Aβ) and intracellular hyperphosphorylated microtubule- associated tau have long been identified as characteristic neuropathological hallmarks of AD, a disease- modifying therapy against these targets has not been successful. An emerging concept is that microglia, the innate immune cells of the brain, are major players in AD pathogenesis. Microglia are longlived tissue-resident professional phagocytes that survey and rapidly respond to changes in their microenvironment. Subpopulations of microglia cluster around Aβ plaques and adopt a transcriptomic signature specifically linked to neurodegeneration. A plethora of molecules and pathways associated with microglia function and dysfunction has been identified as important players in mediating neurodegeneration. However, whether microglia exert either beneficial or detrimental effects in AD pathology may depend on the disease stage. : In this review, we summarize the current knowledge about the stage-dependent role of microglia in AD, including recent insights from genetic and gene expression profiling studies as well as novel imaging techniques focusing on microglia in human AD pathology and AD mouse models.

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