scholarly journals In Silico Analysis to Link Insulin Resistance, Obesity and Ageing with Alzheimer’s Disease

2021 ◽  
Author(s):  
Priyanka Sarkar ◽  
Premkumar Jayaraj ◽  
Ketaki Patwardhan ◽  
Samiksha Yeole ◽  
Sourajit Das ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Insulin Resistance ◽  
Alzheimer's Disease ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis

Double hit viral parasitism, polymicrobial CNS residency and perturbed proteostasis in Alzheimer’s disease: A data driven, in silico analysis of gene expression data

2020 ◽  
Vol 127 ◽  
pp. 124-135
Author(s):  
George D. Vavougios ◽  
Christiane Nday ◽  
Sygliti-Henrietta Pelidou ◽  
Sotirios G. Zarogiannis ◽  
Konstantinos I. Gourgoulianis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gene Expression Data ◽  
In Silico ◽  
In Silico Analysis ◽  
Data Driven ◽  
Expression Data ◽  
Double Hit ◽  
Silico Analysis

In Silico Analysis of Green Tea Polyphenols as Inhibitors of AChE and BChE Enzymes in Alzheimer’s Disease Treatment

2016 ◽  
Vol 15 (5) ◽  
pp. 624-628 ◽  
Author(s):  
Babar Ali ◽  
Qazi M.S. Jamal ◽  
Saiba Shams ◽  
Naser A. Al-Wabel ◽  
Mughees U. Siddiqui ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Green Tea ◽  
In Silico ◽  
In Silico Analysis ◽  
Tea Polyphenols ◽  
Green Tea Polyphenols ◽  
Disease Treatment ◽  
Silico Analysis

In silico Analysis of Stigmasterol from Saraca asoca as a Potential Therapeutic Drug Against Alzheimer’s Disease

2021 ◽  
Vol 11 (5-6) ◽  
pp. 516-529
Author(s):  
Rijo Rajeev ◽  
Shreedhanya D Marathe ◽  
Vidya Niranjan ◽  
Bhavya Sharma ◽  
Suma Sarojini
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
In Silico ◽  
In Silico Analysis ◽  
Therapeutic Drug ◽  
Saraca Asoca ◽  
Silico Analysis

scholarly journals MicroRNAs Modulate the Pathogenesis of Alzheimer’s Disease: An In Silico Analysis in the Human Brain

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 983
Author(s):  
Agnese Gugliandolo ◽  
Luigi Chiricosta ◽  
Virginia Boccardi ◽  
Patrizia Mecocci ◽  
Placido Bramanti ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Nervous System ◽  
In Silico ◽  
Target Genes ◽  
Amyloid Β ◽  
In Silico Analysis ◽  
Protein Translation ◽  
Mirnas Expression ◽  
Silico Analysis

MicroRNAs (miRNAs) are small RNAs involved in the post-transcriptional regulation of their target genes, causing a decrease in protein translation from the mRNA. Different miRNAs are found in the nervous system, where they are involved in its physiological functions, but altered miRNAs expression was also reported in neurodegenerative disorders, including Alzheimer’s disease (AD). AD is characterized by memory loss, cognitive function abnormalities, and various neuropsychiatric disturbances. AD hallmarks are amyloid β (Aβ) aggregates, called senile plaques, and neurofibrillary tangles (NFTs) formed by hyperphosphorylated Tau protein. In this study, we performed an in silico analysis to evaluate altered patterns of miRNAs expression in the brains of AD patients compared to healthy subjects. We found 12 miRNAs that were differentially expressed in AD compared to healthy individuals. These miRNAs have target genes involved in AD pathogenesis. In particular, some miRNAs influence Aβ production, having as target secretase and amyloid precursor protein (APP). Some miRNAs were reported to be involved in nervous system functions, and their alteration can cause neuronal dysfunction.

scholarly journals In silico analysis to link insulin resistance, obesity, and ageing with Alzheimer’s disease

2021 ◽  
Author(s):  
Priyanka Sarkar ◽  
Premkumar Jayaraj ◽  
Ketaki Patwardhan ◽  
Samiksha Yeole ◽  
Sourajit Das ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Insulin Resistance ◽  
Alzheimer's Disease ◽  
In Silico ◽  
Metabolic Diseases ◽  
Memory Loss ◽  
In Silico Analysis ◽  
Literature Survey ◽  
Signalling Pathway ◽  
Human Data

Abstract The process of ageing accompanies several metabolic diseases. With ageing, fats accumulate to increase the visceral and abdominal adiposity leading to hyperinsulinemia, insulin resistance, obesity and several other diseases. Drosophila melanogaster is often used to study the ageing process and its related disorders. Therefore in this study, we performed an in silico analysis to relate the process of ageing and insulin resistance. We analyzed data of insulin resistant drosophila from GEO database and compared it with the data from the literature survey. We observed that 98 genes were common in both the models, and they showed gene modulations related to metabolic pathways, fatty acid metabolism, insulin resistance, and neural receptor-ligand binding pathways. Analysis of the REACTOME database against human data revealed that TRKB signalling pathway is commonly affected. TRKB mediated BDNF pathway is a major regulator of memory loss. We further analyzed the common genes in Alzheimer's disease and compared the fly data with human data to identify the diseases related to these common genes. Then we performed a literature survey to provide protective mechanisms for TRKB signalling pathway activation, mediated through polyphenols. We treated the flies with sesamol conjugated lipoic acid derivative (a phenolic compound) at hormetic doses to evaluate its effect on the memory of flies.

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