DOI: 10.1101/482844Nov 29, 2018Paper

Network-based identification of genetic factors in Ageing, lifestyle and Type 2 Diabetes that Influence in the progression of Alzheimer's disease

BioRxiv : the Preprint Server for Biology
Utpala Nanda ChowdhuryMohammad Ali Moni

Abstract

Alzheimer's disease (AD) is an incurable disease, and the causative risk factors, especially the modifiable ones, are still poorly understood which impedes the effective prevention and remedy strategies. We proposed a network-based quantitative framework to reveal the complex relationship of various biasing genetic factors for the AD. We analyzed gene expression microarray data from the AD, ageing, severe alcohol consumption, type II diabetes, high body fat, high dietary fat, obesity, dietary red meat, sedentary lifestyle, smoking, and control datasets. We have developed genetic associations and diseasome network of various factors with the AD based on the neighbourhood-based benchmarking and multilayer network topology approaches. The study identified 484 differentially expressed genes of the AD. Among them, 27 genes were highly expressed in both for the AD and smoking whereas the number of genes is 21 for the AD and type II diabetes, and 12 for the AD and sedentary lifestyle. However, AD shared less than ten significant biomarkers with other factors. Notably, 3 significant genes, HLA-DRB4, IGH and IGHA2 are commonly up-regulated among the AD, type II diabetes and alcohol consumption; 2 significant genes IGHD and IGHG1 are com...Continue Reading

Related Concepts

Alzheimer's Disease
Anatomy, Regional
Biological Markers
Diabetes Mellitus, Non-Insulin-Dependent
Dietary Fats
Gene Expression
Genes
Gold
Male Population Group
Obesity

Related Feeds

Aging-Associated Metabolic Disorders

Age is associated with many metabolic disorders including cardiovascular diseases, type 2 diabetes, stroke and heart disease. The mediators in aging process have been suggested to play a part in the cellular processes responsible for these metabolic disorders. Here is the latest research on aging-associated metabolic disorders.

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Cell Aging (Keystone)

This feed focuses on cellular aging with emphasis on the mitochondria, autophagy, and metabolic processes associated with aging and longevity. Here is the latest research on cell aging.

Aging & Diabetes

This feed focuses on the role of the aging process on developing diabetes.

Alzheimer's Disease: Microglia (Preprints)

Microglial proliferation and activation, as well as its concentration around amyloid plaques, is a prominent feature of Alzheimer’s disease. Here is the latest research on microglia and Alzheimer’s disease.

Cell Aging (Preprints)

This feed focuses on cellular aging with emphasis on the mitochondria, autophagy, and metabolic processes associated with aging and longevity. Here is the latest research on cell aging.

Biomarkers for Type 2 Diabetes

Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.

© 2021 Meta ULC. All rights reserved