Establishing Genomic/Transcriptomic Links Between Alzheimer’s Disease and Type 2 Diabetes Mellitus by Meta-Analysis Approach

ISSN: 1996-3181 (Online)
ISSN: 1871-5273 (Print)


Volume 13, 10 Issues, 2014


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CNS & Neurological Disorders - Drug Targets

Formerly: Current Drug Targets - CNS & Neurological Disorders

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Stephen D. Skaper
Department of Pharmaceutical and Pharmacological Sciences
University of Padova
Padova
Italy


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Establishing Genomic/Transcriptomic Links Between Alzheimer’s Disease and Type 2 Diabetes Mellitus by Meta-Analysis Approach

Author(s): Zeenat Mirza, Mohammad A. Kamal, Adel M. buzenadah, Mohammed H. Al-Qahtani and Sajjad Karim

Affiliation: Center of Excellence in Genomic Medicine Research, King Abdulaziz University, PO Box-80216, Jeddah, Pin-21589, Kingdom of Saudi Arabia.

Abstract

Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limited ability to compare the performance of different metaanalysis methods. Using cDNA microarray technology (Partek Genomics Suite 6.6) and global pathway analysis with Ingenuity Pathway Analysis tool (IPA, Inc), we examined the transcript level in type 2 diabetes mellitus (T2DM) and Alzheimer’s disease (AD) patients and controls. To understand the molecular link between T2DM and AD, we compared the gene expression pattern and pathway involved. Microarray analysis identified 235 differentially expressed genes between T2DM patients and controls; and 834 between AD and controls at two fold change and a false discovery rate of 0.05. Significantly changed expression of “myeloid leukemia cell differentiation protein 1; RAS guanyl releasing protein 1; S100 calcium-binding protein A8; prostaglandin- endoperoxide synthase 2; parvalbumin; endoplasmic reticulum aminopeptidase 1; phosphoglycerate kinase 1; Eukaryotic translation initiation factor 3 subunit F; Interleukin-1 beta; tubulin, beta 2A; glycine receptor alpha 1 and ribosomal protein S24” genes were highly associated with T2DM, whereas “neuronal differentiation 6; G-protein coupled receptor 83; phosphoserine phosphatase; bobby sox homolog or HMG box -containing protein 2; Glutathione S-transferase theta 1; alpha-2-glycoprotein 1 zinc-binding; Heat shock 70kDa protein 1B; transportin 1, Acidic leucine-rich nuclear phosphoprotein 32 family member B; Nuclear factor of activated T-cells 5; inositol 1,4,5-trisphosphate 3-kinase B; prenylcysteine oxidase 1 like” were found to be strongly related with AD. We also found a set of differentially expressed genes; “ARP2 actin-related protein 2; Cell division control protein 42; cytoplasmic polyadenylation element binding protein 4; Early growth response protein 1; ectonucleotide pyrophosphatase/phosphodiesterase 5; folate receptor 1; glutamate-ammonia ligase; hydroxy-3-methylglutaryl-Coenzyme A reductase; 3-hydroxy-3- methylglutaryl-CoA synthase; interleukin 1 receptor- like 1; leukemia inhibitory factor receptor; metastasis associated lung adenocarcinoma transcript 1; pyruvate dehydrogenase kinase, isozyme 4; phosphoserine phosphatase, parvalbumin, and tubulin, beta 2A” to be present in both dataset. Altered regulation of intracellular signaling pathways, including Ephrin receptor, liver X receptor/ retinoid X receptor; interleukin 6; insulinlike growth factor 1; interleukin 10 and 14-3-3-mediated signaling pathways were associated with T2DM as well as Alzheimer-type pathology. Our findings implicate diabetic disorders in the pathogenesis of AD, and provide a basis for future candidate studies based on specific pathways.

Keywords: Alzheimer's disease, canonical pathways, meta-analysis, microarray, transcriptomics, type 2 diabetes mellitus.

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Article Details

Volume: 13
Issue Number: 3
First Page: 501
Last Page: 516
Page Count: 16
DOI: 10.2174/18715273113126660154
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