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Transcriptional signatures mediated by acetylation overlap with early-stage Alzheimer's disease.

ABSTRACT: The mechanisms by which environmental influences lead to the development of complex neurodegenerative diseases are largely unknown. It is known, however, that epigenetic mechanisms can mediate alterations in transcription due to environmental influences. In order to identify genes susceptible to regulation in the adult cortex by one type of epigenetic mechanism, histone, and protein acetylation, we treated mice with the histone deacetylase inhibitor Trichostatin A (TSA). After 1 week of treatment with TSA, RNA was extracted from the brain cortices of mice and gene expression differences were analyzed by microarray profiling. The altered genes were then compared with genes differentially expressed in microarray studies of disease by database and literature searches. Genes regulated by TSA were found to significantly overlap with differentially expressed genes in the Alzheimer's disease (AD) brain. Several TSA-regulated genes involved in chromatin remodeling and epigenetic reprogramming including histone cluster 1, H4 h (Hist1H4 h), methionine adenosyltransferase II, alpha (Mat2a), and 5-methyltetrahydrofolate homocysteine reductase (Mtrr) overlapped with genes altered in early-stage AD in gray matter. We also show that the expression of hemoglobin, which has been shown to be altered in neurons in the AD brain, is regulated by TSA treatment. This analysis suggests involvement of epigenetic mechanisms in neurons in early stages of AD.

SUBMITTER: Vadnal J

PROVIDER: S-EPMC3678955 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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Transcriptional signatures mediated by acetylation overlap with early-stage Alzheimer's disease.

Vadnal J J Houston S S Bhatta S S Freeman E E McDonough J J

Experimental brain research 20120719 3

The mechanisms by which environmental influences lead to the development of complex neurodegenerative diseases are largely unknown. It is known, however, that epigenetic mechanisms can mediate alterations in transcription due to environmental influences. In order to identify genes susceptible to regulation in the adult cortex by one type of epigenetic mechanism, histone, and protein acetylation, we treated mice with the histone deacetylase inhibitor Trichostatin A (TSA). After 1 week of treatmen ...[more]

PMID: 22811216

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Project description:Despite huge investments and major efforts to develop remedies for Alzheimer's disease (AD) in the past decades, AD remains incurable. While evidence for molecular and phenotypic variability in AD have been accumulating, AD research still heavily relies on the search for AD-specific genetic/protein biomarkers that are expected to exhibit repetitive patterns throughout all patients. Thus, the classification of AD patients to different categories is expected to set the basis for the development of therapies that will be beneficial for subpopulations of patients. Here we explore the molecular heterogeneity among a large cohort of AD and non-demented brain samples, aiming to address the question whether AD-specific molecular biomarkers can progress our understanding of the disease and advance the development of anti-AD therapeutics. We studied 951 brain samples, obtained from up to 17 brain regions of 85 AD patients and 22 non-demented subjects. Utilizing an information-theoretic approach, we deciphered the brain sample-specific structures of altered transcriptional networks. Our in-depth analysis revealed that 7 subnetworks were repetitive in the 737 diseased and 214 non-demented brain samples. Each sample was characterized by a subset consisting of ~1-3 subnetworks out of 7, generating 52 distinct altered transcriptional signatures that characterized the 951 samples. We show that 30 different altered transcriptional signatures characterized solely AD samples and were not found in any of the non-demented samples. In contrast, the rest of the signatures characterized different subsets of sample types, demonstrating the high molecular variability and complexity of gene expression in AD. Importantly, different AD patients exhibiting similar expression levels of AD biomarkers harbored distinct altered transcriptional networks. Our results emphasize the need to expand the biomarker-based stratification to patient-specific transcriptional signature identification for improved AD diagnosis and for the development of subclass-specific future treatment.

Dataset Information

Transcriptional signatures mediated by acetylation overlap with early-stage Alzheimer's disease.

Publications

Transcriptional signatures mediated by acetylation overlap with early-stage Alzheimer's disease.

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