Common mechanisms in neurodegeneration and neuroinflammation: a BrainNet Europe gene expression microarray study.

Neurodegenerative diseases of the central nervous system are characterized by pathogenetic cellular and molecular changes in specific areas of the brain that lead to the dysfunction and/or loss of explicit neuronal populations. Despite exhibiting different clinical profiles and selective neuronal loss, common features such as abnormal protein deposition, dysfunctional cellular transport, mitochondrial deficits, glutamate excitotoxicity, iron accumulation and inflammation are observed in many neurodegenerative disorders, suggesting converging pathways of neurodegeneration. We have generated comparative genome-wide gene expression data, using the Illumina HumanRef 8 Beadchip, for Alzheimer's disease, amyotrophic lateral sclerosis, Huntington's disease, multiple sclerosis, Parkinson's disease, and schizophrenia using an extensive cohort (n = 113) of well-characterized post-mortem brain tissues. The analysis of whole-genome expression patterns across these major disorders offers an outstanding opportunity not only to look into exclusive disease-specific changes, but more importantly to look for potential common molecular pathogenic mechanisms. Surprisingly, no dysregulated gene that passed our selection criteria was found in common across all six diseases. However, 61 dysregulated genes were shared when comparing five and four diseases. The few genes highlighted by our direct gene comparison analysis hint toward common neuronal homeostatic, survival and synaptic plasticity pathways. In addition, we report changes to several inflammation-related genes in all diseases. This work is supportive of a general role of the innate immune system in the pathogenesis and/or response to neurodegeneration.

Selection of novel reference genes for use in the human central nervous system: a BrainNet Europe Study.

The use of an appropriate reference gene to ensure accurate normalisation is crucial for the correct quantification of gene expression using qPCR assays and RNA arrays. The main criterion for a gene to qualify as a reference gene is a stable expression across various cell types and experimental settings. Several reference genes are commonly in use but more and more evidence reveals variations in their expression due to the presence of on-going neuropathological disease processes, raising doubts concerning their use. We conducted an analysis of genome-wide changes of gene expression in the human central nervous system (CNS) covering several neurological disorders and regions, including the spinal cord, and were able to identify a number of novel stable reference genes. We tested the stability of expression of eight novel (ATP5E, AARS, GAPVD1, CSNK2B, XPNPEP1, OSBP, NAT5 and DCTN2) and four more commonly used (BECN1, GAPDH, QARS and TUBB) reference genes in a smaller cohort using RT-qPCR. The most stable genes out of the 12 reference genes were tested as normaliser to validate increased levels of a target gene in CNS disease. We found that in human post-mortem tissue the novel reference genes, XPNPEP1 and AARS, were efficient in replicating microarray target gene expression levels and that XPNPEP1 was more efficient as a normaliser than BECN1, which has been shown to change in expression as a consequence of neuronal cell loss. We provide herein one more suitable novel reference gene, XPNPEP1, with no current neuroinflammatory or neurodegenerative associations that can be used for gene quantitative gene expression studies with human CNS post-mortem tissue and also suggest a list of potential other candidates. These data also emphasise the importance of organ/tissue-specific stably expressed genes as reference genes for RNA studies.

Effects of antemortem and postmortem variables on human brain mRNA quality: a BrainNet Europe study.

Well-characterized and preserved human brain tissue that is prepared and stored in brain banks is an essential resource for research in neurological diseases. This study examined the quality of human brain postmortem tissue from multiple laboratories within the BrainNet Europe brain bank network to identify all possible confounding variables and determine how they may affect RNA quality. Antemortem and postmortem information was retrospectively collected for a large cohort of samples. Total RNA was isolated from anatomically defined brain regions using a standardized procedure; RNA quality was assessed using an Agilent 2100 Bioanalyzer. No significant difference in RNA quality was observed in 6 different brain regions. RNA quality deteriorated with increasing numbers of antemortem events such as hospitalization, coma, respiratory illness, and the use of artificial ventilation; accumulation of such events was associated with elevated hypoxia-inducible factor 1 alpha mRNA expression. Brain pH was found to be a good indicator of RNA quality. There was no correlation of postmortem delay with cerebrospinal fluid pH or RNA quality overall, but some individual RNAs decreased in quality with antemortem events and with postmortem delay. RNA quality did not affect total RNA yield. Determining the factors that are best predictors of RNA quality can help brain banks with selection criteria for storing high-quality brain tissue for research.