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Genes associated with the progression of neurofibrillary tangles in Alzheimer's disease

ABSTRACT: Transcriptome analysis of post-mortem brain tissue specimens from three brain regions (BRs), entorinal, temporal and frontal cortices, of 71 Japanese brain-donor subjects to identify genes relevant to the expansion of neurofibrillary tangles. In total, 213 brain tissue specimens (= 71 subjects × 3 BRs) were involved in this study. The spreading of neurofibrillary tangles (NFTs), intraneuronal aggregates of highly phosphorylated microtubule-associated protein tau, across the human brain is correlated with the cognitive severity of Alzheimer’s disease (AD). To identify genes relevant to NFT expansion defined by the Braak stage, we conducted exon array analysis with an exploratory sample set consisting of 213 human post-mortem brain tissue specimens from the entorinal, temporal and frontal cortices of 71 brain-donor subjects: Braak NFT stages 0 (N = 13), I–II (N = 20), III–IV (N = 19) and V–VI (N = 19). We identified eight genes, RELN, PTGS2, MYO5C, TRIL, DCHS2, GRB14, NPAS4 and PHYHD1, associated with the Braak stage. The expression levels of three genes, PHYHD1, MYO5C and GRB14, exhibited reproducible association on real-time quantitative PCR analysis. In another sample set, including control subjects (N = 30) and patients with late-onset AD (N = 37), dementia with Lewy bodies (N = 17) and Parkinson disease (N = 36), the expression levels of two genes, PHYHD1 and MYO5C, were obviously associated with late-onset AD. Protein–protein interaction network analysis with a public database revealed that PHYHD1 interacts with MYO5C via POT1, and PHYHD1 directly interacts with amyloid beta-peptide 42. It is thus likely that functional failure of PHYHD1 and MYO5C could lead to AD development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE131617 | GEO | 2019/05/24

REPOSITORIES: GEO

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Project description:Alzheimer's Disease (AD) is a devastating neurodegenerative disorder affecting approximately 4 million people in the U.S. alone. AD is characterized by the presence of senile plaques and neurofibrillary tangles in cortical regions of the brain. These pathological markers are thought to be responsible for the massive cortical neurodegeneration and concomitant loss of memory, reasoning, and often aberrant behaviors that are seen in patients with AD. Understanding the molecular mechanisms whereby these histopathological markers develop will greatly enhance our understanding of AD development and progression. A clearer understanding of the mechanisms underlying neurofibrillary tangle formation specifically may help to clarify the basis for dementia of AD as well as the dementias associated with other diseases that are collectively referred to as "tauopathies."; To expression profile both neurons containing neurofibrillary tangles and normal neurons from the entorhinal cortex of 10 mid-stage AD cases. The gene expression profile of neurons that contain neurofibrillary tangles will differ from the expression profile of histopathologically normal neurons from the same patient and from the same brain region. Some of these differences will be informative as to the mechanisms of tangle formation. Experiment Overall Design: First use laser capture microdissection to select 1000 neurons bearing neurofibrillary tangles and 1000 normal neurons from the layer 2 stellate island neurons of the entorhinal cortex of 10 mid-stage AD cases. Second, to isolate the RNA from these captured neurons, perform double round linear amplification and hybridize the labeled cRNA to affymetrix U133A arrays. Third, to use paired, permutational t-tests to analyze the microarray data to select tangle-specific differences in gene expression. For the purposes of submitting this proposal, a value of 1 ug of RNA was entered due to web site constraints on values placed in that field. However, all samples are from LCM captured cells and the actual RNA yield is likely closer to 100 pg.

Project description:Unravel the mechanisms underlying brain aging and Alzheimer´s disease (AD) has been difficult because of complexity of the networks that drive these aging-related changes. Analysis of the gene expression in the brain is a valuable tool to study the function of the brain under normal and pathological conditions. Gene microarray technology allows massively parallel analysis of most genes expressed in a tissue, and therefore is an important research tool that potentially can provide the investigative power needed to address the complexity of brain aging and neurodegenerative processes. One of the reasons that account for the resistance of AD pathogenesis to analysis is that clinically normal subjects may exhibit considerable AD pathology, blurring criteria for distinguishing subjects with normal aging or AD. Here, we analyzed hippocampal and cortex frontal gene expression from 32 subjects separated in individuals presenting, 1) both pathologic and clinical AD (definitive AD); 2) AD pathology and normal clinic (pathologic AD); 3) cognitive impairment, without AD pathology (others dementias); and 4) no cognitive impairment, without AD pathology (normal individuals). Our results show that based on gene expression profile these individuals we could verify similarity between the definitive AD group and the group that only had AD-type pathology (pathologic AD). Specimens of hippocampus and cortex frontal used in this study were obtained at autopsy from 32 subjects. Neuropathology, specifically NFT and NP, was assessed in accordance to the Braak staging and CERAD scores, respectively. Based on pathologic and clinic criteria, subjects were categorized into four groups: 1) nine subjects with AD neuropathologic (Braak = IV / V / VI and CERAD ≠ 0) presenting cognitive impairment (CDR ≥ 1), termed “definitive AD” (dAD); 2) five subjects with AD neuropathologic (Braak = IV / V / VI and CERAD ≠ 0) and without cognitive impairment (CDR = 0), termed “pathologic AD” (pAD); 3) nine subjects without AD neuropathologic (Braak = 0 / I / II and CERAD ≠ C) presenting cognitive impairment (CDR ≥ 1), termed “other dementias” (OD); 4) - nine subjects without AD neuropathologic (Braak = 0 / I / II and CERAD ≠ C) and without cognitive impairment (CDR = 0), termed “normal” (N). RNA isolation and Amplification. From total RNA, a two-round linear amplification procedure (T7-based protocol) was carried out for all samples and for a pool of RNAs obtained from 15 distinct human cell lines used as reference. Labeled cDNA was generated in a reverse transcriptase reaction using amplified RNA (aRNA). Equal amounts of test and reference cDNA reverse color Cy-labeled aRNA targets were competitively hybridized against the cDNA probes in a customized cDNA platform with 4,608 ORESTES representing human genes. Dye-swap was performed for each sample as control for dye bias and used as replicate.

Project description:Along with the two hallmark pathologies—intracellular neurofibrillary tangles (NFTs) and extracellular amyloid plaques—transcriptional studies suggest that Alzheimer's disease (AD) results from dysfunction of many cellular pathways including synaptic transmission, cytoskeletal dynamics, and apoptosis. While these studies consistently point to the same pathways involved in AD, there is no consensus on which genes in each pathway are disease-relevant, much less on whether these genes play causative roles or are downstream effects of disease progression. To address these issues, we have performed a large-scale transcriptional analysis in brain of individuals with advanced AD and non-demented controls, focusing specifically on CA1 and the relatively less affected CA3. For comparisons between regions and across disease status, we find consistency in both pathway enrichment as well as specific differentially expressed genes across several studies. Furthermore, genes that show decreased expression with AD progression also tend to show enrichment in CA3 (and vice versa), suggesting that transcription levels in a region may reflect that region's vulnerability to disease. In particular, we find several strong candidate vulnerability (ABCA1, MT1H, PDK4, RHOBTB3) and protection (FAM13A1, LINGO2, UNC13C) genes based on expression patterns. We have also applied weighted gene coexpression network analysis (WGCNA) to explore the pathophysiology of AD from a systems perspective, finding modules for major cell types, which each show distinct disease-relevant expression patterns. In particular, a microglial module shows increased expression in the brain of non-demented controls harboring early NFT pathology, suggesting that microglial activation is an early event in AD progression. Total RNA obtained from 60um sections of frozen human hippocampus was collected using scalpel dissection. Control and AD brains were matched for all non-disease characteristics as closely as possible. CA1 and CA3 dissections for a given individual were taken from the same section. Several region- and disease-related comparisons were performed.

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Genes associated with the progression of neurofibrillary tangles in Alzheimer's disease

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