Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA530121 | ENA |
REPOSITORIES: ENA
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Project description:MicroRNAs (miRNAs) are small (20-22 nucleotides) regulatory non-coding RNAs that strongly influence gene expression. Most prior studies addressing the role of miRNAs in neurodegenerative diseases (NDs) have focused on individual controls (n = 2), AD (n = 5), dementia with Lewy bodies (n = 4), hippocampal sclerosis of aging (n = 4), and frontotemporal lobar dementia (FTLD) (n = 5) cases, together accounting for the most prevalent ND subtypes. All cases had short postmortem intervals, relatively high-quality RNA, and state-of-the-art neuropathological diagnoses. The resulting data (over 113 million reads in total, averaging 5.6 million reads per sample) and secondary expression analyses constitute an unprecedented look into the human cerebral cortical miRNome at single nucleotide resolution. While we find no apparent changes in isomiR or miRNA editing patterns in correlation with ND pathology, our results validate and extend previous miRNA profiling studies with regard to quantitative changes in NDs. In agreement with this idea, we provide independent cohort validation for changes in miR-132 expression levels in AD (n = 8) and FTLD (n = 14) cases when compared to controls (n = 8). The identification of common and ND-specific putative novel brain miRNAs and/or short-hairpin molecules is also presented. The challenge now is to better understand the impact of these and other alterations on neuronal gene expression networks and neuropathologies. Using RNA deep sequencing, we sought to analyze in detail the small RNAs (including miRNAs) in the temporal neocortex gray matter from non-demented controls (n = 2), AD (n = 5), dementia with Lewy bodies (n = 4), hippocampal sclerosis of aging (n = 4), and frontotemporal lobar dementia (FTLD) (n = 5) cases, together accounting for the most prevalent ND subtypes.
2013-04-18 | E-GEOD-46131 | biostudies-arrayexpress
Project description:Epigenome Analysis of Post-Mortem Human Temporal Pole Brain Tissue For more information, please refer to DOI: 10.3233/JAD-141989 Temporal Pole regions from 24 age-matched causcasian males: 8 samples which died of normal causes, 8 samples with Alzheimer's disease (stage 3/4) and 8 samples with dementia with lewy bodies
2015-03-31 | E-GEOD-67419 | biostudies-arrayexpress
Project description:Parkinson’s disease (PD), Parkinson’s disease with dementia (PDD) and dementia with Lewy bodies (DLB) are three clinically, genetically and neuropathologically overlapping neurodegenerative diseases collectively known as the Lewy body diseases (LBDs). A variety of molecular mechanisms have been implicated in PD pathogenesis, but the mechanisms underlying PDD and DLB remain largely unknown, a knowledge gap that presents an impediment to the discovery of diseasemodifying therapies. Transcriptomic profiling can contribute to addressing this gap, but remains limited in the LBDs. Here, we applied paired bulk-tissue and single-nucleus RNA-sequencing to anterior cingulate cortex samples derived from 28 individuals, including healthy controls, PD, PDD and DLB cases (n = 7 per group), to transcriptomically profile the LBDs. Using this approach, we (i) found transcriptional alterations in multiple cell types across the LBDs; (ii) discovered evidence for widespread dysregulation of RNA splicing, particularly in PDD and DLB; (iii) identified potential splicing factors, with links to other dementia-related neurodegenerative diseases, coordinating this dysregulation; and (iv) identified transcriptomic commonalities and distinctions between the LBDs that inform understanding of the relationships between these three clinical disorders. Together, these findings have important implications for the design of RNA-targeted therapies for these diseases and highlight a potential molecular “window” of therapeutic opportunity between the initial onset of PD and subsequent development of Lewy body dementia.
2021-08-15 | GSE178146 | GEO
Project description:Alzheimer’s disease (AD) is the most common subtype of dementia, followed by Vascular Dementia (VaD), and Dementia with Lewy Bodies (DLB). Recently, microRNAs (miRNAs) have received a lot of attention as the novel biomarkers for dementia. Here, using serum miRNA expression of 1,601 Japanese individuals, we investigated potential miRNA bio- markers and constructed risk prediction models, based on a supervised principal component analysis (PCA) logistic regression method, according to the subtype of dementia. The final risk prediction model achieved a high accuracy of 0.873 on a validation cohort in AD, when using 78 miRNAs: Accuracy = 0.836 with 86 miRNAs in VaD; Accuracy = 0.825 with 110 miRNAs in DLB. To our knowledge, this is the first report applying miRNA-based risk pre- diction models to a dementia prospective cohort. Our study demonstrates our models to be effective in prospective disease risk prediction; and with further improvement may contribute to practical clinical use in dementia.
2019-02-26 | GSE120584 | GEO
Project description:Human cerebrospinal fluid was collected from patients diagnosed with neurodegenerative diseases including multiple system atrophy (n=28), Parkinson’s disease (n=40), dementia with Lewy bodies (n=20), progressive supranuclear palsy (n=39) and from controls (n=17) in order to perform a comparative quantitative proteome profiling of cerebrospinal fluids from the five groups.
2022-08-12 | PXD026802 | Pride
Project description:Proteomic analysis were performed in olfactory bulbs derived from controls and individuals with dementia with lewy bodies
2021-09-08 | PXD016069 | Pride
Project description:There are many subtypes of dementia, and identification of diagnostic biomarkers that are minimally-invasive, low-cost, and efficient is desired. Circulating microRNAs (miRNAs) have recently gained attention as easily accessible and non-invasive biomarkers. We conducted a comprehensive miRNA expression analysis of serum samples from 1348 Japanese dementia patients, composed of four subtypes—Alzheimer’s disease (AD), vascular dementia, dementia with Lewy bodies (DLB), and normal pressure hydrocephalus—and 246 control subjects. We used this data to construct dementia subtype prediction models based on penalized regression models with the multiclass classification. We constructed a final prediction model using 46 miRNAs, which classified dementia patients from an independent validation set into four subtypes of dementia. Network analysis of miRNA target genes revealed important hub genes, SRC and CHD3, associated with the AD pathogenesis. Moreover, MCU and CASP3, which are known to be associated with DLB pathogenesis, were identified from our DLB-specific target genes. Our study demonstrates the potential of blood-based biomarkers for use in dementia-subtype prediction models. We believe that further investigation using larger sample sizes will contribute to the accurate classification of subtypes of dementia.
2021-10-22 | GSE167559 | GEO
Project description:We investigated transcriptome alterations in the prefrontal cortex (BA) of patients with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) when compared with elderly controls without neurological or psychiatric diseases (CTRL) using Affymetrix Human Transcriptome Array 2.0 All brain samples were provided by the Brains for Dementia Research (BDR), UK. All cases were prospectively assessed by experienced clinicians using validated clinical rating instruments. The samples processed in each group were matched for age, sex and postmortem interval (PMI) as far as possible.
2021-05-24 | GSE150696 | GEO
Project description:We have used HiRIEF (High Resolution Isoelectric Focusing) LC-MS proteomics with isobaric tags (TMT10plex) to compare 32 post-mortem human brains in the prefrontal cortex (Brodmann area 9) of prospectively followed patients with Alzheimer`s disease (AD), Parkinson`s disease with dementia (PDD), dementia with Lewy bodies (DLB) and older adults without dementia.
2017-12-08 | PXD006122 | Pride