Dementia with Lewy bodies post-mortem brains reveal differentially methylated CpG sites with biomarker potential
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ABSTRACT: Dementia with Lewy bodies (DLB) is a common form of dementia with known genetic and environmental interactions. However, the underlying epigenetic mechanisms which reflect these gene-environment interactions are poorly studied. Herein, we measured genome-wide DNA methylation profiles of post-mortem brain tissue (Broadmann area 7) from 15 pathologically confirmed DLB brains and compared them with 16 cognitively normal controls using Illumina MethylationEPIC arrays. We identified 17 significantly differentially methylated CpGs (DMCs) and 17 differentially methylated regions (DMRs) between the groups. The DMCs are mainly located at the CpG islands, promoter and first exon regions. Genes associated with the DMCs are linked to “Parkinson disease” and “metabolic pathway”, as well as the diseases of “severe intellectual disability” and “mood disorders”. Overall, our study highlights previously unreported DMCs offering insights into DLB pathogenesis with the possibility that some of these could be used as biomarkers of DLB in the future.
Project description:Synucleinopathies encompass Parkinsons disease (PD), dementia with Lewy bodies (DLB), and Parkinsons disease dementia (PDD) and are recognized for presenting a range of cognitive, neuropsychiatric, sleep-related, motor, and autonomic symptoms. DLB manifests with early-onset dementia when Lewy bodies develop in the brainstem and cerebral cortex. We profiled the DNA methylation using the post-mortem brain tissue from the parietal cortex, specifically Brodmann area 7 and compared them with age-, and sex-matched controls. Through the integration of multi-omics approaches, we anticipate the identification of notable alterations in these well-defined samples. Additionally, our objective is to study the biochemical perturbations in the brain tissue of those individuals who died with DLB. Differentially Methylated Cytosines (DMCs) and metabolites were identified, followed by pathway enrichment analysis. Correlations between methylation changes and metabolite levels were explored. Methylation profiling revealed 3,478 significant DMCs, predominantly hypermethylated, enriched in CpG islands and gene regions related to transcription start sites. Pathway analysis identified 612 significant pathways, with notable involvement in olfactory and synaptic functions. Metabolomics profiling identified 15 significantly differentially abundant metabolites. The top perturbed pathway was Phosphatidylethanolamine (PE) Biosynthesis. Further, key correlations were found between significant DMCs and metabolites, particularly in the Phosphatidylethanolamine Biosynthesis pathway involving genes PTDSS1 and PCYT2. Further, ignsificant sex-specific epigenetic and metabolomic changes were also observed. This comprehensive analysis of DNA methylation and metabolomics in DLB highlights significant biomarkers and pathways, offering insights into disease mechanisms and potential therapeutic targets.
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.
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.
Project description:We have used HiRIEF (High Resolution Isoelectric Focusing) LC-MS proteomics (Branca et al., 2014, PMID: 24240322) with isobaric tags (TMT10plex) to compare 32 post-mortem human brains in the prefrontal cortex (Brodmann areas 24 and 40) 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. LCMS raw files deposited here refer to samples from BA24 and BA40. For BA09 raw files, refer to the older dataset PXD006122. Proteomics database search files for all three Brodmann areas (BA09, BA24 and BA40) are posted here.
Project description:Dementia with Lewy bodies (DLB) is the second most common cause of degenerative dementia after Alzheimer’s disease (AD) and presents several overlapping pathological and clinical features with both AD and Parkinson’s disease (PD). Consequently, only one in three DLB cases is diagnosed correctly. Platelets are anucleate cells containing cellular structures and molecules, such as microRNA (miRNA), the analysis of which provides biomarkers for several disorders. In this cross-sectional study, we profiled the whole platelet miRNA transcriptome from 7 DLB patients and 7 healthy controls using Next-Generation Sequencing (NGS) and found 22 differentially expressed miRNAs. These miRNAs were further validated with miRCURY LNA miRNA Custom PCR panels in three consecutive validation studies carried out from 2017-2019 with a total of 162 individuals including DLB (n=59), AD (n=28), and PD patients (n=24), and healthy controls (n=51). As a result, three different groups of miRNAs were identified as related to DLB, AD and PD, all in comparison with controls. Additionally, our results demonstrated a significant down-regulation of hsa-miR-26b-5p and hsa-miR-150-5p in DLB compared to PD; and a signature composed of seven miRNAs that had lower expression in DLB compared to AD. The predictive diagnostic value of this bio-signature for the differentiation of DLB from AD was assessed calculating the corresponding ROC curve, which yielded an area under the curve of 1.00. Predictive analyses using specialized software (miRTarbase, miRGate) were performed for the disease-specific miRNAs to identify target genes and corresponding pathways. Three disease-specific clusters of pathways and biological processes were identified as a result of platelet-miRNA deregulation. In DLB, pathways related to gene expression and small RNA metabolism; in AD, pathways related to stress response and RNA stress granules; and in PD pathways related to protein phosphorylation, and protein metabolism and degradation were identified. In conclusion, we describe the identification of a novel, highly specific and sensitive platelet-associated miRNA-based bio-signature, which permits us to distinguish between DLB and AD.
Project description:We identified four groups with available plasma 2 years before death: high (n = 12) and intermediate-likelihood DLB (n = 14) based on the third report of the DLB consortium; dementia with Alzheimer's pathology (AD; n = 18); and cognitively normal with normal aging pathology (n = 21). Lipids were measured using ESI/MS/MS.
Project description:We previously demonstrated that transplantation of murine neural stem cells (NSCs) can improve motor and cognitive function in a transgenic model of Dementia with Lewy Bodies (DLB). The underlying neurobiology that mediates such restoration no doubt involves numerous genes acting in concert to modulate signaling within and between host brain cells and transplanted NSCs. In order to identify functionally connected gene networks and additional mechanisms that may contribute to stem cell-induced benefits, we performed weighted gene co-expression network analysis (WGCNA) on striatal tissue isolated from NSC- and vehicle-injected wild-type and DLB mice. WGCNA is proved to be a powerful approach; revealing significant alterations in immune response, neurotransmission, and mitochondria function in response to NSC treatment.
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.
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 disease-modifying 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.