Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE120584 | GEO | 2019/02/26
REPOSITORIES: GEO
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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: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.
2020-07-01 | GSE147218 | GEO
Project description:Although vascular dementia (VaD) is the second most prevalent form of dementia, there is currently a lack of effective treatments. Tilianin, isolated from the traditional drug Dracocephalum moldavica L., may protect against ischemic injury by inhibiting oxidative stress and inflammation via the CaMKII-related pathways but with weak affinity with the CaMKII molecule. microRNAs (miRNAs), functioning in post-transcriptional regulation of gene expression, may play a role in the pathological process of VaD via cognitive impairment, neuroinflammatory response, and neuronal dysfunction. This study aimed to investigate the role of tilianin in VaD therapy and the underlying mechanism through which tilianin regulates CaMKII signaling pathways based on miRNA-associated transcriptional action.
2023-04-02 | GSE228494 | GEO
Project description:Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
| PRJNA493639 | ENA
Project description:Purpose: Our study aimed to disclose the specific gene expression profile representing peritoneal relapses inherent in primary gastric cancers and to identify patients at high risk of peritoneal relapse in a prospective study on the basis of the molecular prediction. Experimental Design: RNA samples from 141 primary gastric cancer tissues after curative surgery were profiled using oligonucleotide microarrays covering 30,000 human probes. Firstly we constructed molecular prediction system and validated the robustness and prognostic validity of the analysis by 500 times multiple random sampling in 56 retrospective set consisting of 38 relapse free and 18 peritoneal relapse patients. Secondly we applied this prediction to 85 prospective set to assess the predictive accuracy and prognostic validity. Results: In retrospective phase, 500 times multiple random sampling analysis yielded 68% predictive accuracy in average and 22 gene expression profile associated with peritoneal relapse was identified. This prediction could identify significantly poor prognostic patients. In prospective phase, the molecular prediction yielded 76.9% overall accuracy. KaplanâMeier analysis with peritoneal relapse free survival showed a significant difference between âgood signature groupâ and âpoor signature groupâ (Log-rank p=0.0017). Multivariate analysis by Cox regression hazards model revealed that the molecular prediction was the only independent peritoneal relapse prognostic factor. Conclusions: Gene expression profile inherent in primary gastric cancer tissues can be useful to predict peritoneal relapse prospectively after curative surgery and individualize postoperative management to improve the prognosis of advanced gastric cancers. Of 141 samples, 56 represented the retrospective phase and 85 represented the prospective phase.
2010-05-23 | E-GEOD-15081 | biostudies-arrayexpress
Project description:In this study, we investigated the miRNA and mRNA profiling of the cortex of rat model of vascular dementia (VaD) to analyze the regulatory mechanism in the pathology of VaD involved by miRNAs, transcription factors (TFs), and corresponding target genes. As a validated model of VaD, rats suffering from bilateral common carotid artery occlusion (2VO) were used in the present study and the reliability of this model was examined by the Morris water maze (MWM) test and the Nissl staining. Overall, results showed that rats with 2VO presented declined learning and memory capabilities in the MWM test and neuronal loss in the hippocampus and cortex indicated by Nissl-staining compared to sham rats. DEGs, DEMs, and DETFs were discriminated between rats with 2VO and sham rats in the cortex, illustrated by 13 aberrantly-expressed miRNAs, 805 mRNAs, and 63 TFs. Further network analysis revealed that 7 target genes, 5 miRNAs, and 10 TFs were the key molecule in the miRNA-TF-gene network related to VaD. Gene Ontology (GO) and pathway enrichment analyses of these VaD-related transcripts showed that these differently changed genes mostly got involved in PI3K-Akt signaling pathway, neuroactive ligand-receptor interaction, calcium signaling pathway, and Wnt signaling pathway, along with central locations around cell membrane, exerting function such as growth factor binding, integrin binding, and extracellular matrix structural constituent, with representative biological processes like vasculature development, cell-substrate adhesion, cellular response to growth factor stimulus, and synaptic transmission. In conclusion, these results will help us understand the underlying regulatory mechanisms of miRNA-TF-genes in pathogenesis and provide potential therapeutic targets for the treatment of VaD.
2022-09-15 | GSE199508 | GEO
Project description:Purpose: Our study aimed to disclose the specific gene expression profile representing peritoneal relapses inherent in primary gastric cancers and to identify patients at high risk of peritoneal relapse in a prospective study on the basis of the molecular prediction. Experimental Design: RNA samples from 141 primary gastric cancer tissues after curative surgery were profiled using oligonucleotide microarrays covering 30,000 human probes. Firstly we constructed molecular prediction system and validated the robustness and prognostic validity of the analysis by 500 times multiple random sampling in 56 retrospective set consisting of 38 relapse free and 18 peritoneal relapse patients. Secondly we applied this prediction to 85 prospective set to assess the predictive accuracy and prognostic validity. Results: In retrospective phase, 500 times multiple random sampling analysis yielded 68% predictive accuracy in average and 22 gene expression profile associated with peritoneal relapse was identified. This prediction could identify significantly poor prognostic patients. In prospective phase, the molecular prediction yielded 76.9% overall accuracy. Kaplan–Meier analysis with peritoneal relapse free survival showed a significant difference between ‘good signature group’ and ‘poor signature group’ (Log-rank p=0.0017). Multivariate analysis by Cox regression hazards model revealed that the molecular prediction was the only independent peritoneal relapse prognostic factor. Conclusions: Gene expression profile inherent in primary gastric cancer tissues can be useful to predict peritoneal relapse prospectively after curative surgery and individualize postoperative management to improve the prognosis of advanced gastric cancers.
2009-03-04 | GSE15081 | GEO
Project description:Chronic cerebral hypoperfusion (CCH) is a well-known risk factor for vascular dementia and other neurodegenerative disease, for which there are currently no effective medications available. MicroRNA (miRNA) are noncoding RNAS mediating post-translational silencing of genes, and has been extensively studied for their involvement in neurodegenerative disease. However, little is known about their roles in vascular dementia (VaD). In this work, a bilateral common carotid arteries occlusion (2-VO) surgery in rats was employed to induced CCH related cognitive dysfunction. Four months later, the hippocampi were dissected from 2-VO and sham operated rats for high-throughput profiling of miRNAs. Twelve differentially expressed miRNAs were identified according to a cutoff of |log2(Fold Change)|≥1 and p＜0.05. GO analysis of target genes revealed that the most relevant biological processes included the regulatory region nucleic acid binding, histone acetyltransferase binding, organic acid transmembrane transporter activity, L-amino acid transmembrane transporter activity. The cellular structure mainly included histone deacetylation complexes, endosomes, Golgi membranes, etc. And the involved molecular processes mainly included axon development, organ morphogenesis, macromolecular modification, regulation of neuron projection development, neuron development. This study provides a framework for understanding the alternations in hippocampus miRNA profiles underwent hypoxia insult.
2019-12-17 | GSE142087 | GEO
Project description:Schmitz2014 - RNA triplex formation
The model is parameterized using the
parameters for gene CCDC3 from Supplementary Table S1. The two
miRNAs which form the triplex together with CCDC3 are miR-551b and
miR-138.
This model is described in the article:
Cooperative gene regulation
by microRNA pairs and their identification using a
computational workflow.
Schmitz U, Lai X, Winter F,
Wolkenhauer O, Vera J, Gupta SK.
Nucleic Acids Res. 2014 Jul; 42(12):
7539-7552
Abstract:
MicroRNAs (miRNAs) are an integral part of gene regulation
at the post-transcriptional level. Recently, it has been shown
that pairs of miRNAs can repress the translation of a target
mRNA in a cooperative manner, which leads to an enhanced
effectiveness and specificity in target repression. However, it
remains unclear which miRNA pairs can synergize and which genes
are target of cooperative miRNA regulation. In this paper, we
present a computational workflow for the prediction and
analysis of cooperating miRNAs and their mutual target genes,
which we refer to as RNA triplexes. The workflow integrates
methods of miRNA target prediction; triplex structure analysis;
molecular dynamics simulations and mathematical modeling for a
reliable prediction of functional RNA triplexes and target
repression efficiency. In a case study we analyzed the human
genome and identified several thousand targets of cooperative
gene regulation. Our results suggest that miRNA cooperativity
is a frequent mechanism for an enhanced target repression by
pairs of miRNAs facilitating distinctive and fine-tuned target
gene expression patterns. Human RNA triplexes predicted and
characterized in this study are organized in a web resource at
www.sbi.uni-rostock.de/triplexrna/.
This model is hosted on
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BIOMD0000000530.
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2024-09-02 | BIOMD0000000530 | BioModels
Project description:Both gene and miRNA expression patterns separately correlate with survival in breast cancer suggesting that the development of models using both miRNAs and gene markers might improve their prediction performance. In this study miRNAs significantly associated with development of distant metastasis were identified and further investigated and validated in the publicly available dataset from the METABRIC. A combined outcome prediction model using gene expression, miRNA expression and clinico-pathological features was implemented. Fresh-frozen primary tumors were obtained from 123 patients with operable breast cancer previously untreated, pathologically defined as axillary node-negative and undergoing radical or conservative surgery at the Istituto Nazionale Tumori of Milano (INTM) between1990 and 1998. Patients were selected in order to have a comparable pattern of classical risk factors (age, tumor size).
2015-07-31 | E-GEOD-59829 | biostudies-arrayexpress