Analysis of blood-based gene expression in idiopathic Parkinson disease

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Neurology

• Publication date

  2017-10-17

• Fields of study

  Biology, Medicine

• Identifiers
  DOI 10.1212/WNL.0000000000004516PMID 28916538PMCID PMC5644465
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• [Parkinson's disease].

  2022cited by this paper
• Parkinson's disease

  2015cited by this paper
• Low‐variance RNAs identify Parkinson's disease molecular signature in blood

  2015cited by this paper
• Blood transcriptomics of drug-naïve sporadic Parkinson’s disease patients

  2015cited by this paper
• Network-based metaanalysis identifies HNF4A and PTBP1 as longitudinally dynamic biomarkers for Parkinson’s disease

  2015cited by this paper
• Long Non-Coding RNA and Alternative Splicing Modulations in Parkinson's Leukocytes Identified by RNA Sequencing

  2014cited by this paper
• Surface EMG activity during REM sleep in Parkinson's disease correlates with disease severity.

  2014cited by this paper
• Current Challenges Towards the Development of a Blood Test for Parkinson’s Disease

  2014cited by this paper
• Unbiased approaches to biomarker discovery in neurodegenerative diseases.

  2014cited by this paper
• Blood-based biomarkers for Parkinson's disease.

  2014cited by this paper
• Structure and Function of Parkin, PINK1, and DJ-1, the Three Musketeers of Neuroprotection

  2013cited by this paper
• Plasma apolipoprotein A1 as a biomarker for Parkinson disease

  2013cited by this paper
• Found in transcription: Accurate Parkinson's disease classification in peripheral blood

  2013cited by this paper
• Extracting a few functionally reproducible biomarkers to build robust subnetwork-based classifiers for the diagnosis of cancer.

  2013cited by this paper
• Biosignatures for Parkinson’s Disease and Atypical Parkinsonian Disorders Patients

  2012cited by this paper
• A molecular signature in blood identifies early Parkinson’s disease

  2012cited by this paper
• Depression and quality of life in monogenic compared to idiopathic, early‐onset Parkinson's disease

  2012cited by this paper
• Voltage-dependent Anion Channels (VDACs) Recruit Parkin to Defective Mitochondria to Promote Mitochondrial Autophagy*

  2012cited by this paper
• Plasma epidermal growth factor levels predict cognitive decline in Parkinson disease

  2011cited by this paper
• Decreased expression of B cell related genes in leukocytes of women with Parkinson's disease

  2011cited by this paper
• Transcriptional profile of Parkinson blood mononuclear cells with LRRK2 mutation.

  2011cited by this paper
• Exon Arrays Reveal Alternative Splicing Aberrations in Parkinson’s Disease Leukocytes

  2011cited by this paper
• Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome

  2011cited by this paper
• PGC-1α, A Potential Therapeutic Target for Early Intervention in Parkinson’s Disease

  2010cited by this paper
• Expander: from expression microarrays to networks and functions

  2010influential reference
• Tackling the widespread and critical impact of batch effects in high-throughput data

  2010cited by this paper
• Pilot study: peripheral biomarkers for diagnosing sporadic Parkinson’s disease

  2010cited by this paper
• SRRM2, a Potential Blood Biomarker Revealing High Alternative Splicing in Parkinson's Disease

  2010cited by this paper
• GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop

  2010cited by this paper
• A critical evaluation of the ubiquitin-proteasome system in Parkinson's disease.

  2009cited by this paper
• Advanced microarray analysis highlights modified neuro-immune signaling in nucleated blood cells from Parkinson's disease patients.

  2008cited by this paper
• Molecular markers of early Parkinson's disease based on gene expression in blood

  2007cited by this paper
• Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer.

  2006cited by this paper
• Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism

  1998cited by this paper
• Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

  1992cited by this paper
• Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments

  year unknowncited by this paper

• RNA networks of lysosomal-related biomarkers in Parkinson’s disease and their correlations with freezing of gait-associated genes

  2026cites this paper
• Inherent variability limits clinical utility of reproducible Parkinson’s transcriptomics signatures

  2025cites this paper
• Feature learning augmented with sampling and heuristics (FLASH) improves model performance and biomarker identification

  2025cites this paper
• Profiling the Braak progression in Parkinson's disease: a transcriptomics and ML driven identification of progressive biomarker and prognostic ceRNA signature.

  2025cites this paper
• Machine Learning and Deep Learning in Clinical Practice: Advancing Neurodegenerative Disease Diagnosis with Multimodal Markers.

  2025cites this paper
• Computational analysis of transcriptome data and mapping of functional networks in Parkinson’s disease

  2025cites this paper
• A Study of Gene Expression Levels of Parkinson’s Disease Using Machine Learning

  2025cites this paper
• The Quest for a Universal Parkinson’s Transcriptomics Signature is Derailed by Inherent Variability between Patients

  2025cites this paper
• A blood-based DNA damage signature in patients with Parkinson’s disease is associated with disease progression

  2025cites this paper
• Marker Genes Identification and Prediction of Parkinson’s Disease by Integrating Blood-based Multi-Omics Data

  2025cites this paper
• Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges

  2025cites this paper
• Single-Cell Sequencing Screening of Biomarkers Associated with Lipophagy in the MPTP Model Mice of Parkinson’s Disease

  2025cites this paper
• A Comprehensive Study of Circulating Blood Linear RNA nominates CD55 and DLD as novel causal genes and early-stage biomarkers for Parkinson’s Disease

  2025cites this paper
• A Theoretical and Practical Analysis of Membrane Protein Genes Altered in Neutrophils in Parkinson’s Disease

  2025cites this paper
• Detection of early Parkinson's disease using 5-hydroxymethylcytosine episignatures in blood DNA.

  2025cites this paper
• Exploring the landscape of Parkinson’s disease transcriptomics: a quantitative review of research progress and future directions

  2025cites this paper
• AWmeta empowers adaptively-weighted transcriptomic meta-analysis

  2025cites this paper
• Integrative Analysis of Gene Expression Profiles of Parkinson’s Disease Using Feature Selection Approaches and Explainable AI

  2025cites this paper
• Substantia nigra and blood gene signatures and biomarkers for Parkinson’s disease from integrated multicenter microarray-based transcriptomic analyses

  2025cites this paper
• Self Supervised Prediction of Genetic Associations in Comorbid Diseases With Masked Autoencoder Using Hypergraph Representations

  2025cites this paper
• Combining Single-Cell RNA Sequencing and Mendelian Randomization to Explore Novel Drug Targets for Parkinson’s Disease

  2025cites this paper
• Synergizing drug repurposing and target identification for neurodegenerative diseases.

  2024cites this paper
• Biological Function Analysis of MicroRNAs and Proteins in the Cerebrospinal Fluid of Patients with Parkinson’s Disease

  2024cites this paper
• Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection

  2024cites this paper
• Analysis of Expression of the GRIPAP1, DLG4, KIF1B, NGFRAP1, and NRF1 Genes in Peripheral Blood of the Patients with Parkinson’s Disease in the Early Clinical Stages

  2024cites this paper
• Impact of potential biomarkers, SNRPE, COX7C, and RPS27, on idiopathic Parkinson’s disease

  2024cites this paper
• Triadic concept analysis for insights extraction from longitudinal studies in health

  2024cites this paper
• Predicting Common Pathway Signatures Between DNA Methylation and Post Translational Modification in Type II Diabetes & Parkinson's Disease Using Heterogeneous Data Integration

  2024cites this paper
• Prion diseases disrupt glutamate/glutamine metabolism in skeletal muscle

  2024cites this paper
• Omics‐derived biological modules reflect metabolic brain changes in Alzheimer's disease

  2024cites this paper
• Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data

  2024cites this paper
• Analysis of LRRN3, MEF2C, SLC22A, and P2RY12 Gene Expression in the Peripheral Blood of Patients in the Early Stages of Parkinson’s Disease

  2024cites this paper
• Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson’s disease

  2024cites this paper
• Systematic analysis of multi-omics data reveals component-specific blood-based biomarkers for Parkinson’s disease

  2024cites this paper
• Parkinson's disease patients display a DNA damage signature in blood that is predictive of disease progression

  2024cites this paper
• Deciphering the molecular pathways underlying dopaminergic neuronal damage in Parkinson's disease associated with SARS-CoV-2 infection

  2024cites this paper
• Early-stage idiopathic Parkinson’s disease is associated with reduced circular RNA expression

  2024cites this paper
• Knockdown of PDCD4 ameliorates neural cell apoptosis and mitochondrial injury through activating the PI3K/AKT/mTOR signal in Parkinson's disease.

  2023cites this paper
• MLKL deficiency alleviates neuroinflammation and motor deficits in the α-synuclein transgenic mouse model of Parkinson’s disease

  2023cites this paper
• Transcriptomics of MASLD Pathobiology in African American Patients in the Washington DC Area

  2023cites this paper
• Analysis of ADORA2A, MTA1, PTGDS, PTGS2, NSF, and HNMT Gene Expression Levels in Peripheral Blood of Patients with Early Stages of Parkinson's Disease

  2023cites this paper
• Transcriptomic analysis reveals associations of blood-based A-to-I editing with Parkinson’s disease

  2023cites this paper
• Blood biomarker-based classification study for neurodegenerative diseases

  2023cites this paper
• Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression

  2023cites this paper
• Diagnosis of acute myeloid leukaemia on microarray gene expression data using categorical gradient boosted trees

  2023cites this paper
• Identification and Experimental Validation of Parkinson’s Disease with Major Depressive Disorder Common Genes

  2023influential citation
• Ferroptosis-Related Immune Genes in Hematological Diagnosis of Parkinson’s Diseases

  2023cites this paper
• A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model

  2023cites this paper
• Integrative gene expression analysis for the diagnosis of Parkinson's disease using machine learning and explainable AI

  2023cites this paper
• Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN

  2023cites this paper
• Mitochondrial Bioenergy in Neurodegenerative Disease: Huntington and Parkinson

  2023cites this paper
• Parkinson’s Disease, Parkinsonisms, and Mitochondria: the Role of Nuclear and Mitochondrial DNA

  2023cites this paper
• Brain-wide transcriptome-based metabolic alterations in Parkinson’s disease: human inter-region and human-experimental model correlations

  2022cites this paper
• Longitudinal metabolomics profiling of serum amino acids in rotenone-induced Parkinson's mouse model

  2022cites this paper
• Parkinson’s Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering

  2022cites this paper
• Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio

  2022cites this paper
• Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson's disease using two-layer hybrid feature selection.

  2022cites this paper
• A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics

  2022influential citation
• Transcriptome Profiling Reveals Differential Expression of Circadian Behavior Genes in Peripheral Blood of Monozygotic Twins Discordant for Parkinson’s Disease

  2022cites this paper
• Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models

  2022cites this paper
• The Potential Role of Voltage-Dependent Anion Channel in the Treatment of Parkinson's Disease

  2022cites this paper
• Serine/threonine kinase activity associates with brain glucose metabolism changes in Alzheimer's Disease

  2022influential citation
• Blood Transcript Biomarkers Selected by Machine Learning Algorithm Classify Neurodegenerative Diseases including Alzheimer’s Disease

  2022cites this paper
• Longitudinal metabolomics profiling of serum amino acids in rotenone-induced Parkinson's mouse model

  2022cites this paper
• Identifying crosstalk genetic biomarkers linking a neurodegenerative disease, Parkinson’s disease, and periodontitis using integrated bioinformatics analyses

  2022influential citation
• Blood RNA transcripts reveal similar and differential alterations in fundamental cellular processes in Alzheimer's disease and other neurodegenerative diseases

  2022cites this paper
• Transcriptome Analysis Reveals a Two-Gene Signature Links to Motor Progression and Alterations of Immune Cells in Parkinson’s Disease

  2022influential citation
• Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson’s disease patients

  2021cites this paper
• A Comprehensive Evaluation of Cross-Omics Blood-Based Biomarkers for Neuropsychiatric Disorders

  2021cites this paper
• A Computational Analysis in a Cohort of Parkinson’s Disease Patients and Clock-Modified Colorectal Cancer Cells Reveals Common Expression Alterations in Clock-Regulated Genes

  2021influential citation
• Complementary Transcriptomic and Proteomic Analysis in the Substantia Nigra of Parkinson's Disease

  2021cites this paper
• Diagnosis of Acute Myeloid Leukaemia Using Machine Learning

  2021cites this paper
• Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease

  2021cites this paper
• Application of serum SNCA gene in the diagnosis of Parkinson’s disease

  2021cites this paper
• Sex-specific gene expression in the blood of four primates.

  2021cites this paper
• Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

  2021cites this paper
• Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcriptome during Parkinson’s disease progression

  2021cites this paper
• Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

  2021cites this paper
• Advances in cerebral palsy biomarkers.

  2021cites this paper
• Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

  2021cites this paper
• Reduced erythrocytic CHCHD2 mRNA is associated with brain pathology of Parkinson’s disease

  2021cites this paper
• Gene expression barcode values reveal a potential link between Parkinson’s disease and gastric cancer

  2021cites this paper
• A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers

  2021cites this paper
• Deep phenotyping of peripheral tissue facilitates mechanistic disease stratification in sporadic Parkinson's disease.

  2020cites this paper
• The Dynamic Pathosome: A Surrogate for Health and Disease

  2020cites this paper
• Interpreting the dynamic pathogenesis of Parkinson’s disease by longitudinal blood transcriptome analysis

  2020cites this paper
• Machine learning for the diagnosis of Parkinson's disease: A systematic review

  2020cites this paper
• Mining genetic and transcriptomic data using machine learning approaches in Parkinson’s disease

  2020cites this paper
• Classification algorithms applied to blood-based transcriptome meta-analysis to predict idiopathic Parkinson's disease

  2020cites this paper
• Explaining Health Across the Sciences

  2020cites this paper
• Genome-wide identification of m6A-associated single-nucleotide polymorphisms in Parkinson's disease.

  2020cites this paper
• Understanding Human Cerebral Malaria through a Blood Transcriptomic Signature: Evidences for Erythrocyte Alteration, Immune/Inflammatory Dysregulation, and Brain Dysfunction

  2020cites this paper
• Polydatin alleviates parkinsonism in MPTP-model mice by enhancing glycolysis in dopaminergic neurons.

  2020cites this paper
• Deep sncRNA-seq of the PPMI cohort to study Parkinson’s disease progression

  2020cites this paper
• Systematic metabolic analysis of potential target, therapeutic drug, diagnostic method and animal model applicability in three neurodegenerative diseases

  2020cites this paper
• The Mouseion at the JAXlibrary

  2020cites this paper
• Finding associations in a heterogeneous setting: statistical test for aberration enrichment

  2020cites this paper
• A blood-based 22-gene expression signature for hepatocellular carcinoma identification

  2020cites this paper
• Genetic networks in Parkinson’s and Alzheimer’s disease

  2020cites this paper
• An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders

  2020cites this paper