Utilizing microRNA in cerebrospinal fluid to evaluate the effects of tyrosine kinase inhibition via Nilotinib on gene regulation in individuals with Parkinson's disease or Alzheimer's disease
Utilizing microRNA in cerebrospinal fluid to evaluate the effects of tyrosine kinase inhibition via Nilotinib on gene regulation in individuals with Parkinson's disease or Alzheimer's disease
批准号:
10201534
负责人:
Alan Fowler
金额:
$2.91万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2021-08-21
关键词:
3,4-Dihydroxyphenylacetic AcidAffectAge-YearsAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAlzheimer&aposs disease therapyAmyloid beta-ProteinAnimal ModelAttenuatedAutophagocytosisBiologicalBiological AssayBiological MarkersBlood - brain barrier anatomyBrainCerebrospinal FluidCerebrospinal Fluid ProteinsClinicalClinical TrialsCognitionComputer softwareDataDementia with Lewy BodiesDevelopmentDiseaseDisease ProgressionDisinhibitionDopamineDoseDown-RegulationEnrollmentEnzyme-Linked Immunosorbent AssayEvaluationFYN geneGene ExpressionGene Expression RegulationGene TargetingGenesHomovanillic AcidHumanImpaired cognitionIndividualInterventionLiquid substanceLysosomesMeasuresMetabolismMicroRNAsMotorNerve DegenerationNeurodegenerative DisordersParkinson DiseaseParkinson&aposs DementiaPathologyPathway AnalysisPathway interactionsPatientsPhasePilot ProjectsPlasmaPolymerase Chain ReactionPopulationPost-Transcriptional RegulationProtein Tyrosine KinaseProteinsProteolysisReproducibilityReverse TranscriptionRoleSurrogate MarkersTREM2 geneTestingTimeTyrosine Kinase InhibitorUbiquitinationUnited StatesUntranslated RNAWorkalpha synucleincohortdata miningdifferential expressiondiscoidin receptorexperimental studyimprovedindividual responseinhibitor/antagonistmiRNA expression profilingmulticatalytic endopeptidase complexneuroinflammationneuropathologyneurotoxicnext generation sequencingnon-motor symptomopen labelpre-clinicalprotein biomarkersresponseresponse biomarkertau Proteinstau-1treatment comparison
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英文摘要
Project summary/Abstract:
Alzheimer’s disease (AD) and Parkinson’s disease (PD), are estimated to affect 40% and 1% of the United
Stated population over 85 years of age, respectively, making them the two most common neurodegenerative
diseases [1-6]. The identification of a reliable biomarker for response to interventions in AD and PD will greatly
assist in the development of successful disease modifying therapies. Our strong preclinical evidence
demonstrates that Nilotinib, a multi-kinase tyrosine kinase inhibitor, increases autophagic clearance of neurotoxic
proteins and ameliorates other neurodegenerative pathologies. In humans we have shown that Nilotinib
penetrates the brain, inhibits cerebrospinal fluid (CSF) Abelson tyrosine kinase activity, reduces CSF total and
phosphorylated tau, stabilizes CSF alpha-synuclein levels, and increases CSF Homovanillic acid, an end
byproduct of Dopamine metabolism. MicroRNAs (miRNAs) have recently emerged as attractive candidates as
biomarkers in neurodegenerative diseases due to their stability in biological fluids including CSF and plasma.
MiRNA are small non-coding RNA whose role is to post-translationally silence expression of gene targets. A pilot
study identified 47 miRNA in the CSF of PD and Dementia with Lewy Bodies (DBL) patients differentially
expressed after 6 months Nilotinib treatment compared to baseline. Target analysis indicates that many of the
down regulated miRNA target genes are associated with autophagy and ubiquitination, agreeing with much of
our preclinical work that demonstrates autophagy and ubiquitination leading to proteolysis is inhibited in PD and
disinhibited after Nilotinib treatment. Here, I propose to further evaluate the effects of TKI via Nilotinib on gene
regulation by sequencing the miRNA in CSF collected from 50 patients enrolled in NCT02954978 to evaluate
Nilotinib’s impact in PD and 37 patients enrolled in NCT02954978 to evaluate Nilotinib’s impact in AD. Next-
generation sequencing will identify miRNAs that were differentially expressed in Nilotinib treated individuals
compared to baseline. Next-generation sequencing will be validated using TaqMan real-time PCR assays. Gene
target analysis will be performed to reveal what genes and pathways are associated with the expressed miRNAs.
Surrogate protein biomarkers for PD progression will be measured in the CSF using enzyme-linked
immunosorbent assays (ELISAs). Together, this wealth of collected data will enable me to correlate miRNA
changes to clinical endpoint measures including protein biomarkers and clinical rating scale scores to validate
miRNAs as potential reliable biomarkers for the response to TKI via Nilotinib in PD and AD.
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