Serotonin 1A Receptor PET Imaging and SSRI Outcome in Bipolar Depression
Serotonin 1A Receptor PET Imaging and SSRI Outcome in Bipolar Depression
批准号:
8934160
负责人:
Martin Joseph Lan
金额:
$18.04万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-25 至 2019-07-31
关键词:
AcuteAdultAffectAftercareAggressive behaviorAgitationAntidepressive AgentsAnxietyApplications GrantsAutoreceptorsBasic ScienceBindingBiologicalBiological MarkersBipolar DepressionBipolar DisorderBrainBrain StemBrain imagingClinicalClinical TrialsControlled Clinical TrialsDSM-IVDataDepressed moodDiagnosisDiagnosticDiseaseDoctor of PhilosophyEducational CurriculumEquipment and supply inventoriesFDA approvedFluoxetineFunctional disorderFutureGoalsGrantGuidelinesHamilton Rating Scale for DepressionHealthImageKineticsKnowledgeMajor Depressive DisorderManicMeasuresMental DepressionMentorsMentorshipModelingMolecularMood stabilizersMorbidity - disease rateNeuronsOutcomePaperParticipantPatientsPharmaceutical PreparationsPhasePlacebo ControlPopulationPositron-Emission TomographyPrincipal InvestigatorProcessProtocols documentationPsychiatristPublic HealthRandomizedRecording of previous eventsResearchResearch Domain CriteriaResearch PersonnelResearch Project GrantsResearch ProposalsRiskRoleScanningScientistSelective Serotonin Reuptake InhibitorSerotoninSerotonin Receptor 5-HT1ASignal TransductionSourceSubgroupSymptomsTechniquesTestingTimeTrainingWorkanxiety symptomsbasebipolar depression depressed phasebipolar patientsclinical remissiondepressed patientdesigndisabilityhealthy volunteerimage processinginhibitor/antagonistneuroimagingnovelpatient oriented researchpersonalized medicineradiotracerresponseserotonin receptorsingle episode major depressive disorderskillsstatisticssuicidal patientsuicidal risktooltranslational neuroscience
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): The research proposal for this K23 grant application uses imaging with positron emission tomography (PET) to quantify brain serotonin 1A receptors in bipolar depression to determine whether the imaging signal is associated with a clinical response to the selective serotonin receptor inhibitor (SSRI) antidepressant fluoxetine when added to a mood stabilizer. An association with clinical outcome may be a first step to identifying a biomarker that can predict clinical response. This goal is important because not all bipolar patients respond to SSRI's and there are risks associated with the treatment, making personalized medicine options for the disorder a needed tool. Bipolar disorder is common, is one of the top 10 sources of disability, and is associated with an increased risk for suicide. Moreover, treatment is trial and error, a problematic clinical process, and there are only three medications FDA approved for the depressed phase. A recent paper showed that PET signal of brain serotonin 1A receptor was associated with clinical remission after three months of unstructured treatment. A different paper showed that the PET signal was associated with clinical response to SSRI's in major depressive disorder. Another aim of the study is to determine whether the PET signal is associated with the symptoms of anxiety or aggression in bipolar depression. If there is a correlation, this may be the first step to redefining the diagnoss along biological, serotonin signaling. The project utilizes a new radiotracer [11C] CUMI-101 that is a significant advance over other radiotracers. It also utilizes a new statistical approach to correlate clinical outcome with imaging data. This is a training grant, and the research project will provide an opportunity for its principal investigator, Martin Lan, MD, PhD, to develop into an
independent neuroimaging researcher. He has previous research background in basic science techniques, and this grant will allow him to gain patient oriented research skills to use his clinial training as a psychiatrist in his research. He will receive mentorship from experts in the field during the project, including his primary mentor, Dr. J John Mann, co-mentor, Dr. R. Todd Ogden, collaborator, Dr. Patrick McGrath and consultant, Dr. Jeffrey Meyer. This mentorship, and a curriculum of classes to increase his knowledge, will provide the necessary skills in image processing, PET radiotracer kinetic modeling, general statistics, and basic and translational neuroscience.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金