2/2 - Inflammation and Stress Response in Familial and Nonfamilial Youth Suicidal Behavior
2/2 - 家族和非家族青少年自杀行为中的炎症和压力反应
基本信息
- 批准号:10550199
- 负责人:
- 金额:$ 35.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-08-18 至 2027-11-30
- 项目状态:未结题
- 来源:
- 关键词:Accident and Emergency departmentAcuteAdmission activityAgeAutoreceptorsBindingBiologicalBlood specimenBrainCause of DeathCellsChronicChronic stressClinicalClinical DataComplexDetectionEventFamily history ofFeeling suicidalFrequenciesFundingFutureGenesHairHospitalsHydrocortisoneInflammationInflammatoryInpatientsInsula of ReilInterleukin-6KnowledgeKynurenineLigandsLongitudinal StudiesMachine LearningMeasuresMessenger RNAMethodsMitochondriaMitochondrial DNAMood DisordersNear-Infrared SpectroscopyNeurocognitiveOutpatientsParentsPathogenesisPathway interactionsPatientsPeripheralPhenotypePlasmaPositron-Emission TomographyProductionRecording of previous eventsReportingRespirationRiskRisk BehaviorsRisk FactorsSalivarySamplingSerotoninSeveritiesSiteStressSuicideSuicide attemptTNF geneTimeTryptophanUniversitiesWorkYouthagedbiological adaptation to stressclinical riskcytochrome ccytochrome c oxidasecytokinefollow-upglial activationhigh riskhypothalamic-pituitary-adrenal axisimprovedindexingmitochondrial dysfunctionneuroinflammationnoveloffspringoxidationperipheral bloodpredicting responsepsychosocialrecruitresilienceresponsesocial stresssuicidalsuicidal adolescentsuicidal behaviorsuicidal risktransmission processyoung adult
项目摘要
Suicide is 2nd leading cause of death in the US youth, and rates have risen 33% in 17 years. Clinical risk factors
alone have disappointing predictive power and biological predictors show promise but rarely separated into long-
term and short-term predictors due to the challenge of detecting biological profiles shortly before suicide behavior
(SB). We propose a novel pragmatic approach of examining biological risk profiles immediately after an acute
suicidal crisis and then separating them into familial and nonfamilial risk profiles. Our collaborative work indicates
a stress responsive biological phenotype associated with more lethal and familial SB where inflammation
activates the kynurenine pathway depleting brain serotonin by shunting tryptophan away from serotonin toward
kynurenine synthesis. Inflammation and neuroinflammation can potentially result from HPA axis and
mitochondrial dysregulations. We also find HPA axis dysregulation and inflammation to be more pronounced in
those with SB and family history of SB. We hypothesize familial factors to be mostly long-term and nonfamilial
factors to be mostly short-term risk factors. We propose to examine short-term or proximal biological risk profiles
for suicidal behavior (SB) in stress response and inflammatory pathways, peripherally and in the brain, and
examine familial and nonfamilial biological mechanisms for SB in young adults. We will recruit 120 young adult
psychiatric inpatients or outpatients, aged 18-30 years, 80 at high-risk for SB defined as those presenting to the
emergency department (ED) or admitted for suicidal ideation (SI) with a plan and intent or SB in the last two
weeks; and 40 at lower risk with no SB or SI with plan/intent in past 3 months. Groups will be frequency-matched
on familial risk. We will collect: 1) clinical data; 2) hair to measure hair cortisol concentrations (HCC); 3) conduct
the Trier Social Stress Task (TSST) to measure cortisol, peripheral inflammation (cytokines, kynurenine
metabolites) and circulating cell free mitochondrial DNA (ccf-mtDNA); 4) PET imaging using [11C]ER176 ligand
to measure neuroinflammation; and 5) near-infrared spectroscopy (NIRS) to measure in PFC oxidation state of
cytochrome-c-oxidase (oxCOX), a brain marker of mitochondrial function. Patients will be followed up at 1, 3,
and 12 months. The year post-hospital/ED discharge is a high-risk period for SB and the first 3 months is the
highest risk period. We hypothesize high-risk patients will show higher [11C]ER176 PET binding and lower oxCOX
at baseline. They will also show lower HCC and higher cortisol response to stress and higher inflammation and
ccf-mtDNA prior and in response to stress at baseline. Offspring of attempters will show more severe biological
profiles due to the contribution of short and longer-term risk factors. We will also examine the relationships
between peripheral and brain measures and explore whether they predict SB. This study will improve our
understanding of familial and nonfamilial biological mechanisms for SB to better separate long-term and short-
term risk biological phenotypes, which will help guide risk detection and novel just-in-time approaches.
自杀是美国年轻人的第二大死因,17年来自杀率上升了33%。临床危险因素
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Joseph John Mann其他文献
Joseph John Mann的其他文献
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{{ truncateString('Joseph John Mann', 18)}}的其他基金
A blood-brain-barrier permeable imaging biomarker for microtubules in the brain: A first-in-human clinical trial
大脑微管的血脑屏障可渗透成像生物标志物:首次人体临床试验
- 批准号:
10193563 - 财政年份:2021
- 资助金额:
$ 35.75万 - 项目类别:
Inflammatory, mitochondrial and serotonergic interrelationships in the pathogenesis of major depression
重性抑郁症发病机制中炎症、线粒体和血清素的相互关系
- 批准号:
10364705 - 财政年份:2020
- 资助金额:
$ 35.75万 - 项目类别:
Inflammatory, mitochondrial and serotonergic interrelationships in the pathogenesis of major depression
重性抑郁症发病机制中炎症、线粒体和血清素的相互关系
- 批准号:
10579940 - 财政年份:2020
- 资助金额:
$ 35.75万 - 项目类别:
1/4 Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
1/4 利用 EHR 连接的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10199767 - 财政年份:2019
- 资助金额:
$ 35.75万 - 项目类别:
1/4 Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
1/4 利用 EHR 连接的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10015337 - 财政年份:2019
- 资助金额:
$ 35.75万 - 项目类别:
1/4 Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
1/4 利用 EHR 连接的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10411970 - 财政年份:2019
- 资助金额:
$ 35.75万 - 项目类别:
1/4 Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders
1/4 利用 EHR 连接的生物库进行精神疾病的深度表型分析、多基因风险评分建模和结果分析
- 批准号:
10657607 - 财政年份:2019
- 资助金额:
$ 35.75万 - 项目类别:
2/2 - Familial Early-Onset Suicide Attempt Biomarkers
2/2 - 家族性早发性自杀企图生物标志物
- 批准号:
8967768 - 财政年份:2015
- 资助金额:
$ 35.75万 - 项目类别:
2/2 - Familial Early-Onset Suicide Attempt Biomarkers
2/2 - 家族性早发性自杀企图生物标志物
- 批准号:
9131809 - 财政年份:2015
- 资助金额:
$ 35.75万 - 项目类别:
2/2 - Inflammation and Stress Response in Familial and Nonfamilial Youth Suicidal Behavior
2/2 - 家族和非家族青少年自杀行为中的炎症和压力反应
- 批准号:
10364001 - 财政年份:2015
- 资助金额:
$ 35.75万 - 项目类别:
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