Shared Neural Circuitry in Comorbid Schizophrenia and Nicotine Addiction
共病精神分裂症和尼古丁成瘾的共享神经回路
基本信息
- 批准号:8144920
- 负责人:
- 金额:$ 49.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-30 至 2015-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAdverse effectsAllelesAmygdaloid structureAnatomyAnteriorAntipsychotic AgentsAreaBehavioralBiological MarkersBrainCarbon MonoxideChronicCigarette SmokerClinicalComorbidityCorpus striatum structureDataDiagnosisDorsalEtiologyEventExposure toFunctional Magnetic Resonance ImagingFunctional disorderGeneral PopulationGenesGeneticGenotypeGlobus PallidusGoalsHealthHeritabilityHigh PrevalenceImageImpairmentIncentivesLeadLinkMeasuresMinnesotaModelingMolecularMoodsNeurocognitionNicotineNicotine DependenceNicotine WithdrawalNucleus AccumbensOutcomePathologyPathway interactionsPatientsPersonalityPharmaceutical PreparationsPopulationPublic HealthQuestionnairesRTN4 geneRecruitment ActivityResistanceRestRewardsRiskSchizophreniaSecondary toSelection for TreatmentsSelf MedicationSeveritiesSiblingsSignal TransductionSmokeSmokerSmokingSmoking BehaviorSmoking StatusStressStructureSubgroupSubstantia InnominataSymptomsSyndromeSystemTarget PopulationsTestingThalamic structureTobacco useVentral StriatumWithdrawalWithdrawal Symptomaddictionbasebehavior changecaudate nucleuscingulate cortexcravingdesignfollow-upheuristicshigh riskneural circuitnon-smokernovelnovel therapeuticsprospectivepublic health relevanceputamenresponsesevere mental illnesssmoking cessationsocialsuccesstherapeutic developmenttraittreatment strategy
项目摘要
DESCRIPTION (provided by applicant): The health risk associated with tobacco use in people with severe mental illness is much higher than the general population. Among them, patients with schizophrenia are the population with perhaps the highest risk for nicotine addition. Current conceptualizations of the possible etiologies of the severe schizophrenia-smoking comorbidity include self-medication for neurocognition deficits, overcoming antipsychotic medication side effects, and shared nicotinic molecular pathways. However, the underlying brain circuitry for the comorbidity is unknown. Identifying brain comorbidity circuitry is critical for developing valid biomarkers for clinical therapeutic development, individualizing treatment selection and outcome prediction. Recent data suggest that the cingulate-ventral striatum circuit appears to be one of the key pathways associated with nicotine addiction. These same areas are also among the regions most commonly implicated in schizophrenia, and additional preliminary studies suggest that the same circuit is impaired in schizophrenia. Therefore, we hypothesize that abnormal cingulate-ventral striatum circuit is a key path for schizophrenia/nicotine addiction comorbidity. We propose to test the hypotheses that the cingulate-ventral striatum circuit is abnormal in nicotine addiction and in schizophrenia, and that schizophrenia pathology disrupts this circuit and predisposes patients to more severe nicotine addiction, leading to the severe nicotine addiction/schizophrenia comorbidity. We will also examine the clinical validities of the circuit in prediction of long-term smoking behavioral change, in genetics, and in its relationships to putative addiction mechanisms. Identifying the key brain circuits associated with smoking in this high risk population will provide concrete biomarkers for new therapeutic development, and ultimately reducing the smoking related health burden in schizophrenia patients. In addition, as public health efforts have reduced smoking, those who still smoke in the population may be more dependent and more treatment-resistant. An effort targeting the population most addicted to smoking may also yield novel perspectives to treat nicotine addiction in the general population.
PUBLIC HEALTH RELEVANCE: People with schizophrenia have high rate of smoking, which is often resistant to available treatment. This study aims to identify the brain circuit responsible for the smoking comorbidity in these patients, which should lead to better treatment strategy for reducing smoking and smoking related health burden in schizophrenia patients and perhaps also in other treatment-resistant smokers in the general population.
描述(由申请人提供):患有严重精神疾病的人与吸烟相关的健康风险远高于一般人群。其中,精神分裂症患者可能是添加尼古丁风险最高的人群。目前对严重精神分裂症吸烟合并症的可能病因的概念包括针对神经认知缺陷的自我治疗、克服抗精神病药物的副作用以及共同的烟碱分子途径。然而,合并症的潜在大脑回路尚不清楚。识别大脑共病回路对于开发临床治疗开发、个体化治疗选择和结果预测的有效生物标志物至关重要。最近的数据表明,扣带回腹侧纹状体回路似乎是与尼古丁成瘾相关的关键途径之一。这些相同的区域也是最常与精神分裂症有关的区域之一,另外的初步研究表明,同一回路在精神分裂症中受到损害。因此,我们假设异常的扣带回腹侧纹状体回路是精神分裂症/尼古丁成瘾共病的关键途径。我们建议检验这样的假设:在尼古丁成瘾和精神分裂症中扣带回腹侧纹状体回路异常,并且精神分裂症病理学破坏了该回路并使患者容易出现更严重的尼古丁成瘾,从而导致严重的尼古丁成瘾/精神分裂症合并症。我们还将检查该电路在预测长期吸烟行为变化、遗传学及其与假定的成瘾机制的关系方面的临床有效性。确定这一高危人群中与吸烟相关的关键大脑回路将为新疗法的开发提供具体的生物标志物,并最终减轻精神分裂症患者与吸烟相关的健康负担。此外,随着公共卫生努力减少了吸烟,人群中那些仍然吸烟的人可能会更加依赖和更加抵抗治疗。针对吸烟最成瘾人群的努力也可能会产生治疗普通人群尼古丁成瘾的新观点。
公共卫生相关性:精神分裂症患者吸烟率很高,这通常对现有的治疗有抵抗力。这项研究旨在确定导致这些患者吸烟合并症的大脑回路,这应该会导致更好的治疗策略,以减少精神分裂症患者以及普通人群中其他难治性吸烟者的吸烟和吸烟相关的健康负担。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
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L Elliot Elliot Hong其他文献
L Elliot Elliot Hong的其他文献
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- 资助金额:
$ 49.96万 - 项目类别:
Towards Multisystem-Brain Successful Aging in Schizophrenia Spectrum
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10392882 - 财政年份:2018
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$ 49.96万 - 项目类别:
Towards Multisystem-Brain Successful Aging in Schizophrenia Spectrum
精神分裂症谱系迈向多系统大脑成功衰老
- 批准号:
9922360 - 财政年份:2018
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$ 49.96万 - 项目类别:
The Role of Stress-Immune-Connectome Disruption in Mechanisms of Chinese Early Schizophrenia Spectrum
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10057388 - 财政年份:2017
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10425363 - 财政年份:2014
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Genetics to Brain Biomarkers in Kynurenine Pathway Dysfunction
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10661740 - 财政年份:2014
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Genetics to Brain Biomarkers in Kynurenine Pathway Dysfunction
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10016396 - 财政年份:2014
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10218011 - 财政年份:2014
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