Family Study of Affective and Anxiety Spectrum Disorders

情感和焦虑谱系障碍的家庭研究

• 批准号: 10929813
• 负责人: kathleen r merikangas
• 金额: $ 292.33万
• 依托单位: NATIONAL INSTITUTE OF MENTAL HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10929813
• 关键词: Adult; Affective; Age; Algorithms; Anxiety; Anxiety Disorders; Assessment tool; Australia; Autonomic nervous system; Biological; Biological Factors; Bioperiodicity; Bipolar Disorder; Bipolar I; Breeding; Cardiovascular Diseases; Cardiovascular Physiology; Cardiovascular system; Child; Childhood; China; Circadian Rhythms; Clinical; Cognitive; Collaborations; Communities; DSM-V; Data; Data Analyses; Data Collection; Data Science; Development; Diagnosis; Diagnostic; Diet; Disease; Disease susceptibility; Early Intervention; Electronics; Enrollment; Etiology; Evaluation; Event; Evolution; Family; Family Study; Future; Genetic; Goals; Hallucinations; Headache; Health; Health Sciences; Heart Rate; Holter Electrocardiography; Homeostasis; Hong Kong; Hormones; Individual; Inpatients; Institutional Review Boards; Interview; Investigation; Laboratories; Lead; Life; Link; Longevity; Magnetic Resonance Imaging; Marijuana Dependence; Measures; Medical; Medical History; Mental Health; Mental disorders; Metabolic; Methods; Migraine; Mood Disorders; Moods; Motor Activity; National Institute of Mental Health; Netherlands; Neurologic Examination; Neuropsychology; Nomenclature; Operations Research; Outpatients; Pain; Participant; Pathology; Patient Recruitments; Patient Self-Report; Patients; Pattern; Personality; Persons; Phase; Phenotype; Physical Examination; Physiological; Prevention; Process; Protocols documentation; Psyche structure; Psychiatry; Psychology; Psychopathology; Psychophysiology; Public Health; Publications; Recontacts; Recording of previous events; Reflex action; Reporting; Research; Research Personnel; Research Project Grants; Resolution; Review Committee; Risk; Role; Saliva; Salivary; Sampling; Series; Severities; Site; Sleep; Sleep Disorders; Specificity; Stress; Structure; Subgroup; Substance Use Disorder; Suicide; Suicide attempt; Surveys; Switzerland; Symptoms; Syndrome; System; Testing; Time; United States National Institutes of Health; Update; Valsalva Maneuver; Visualization; Work; actigraphy; anxiety spectrum disorders; blink reflexes; clinical center; clinical phenotype; cognitive testing; cohort; community setting; comorbidity; computer program; computerized; dashboard; data acquisition; data management; diagnostic criteria; diaries; disorder subtype; endophenotype; family structure; follow-up; genetic epidemiology; high risk; immune function; implementation measures; instrument; longitudinal design; method development; novel; physical conditioning; proband; psychosocial; psychotic; psychotic symptoms; recruit; sleep pattern; smartphone based assessment; social; stability testing; symptom cluster; tool; transmission process; user-friendly

To date, over 600 probands and nearly 1200 of their relatives have completed the study, including 200 children between the ages of 7-17 years. Approximately 600 individuals have also been evaluated at the NIH Clinical Center. Probands represent not only a large range of psychiatric disorders including mood and anxiety spectrum, but also substantial medical comorbidity related to sleep, migraine, pain, and cardiovascular conditions, as well as controls with minimal to no pathology. Over the past year, we focused on remotely collecting saliva and pooling existing samples for extracting genetics data, recontacting relatives for updated information, and expanding on our findings in new research tools and studies, including a newly approved research protocol under 000754-M, NCT05669703. During the past year, we have devoted substantial effort to validating and modernizing research operations. To streamline data collection, management and analyses, and to facilitate research collaboration, we continued to update our primary mental health interview to meet the latest diagnostic criteria (DSM-V) for integration into a sophisticated data capture system entitled the Diagnostic Assessment for Spectrum of Health (DASH). This system will utilize the power of modularized data capture combined with automated reporting features. We also began a comprehensive review to update our demographic, medical history, headache, sleep and family history instruments to incorporate as modules into the DASH. As a result, the DASH represents a comprehensive assessment tool measuring multiple domains of mental and physical health. Further, the DASH will have a user-friendly dashboard where specific modules assessing mental and physical health can be easily selected and administered. In addition to the DASH platform, we continued to work with experts to further develop new data science methods and tools, including efficient platforms to visualize multilevel data in R, a platform that combines data acquisition with data management and analysis, and computer programs to exploit the item-level data from diagnostic interviews and related measures, including algorithms for subthreshold syndromes, clinical phenomena, and self-report measures. Our collaboration with developers and external researchers has led to more developments in a new long-term data acquisition platform for health research (MindLogger), which we plan to use for cognitive testing, electronic diary applications, and tracking of mobile assessments in our studies. We have continued to devote research effort to collect follow-up data from families to maximize our ability to study causes, correlates, and consequences of these interrelated conditions. This involved administering diagnostic interviews and self-report clinical and psychosocial measures, in order to test the stability of these measures over time and track their relationship with emerging mental and medical disorders in families. We developed and obtained approvals by the NIMH Science Review Committee and the Institutional Review Board for a new research protocol (NIMH Rhythms and Blues Study) that will more deeply interrogate findings from our family study. By recruiting participants from the community as well as the NIMH Family Study, this new protocol employs an intensive longitudinal design with combined ecological and inpatient and outpatient laboratory assessments in the NIH Clinical Center to extensively characterize the associations among motor activity, circadian rhythms, and mood states by expanding the assessments of individual, physiologic, cognitive, and environmental correlates. For this new protocol, we have begun to pilot our updated diagnostic instruments, self-report surveys, and ecological measures, and tested a new computerized screener. We continue to devote major effort toward methods development and dissemination and analyses of dynamic phenotypes derived from actigraphy and electronic diaries, which permit investigation of fluctuations in core domains of mood disorders in the context of daily life. This work has been conducted in conjunction with collaborators across multiple sites including Lausanne, Switzerland; Sydney, Australia; Amsterdam, Netherlands; and Hong Kong, China. We are also continuing our work to examine mood disorder subtypes from childhood to adulthood, in collaboration with researchers in our parallel family study in Lausanne, Switzerland. In our most recent publication, we examined the occurrence of psychotic features within mood episodes in patients with bipolar 1 disorder (BD-1), and the associations with mood-congruent (MC) and mood-incongruent (MI) features. In a sample of thoroughly characterized patients with bipolar disorder (BD), our research suggests that patients with psychotic symptoms, particularly those with MI features, have more clinical severity in terms of a higher likelihood of reporting hallucinations, suicidal attempts, and comorbid cannabis dependence. These findings provide additional evidence supporting the distinction between BD-1 with and without psychotic features as well as the distinction between MI and MC psychotic features, highlighting the need for more thorough psychopathological evaluations to assess the presence of these symptoms in patients (Elowe et al, 2022). Public Health Impact: Integration of the clinical, neuropsychological, and psychophysiological measures within families will render an in-depth analysis of the mechanisms crucial to mood and anxiety disorders and their underlying diatheses. This will not only lead to a better fundamental, etiologic understanding of these conditions, but also may inform the development of novel treatment options, possible strategies for early intervention, and potential prevention in those with elevated risk for these conditions. Future Plans: During the next year, we plan to continue our efforts to center on the causes, correlates, and consequences of mood spectrum disorders, guided by our growing body of findings related to energy, motor activity, and other biorhythms linked to homeostasis; mental-medical comorbidity and the mechanistic association thereof; and psychiatric endophenotypes and risk processes associated with BD ranging from anxiety disorders to substance use disorders to suicide. Our analyses and new data collection will further discern subgroups for more intensive follow-up, and examination of key clinical and biological questions especially within the context of the NIMH Rhythms and Blues Study.

迄今为止，已有600多名先证者和近1200名亲属完成了这项研究，其中包括200名年龄在7-17岁之间的儿童。大约600人也在美国国立卫生研究院临床中心接受了评估。先证者不仅代表了大范围的精神疾病，包括情绪和焦虑谱，而且还代表了与睡眠、偏头痛、疼痛和心血管疾病相关的大量医学共病，以及很少或没有病理的对照。在过去的一年中，我们专注于远程收集唾液和汇集现有样本以提取遗传学数据，重新联系亲属以获取最新信息，并在新的研究工具和研究中扩展我们的发现，包括新批准的研究方案，编号为000754-M， NCT05669703。

项目成果

Factorial structure and familial aggregation of the Hypomania Checklist-32 (HCL-32): Results of the NIMH Family Study of Affective Spectrum Disorders.

• DOI: 10.1016/j.comppsych.2018.03.010
• 发表时间: 2018-07
• 期刊: Comprehensive psychiatry
• 影响因子: 7.3
• 作者: Glaus J;Van Meter A;Cui L;Marangoni C;Merikangas KR
• 通讯作者: Merikangas KR

Psychopathological precursors of the onset of mood disorders in offspring of parents with and without mood disorders: results of a 13-year prospective cohort high-risk study.

有或没有情绪障碍的父母的后代出现情绪障碍的精神病理学前兆：一项为期 13 年的前瞻性队列高风险研究的结果。

• DOI: 10.1111/jcpp.13307
• 发表时间: 2021
• 期刊: Journal of child psychology and psychiatry, and allied disciplines
• 作者: Rudaz,Dominique;Vandeleur,CarolineL;Gholam,Mehdi;Castelao,Enrique;Strippoli,Marie-PierreF;Marquet,Pierre;Aubry,Jean-Michel;Merikangas,KathleenR;Preisig,Martin
• 通讯作者: Preisig,Martin

Epidemiology of mental disorders in children and adolescents.

• DOI: 10.31887/dcns.2009.11.1/krmerikangas
• 发表时间: 2009
• 期刊: Dialogues in clinical neuroscience
• 影响因子: 8.3
• 作者: Merikangas KR;Nakamura EF;Kessler RC
• 通讯作者: Kessler RC

Comorbidity in Anxiety Disorders

• DOI: 10.1007/7854_2009_32
• 发表时间: 2010-01-01
• 期刊: BEHAVIORAL NEUROBIOLOGY OF ANXIETY AND ITS TREATMENT
• 作者: Merikangas, Kathleen Ries;Swanson, Sonja Alsemgeest
• 通讯作者: Swanson, Sonja Alsemgeest

Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis.

• DOI: 10.1001/jama.2009.878
• 发表时间: 2009-06-17
• 期刊: JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
• 影响因子: 120.7
• 作者: Risch, Neil;Herrell, Richard;Lehner, Thomas;Liang, Kung-Yee;Eaves, Lindon;Hoh, Josephine;Griem, Andrea;Kovacs, Maria;Ott, Jurg;Merikangas, Kathleen Ries
• 通讯作者: Merikangas, Kathleen Ries