Epigenetic Biomarkers of Postpartum Psychosis
产后精神病的表观遗传生物标志物
基本信息
- 批准号:10722691
- 负责人:
- 金额:$ 45.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-08-02 至 2025-08-01
- 项目状态:未结题
- 来源:
- 关键词:AcuteAlgorithmsBasic ScienceBiological MarkersBipolar DisorderBloodBlood specimenBrainCLIA certifiedChildbirthClinicalClinical ResearchConfusionContraceptive UsageDNADeliriumDepressed moodDiseaseEpigenetic ProcessEtiologyEventGenesGeneticHigh Risk WomanHormonalHormonal ChangeHospitalizationImmuneIndividualInfanticideLuteal PhaseMachine LearningManicMental DepressionMental disordersMicroarray AnalysisMissionModelingModificationMood DisordersMoodsNational Institute of Mental HealthNetherlandsOnset of illnessPatientsPerimenopausePostpartum DepressionPostpartum PeriodPredispositionPregnancyPreventionPreventive measurePsychosesPublishingRecoveryRiskSamplingSpecificitySpecimenSuicideSymptomsThird Pregnancy TrimesterTimeWomanWorkbead chipbiomarker identificationblood-based biomarkercandidate markercohortcomparison controldepressive symptomsepigenetic markerexperiencegenome wide methylationgenome-widehormonal contraceptionimprovedmethylation patternmood symptomnovelpredictive markerpremenstrual dysphoric disorderpreventpsychiatric emergencypsychosis riskpsychoticreproductivereproductive hormonerisk predictionsample collectionsodium bisulfitespecific biomarkerssuicidal risksupport vector machine
项目摘要
Abstract
Reproductive mood episodes, such as postpartum depression, premenstrual dysphoric disorder and
postpartum psychosis, are mood episodes triggered by reproductive hormonal changes in women. We have
previously identified two epigenetic biomarkers of postpartum depression at the TTC9B and HP1BP3 genes
that are approximately 80% accurate in predicting which women will be depressed in the postpartum time-
period. We have recently shown that these biomarkers are also associated with women that have premenstrual
dysphoric disorder when blood is sampled in the luteal phase of the menstrual cycle indicating that they may
be more general biomarkers of brain sensitivity to reproductive hormone fluctuations. This proposal will take
advantage of a unique sample of blood specimens collected in the Netherlands from women with Postpartum
Psychosis and will determine if our epigenetic biomarkers are also associated with Postpartum Psychosis. We
will also conduct a genome wide microarray analyses in order to identify epigenetic biomarkers that are
specific to Postpartum Psychosis. Postpartum psychosis is a serious psychiatric illness with acute onset in the
immediate postpartum time period. Postpartum Psychosis almost always requires psychiatric hospitalization
and carries with it an elevated risk of suicide and infanticide. Identification of blood-based biomarkers that are
predictive of an increased risk for Postpartum Psychosis would allow for preventative measures which may
eliminate a psychiatric emergency and prevent hospitalization during the critical postpartum time period.
摘要
生殖情绪发作,如产后抑郁症、经前焦虑症和
产后精神病,是由女性生殖激素变化引发的情绪发作。我们有
此前在TTC9B和HP1BP3基因上发现了两个产后抑郁症的表观遗传生物标志物
预测哪些女性产后会抑郁的准确率约为80%-
句号。我们最近发现,这些生物标志物也与有经前症状的女性有关。
在月经周期的黄体期采血时出现的烦躁不安的疾病,表明他们可能
成为大脑对生殖激素波动敏感的更通用的生物标志物。这项建议将需要
在荷兰从产后妇女身上采集独特血样的优势
并将确定我们的表观遗传生物标记物是否也与产后精神病有关。我们
还将进行全基因组微阵列分析,以识别表观遗传生物标记物
专门针对产后精神病。产后精神病是一种严重的精神疾病,急性发作于
产后即刻时间段。产后精神病几乎总是需要精神科住院治疗
随之而来的是自杀和杀婴的风险增加。基于血液的生物标记物的鉴定
预测产后精神病的风险增加将允许采取预防措施,这可能
消除精神急症,防止在产后的关键时期住院。
项目成果
期刊论文数量(0)
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{{ truncateString('JENNIFER L PAYNE', 18)}}的其他基金
Genetics of Postpartum Depression in Affective Disorders
情感障碍产后抑郁症的遗传学
- 批准号:
7348299 - 财政年份:2007
- 资助金额:
$ 45.11万 - 项目类别:
Genetics of Postpartum Depression in Affective Disorders
情感障碍产后抑郁症的遗传学
- 批准号:
8014933 - 财政年份:2007
- 资助金额:
$ 45.11万 - 项目类别:
Genetics of Postpartum Depression in Affective Disorders
情感障碍产后抑郁症的遗传学
- 批准号:
7561750 - 财政年份:2007
- 资助金额:
$ 45.11万 - 项目类别:
Genetics of Postpartum Depression in Affective Disorders
情感障碍产后抑郁症的遗传学
- 批准号:
7210838 - 财政年份:2007
- 资助金额:
$ 45.11万 - 项目类别:
Genetics of Postpartum Depression in Affective Disorders
情感障碍产后抑郁症的遗传学
- 批准号:
7771695 - 财政年份:2007
- 资助金额:
$ 45.11万 - 项目类别:
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