Epigenetic Age Acceleration and Psychoneurological Symptoms in Sickle Cell Disease
Epigenetic Age Acceleration and Psychoneurological Symptoms in Sickle Cell Disease
批准号:
10594523
负责人:
ALLISON E ASHLEY-KOCH
金额:
$20.13万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-03-18 至 2024-02-29
关键词:
AccelerationAdultAffectAgeAgingAssessment toolBiologicalBiological FactorsBiological MarkersBlack PopulationsBloodBlood specimenCell AgingCessation of lifeCharacteristicsChronicChronic DiseaseChronologyCross-Sectional StudiesDNADNA MethylationDataData ReportingData SetDevelopmentDiscriminationEpigenetic ProcessGenerationsGoalsHealthHealth PromotionHealth StatusImpaired cognitionIndividualInflammationInterventionLongevityMaintenanceMeasuresMethodsMethylationMolecularMood DisordersOutcomeOxidative StressPainPatient Outcomes AssessmentsPatient Self-ReportPatientsPersonsPhysiological ProcessesPopulationProcessQuality of lifeReduce health disparitiesRegistriesReportingResearchRisk AssessmentSamplingSickle Cell AnemiaSleep disturbancesStrategic PlanningStressSymptomsTissuesUnderrepresented PopulationsUnited StatesUniversitiesVariantcognitive functiondepressive symptomsdesignexperiencehealth disparityhigh riskimmunosenescenceinsightinter-individual variationinterestmethylation patternmitochondrial dysfunctionmortalitynovelprematurepsychosocialracismsocial determinants
中文摘要
项目总结
患有镰状细胞病(SCD)的人会出现有害的精神神经症状,如疼痛、
睡眠障碍、抑郁症状和认知障碍。在这些症状中,有一个值得注意的
个体间的变异性。很少有研究试图研究为什么有些人的情况会更糟
精神神经症状比其他人更多。识别生物因素,如表观遗传机制
影响SCD症状经验的变异性,有助于风险评估的发展
促进健康维护、生活质量和减少健康差距的工具和干预措施
人口。最近的证据表明,一个人的表观遗传年龄可能与
SCD患者的精神神经症状体验。表观遗传年龄是通过评估DNA甲基化来计算的
许多CpG基因座的模式,解释了细胞衰老或组织功能下降的速度。
过早的表观遗传年龄加速可能涉及许多生理过程,包括增加
炎症、氧化应激和线粒体功能障碍。与表观遗传年龄加速的关系
在其他慢性病人群中的精神神经症状体验最近
已确认身份。然而,表观遗传年龄加速是否发生以及是否与这些症状有关
SCD患者仍不清楚。这项横断面研究的具体目的是:1)描述
表观遗传老化DNA甲基化模式和确定表观遗传年龄加速的存在和2)
确定表观遗传年龄加速与心理神经症状(疼痛、睡眠)之间的关系
精神障碍、抑郁症状和认知功能)。DNA样本和病人-
杜克大学已经作为镰状细胞疾病联盟的一部分收集了报告的结果数据
本研究将使用研究登记处(n=92)。DNA甲基化数据将从提取的
血液样本的DNA并用于计算表观遗传年龄。因为不同的表观遗传时钟提供了
表观老化的不同度量和特征,表观年龄加速将使用
三个表观遗传钟(Horvath、Hannum和Levine)。我们还将检查计算是否来自
样本中的每个时钟都是相关的。存在的每个感兴趣的症状的患者报告数据
SCDIC注册表将用于确定与表观遗传年龄加速的关联
表观遗传时钟。这项“高风险、高回报”的研究可能为表观遗传衰老生物标记物提供新的视角
与SCD患者的症状发展和健康结局相关,代表不足
人口。生成的数据对于设计严谨和充足动力的R01研究是必不可少的
了解多层次因素的相互作用(例如,表观遗传年龄加速、社会决定因素等
例如歧视和种族主义),造成了这一人群的症状负担和健康差距。
英文摘要
PROJECT SUMMARY
Individuals with sickle cell disease (SCD) experience deleterious psychoneurological symptoms, such as pain,
sleep disturbances, depressive symptoms, and cognitive impairment. Among these symptoms, there is notable
interindividual variability. Few studies have sought to examine why some individuals experience worse
psychoneurological symptoms than others. Identifying biological factors, such as epigenetic mechanisms that
influence the variability of symptom experiences in SCD, can help inform the development of risk assessment
tools and interventions that promote health maintenance, quality of life, and reduce health disparities in this
population. Recent evidence has converged to suggest a person's epigenetic age may be associated with
psychoneurological symptom experiences in SCD. Epigenetic age is calculated by assessing DNA methylation
patterns at numerous CpG loci that account for the pace of cellular aging or declining tissue function.
Premature epigenetic age acceleration putatively involves many physiologic processes, including increased
inflammation, oxidative stress, and mitochondrial dysfunction. Associations with epigenetic age acceleration
and psychoneurological symptom experiences in other chronic disease populations has recently been
identified. However, whether epigenetic age acceleration occurs and if it is associated with these symptoms in
individuals with SCD remains unknown. The specific aims of this cross-sectional study are to 1) characterize
epigenetic aging DNA methylation patterns and determine presence of epigenetic age acceleration and 2)
identify associations between epigenetic age acceleration and psychoneurological symptoms (pain, sleep
disturbances, depressive symptoms, and cognitive function) in adults with SCD. DNA samples and patient-
reported outcome data already collected at Duke University as part of the Sickle Cell Disease Consortium
Research Registry (n=92) will be used in this study. DNA methylation data will be generated from the extracted
DNA of blood specimens and used to calculate epigenetic age. Because different epigenetic clocks provide
different measures and characteristics of epigenetic aging, epigenetic age acceleration will be calculated using
three epigenetic clocks (Horvath, Hannum, and Levine). We will also examine whether the calculations from
each of the clocks are correlated in the sample. Patient-reported data for each symptom of interest existing in
the SCDIC Registry will be used to determine associations with epigenetic age acceleration for each of the
epigenetic clocks. This “high risk, high return” study may provide novel insight into epigenetic aging biomarkers
associated with symptom development and health outcomes in people with SCD, an underrepresented
population. The data generated is essential for designing a rigorous and adequately powered R01 study to
understand the interactions of multiple level factors (e.g., epigenetic age acceleration, social determinants such
as discrimination and racism) that contribute to symptom burden and health disparities in this population.
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Epigenetic Age Acceleration and Psychoneurological Symptoms in Sickle Cell Disease
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