Poly-omic predictors of symptom duration and recovery for adolescent concussion
青少年脑震荡症状持续时间和恢复的多组学预测因子
基本信息
- 批准号:10323290
- 负责人:
- 金额:$ 67.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-01-01 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:21 year oldAcuteAdolescentAgeAlgorithmsAthleticBerlinBiologicalBiological TestingBrainBrain ConcussionCaringCenters for Disease Control and Prevention (U.S.)Cerebrospinal FluidChildChildhoodChildhood InjuryChronicClinicalClinical ManagementClinical assessmentsCohort StudiesCollaborationsConsensusEmergency MedicineEnrollmentEquipment and supply inventoriesFactor AnalysisFamilyFollow-Up StudiesGenetic TranscriptionGoalsGuidelinesHourInjuryLearningMeasuresMediatingMedicalMethodsMicroRNAsModelingMolecularMolecular BiologyMolecular ProfilingMulticenter StudiesNeurogliaNeuronsOlfactory NerveOropharyngealOutcomeParticipantPatient Self-ReportPatientsPediatric NeurologyPerformancePeripheralPharmacological TreatmentPhenotypePhysiciansPilot ProjectsPlayPost-Concussion SyndromePrognosisPsychiatric Social WorkPsychological FactorsPsychologyPublishingRNAReaction TimeRecommendationRecoveryReportingResearchResearch PersonnelRiskSalivaSchoolsSensitivity and SpecificitySerumSeveritiesStandardizationSurveysSymptomsTBI treatmentTechniquesTechnologyTestingTimeTrainingUntranslated RNAValidationWorld Health Organizationbrain repairclinical applicationcohortconcussive symptomexosomeexperiencefeature selectioninnovationmild traumatic brain injurymultidisciplinarymultiplex assayneurobehavioralpatient subsetspediatric patientspersonalized managementprediction algorithmpredictive modelingpredictive testprotein expressionpsychologicrepairedresponseresponse to brain injuryreturn to sportsaliva samplesocialsocial factorssuccesstooltranscriptomics
项目摘要
PROJECT SUMMARY
There are nearly three million mild traumatic brain injuries (mTBIs) in the U.S. each year, and most occur in
patients less than 21 years of age. Clinical assessment of mTBI relies on symptom surveys that cannot
accurately predict the duration of symptoms or objectively identify brain recovery. A biologic test would allow
physicians to provide individualized recommendations for school and athletics participation, prescribe timely
pharmacologic treatments, or initiate early psychosocial services in patients at risk for persistent post-
concussion symptoms (PPCS). Non-coding ribonucleic acids (ncRNAs), such as microRNAs, are epi-
transcriptional molecules that are altered in patients with mTBI. They can be measured in peripheral biofluids
such as serum, or even saliva. Our previous research demonstrates that ncRNA changes in cerebrospinal fluid
are reflected in saliva, and that saliva ncRNA levels can predict PPCS. Validation of these findings in a large,
independent cohort could yield a biologic measure of PPCS risk (Aim 1), and guide individualized clinical
management decisions (Aim 2). This scientific premise forms the basis for our proposed multi-center study. We
will enroll 750 adolescents (ages 13-18 years) with mTBI, defined by the World Health Organization and Berlin
Consensus Criteria. We will measure levels of saliva ncRNAs enriched in neuronal and glial exosomes at
acute (<48 hours), sub-acute (7 days), and chronic (30 days) post-injury time points. PPCS will be defined by
persistence of ≥ 3 symptoms on day 30 (compared with pre-injury state, determined by the Post-Concussion
Symptom Inventory; PCSI). In 250 participants (training set), we will use a LASSO technique to refine a
multivariate model, that employs acute and sub-acute ncRNA levels, along with clinical, social, and
psychologic factors, to predict PPCS (while controlling for biologic covariates). Accuracy of the model will be
externally validated in the remaining 500 participants (test set). Sensitivity and specificity will be compared to
the validated “5P” clinical prediction tool. We will also examine the relationships between concussive symptom
phenotypes and ncRNA levels with a factor analysis and hierarchical clustering. In Aim 2, we will use LASSO
in a training set (n=250) to refine a second multivariate model, that uses acute and chronic ncRNA levels,
along with clinical, social, and psychologic factors to identify concussion recovery. Recovery will be defined by
self-report of “no difference from pre-injury” on the PCSI. Accuracy of the model will be externally validated in
the test set, and compared to the accuracy of reaction time performance across acute and chronic time points.
Our multi-disciplinary team includes experts in pediatrics, neurology, molecular biology, psychology, and
emergency medicine with a published track record of collaboration and the expertise necessary for this
proposal’s success. The study will yield an objective measure of PPCS risk, concussion phenotype, and
clinical recovery. When paired with medical, social, and psychologic assessments, this technology will allow
researchers to study mTBI therapies in biologically-defined patient subsets and personalize concussion care.
项目概要
美国每年有近 300 万起轻度创伤性脑损伤 (mTBI),其中大多数发生在
21 岁以下的患者的 mTBI 临床评估依赖于症状调查,但不能
生物测试可以准确预测症状的持续时间或客观地确定大脑的恢复情况。
医生为学校和运动参与提供个性化建议,及时开处方
药物治疗,或对有持续性后遗症风险的患者启动早期心理社会服务
脑震荡症状 (PPCS) 非编码核糖核酸 (ncRNA),例如 microRNA,是表观-
mTBI 患者中发生改变的转录分子可以在外周生物液中进行测量。
例如血清,甚至唾液,我们之前的研究表明,脑脊液中的 ncRNA 会发生变化。
反映在唾液中,唾液 ncRNA 水平可以预测 PPCS,这些结果在大量数据中得到验证。
独立队列可以产生 PPCS 风险的生物学测量(目标 1),并指导个体化临床
这一科学前提构成了我们提出的多中心研究的基础。
将招募 750 名患有 mTBI(由世界卫生组织和柏林定义)的青少年(年龄 13-18 岁)
我们将测量富含神经和神经胶质外泌体的唾液 ncRNA 水平。
急性(<48小时)、亚急性(7天)和慢性(30天)PPCS将由损伤后时间点定义。
第 30 天持续存在 ≥ 3 种症状(与受伤前状态相比,由脑震荡后评估结果确定)
症状清单;在 250 名参与者(训练集)中,我们将使用 LASSO 技术来完善
多变量模型,采用急性和亚急性 ncRNA 水平,以及临床、社会和
心理因素,以预测 PPCS(同时控制生物协变量)。
将与其余 500 名参与者(测试集)进行外部验证的敏感性和特异性进行比较。
我们还将研究经过验证的“5P”临床预测工具。
通过因子分析和层次聚类分析表型和 ncRNA 水平 在目标 2 中,我们将使用 LASSO。
在训练集中 (n=250) 细化第二个多变量模型,该模型使用急性和慢性 ncRNA 水平,
结合临床、社会和心理因素来确定脑震荡恢复情况。
PCSI 上“与受伤前没有差异”的自我报告将在外部进行验证。
测试集,并与急性和慢性时间点的反应时间表现的准确性进行比较。
我们的多学科团队包括儿科、神经病学、分子生物学、心理学和
具有公开的合作记录和必要的专业知识的急诊医学
该研究的成功将得出 PPCS 风险、脑震荡表型和
当与医学、社会和心理评估相结合时,这项技术将允许临床康复。
研究人员在生物学定义的患者亚群中研究 mTBI 疗法并个性化脑震荡护理。
项目成果
期刊论文数量(0)
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Steven Daniel Hicks其他文献
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{{ truncateString('Steven Daniel Hicks', 18)}}的其他基金
Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC)
将唾液转录组学和蛋白质组学与多神经网络智能相结合用于儿童 SARS-CoV2 感染的严重程度预测 (SPITS MISC)
- 批准号:
10273618 - 财政年份:2021
- 资助金额:
$ 67.68万 - 项目类别:
Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC)
将唾液转录组学和蛋白质组学与多神经网络智能相结合用于儿童 SARS-CoV2 感染的严重程度预测 (SPITS MISC)
- 批准号:
10733697 - 财政年份:2021
- 资助金额:
$ 67.68万 - 项目类别:
Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC)
将唾液转录组学和蛋白质组学与多神经网络智能相结合用于儿童 SARS-CoV2 感染的严重程度预测 (SPITS MISC)
- 批准号:
10320490 - 财政年份:2021
- 资助金额:
$ 67.68万 - 项目类别:
Severity Predictors Integrating salivary Transcriptomics and proteomics with Multi neural network Intelligence in SARS-CoV2 infection in Children (SPITS MISC)
将唾液转录组学和蛋白质组学与多神经网络智能相结合用于儿童 SARS-CoV2 感染的严重程度预测 (SPITS MISC)
- 批准号:
10847809 - 财政年份:2021
- 资助金额:
$ 67.68万 - 项目类别:
Poly-omic predictors of symptom duration and recovery for adolescent concussion
青少年脑震荡症状持续时间和恢复的多组学预测因子
- 批准号:
10552597 - 财政年份:2020
- 资助金额:
$ 67.68万 - 项目类别:
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