Metabolic Biomarkers for Fibromyalgia
纤维肌痛的代谢生物标志物
基本信息
- 批准号:10698038
- 负责人:
- 金额:$ 30.66万
- 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:2020-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:6-phosphogluconateAddressAerobicAffectBasic ScienceBiologicalBiological MarkersBlood specimenCarpal Tunnel SyndromeCellular Metabolic ProcessCerebrospinal FluidCitric AcidClinicalClinical TrialsCohort StudiesComplexCysteineDataData CollectionDegenerative polyarthritisDevelopmentDiagnosisDiagnosticDiagnostic testsDiseaseEarly treatmentEnergy MetabolismEvaluationFatigueFibromyalgiaFumaratesFundingGoalsHumanHydration statusHydrogenIndividualInstitutionInvestigationMagnesiumMalate DehydrogenaseMalatesMetabolicMetabolic PathwayMichiganNicotinamide adenine dinucleotideOxaloacetatesPainPathogenicityPatient Self-ReportPatientsPhenotypePhysical FunctionPhysiciansPlasmaPopulationPrimary FibromyalgiasProcessProductionProteomicsPsychological FactorsROC CurveResearchRheumatoid ArthritisRoleSamplingSecondary FibromyalgiasSensitivity and SpecificitySeverity of illnessSiteSleepSleep DisordersSpecificitySymptomsTestingTherapeuticUnited States National Institutes of HealthUniversitiesWomanassociated symptombiosignaturecandidate markercandidate validationchronic painchronic painful conditioncohortdesigndiagnostic criteriadisabilitydisease phenotypeimprovedimproved outcomeinflammatory painintervention effectmetabolomicsmultidisciplinarynovelopen labeloxidationpainful neuropathyphenotypic datapotential biomarkerspecific biomarkerstherapeutic biomarkertherapeutic target
项目摘要
Project Summary
Fibromyalgia (FM) is a complex condition characterized by widespread pain and fatigue that is associated with
sleep dysfunction and reduced function that affects 2-4% of the population (Heidari et al., 2017). Current 2016
diagnostic criteria are by symptomology only, as there are no validated chronic pain biomarkers to assist with
diagnosis, or treatment evaluation endpoints (Wolfe et al., 2016). Diagnosing FM often takes years with
patients seeing multiple physicians, which delays treatment (Choy, 2010). This delayed diagnosis and
treatment initiation would be dramatically reduced with the identification of FM biomarkers. The long-term goal
of this line of research is to identify unique biomarkers for FM to improve the diagnosis and/or develop
therapeutic targets for individuals with widespread pain. Using a semi-targeted metabolomics approach, our
preliminary data from women with FM (n=59), compared to healthy controls (n=38), show 18 potential
candidates that differ significantly between cohorts with several metabolites showing good-excellent sensitivity
(>90%) and specificity (>90%). The primary goal of this proposed research is to assess and validate
candidate metabolic biomarkers in a new, larger cohort of individuals and compared to other chronic pain
populations. The proposed study will use a multi-site, cross-sectional design to identify and characterize
metabolic biomarkers, biosignatures, and their associations with multiple symptomology domains to address
the following two specific aims: Aim 1: We will characterize diagnostic test metrics for candidate biomarkers
using receiver operating curves (ROCs), i.e. sensitivity and specificity, and test-retest reliability, to correctly
identify individuals with FM from healthy controls and other chronic pain conditions: osteoarthritis, carpal tunnel
syndrome, and rheumatoid arthritis. Aim 2: We will determine associations between putative metabolic
biomarkers and multiple self-reported symptom domains in those with FM: a) pain; b) fatigue; c) sleep; d)
physical function; e) psychological factors, and f) disease impact/disability. We have identified several
promising metabolic biomarkers that may serve as diagnostic or within-disease phenotype identifiers. Once
completed, we will examine potential mechanistic and therapeutic targets for the candidate biomarkers in
subsequent studies. These novel studies have the potential to identify a diagnostic, and potentially a
therapeutic, biomarker of FM associated with cell metabolism. To accomplish this study, we have developed a
strong multidisciplinary and multi-site team, leveraging blood samples and phenotype data collected as part of
an on-going funded study, as well as additional data collection for repeatability analyses. The study team has
the necessary expertise in human, basic science and metabolomics investigations to successfully complete
these aims.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Laura A Frey Law其他文献
Laura A Frey Law的其他文献
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{{ truncateString('Laura A Frey Law', 18)}}的其他基金
Metabolic Biomarkers for Fibromyalgia: Administrative Supplement
纤维肌痛的代谢生物标志物:行政补充
- 批准号:
10861142 - 财政年份:2020
- 资助金额:
$ 30.66万 - 项目类别:
Phenotyping Evoked Central Sensitivity to Painful Stimuli
表型诱发中枢对疼痛刺激的敏感性
- 批准号:
8700651 - 财政年份:2014
- 资助金额:
$ 30.66万 - 项目类别:
Phenotyping Evoked Central Sensitivity to Painful Stimuli
表型诱发中枢对疼痛刺激的敏感性
- 批准号:
8813536 - 财政年份:2014
- 资助金额:
$ 30.66万 - 项目类别:
Genetic and Trait Influences on Pain Heterogeneity
遗传和性状对疼痛异质性的影响
- 批准号:
8289500 - 财政年份:2009
- 资助金额:
$ 30.66万 - 项目类别:
Genetic and Trait Influences on Pain Heterogeneity
遗传和性状对疼痛异质性的影响
- 批准号:
8494412 - 财政年份:2009
- 资助金额:
$ 30.66万 - 项目类别:
Genetic and Trait Influences on Pain Heterogeneity
遗传和性状对疼痛异质性的影响
- 批准号:
7926969 - 财政年份:2009
- 资助金额:
$ 30.66万 - 项目类别:
Genetic and Trait Influences on Pain Heterogeneity
遗传和性状对疼痛异质性的影响
- 批准号:
8109196 - 财政年份:2009
- 资助金额:
$ 30.66万 - 项目类别:
Genetic and Trait Influences on Pain Heterogeneity
遗传和性状对疼痛异质性的影响
- 批准号:
7739946 - 财政年份:2009
- 资助金额:
$ 30.66万 - 项目类别:
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