grant

The Inflammatory Index as a Biomarker for Pain in Patients with Sickle Cell Disease

Organization MEDICAL COLLEGE OF WISCONSINLocation MILWAUKEE, UNITED STATESPosted 26 Sept 2019Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY2024Acute PainAffectAnalgesia TestsAssayB-globinBioassayBiological AssayBiological MarkersBiological Response ModifiersBiologyBiomodulatorsBlood PlasmaCell BodyCell Communication and SignalingCell SignalingCellsChemotactic CytokinesChronicClinicalClinical TrialsComplexComplicationDataGene TranscriptionGenesGenetic AlterationGenetic ChangeGenetic TranscriptionGenetic defectGoalsHb SS diseaseHbSS diseaseHealthHealth Care UtilizationHemoglobin SHemoglobin S DiseaseHemoglobin sickle cell diseaseHemoglobin sickle cell disorderHemoglobinopathiesHemolysisHereditaryHeterogeneityHomologous Chemotactic CytokinesIMiDImmuneImmune MediatorsImmune Mediators/ModulatorsImmune RegulatorsImmune modulatory therapeuticImmune systemImmunesImmunomodulationInflammationInflammation MediatorsInflammatoryInflammatory ResponseInheritedIntercrinesIntracellular Communication and SignalingIschemia-Reperfusion InjuryLinkLipidsMeasuresMutationNetwork AnalysisNociception TestsOntologyPainPain AssessmentPain ControlPain MeasurementPain ResearchPain TherapyPain managementPain measurePainfulPathway AnalysisPatient Outcomes AssessmentsPatient Reported MeasuresPatient Reported OutcomesPatientsPatternPersonsPhasePlasmaPlasma SerumPopulationPrognostic MarkerRNA ExpressionRecurrenceRecurrentRecurrent painRegulator GenesReperfusion DamageReperfusion InjuryReporterResearchReticuloendothelial System, Serum, PlasmaSIS cytokinesSickle Cell AnemiaSickle HemoglobinSignal TransductionSignal Transduction SystemsSignalingTestingTrainingTranscriptTranscriptionTranscriptional Regulatory ElementsUnited StatesValidationWorkbeta Globinbio-markersbiologic markerbiological signal transductionbiomarkerchemoattractant cytokinechemokineclinical heterogeneityclinical paincohortcytokinedebilitating paindifferential expressiondifferentially expressedeffective therapyeffective treatmenterythrolysisexperiencegenome mutationgenome scalegenome-widegenomewidehealth care service usehealth care service utilizationhealthcare service usehealthcare service utilizationhealthcare utilizationimmune modulating agentsimmune modulating drugimmune modulating therapeuticsimmune modulationimmune modulatory agentsimmune modulatory drugsimmune regulationimmunologic reactivity controlimmunomodulating agentsimmunomodulating drugsimmunomodulator agentimmunomodulator drugimmunomodulator medicationimmunomodulator prodrugimmunomodulator therapeuticimmunomodulatoryimmunomodulatory agentsimmunomodulatory biologicsimmunomodulatory drugsimmunomodulatory therapeuticsimmunoregulationimmunoregulatoryinclusion criteriaindexingindividual heterogeneityindividual variabilityindividual variationinflammatory environmentinflammatory mediatorinflammatory milieuinter-individual variabilityinter-individual variationinterindividual variabilityinterindividual variationmultidisciplinarynovelpain assaypain treatmentprognosticprognostic biomarkerprognosticationprospectiveregulatory generesponsesickle cell diseasesickle cell disordersickle diseasesicklemiatrans acting elementtranscriptional differencesvalidationsβ-globin
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Full Description

PROJECT SUMMARY/ABSTRACT
The overall goal of this proposed research is to develop a biomarker that prognosticates and correlates with

the clinical expression of pain in sickle cell disease (SCD). Severe, debilitating pain is the most common

complication of SCD, an inherited hemoglobinopathy affecting approximately 100,000 people in the United

States. Despite the known genetic defect, there is significant variability in pain expression in patients with SCD.

Clinically, some patients experience frequent and recurrent pain while others experience pain only

occasionally. Currently, there is no plasma biomarker, linked to pain biology, that can prognosticate patients

who are likely to experience more pain than other patients. The lack of a prognostic biomarker for pain is a

barrier to targeted, personalized pain treatment. SCD is associated with chronic inflammation with elevated

inflammatory mediators (e.g. cytokines, chemokines, lipids) at baseline that increase further during acute pain.

However, the degree of inflammation is likely highly variable among patients. Multiple factors, including

ongoing effects of recurrent vaso-occlusion, ischemia-reperfusion injury, and hemolysis contribute to SCD

inflammation and pain. This project is centered on the concept that pain in SCD is heterogeneous and driven

by a complex milieu of inflammatory effectors and immune regulators. A prognostic biomarker that

quantitatively and comprehensively assesses the combination of these immune effectors and regulators and

correlates with pain in SCD will fill a significant gap in SCD pain research. Ideally, such a biomarker could

provide prognostic data and define inclusion criteria for pain clinical trials of immunomodulatory drugs. The

following aims are proposed for the R61 Phase: 1) Derive the inflammatory index (I.l.com) for pain in patients

with SCD by identifying inflammatory and immune regulatory gene probe sets that will optimally distinguish

healthy controls, patients with SCD in baseline health, and patients with SCD in acute pain and 2) Determine

whether co-expressed gene modules from patients with SCD correlate with clinical pain data and are

concordant with genes included in the I.I.com. Subsequently, the following aims are proposed for the R33

Phase: 1) Determine the reliable and clinically meaningful changes of the I.I.com in patients with SCD and 2)

Investigate the preliminary clinical validity of the I.I.com as a prognostic biomarker for pain in patients with SCD.

Our collaborative and multidisciplinary team brings research expertise in SCD pain biology, inflammation, and

SCD patient-reported outcomes. Our proposed work will refine, replicate and validate the I.I.com as a prognostic

biomarker for SCD pain.

Grant Number: 5R33NS114954-03
NIH Institute/Center: NIH

Principal Investigator: Amanda Brandow

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