Developing biomarkers of healing and non-healing VLUs
开发愈合和非愈合 VLU 的生物标志物
基本信息
- 批准号:10786898
- 负责人:
- 金额:$ 37.15万
- 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:2023-09-18 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:AgingAlginatesAreaBiocompatible MaterialsBiological MarkersBiologyCaringChronicClassificationClinicalDataDetectionDevelopmentDiabetic Foot UlcerEnrollmentEnzyme-Linked Immunosorbent AssayEquipmentExclusionExhibitsExudateFreezingFunctional disorderFutureHealth ProfessionalHealthcare SystemsImageLeg UlcerLiquid substanceLocationMass Spectrum AnalysisMeasurementMeasuresMethodologyMethodsMethylcelluloseMolecularMonitorOutcomePatient CarePatientsPhasePhysiologyPopulationPrognostic MarkerProteinsProteomeProteomicsProtocols documentationRecurrenceReproducibilitySample SizeSet proteinSourceStandardizationSterile coveringsTestingTimeTreatment outcomeUlcerValidationVenousVenous InsufficiencyVisitacute woundaggressive therapybiomarker developmentchronic ulcerchronic woundclinical careclinically relevantcostdetection methoddiagnostic tooldigitalevidence basehealinghigh dimensionalityimprovedimproved outcomeindividualized medicineinsightinterestmolecular dynamicsnovel markerpersonalized approachprecision medicinepredict clinical outcomepredictive markerproduct developmentprognosticprospectiveprotein biomarkersreal time monitoringresponders and non-responderssmart bandagestandard carestandard of caretoolwoundwound bedwound carewound dressingwound healing
项目摘要
Project Summary
This project proposes to use wound fluid analyses captured from discarded wound dressings to develop
biomarkers that can predict healing outcome and monitor healing progression of Venous Leg Ulcers (VLUs).
VLUs represent a specific case of chronic ulcers occurring in the gaiter area in the setting of chronic venous
insufficiency and account for about 70% of all chronic leg ulcers. Considering the aging of the population a
concerning picture emerges: more ulcers occurring in sicker patients which are ever more expensive to treat.
Despite recent advances, more than 50% of patients with VLUs fail to heal with standard care. One of the major
obstacles to improving outcomes is the inability to predict early on who will and who will not respond to standard
of care. Therefore, there is an urgent and unmet need to predict healing outcomes and to differentiate healing
from non-healing VLUs. Due to dynamic molecular changes within the wound, its microenvironment can be
tested and monitored, which offers an opportunity to obtain key information regarding the status of wound
biology. Moreover, quantification of such molecular changes that reflect wound healing status would provide
important tools that can guide treatment approach, directly impacting the clinical outcomes. Thus, both predictive
and monitoring biomarkers are needed to enable prospective tailoring of therapies to efficiently: 1) maximize the
treatment outcomes, 2) target more aggressive treatment to only those patients who need it and 3) develop
personalized approaches to each VLU. In the initial discovery phase, we will enroll 30 VLU patients (10 healers
and 20 non-healers) to identify a set of protein biomarkers that predict healing outcomes (Aim 1); those that can
serve as monitoring biomarkers (Aim 2). We will extract wound fluid from discarded wound dressings and quantify
proteins by using mass spectrometry (LC-MS/MS) and correlate them to healing outcomes at week 4. We have
generated preliminary data that support feasibility of the overall approach and confirm that wound dressings
(either analyzed in real time or stored frozen) of any type can be utilized for biomarker quantification. We have
also identified spatially distinct localization of molecules at the center vs perimeter of the wound dressing,
resulting in specific profiles that reflect the biology of the wound bed and wound edge respectively. This project
will provide a unique opportunity to capitalize on easy access of discarded wound dressings as a source of
wound biomaterial (exudate) that can serve for biomarker detection. It will not only identify and validate specific
set of biomarkers that can predict healing outcome and/or monitor healing progression but will also provide
streamlined method of detection that can be readily implemented.
项目总结
项目成果
期刊论文数量(0)
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Ivan Jozic其他文献
Ivan Jozic的其他文献
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