Victoria Soto, Veronika Jurczuk, Lilian Valadares Tose, Christian Alcalde Pretel, Victoria Garcia, Leah Farhadi, Sujad Younis, Natasa Strbo, Ahmed Hawash, Oliver Umland, Matthew Hardy, Carlos E Arteta Higgins, Jason Levine, Juan Bravo, Brian Eliceiri, Jennifer C Tang, Jose A Jaller, Hadar Lev-Tov, Vladimir Pozdin, Luis Rodriguez-Menocal, Evangelos Badiavas, Robert S Kirsner, Francisco A Fernandez Lima, Ivan Jozic
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Here, we present a novel, non-invasive proteomic approach that leverages routinely discarded wound dressings to profile the wound microenvironment across soluble, cellular, and extracellular vesicle (EV) compartments. Using a cohort of patients with DFU and VLU (n = 16), we performed spatially resolved, longitudinal sampling over 4 weeks and identified distinct proteomic signatures associated with healing versus non-healing outcomes. Mass spectrometry revealed more than 1000 unique proteins from viable cells and EVs as well as 489 proteins identified from soluble wound fluid. Our methodology captured immune cell phenotypes, enabling insight into tissue-specific immune responses without the need for biopsy. Longitudinal surveillance revealed patient-specific protein trajectories that correlated with wound size changes, supporting the feasibility of biomarker-based monitoring. Notably, differences in keratinocyte activation markers, acute-phase proteins, and EV-associated stress proteins distinguished healing from non-healing wounds. These findings demonstrate the utility of discarded dressings as a rich, untapped source of diagnostic and prognostic biomarkers. This platform has strong potential to inform future \"smart\" wound care technologies, including dressings capable of real-time biosensing or therapeutic EV delivery. Larger validation studies will be essential to translate these findings into clinical tools for precision wound care.</p>","PeriodicalId":18712,"journal":{"name":"Molecular & Cellular Proteomics","volume":" ","pages":"101058"},"PeriodicalIF":5.5000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12475851/pdf/","citationCount":"0","resultStr":"{\"title\":\"Turning Waste Into Insight: A Novel Proteomic Approach to Non-Invasive Wound Biomarker Discovery.\",\"authors\":\"Victoria Soto, Veronika Jurczuk, Lilian Valadares Tose, Christian Alcalde Pretel, Victoria Garcia, Leah Farhadi, Sujad Younis, Natasa Strbo, Ahmed Hawash, Oliver Umland, Matthew Hardy, Carlos E Arteta Higgins, Jason Levine, Juan Bravo, Brian Eliceiri, Jennifer C Tang, Jose A Jaller, Hadar Lev-Tov, Vladimir Pozdin, Luis Rodriguez-Menocal, Evangelos Badiavas, Robert S Kirsner, Francisco A Fernandez Lima, Ivan Jozic\",\"doi\":\"10.1016/j.mcpro.2025.101058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chronic wounds such as diabetic foot ulcers (DFUs) and venous leg ulcers (VLUs) are a growing public health burden, contributing to significant morbidity, healthcare costs, and mortality. Current management strategies are hampered by the inability to accurately predict healing trajectories or identify early treatment failures. Here, we present a novel, non-invasive proteomic approach that leverages routinely discarded wound dressings to profile the wound microenvironment across soluble, cellular, and extracellular vesicle (EV) compartments. Using a cohort of patients with DFU and VLU (n = 16), we performed spatially resolved, longitudinal sampling over 4 weeks and identified distinct proteomic signatures associated with healing versus non-healing outcomes. Mass spectrometry revealed more than 1000 unique proteins from viable cells and EVs as well as 489 proteins identified from soluble wound fluid. Our methodology captured immune cell phenotypes, enabling insight into tissue-specific immune responses without the need for biopsy. Longitudinal surveillance revealed patient-specific protein trajectories that correlated with wound size changes, supporting the feasibility of biomarker-based monitoring. Notably, differences in keratinocyte activation markers, acute-phase proteins, and EV-associated stress proteins distinguished healing from non-healing wounds. These findings demonstrate the utility of discarded dressings as a rich, untapped source of diagnostic and prognostic biomarkers. This platform has strong potential to inform future \\\"smart\\\" wound care technologies, including dressings capable of real-time biosensing or therapeutic EV delivery. 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Turning Waste Into Insight: A Novel Proteomic Approach to Non-Invasive Wound Biomarker Discovery.
Chronic wounds such as diabetic foot ulcers (DFUs) and venous leg ulcers (VLUs) are a growing public health burden, contributing to significant morbidity, healthcare costs, and mortality. Current management strategies are hampered by the inability to accurately predict healing trajectories or identify early treatment failures. Here, we present a novel, non-invasive proteomic approach that leverages routinely discarded wound dressings to profile the wound microenvironment across soluble, cellular, and extracellular vesicle (EV) compartments. Using a cohort of patients with DFU and VLU (n = 16), we performed spatially resolved, longitudinal sampling over 4 weeks and identified distinct proteomic signatures associated with healing versus non-healing outcomes. Mass spectrometry revealed more than 1000 unique proteins from viable cells and EVs as well as 489 proteins identified from soluble wound fluid. Our methodology captured immune cell phenotypes, enabling insight into tissue-specific immune responses without the need for biopsy. Longitudinal surveillance revealed patient-specific protein trajectories that correlated with wound size changes, supporting the feasibility of biomarker-based monitoring. Notably, differences in keratinocyte activation markers, acute-phase proteins, and EV-associated stress proteins distinguished healing from non-healing wounds. These findings demonstrate the utility of discarded dressings as a rich, untapped source of diagnostic and prognostic biomarkers. This platform has strong potential to inform future "smart" wound care technologies, including dressings capable of real-time biosensing or therapeutic EV delivery. Larger validation studies will be essential to translate these findings into clinical tools for precision wound care.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes