Dissecting the human plasma proteome and inflammatory response biomarkers |
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| Authors: | Sudipto Saha Scott H Harrison Jake Yue Chen Professor |
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| Institution: | 1. School of Informatics, Indiana University – Purdue University, Indianapolis, IN, USA;2. Indiana Center for Systems Biology and Personalized Medicine, Indianapolis, IN, USA;3. Department of Computer & Information Science, Purdue University, Indianapolis, IN, USA |
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| Abstract: | A central focus of clinical proteomics is to search for biomarkers in plasma for diagnostic and therapeutic use. We studied a set of plasma proteins accessed from the Healthy Human Individual's Integrated Plasma Proteome (HIP2) database, a larger set of curated human proteins, and a subset of inflammatory proteins, for overlap with sets of known protein biomarkers, drug targets, and secreted proteins. Most inflammatory proteins were found to occur in plasma, and over three times the level of biomarkers were found in inflammatory plasma proteins and their interacting protein neighbors compared to the sets of plasma and curated human proteins. Percentage overlaps with Gene Ontology terms were similar between the curated human set and plasma protein set, yet the set of inflammatory plasma proteins had a distinct ontology‐based profile. Most of the major hub proteins within protein‐protein interaction networks of tissue‐specific sets of inflammatory proteins were found to occur in disease pathways. The present study presents a systematic approach for profiling a plasma subproteome's relationship to both its potential range of clinical application and its overlap with complex disease. |
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| Keywords: | Biomarkers Drug targets Inflammatory response Mass spectrometry Plasma proteome |
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