Deep Blood Proteomics Identifies over 12,000 Proteins Providing Valuable Information about the State of the Human Body

The preprint operates within the dominant paradigm of molecular biology and proteomics, specifically focusing on the identification and quantification of proteins in blood as a means to understand physiological and pathological states.

This research represents a significant contribution to normal science within the field of blood proteomics. The study utilizes established methodologies (mass spectrometry, various enrichment strategies) to expand upon existing knowledge by creating a more comprehensive database of blood proteins. The identification of over 12,000 proteins, development of the HuBP database, and the exploration of PDAC-associated proteins in blood are valuable additions to the existing body of knowledge within the current paradigm. While innovative in its approach and scale, the research doesn't fundamentally challenge or shift the existing paradigm. It focuses on refining and extending current understanding within the accepted framework of proteomic analysis for disease biomarker discovery and characterization. Thus, it fits comfortably within Kuhn's definition of "normal science"—puzzle-solving activity within an established paradigm. There's a slight possibility of it entering 'Model Drift' as the new HuBP database with its expanded data may lead to reevaluation or refinement of existing models of blood protein function in health and disease. However, given the adherence to standard proteomics methodologies and the lack of any direct challenge to existing theoretical frameworks, 'Normal Science' remains the primary and most accurate classification.