A Conceptual Framework for Unveiling Novel Immune Mediators in Blood: Multi-Disciplinary Integration for Molecular Exploration and Immune Functionality

This conceptual framework delineates a rigorously testable hypothesis for bone marrow-derived immune mediators, designated Immuno-Taggers (ITs), as small peptides (~5–10 kDa) that selectively bind and tag non-microbial toxins (e.g., uremic indoxyl sulfate) and aberrant metabolites (e.g., tumor-associated glycosphingolipids). ITs are posited to enhance immune surveillance by facilitating pattern recognition receptor (PRR) engagement and initiating a pre-complement cascade, potentially via conformational recruitment of C1q, distinct from canonical microbial opsonization pathways. Synergizing with the cholinergic anti-inflammatory pathway of the vagus nerve and reticuloendothelial organs (spleen, liver), ITs optimize toxin clearance while mitigating dysregulated inflammation. Integrating immunology, computational biology, fluid dynamics, and bioengineering, the framework leverages machine learning for understudied gene mining in bone marrow transcriptomes and Navier-Stokes-based modeling of ligand-receptor kinetics in shear flow. A phased, milestone-driven roadmap incorporates single-cell RNA sequencing, CRISPR validation, and vagus nerve optogenetics, addressing methodological challenges such as stochastic detection and ethical genomic privacy. This paradigm holds transformative potential for precision diagnostics and immunotherapeutics in chronic kidney disease and oncogenesis, offering insights into epigenetic reprogramming and immune evasion mechanisms.