Systems and Synthetic Immunology of Immune–Nanomaterial Interactions: Integrating Computational Modeling, and Experimental Approaches

Nanotechnology is transforming drug delivery, vaccination, diagnostics, immunotherapy, and regenerative medicine, yet the biological consequences of exposure to engineered nanomaterials remain difficult to predict. Immune–nanomaterial interactions are shaped by material properties, protein corona formation, cellular uptake, tissue distribution, and host-specific immune states across multiple biological scales. Current research has identified diverse mechanisms involving innate and adaptive immune activation, inflammation, tolerance, complement regulation, and immunotoxicity, but important questions remain regarding how molecular events are integrated into cellular networks and organism-level outcomes. Recent advances in single-cell and spatial omics, high-throughput immune profiling, multi-omics integration, computational immunology, and machine learning are enabling more detailed characterization of these responses. However, the field still lacks harmonized datasets, experimentally validated predictive models, and mechanistic frameworks that can support the rational design of immune-compatible nanomaterials and their translation into precision nanomedicine. Integrating systems biology, synthetic immunology, computational modeling, and experimental validation can help address these limitations.This Research Topic aims to establish an interdisciplinary framework for understanding and predicting immune–nanomaterial interactions across molecular, cellular, tissue, and organismal levels. It will advance the identification of immune regulatory mechanisms, predictive biomarkers of immunogenicity and immunotoxicity, and design principles for safer and more effective nanomaterials. Contributions may also examine how computational models and artificial intelligence can guide experimental investigation, synthetic immune circuit engineering, and the development of personalized nanomedicine and immunotherapeutic strategies.This Research Topic welcomes computational, experimental, and translational studies on the systems-level characterization, prediction, and engineering of immune–nanomaterial interactions. Themes include, but are not limited to:• Systems-level analysis of innate and adaptive immune responses to nanomaterials• Computational immunotoxicology and predictive modeling of nanomaterial safety• Multiscale modeling of immune–nanomaterial interactions• Immune signaling networks, regulatory pathways, and cell–cell communication• Single-cell, spatial, and multi-omics approaches to nanomaterial immunology• Artificial intelligence and machine learning for immune-response prediction• Synthetic immune circuits and immune-cell engineering• Protein corona formation and its influence on immune recognition• Biomarkers of immunogenicity, tolerance, inflammation, and immunotoxicity• Design and evaluation of immune-compatible and immunomodulatory nanomaterials• Experimental validation of computational and systems-level predictions• Applications in precision nanomedicine, vaccine development, drug delivery, and immunotherapy• Standardization, reproducibility, and translational frameworks for immune–nanomaterial researchWe welcome Original Research, Reviews, Mini Reviews, Perspectives, Methods, Brief Research Reports, and Opinion articles. Topic editors: Ravi Trivedi, Atar Singh Kushwah, AMIT KUMAR SUBUDHI, Amar Singh Source: https://www.frontiersin.org/research-topics/84431/systems-and-synthetic-immunology-of-immune-nanomaterial-interactions-integrating-computational-modeling-and-experimental-approaches