ReviewFrontiers in cell and developmental biology2026
Transplantation immunology: paradigm shift from systemic suppression to microenvironment remodeling and precision modulation.
Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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7 authors.
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Abstract
Organ transplantation remains the definitive therapy for end-stage organ failure, yet its long-term success is limited by allograft rejection. Conventional immunosuppressive regimens, while effective against acute rejection, are hampered by non-specific mechanisms that lead to serious complications such as infections and malignancies, posing a major barrier to long-term graft survival. Recent advances in high-dimensional technologies-including single-cell sequencing, epigenomics, and metabolomics-are driving a paradigm shift in transplant immunology from "broad suppression" toward "precision modulation." This review systematically delineates the hierarchical network and regulatory mechanisms of the alloimmune response, with a focus on four pioneering therapeutic strategies: engineered cellular therapies, targeted biologics, local microenvironment remodeling, and metabolic/epigenetic interventions. It further discusses the integration of novel biomarkers, high-dimensional technologies, and artificial intelligence to establish a precision medicine framework for personalized immune management. Finally, future directions and challenges-including xenotransplantation, spatial multi-omics, and immune aging-are explored, providing a conceptual and practical roadmap for the fundamental transition from systemic immunosuppression to precision modulation of the immune microenvironment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.