ReviewFrontiers in immunology2025
Immunocompatibility in transplantation: adapting to a changing therapeutic landscape.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Article
- Integrating Nuclear Magnetic Resonance into Bioprocess Control of Clinical-Grade Extracellular Vesicle Manufacturing.Journal of extracellular vesicles · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ongoing shortage of cell, tissue, and organ donors has led to prioritizing clinical urgency over optimal immune matching in transplantation, often at the cost of increased reliance on immunosuppressive regimens and their associated adverse effects. Recent advances in the use of Substances of Human Origin (SoHOs), xenotransplantation and emerging cell-, gene-, and tissue-based therapies have enabled the development of tailored cellular therapeutics to enhance engraftment, long-term function, and immunological compatibility. Within this evolving context, artificial intelligence is also increasingly contributing to improve donor-recipient matching through predictive analytics and integrative data modeling, assisting on immune tolerance and the durable integration of transplanted cells into host tissues. In this review, we revisit foundational concepts of immunocompatibility, examine current clinical criteria in organ transplantation, and critically explore the shifting paradigms of donor-recipient matching in the era of personalized medicine. These advances have the potential to redefine clinical strategies in transplantation and regenerative care while ensuring patient access and sustainability.
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What Socratic holds
Registered trials
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.