ReviewNature reviews. Immunology2026
The effects of IFNγ on tissue physiology through structural cells.
Review in Nature reviews. Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Authors and funding
4 authors.
Funding
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Abstract
Interferon-γ (IFNγ) is classically defined by its potent ability to enhance the antimicrobial and tumour-killing activities of innate and adaptive immune cells, establishing it as an archetypal pro-inflammatory type 1 cytokine. However, as the most conserved of the interferons throughout evolution, it is possible that IFNγ may have a more fundamental physiological role beyond these immune functions. A rapidly growing body of literature now indicates that IFNγ acts extensively on non-haematopoietic, structural cells to regulate organ function, tissue homeostasis and context-dependent immune adaptation. These findings position IFNγ as a primary coordinator of diverse defence strategies, including host resistance, disease tolerance and trained immunity. In this Perspective, we examine how IFNγ signalling in non-haematopoietic cells complements or alters its canonical immune functions and argue that defining the context-specific and cell-specific actions of IFNγ is essential to inform therapeutic approaches targeting IFNγ that enhance immunity while preserving tissue function.
Identifiers
42811112What OpenQuestion 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 OpenQuestion graph.