ArticleFrontiers in cellular and infection microbiology2026
Article in Frontiers in cellular and infection microbiology, 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Trained immunity refers to the stimuli-induced epigenetic and metabolic reprogramming of innate immune cells, enabling enhanced non-specific responses upon secondary stimulation. Alveolar macrophages (AMs) constitute the primary immune barrier in the lung and represent a key target in enhancing protection against pulmonary pathogens. Methods: In this study, an Results: MF-trained AMs displayed significantly elevated TNFα and IL-1β production and a higher frequency of inducible iNOS-producing cells compared to non-stimulated controls, consistent with a trained immunity-associated pro-inflammatory and antimicrobial phenotype. Phagosomal acidification was enhanced and sustained in MF-trained AMs following homologous challenge with MF, suggesting enhanced phagocytic activity against mycobacteria. Conclusion: These findings provide evidence that
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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.