RevieweLife2026
Metabolic support of trained immune responses in myeloid cells.
Review in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Trained immunity (TI) is defined as a form of innate immune memory characterised by a long-lasting ability to develop enhanced responses to a secondary challenge, whether of the same or a different nature than the initial stimulus. This process is mediated by several established hallmarks, most prominently the existence of activating epigenetic marks and metabolic adaptations. The activating epigenetic marks prime the expression of immune-related genes and are a direct driving force behind the increased cytokine production after secondary stimulation of trained monocytes and macrophages. Training stimuli also induce specific metabolic adaptations, such as the upregulation of glycolysis and lactate production or the activation of glutaminolysis leading to fumarate accumulation, which in turn promotes epigenetic changes. However, the mechanisms linking these epigenetic and metabolic changes to a TI phenotype are varied, and not all stimuli that increase glycolysis promote training, whereas some stimuli such as lipopolysaccharide (LPS) display a non-monotonic induction of TI. In addition to metabolism directly driving epigenetic changes, early gene expression changes can also reshape cell metabolism to promote a trained phenotype. In this review we aim to separate two main types of metabolic rewiring that have not been previously uncoupled. Firstly, those primary metabolic changes occurring during the initial stimulation, which precede TI induction by altering the epigenomic landscape around inflammatory genes. Secondly, those metabolic adaptations arising later as a consequence of the first wave of epigenetic regulation, which support an enhanced functional state of macrophages.
Indexed as
Identifiers
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.