Evidence map›Paper›PMID 42319005›Full record

RevieweLife2026

Metabolic support of trained immune responses in myeloid cells.

Aitor Jarit-Cabanillas, Gillian Dunphy, Federico Virga, Jan Van den Bossche, David Sancho

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aitor Jarit-CabanillasImmunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares CNIC, Madrid, Spain.ORCID https://orcid.org/0000-0001-5630-1134
Gillian DunphyImmunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares CNIC, Madrid, Spain.ORCID https://orcid.org/0000-0003-0991-4565
Federico VirgaImmunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares CNIC, Madrid, Spain.ORCID https://orcid.org/0000-0003-2523-2070
Jan Van den BosscheDepartment of Molecular Cell Biology and Immunology, Amsterdam Institute for Immunology and Infectious Diseases, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-7852-2891
David SanchoImmunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares CNIC, Madrid, Spain.ORCID https://orcid.org/0000-0003-2890-3984

Funding

Agencia Estatal de Investigación CPP2022-009762Agencia Estatal de Investigación CPP2024-011365Agencia Estatal de Investigación JDC2022-048924-IAgencia Estatal de Investigación PDC2025-165319-I00Agencia Estatal de Investigación PID2021-125415OB-I00Agencia Estatal de Investigación PID2022-137712OB-I00British Heart Foundation COOLBAT BHF-DZHK-DHF Partnership Research GrantComunidad de Madrid P2022/BMD-7333 INMUNOVAR-CMFundación CRIS contra el cáncer excellence2025_03H2020 Marie Skłodowska-Curie Actions 10.3030/101227259'la Caixa' Foundation LCF/PR/HR22/52420019'la Caixa' Foundation LCF/PR/HR23/52430012Ministerio de Ciencia, Innovación y Universidades FPU18/05434Nederlandse Organisatie voor Wetenschappelijk Onderzoek META-iIMMUNOTYPES NWA ORC consortium grantScientific Foundation of the Spanish Association Against Cancer AECC- PRYGN246642SANCWorldwide Cancer Research WWCR-25-0080
6 · The paper itself

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

Immunity, InnateMyeloid CellsTrained ImmunityAnimalsEpigenesis, GeneticGlycolysisHumansMacrophagesMetabolic Reprogrammingimmunologyinflammationmetabolismmyeloid cellstrained immunity

Identifiers

PMID42319005
PMCPMC13282116

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.