Evidence map›Paper›PMID 41134297›Full record

RevieweLife2025

Rewiring the bone marrow: Evolution and the transcriptional architecture of trained immunity.

Sarah J Sun, Raúl Aguirre-Gamboa, Luis B Barreiro

Abstract readReview
In one paragraph

Review in eLife, 2025. 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

3 authors.

Sarah J SunCommittee on Immunology, University of Chicago, Chicago, United States.ORCID https://orcid.org/0000-0001-5604-7324
Raúl Aguirre-GamboaSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, United States.ORCID https://orcid.org/0000-0003-2505-3574
Luis B BarreiroCommittee on Immunology, University of Chicago, Chicago, United States.ORCID https://orcid.org/0000-0001-9456-367X

Funding

Characterizing the genetic and evolutionary determinants of population variation in transcriptional responses to pathogensR35GM152227 · NIGMS · UNIVERSITY OF CHICAGO · PI Luis Bruno Barreiro · 2024 to 2026
$1.6M
National Institute of Allergy and Infectious Diseases AI182148National Institute of Allergy and Infectious Diseases AI190301NIGMS NIH HHS GM150375NIGMS NIH HHS GM152227NIGMS NIH HHS R35 GM152227University of Chicago NIDDK P30 DK042086University of Chicago T32GM150375
6 · The paper itself

Abstract

The epigenetic adaptation of innate immune cells to inflammatory stimuli, or trained immunity, represents an evolutionarily conserved feature of host defense. Recent advances have revealed that such adaptations can occur at the level of hematopoietic stem and progenitor cells, resulting in long-lasting epigenetic reprogramming of the immune system. However, a comprehensive mechanistic understanding of these processes remains incomplete, limiting our capacity to predict or therapeutically manipulate the adaptive capacity of hematopoiesis. In this review, we survey the current literature to support a model of hematopoietic memory whose stimulus-specific nuances are shaped by specific cytokine environments and driven by the combinatorial activity of key transcription factors. Comparative analyses underscore the evolutionary conservation and essential biological roles of these factors, suggesting that trained immunity may reflect the strategic repurposing of ancient transcriptional programs for the purpose of enhancing host defense.

Indexed as

Biological EvolutionBone MarrowEpigenesis, GeneticImmunity, InnateTranscription, GeneticAnimalsHematopoiesisHematopoietic Stem CellsHumansTrained Immunityepigeneticsgeneticsgenomicstrained immunitytranscription factors

Identifiers

PMID41134297
PMCPMC12552012

What OpenQuestion holds

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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 OpenQuestion graph.