Evidence mapPaperPMID 40479537Full record

ReviewHuman molecular genetics2025

Macrophages: sentinels, warriors, and healers.

Eduardo D Bernier, Eric Bartnicki, Kamal M Khanna

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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.

Eduardo D BernierDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, United States.
Eric BartnickiDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, United States.
Kamal M KhannaDepartment of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, United States.

Funding

K.M.K 1R01AI143861K.M.K 1R01DK138675K.M.K 3R01AI143861-02S1K.M.K R01AI188824
6 · The paper itself

Abstract

Macrophages are versatile innate immune cells that act as sentinels, warriors, and healers in virtually every tissue. This review synthesizes current insights into their developmental origins and the organ-specific cues that imprint diverse tissue-resident and monocyte-derived programs. We detail how pattern-recognition pathways, metabolic and epigenetic rewiring, and environmental signals govern macrophage plasticity, steering transitions between pro-inflammatory and reparative phenotypes during homeostasis, infection, and sterile injury. Dysregulated macrophage responses drive chronic inflammatory, autoimmune, metabolic, neurodegenerative, and neoplastic diseases; inter-individual variability rooted in genetic polymorphisms and enhancer landscapes further modulates susceptibility. Advances in single-cell and spatial multi-omics are redefining macrophage subsets and exposing disease-associated states, while approaches such as checkpoint blockade, chimeric antigen receptor macrophages, nanoparticles, metabolic modulators, and pro-resolving mediators showcase the therapeutic promise of re-programming these cells. Remaining challenges include integrating the layered genetic, metabolic, and microenvironmental inputs that dictate macrophage fate. Addressing these gaps will unlock precision strategies that harness macrophage plasticity to combat infection, resolve inflammation, repair tissue, and augment anti-tumor immunity.

Indexed as

Immunity, InnateInflammationMacrophagesAnimalsHumansimmunoregulationinflammationinnate immunitymacrophages

Identifiers

PMID40479537
PMCPMC13377467

What Socratic holds

Textmetadata
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.