Evidence map›Paper›PMID 33585278›Full record

ReviewFrontiers in cellular and infection microbiology2020

Immunometabolism of Macrophages in Bacterial Infections.

Gaël Galli, Maya Saleh

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Trial
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  4. Review
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  8. A 62-aa core of the cochlin LCCL domain induces macrophage M1 polarization in vitro.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  9. Article
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  11. Review
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  13. Review
  14. Not all Group BFrontiers in cellular and infection microbiology · 2026
    Article
  15. Article
  16. ThebioRxiv : the preprint server for biology · 2025
    Article
  17. Macrophage DGKActa pharmaceutica Sinica. B · 2025
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Gaël GalliUniversity of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, Bordeaux, France.
Maya SalehUniversity of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, Bordeaux, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages are important effectors of tissue homeostasis, inflammation and host defense. They are equipped with an arsenal of pattern recognition receptors (PRRs) necessary to sense microbial- or danger-associated molecular patterns (MAMPs/DAMPs) and elicit rapid energetically costly innate immunity responses to protect the organism. The interaction between cellular metabolism and macrophage innate immunity is however not limited to answering the cell's energy demands. Mounting evidence now indicate that in response to bacterial sensing, macrophages undergo metabolic adaptations that contribute to the induction of innate immunity signaling and/or macrophage polarization. In particular, intermediates of the glycolysis pathway, the Tricarboxylic Acid (TCA) cycle, mitochondrial respiration, amino acid and lipid metabolism directly interact with and modulate macrophage effectors at the epigenetic, transcriptional and post-translational levels. Interestingly, some intracellular bacterial pathogens usurp macrophage metabolic pathways to attenuate anti-bacterial defenses. In this review, we highlight recent evidence describing such host-bacterial immunometabolic interactions.

Indexed as

Bacterial InfectionsMacrophagesHumansImmunity, InnateMacrophage ActivationReceptors, Pattern RecognitionReceptors, Pattern Recognitionbacteriaimmunometabolisminfectioninflammationinnate immunity

Identifiers

PMID33585278
PMCPMC7879570

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.