Evidence mapPaperPMID 40293552Full record

ReviewCellular and molecular life sciences : CMLS2025

Dissecting inflammation in the immunemetabolomic era.

Patricia P Ogger, Peter J Murray

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 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. Article
  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

2 authors.

Patricia P OggerImmunoregulation Research Group, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.ORCID https://orcid.org/0000-0002-2698-3565
Peter J MurrayImmunoregulation Research Group, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany. murray@biochem.mpg.de.ORCID https://orcid.org/0000-0001-6329-9802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of immune metabolism, specific metabolites and cell-intrinsic and -extrinsic metabolic states across the time course of an inflammatory response are emerging knowledge. Targeted and untargeted metabolomic analysis is essential to understand how immune cells adapt their metabolic program throughout an immune response. In addition, metabolomic analysis can aid to identify pathophysiological patterns in inflammatory disease. Here, we discuss new metabolomic findings within the transition from inflammation to resolution, focusing on three key programs of immunity: Efferocytosis, IL-10 signaling and trained immunity. Particularly the tryptophan-derived metabolite kynurenine was identified as essential for efferocytosis and inflammation resolution as well as a potential biomarker in diverse inflammatory conditions. In summary, metabolomic analysis and integration with transcriptomic and proteomic data, high resolution imaging and spatial information is key to unravel metabolic drivers and dependencies during inflammation and progression to tissue-repair.

Indexed as

InflammationMetabolomicsAnimalsBiomarkersHumansInterleukin-10KynureninePhagocytosisSignal TransductionBiomarkersInterleukin-10KynurenineChronic inflammatory diseaseEfferocytosisIL-10KynurenineMetabolomicsSpatial resolutionTrained immunity

Identifiers

PMID40293552
PMCPMC12037969

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.