Evidence map›Paper›PMID 38740018›Full record

ReviewJournal of innate immunity2024

Pattern-Recognition Receptors and Immunometabolic Reprogramming: What We Know and What to Explore.

Vijay Kumar, John H Stewart Iv

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of innate immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Vijay KumarDepartment of Surgery, Laboratory of Tumor Immunology and Immunotherapy, Medical Education Building-C, Morehouse School of Medicine, Atlanta, Georgia, USA.
John H Stewart IvDepartment of Surgery, Laboratory of Tumor Immunology and Immunotherapy, Medical Education Building-C, Morehouse School of Medicine, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvolutionarily, immune response is a complex mechanism that protects the host from internal and external threats. Pattern-recognition receptors (PRRs) recognize MAMPs, PAMPs, and DAMPs to initiate a protective pro-inflammatory immune response. PRRs are expressed on the cell membranes by TLR1, 2, 4, and 6 and in the cytosolic organelles by TLR3, 7, 8, and 9, NLRs, ALRs, and cGLRs. We know their downstream signaling pathways controlling immunoregulatory and pro-inflammatory immune response. However, the impact of PRRs on metabolic control of immune cells to control their pro- and anti-inflammatory activity has not been discussed extensively. SUMMARY: Immune cell metabolism or immunometabolism critically determines immune cells' pro-inflammatory phenotype and function. The current article discusses immunometabolic reprogramming (IR) upon activation of different PRRs, such as TLRs, NLRs, cGLRs, and RLRs. The duration and type of PRR activated, species studied, and location of immune cells to specific organ are critical factors to determine the IR-induced immune response. KEY MESSAGE: The work herein describes IR upon TLR, NLR, cGLR, and RLR activation. Understanding IR upon activating different PRRs is critical for designing better immune cell-specific immunotherapeutics and immunomodulators targeting inflammation and inflammatory diseases.

Indexed as

Receptors, Pattern RecognitionSignal TransductionAnimalsCellular ReprogrammingEnergy MetabolismHumansImmunity, InnateInflammationToll-Like ReceptorsReceptors, Pattern RecognitionToll-Like ReceptorscGLRsGlycolysisImmunometabolismInfectionInflammationNOD-like receptorsOxidative phosphorylationRetinoic acid-inducible gene-1-like receptorsToll-like receptors

Identifiers

PMID38740018
PMCPMC11250681

What OpenQuestion holds

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Registered trials

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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.