Evidence map›Paper›PMID 42499677›Full record

ArticleActa naturae

The Transcriptional Kinases CDK8/19 in the Regulation of the Macrophage Inflammatory Response.

A N Neznamov, Yu A Oparina, D M Dolmatova, L A Ilchuk, M V Kubekina

Abstract read
In one paragraph

Article in Acta naturae. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

A N NeznamovRussian Academy of Science, Institute of Gene Biology, Moscow, 119334 Russia.
Yu A OparinaRussian Academy of Science, Institute of Gene Biology, Moscow, 119334 Russia.
D M DolmatovaRussian Academy of Science, Engelhardt Institute of Molecular Biology, Moscow, 119334 Russia.
L A IlchukRussian Academy of Science, Institute of Gene Biology, Moscow, 119334 Russia.
M V KubekinaRussian Academy of Science, Institute of Gene Biology, Moscow, 119334 Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophage dysfunction is a key pathogenetic mechanism in the progression of a wide range of human chronic inflammation conditions, including atherosclerosis, rheumatoid arthritis, and metabolic disorders. The CDK8 and CDK19 paralogous kinases, the subunits of the Mediator complex acting as transcription regulators, are essential modulators of the inflammatory response. This study addresses the role of CDK8/19 kinases in the macrophage inflammatory response via multiple mechanisms: activation of pro- and anti-inflammatory genes and surface markers, STAT1 pathway modulation, activation of glycolytic cascade genes, regulation of the dynamics of lipid inclusions, and phagocytic activity. Experiments have shown that CDK8 and CDK19 may exhibit functional divergence. Cdk19 knockout reveals that CDK19 plays a role in the suppression of the M1 response, as well as the regulation of lipid homeostasis and phagocytosis. Double Cdk8/19 knockout macrophages are characterized by an exacerbated anti-inflammatory response while preserving normal lipid accumulation and phagocytosis levels. Inhibition of CDK8/19 kinase activity reproduces these effects only partially, suggesting that both kinase-dependent and kinase-independent mechanisms of action exist. The identified effects reveal previously unknown regulation mechanisms of macrophage immunometabolism. Modulation of CDK8 and CDK19 activity can become a novel therapeutic target for a wide range of chronic inflammatory conditions and metabolic disorders associated with macrophage dysfunction.

Indexed as

functional characteristics of macrophagesinflammationmacrophagestranscriptional kinases CDK8 and CDK19

Identifiers

PMID42499677
PMCPMC13399681

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.