Evidence map›Paper›PMID 41089685›Full record

ReviewFrontiers in immunology2025

Exploring the pathogenesis of MAFLD from an immunological perspective: from the perspective of the cGAS/STING/NF-κB signaling pathway.

Ruiyuan Tian, Yong Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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.

Ruiyuan TianDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China.
Yong LiDepartment of Hepatobiliary Diseases, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic-Associated Fatty Liver Disease (MAFLD) is the most common cause of chronic liver disease and also a major contributor to liver disease-related complications and mortality. It is closely associated with cardiovascular disease (CVD), stroke, type 2 diabetes mellitus (T2DM), chronic kidney disease (CKD), and non-liver tumors, and has become a significant global public health issue. In recent years, studies have respectively revealed the relationships between the cGAS/STING and STING/NF-κB signaling pathways and MAFLD. Although, in addition to cyclic GMP-AMP synthase (cGAS), various other DNA sensors can also recognize DNA molecules and activate stimulator of interferon genes (STING), their localization response capability and hepatocyte targeting are relatively weak, and most of them only function in specific cell types or physiological states. As a key innate immune mediator, cGAS is the core molecule that activates the classical STING pathway. Therefore, the cGAS/STING/NF-κB signaling pathway may form an important pathological chain of "DNA stress - inflammation - metabolic abnormality" in MAFLD. Consequently, it is necessary to explore the mechanism of action and research progress of the cGAS/STING/NF-κB signaling pathway in MAFLD, which provides new insights for the mechanism research and treatment of MAFLD.

Indexed as

Membrane ProteinsNF-kappa BNucleotidyltransferasesSignal TransductionAnimalsCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseHumansSTING ProteincGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseMembrane ProteinsNF-kappa BNucleotidyltransferasesSTING1 protein, humanSTING ProteincGAS/STING/NF-κBimmune signaling pathwayintervention strategymetabolically associated fatty liver diseasepathogenesis

Identifiers

PMID41089685
PMCPMC12515839

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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.