Evidence map›Paper›PMID 41876639›Full record

ReviewCommunications biology2026

Glycosylation as a dynamic regulator of RLR and cGAS-STING innate immune signalling pathways.

Jie Tong, Wuchao Zhang, Mengzhou Xue, Chunfu Zheng

Abstract readReview
In one paragraph

Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. cGAMP suppresses FTO expression to promote mCellular and molecular life sciences : CMLS · 2026
    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

4 authors.

Jie Tong *College of Life Sciences, Hebei University, Baoding, China.
Wuchao Zhang *College of Veterinary Medicine, Hebei Agricultural University, Baoding, China.
Mengzhou XueDepartment of Cerebrovascular Diseases, Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China. xuemengzhou@zzu.edu.cn.ORCID http://orcid.org/0000-0002-4427-7285
Chunfu ZhengDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada. zheng.alan@hotmail.com.ORCID http://orcid.org/0000-0002-8797-1322

Funding

Natural Science Foundation of Hebei Province (Hebei Provincial Natural Science Foundation) C2025201053
6 · The paper itself

Abstract

Innate immune sensing by RIG-I-like receptors (RLRs) and the cGAS-STING pathway is tightly regulated by glycosylation. This review summarizes how distinct glycosylation modalities shape antiviral signaling at multiple levels. N-glycosylation in the ER-Golgi is essential for STING folding, stability, and signaling competence, whereas aberrant glycan states disrupt DNA sensing. In contrast, cytosolic O-GlcNAcylation dynamically modulates RLR-cGAS pathways by regulating MAVS aggregation, suppressing IRF3 and NF-κB activation, and interfering with cGAS-DNA binding. We further discuss crosstalk between glycosylation, ubiquitination, and phosphorylation, metabolic regulation of UDP-GlcNAc flux, and pathogen- or tumor-driven glycosylation reprogramming, highlighting glycosylation enzymes as potential immunomodulatory targets.

Indexed as

DEAD Box Protein 58Immunity, InnateMembrane ProteinsNucleotidyltransferasesSignal TransductionAnimalscGAS-STING Signaling PathwayCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseGlycosylationHumansInnate Immunity RecognitionSTING ProteincGAS protein, humanCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseDEAD Box Protein 58Membrane ProteinsNucleotidyltransferasesSTING1 protein, humanSTING Protein

Identifiers

PMID41876639
PMCPMC13013579

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.