Evidence map›Paper›PMID 41798947›Full record

ArticleFrontiers in immunology2026

TIGIT impairs NK cell antifibrotic activity through the IFNγ-IFI30 axis in schistosomiasis-induced liver fibrosis.

Hui Peng, Jing Zhang, Xiaocheng Zhang, Hao Zhou, Lijun Cui, Fangfang Xu, Tingting Jiang, Jianhai Yin, Yuan Hu, Yujuan Shen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2026. 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

12 authors.

Hui PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Jing ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Xiaocheng ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Hao ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Lijun CuiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Fangfang XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Tingting JiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Jianhai YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Yuan HuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Yujuan ShenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.
Shaohong LuEngineering Research Center of Novel Vaccine of Zhejiang Province, Zhejiang Provincial Key Laboratory of High-level Biosafety and Biomedical Transformation, Hangzhou Medical College, Hangzhou, China.
Jianping CaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Schistosomiasis-induced liver fibrosis is a major cause of morbidity and mortality, driven largely by dysregulated immune responses. Natural killer (NK) cells are critical antifibrotic effectors; however, their functions are often impaired during chronic infection. Methods: To investigate the mechanism underlying NK cell dysfunction, we established a murine model of Results: TIGIT expression on hepatic NK cells increased progressively during infection and was accompanied by reduced secretion of interferon-γ and granzyme B, indicating functional exhaustion. Conclusion: These findings identify TIGIT as a key negative regulator of NK cell antifibrotic activity and reveal an immunoregulatory TIGIT-interferon-γ-IFI30 axis that drives NK cell dysfunction and promotes schistosomiasis-induced liver fibrosis. Targeting this pathway may provide a new immunotherapeutic strategy for fibrotic diseases associated with chronic infection.

Indexed as

Interferon-gammaKiller Cells, NaturalLiver CirrhosisReceptors, ImmunologicSchistosoma japonicumSchistosomiasis japonicaAnimalsDisease Models, AnimalHepatic Stellate CellsMiceMice, Inbred C57BLMice, KnockoutSignal TransductionIFNG protein, mouseInterferon-gammaReceptors, ImmunologicT cell Ig and ITIM domain protein, mouseinterferon gamma inducible protein 30 (IFI30)interferon-γ (IFN-γ)natural killer (NK)schistosomiasisTIGIT

Identifiers

PMID41798947
PMCPMC12960536

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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.