Evidence map›Paper›PMID 42154778›Full record

ArticlePLoS pathogens2026

β-Klotho inhibited the epithelial-mesenchymal transition of liver sinusoidal endothelial cells to alleviate schistosomiasis liver fibrosis.

Tingting Jiang, Qiang Li, Zhihao Yu, Xuanyin Cui, Xiaojin Mo, Quan Chen, Yongruo Chen, Xian Li, Mengyan Wei, Zhaoyu Guo and 2 more

Abstract read
In one paragraph

Article in PLoS pathogens, 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.

Tingting JiangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Qiang LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Zhihao YuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Xuanyin CuiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Xiaojin MoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Quan ChenNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Yongruo ChenNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Xian LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Mengyan WeiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.
Zhaoyu GuoBig Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Yuan HuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.ORCID https://orcid.org/0000-0002-5439-8822
Shizhu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shanghai, China‌‌.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schistosomiasis is a neglected zoonotic disease, and the liver fibrosis induced by Schistosoma japonicum infection poses a significant threat to human health. Traditionally, liver fibrosis in schistosomiasis has been attributed to eggs deposited in the liver, which trigger hepatic inflammation and fibrosis. However, our study reveals that schistosomula migration to the liver induces epithelial-to-mesenchymal transition (EMT) in liver sinusoidal endothelial cell (LSEC), thereby contributing to the progression of liver fibrosis. In the early stage of S. japonicum infection, mice exhibited a reduction in the proportion of LSEC and impairment of their function. RNA-sequencing revealed significant alterations in β-Klotho (KLB) expression in injured LSEC. Although KLB is known to exert anti-inflammatory functions as a co-receptor for fibroblast growth factor (FGF) in the liver, its role in LSEC EMT and schistosomiasis-induced liver fibrosis was unclear. Using SK-Hep1 cells, we found that KLB knockdown exacerbated EMT, whereas KLB over-expression attenuated EMT and decreased TGFβ1 secretion from LSEC, thereby suppressing LX-2 activation. In mice infected with S. japonicum, treatment with recombinant KLB protein or AAV8-KLB increased the LSEC population, mitigated EMT in both LSEC and liver tissues, ameliorated hepatic fibrosis, and inhibited TGFβ1 pathway activation. Our study reveals that KLB suppresses LSEC EMT induced by liver-stage schistosomula and TGFβ1 secretion, thereby inhibiting HSC activation and reducing liver fibrosis. Our findings highlight KLB as a promising therapeutic target for hepatic fibrosis in schistosomiasis.

Indexed as

Endothelial CellsEpithelial-Mesenchymal TransitionLiverLiver CirrhosisMembrane ProteinsSchistosomiasisSchistosomiasis japonicaAnimalsHumansKlotho ProteinsMaleMiceMice, Inbred C57BLSchistosoma japonicumKlotho ProteinsMembrane Proteins

Identifiers

PMID42154778
PMCPMC13186334

What OpenQuestion holds

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LicenceCC BY
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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.