Evidence map›Paper›PMID 38172683›Full record

ArticleBMC immunology2024

Evaluation of the TLR3 involvement during Schistosoma japonicum-induced pathology.

Hongyan Xie, Dianhui Chen, Yuanfa Feng, Feng Mo, Lin Liu, Junmin Xing, Wei Xiao, Yumei Gong, Shanni Tang, Zhengrong Tan and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 1 country.

Hongyan XieDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.
Dianhui ChenDepartment of Infectious Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Yuanfa FengChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Feng MoDepartment of Infectious Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Lin LiuChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Junmin XingChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Wei XiaoChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Yumei GongChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Shanni TangDepartment of Infectious Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Zhengrong TanChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Guikuan LiangChina Sino-French Hoffmann Institute, Department of basic Medical Science, Guangzhou Medical University, Guangzhou, 511436, China.
Shan ZhaoDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. zhaoshan@gzhmu.edu.cn.
Weiguo YinDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. hyyinweiguo@hotmail.com.
Jun HuangDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. hj165@sina.com.
Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNState Key Laboratory of Respiratory Disease · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the functions of TLRs in the parasitic infections have been extensively reported, few studies have addressed the role of TLR3 in the immune response to Schistosoma japonicum infections. The aim of this study was to investigate the properties of TLR3 in the liver of C57BL/6 mice infected by S. japonicum.

methodsThe production of TLR3

resultsFlow cytometry results showed that the expression of TLR3 increased significantly after S. japonicum infection (P < 0.05). Hepatic myeloid and lymphoid cells could express TLR3, and the percentages of TLR3-expressing MDSC, macrophages and neutrophils were increased after infection. Knocking out TLR3 ameliorated the damage and decreased infiltration of inflammatory cells in infected C57BL/6 mouse livers.,The number of WBC was significantly reduced in TLR3 KO-infected mice compared to WT-infected mice (P < 0.01), but the levels of RBC, platelet and HGB were significantly increased in KO infected mice. Moreover, the relative titers of anti-SEA IgG and anti-SEA IgM in the serum of infected KO mice were statistically decreased compared with the infected WT mice. We also compared the activation-associated molecules expression between S.japonicum-infected WT and TLR3 KO mice.

conclusionsTaken together, our data indicated that TLR3 played potential roles in the context of S. japonicum infection and it may accelerate the progression of S. japonicum-associated liver pathology.

Indexed as

Schistosoma japonicumAnimalsImmunoglobulin GImmunoglobulin MMiceMice, Inbred C57BLToll-Like Receptor 3Immunoglobulin GImmunoglobulin MTLR3 protein, mouseToll-Like Receptor 3AmeliorationLiverSchistosoma japonicumTLR3

Identifiers

PMID38172683
PMCPMC10765740
OpenAlexW4390533264

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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.