Evidence map›Paper›PMID 39159234›Full record

ArticlePLoS neglected tropical diseases2024

Schistosomicidal effects of histone acetyltransferase inhibitors against Schistosoma japonicum juveniles and adult worms in vitro.

Jing Xu, Jing-Yi Wang, Ping Huang, Zi-Hao Liu, Yu-Xin Wang, Run-Ze Zhang, Hui-Min Ma, Bi-Yue Zhou, Xiao-Yan Ni, Chun-Rong Xiong and 1 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Jing XuDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Jing-Yi WangDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Ping HuangDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Zi-Hao LiuDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Yu-Xin WangDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Run-Ze ZhangDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Hui-Min MaDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Bi-Yue ZhouDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Xiao-Yan NiDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.
Chun-Rong XiongJiangsu Institute of Parasitic Diseases, Wuxi City, P. R. China.
Chao-Ming XiaDepartment of Parasitology, School of Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou City, P. R. China.ORCID 0000-0003-3541-488X

Funding

National Natural Science Foundation of China 81902083National Natural Science Foundation of China 82172294Priority Academic Program Development of Jiangsu Higher Education Institutions YX13400214Undergraduate Innovation and Entrepreneurship Training Program of Soochow University 2021XJ057
6 · The paper itself

Abstract

backgroundSchistosomiasis is a relatively neglected parasitic disease that afflicts more than 250 million people worldwide, for which the control strategy relies mainly on mass treatment with the only available drug, praziquantel (PZQ). This approach is not sustainable and is a priority for developing novel drug candidates for the treatment and control of schistosomiasis. METHODOLOGYS/PRINCIPAL

findingsIn our previous study, we found that DW-3-15, a kind of PZQ derivative, could significantly downregulate the expression of the histone acetyltransferase of Schistosoma japonicum (SjHAT). In this study, several commercially available HAT inhibitors, A485, C646 and curcumin were screened in vitro to verify their antischistosomal activities against S. japonicum juveniles and adults. Parasitological studies and scanning electron microscopy were used to study the primary action characteristics of HAT inhibitors in vitro. Quantitative real-time PCR was employed to detect the mRNA level of SjHAT after treatment with different HAT inhibitors. Our results demonstrated that curcumin was the most effective inhibitor against both juveniles and adults of S. japonicum, and its schistosomicidal effects were time- and dose dependent. However, A485 and C646 had limited antischistosomal activity. Scanning electron microscopy demonstrated that in comparison with DW-3-15, curcumin caused similar tegumental changes in male adult worms. Furthermore, both curcumin and DW-3-15 significantly decreased the SjHAT mRNA level, and curcumin dose-dependently reduced the SjHAT expression level in female, male and juvenile worms.

conclusionsAmong the three commercially available HATs, curcumin was the most potent against schistosomes. Both curcumin and our patent compound DW-3-15 markedly downregulated the expression of SjHAT, indicating that SjHAT may be a potential therapeutic target for developing novel antischistosomal drug candidates.

Indexed as

CurcuminHistone AcetyltransferasesSchistosoma japonicumAnimalsEnzyme InhibitorsFemaleMaleMiceMicroscopy, Electron, ScanningReal-Time Polymerase Chain ReactionSchistosomicidesCurcuminEnzyme InhibitorsHistone AcetyltransferasesSchistosomicides

Identifiers

PMID39159234
PMCPMC11361729

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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.