Evidence map›Paper›PMID 41758871›Full record

ArticlePLoS pathogens2026

An atypical venus fly trap domain receptor regulates motility and phagocytosis in the protozoan parasite Entamoeba histolytica.

Rivo Yudhinata Brian Nugraha, Ghulam Jeelani, Herbert J Santos, Tomoyoshi Nozaki

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

4 authors.

Rivo Yudhinata Brian NugrahaDepartment of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4314-6961
Ghulam JeelaniDepartment of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Herbert J SantosDepartment of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tomoyoshi NozakiDepartment of Biomedical Chemistry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1354-5133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amebiasis is a parasitic infection of the human intestines, primarily caused by Entamoeba histolytica. Its pathogenesis relies on the environmental sensing-induced cytoskeletal remodeling as the basic mechanism for motility and tissue invasion. We identified and characterized an atypical Venus Fly-Trap (VFT) receptor protein, EhVFT (CL6EHI_096680). While it shares homology with the ligand-binding domain of class C GPCRs, it is phylogenetically related to the Periplasmic Binding Protein (PBP) superfamily. This protein is uniquely lacking a transmembrane domain. Instead, the glycosylphosphatidylinositol (GPI) anchor is responsible for its cell membrane localization. Removal of the GPI signal led to unexpected mitosomal localization, highlighting the importance of GPI modification in subcellular targeting. Functional studies revealed that EhVFT knockdown reduced parasite motility and phagocytosis of mammalian cells following the reduction of expression of actin cytoskeleton-related genes, including myosin II, villidin, and gelsolin. Our findings suggest that EhVFT plays a role in regulating downstream signaling linked to Entamoeba motility and phagocytosis. This study provides novel insights into an atypical VFT protein in E. histolytica, an area previously understudied.

Indexed as

Entamoeba histolyticaEntamoebiasisPhagocytosisProtozoan ProteinsAnimalsCell MovementHumansSignal TransductionProtozoan Proteins

Identifiers

PMID41758871
PMCPMC12965686

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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.