Evidence map›Paper›PMID 41925158›Full record

ReviewBioscience reports2026

Translational control of Toxoplasma gondii differentiation.

Fengrong Wang

Abstract readReview
In one paragraph

Review in Bioscience reports, 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

1 author.

Fengrong WangDepartment of Biomedical Sciences, Iowa State University, Ames, IA 50010, U.S.A.ORCID 0000-0001-6778-1962

Funding

American Heart Association 25CDA1450206Knights Templar Eye Foundation NA
6 · The paper itself

Abstract

Toxoplasma gondii is a globally prevalent protozoan parasite capable of establishing lifelong infections in its host. While acute infection is often asymptomatic, reactivation of latent bradyzoites can cause severe disease, particularly in immunocompromised individuals. Current therapies are ineffective against chronic infection, underscoring critical gaps in our understanding of bradyzoite biology and the molecular mechanisms governing stage conversion. Recent studies have identified translational control as a central regulator of T. gondii differentiation. This review highlights the roles of canonical translation initiation factors (eIF2α, eIF1.2, and eIF4E1), RNA-binding proteins (RBPs; BFD2/ROCY1, Alba1, and Alba2), and RNA modifications (with pseudouridylation representing the best-characterized modification currently linked to differentiation), as well as alternative splicing and non-coding RNAs in shaping stage-specific translational programs. This review further discusses underexplored mechanisms, including non-canonical initiation pathways, upstream open reading frames, transcript-level RNA modifications, ribosome heterogeneity and rRNA modifications, elongation and termination control, uncharacterized RBPs, and post-translational modifications of translation factors, that may coordinate proteome remodeling during differentiation. Together, established translational regulators and these emerging pathways highlight translational control as a central driver of parasite persistence and a promising therapeutic target for chronic toxoplasmosis.

Indexed as

Protein BiosynthesisProtozoan ProteinsToxoplasmaToxoplasmosisAnimalsCell DifferentiationHumansProtein Processing, Post-TranslationalRNA-Binding ProteinsProtozoan ProteinsRNA-Binding ProteinsAlternative splicingCell differentiationNon-coding RNARNA-binding proteinsRNA editingToxoplasma gondiiTranslationTranslation factors

Identifiers

PMID41925158
PMCPMC13071378

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.