Evidence map›Paper›PMID 41666232›Full record

ArticlePLoS pathogens2026

Quantitative proteomics of infected macrophages reveals novel Leishmania virulence factors.

Nicolas Hagedorn, Albert Fradera-Sola, Melina Mitnacht, Tobias Gold, Ulrike Schleicher, Falk Butter, Christian J Janzen

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Nicolas HagedornDepartment of Cell & Developmental Biology, Biocentre, University of Würzburg, Würzburg, Germany.
Albert Fradera-SolaInstitute of Molecular Virology and Cell Biology, Friedrich-Loeffler-Institute, Greifswald, Germany.
Melina MitnachtDepartment of Cell & Developmental Biology, Biocentre, University of Würzburg, Würzburg, Germany.
Tobias GoldInstitut für Klinische Mikrobiologie, Immunologie und Hygiene, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Ulrike SchleicherInstitut für Klinische Mikrobiologie, Immunologie und Hygiene, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Falk ButterInstitute of Molecular Virology and Cell Biology, Friedrich-Loeffler-Institute, Greifswald, Germany.
Christian J JanzenDepartment of Cell & Developmental Biology, Biocentre, University of Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0003-3958-8123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmaniasis is a major public health problem, causing diseases ranging from self-healing skin lesions to life-threatening chronic infections. Understanding how Leishmania parasites evade the host defense system is crucial for understanding the different manifestations of the disease and for improving diagnostic tools and drug development. We performed high-resolution proteome profiling of Leishmania spp. across three species during macrophage infection and identified distinct temporal expression patterns. Clustering analysis revealed unique protein expression profiles for each Leishmania species, whereas pairwise enrichment analysis revealed specific up- and downregulation patterns at different infection stages. Our results confirmed known virulence factors and highlighted new ones, demonstrating how our dataset could be used. We validated the dataset by showing that deletion of putative L. mexicana virulence factors resulted in reduced stage differentiation capacity and infectivity.

Indexed as

LeishmaniaLeishmaniasisMacrophagesProteomeProtozoan ProteinsVirulence FactorsAnimalsMiceProteomicsProteomeProtozoan ProteinsVirulence Factors

Identifiers

PMID41666232
PMCPMC12931781

What Socratic holds

Textmetadata
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 Socratic graph.