Evidence map›Paper›PMID 42483172›Full record

ArticleFrontiers in immunology2026

Evolutionary and functional dynamics of a leishmanolysin-like immune multigene family during early infection in

Paola Gulias, Jesús Lamas, Rosa Ana Sueiro, Verónica Blanco-Abad, Alejandro Cés, José Manuel Leiro Vidal

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

6 authors.

Paola GuliasLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.
Jesús LamasLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.
Rosa Ana SueiroLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.
Verónica Blanco-AbadLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.
Alejandro CésLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.
José Manuel Leiro VidalLaboratory of Parasitology and Immunobiology, Institute for Research on the Aquatic Environment for Global Health (iARCUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidad de Santiago de Compostela (USC), Santiago de Compostela, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The evolutionary dynamics of multigene families are central to shaping host-parasite interactions and immune outcomes. In parasitic protists, expansion and diversification of surface-associated gene families enable immune evasion and host modulation, yet these mechanisms remain poorly understood in marine ciliates. Methods: We performed an integrated multi-omics analysis combining genome-wide screening using Hidden Markov Models, repeat annotation, phylogenetic inference, RNA-seq-based transcriptomic profiling, and LC-MS/MS analysis of the surface-associated fraction. Structural features of leishmanolysin-like (LSF) proteins were predicted using domain and membrane-targeting analyses, and expression dynamics were evaluated across early infection time points. Results: Genome-wide analysis identified 16 annotated LSF genes and a broader repertoire of 73 LSF-related sequences, consistent with a dynamic birth-death model of multigene family evolution. This expansion was associated with a repeat-rich genomic landscape dominated by simple and low-complexity elements, suggesting that genome plasticity contributes to diversification. LSF proteins retained conserved M8 metalloprotease domains and membrane-targeting features but displayed substantial sequence and regulatory divergence. Transcriptomic data revealed rapid and coordinated upregulation at 1 h post-infection, followed by a decline at later time points. Proteomic analysis confirmed the presence of most LSF proteins at the parasite surface and demonstrated a positive correlation between transcript abundance and protein detection. Conclusion: Our integrative multi-omics analysis reveals that the leishmanolysin-like family (LSF) of

Indexed as

Evolution, MolecularHost-Parasite InteractionsMultigene FamilyAnimalsGene Expression ProfilingMultiomicsPhylogenyProteomicshost–parasite interactionimmune evasionleishmanolysinmetalloproteasesmultigene familyPhilasterides dicentrarchiproteomicsRNA-Seq

Identifiers

PMID42483172
PMCPMC13384842

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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.