Evidence map›Paper›PMID 41419955›Full record

ArticleParasites & vectors2025

Polymorphism-driven transcriptomic changes in anthelmintic metabolism pathways of Anisakis simplex s.s. L3 larvae.

Mateusz Maździarz, Iwona Polak, Lukasz Paukszto, Monika Szczecińska, Elżbieta Łopieńska-Biernat

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Anisakiasis: A Decade of Molecular and Diagnostic Advancements (2015-2026).International journal of molecular sciences · 2026
    Review
  2. International journal of molecular sciences · 2026
    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

5 authors.

Mateusz MaździarzDepartment of Botany and Evolutionary Ecology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Plac Łódzki 1, 10-721, Olsztyn, Poland.
Iwona PolakDepartment of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Michała Oczapowskiego 2, 10-719, Olsztyn, Poland.
Lukasz PauksztoDepartment of Botany and Evolutionary Ecology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Plac Łódzki 1, 10-721, Olsztyn, Poland.
Monika SzczecińskaDepartment of Botany and Evolutionary Ecology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Plac Łódzki 1, 10-721, Olsztyn, Poland.
Elżbieta Łopieńska-BiernatDepartment of Biochemistry, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Michała Oczapowskiego 2, 10-719, Olsztyn, Poland. ela.lopienska@uwm.edu.pl.

Funding

National Science Centre of Poland 2020/37/N/NZ9/03312.
6 · The paper itself

Abstract

backgroundHelminth infections continue to pose major challenges in human and veterinary medicine, with additional complications arising from the emergence of anthelmintic resistance. Anisakis simplex sensu stricto (A. simplex s.s.), a zoonotic nematode transmitted through the consumption of fish, is of growing concern due to its allergenic potential and clinical relevance. However, the molecular mechanisms underlying the parasite's response to anthelmintic treatment remain poorly defined.

methodsThird-stage larvae (L3) of A. simplex s.s. were exposed to three widely used anthelmintics: albendazole (ALB), ivermectin (IVC) and pyrantel (PYR). High-throughput RNA sequencing was combined with differential gene expression, multivariate alternative splicing analysis (Replicate Multivariate Analysis of Transcript Splicing [rMATS] v3.2.5 computational tool) and single nucleotide variant (SNV) profiling with Oxford Nanopore sequencing. Drug-specific effects were assessed across protein-coding genes, long non-coding RNAs (lncRNAs) and splicing events.

resultsDistinct transcriptomic features, including splicing and sequence variants, were observed across treatments, with ALB primarily altering the expression of cuticle-associated genes, IVC inducing extensive alternative splicing in immune-related pathways and PYR exposure linked to widespread SNVs in neuronal projection and metabolic genes. Significant splicing events included exon skipping in the trehalase gene (ALB) and combined skipped exon/alternative 5' splice site events in moesin/ezrin/radixin-like protein 1 (IVC). A stop/splice-region SNV in trehalose phosphatase was detected with PYR exposure, highlighting coordinated disruption of the trehalose metabolism pathway. Across treatments, 68, 83 and 95 protein-coding genes with allelic variation were identified for ALB, PYR and IVC, respectively, including genes involved in detoxification, oxidative stress, cytoskeletal remodeling and transcriptional regulation.

conclusionsOur findings reveal complex, drug-specific regulatory mechanisms in A. simplex, encompassing transcriptional remodeling, alternative splicing and functional SNVs. Novel modulation of trehalose metabolism and cytoskeletal genes, alongside potential roles for ABC transporters and RNA-binding proteins, suggests diverse adaptive strategies underlying anthelmintic tolerance. This study represents the first integrated transcriptomic and variant-level analysis of Anisakis under drug pressure and provides new insights into molecular resistance mechanisms in marine nematodes, with implications for therapeutic innovation and monitoring strategies.

Indexed as

AnisakisAnthelminticsPolymorphism, GeneticTranscriptomeAlbendazoleAlternative SplicingAnimalsAnisakiasisGene Expression ProfilingIvermectinLarvaMetabolic Networks and PathwaysPolymorphism, Single NucleotidePyrantelAlbendazoleAnthelminticsIvermectinPyrantel

Identifiers

PMID41419955
PMCPMC12751375

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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.