Evidence map›Paper›PMID 41569398›Full record

ArticleFish physiology and biochemistry2026

Metabolomic fingerprinting of soft tissues uncovers taxonomic, physiological, and ecological aspects of river fishes.

Benjamin Marie, Pierre Foucault, Sébastien Duperron, Catherine Quiblier

Abstract read
In one paragraph

Article in Fish physiology and biochemistry, 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.

Benjamin MarieUMR 7245 CNRS-MNHN. Molécules de Communication Et Adaptation Des Microorganismes, Paris, France. benjamin.marie@mnhn.fr.
Pierre FoucaultUMR 7245 CNRS-MNHN. Molécules de Communication Et Adaptation Des Microorganismes, Paris, France.
Sébastien DuperronUMR 7245 CNRS-MNHN. Molécules de Communication Et Adaptation Des Microorganismes, Paris, France.
Catherine QuiblierUMR 7245 CNRS-MNHN. Molécules de Communication Et Adaptation Des Microorganismes, Paris, France.

Funding

Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail Cyanariv
6 · The paper itself

Abstract

Recent advances in molecular phenotyping have driven the rapid growth of untargeted, multi-dimensional approaches such as epigenomics, transcriptomics, proteomics, and metabolomics. When applied to ecology, these high-throughput omics tools offer powerful new molecular trait descriptors for investigating biological and environmental processes. Using UHPLC-HRMS/MS, we analyzed metabolome variations in gut, liver, and muscle tissues of chubs and gudgeons collected in summer 2019 from French rivers affected by benthic cyanobacterial blooms. Tissue-specific metabolomic profiles were evident, with muscle metabolomes showing the most distinct species differentiation. The different tissue metabolomes of both fish species also varied by sampling location, indicating local environmental influences. Notably, fish from the Vienne site exhibited molecular signatures of metabolic stress, including elevated oxidized glutathione and bile acids, and decreased purines, amino acids, peptides, and lipids-potentially linked to anatoxin-a-producing cyanobacterial mats. These findings underscore the potential of environmental metabolomics as a sensitive tool for assessing ecological stress and support its integration into routine environmental bio-indicator programs.

Indexed as

FishesMetabolomeAnimalsLiverMetabolomicsMusclesRiversAquatic environmentEcological stressFreshwater fishSoft tissuesUntargeted metabolomics

Identifiers

PMID41569398
PMCPMC12827312

What OpenQuestion holds

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LicenceCC BY
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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.