Evidence map›Paper›PMID 31471668›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Xenobiotics metabolization in Salix alba leaves uncovered by mass spectrometry imaging.

Claire Villette, Loïc Maurer, Adrien Wanko, Dimitri Heintz

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

10 citing papers in PubMed, 32 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Claire VillettePlant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084, Strasbourg, France.
Loïc MaurerPlant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084, Strasbourg, France.
Adrien WankoDépartement Mécanique, ICube Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, UNISTRA/CNRS, ENGEES/INSA, 2 rue Boussingault, 67000, Strasbourg, France.
Dimitri HeintzPlant Imaging and Mass Spectrometry (PIMS), Institut de biologie moléculaire des plantes, CNRS, Université de Strasbourg, 12 rue du Général Zimmer, 67084, Strasbourg, France. dimitri.heintz@ibmp-cnrs.unistra.fr.
Centre National de la Recherche Scientifique · FRInstitut de Biologie Moléculaire des Plantes · FRLaboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMicropollutants are increasingly monitored as their presence in the environment is rising due to human activities, and they are potential threats to living organisms.

objectivesThis study aimed at understanding the role of plants in xenobiotics removal from polluted environments by following xenobiotics metabolism in leaf tissues.

methodsDifferent classes of micropollutants were investigated using liquid chromatography (LC) coupled to quadrupole-time of flight (Q-TOF) high resolution mass spectrometry (HRMS). The tissue localization of xenobiotics in the leaves of a spontaneous (not planted by humans) Salix alba growing near the water flux was further investigated using matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI).

resultsThe LC-Q-TOF analysis revealed the distribution of micropollutants in three different compartments of a tertiary treatment wetland. When further investing the metabolic profile of S. alba leaves using MSI, different distribution patterns were observed in specific leaf tissues. Xenobiotic metabolites were predicted and could also be tentatively identified in S. alba leaves, shedding new light on the metabolic processes at play in leaves to manage xenobiotics uptake from a polluted environment.

conclusionUsing complementary metabolomics approaches, this study performed a large-scale exploration of micropollutants spreading in the environment at the exit of a tertiary treatment wetland. The use of MSI coupled with the prediction of xenobiotic metabolites yielded novel insights into plant metabolism during chronical exposure to low doses of a mixture of micropollutants.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomicsPlant LeavesSalixSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationXenobioticsXenobioticsMass spectrometry imaging (MSI)Salix albaSludgeTertiary treatment wetlandWaterXenobiotics

Identifiers

PMID31471668
OpenAlexW2970021047

What OpenQuestion holds

Textmetadata
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.