Evidence map›Paper›PMID 35022830›Full record

ArticleAnalytical and bioanalytical chemistry2022

In-line formation and identification of toxic reductive metabolites of aristolochic acid using electrochemistry mass spectrometry coupling.

Ugo Bussy, Renaud Boisseau, Mikaël Croyal, Ranil C T Temgoua, Mohammed Boujtita

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In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. 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
0.3field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

5 authors at 2 institutions in 3 countries.

Ugo BussyMichigan State University, Department of Fisheries and Wildlife, 293 Farm Lane East, Lansing, MI, 22101, USA.ORCID http://orcid.org/0000-0003-1852-4905
Renaud BoisseauUniversité de Nantes, CNRS, CEISAM UMR 6230, 44000, Nantes, France.
Mikaël CroyalUniversité de Nantes, CHU Nantes, CNRS, INSERM, l'institut du thorax, 44000, Nantes, France.
Ranil C T TemgouaUniversité de Nantes, CNRS, CEISAM UMR 6230, 44000, Nantes, France.
Mohammed BoujtitaUniversité de Nantes, CNRS, CEISAM UMR 6230, 44000, Nantes, France.
Centre National de la Recherche Scientifique · FRMichigan Department of Natural Resources · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small-molecule metabolism has been extensively studied in the past decades, notably driven by the development of new pharmaceutical ingredients. The understanding of metabolism is critical to the anticipation of reactive metabolite formation in vivo that is often associated with toxicity. Electrochemistry has been proposed to simulate the oxidoreductive metabolism reaction catalyzed by cytochrome P450, a family of microsomal enzymes strongly involved in xenobiotic metabolism. The implementation of an electrochemical cell online with mass spectrometry allows for the fast formation and identification of the reaction end products. This study discusses the ability of the synthetic electrochemical approach to simulate a complex lactamization reaction that involves the formation of reactive metabolites. Aristolochic acid I was used as a model molecule to evaluate the ability of electrochemical simulation to generate nitroso, hydroxylamine, N-hydroxylactam, lactam, and nitrenium ion metabolites.

Indexed as

Aristolochic AcidsElectrochemistryMass SpectrometryOxidation-Reductionaristolochic acid IAristolochic AcidsElectrochemical reductionIntramolecular condensation reactionMass spectrometryMass voltammetryNitrenium ionNitro-aromatic

Identifiers

PMID35022830
OpenAlexW4206137091

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.