Evidence map›Paper›PMID 36559159›Full record

ArticlePharmaceutics2022

A Transversal Approach Combining In Silico, In Vitro and In Vivo Models to Describe the Metabolism of the Receptor Interacting Protein 1 Kinase Inhibitor Sibiriline.

Romain Pelletier, Thomas Gicquel, Mélanie Simoes Eugenio, Pierre-Jean Ferron, Isabelle Morel, Claire Delehouzé, Marie-Thérèse Dimanche-Boitrel, Morgane Rousselot, Brendan Le Daré

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 5 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

9 authors at 2 institutions in 1 country.

Romain PelletierInstitut NuMeCan (Nutrition, Metabolism and Cancer), INSERM, INRAE, CHU Rennes, PREVITOX Network, 35033 Rennes, France.ORCID 0000-0002-3848-507X
Thomas GicquelInstitut NuMeCan (Nutrition, Metabolism and Cancer), INSERM, INRAE, CHU Rennes, PREVITOX Network, 35033 Rennes, France.ORCID 0000-0002-2354-1884
Mélanie Simoes EugenioIRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, Univ Rennes, Inserm, EHESP, 35000 Rennes, France.
Pierre-Jean FerronInstitut NuMeCan (Nutrition, Metabolism and Cancer), INSERM, INRAE, CHU Rennes, PREVITOX Network, 35033 Rennes, France.
Isabelle MorelInstitut NuMeCan (Nutrition, Metabolism and Cancer), INSERM, INRAE, CHU Rennes, PREVITOX Network, 35033 Rennes, France.
Claire DelehouzéSeaBeLife SAS, Station Biologique, Place Georges Teissier, 29680 Roscoff, France.
Marie-Thérèse Dimanche-BoitrelIRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, Univ Rennes, Inserm, EHESP, 35000 Rennes, France.
Morgane RousselotSeaBeLife SAS, Station Biologique, Place Georges Teissier, 29680 Roscoff, France.ORCID 0000-0001-9004-1620
Brendan Le DaréInstitut NuMeCan (Nutrition, Metabolism and Cancer), INSERM, INRAE, CHU Rennes, PREVITOX Network, 35033 Rennes, France.ORCID 0000-0002-5907-2450
Inserm · FRStation Biologique de Roscoff · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sibiriline is a novel drug inhibiting receptor-interacting protein 1 kinase (RIPK1) and necroptosis, a regulated form of cell death involved in several disease models. In this study, we aimed to investigate the metabolic fate of sibiriline in a cross-sectional manner using an in silico prediction, coupled with in vitro and in vivo experiments. In silico predictions were performed using GLORYx and Biotransformer 3.0 freeware; in vitro incubation was performed on differentiated human HepaRG cells, and in vivo experiments including a pharmacokinetic study were performed on mice treated with sibiriline. HepaRG culture supernatants and mice plasma samples were analyzed with ultra-high-performance liquid chromatography, coupled with tandem mass spectrometry (LC-HRMS/MS). The molecular networking bioinformatics tool applied to LC-HRMS/MS data allowed us to visualize the sibiriline metabolism kinetics. Overall, 14 metabolites, mostly produced by Phase II transformations (glucuronidation and sulfation) were identified. These data provide initial reassurance regarding the toxicology of this new RIPK1 inhibitor, although further studies are required.

Indexed as

LC-HRMS/MSmetabolismmolecular networkingSibiriline

Identifiers

PMID36559159
PMCPMC9787481
OpenAlexW4311005140

What OpenQuestion holds

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LicenceCC BY
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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.