Evidence map›Paper›PMID 29403341›Full record

ArticleCurrent neuropharmacology2017

Jeremy Carlier, Xingxing Diao, Ariane Wohlfarth, Karl Scheidweiler, Marilyn A Huestis

Abstract read
In one paragraph

Article in Current neuropharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Interpol review of toxicology 2016-2019.Forensic science international. Synergy · 2020
    Review
  11. Review
  12. 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.

Jeremy CarlierChemistry and Drug Metabolism Section, Clinical Pharmacology and Therapeutics Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Suite 200 Room 05A727, Baltimore, MD 21224, USA.
Xingxing DiaoChemistry and Drug Metabolism Section, Clinical Pharmacology and Therapeutics Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Suite 200 Room 05A727, Baltimore, MD 21224, USA.
Ariane WohlfarthChemistry and Drug Metabolism Section, Clinical Pharmacology and Therapeutics Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Suite 200 Room 05A727, Baltimore, MD 21224, USA.
Karl ScheidweilerChemistry and Drug Metabolism Section, Clinical Pharmacology and Therapeutics Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Suite 200 Room 05A727, Baltimore, MD 21224, USA.
Marilyn A HuestisChemistry and Drug Metabolism Section, Clinical Pharmacology and Therapeutics Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Suite 200 Room 05A727, Baltimore, MD 21224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolite profiling of novel psychoactive substances (NPS) is critical for documenting drug consumption. N-(1-amino-3,3-dimethyl-1-oxobutan-2-yl)-1-(4-fluorobenzyl)-1H-indazole-3-carboxamide (ADB-FUBINACA) is an emerging synthetic cannabinoid whose toxicological and metabolic data are currently unavailable. We aimed to determine optimal markers for identifying ADB-FUBINACA intake. Metabolic stability was evaluated with human liver microsome incubations. Metabolites were identified after 1 and 3 h incubation with pooled human hepatocytes, liquid chromatography- high resolution mass spectrometry in positive-ion mode (5600+ TripleTOF®, Sciex) and several data mining approaches (MetabolitePilot™, Sciex). Metabolite separation was achieved on an Ultra Biphenyl column (Restek®); full-scan TOF-MS and information-dependent acquisition MS/MS data were acquired. ADB-FUBINACA microsomal half-life was 39.7 min, with a predicted hepatic clearance of 9.0 mL/min/kg and a 0.5 extraction ratio (intermediate-clearance drug). Twenty-three metabolites were identified. Major metabolic pathways were alkyl and indazole hydroxylation, terminal amide hydrolysis, subsequent glucuronide conjugations, and dehydrogenation. We recommend ADB-FUBINACA hydroxyalkyl, hydroxydehydroalkyl and hydroxylindazole metabolites as ADB-FUBINACA intake markers. N-dealkylated metabolites are not specific ADB-FUBINACA metabolites and should not be used as definitive markers of consumption. This is the first ADB-FUBINACA in vitro metabolism study; in vivo experiments enabling pharmacokinetic and pharmacodynamics studies or urine from authentic clinical/forensic cases are needed to confirm our results.

Indexed as

BiomarkersHumansIndazolesIn Vitro TechniquesMetabolomeMicrosomes, LiverPsychotropic DrugsADB-FUBINACABiomarkersIndazolesPsychotropic DrugsADB-FUBINACAhepatocytesLC-HRMSmetabolismnovel psychoactive substancessynthetic cannabinoid

Identifiers

PMID29403341
PMCPMC5771045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.