Evidence map›Paper›PMID 36579390›Full record

ArticleCurrent drug metabolism2022

Genetic Testing is Superior Over Endogenous Pharmacometabolomic Markers to Predict Safety of Haloperidol in Patients with Alcohol-induced Psychotic Disorder.

Valentin Skryabin, Mikhail Zastrozhin, Alexandra Parkhomenko, Volker M Lauschke, Valery Smirnov, Aleksey Petukhov, Elena Pankratenko, Sergei Pozdnyakov, Sergei Koporov, Natalia Denisenko and 3 more

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Article in Current drug metabolism, 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 41% 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

13 authors at 4 institutions in 4 countries.

Valentin SkryabinDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.ORCID 0000-0002-4942-8556
Mikhail ZastrozhinDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.ORCID 0000-0002-3964-9726
Alexandra ParkhomenkoRussian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, 2/1 Barrikadnaya Street, Moscow, 123995, Russian Federation.
Volker M LauschkeDepartment of Physiology and Pharmacology, Karolinska Institutet, Solnavägen 1, 171 77 Solna, Sweden.ORCID 0000-0002-1140-6204
Valery SmirnovI.M. Sechenov First Moscow State Medical University (Sechenov University), 8с2 Trubetskaya Street, Moscow, 119991, Russian Federation.
Aleksey Petukhov.M. Sechenov First Moscow State Medical University (Sechenov University), 8с2 Trubetskaya Street, Moscow, 119991, Russian Federation.
Elena PankratenkoDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.
Sergei PozdnyakovDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.
Sergei KoporovDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.
Natalia DenisenkoRussian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, 2/1 Barrikadnaya Street, Moscow, 123995, Russian Federation.
Kristina AkmalovaRussian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, 2/1 Barrikadnaya Street, Moscow, 123995, Russian Federation.
Evgeny BryunDepartment of Healthcare, Moscow Research and Practical Centre on Addictions of the Moscow, 37/1 Lyublinskaya Street, Moscow, 109390, Russia.
Dmitry SychevRussian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, 2/1 Barrikadnaya Street, Moscow, 123995, Russian Federation.
Russian Medical Academy of Continuous Professional Education · RUSechenov University · RUKarolinska Institutet · SEUniversity of California, San Francisco · US

Funding

Russian Science Foundation 22-15-00190
6 · The paper itself

Abstract

backgroundPrevious studies have shown that haloperidol biotransformation is mainly metabolized by CYP2D6. The CYP2D6 gene is highly polymorphic, contributing to inter-individual differences in enzymatic activity, and may impact haloperidol biotransformation rates, resulting in variable drug efficacy and safety profiles.

objectiveThe study aimed to investigate the correlation of the CYPD6 activity with haloperidol's efficacy and safety rates in patients with alcohol-induced psychotic disorders.

methodsOne hundred male patients received 5-10 mg/day haloperidol by injections for 5 days. The efficacy and safety assessments were performed using PANSS, UKU, and SAS-validated psychometric scales.

resultsNo relationship between haloperidol efficacy or safety and the experimental endogenous pharmacometabolomic marker for CYP2D6 activity, urinary 6-НО-ТНВС/pinoline ratio was identified. In contrast, we found a statistically significant association between haloperidol adverse events and the most common CYP2D6 loss-of-function allele CYP2D6*4 (p<0.001).

conclusionEvaluation of the single polymorphism rs3892097 that defines CYP2D6*4 can predict the safety profile of haloperidol in patients with AIPD, whereas metabolic evaluation using an endogenous marker was not a suitable predictor. Furthermore, our results suggest haloperidol dose reductions could be considered in AIPD patients with at least one inactive CYP2D6 allele.

Indexed as

alcoholic hallucinosisalcohol-induced psychotic disorderCYP2D6haloperidol.personalized medicinepharmacogenetics

Identifiers

PMID36579390
OpenAlexW4313240772

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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.