Evidence map›Paper›PMID 25682269›Full record

ArticleMolecular biology reports2015

CYP2D44 polymorphisms in cynomolgus and rhesus macaques.

Yasuhiro Uno, Shotaro Uehara, Sakae Kohara, Naoki Osada, Norie Murayama, Hiroshi Yamazaki

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In one paragraph

Article in Molecular biology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

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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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 1 country.

Yasuhiro UnoPharmacokinetics and Bioanalysis Center, Shin Nippon Biomedical Laboratories, Ltd., 16-1 Minami Akasaka, Kainan, Wakayama, 642-0017, Japan, uno-yasuhiro@snbl.co.jp.
Shotaro Uehara
Sakae Kohara
Naoki Osada
Norie Murayama
Hiroshi Yamazaki
Shin Nippon Biomedical Laboratories (Japan) · JPShowa Pharmaceutical University · JPNational Institute of Genetics · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macaques, including cynomolgus and rhesus macaques, are important animal species used in drug metabolism studies. CYP2D44 is expressed in cynomolgus macaque liver and encodes a functional drug metabolizing enzyme, metabolizing typical human CYP2D substrates such as bufuralol and dextromethorphan. CYP2D44 is highly homologous to human CYP2D6 that is known to be polymorphic with a large inter-individual variation in metabolic activities, however, genetic polymorphisms have not been investigated in macaque CYP2D44. In the present study, screening of 78 cynomolgus and 40 rhesus macaques found a total of 67 variants, including 64 non-synonymous variants, 1 nonsense mutation, and 2 frameshift mutations, and 1 gene conversion, of which 14, 19, and 15 variants were unique to Indochinese cynomolgus macaques, Indonesian cynomolgus macaques, and Chinese rhesus macaques, respectively. Eleven of the 64 non-synonymous variants were located in substrate recognition sites, the regions important for protein function. By site-directed mutagenesis and metabolic assays, S175N, V185L, A235G, R242G, R245K, and N337D showed substantially decreased activity in bufuralol 1'-hydroxylation as compared with wild-type proteins. Moreover, two null alleles (c.128T>del and c.664G>T) were found in Indonesian cynomolgus macaques, but not in Indochinese cynomolgus macaques or Chinese rhesus macaques. These results suggest that genetic polymorphisms might account for the variability of CYP2D44-dependent metabolism in macaques.

Indexed as

Polymorphism, GeneticAnimalsBiotransformationCytochrome P-450 CYP2D6Cytochrome P-450 Enzyme SystemDextromethorphanEthanolaminesGene ExpressionGenotypeHumansHydroxylationLiverMacaca fascicularisMacaca mulattaModels, MolecularMutagenesis, Site-DirectedbufuralolCytochrome P-450 CYP2D6Cytochrome P-450 Enzyme SystemDextromethorphanEthanolamines

Identifiers

PMID25682269
OpenAlexW2138668506

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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.