Evidence map›Paper›PMID 33024249›Full record

ArticleThe pharmacogenomics journal2021

Relationships between CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4 metabolic phenotypes and genotypes in a Nicaraguan Mestizo population.

Fernando de Andrés, Catalina Altamirano-Tinoco, Ronald Ramírez-Roa, Carlos F Montes-Mondragón, Pedro Dorado, Eva M Peñas-Lledó, Adrián LLerena

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In one paragraph

Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Pharmaceuticals (Basel, Switzerland) · 2025
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  3. Review
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  5. The Frequency ofPharmaceutics · 2024
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  6. International journal of molecular sciences · 2024
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  7. Article
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  10. Distribution of a novelFrontiers in genetics · 2023
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  11. The impact ofFrontiers in pharmacology · 2023
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  12. Article
  13. Article
  14. International journal of general medicine · 2023
    Article
  15. 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

7 authors at 3 institutions in 3 countries.

Fernando de Andrés *INUBE Extremadura Biosanitary University Research Institute, CICAB Clinical Research Centre, Badajoz University Hospital; University of Extremadura, Badajoz, Spain.ORCID http://orcid.org/0000-0003-1076-0743
Catalina Altamirano-Tinoco *RIBEF Ibero American Network of Pharmacogenetics and Pharmacogenomics, León, Nicaragua.
Ronald Ramírez-RoaRIBEF Ibero American Network of Pharmacogenetics and Pharmacogenomics, León, Nicaragua. ramirezjuanronald@gmail.com.
Carlos F Montes-MondragónUNAN Universidad Nacional Autónoma de Nicaragua, Facultad de Ciencias Médicas, León, Nicaragua.
Pedro DoradoINUBE Extremadura Biosanitary University Research Institute, CICAB Clinical Research Centre, Badajoz University Hospital; University of Extremadura, Badajoz, Spain.ORCID http://orcid.org/0000-0003-4100-721X
Eva M Peñas-LledóINUBE Extremadura Biosanitary University Research Institute, CICAB Clinical Research Centre, Badajoz University Hospital; University of Extremadura, Badajoz, Spain.
Adrián LLerenaINUBE Extremadura Biosanitary University Research Institute, CICAB Clinical Research Centre, Badajoz University Hospital; University of Extremadura, Badajoz, Spain. allerena@unex.es.ORCID http://orcid.org/0000-0002-5663-7081
Government of Extremadura · ESNational Autonomous University of Nicaragua · NIInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interethnic variability in the drug-metabolizing capacity of CYP450 enzymes may lead to discrepancies in the relationship between genotypes and phenotypes worldwide. The present study was aimed to analyze for the first time whether there is a relationship between clinically relevant CYP450 genetic polymorphisms and their drug oxidation capacity (metabolic phenotype) in a population of healthy Nicaraguan volunteers. Two hundred and twelve participants were genotyped for CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A4, and their actual metabolic phenotype (evaluated by the Metabolic Ratio, MR) was analyzed by using the CEIBA cocktail approach. The results showed the wide interindividual variability in all the studied enzymes and a significant difference (p < 0.004) in the activity of CYP1A2 between male and female subjects. The number of CYP2C19 (p < 0.0001) and CYP2D6 (p < 0.0001) active alleles were shown inversely correlated with their corresponding MR, although there were marked genotype-phenotype discrepancies. There was an actual enzyme capacity overlapping (MR) between genotypically Poor (gPMs) and Extensive Metabolizers (gEMs) of 3.14% subjects for CYP2D6 and 0.94% for CYP2C9. Similarly, there was an overlapping for metabolic phenotypes of 11.48% of genotypically ultrarapid metabolizers (gUMs) for CYP2C19 and 2.09% for CYP2D6 and gEMs. Therefore, the current approach for metabolic phenotype prediction based just on genotype does not predict properly for all individuals within this Nicaraguan Mestizo population, thus representing a potential barrier for the clinical implementation of personalized medicine in this region. However, it is necessary to improve the prediction of phenotype from genotype in order to improve the pharmacogenetic implementation in populations with specific ethnic backgrounds.

Indexed as

AdultAllelesCytochrome P-450 Enzyme SystemFemaleGene FrequencyGenotypeHumansMaleNicaraguaPharmacogeneticsPhenotypePolymorphism, GeneticPrecision MedicineRacial GroupsYoung AdultCytochrome P-450 Enzyme System

Identifiers

PMID33024249
OpenAlexW3091888242

What OpenQuestion holds

Textmetadata
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.