Evidence map›Paper›PMID 34880651›Full record

ArticlePharmacogenomics and personalized medicine2021

MicroRNAs as Novel Biomarkers for P2Y12 - Inhibitors Resistance Prediction.

Eric Rytkin, Karin Mirzaev, Irina Bure, Kristina Akmalova, Sherzod Abdullaev, Anastasiia Kachanova, Valery Smirnov, Elena Grishina, Natalia Lyakhova, Elena Aleshkovich and 4 more

Abstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Recent research progress on the mechanisms of clopidogrel resistance.European journal of clinical pharmacology · 2026
    Review
  2. Article
  3. Influence of Genetic and Epigenetic Factors of P2YCardiovascular drugs and therapy · 2024
    Review
  4. Article
  5. 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

14 authors.

Eric RytkinInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0003-2511-0655
Karin MirzaevInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0002-9307-4994
Irina BureInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0003-2043-5848
Kristina AkmalovaInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0003-3505-8520
Sherzod AbdullaevInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0001-9001-1499
Anastasiia KachanovaInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0003-3194-4410
Valery SmirnovSechenov University, Moscow, Russian Federation.ORCID 0000-0002-8232-6682
Elena GrishinaInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0002-5621-8266
Natalia LyakhovaS.P. Botkin City Clinical Hospital, Moscow, Russian Federation.
Elena AleshkovichS.P. Botkin City Clinical Hospital, Moscow, Russian Federation.
Anna SaribekianSechenov University, Moscow, Russian Federation.ORCID 0000-0002-2408-1541
Denis AndreevSechenov University, Moscow, Russian Federation.ORCID 0000-0002-0276-7374
Alexey ShabuninS.P. Botkin City Clinical Hospital, Moscow, Russian Federation.ORCID 0000-0002-0522-0681
Dmitry SychevInstitute for Molecular and Personalized Medicine, Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation.ORCID 0000-0002-4496-3680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study is to assess 6 micro-RNAs: miR-126, miR-223, miR-150, miR-29, miR-34, miR-142 as potential biomarkers for P2Y12- inhibitors resistance prediction.

methodsEighty patients with an acute coronary syndrome undergoing percutaneous coronary intervention treated in a multidisciplinary hospital in Moscow with DAPT (either with ticagrelor, n=45, or clopidogrel, n=35) were enrolled. The carriership of 6 clinically relevant polymorphisms for ticagrelor and 17 for clopidogrel was detected. Expression levels of six prospective miRNAs were measured. The activity of CYP3A4 isoenzyme was measured as the ratio of the concentrations of cortisol and 6β-hydroxycortisol.

resultsThe polymorphisms of the P2Y12-inhibitors ADME genes that demonstrated statistically significant connection with miRNA expression levels are as follows: P2Y12R (A>G, rs3732759) and miR-29 (p=0.017), miR-34 (p=0.003); CYP2C19*17 (C-806T, rs1224856) and miR-142 (p=0.012); PON1 (Q192R, rs662) and miR-29 (p=0.004), ABCG2 (G>T, rs2231142) and miR-34 (p=0.007). MiRNAs expression levels showed connection with the results of the platelet reactivity assessment by utilizing VerifyNow assay ("Instrumentation laboratory", MA, US). MiR-126 (β coefficient=-0.076, SE=0.032, p=0.021), miR-223 (β coefficient=-0.089, SE=0.041, p=0.032), miR-29 (β coefficient=-0.042, SE=0.018, p=0.026), miR-142 (β coefficient=-0.072, SE=0.026, p=0.008) have the potential to be used as biomarkers and may substitute platelet reactivity testing.

conclusionThis study has revealed new biomarkers for P2Y12-inhibitors resistance testing: miR-29, miR-34, miR-126, miR-142, miR-223.

Indexed as

acute coronary syndromebiomarkermiRNApharmacogenomicspolymorphism

Identifiers

PMID34880651
PMCPMC8648096

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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.