The Efficiency of DNA Labeling with Near-Infrared Fluorescent Dyes

Шершов, В. Е.; Ikonnikova, A. Yu.; Vasiliskov, V. A.; Lapa, S. A.; Miftakhov, R. A.; Кузнецова, В. Е.; Chudinov, A. V.; Наседкина, Т. В.

doi:10.1134/s0006350920050188

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…The rs71647871 and rs2244613 regions were amplified using genomic DNA, and long-range/nested PCR detected CES1A1c. Biochip technology was described earlier [30]; 2 -deoxyuridine 5 -triphosphate (dUTP) derivatives containing the Cy7 cyanine dye were used as a fluorophore [31]. Analysis procedure, primers, oligonucleotide probes and analysis are in the Supplementary Methods, Tables S1 and S2, Figures S1 and S2.…”

Section: Ces1 Genotypingmentioning

confidence: 99%

The Influence of the CES1 Genotype on the Pharmacokinetics of Enalapril in Patients with Arterial Hypertension

Ikonnikova

Rodina

Dmitriev

et al. 2022

JPM

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The angiotensin-converting enzyme inhibitor enalapril is hydrolysed to an active metabolite, enalaprilat, in the liver via carboxylesterase 1 (CES1). Previous studies show that variant rs71647871 in the CES1 gene affects the pharmacokinetics of enalapril on liver samples as well as healthy volunteers. This study included 286 Caucasian patients with arterial hypertension who received enalapril. The concentrations of enalapril and enalaprilat were determined before subsequent intake of the drug and 4 h after it with high-performance liquid chromatography (HPLC) and mass spectrometric detection. The study included genetic markers as follows: rs2244613, rs71647871 (c.428G>A, p.G143E) and three SNPs indicating the presence of a subtype CES1A1c (rs12149368, rs111604615 and rs201577108). Mean peak and trough enalaprilat concentrations, adjusted by clinical variables, were significantly lower in CES1 rs2244613 heterozygotes (by 16.6% and 19.6%) and in CC homozygotes (by 32.7% and 41.4%) vs. the AA genotype. In CES1A1c homozygotes, adjusted mean enalaprilat concentrations were 75% lower vs. heterozygotes and wild-type (WT) homozygotes. Pharmacogenetic markers of the CES1 gene may be a promising predictor for individualisation when prescribing enalapril.

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Section: Ces1 Genotypingmentioning

confidence: 99%

The Influence of the CES1 Genotype on the Pharmacokinetics of Enalapril in Patients with Arterial Hypertension

Ikonnikova

Rodina

Dmitriev

et al. 2022

JPM

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“…Genotyping involved the multiplex one-step PCR followed by allele-specific hybridization on a biochip as described before [ 46 ]. 2′-deoxyuridine 5′-triphosphate (dUTP) derivatives containing the Cy7 cyanine dye were used as fluorophores [ 47 ]. The sequences of primers and allele-specific oligonucleotide probes are listed in the Supplementary Tables S1 and S2 .…”

Section: Methodsmentioning

confidence: 99%

Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin

et al. 2022

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Aspirin resistance (AR) is a pressing problem in current ischemic stroke care. Although the role of genetic variations is widely considered, the data still remain controversial. Our aim was to investigate the contribution of genetic features to laboratory AR measured through platelet aggregation with arachidonic acid (AA) and adenosine diphosphate (ADP) in ischemic stroke patients. A total of 461 patients were enrolled. Platelet aggregation was measured via light transmission aggregometry. Eighteen single-nucleotide polymorphisms (SNPs) in ITGB3, GPIBA, TBXA2R, ITGA2, PLA2G7, HMOX1, PTGS1, PTGS2, ADRA2A, ABCB1 and PEAR1 genes and the intergenic 9p21.3 region were determined using low-density biochips. We found an association of rs1330344 in the PTGS1 gene with AR and AA-induced platelet aggregation. Rs4311994 in ADRA2A gene also affected AA-induced aggregation, and rs4523 in the TBXA2R gene and rs12041331 in the PEAR1 gene influenced ADP-induced aggregation. Furthermore, the effect of rs1062535 in the ITGA2 gene on NIHSS dynamics during 10 days of treatment was found. The best machine learning (ML) model for AR based on clinical and genetic factors was characterized by AUC = 0.665 and F1-score = 0.628. In conclusion, the association study showed that PTGS1, ADRA2A, TBXA2R and PEAR1 polymorphisms may affect laboratory AR. However, the ML model demonstrated the predominant influence of clinical features.

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The Efficacy of Hybridization Analysis of DNA Labeled with Red and Near-Infrared Cyanine Dyes

et al. 2021

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The Efficiency of DNA Labeling with Near-Infrared Fluorescent Dyes

Cited by 3 publications

References 16 publications

The Influence of the CES1 Genotype on the Pharmacokinetics of Enalapril in Patients with Arterial Hypertension

The Influence of the CES1 Genotype on the Pharmacokinetics of Enalapril in Patients with Arterial Hypertension

Genetic Association Study and Machine Learning to Investigate Differences in Platelet Reactivity in Patients with Acute Ischemic Stroke Treated with Aspirin

The Efficacy of Hybridization Analysis of DNA Labeled with Red and Near-Infrared Cyanine Dyes

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