利用双工荧光熔融曲线分析快速检测 SLCO1B1 多态性:对临床个性化用药的影响。

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL
Drug Design, Development and Therapy Pub Date : 2024-11-03 eCollection Date: 2024-01-01 DOI:10.2147/DDDT.S491972
Zhikang Yu, Zifang Shang, Qingyan Huang, Heming Wu, Sandip Patil
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引用次数: 0

摘要

目的溶质载体有机阴离子转运体家族成员 1B1(SLCO1B1)基因的多态性对药物转运有显著影响,因此在个性化用药中起着关键作用。本研究试图利用双相荧光熔融曲线分析法(DFMCA)建立一种快速、精确、直接的方法来检测 SLCO1B1 基因变异:方法:采集梅州市人民医院(2023.01-2023.03)54 名患者的全血样本,平均年龄 58.90 岁(SD = 7.86),其中男性 28 人,女性 26 人。从这些样本中提取 DNA,并针对两个等位基因区进行 PCR 扩增。针对两个常见的 SLCO1B1 多态性(rs2306283 和 rs4149056)设计了引物、荧光探针和相应的等位基因目标序列。利用熔解曲线分析验证了荧光探针与各自等位基因靶标结合的功能,从而确定了不同基因型的不同熔解温度。随后,根据相应荧光探针的熔解温度变化,采用 DFMCA 方法来区分基因型。对该方法的灵敏度、准确性和一致性进行了评估,并对部分样本进行了测序验证:结果:DFMCA 可在 2 小时内同时检测并准确分型两种多态性,与随机抽取样本的测序结果一致。重要的是,在浓度≥ 3.125 纳克的人类基因组 DNA 中实现了稳定的检测性能。在由中国南方汉族人组成的队列中,rs2306283(A:28.7%,G:71.3%)和 rs4149056(T:88.89%,C:11.11%)的等位基因频率与之前在汉族人群中的研究结果一致:结论:利用 DFMCA 技术的 SNP 分型系统在速度、易用性、准确性和成本效益方面具有优势,是一种合适的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid Detection of SLCO1B1 Polymorphisms Using Duplex Fluorescence Melting Curve Analysis: Implications for Personalized Drug Dosing in Clinical Settings.

Objective: The polymorphism of the solute carrier organic anion transporter family member 1B1 (SLCO1B1) gene exerts a marked influence on drug transport, thus playing a pivotal role in personalized drug dosing. This study endeavours to establish a rapid, precise, and straightforward method for detecting SLCO1B1 genetic variants utilizing Duplex Fluorescence Melting Curve Analysis (DFMCA).

Methods: Whole blood samples were collected from 54 individuals from Meizhou People's Hospital (2023.01-2023.03), with a mean age of 58.90 years (SD = 7.86), including 28 men and 26 women. DNA was extracted from these samples and subjected to PCR amplification targeting two allelic regions. Primers, fluorescent probes, and corresponding allelic target sequences were designed specifically for two common SLCO1B1 polymorphisms (rs2306283 and rs4149056). The functionality of the fluorescent probes in binding to their respective allelic targets was verified using melting curve analysis, enabling the identification of distinct melting temperatures for different genotypes. Subsequently, DFMCA was employed to differentiate genotypes based on the melting temperature shifts of the corresponding fluorescent probes. The sensitivity, accuracy, and consistency of the method were evaluated, with sequencing validation performed on a subset of samples.

Results: DFMCA facilitated the concurrent detection and accurate genotyping of both polymorphisms within 2 hours, demonstrating concordance with sequencing results from randomly selected samples. Importantly, stable detection performance was achieved for human genomic DNA at concentrations ≥ 3.125 ng. In a cohort comprising Han Chinese individuals from southern China, the allele frequencies for rs2306283 (A: 28.7%, G: 71.3%) and rs4149056 (T: 88.89%, C: 11.11%) concurred well with previous studies in the Han Chinese population.

Conclusion: The SNP typing system utilizing DFMCA technology presents advantages in terms of speed, ease of use, accuracy, and cost-effectiveness, making it a suitable tool.

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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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