{"title":"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。","authors":"Zhikang Yu, Zifang Shang, Qingyan Huang, Heming Wu, Sandip Patil","doi":"10.2147/DDDT.S491972","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The polymorphism of the solute carrier organic anion transporter family member <i>1B1 (SLCO1B1)</i> 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 <i>SLCO1B1</i> genetic variants utilizing Duplex Fluorescence Melting Curve Analysis (DFMCA).</p><p><strong>Methods: </strong>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 <i>SLCO1B1</i> 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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":11290,"journal":{"name":"Drug Design, Development and Therapy","volume":"18 ","pages":"4889-4899"},"PeriodicalIF":4.7000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542494/pdf/","citationCount":"0","resultStr":"{\"title\":\"Rapid Detection of <i>SLCO1B1</i> Polymorphisms Using Duplex Fluorescence Melting Curve Analysis: Implications for Personalized Drug Dosing in Clinical Settings.\",\"authors\":\"Zhikang Yu, Zifang Shang, Qingyan Huang, Heming Wu, Sandip Patil\",\"doi\":\"10.2147/DDDT.S491972\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The polymorphism of the solute carrier organic anion transporter family member <i>1B1 (SLCO1B1)</i> 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 <i>SLCO1B1</i> genetic variants utilizing Duplex Fluorescence Melting Curve Analysis (DFMCA).</p><p><strong>Methods: </strong>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 <i>SLCO1B1</i> 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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":11290,\"journal\":{\"name\":\"Drug Design, Development and Therapy\",\"volume\":\"18 \",\"pages\":\"4889-4899\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542494/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug Design, Development and Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/DDDT.S491972\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MEDICINAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Design, Development and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/DDDT.S491972","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
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.
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.