Article(id=1208491464032629465, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491433888166474, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2021-0671, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1619712000000, receivedDateStr=2021-04-30, revisedDate=1625414400000, revisedDateStr=2021-07-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1766056417711, onlineDateStr=2025-12-18, pubDate=1631376000000, pubDateStr=2021-09-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766056417711, onlineIssueDateStr=2025-12-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766056417711, creator=13701087609, updateTime=1766056417711, updator=13701087609, issue=Issue{id=1208491433888166474, tenantId=1146029695717560320, journalId=1189982191388893191, year='2021', volume='56', issue='9', pageStart='2325', pageEnd='2596', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1766056410524, creator=13701087609, updateTime=1766137069648, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208829742833332989, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491433888166474, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208829742833332990, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1208491433888166474, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=2335, endPage=2345, ext={EN=ArticleExt(id=1208491465773265725, articleId=1208491464032629465, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Advances in the bioanalysis of therapeutic oligonucleotides, columnId=1208491461608321532, journalTitle=Acta Pharmaceutica Sinica, columnName=Special Reports: Bioanalysis for Drug, runingTitle=null, highlight=null, articleAbstract=
Oligonucleotides have attracted the widespread attention in disease diagnosis and gene therapy. At present, the nucleic acid drugs are at the forefront of biomedical and pharmaceutical research. The bioanalysis of therapeutic oligonucleotides has been slow, however, due to the requirements for pharmacokinetic/toxicokinetic and pharmacodynamic studies in pharmaceutical development. Conventionally, the hybridization-enzyme linked immunosorbent assay (hybridization-ELISA) is widely used in the bioanalysis of therapeutic oligonucleotides. Recentlly, many technologies such as real-time quantitative PCR (qPCR) and high performance liquid chromatography (HPLC)-based technologies have also showed a broad application prospects in the bioanalysis of therapeutic oligonucleotides. However, each technology has its own advantages and limitations. This review summarizes the currently used techniques in the bioanalysis of oligonucleotide therapeutics and reviews the challenges of regulated bioanalysis.
, correspAuthors=Hong-liang JIANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2021 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Zhong-zhe CHENG, Hong-liang JIANG), CN=ArticleExt(id=1208491466888950724, articleId=1208491464032629465, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=核酸药物生物分析方法研究进展, columnId=1208491461948060192, journalTitle=药学学报, columnName=专题报道:药物生物分析, runingTitle=null, highlight=null, articleAbstract=
随着人们对疾病基因相关机制认识的不断深入,核酸药物因其在基因治疗中的潜在作用而引起广泛关注。目前核酸药物已成为生物医药发展的前沿领域。为支持核酸药物的药代/毒代动力学与药效学研究,推动新药开发,满足临床治疗药物监测的需求,核酸药物的生物分析方法得到了突飞猛进的发展。除传统的基于核酸分子杂交的酶联免疫法外,实时荧光定量PCR、基于液相色谱分离技术法等也展现出广阔的应用前景。这些分析技术各具特点,但也存在一定的局限性。本文简要综述近年来核酸药物生物分析技术的应用和发展趋势,以及在法规指导下的规范性核酸药物生物分析研究所面临的挑战及解决方案。
, correspAuthors=姜宏梁, authorNote=null, correspAuthorsNote=
, copyrightStatement=版权所有©《药学学报》编辑部2021, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=RV4/V3oSjJbEL4yaEq80uQ==, magXml=z4vPZVEp8X3YKs7iR+Fong==, pdfUrl=null, pdf=iTUP10rcWRkG7+ErLCdaBw==, pdfFileSize=592750, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=uogVWikQameCP++l9wQkzA==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=9Lxdrx1GHUFzi9lE5Kn5uA==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=程忠哲, 姜宏梁)}, authors=[Author(id=1208491467459375123, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1208491467581009955, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, authorId=1208491467459375123, language=EN, stringName=Zhong-zhe CHENG, firstName=Zhong-zhe, middleName=null, lastName=CHENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2, *, address=2. School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1208491469283897445, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, authorId=1208491467899777086, language=CN, stringName=姜宏梁, firstName=宏梁, middleName=null, lastName=姜, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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Schematic description of sandwich hybridization assay (A), hybridization-ligation assay (B), hybridization-based fluorescence assay (C) and competitive enzyme hybridization assay (D) , figureFileSmall=VoMBtJb0rxTNgxGe6WIDhw==, figureFileBig=uogVWikQameCP++l9wQkzA==, tableContent=null), ArticleFig(id=1208491471041311002, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, language=EN, label=null, caption=null, figureFileSmall=9H1r3jpiCr5nNfV3+/5iFg==, figureFileBig=IlrixTGyU0jMELd0APjQXw==, tableContent=null), ArticleFig(id=1208491471158751531, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, language=CN, label=Figure 2, caption=
Schematic description of stem-loop RT-qPCR (A) and polyA tailing based RT-PCR (B) , figureFileSmall=9H1r3jpiCr5nNfV3+/5iFg==, figureFileBig=IlrixTGyU0jMELd0APjQXw==, tableContent=null), ArticleFig(id=1208491471276192060, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Methods | Hybridization | PCR | Hybridization LC-FL | LC-MS |
| Sample preparation | Not required | Required | Not required | Required |
| Throughput | Easily automated high throughput | Easily automated High throughput | Low throughput (10-30 min/sample) | Easily automated High throughput (3-5 min/sample) |
| Sensitivity | High sensitivity | High sensitivity | Good sensitivity | Acceptable sensitivity |
| Specificity | Low specificity | Low specificity | High specificity | High specificity |
Accuracy and reproducibility | Acceptable accuracy and reproducibility (± 20% or ± 25 %) | Low accuracy (up to ± 50%) | Good accuracy and reproducibility (± 15% or ± 20 %) | Good accuracy and reproducibility (± 15% or ± 20 %) |
| Method validation | Ligand-binding assay method validation guidance | No current guidance | HPLC validation guidance | LC-MS validation guidance |
), ArticleFig(id=1208491471427187023, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1208491464032629465, language=CN, label=Table 1, caption=
Summary and comparison of different methods for the bioanalysis of therapeutic oligonucleotides
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| Methods | Hybridization | PCR | Hybridization LC-FL | LC-MS |
| Sample preparation | Not required | Required | Not required | Required |
| Throughput | Easily automated high throughput | Easily automated High throughput | Low throughput (10-30 min/sample) | Easily automated High throughput (3-5 min/sample) |
| Sensitivity | High sensitivity | High sensitivity | Good sensitivity | Acceptable sensitivity |
| Specificity | Low specificity | Low specificity | High specificity | High specificity |
Accuracy and reproducibility | Acceptable accuracy and reproducibility (± 20% or ± 25 %) | Low accuracy (up to ± 50%) | Good accuracy and reproducibility (± 15% or ± 20 %) | Good accuracy and reproducibility (± 15% or ± 20 %) |
| Method validation | Ligand-binding assay method validation guidance | No current guidance | HPLC validation guidance | LC-MS validation guidance |
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