Literature DB >> 28411632

An ultra-specific and sensitive sandwich ELISA for imatinib using two anti-imatinib antibodies.

Tetsuya Saita1, Yuta Yamamoto2, Kazuhisa Hosoya3, Yutaro Yamamoto2, Sakiko Kimura3, Yutaka Narisawa4, Masashi Shin2.   

Abstract

The development of an immunoassay for a low-molecular-weight drug first requires the identification of specific antibodies that do not cross-react with the drug's metabolites. If two antibodies can simultaneously recognize the entire structure of the drug, we can then utilize them to establish an ultra-specific sandwich ELISA, free from interference due to the metabolic products of the drug. This paper reports an ultra-specific and sensitive sandwich ELISA for determination of the tyrosine kinase inhibitor imatinib using two anti-imatinib antibodies. The anti-imatinib antibodies were obtained by two partial structures of imatinib as haptens (2-(5-amino-2-methylanilino)-4-(3-pyridyl)pyrimidine and 4-{(4-methyl-1-piperazinyl)-methyl}-benzoate). Under optimized conditions, this sandwich ELISA shows a linear detection range from 64 pg mL-1 to 8 ng mL-1, and a limit of detection of approximately 64 pg mL-1 for 100-μL samples. The ELISA is specific to imatinib and while there was no cross-reactivity with the major metabolite N-desmethyl-imatinib, slight cross-reactivity was found with metabolite pyridine-N-oxide-imatinib. This assay demonstrated significantly lower cross-reactivity with metabolites than competitive ELISAs. Using this assay, drug levels were easily measured in rat blood after oral administration of imatinib via a single dose of 30 mg kg-1 or 100 mg kg-1. The levels in rat serum measured by this ELISA were comparable with those measured by HPLC, and there was a strong correlation between the values determined by the two methods (y = 0.983x + 0.081, R2 = 0.948). Thus, we have successfully developed the first specific and sensitive sandwich ELISA for imatinib using two anti-imatinib antibodies. This sandwich ELISA will be a valuable tool for therapeutic drug monitoring and pharmacokinetic studies of imatinib.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Competitive enzyme-linked immunosorbent assay; Imatinib; Low molecular weight drug; Sandwich enzyme-linked immunosorbent assay; Therapeutic drug monitoring

Mesh:

Substances:

Year:  2017        PMID: 28411632     DOI: 10.1016/j.aca.2017.03.034

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  6 in total

1.  An anti-passivation ink for the preparation of electrodes for use in electrochemical immunoassays.

Authors:  Qi-Qi Zheng; Yuan-Chao Lu; Zun-Zhong Ye; Jian-Feng Ping; Jian Wu; Yi-Bin Ying
Journal:  J Zhejiang Univ Sci B       Date:  2018 Sept.       Impact factor: 3.066

2.  Quantitative determination of erlotinib in human serum using competitive enzyme-linked immunosorbent assay.

Authors:  Yuta Yamamoto; Tetsuya Saita; Yutaro Yamamoto; Masashi Shin
Journal:  J Pharm Anal       Date:  2018-02-08

3.  Species identification of Bombyx mori and Antheraea pernyi silk via immunology and proteomics.

Authors:  Jincui Gu; Qingqing Li; Boyi Chen; Chengfeng Xu; Hailing Zheng; Yang Zhou; Zhiqin Peng; Zhiwen Hu; Bing Wang
Journal:  Sci Rep       Date:  2019-06-28       Impact factor: 4.379

4.  Development of a competitive enzyme-linked immunosorbent assay for therapeutic drug monitoring of afatinib.

Authors:  Rintaro Sogawa; Tetsuya Saita; Yuta Yamamoto; Sakiko Kimura; Yutaka Narisawa; Shinya Kimura; Masashi Shin
Journal:  J Pharm Anal       Date:  2018-09-18

5.  A New Strategy Involving the Use of Peptides and Graphene Oxide for Fluorescence Turn-on Detection of Proteins.

Authors:  Huan Shi; Bibo Zhang; Shuwen Liu; Chunyan Tan; Ying Tan; Yuyang Jiang
Journal:  Sensors (Basel)       Date:  2018-01-29       Impact factor: 3.576

6.  Hapten Synthesis and the Development of an Ultrasensitive Indirect Competitive ELISA for the Determination of Diethylstilbestrol in Food Samples.

Authors:  Xingdong Yang; Yinbiao Wang; Chunmei Song; Xiaofei Hu; Fangyu Wang; Xianyin Zeng
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

  6 in total

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