論文

国際誌
2023年2月

Multi-laboratory evaluation of immunoaffinity LC-MS-based glucagon-like peptide-1 assay.

Bioanalysis
  • Rika Ishikawa
  • Kosuke Saito
  • Hidehisa Tachiki
  • Ryoya Goda
  • Koji Arai
  • Hisao Shimizu
  • Tomohiro Andou
  • Kentaro Takahara
  • Hitoshi Uchiyama
  • Shin-Ichiro Nitta
  • Masaaki Kakehi
  • Kozo Hayashi
  • Naohiro Katagiri
  • Keiko Kojima
  • Hisashi Fujita
  • Kazuhiro Tsuchinaga
  • Yoshiro Saito
  • 全て表示

15
4
開始ページ
207
終了ページ
218
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.4155/bio-2022-0240

Background: Although the fit-for-purpose approach has been proposed for biomarker assay validation, practical data should be compiled to facilitate the predetermination of acceptance criteria. Methods: Immunoaffinity LC-MS was used to analyze glucagon-like peptide-1 as a model biomarker in six laboratories. Calibration curve, carryover, parallelism, precision, relative accuracy and processed sample stability were evaluated, and their robustness among laboratories was assessed. The rat glucagon-like peptide-1 concentrations in four blinded samples were also compared. Results: The obtained results and determined concentrations in the blinded samples at all laboratories were similar, with a few exceptions, and robust, despite the difference in optimization techniques among laboratories. Conclusion: The results provide insights into the predefinition of the acceptance criteria of immunoaffinity LC-MS-based biomarker assays.

リンク情報
DOI
https://doi.org/10.4155/bio-2022-0240
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/36961372
ID情報
  • DOI : 10.4155/bio-2022-0240
  • PubMed ID : 36961372

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