Literature DB >> 23709677

Quantitative insulin analysis using liquid chromatography-tandem mass spectrometry in a high-throughput clinical laboratory.

Zhaohui Chen1, Michael P Caulfield, Michael J McPhaul, Richard E Reitz, Steven W Taylor, Nigel J Clarke.   

Abstract

BACKGROUND: Circulating insulin concentrations reflect the amount of endogenous insulin produced by the pancreas and can be monitored to check for insulin resistance. Insulin is commonly measured using immunochemiluminometric assays (ICMA). Unfortunately, differing crossreactivities of the various ICMA antibodies have led to variability in assay results. In contrast, liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based approaches can provide a highly specific alternative to immunoassays.
METHODS: Insulin was extracted from patient serum and reduced to liberate the insulin B chain. Subsequent resolution of the peptide was achieved by LC coupled to triple-quadrupole MS. Selected-reaction monitoring of B-chain transitions was used for quantification. Recombinant human insulin was used as a calibrator and was compared against the National Institute for Biological Standards and Control (NIBSC) reference standard. Bovine insulin and a stable isotopic-labeled ((13)C/(15)N) human insulin B chain were used and compared as internal standards.
RESULTS: The LC-MS/MS assay described herein has been validated according to CLIA guidelines with a limit of detection of 1.8 μIU/mL (10.8 pmol/L) and a limit of quantitation of 3 μIU/mL (18.0 pmol/L). A correlation between the LC-MS/MS assay and a US Food and Drug Administration-approved ICMA was completed for patient samples and the resulting Deming regression revealed good agreement. A reference interval for the assay was established.
CONCLUSIONS: A simple, high-throughput, quantitative LC-MS/MS insulin assay traceable to the NIBSC standard has been successfully developed and validated.

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Year:  2013        PMID: 23709677     DOI: 10.1373/clinchem.2012.199794

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  16 in total

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Authors:  Fahim Abbasi; Christine Blasey; David Feldman; Michael P Caulfield; Feras M Hantash; Gerald M Reaven
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Authors:  Andrew N Hoofnagle; Jeffrey R Whiteaker; Steven A Carr; Eric Kuhn; Tao Liu; Sam A Massoni; Stefani N Thomas; R Reid Townsend; Lisa J Zimmerman; Emily Boja; Jing Chen; Daniel L Crimmins; Sherri R Davies; Yuqian Gao; Tara R Hiltke; Karen A Ketchum; Christopher R Kinsinger; Mehdi Mesri; Matthew R Meyer; Wei-Jun Qian; Regine M Schoenherr; Mitchell G Scott; Tujin Shi; Gordon R Whiteley; John A Wrobel; Chaochao Wu; Brad L Ackermann; Ruedi Aebersold; David R Barnidge; David M Bunk; Nigel Clarke; Jordan B Fishman; Russ P Grant; Ulrike Kusebauch; Mark M Kushnir; Mark S Lowenthal; Robert L Moritz; Hendrik Neubert; Scott D Patterson; Alan L Rockwood; John Rogers; Ravinder J Singh; Jennifer E Van Eyk; Steven H Wong; Shucha Zhang; Daniel W Chan; Xian Chen; Matthew J Ellis; Daniel C Liebler; Karin D Rodland; Henry Rodriguez; Richard D Smith; Zhen Zhang; Hui Zhang; Amanda G Paulovich
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Review 8.  The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.

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9.  Rapid liquid chromatography-mass spectrometry quantitation of glucose-regulating hormones from human islets of Langerhans.

Authors:  Matthew J Donohue; Robert T Filla; Daniel J Steyer; Wesley J Eaton; Michael G Roper
Journal:  J Chromatogr A       Date:  2020-12-15       Impact factor: 4.759

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