Literature DB >> 24668948

An automated, high-throughput method for targeted quantification of intact insulin and its therapeutic analogs in human serum or plasma coupling mass spectrometric immunoassay with high resolution and accurate mass detection (MSIA-HR/AM).

Scott Peterman1, Eric E Niederkofler, David A Phillips, Bryan Krastins, Urban A Kiernan, Kemmons A Tubbs, Dobrin Nedelkov, Amol Prakash, Maryann S Vogelsang, Tara Schoeder, Lewis Couchman, David R Taylor, Cajetan F Moniz, Gouri Vadali, Gregory Byram, Mary F Lopez.   

Abstract

The detection and quantification of insulin and its therapeutic analogs is important for medical, sports doping, and forensic applications. Synthetic variants contain slight sequence variations to affect bioavailability. To reduce sample handling bias, a universal extraction method is required for simultaneous extraction of endogenous and variant insulins with subsequent targeted quantification by LC-MS. A mass spectrometric immunoassay (MSIA), a multiplexed assay for intact insulin and its analogues that couples immunoenrichment with high resolution and accurate mass (HR/AM) spectrometric detection across the clinical range is presented in this report. The assay is sensitive, selective, semi-automated and can potentially be applied to detect new insulin isoforms allowing their further incorporation into second or third generation assays.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Diabetes; High resolution accurate mass; Insulin; Mass spectrometry; Targeted assay; Technology

Mesh:

Substances:

Year:  2014        PMID: 24668948     DOI: 10.1002/pmic.201300300

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  Development of multiplex mass spectrometric immunoassay for detection and quantification of apolipoproteins C-I, C-II, C-III and their proteoforms.

Authors:  Olgica Trenchevska; Matthew R Schaab; Randall W Nelson; Dobrin Nedelkov
Journal:  Methods       Date:  2015-03-07       Impact factor: 3.608

2.  Multimarker proteomic profiling for the prediction of cardiovascular mortality in patients with chronic heart failure.

Authors:  Gilles Lemesle; Fleur Maury; Olivia Beseme; Lionel Ovart; Philippe Amouyel; Nicolas Lamblin; Pascal de Groote; Christophe Bauters; Florence Pinet
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

Review 3.  The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.

Authors:  Claire L Tonry; Emma Leacy; Cinzia Raso; Stephen P Finn; John Armstrong; Stephen R Pennington
Journal:  Diagnostics (Basel)       Date:  2016-07-18

Review 4.  Applications of targeted proteomics in systems biology and translational medicine.

Authors:  H Alexander Ebhardt; Alex Root; Chris Sander; Ruedi Aebersold
Journal:  Proteomics       Date:  2015-07-16       Impact factor: 3.984

5.  Improving Science by Overcoming Laboratory Pitfalls With Hormone Measurements.

Authors:  Jacquelien J Hillebrand; Wjera V Wickenhagen; Annemieke C Heijboer
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

6.  Explaining unexplained hypoglycemia: How LC-MS/MS can help.

Authors:  M T Ackermans; J Hopman; A C Heijboer; S E Siegelaar
Journal:  Pract Lab Med       Date:  2022-07-12

7.  Rapid quantification of insulin degludec by immunopurification combined with liquid chromatography high-resolution mass spectrometry.

Authors:  Gemma Reverter-Branchat; Michael Groessl; Christos T Nakas; Jean-Christophe Prost; Kwasi Antwi; Eric E Niederkofler; Lia Bally
Journal:  Anal Bioanal Chem       Date:  2020-10-02       Impact factor: 4.142

  7 in total

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