Immunoaffinity Mass Spectrometry Diagnostic Tests for Multi-Biomarker Assays.
Assay development
Biomarkers
Diabetic kidney disease
Immunoaffinity
Targeted mass spectrometry
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2023
2023
Historique:
entrez:
13
2
2023
pubmed:
14
2
2023
medline:
16
2
2023
Statut:
ppublish
Résumé
Immunoaffinity mass spectrometry as an approach for diagnostic biomarker assays combines the advantages of antibody selectivity with the multiplexing and analytical performance of mass spectrometry. A method has been developed to detect and quantify three protein biomarkers for a diabetic kidney disease prognostic assay, PromarkerD. The methodology reflects an immunoaffinity approach compatible with higher throughput and robust clinical application. After preparation and purification of antibody-bead conjugates for the three target proteins, an immunoaffinity capture step provides a solution for reduction, alkylation, and digestion on-bead. Targeted mass spectrometry provides a quantitative measure of each biomarker in a rapid 8 min run using a microflow LCMS workflow.
Identifiants
pubmed: 36781787
doi: 10.1007/978-1-0716-2978-9_13
doi:
Substances chimiques
Proteins
0
Biomarkers
0
Antibodies
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
195-206Informations de copyright
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
Références
Nedelkov D (2017) Mass spectrometry protein tests: ready for prime time (or not). Expert Rev Proteomics 14:1–7. https://doi.org/10.1080/14789450.2017.1256777
doi: 10.1080/14789450.2017.1256777
Crutchfield CA, Thomas SN, Sokoll LJ, Chan DW (2016) Advances in mass spectrometry-based clinical biomarker discovery. Clin Proteomics 13:1. https://doi.org/10.1186/s12014-015-9102-9
doi: 10.1186/s12014-015-9102-9
Nakayasu ES, Gritsenko M, Piehowski PD et al (2021) Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation. Nat Protoc 16:3737–3760. https://doi.org/10.1038/s41596-021-00566-6
doi: 10.1038/s41596-021-00566-6
He T (2019) Implementation of proteomics in clinical trials. Proteomics Clin Appl 13:1800198. https://doi.org/10.1002/prca.201800198
doi: 10.1002/prca.201800198
Chen J, Zheng N (2020) Accelerating protein biomarker discovery and translation from proteomics research for clinical utility. Bioanalysis 12:1469–1481. https://doi.org/10.4155/bio-2020-0198
doi: 10.4155/bio-2020-0198
Frantzi M, Bhat A, Latosinska A (2014) Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development. Clin Transl Med 3:7. https://doi.org/10.1186/2001-1326-3-7
doi: 10.1186/2001-1326-3-7
Ioannidis JPA, Bossuyt PMM (2017) Waste, leaks, and failures in the biomarker pipeline. Clin Chem 63:963–972. https://doi.org/10.1373/clinchem.2016.254649
doi: 10.1373/clinchem.2016.254649
Bringans S, Ito J, Casey T et al (2020) A robust multiplex immunoaffinity mass spectrometry assay (PromarkerD) for clinical prediction of diabetic kidney disease. Clin Proteomics 17:37. https://doi.org/10.1186/s12014-020-09302-w
doi: 10.1186/s12014-020-09302-w