A robust multiplex immunoaffinity mass spectrometry assay (PromarkerD) for clinical prediction of diabetic kidney disease.

Assay development Biomarkers Diabetic kidney disease Immunoaffinity MRM Multiplex Targeted mass spectrometry

Journal

Clinical proteomics
ISSN: 1542-6416
Titre abrégé: Clin Proteomics
Pays: England
ID NLM: 101184586

Informations de publication

Date de publication:
2020
Historique:
received: 22 05 2020
accepted: 10 10 2020
entrez: 23 10 2020
pubmed: 24 10 2020
medline: 24 10 2020
Statut: epublish

Résumé

PromarkerD is a novel proteomics derived blood test for predicting diabetic kidney disease (DKD). The test is based on an algorithm that combines the measurement of three plasma protein biomarkers (CD5L, APOA4, and IBP3) with three clinical variables (age, HDL-cholesterol, and eGFR). The initial format of the assay used immunodepletion of plasma samples followed by targeted mass spectrometry (MRM-LCMS). The aim of this study was to convert the existing assay into an immunoaffinity approach compatible with higher throughput and robust clinical application. A newly optimised immunoaffinity-based assay was developed in a 96 well format with MRM measurements made using a low-flow LCMS method. The stability, reproducibility and precision of the assay was evaluated. A direct comparison between the immunoaffinity method and the original immunodepletion method was conducted on a 100-person cohort. Subsequently, an inter-lab study was performed of the optimised immunoaffinity method in two independent laboratories. Processing of plasma samples was greatly simplified by switching to an immunoaffinity bead capture method, coupled to a faster and more robust microflow LCMS system. Processing time was reduced from seven to two days and the chromatography reduced from 90 to 8 min. Biomarker stability by temperature and time difference treatments passed acceptance criteria. Intra/Inter-day test reproducibility and precision were within 11% CV for all biomarkers. PromarkerD test results from the new immunoaffinity method demonstrated excellent correlation (R = 0.96) to the original immunodepletion method. The immunoaffinity assay was successfully transferred to a second laboratory (R = 0.98) demonstrating the robustness of the methodology and ease of method transfer. An immunoaffinity capture targeted mass spectrometry assay was developed and optimised. It showed statistically comparable results to those obtained from the original immunodepletion method and was also able to provide comparable results when deployed to an independent laboratory. Taking a research grade assay and optimising to a clinical grade workflow provides insights into the future of multiplex biomarker measurement with an immunoaffinity mass spectrometry foundation. In the current format the PromarkerD immunoaffinity assay has the potential to make a significant impact on prediction of diabetic kidney disease with consequent benefit to patients.

Sections du résumé

BACKGROUND BACKGROUND
PromarkerD is a novel proteomics derived blood test for predicting diabetic kidney disease (DKD). The test is based on an algorithm that combines the measurement of three plasma protein biomarkers (CD5L, APOA4, and IBP3) with three clinical variables (age, HDL-cholesterol, and eGFR). The initial format of the assay used immunodepletion of plasma samples followed by targeted mass spectrometry (MRM-LCMS). The aim of this study was to convert the existing assay into an immunoaffinity approach compatible with higher throughput and robust clinical application.
METHODS METHODS
A newly optimised immunoaffinity-based assay was developed in a 96 well format with MRM measurements made using a low-flow LCMS method. The stability, reproducibility and precision of the assay was evaluated. A direct comparison between the immunoaffinity method and the original immunodepletion method was conducted on a 100-person cohort. Subsequently, an inter-lab study was performed of the optimised immunoaffinity method in two independent laboratories.
RESULTS RESULTS
Processing of plasma samples was greatly simplified by switching to an immunoaffinity bead capture method, coupled to a faster and more robust microflow LCMS system. Processing time was reduced from seven to two days and the chromatography reduced from 90 to 8 min. Biomarker stability by temperature and time difference treatments passed acceptance criteria. Intra/Inter-day test reproducibility and precision were within 11% CV for all biomarkers. PromarkerD test results from the new immunoaffinity method demonstrated excellent correlation (R = 0.96) to the original immunodepletion method. The immunoaffinity assay was successfully transferred to a second laboratory (R = 0.98) demonstrating the robustness of the methodology and ease of method transfer.
CONCLUSIONS CONCLUSIONS
An immunoaffinity capture targeted mass spectrometry assay was developed and optimised. It showed statistically comparable results to those obtained from the original immunodepletion method and was also able to provide comparable results when deployed to an independent laboratory. Taking a research grade assay and optimising to a clinical grade workflow provides insights into the future of multiplex biomarker measurement with an immunoaffinity mass spectrometry foundation. In the current format the PromarkerD immunoaffinity assay has the potential to make a significant impact on prediction of diabetic kidney disease with consequent benefit to patients.

Identifiants

pubmed: 33093819
doi: 10.1186/s12014-020-09302-w
pii: 9302
pmc: PMC7576806
doi:

Types de publication

Journal Article

Langues

eng

Pagination

37

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsSB, JI, TC, ST, KP, RL are employees of Proteomics International, with SB and RL holding shares in the company. SP, OC and HE are employees of Atturos. Proteomics International is a beneficiary of patent PCT/AU2011/001212 that relates to biomarkers described in this manuscript.

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Auteurs

Scott Bringans (S)

Proteomics International, Perth, Australia.

Jason Ito (J)

Proteomics International, Perth, Australia.

Tammy Casey (T)

Proteomics International, Perth, Australia.

Sarah Thomas (S)

Proteomics International, Perth, Australia.

Kirsten Peters (K)

Proteomics International, Perth, Australia.

Ben Crossett (B)

Sydney Mass Spectrometry, University of Sydney, Sydney, Australia.

Orla Coleman (O)

Atturos, Dublin, Ireland.

Holger A Ebhardt (HA)

Atturos, Dublin, Ireland.

Stephen R Pennington (SR)

Atturos, Dublin, Ireland.

Richard Lipscombe (R)

Proteomics International, Perth, Australia.

Classifications MeSH