Multiplexed Longitudinal Measurement of Protein Biomarkers in DBS Using an Automated Siscapa Workflow | Zendy

Morteza Razavi | Zendy; N. Leigh Anderson | Zendy; Richard Yip | Zendy; Matthew E. Pope | Zendy; Terry W. Pearson | Zendy

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Multiplexed Longitudinal Measurement of Protein Biomarkers in DBS Using an Automated Siscapa Workflow

Author(s) -

Morteza Razavi,

N. Leigh Anderson,

Richard Yip,

Matthew E. Pope,

Terry W. Pearson

Publication year - 2016

Publication title -

bioanalysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.566

H-Index - 58

eISSN - 1757-6199

pISSN - 1757-6180

DOI - 10.4155/bio-2016-0059

Subject(s) - dried blood spot , hematocrit , biomarker , medicine , computational biology , bioinformatics , biology , chemistry , chromatography , biochemistry

Background: The use of DBS for quantitative protein biomarker measurement has been hindered by issues associated with blood hematocrit variations and lack of detection sensitivity, particularly when multiple biomarkers are measured. Materials & methods: An automated, multiplexed SISCAPA analysis was used to normalize blood volume variations in DBS and quantify proteins of varying abundance in longitudinal specimens. Conclusion: The results showed that after normalizing the spot-to-spot hematocrit variations, peptide surrogates of protein biomarkers could be accurately quantitated in DBS. This allowed the establishment of baselines for a variety of biomarkers in multiple individuals and enabled detection of changes over time, thus offering an effective solution for longitudinal personal monitoring of biomarkers relevant in health and disease.

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