Multiplex flow cytometric immunoassay for serum biomarker profiling of recombinant bovine somatotropin

Autor: Nathalie G. E. Smits, Grisha Van der Veer, Michel W. F. Nielen, Susann K. J. Ludwig, Maria G. E. G. Bremer
Rok vydání: 2013
Předmět:
RIKILT - Business Unit Veiligheid & Gezondheid
Biochemistry
BU Veterinary Drugs
Analytical Chemistry
law.invention
growth-factor-i
Limit of Detection
Serum biomarkers
law
Electrochemistry
lactating cows
Bovine somatotropin
Multiplex
Insulin-Like Growth Factor I
Directie
antibody-formation
Spectroscopy
Immunoassay
medicine.diagnostic_test
Flow Cytometry
Organische Chemie
Recombinant Proteins
Dairying
Recombinant DNA
Biomarker (medicine)
Antibody
binding-proteins
hormone
osteocalcin
Biology
Antibodies
BU Dierbehandelingsmiddelen
Andrology
BU Authenticity & Bioassays
biological-fluids
enzyme-immunoassay
medicine
Animals
Environmental Chemistry
Organic Chemistry
Serum samples
Insulin-Like Growth Factor Binding Protein 2
BU Authenticiteit & Bioassays
cattle
Growth Hormone
RIKILT - Business Unit Safety & Health
biology.protein
identification
Biomarkers
Zdroj: The Analyst, 138(1), 111-117
The Analyst 138 (2013) 1
ISSN: 1364-5528
0003-2654
DOI: 10.1039/c2an35226e
Popis: Recombinant bovine somatotropin (rbST) is licensed for enhancing milk production in dairy cows in some countries, for instance the United States, but is banned in Europe. Serum biomarker profiling can be an adequate approach to discriminate between treated and untreated groups. In this study a multiplex screening tool of a small set of biomarkers for pinpointing recombinant bovine somatotropin (rbST) (ab)use was developed and evaluated: insulin-like growth factor 1 (IGF-1), IGF binding protein 2 (IGFBP2) and rbST-induced antibodies were selected as rbST dependent markers and combined in one parallel assay format. For this, the color-encoded microspheres were used in a suspension array, with a dedicated flow cytometer. Serum samples obtained from an animal experiment with rbST-treated and untreated dairy cows were measured with the developed triplex immunoassay and biomarker responses on rbST treatment were evaluated. This resulted in characteristic treatment-dependent responses for all three individual biomarkers. Combining these results with the statistical prediction model k-nearest neighbours (kNN), resulted in good discrimination of treated and untreated animals: an overall sensitivity (true positive rate) of 89.1% and an overall specificity (true negative rate) of 97.7% were reached. Therefore, this is the first multiplex method which can be applied with high confidence for screening of unknown herds of cattle pinpointing at rbST (ab)use.
Databáze: OpenAIRE
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