Biomarker analysis of blood samples by liquid chromatography (LC) mass spectrometry (MS) is extremely challenging due to the high protein concentration range, characterised by abundant proteins that suppress and mask other proteins of lower abundance. This situation is further aggravated when using fast high-throughput methods, which are necessary for analysis of hundreds and thousands of samples in clinical laboratories. The blood proteins @entity442 , @entity5100 , @entity10513 , @entity2301 and A2GL have been proposed as indirect biomarkers for detection of GH administration and as putative biomarkers for @entity0 . We describe a sensitive and scalable method to quantify these 5 proteins of medium and low abundance by selected reaction monitoring (SRM) LC-MS/MS analysis in blood samples. Our method requires 7 L of plasma and reaches a throughput of up to ca. 80 analyses per day. It includes an initial protein precipitation protocol optimised for extraction of low mass proteins from blood samples for reduced signal suppression and increased sensitivity in LC-MS/MS. We benchmarked this method for the analysis of 40 individual blood samples including 20 @entity1 diagnosed with @entity0 . BIOLOGICAL SIGNIFICANCE: The interest for MS-based biomarker analysis in body fluids is steadily increasing as proteomics methodology translates into clinical laboratories. We describe a method for detection of 5 distinct proteins of low mass and medium to low abundance, which are of interest in anti-doping and clinical analysis. The analytical setup is simple and robust and is suitable for high-throughput instrument configurations.

Targeted mass spectrometry analysis of the proteins XXXX , @entity5100 , @entity10513 , @entity2301 and A2GL by blood protein precipitation.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer diagnosis', 'breast cancer'] @entity2301 :: ('3486', 'Gene') :: ['IBP3'] @entity10513 :: ('3485', 'Gene') :: ['IBP2'] @entity442 :: ('3479', 'Gene') :: ['IGF1'] @entity5100 :: ('3481', 'Gene') :: ['IGF2']
@entity442 :: (3479,Gene) :: ['IGF1']
