Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum.

OBJECTIVES: The aim of this study was to develop high-throughput, quantitative and highly selective mass spectrometric, targeted immunoassays for clinically important proteins in human plasma or serum. DESIGN AND METHODS: The described method coupled mass spectrometric immunoassay (MSIA), a previously developed technique for immunoenrichment on a monolithic microcolumn activated with an anti-protein antibody and fixed in a pipette tip, to selected reaction monitoring (SRM) detection and accurate quantification of targeted peptides, including clinically relevant sequence or truncated variants. RESULTS: In this report, we demonstrate the rapid development of MSIA-SRM assays for sixteen different target proteins spanning seven different clinically important areas (including neurological, Alzheimer's, cardiovascular, endocrine function, cancer and other diseases) and ranging in concentration from pg/mL to mg/mL. The reported MSIA-SRM assays demonstrated high sensitivity (within published clinical ranges), precision, robustness and high-throughput as well as specific detection of clinically relevant isoforms for many of the target proteins. Most of the assays were tested with bona-fide clinical samples. In addition, positive correlations, (R2 0.67-0.87, depending on the target peptide), were demonstrated for MSIA-SRM assay data with clinical analyzer measurements of parathyroid hormone (PTH) and insulin growth factor 1 (IGF1) in clinical sample cohorts. CONCLUSIONS: We have presented a practical and scalable method for rapid development and deployment of MS-based SRM assays for clinically relevant proteins and measured levels of the target analytes in bona fide clinical samples. The method permits the specific quantification of individual protein isoforms and addresses the difficult problem of protein heterogeneity in clinical proteomics applications.

Retinol-binding protein 4 inhibits insulin signaling in adipocytes by inducing proinflammatory cytokines in macrophages through a c-Jun N-terminal kinase- and toll-like receptor 4-dependent and retinol-independent mechanism.

Retinol-binding protein 4 (RBP4), the sole retinol transporter in blood, is secreted from adipocytes and liver. Serum RBP4 levels correlate highly with insulin resistance, other metabolic syndrome factors, and cardiovascular disease. Elevated serum RBP4 causes insulin resistance, but the molecular mechanisms are unknown. Here we show that RBP4 induces expression of proinflammatory cytokines in mouse and human macrophages and thereby indirectly inhibits insulin signaling in cocultured adipocytes. This occurs through activation of c-Jun N-terminal protein kinase (JNK) and Toll-like receptor 4 (TLR4) pathways independent of the RBP4 receptor, STRA6. RBP4 effects are markedly attenuated in JNK1-/- JNK2-/- macrophages and TLR4-/- macrophages. Because RBP4 is a retinol-binding protein, we investigated whether these effects are retinol dependent. Unexpectedly, retinol-free RBP4 (apo-RBP4) is as potent as retinol-bound RBP4 (holo-RBP4) in inducing proinflammatory cytokines in macrophages. Apo-RBP4 is likely to be physiologically significant since RBP4/retinol ratios are increased in serum of lean and obese insulin-resistant humans compared to ratios in insulin-sensitive humans, indicating that higher apo-RBP4 is associated with insulin resistance independent of obesity. Thus, RBP4 may cause insulin resistance by contributing to the development of an inflammatory state in adipose tissue through activation of proinflammatory cytokines in macrophages. This process reveals a novel JNK- and TLR4-dependent and retinol- and STRA6-independent mechanism of action for RBP4.

High-throughput affinity mass spectrometry.

Affinity mass spectrometry (AMS) is a proteomics approach for selectively isolating target protein(s) from complex biological fluids for mass spectrometric analysis. The resulting high-content mass spectrometry (MS) data show the unique MS protein signatures (wild-type, posttranslationally modified, as well as genetically modified forms of the protein target) that are present within a biological sample. Information regarding such protein diversity is normally lost in classical proteomic or immunoassay analyses. This chapter presents a step-by-step description of high-throughput AMS in the population proteomic screening of the human plasma protein cystatin C.

Population proteomics: the concept, attributes, and potential for cancer biomarker research.

This review outlines the concept of population proteomics and its implication in the discovery and validation of cancer-specific protein modulations. Population proteomics is an applied subdiscipline of proteomics engaging in the investigation of human proteins across and within populations to define and better understand protein diversity. Population proteomics focuses on interrogation of specific proteins from large number of individuals, utilizing top-down, targeted affinity mass spectrometry approaches to probe protein modifications. Deglycosylation, sequence truncations, side-chain residue modifications, and other modifications have been reported for myriad of proteins, yet little is know about their incidence rate in the general population. Such information can be gathered via population proteomics and would greatly aid the biomarker discovery efforts. Discovery of novel protein modifications is also expected from such large scale population proteomics, expanding the protein knowledge database. In regard to cancer protein biomarkers, their validation via population proteomics-based approaches is advantageous as mass spectrometry detection is used both in the discovery and validation process, which is essential for the detection of those structurally modified protein biomarkers.

Development of recombinant-based mass spectrometric immunoassay with application to resistin expression profiling.

This report addresses the need for additional assays for human resistin (hRES) by developing a rational progression of the mass spectrometric immunoassay to incorporate recombinant proteins. The recombinant-based hRES mass spectrometric immunoassay (RES-MSIA) was initially developed for the qualitative analysis of the human resistin homodimer from normal (healthy) plasma samples. The method involved selective extraction and detection of both endogenous and recombinant resistant proteins. RES-MSIA was then applied to the rigorous quantification of resistin. The resistin standard addition curve was constructed from serially diluted concentrations of rhRES using endogenous hRES, inherent in the human plasma, as the internal reference standard (IRS). The roles of endogenous and recombinant resistin were subsequently reversed, using rhRES as the IRS during RES-MSIA quantification. Concurrently, the relative ratio of hRES to rhRES was used as an ancillary technique to rapidly determine the relative concentration of hRES in each of plasma samples. Overall, normal hRES levels determined by RES-MSIA were found to be comparable to those selected and determined by ELISA. With regard to gender, female donor samples were slightly elevated over males. Four single cardiac samples were analyzed and found to have hRES concentrations approximately three times that of the normal. The recombinant-based RES-MSIA is rapid and is amendable to parallel high-throughput robotic processing of resistin related disease cohorts.

Multiplexed DNA sequencing-by-synthesis.

We report a new DNA sequencing-by-synthesis method in which the sequences of DNA templates, hybridized to a surface-immobilized array of DNA primers, are determined by sensing the number of nucleotides by which the primers in each array spot are extended in sequential DNA polymerase-catalyzed nucleotide incorporation reactions, each with a single fluorescein-labeled deoxyribonucleoside triphosphate (dNTP) species. The fluorescein label is destroyed after each readout by a photostimulated reaction with diphenyliodonium chloride. A DNA polymerase with enhanced ability to incorporate, and to extend beyond, modified nucleotides is used. Self-quenching of adjacent fluorescein labels, which impedes readout of homopolymeric runs, is avoided by diluting the labeled dNTP with unlabeled reagent. Misincorporation effects have been quantified and are small; however, low-level contamination of dNTPs with other nucleotides mimics misincorporation and can produce significant false-positive signals. These impurities are removed by polymerase-catalyzed incorporation into complementary "cleaning duplexes." Here, we demonstrate the accurate sequence readout for a small array of known DNA templates, the ability to quantify homopolymeric runs, and a short sequencing example of sections of the wild-type and mutant BRCA1 gene. For a 20,000-spot array, readout rates in excess of 6000 bases per minute are projected.

Comparative urine protein phenotyping using mass spectrometric immunoassay.

Reported here, human urine samples were analyzed for beta-2-microglobulin (beta2m), transthyretin (TTR), cystatin C, urine protein 1 (UP1), retinol binding protein (RBP), albumin, transferrin, and human neutrophil defensin peptides (HNP) using mass spectrometric immunoassay (MSIA). MSIA is a unique analytical technique, which allows for the generation of distinct protein profiles of specific target proteins from each subject, which may be subsequently used in comparative protein expression profiling between all subjects. Comparative profiling allows for the rapid identification of variations within individual protein expression profiles. Although the majority of analyses performed in this study revealed homology between study participants, roughly one-quarter showed variation in the protein profiles. Some of these observed variants included a point mutation in TTR, absence of wild-type RBP, monomeric forms UP1, a novel beta2m glycated end product and altered HNP ratios. MSIA has been previously used in the analysis of blood proteins, but this study shows how MSIA easily transitions to the analysis, of urine samples. This study displays how qualitative urine protein differentiation is readily achievable with MSIA and is useful in identifying proteomic differences between subjects that might be otherwise overlooked with other analytical techniques due to complexity of the resulting data or insufficient sensitivity.