Identification, Measurement, and Assessment of the Clinical Utility of Human Pancreatic Polypeptide by Liquid Chromatography-Tandem Mass Spectrometry.

Human pancreatic polypeptide (HPP) is a 36 amino acid peptide hormone that plays a role in the bidirectional communication between the digestive system and the brain. HPP measurements are used to assess vagal nerve function following sham feeding and to detect gastroenteropancreatic-neuroendocrine tumors. These tests have historically been conducted by radioimmunoassays, but liquid chromatography-tandem mass spectrometry (LC-MS/MS) has several advantages such as improved specificity and elimination of radioactive molecules. Here, we present our LC-MS/MS method. Initially, samples were immunopurified and subjected to LC-high resolution accurate mass tandem mass spectrometry (HRAM-MS/MS) to identify circulating forms of the peptide in human plasma. We identified 23 forms of HPP, including several glycosylated forms. The most abundant peptides then were used for targeted LC-MS/MS measurements. LC-MS/MS performance for precision, accuracy, linearity, recovery, limit of detection, and carryover met our acceptance criteria based on CLIA regulations. Additionally, we observed the expected physiological rise in HPP in response to sham feeding. Our results indicate that HPP measurement by LC-MS/MS produces clinically equivalent results to our established immunoassay when several peptides are monitored, making it a suitable replacement. The measurement of peptide fragments, including modified species, might have additional clinical value.

Differentiation of Common IGF-1 Variants Using HRMS COM Determination with Follow-Up MS/MS Verification.

Insulin-like growth factor 1 (IGF-1), a peptide hormone regulator of growth hormone (GH), has common variants with differing functionality. These variants are a result of single amino acid changes in the peptide that can lead to significant changes in the resulting protein. The standard method of evaluating any of these variants is by using tandem mass spectrometry (MS/MS) methods. A novel method has been developed to evaluate some variants solely by high-resolution mass spectrometry (HRMS) of the intact peptide by calculating the center of mass (COM) of the [M + 7H]+7 isotopic distribution. This has allowed differentiation between the nonfunctional V44M variant and the A67T/A70T functional variants without the need for MS/MS. However, MS/MS is still needed to differentiate between the A67T and A70T variants. In this chapter we outline the LC-HRMS method for IGF-1 analysis with the inclusion of COM calculations and subsequent MS/MS differentiation.

Performance characteristics of the BRAHMS KRYPTOR automated squamous cell carcinoma antigen assay.

BACKGROUND: Squamous cell carcinoma antigen (SCCA) is a glycoprotein biomarker for squamous cell carcinoma (SCC). SCCA elevations have also been noted in other conditions. The purpose of this study was to evaluate the analytical and clinical performance of an automated SCCA homogenous immunofluorescent assay (BRAHMS KRYPTOR). METHODS: Reference intervals were determined using 119 samples from healthy donors. To assess clinical performance, samples were collected from patients with cervical (n = 12), head and neck (n = 23), lung (n = 14), or cutaneous (n = 11) SCC in addition to hepatocellular carcinoma, psoriasis, or atopic dermatitis. RESULTS: Upper 95th percentile sex-specific reference intervals were 2.00 µg/L for males and 1.67 µg/L for females. Intra- and inter-assay CVs were less than 5%. Comparison of the BRAHMS KRYPTOR to an ELISA SCCA immunoassay exhibited a correlation coefficient of 0.8809. The mean sensitivity for all SCC positive patients was 23.3%. With the exception of psoriasis (58.6%) specificity exceeded 95% for the non-SCC populations. CONCLUSION: The BRAHMS KRYPTOR SCCA assay showed good analytical performance and acceptable overall clinical specificity. Consistent with previous studies, the sensitivity of SCCA for SCC was low. In the absence of other robust circulating markers, SCCA remains an imperfect yet useful tool in the evaluation of SCC.

MALDI-TOF mass spectrometry can distinguish immunofixation bands of the same isotype as monoclonal or biclonal proteins.

BACKGROUND: Plasma cell disorders (PCDs) are typically characterized by excessive production of a single immunoglobulin, defined as a monoclonal protein (M-protein). Some patients have more than one identifiable M-protein, termed biclonal. Traditional immunofixation electrophoresis (IFE) cannot distinguish if two bands of the same isotype represent biclonal proteins or M-proteins with some other feature. A novel assay using immunoenrichment coupled to matrix-assisted laser desorption ionization time-of-flight mass-spectrometry (Mass-Fix) was applied to determine whether two bands of the same isotype represented (1) monomers and dimers of a single M-protein, (2) an M-protein plus a therapeutic monoclonal antibody (t-mAb), (3) an M-protein with light chain glycosylation, or (4) two distinct biclonal M-proteins. METHODS: Patient samples with two bands of the same isotype identified by IFE were enriched using nanobodies against IgG, IgA, IgM, or κ and λ light chains then analyzed by Mass-Fix. Light chain masses were used to differentiate IgGκ M-proteins from t-mAbs. Mass differences between peaks were calculated to identify N-glycosylation or matrix adducts. High-resolution mass spectrometry was used as a comparator method in a subset of samples. RESULTS: Eighty-one residual samples were collected. For IgA, 93% (n = 25) were identified as monoclonal. For IgG, 67% (n = 24) were monoclonal, and 33% (n = 12) were truly biclonal. Among the monoclonal IgGs, the second band represented a glycosylated form for 21% (n = 5), while 33% (n = 8) had masses consistent with a t-mAb. 44% (n = 8) of IgM samples were biclonal, and 56% (n = 10) were monoclonal, of which one was glycosylated. CONCLUSIONS: We demonstrate the utility of mass spectrometry in the characterization of multiple IFE bands of the same isotype. Improved reporting accuracy of M-proteins is useful for monitoring of patients with PCDs.

Measuring the contribution of Lp(a) cholesterol towards LDL-C interpretation.

BACKGROUND: Lipoprotein(a) [Lp(a)] is a pro-atherogenic and pro-thrombotic LDL-like particle recognized as an independent risk factor for cardiovascular disease (CVD). The cholesterol within Lp(a) (Lp(a)-C) contributes to the reported LDL-cholesterol (LDL-C) concentration by nearly all available methods. Accurate LDL-C measurements are critical for identification of genetic dyslipidemias such as familial hypercholesterolemia (FH). FH diagnostic criteria, such as the Dutch Lipid Clinic Network (DLCN) criteria, utilize LDL-C concentration cut-offs to assess the likelihood of FH. Therefore, failure to adjust for Lp(a)-C can impact accurate FH diagnosis and classification, appropriate follow-up testing and treatments, and interpretation of cholesterol-lowering treatment efficacy. OBJECTIVE: In this study, we use direct Lp(a)-C measurements to assess the potential misclassification of FH from contributions of Lp(a)-C to reported LDL-C in patient samples submitted for advanced lipoprotein profiling. METHODS: A total of 31,215 samples submitted for lipoprotein profiling were included. LDL-C was measured by beta quantification or calculated by one of three equations. Lp(a)-C was measured by quantitative lipoprotein electrophoresis. DLCN LDL-C cut-offs were applied to LDL-C results before and after accounting for Lp(a)-C contribution. RESULTS: Lp(a)-C was detected in 8665 (28%) samples. A total of 940 subjects were reclassified to a lower DLCN LDL-C categories; this represents 3% of the total patient series or 11% of subjects with measurable Lp(a)-C. CONCLUSION: Lp(a)-C is present in a significant portion of samples submitted for advanced lipid testing and could cause patient misclassification when using FH diagnostic criteria. These misclassifications could trigger inappropriate follow-up, treatment, and cascade testing for suspected FH.