Neurodegeneration and humoral response proteins in cerebrospinal fluid associate with pediatric-onset multiple sclerosis and not monophasic demyelinating syndromes in childhood.

BACKGROUND: Pediatric-onset multiple sclerosis (POMS) represents the earliest stage of disease pathogenesis. Investigating the cerebrospinal fluid (CSF) proteome in POMS may provide novel insights into early MS processes. OBJECTIVE: To analyze CSF obtained from children at time of initial central nervous system (CNS) acquired demyelinating syndrome (ADS), to compare CSF proteome of those subsequently ascertained as having POMS versus monophasic acquired demyelinating syndrome (mADS). METHODS: Patients were selected from two prospective pediatric ADS studies. Liquid chromatography-mass spectrometry (LC-MS) was performed in a Dutch discovery cohort (POMS n = 28; mADS n = 39). Parallel reaction monitoring-mass spectrometry (PRM-MS) was performed on selected proteins more abundant in POMS in a combined Dutch and Canadian validation cohort (POMS n = 48; mADS n = 106). RESULTS: Discovery identified 5580 peptides belonging to 576 proteins; 58 proteins were differentially abundant with ⩾2 peptides between POMS and mADS, of which 28 more abundant in POMS. Fourteen had increased abundance in POMS with ⩾8 unique peptides. Five selected proteins were all confirmed within validation. Adjusted for age, 2 out of 5 proteins remained more abundant in POMS, that is, Carboxypeptidase E (CPE) and Semaphorin-7A (SEMA7A). CONCLUSION: This exploratory study identified several CSF proteins associated with POMS and not mADS, potentially reflecting neurodegeneration, compensatory neuroprotection, and humoral response in POMS. The proteins associated with POMS highly correlated with age at CSF sampling.

Novel Antibody-Peptide Binding Assay Indicates Presence of Immunoglobulins against EGFR Phospho-Site S1166 in High-Grade Glioma.

We investigated the feasibility of detecting the presence of specific autoantibodies against potential tumor-associated peptide antigens by enriching these antibody-peptide complexes using Melon Gel resin and mass spectrometry. Our goal was to find tumor-associated phospho-sites that trigger immunoreactions and raise autoantibodies that are detectable in plasma of glioma patients. Such immunoglobulins can potentially be used as targets in immunotherapy. To that aim, we describe a method to detect the presence of antibodies in biological samples that are specific to selected clinically relevant peptides. The method is based on the formation of antibody-peptide complexes by mixing patient plasma with a glioblastoma multiforme (GBM) derived peptide library, enrichment of antibodies and antibody-peptide complexes, the separation of peptides after they are released from immunoglobulins by molecular weight filtration and finally mass spectrometric quantification of these peptides. As proof of concept, we successfully applied the method to dinitrophenyl (DNP)-labeled α-casein peptides mixed with anti-DNP. Further, we incubated human plasma with a phospho-peptide library and conducted targeted analysis on EGFR and GFAP phospho-peptides. As a result, immunoaffinity against phospho-peptide GSHQIS[+80]LDNPDYQQDFFPK (EGFR phospho-site S1166) was detected in high-grade glioma (HGG) patient plasma but not in healthy donor plasma. For the GFAP phospho-sites selected, such immunoaffinity was not observed.

Applying Log-Normal Peak Fitting to Parallel Reaction Monitoring Data Analysis.

Chromatographic separation is often an important part of mass-spectrometry-based proteomic analysis. It reduces the complexity of the initial samples before they are introduced to mass-spectrometric detection and chromatographic characteristics (such as retention time) add analytical features to the analyte. The acquisition and analysis of chromatographic data are thus of great importance, and specialized software is used for the extraction of quantitative information in an efficient and optimized manner. However, occasionally, automatic peak picking and correct peak boundary setting is challenged by, for instance, aberration of peak shape, peak truncation, and peak tailing, and a manual review of a large number of peaks is frequently required. To support this part of the analysis, we present here a software tool, Peakfit, that fits acquired chromatographic data to the log-normal peak equation and reports the calculated peak parameters. The program is written in R and can easily be integrated into Skyline, a popular software packages that is frequently used for proteomic parallel reaction monitoring applications. The program is capable of processing large data sets (>10 000 peaks) and detecting sporadic outliers in peak boundary selection performed, for instance, in Skyline. In an example data set, available via ProteomeXchange with identifier PXD026875, we demonstrated the capability of the program to characterize chromatographic peaks and showed an example of its ability to objectively and reproducibly detect and solve problematic peak-picking situations.

Identification of Blood-Brain Barrier-Associated Proteins in the Human Brain.

The blood-brain barrier (BBB) is essential for cerebral homeostasis and controls the selective passage of molecules traveling in and out of the brain. Despite the crucial role of the BBB in a variety of brain diseases and its relevance for the development of drugs, there is little known about its molecular architecture. In particular, the composition of the basal lamina between the astrocytic end-feet and the endothelial cells is only partly known. Here, we present a proteomic analysis of the basal lamina of the human BBB. We combined laser capture microdissection with shotgun proteomics for selective enrichment and identification of specific proteins present in the cerebral microvasculature and arachnoidal vessels collected from normal human brain tissue specimens. Proteins found to be associated with the blood-brain barrier were validated by immunohistochemistry. Expression of membrane protein MLC1 was found in all brain barriers. Phosphoglucomutase-like protein 5 appeared to be variably present along the outer part of intracerebral vessels, and multidrug resistance protein 1 was identified in both intracerebral, as well as arachnoidal blood vessels. The results demonstrate the presence of so far unidentified proteins in the human BBB and illustrate topic differences in their expression. In conclusion, we showed that sample purification by microdissection followed by shotgun proteomics provides a list of proteins identified in the BBB. Subsequent immunohistochemistry detailed the respective expression sites of membrane protein MLC1 and phosphoglucomutase-related protein 5. The role of the identified proteins in the functioning of the BBB needs further investigations.

Phosphorylation Ratio Determination in Fresh-Frozen and Formalin-Fixed Paraffin-Embedded Tissue with Targeted Mass Spectrometry.

Formalin-fixed paraffin-embedded (FFPE) tissues are routinely prepared and collected for diagnostics in pathology departments. These are, therefore, the most accessible research sources in pathology archives. In this study we investigated whether we can apply a targeted and quantitative parallel reaction monitoring (PRM) method for FFPE tissue samples in a sensitive and reproducible way. The feasibility of this technical approach was demonstrated for normal brain and glioblastoma multiforme tissues. Two methods were used: PRM measurement of a tryptic digest without phosphopeptide enrichment (Direct-PRM) and after Fe-NTA phosphopeptide enrichment (Fe-NTA-PRM). With these two methods, the phosphorylation ratio could be determined for four selected peptide pairs that originate from neuroblast differentiation-associated protein (AHNAK S5448-p), calcium/calmodulin-dependent protein kinase type II subunit delta (CAMK2D T337-p), eukaryotic translation initiation factor 4B (EIF4B S93-p), and epidermal growth factor receptor (EGFR S1166-p). In normal brain FFPE tissues, the Fe-NTA-PRM method enabled the quantification of targeted phosphorylated peptides with high reproducibility (CV < 14%). Our results indicate that formalin fixation does not impede relative quantification of a phospho-site and its phosphorylation ratio in FFPE tissues. The developed workflow combining these methods opens ways to study archival FFPE tissues for phosphorylation ratio determination in proteins.

Integrating Serum Protein Electrophoresis with Mass Spectrometry, A New Workflow for M-Protein Detection and Quantification.

Serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) are standard tools for multiple myeloma (MM) routine diagnostics. M-protein is a biomarker for MM that can be quantified with SPE and characterized with IFE. We have investigated combining SPE/IFE with targeted mass spectrometry (MS) to detect and quantify the M-protein. SPE-MS assay offers the possibility to detect M-protein with higher sensitivity than SPE/IFE, which could lead to better analysis of minimal residual disease in clinical laboratories. In addition, analysis of archived SPE gels could be used for retrospective MM studies. We have investigated two different approaches of measuring M-protein and therapeutic monoclonal antibodies (t-mAbs) from SPE/IFE gels. After extracting proteotypic peptides from the gel, they can be quantified using stable isotope labeled (SIL) peptides and measured by Orbitrap mass spectrometry. Alternatively, extracted peptides can be labeled with tandem mass tags (TMT). Both approaches are not hampered by the presence of t-mAbs. Using SIL peptides, limit of detection of the M-protein is approximately 100-fold better than with routine SPE/IFE. Using TMT labeling, M-protein can be compared in different samples from the same patient. We have successfully measured M-protein proteotypic peptides extracted from the SPE/IFE gels utilizing SIL peptides and TMT.

Alport syndrome: Proteomic analysis identifies early molecular pathway alterations in Col4a3 knock out mice.

AIM: Alport syndrome (AS) is the second most common hereditary kidney disease caused by mutations in collagen IV genes. Patients present with microhaematuria that progressively leads to proteinuria and end stage renal disease. Currently, no specific treatment exists for AS. Using mass spectrometry based proteomics, we aimed to detect early alterations in molecular pathways implicated in AS before the stage of overt proteinuria, which could be amenable to therapeutic intervention. METHODS: Kidneys were harvested from male Col4a3-/- knock out and sex and age-matched Col4a3+/+ wild-type mice at 4 weeks of age. Purified peptides were separated by liquid chromatography and analysed by high resolution mass spectrometry. The Cytoscape bioinformatics tool was used for function enrichment and pathway analysis. PPARα expression levels were evaluated by immunofluorescence and immunoblotting. RESULTS: Proteomic analysis identified 415 significantly differentially expressed proteins, which were mainly involved in metabolic and cellular processes, the extracellular matrix, binding and catalytic activity. Pathway enrichment analysis revealed among others, downregulation of the proteasome and PPAR pathways. PPARα protein expression levels were observed to be downregulated in Alport mice, supporting further the results of the discovery proteomics. CONCLUSION: This study provides additional evidence that alterations in proteins which participate in cellular metabolism and mitochondrial homeostasis in kidney cells are early events in the development of chronic kidney disease in AS. Of note is the dysregulation of the PPAR pathway, which is amenable to therapeutic intervention and provides a new potential target for therapy in AS.

Identification of 4-Hydroxyproline at the Xaa Position in Collagen by Mass Spectrometry.

Collagen has a triple helix form, structured by a [-Gly-Xaa-Yaa-] repetition, where Xaa and Yaa are amino acids. This repeating unit can be post-translationally modified by enzymes, where proline is often hydroxylated into hydroxyproline (Hyp). Two Hyp isomers occur in collagen: 4-hydroxyproline (4Hyp, Gly-Xaa-Pro, substrate for 4-prolyl hydroxylase) and 3-hydroxyproline (3Hyp, Gly-Pro-4Hyp, substrate for 3-prolyl hydroxylase). If 4Hyp is lacking at the Yaa position, then Pro at the Xaa position should remain unmodified. Nevertheless, in literature 41 positions have been described where Hyp occurs at the Xaa position (?xHyp) lacking an adjacent 4Hyp. We report four additional positions in liver and colorectal liver metastasis tissue (CRLM). We studied the sequence commonalities between the 45 known positions of ?xHyp. Alanine and glutamine were frequently present adjacent to ?xHyp. We showed that proline, position 584 in COL1A2, had a lower rate of modification in CRLM than in healthy liver. The isomeric identity of ?xHyp, that is, 3- and/or 4Hyp, remains unknown. We present a proof of principle identification of ?xHyp. This identification is based on liquid chromatography retention time differences and mass spectrometry using ETD-HCD fragmentation, complemented by ab initio calculations. Both techniques identify ?xHyp at position 584 in COL1A2 as 4-hydroxyproline (4xHyp).

Development of a Targeted Mass-Spectrometry Serum Assay To Quantify M-Protein in the Presence of Therapeutic Monoclonal Antibodies.

M-protein diagnostics can be compromised for patients receiving therapeutic monoclonal antibodies as treatment in multiple myeloma. Conventional techniques are often not able to distinguish between M-proteins and therapeutic monoclonal antibodies administered to the patient. This may prevent correct response assessment and can lead to overtreatment. We have developed a serum-based targeted mass-spectrometry assay to detect M-proteins, even in the presence of three therapeutic monoclonal antibodies (daratumumab, ipilimumab, and nivolumab). This assay can target proteotypic M-protein peptides as well as unique peptides derived from therapeutic monoclonal antibodies. We address the sensitivity in M-protein diagnostics and show that our mass-spectrometry assay is more than two orders of magnitude more sensitive than conventional M-protein diagnostics. The use of stable isotope-labeled peptides allows absolute quantification of the M-protein and increases the potential of assay standardization across multiple laboratories. Finally, we discuss the position of mass-spectrometry assays in monitoring minimal residual disease in multiple myeloma, which is currently dominated by molecular techniques based on plasma cell assessment that requires invasive bone marrow aspirations or biopsies.

Proteomic characterization of microdissected breast tissue environment provides a protein-level overview of malignant transformation.

Both healthy and cancerous breast tissue is heterogeneous, which is a bottleneck for proteomics-based biomarker analysis, as it obscures the cellular origin of a measured protein. We therefore aimed at obtaining a protein-level interpretation of malignant transformation through global proteome analysis of a variety of laser capture microdissected cells originating from benign and malignant breast tissues. We compared proteomic differences between these tissues, both from cells of epithelial origin and the stromal environment, and performed string analysis. Differences in protein abundances corresponded with several hallmarks of cancer, including loss of cell adhesion, transformation to a migratory phenotype, and enhanced energy metabolism. Furthermore, despite enriching for (tumor) epithelial cells, many changes to the extracellular matrix were detected in microdissected cells of epithelial origin. The stromal compartment was heterogeneous and richer in the number of fibroblast and immune cells in malignant sections, compared to benign tissue sections. Furthermore, stroma could be clearly divided into reactive and nonreactive based on extracellular matrix disassembly proteins. We conclude that proteomics analysis of both microdissected epithelium and stroma gives an additional layer of information and more detailed insight into malignant transformation.

The advantage of laser-capture microdissection over whole tissue analysis in proteomic profiling studies.

Laser-capture microdissection (LCM) offers a reliable cell population enrichment tool and has been successfully coupled to MS analysis. Despite this, most proteomic studies employ whole tissue lysate (WTL) analysis in the discovery of disease biomarkers and in profiling analyses. Furthermore, the influence of tissue heterogeneity in WTL analysis, nor its impact in biomarker discovery studies have been completely elucidated. In order to address this, we compared previously obtained high resolution MS data from a cohort of 38 breast cancer tissues, of which both LCM enriched tumor epithelial cells and WTL samples were analyzed. Label-free quantification (LFQ) analysis through MaxQuant software showed a significantly higher number of identified and quantified proteins in LCM enriched samples (3404) compared to WTLs (2837). Furthermore, WTL samples displayed a higher amount of missing data compared to LCM both at peptide and protein levels (p-value < 0.001). 2D analysis on co-expressed proteins revealed discrepant expression of immune system and lipid metabolisms related proteins between LCM and WTL samples. We hereby show that LCM better dissected the biology of breast tumor epithelial cells, possibly due to lower interference from surrounding tissues and highly abundant proteins. All data have been deposited in the ProteomeXchange with the dataset identifier PXD002381 (http://proteomecentral.proteomexchange.org/dataset/PXD002381).

Targeted MS Assay Predicting Tamoxifen Resistance in Estrogen-Receptor-Positive Breast Cancer Tissues and Sera.

We recently reported on the development of a 4-protein-based classifier (PDCD4, CGN, G3BP2, and OCIAD1) capable of predicting outcome to tamoxifen treatment in recurrent, estrogen-receptor-positive breast cancer based on high-resolution MS data. A precise and high-throughput assay to measure these proteins in a multiplexed, targeted fashion would be favorable to measure large numbers of patient samples to move these findings toward a clinical setting. By coupling immunoprecipitation to multiple reaction monitoring (MRM) MS and stable isotope dilution, we developed a high-precision assay to measure the 4-protein signature in 38 primary breast cancer whole tissue lysates (WTLs). Furthermore, we evaluated the presence and patient stratification capabilities of our signature in an independent set of 24 matched (pre- and post-therapy) sera. We compared the performance of immuno-MRM (iMRM) with direct MRM in the absence of fractionation and shotgun proteomics in combination with label-free quantification (LFQ) on both WTL and laser capture microdissected (LCM) tissues. Measurement of the 4-proteins by iMRM showed not only higher accuracy in measuring proteotypic peptides (Spearman r: 0.74 to 0.93) when compared with MRM (Spearman r: 0.0 to 0.76) but also significantly discriminated patient groups based on treatment outcome (hazard ratio [HR]: 10.96; 95% confidence interval [CI]: 4.33 to 27.76; Log-rank P < 0.001) when compared with LCM (HR: 2.85; 95% CI: 1.24 to 6.54; Log-rank P = 0.013) and WTL (HR: 1.16; 95% CI: 0.57 to 2.33; Log-rank P = 0.680) LFQ-based predictors. Serum sample analysis by iMRM confirmed the detection of the four proteins in these samples. We hereby report that iMRM outperformed regular MRM, confirmed our previous high-resolution MS results in tumor tissues, and has shown that the 4-protein signature is measurable in serum samples.

Proteomics urine analysis of pregnant women suffering from multiple sclerosis.

Multiple sclerosis (MScl) frequently is remitted during the third trimester of pregnancy but exacerbated in the first postpartum period. In this context, we investigated protein identification, its abundance, and its change in urine related to these two periods. Using mass spectrometry (LTQ Orbitrap), we identified 1699 tryptic peptides (related to 402 proteins) in urine from 31 MScl and 8 control at these two periods. Pregnancy-related peptides were significantly elevated (p < 0.01) in MScl patients compared with controls (Analysis 1: 531 peptides in MScl and 36 peptides in controls higher abundant in the third trimester compared to postpartum). When comparing the longitudinal differences (Analysis 2), we identified 43 (related to 35 proteins) MScl disease-associated peptides (p < 0.01) with increased or decreased difference ratio in MScl compared with controls. The most discriminating peptides identified were trefoil factor 3 and lysosomal-associated membrane protein 2. Both proteins have a role in the innate immune system. Three proteins with a significant decreased ratio were plasma glutamate carboxypeptidase, Ig mu chain C region, and osteoclast associated immune like receptor. Our results indicate that the protein expression pattern in urine of MScl patients contains information about remote CNS and brain disease processes.

Integrative analysis of genomics and proteomics data on clinical breast cancer tissue specimens extracted with acid guanidinium thiocyanate-phenol-chloroform.

Acid guanidinium thiocyanate, phenol, and chloroform extraction (AGPC) is a commonly used procedure to extract RNA from fresh frozen tissues and cell lines. In addition, DNA and proteins can be recovered, which makes AGPC an attractive source for integrative analysis on tissues of which little material is available, such as clinical specimens. Despite this potential, AGPC has only scarcely been used for proteomic analysis, mainly due to difficulties in extracting proteins. We have used a quantitative mass spectrometry method to show that proteins can readily be recovered from AGPC extracted tissues with high recovery and repeatability, which allows this method to be used for global proteomic profiling. Protein expression data for a selected number of clinically relevant markers, of which transcript and protein levels are known to be correlated, were in agreement with genomic and transcriptomic data obtained from the same AGPC lysate. Furthermore, global proteomic profiling successfully discriminated breast tumor tissues according to their clinical subtype. Lastly, a reference gene set of differentially expressed transcripts was strongly enriched in the differentially abundant proteins in our cohort. AGPC lysates are therefore well suited for comparative protein and integrative analyses.

Cerebrospinal-fluid-derived immunoglobulin G of different multiple sclerosis patients shares mutated sequences in complementarity determining regions.

B lymphocytes play a pivotal role in multiple sclerosis pathology, possibly via both antibody-dependent and -independent pathways. Intrathecal immunoglobulin G in multiple sclerosis is produced by clonally expanded B-cell populations. Recent studies indicate that the complementarity determining regions of immunoglobulins specific for certain antigens are frequently shared between different individuals. In this study, our main objective was to identify specific proteomic profiles of mutated complementarity determining regions of immunoglobulin G present in multiple sclerosis patients but absent in healthy controls. To achieve this objective, we purified immunoglobulin G from the cerebrospinal fluid of 29 multiple sclerosis patients and 30 healthy controls and separated the corresponding heavy and light chains via SDS-PAGE. Subsequently, bands were excised, trypsinized, and measured with high-resolution mass spectrometry. We sequenced 841 heavy and 771 light chain variable region peptides. We observed 24 heavy and 26 light chain complementarity determining regions that were solely present in a number of multiple sclerosis patients. Using stringent criteria for the identification of common peptides, we found five complementarity determining regions shared in three or more patients and not in controls. Interestingly, one complementarity determining region with a single mutation was found in six patients. Additionally, one other patient carrying a similar complementarity determining region with another mutation was observed. In addition, we found a skew in the κ-to-λ ratio and in the usage of certain variable heavy regions that was previously observed at the transcriptome level. At the protein level, cerebrospinal fluid immunoglobulin G shares common characteristics in the antigen binding region among different multiple sclerosis patients. The indication of a shared fingerprint may indicate common antigens for B-cell activation.

An integrated top-down and bottom-up proteomic approach to characterize the antigen-binding fragment of antibodies.

We have previously shown that different individuals exposed to the same antigen produce antibodies with identical mutations in their complementarity determining regions (CDR), suggesting that CDR tryptic peptides can serve as biomarkers for disease diagnosis and prognosis. Complete Fabs derived from disease specific antibodies have even higher potential; they could potentially be used for disease treatment and are required to identify the antigens toward which the antibodies are directed. However, complete Fab sequence characterization via LC-MS analysis of tryptic peptides (i.e. bottom-up) has proven to be impractical for mixtures of antibodies. To tackle this challenge, we have developed an integrated bottom-up and top-down MS approach, employing 2D chromatography coupled with Fourier transform mass spectrometry (FTMS), and applied this approach for full characterization of the variable parts of two pharmaceutical monoclonal antibodies with sensitivity comparable to the bottom-up standard. These efforts represent an essential step toward the identification of disease specific antibodies in patient samples with potentially significant clinical impact.

Uncovering effects of ex vivo protease activity during proteomics and peptidomics sample extraction in rat brain tissue by oxygen-18 labeling.

In biological samples, proteins and peptides are altered by proteolytic activity. The actual ex vivo form of the peptidome or proteome analyzed, therefore, does not always reflect the natural in vivo state. Sample stabilization and sample treatment are thereby decisive for how far these two states diverge. To assess ex vivo formation of peptides, we used enzymatic incorporation of oxygen-18 water during proteolysis (PALeO approach) to label ex-vivo-formed peptides in rodent brain tissue. Rates of ex-vivo-formed peptides were determined in 25 samples that were stabilized and treated by six different protocols, whereby samples were subjected to different conditions such as temperature, urea concentration, and duration of treatment. Samples were measured by nano LC-Orbitrap-MS, and incorporation of oxygen-18 was determined by MS/MS database search and analysis of the precursor isotope pattern. Extent of ex vivo degradations was affected relevantly by the sample treatment protocol applied and stopped almost completely by heat stabilization. Determination of the formation state by oxygen-18 incorporation by MS/MS database search correlated well to more elaborate analysis of the MS isotope pattern. Overall, oxygen-18 labeling in combination with shotgun data-acquisition and MS/MS database search offers an adjuvant and easily applicable tool to monitor sample quality and fidelity in peptide and neuropeptide sample preparations.

A proteome comparison between physiological angiogenesis and angiogenesis in glioblastoma.

The molecular pathways involved in neovascularization of regenerating tissues and tumor angiogenesis resemble each other. However, the regulatory mechanisms of neovascularization under neoplastic circumstances are unbalanced leading to abnormal protein expression patterns resulting in the formation of defective and often abortive tumor vessels. Because gliomas are among the most vascularized tumors, we compared the protein expression profiles of proliferating vessels in glioblastoma with those in tissues in which physiological angiogenesis takes place. By using a combination of laser microdissection and LTQ Orbitrap mass spectrometry comparisons of protein profiles were made. The approach yielded 29 and 12 differentially expressed proteins for glioblastoma and endometrium blood vessels, respectively. The aberrant expression of five proteins, i.e. periostin, tenascin-C, TGF-beta induced protein, integrin alpha-V, and laminin subunit beta-2 were validated by immunohistochemistry. In addition, pathway analysis of the differentially expressed proteins was performed and significant differences in the usage of angiogenic pathways were found. We conclude that there are essential differences in protein expression profiles between tumor and normal physiological angiogenesis.

Improved detection of tryptic immunoglobulin variable region peptides by chromatographic and gas-phase fractionation techniques.

The polyclonal repertoire of circulating antibodies potentially holds valuable information about an individual's humoral immune state. While bottom-up proteomics is well suited for serum proteomics, the vast number of antibodies and dynamic range of serum challenge this analysis. To acquire the serum proteome more comprehensively, we incorporated high-field asymmetric waveform ion-mobility spectrometry (FAIMS) or two-dimensional chromatography into standard trypsin-based bottom-up proteomics. Thereby, the number of variable region (VR)-related spectra increased 1.7-fold with FAIMS and 10-fold with chromatography fractionation. To match antibody VRs to spectra, we combined de novo searching and BLAST alignment. Validation of this approach showed that, as peptide length increased, the de novo accuracy decreased and BLAST performance increased. Through in silico calculations on antibody repository sequences, we determined the uniqueness of tryptic VR peptides and their suitability as antibody surrogate. Approximately one-third of these peptides were unique, and about one-third of all antibodies contained at least one unique peptide.

Serum proteomics in amnestic mild cognitive impairment.

We have explored proteins related to mild cognitive impairment (MCI). The serum proteome of 35 amnestic MCI patients and 35 cognitively healthy persons was investigated by LC MS. We identified 108 differentially expressed peptides between MCI patients and controls, belonging to 39 proteins. Eight proteins were selected for further investigation by quantitative protein measurements using a MRM assay; apolipoprotein E, carboxypeptidase N subunit 2, complement factor B (CFAB), galectin-3 binding protein (LG3BP), lumican, serum amyloid A-4 protein (SAA4), serum amyloid P-component, and sex hormone binding globulin. Results of the quantitative protein measurements showed significantly decreased levels of carboxypeptidase N subunit 2, CFAB, LG3BP, SAA4, and serum amyloid P-component in serum from amnestic MCI patients compared with cognitive healthy controls (two-sided t-test; p < 0.05). Apolipoprotein E and lumican showed no significant difference in protein levels, sex hormone binding globulin could not be quantified since the MRM assay did not reach the required sensitivity. A model based on the three most significantly decreased proteins (CFAB, LG3BP, and SAA4) showed a sensitivity and specificity of 73 and 66%, respectively, for the initial sample set. A small external validation set yielded 77% sensitivity and 75% specificity.