[Large-scale enrichment and identification of human urinary N-glycoproteins/N-glycopeptides].

N-Glycosylation of proteins, an important post-translational modification in eukaryotic cells, plays an essential role in the regulation of cell adhesion, migration, signal transduction, and apoptosis. Abnormal changes in protein glycosylation are closely related to the occurrence of many critical diseases, including diabetes, tumors, and neurological, kidney, and inflammatory diseases. A non-invasive type of liquid biopsy, urine sampling has the advantage of reducing the complexity of proteomic analysis. This facilitates the design of large-scale and continuous or multi-time point sampling strategies. However, the dynamic range of urinary protein abundance is relatively large, owing to individual differences and physiological conditions. Currently, there is a lack of specialized research on individual differences, physiological fluctuations, and physiological abundance ranges of urinary N-glycoproteins in large healthy populations. Therefore, it is difficult to accurately distinguish individual differences and normal physiological fluctuations from changes caused by disease; this poses a great challenge in disease marker research. Liquid chromatography-mass spectrometry (LC-MS) is an analytical technique widely used for the large-scale profiling of proteomes in biological systems, and the enrichment of N-glycopeptides is a prerequisite for their detection by MS.In this study, we established an approach based on hydrophilic interaction chromatography (HILIC) by optimizing the activation, cleaning, and elution processes of the enrichment method, for instance through the optimization of particle size and solvent composition, and investigated the identification number, selectivity, and stability of N-glycoprotein/N-glycopeptide enrichment under different experimental conditions. We found that N-glycoproteins and N-glycopeptides were highly enriched in a trifluoroacetic acid system with 5-µm filling particles in the HILIC column. On this basis, we analyzed the levels of N-glycoproteins/N-glycopeptides in urine samples. The consistency of N-glycoprotein/N-glycopeptide levels in urine samples taken from the same healthy person for five consecutive days was investigated by correlation analysis. This analysis revealed that the urinary N-glycoproteome of the same healthy person was relatively stable over a short period of time. Next, urinary samples from 20 healthy male volunteers and 20 healthy female volunteers were enriched for N-glycoproteins/N-glycopeptides, which were profiled by MS through qualitative and quantitative analyses. Screening and functional analysis of differential proteins were then carried out. A total of 1016 N-glycoproteins and 2192 N-glycopeptides were identified in the mid-morning urine samples of the 40 healthy volunteers. A label-free quantitation strategy was used to investigate the fluctuation range of the physiologically abundant urinary N-glycopeptides. The abundance of urinary N-glycopeptides spanned across approximately five orders of magnitude. Subsequently, gender differences in the N-glycosylation levels of urinary proteins were also explored in healthy people. Functional analysis of the N-glycoproteins that exhibited gender differences in abundance was performed. Based on multivariate statistical analysis, 206 differentially expressed proteins (p<0.05, fold change (FC)> 4) were identified. In females, we found 175 significantly down-regulated N-glycoproteins and 31 significantly up-regulated N-glycoproteins with respect to males. The expression levels of N-glycopeptides between the two groups suggested a clear gender difference. To investigate the biological processes and functions of these proteins, gene ontology (GO) analysis was performed on the N-glycoproteins/N-glycopeptides differentially expressed between males and females. Metabolic pathway analysis was also carried out based on the kyoto encyclopedia of genes and genomes (KEGG). Differentially expressed N-glycoproteins were mostly associated with platelet degranulation, extracellular region, and ossification. The top three relevant pathways were glycan biosynthesis and metabolism, metabolism of cofactors and vitamins, and lipid metabolism. Overall, sex may be an important factor for urinary N-glycoproteome differences among normal individuals and should be considered in clinical applications. This study provides relevant information regarding the function and mechanisms of the urinary glycoproteome and the screening of clinical biomarkers.

Site- and structure-specific characterization of the human urinary N-glycoproteome with site-determining and structure-diagnostic product ions.

RATIONALE: N-glycosylation is one of the most common protein post-translational modifications; it is extremely complex with multiple glycoforms from different monosaccharide compositions, sequences, glycosidic linkages, and anomeric positions. Each glycoform functions with a particular site- and structure-specific N-glycan that can be fully characterized using state-of-the-art tandem mass spectrometry (MS/MS) and the intact N-glycopeptide database search engine GPSeeker that we recently developed. Urine has recently gained increasing attention as a non-invasive source for disease marker discovery. In this study, we report our structure-specific N-glycoproteomics study of human urine. METHODS: We performed trypsin digestion, Zwitterionic Hydrophilic Interaction chromatography (ZIC-HILIC) enrichment, C18-RPLC/nano-ESI-MS/MS using HCD with stepped normalized collisional energies, and GPSeeker database search for a comprehensive site- and structure-specific N-glycoproteomics characterization of the human urinary N-glycoproteome at the intact N-glycopeptide level. For this, we used b/y product ion pairs from the GlcNAc-containing site-determining peptide backbone and structure-diagnostic product ions from the N-glycan moieties, respectively. RESULTS: We identified 2986 intact N-glycopeptides with comprehensive site and structure information for the peptide backbones (amino acid sequences and N-glycosites) and the N-glycan moieties (monosaccharide compositions, sequences/linkages). The 2986 intact N-glycopeptide IDs corresponded to 754 putative N-glycan linkage structures on 419 N-glycosites of 450 peptide backbones from 327 intact N-glycoproteins. Next, 146 linkage structures and 200 N-glycosites were confirmed with structure-diagnostic and GlcNAc-containing site-determining product ions, respectively. CONCLUSIONS: We found 106 new N-glycosites not annotated in the current UniProt database. The elution-abundance patterns of urinary intact N-glycopeptide oxonium ions (m/z 138 and 204) of the same subject were temporally stable during the day and over 6 months. These patterns are rather different among different subjects. The results implied an interesting possibility that glycopeptide oxonium ion patterns could serve as distinguishing markers between individuals and/or between physiological and pathological states.

Effect of Vasopressin on the Hypothalamic-Pituitary-Adrenal Axis in ADPKD Patients during V2 Receptor Antagonism.

BACKGROUND: Patients with autosomal dominant polycystic kidney disease (ADPKD) are treated with a vasopressin V2 receptor antagonist (V2RA) to slow disease progression. This drug increases vasopressin considerably in these patients with already elevated baseline levels. Vasopressin is known to stimulate the hypothalamic-pituitary-adrenal (HPA) axis through V1 and V3 receptor activation. It is unknown whether this increase in vasopressin during V2RA treatment affects glucocorticoid production. METHODS: Twenty-seven ADPKD patients were studied on and off treatment with a V2RA and compared to age- and sex-matched healthy controls and IgA nephropathy patients, the latter also matched for kidney function. Vasopressin was measured by its surrogate copeptin. Twenty-four-hour urinary excretions of cortisol, cortisone, tetrahydrocortisone, tetrahydrocortisol, allotetrahydrocortisol, and the total glucocorticoid pool were measured. RESULTS: At baseline, ADPKD patients demonstrated a higher copeptin concentration in comparison with healthy controls, while urinary excretion of cortisol and cortisone was lower (medians of 0.23 vs. 0.34 µmol/24 h, p = 0.007, and 0.29 vs. 0.53 µmol/24 h, p < 0.001, respectively). There were no differences in cortisol and cortisone excretion compared to IgA nephropathy patients. Cortisol, cortisone, and total glucocorticoid excretions correlated with kidney function (R = 0.37, 0.58, and 0.19, respectively; all p < 0.05). Despite that V2RA treatment resulted in a 3-fold increase in copeptin, only cortisone excretion increased (median of 0.44 vs. baseline 0.29 µmol/24 h, p < 0.001), whereas no changes in cortisol or total glucocorticoid excretion were observed. CONCLUSIONS: Increased concentration of vasopressin in ADPKD patients at baseline and during V2RA treatment does not result in activation of the HPA axis. The impaired glucocorticoid production in these patients is related to their degree of kidney function impairment.

Recognition of urinary N-linked glycopeptides in kidney cancer patients by hydrophilic carbohydrate functionalized magnetic metal organic framework combined with LC-MS/MS.

A hydrophilic carbohydrate functionalized magnetic metal organic framework (Mag Zr-MOF@G6P) was synthesized via a facile one-step modification strategy for selective glycopeptide capture in virtue of hydrophilic interaction chromatography technique. The inherently hydrophilic Zr-MOF layer not only provides selective size-sieving pore structures but also offers large specific surface area to afford abundant affinity sites. Hydroxyl-rich glucose-6-phosphate was immobilized onto the Zr-MOF via a straightforward coordination manner to regulate its surface property, for the purpose of enhancing its hydrophilicity. Benefitting from the merits of Zr-MOF and glucose-6-phosphate, the as-designed composite exhibits good selectivity (the mass ratio of HRP digests to BSA digests was up to1:200) and low limit of detection (0.1 fmol µL-1) towards the recognition of glycopeptides from standard samples. More excitingly, glycopeptides in urine of healthy people and patients with kidney cancer were successfully enriched and identified by the combined liquid chromatography-mass spectrometry/mass spectrometry technology (LC-MS/MS). Further gene ontology analysis of molecular function and biological process revealed that 13 original glycoproteins of the identified glycopeptides from urine of patients significantly participate in diverse cancer-associated events, including collagen binding, immunoglobulin receptor binding, antigen binding, and complement activation process. Graphical abstract.

Deconstruction of Heterogeneity of Size-Dependent Exosome Subpopulations from Human Urine by Profiling N-Glycoproteomics and Phosphoproteomics Simultaneously.

The heterogeneous populations of exosomes with distinct nanosize have impeded our understanding of their corresponding function as intercellular communication agents. Profiling signaling proteins packaged in each size-dependent subtype can disclose this heterogeneity of exosomes. Herein, new strategy was developed for deconstructing heterogeneity of distinct-size urine exosome subpopulations by profiling N-glycoproteomics and phosphoproteomics simultaneously. Two-dimension size exclusion liquid chromatography (SEC) was utilized to isolate large exosomes (L-Exo), medium exosomes (M-Exo), and small exosomes (S-Exo) from human urine samples. Then, hydrophilic carbonyl-functionalized magnetic zirconium-organic framework (CFMZOF) was developed as probe for capturing the two kinds of post-translational modification (PTM) peptides simultaneously. Finally, liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with database search was used to characterize PTM protein contents. We identified 144 glycoproteins and 44 phosphoproteins from L-Exo, 156 glycoproteins, and 46 phosphoproteins from M-Exo and 134 glycoproteins and 10 phosphoproteins from S-Exo. The ratio of the proteins with simultaneous glycosylation and phosphorylation is 11%, 9%, and 3% in L-Exo, M-Exo, and S-Exo, respectively. Based on label-free quantification intensity results, both principal component analysis and Pearson's correlation coefficients indicate that distinct-size exosome subpopulations exist significant differences in PTM protein contents. Analysis of high abundance PTM proteins in each exosome subset reveals that the preferentially packaged PTM proteins in L-Exo, M-Exo, and S-Exo are associated with immune response, biological metabolism, and molecule transport processes, respectively. Our PTM proteomics study based on size-dependent exosome subtypes opens a new avenue for deconstructing the heterogeneity of exosomes.

Ampholine immobilized polymer microspheres for increasing coverage of human urinary proteome.

Urinary proteome, as an important component of body fluid proteome, could reflect kidney, urogenital tract function and pathological changes of human organs. This study reports a convenient strategy for urine proteome analysis through ampholine immobilized polymer microsphere (ampholine@PM) fractionation strategy. After ampholine@PM treatment, 16,543 unique peptides corresponding to 2173 non-redundant urinary proteins were identified, while only 856 proteins, corresponding to 3524 peptides were identified in the crude urine sample. The number of proteins and peptides was increased by 1.54 and 3.69 times, respectively. 31 urinary candidate biomarkers have also been identified (17 candidate biomarkers of glomerular injury and 14 candidate biomarkers of tubular injury), showing the potential of our strategy in urinary biomarker discovery study. In additional to the urine proteome, N-glycoproteome analysis was also performed after ampholine@PM fractionation followed by the N-glycopeptides enrichment. The number was increased from 144 to 281 for N-glycoproteins, 261 to 709 for N-glycopeptides, and 226 to 493 for N-glycosylation sites, after ampholine@PM treatment. Based on the significant increase on the identified N-glycoprotein number, ampholine@PM fractionation strategy also offered a beneficial tool for the post translational modification analysis of urine proteome.

The effectiveness of filtering glycopeptide peak list files for Y ions.

Intact glycopeptide analysis is becoming more common with developments in mass spectrometry instrumentation and fragmentation approaches. In particular, collision-based fragmentation approaches such as higher energy collisional dissociation (HCD) and radical-driven fragmentation approaches such as electron transfer dissociation (ETD) provide complementary information, but bioinformatic strategies to utilize this combined information are currently lacking. In this work we adapted a software tool, MS-Filter, to search HCD peak list files for predicted Y ions based on matched EThcD results to propose additional glycopeptide assignments. The strategy proved to be extremely powerful for O-glycopeptide data, and also of benefit for N-linked data, where it allowed rescue of low confidence results from database searching.

L-cysteine functionalized straticulate C3N4 for the selective enrichment of glycopeptides.

The facile enrichment of glycopeptides or glycoproteins poses great challenges for glycoproteomic research. In this study, a novel hydrophilic material, named zwitterionic hydrophilic L-cysteine derivatized straticulate-C3N4 composites (LCAC), were synthesized and evaluated for the enrichment of N-glycopeptides. LCAC exhibited good biocompatibility, excellent hydrophilicity and selectivity, by virtue of the large surface of C3N4 and the zwitterionic property offered by cysteine. LCAC demonstrated excellent performance for N-glycopeptide enrichment with the sensitivity of 0.033 fmol/µL, selectivity of 1:100, and high recovery rate (∼85%). The performance of LCAC was demonstrated by the identification of 35 N-glycopeptides from IgG, as well as capturing 1809 human urine N-glycopeptides corresponding to 876 N-glycoproteins. Comparing the LCAC with our developed phenylboronic acid functionalized material showed a certain complementary due to the different binding mechanism. The simple production and enhanced hydrophilic properties make the material a promising choice for glycoproteomics researches.

Glycans, Glycosite, and Intact Glycopeptide Analysis of N-Linked Glycoproteins Using Liquid Handling Systems.

Aberrant glycosylation has been shown to associate with disease progression, and with glycoproteins representing the major protein component of biological fluids this makes them attractive targets for disease monitoring. Leveraging glycoproteomic analysis via mass spectrometry (MS) could provide the insight into the altered glycosylation patterns that relate to disease progression. However, investigation of large sample cohorts requires rapid, efficient, and highly reproducible sample preparation. To address the limitation, we developed a high-throughput method for characterizing glycans, glycosites, and intact glycopeptides (IGPs) derived from N-linked glycoproteins. We combined disparate peptide enrichment strategies (i.e., hydrophilic and hydrophobic) and a liquid handling platform allowing for a high throughput and rapid enrichment of IGP in a 96-well plate format. The C18/MAX-Tip workflow reduced sample processing time and facilitated the selective enrichment of IGPs from complex samples. Furthermore, our approach enabled the analysis of deglycosylated peptides and glycans from enriched IGPs following PNGase F digest. Following development and optimization of the C18/MAX-Tip methodology using the standard glycoprotein, fetuin, we investigated normal urine samples to obtain N-linked glycoprotein information. Together, our method enables a high-throughput enrichment of glycan, glycosites, and IGPs from biological samples.

An Integrated Mass Spectroscopy Data Processing Strategy for Fast Identification, In-Depth, and Reproducible Quantification of Protein O-Glycosylation in a Large Cohort of Human Urine Samples.

Protein O-glycosylation has long been recognized to be closely associated with many diseases, particularly with tumor proliferation, invasion, and metastasis. The ability to efficiently profile the variation of O-glycosylation in large-scale clinical samples provides an important approach for the development of biomarkers for cancer diagnosis and for therapeutic response evaluation. Therefore, mass spectrometry (MS)-based techniques for high throughput, in-depth and reliable elucidation of protein O-glycosylation in large clinical cohorts are in high demand. However, the wide existence of serine and threonine residues in the proteome and the tens of mammalian O-glycan types lead to extremely large searching space composed of millions of theoretical combinations of peptides and O-glycans for intact O-glycopeptide database searching. As a result, an exceptionally long time is required for database searching, which is a major obstacle in O-glycoproteome studies of large clinical cohorts. More importantly, because of the low abundance and poor ionization of intact O-glycopeptides and the stochastic nature of data-dependent MS2 acquisition, substantially elevated missing data levels are inevitable as the sample number increases, which undermines the quantitative comparison across samples. Therefore, we report a new MS data processing strategy that integrates glycoform-specific database searching, reference library-based MS1 feature matching and MS2 identification propagation for fast identification, in-depth, and reproducible label-free quantification of O-glycosylation of human urinary proteins. This strategy increases the database searching speeds by up to 20-fold and leads to a 30%-40% enhanced intact O-glycopeptide quantification in individual samples with an obviously improved reproducibility. In total, we identified 1300 intact O-glycopeptides in 36 healthy human urine samples with a 30%-40% reduction in the amount of missing data. This is currently the largest dataset of urinary O-glycoproteome and demonstrates the application potential of this new strategy in large-scale clinical investigations.

Preparation of a thickness-controlled Mg-MOFs-based magnetic graphene composite as a novel hydrophilic matrix for the effective identification of the glycopeptide in the human urine.

The highly effective analysis of glycopeptides from complex biological samples is an attractive and critical topic all the time. In this study, a novel thickness-controlled hydrophilic Mg-metal organic frameworks (Mg-MOFs) coating-functionalized magnetic graphene composite (MagG@Mg-MOFs-1C) was prepared for the capture of the glycopeptides. The as-synthesized composite exhibits an ultralow limit of detection (0.1 fmol µL-1), a perfect size-exclusion effect (HRP digests/BSA protein/HRP protein, 1 : 500 : 500, w/w/w), and a high binding capacity (150 mg g-1), satisfying reusability and high recovery in the recognition of glycopeptides due to its outstanding characteristics including strong magnetic property, large surface area (617 m2 g-1), plenty of affinity sites, and excellent hydrophilicity. Furthermore, the MagG@Mg-MOFs-1C composite was successfully applied to selectively enriched glycopeptides in human urine. More excitingly, 406 N-glycosylation peptides corresponding to 185 glycoproteins were identified in the urine of the bladder cancer patients, in which these identified glycoproteins include the potential biomarkers (α-2-macroglobulin, complement C4-B, and α-1-antitrypsin) for the bladder cancer. This study suggests that the hydrophilic porous MOFs-functionalized composite has a great potential in the large-scale characterization of the low-abundance biomolecules in urine, opening a new avenue for the rapid and convenient diagnosis of the disease.

Phenylboronic acid functionalized C3N4 facultative hydrophilic materials for enhanced enrichment of glycopeptides.

It is challenging to capture N-glycopeptides with high recovery and high specificity from complicated biosystems. Herein, we present a facile and economical procedure to generate a novel self-assembling 4-Mercaptobenzene boronic acid functionalized and Au-doped Straticulate C3N4 (MASC), with enhanced affinity capability towards glycopeptides. The materials possess low pH value adaptation, high hydrophilicity and stability, good repeatability and recyclability, and provided high selectivity (1:100), low limit of detection (0.33 fmol/µL), high enrichment efficiency (~ 80%) and high recovery rate (~ 90%) towards glycopeptides. The materials can capture glycopeptides unbiasedly, as demonstrated by the identification of 37 glycopeptides from IgG and 21 glycopeptides from horseradish peroxidase (HRP). The performance of MASC on human urine and serum glycoproteome analysis was also tested. An average of 1465 glycopeptides from 839 glycoproteins and 1553 glycopeptides from 884 glycoproteins were identified from female and male urine samples in a single mass spectrometry analysis. O-glycopeptides from human urine were also significantly enriched. Additionally, 463 glycopeptides assigned to 209 glycoproteins were identified from 5 µL of human serum. All of these results indicate that MASC presents a good performance and applicability in the field of glycoproteomic research.

Urinary Glycopeptide Analysis for the Investigation of Novel Biomarkers.

PURPOSE: Urine is a rich source of potential biomarkers, including glycoproteins. Glycoproteomic analysis remains difficult due to the high heterogeneity of glycans. Nevertheless, recent advances in glycoproteomics software solutions facilitate glycopeptide identification and characterization. The aim is to investigate intact glycopeptides in the urinary peptide profiles of normal subjects using a novel PTM-centric software-Byonic. EXPERIMENTAL DESIGN: The urinary peptide profiles of 238 normal subjects, previously analyzed using CE-MS and CE-MS/MS and/or LC-MS/MS, are subjected to glycopeptide analysis. Additionally, glycopeptide distribution is assessed in a set of 969 patients with five different cancer types: bladder, prostate and pancreatic cancer, cholangiocarcinoma, and renal cell carcinoma. RESULTS: A total of 37 intact O-glycopeptides and 23 intact N-glycopeptides are identified in the urinary profiles of 238 normal subjects. Among the most commonly identified O-glycoproteins are Apolipoprotein C-III and insulin-like growth factor II, while titin among the N-glycoproteins. Further statistical analysis reveals that three O-glycopeptides and five N-glycopeptides differed significantly in their abundance among the different cancer types, comparing to normal subjects. CONCLUSIONS AND CLINICAL RELEVANCE: Through the established glycoproteomics workflow, intact O- and N-glycopeptides in human urine are identified and characterized, providing novel insights for further exploration of the glycoproteome with respect to specific diseases.

Elucidation of a Human Urine Metabolite as a Seryl-Leucine Glycopeptide and as a Biomarker of Effective Anti-Tuberculosis Therapy.

The evaluation of new tuberculosis (TB) therapies is limited by the paucity of biomarkers to monitor treatment response. Previous work detected an uncharacterized urine metabolite with a molecular mass of 874.3547 Da that showed promise as a biomarker for successful TB treatment. Using mass spectrometry combined with enzymatic digestions, the metabolite was structurally characterized as a seryl-leucine core 1 O-glycosylated peptide (SLC1G) of human origin. Examination of SLC1G in urine revealed a significant abundance increase in individuals with active TB versus their household contacts and healthy controls. Moreover, differential decreases in SLC1G levels were observed by week one in TB patients during successful treatment versus those that failed treatment. The SLC1G levels were also associated with clinical parameters used to measure bacterial burden (GeneXpert) and inflammation (positron emission tomography-computed tomography (PET-CT)). These results demonstrate the importance of metabolite identification and provide strong evidence for applying SLC1G as a biomarker of TB treatment response.

A sequential separation strategy for facile isolation and comprehensive analysis of human urine N-glycoproteome.

Urine is an attractive and non-invasive alternative source to tissue, blood or other biofluids for biomarker screening in clinical research. In normal human adult urine, 48% of the total urinary protein is in the sediment, 49% is soluble and the remaining 3% is contained in urinary extracellular vesicles (EVs). The soluble proteins and EV proteins in urine have attracted particular attention in recent years as cancer diagnostics. Furthermore, considering the important role of N-glycoproteins in practically all physiological processes, including regulating receptor-ligand binding, cell-cell interactions, inflammatory response and tumour progression, N-glycoproteome in human urine is an invaluable target for monitoring the physiological status and pathological changes of the kidney and urinary tract. Given the different origins of the soluble proteins and EV proteins in the urine, different N-glycoproteome patterns exist. Therefore, isolating the soluble N-glycoproteins and EV N-glycoproteins for separate analysis will provide a more specific and comprehensive view and provide a deeper understanding of human urinary N-glycoproteome. In this work, we developed a sequential separation method that isolates urinary soluble proteins and EV proteins via stepwise ultrafiltration based on their obvious size difference. A facile and reproducible protein isolation was achieved using this strategy. Subsequent N-glycoproteome enrichment and identification revealed distinct patterns in the two sub-proteomes of urine with more than 60% differential N-glycopeptides. A more comprehensive picture of the urinary N-glycoproteome with close to 1800 identified N-glycopeptides was obtained by this new analysis strategy, therefore making it advantageous for urinary biomarker screening. Graphical abstract A sequential separation method that isolates urinary soluble proteins and EV proteins via stepwise ultrafiltration was developed in this work. Subsequent N-glycopeptides enrichment and mass spectrometry analysis reveals distinct N-glycoproteome patterns in the two sub-proteomes of urine and a deep mapping of close to 1800 N-glycopeptides.

Status Report on the High-Throughput Characterization of Complex Intact O-Glycopeptide Mixtures.

A very complex mixture of intact, human N- and O-glycopeptides, enriched from the tryptic digest of urinary proteins of three healthy donors using a two-step lectin affinity enrichment, was analyzed by LC-MS/MS, leading to approximately 45,000 glycopeptide EThcD spectra. Two search engines, Byonic and Protein Prospector, were used for the interpretation of the data, and N- and O-linked glycopeptides were assigned from separate searches. The identification rate was very low in all searches, even when results were combined. Thus, we investigated the reasons why was it so, to help to improve the identification success rate. Focusing on O-linked glycopeptides, we noticed that in EThcD, larger glycan oxonium ions better survive the activation than those in HCD. These fragments, combined with reducing terminal Y ions, provide important information about the glycan(s) present, so we investigated whether filtering the peaklists for glycan oxonium ions indicating the presence of a tetra- or hexasaccharide structure would help to reveal all molecules containing such glycans. Our study showed that intact glycans frequently do not survive even mild supplemental activation, meaning one cannot rely on these oxonium ions exclusively. We found that ETD efficiency is still a limiting factor, and for highly glycosylated peptides, the only information revealed in EThcD was related to the glycan structures. The limited overlap of results delivered by the two search engines draws attention to the fact that automated data interpretation of O-linked glycopeptides is not even close to being solved. Graphical abstract ᅟ.

Effect of increased water intake on plasma copeptin in healthy adults.

PURPOSE: Inter-individual variation in median plasma copeptin is associated with incident type 2 diabetes mellitus, progression of chronic kidney disease, and cardiovascular events. In this study, we examined whether 24-h urine osmolality was associated with plasma copeptin and whether increasing daily water intake could impact circulating plasma copeptin. METHODS: This trial was a prospective study conducted at a single investigating center. Eighty-two healthy adults (age 23.6 ± 2.9 years, BMI 22.2 ± 1.5 kg/m2, 50% female) were stratified based upon habitual daily fluid intake volumes: arm A (50-80% of EFSA dietary reference values), arm B (81-120%), and arm C (121-200%). Following a baseline visit, arms A and B increased their water intake to match arm C for a period of 6 consecutive weeks. RESULTS: At baseline, plasma copeptin was positively and significantly associated with 24-h urine osmolality (p = 0.002) and 24-h urine specific gravity (p = 0.003) but not with plasma osmolality (p = 0.18), 24-h urine creatinine (p = 0.09), and total fluid intake (p = 0.52). Over the 6-week follow-up, copeptin decreased significantly from 5.18 (3.3;7.4) to 3.90 (2.7;5.7) pmol/L (p = 0.012), while urine osmolality and urine specific gravity decreased from 591 ± 206 to 364 ± 117 mOsm/kg (p < 0.001) and from 1.016 ± 0.005 to 1.010 ± 0.004 (p < 0.001), respectively. CONCLUSIONS: At baseline, circulating levels of copeptin were positively associated with 24-h urine concentration in healthy young subjects with various fluid intakes. Moreover, this study shows, for the first time, that increased water intake over 6 weeks results in an attenuation of circulating copeptin. CLINICAL TRIAL REGISTRATION NUMBER: NCT02044679.

Urine Concentrating Capacity, Vasopressin and Copeptin in ADPKD and IgA Nephropathy Patients with Renal Impairment.

BACKGROUND: Autosomal Dominant Polycystic Kidney Disease (ADPKD) patients have an impaired urine concentrating capacity. Increased circulating vasopressin (AVP) concentrations are supposed to play a role in the progression of ADPKD. We hypothesized that ADPKD patients have a more severely impaired urine concentrating capacity in comparison to other patients with chronic kidney disease at a similar level of kidney function, with consequently an enhanced AVP response to water deprivation with higher circulating AVP concentrations. METHODS: 15 ADPKD (eGFR<60) patients and 15 age-, sex- and eGFR-matched controls with IgA nephropathy (IgAN), underwent a water deprivation test to determine maximal urine concentrating capacity. Plasma and urine osmolality, urine aquaporin-2 (AQP2) and plasma AVP and copeptin (a surrogate marker for AVP) were measured at baseline and after water deprivation (average 16 hours). In ADPKD patients, height adjusted total kidney volume (hTKV) was measured by MRI. RESULTS: Maximal achieved urine concentration was lower in ADPKD compared to IgAN controls (533±138 vs. 642±148 mOsm/kg, p = 0.046), with particularly a lower maximal achieved urine urea concentration (223±74 vs. 299±72 mmol/L, p = 0.008). After water deprivation, plasma osmolality was similar in both groups although change in plasma osmolality was more profound in ADPKD due to a lower baseline plasma osmolality in comparison to IgAN controls. Copeptin and AVP increased significantly in a similar way in both groups. AVP, copeptin and urine AQP2 were inversely associated with maximal urine concentrating in both groups. CONCLUSIONS: ADPKD patients have a more severely impaired maximal urine concentrating capacity with a lower maximal achieved urine urea concentration in comparison to IgAN controls with similar endogenous copeptin and AVP responses.

Site-specific characterization of N-linked glycosylation in human urinary glycoproteins and endogenous glycopeptides.

Glycosylation is a very important post-translational modification involved in various cellular processes, such as cell adhesion, signal transduction and immune response. Urine is a rich source of glycoproteins and attractive biological fluid for biomarker discovery, owing to its availability, ease of collection, and correlation with pathophysiology of diseases. Although the urinary proteomics have been explored previously, the urinary glycoproteome characterization remains challenging requiring the development and optimization of analytical and bioinformatics methods for protein glycoprofiling. This study describes the high confident identification of 472 unique N-glycosylation sites covering 256 urinary glycoproteins. Besides, 202 unique N-glycosylation sites were identified in low molecular weight endogenous glycopeptides, which belong to 90 glycoproteins. Global site-specific characterization of the N-linked glycan heterogeneity was achieved by intact glycopeptide analysis, revealing 303 unique glycopeptides most of them displaying complex/hybrid glycans composed by sialic acid and fucose. These datasets consist in a valuable resource of glycoproteins and N-glycosylation sites found in healthy human urine that can be further explored in different disorders, in which the N-linked glycosylation may be aberrant.

Application of SELDI-TOF in N-glycopeptides profiling of the urine from patients with endometrial, ovarian and cervical cancer.

PURPOSE: Endometrial (ECa), ovarian (OCa) and cervical (CCa) cancers are among 10 of the most common cancers affecting women worldwide. Cancers are known to cause some proteins to be differentially glycosylated or aberrantly excreted in the urine, which can be used as biomarkers. Since ECa, OCa and CCa are difficult to diagnose at the early stage, the aim of the present study was to identify a panel of new biomarkers for early detection of the cancers using surface-enhanced laser desorption/ionization-time-of-flight (SELDI-TOF) technology. Identification of early biomarkers that are specific and efficient can increase the survival rate of the patients. EXPERIMENTAL DESIGN: Digested urinary proteins from patients with ECa, OCa and CCa were incubated on the champedak mannose-binding (CMB) lectin-immobilized PS10 chip. The lectin-captured glycopeptides were detected with SELDI-TOF mass spectrometry and followed by biomarker wizard analysis. RESULTS: Peaks m/z 1201 and 1449 were detected as potential group discriminators. The peak m/z 1201 could distinguish OCa from CCa and ECa and its sensitivity and specificity were 100%. For m/z 1449, it was able to differentiate ECa from the other two types of cancer. CONCLUSIONS: The findings of this study suggest urinary glycopeptides m/z 1201 and 1449 may serve as potential biomarkers for the early detection of ECa, OCa and CCa, although this requires further extensive validation on clinically representative populations.