Nutritional and Clinical Glycomics Research

Author: laurenmd (Page 4 of 9)

2014 Publications

Dallas, D.C., A. Guerrero, N. Khaldi, R. Borghese, A. Bhandari, M.A. Underwood, C.B. Lebrilla, J.B. German, and D. Barile, A Peptidomic Analysis of Human Milk Digestion in the Infant Stomach Reveals Protein-Specific Degradation Patterns. J Nutr, 2014.

Dallas, D.C., A. Guerrero, E.A. Parker, R.C. Robinson, J. Gan, J.B. German, D. Barile, and C.B. Lebrilla, Current peptidomics- Applications, purification, identification, quantification, and functional analysis. Proteomics, 2014.

Dallas, D.C., V. Weinborn, J.M. de Moura Bell, M. Wang, E.A. Parker, A. Guerrero, K.A. Hettinga, C.B. Lebrilla, J.B. German, and D. Barile, Comprehensive peptidomic and glycomic evaluation reveals that sweet whey permeate from colostrum is a source of milk protein-derived peptides and oligosaccharides Food Res Int, 2014. 63(Pt B): p. 203-209.

Dallas, D.C., C.J. Smink, R.C. Robinson, T. Tian, A. Guerrero, E.A. Parker, J.T. Smilowitz, K.A. Hettinga, M.A. Underwood, C.B. Lebrilla, J.B. German, and D. Barile, Endogenous Human Milk Peptide Release Is Greater after Preterm Birth than Term Birth.. J Nutr, 2014.

De Leoz, M.L., K.M. Kalanetra, N.A. Bokulich, J.S. Strum, M.A. Underwood, J.B. German, D.A. Mills, and C.B. Lebrilla, Human Milk Glycomics and Gut Microbial Genomics in Infant Feces Show a Correlation between Human Milk Oligosaccharides and Gut Microbiota- A Proof-of-Concept StudyJ Proteome Res, 2014.

Guerrero, A., D.C. Dallas, S. Contreras, S. Chee, E.A. Parker, X. Sun, L. Dimapasoc, D. Barile, J.B. German, and C.B. Lebrilla, Mechanistic peptidomics- factors that dictate specificity in the formation of endogenous peptides in human milk. Mol Cell Proteomics, 2014. 13(12): p. 3343-51.

Guerrero, A., L. Lerno, D. Barile, and C.B. Lebrilla, Top-Down Analysis of Highly Post-Translationally Modified Peptides by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry J Am Soc Mass Spectrom, 2014.

Holton, T.A., V. Vijayakumar, D.C. Dallas, A. Guerrero, R.A. Borghese, C.B. Lebrilla, J.B. German, D. Barile, M.A. Underwood, D.C. Shields, and N. Khaldi, Following the digestion of milk proteins from mother to baby J Proteome Res, 2014. 13(12): p. 5777-83.

Kailemia, M.K., L.R. Ruhaak, C.B. Lebrilla, and I.J. Amster,Oligosaccharide Analysis by Mass Spectrometry- A Review of Recent Developments.: A Review Of Recent Developments. Anal Chem, 2013.

Khaldi, N., V. Vijayakumar, D.C. Dallas, A. Guerrero, S. Wickramasinghe, J.T. Smilowitz, J.F. Medrano, C.B. Lebrilla, D.C. Shields, and J.B. German, Predicting the important enzyme players in human breast milk digestion. J Agric Food Chem, 2014.

Kim, K., L.R. Ruhaak, U.T. Nguyen, S.L. Taylor, L. Dimapasoc, C. Williams, C. Stroble, S. Ozcan, S. Miyamoto, C.B. Lebrilla, and G.S. Leiserowitz, Evaluation of Glycomic Profiling as a Diagnostic Biomarker for Epithelial Ovarian Cancer. Cancer Epidemiol Biomarkers Prev, 2014.

Hong, Q., L.R. Ruhaak, S.M. Totten, J.T. Smilowitz, J.B. German, and C.B. Lebrilla, Label Free Absolute Quantitation of Oligosaccharides using Multiple Reaction Monitoring., 2014.

Hua, S., M. Saunders, L.M. Dimapasoc, S.H. Jeong, B.J. Kim, S. Kim, M. So, K.S. Lee, J.H. Kim, K.S. Lam, C.B. Lebrilla, and H.J. An, Differentiation of Cancer Cell Origin and Molecular Subtype by Plasma Membrane N-Glycan Profiling.. J Proteome Res, 2013.

Huang, J., H. Lee, A.M. Zivkovic, J.T. Smilowitz, N. Rivera, J.B. German, and C.B. Lebrilla, Glycomic Analysis of High Density Lipoprotein Shows a Highly Sialylated Particle J Proteome Res, 2014.

Mehra, R., D. Barile, M. Marotta, C.B. Lebrilla, C. Chu, and J.B. German, Novel high-molecular weight fucosylated milk oligosaccharides identified in dairy streams. PLoS One, 2014. 9(5): p. e96040.

Ozcan, S., B.J. Kim, G. Ro, J.H. Kim, T.L. Bereuter, C. Reiter, L. Dimapasoc, D. Garrido, D.A. Mills, R. Grimm, C.B. Lebrilla, and H.J. An, Glycosylated proteins preserved over millennia- N-glycan analysis of Tyrolean Iceman, Scythian Princess and Warrior.. Sci Rep, 2014. 4: p. 4963.

Ozcan, S., D.A. Barkauskas, L. Renee Ruhaak, J. Torres, C.L. Cooke, H.J. An, S. Hua, C.C. Williams, L.M. Dimapasoc, J. Han Kim, M. Camorlinga-Ponce, D. Rocke, C.B. Lebrilla, and J.V. Solnick, Serum glycan signatures of gastric cancer.. Cancer Prev Res (Phila), 2014. 7(2): p. 226-35.

Ruhaak, L.R., C. Stroble, M.A. Underwood, and C.B. Lebrilla, Detection of milk oligosaccharides in plasma of infants.. Anal Bioanal Chem, 2014.

Smilowitz, J.T., C.B. Lebrilla, D.A. Mills, J.B. German, and S.L. Freeman, Breast Milk Oligosaccharides- Structure-Function Relationships in the Neonate. Annu Rev Nutr, 2013.

Song, T., S. Ozcan, A. Becker, and C.B. Lebrilla, In-Depth Method for the Characterization of Glycosylation in Manufactured Recombinant Monoclonal Antibody Drugs. Anal Chem, 2014.

Totten, S.M., L.D. Wu, E.A. Parker, J.C. Davis, S. Hua, C. Stroble, L.R. Ruhaak, J.T. Smilowitz, J.B. German, and C.B. Lebrilla, Rapid-throughput glycomics applied to human milk oligosaccharide profiling for large human studies. Anal Bioanal Chem, 2014. 406(30): p. 7925-35.

Underwood, M.A., K.M. Kalanetra, N.A. Bokulich, M. Mirmiran, D. Barile, D.J. Tancredi, J.B. German, C.B. Lebrilla, and D.A. Mills, Prebiotic Oligosaccharides In Premature Infants, 2014. 58(3): p. 352-60.

New Publications!

Bondoc, K. G., et al. (2013). “Chemical fingerprinting and phylogenetic mapping of saponin congeners from three tropical holothurian sea cucumbers.” Comp Biochem Physiol B Biochem Mol Biol 166(3-4): 182-193.
Holothurians are sedentary marine organisms known to produce saponins (triterpene glycosides), secondary metabolites exhibiting a wide range of biological activities. In this paper, we investigated the saponin contents of semi-purified and membranolytic HPLC fractionated extracts from the body wall of three species of Holothuriidae as an attempt to examine its chemical diversity in relation to phylogenetic data. MALDI-FTICR MS and nano-HPLC-chip Q-TOF MS were used for mass profiling and isomer separation, respectively giving a unique chemical saponin fingerprint. Moreover, the methods used yield the highest number of congeners. However, saponin concentration, bioactivity and chemical diversity had no apparent relationship. MS fingerprint showed the presence of holothurinosides, which was observed for the first time in other Holothuria genera besides the basally positioned Holothuria forskali. This congener is proposed to be a primitive character that could be used for taxonomic purposes. The phylogenetic mapping also showed that the glycone part of the compound evolved from non-sulfated hexaosides to sulfated tetraosides, which have higher membranolytic activity and hydrophilicity, the two factors affecting the total ecological activity (i.e. chemical defense) of these compounds. This might be an adaptation to increase the fitness of the organism.

Guerrero, A. and C. B. Lebrilla (2013). “New strategies for resolving oligosaccharide isomers by exploiting mechanistic and thermochemical aspects of fragment ion formation.” Int J Mass Spectrom 354-355.
Three complementary experimental approaches for elucidating human milk oligosaccharide (HMOs) isomers by Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR) are described: tandem-MS disruption by double resonance to distinguish different fragmentation pathways, examination of fragment intensity ratios arising from differential alkali metal ion affinities and monitoring competitive fragmentation rates. The interpretation of the fragmentation pattern from a mechanistic and thermochemical point of view permits the assignment of not only pure isomers but, in some cases, mixtures of them. Methodologically the procedures are simple, reliable and rapid making unnecessary both the use of previous separation techniques and tedious chemical modifications of the HMOs. In principle, the rationale can be expanded to resolve other isomeric mixtures of biological nature.

Hong, Q., et al. (2013). “Absolute quantitation of immunoglobulin G and its glycoforms using multiple reaction monitoring.” Anal Chem 85(18): 8585-8593.
Studies aimed toward glycan biomarker discovery have focused on glycan characterization by the global profiling of released glycans. Site-specific glycosylation analysis is less developed but may provide new types of biomarkers with higher sensitivity and specificity. Quantitation of peptide-conjugated glycans directly facilitates the differential analysis of distinct glycoforms associated with specific proteins at distinct sites. We have developed a method using MRM to monitor protein glycosylation normalized to absolute protein concentrations to examine quantitative changes in glycosylation at a site-specific level. This new approach provides information regarding both the absolute amount of protein and the site-specific glycosylation profile and will thus be useful to determine if altered glycosylation profiles in serum/plasma are due to a change in protein glycosylation or a change in protein concentration. The remarkable sensitivity and selectivity of MRM enable the detection of low abundance IgG glycopeptides, even when IgG was digested directly in serum with no cleanup prior to the liquid chromatography. Our results show a low limit of detection of 60 amol and a wide dynamic range of 3 orders magnitude for IgG protein quantitation. The results show that IgG glycopeptides can be analyzed directly from serum (without enrichment) and yield more accurate abundances when normalized to the protein content. This report represents the most comprehensive study so far of the use of multiple reaction monitoring for the quantitation of glycoproteins and their glycosylation patterns in biofluids.

Hua, S., et al. (2013). “Glyco-analytical multispecific proteolysis (Glyco-AMP): a simple method for detailed and quantitative Glycoproteomic characterization.” J Proteome Res 12(10): 4414-4423.
Despite recent advances, site-specific profiling of protein glycosylation remains a significant analytical challenge for conventional proteomic methodology. To alleviate the issue, we propose glyco-analytical multispecific proteolysis (Glyco-AMP) as a strategy for glycoproteomic characterization. Glyco-AMP consists of rapid, in-solution digestion of an analyte glycoprotein (or glycoprotein mixture) by a multispecific protease (or protease cocktail). Resulting glycopeptides are chromatographically separated by isomer-specific porous graphitized carbon nano-LC, quantified by high-resolution MS, and structurally elucidated by MS/MS. To demonstrate the consistency and customizability of Glyco-AMP methodology, the glyco-analytical performances of multispecific proteases subtilisin, pronase, and proteinase K were characterized in terms of quantitative accuracy, sensitivity, and digestion kinetics. Glyco-AMP was shown be effective on glycoprotein mixtures as well as glycoproteins with multiple glycosylation sites, providing detailed, quantitative, site- and structure-specific information about protein glycosylation.

Hua, S., et al. (2013). “Differentiation of Cancer Cell Origin and Molecular Subtype by Plasma Membrane N-Glycan Profiling.” J Proteome Res.
In clinical settings, biopsies are routinely used to determine cancer type and grade based on tumor cell morphology, as determined via histochemical or immunohistochemical staining. Unfortunately, in a significant number of cases, traditional biopsy results are either inconclusive or do not provide full subtype differentiation, possibly leading to inefficient or ineffective treatment. Glycomic profiling of the cell membrane offers an alternate route towards cancer diagnosis. In this study, isomer-sensitive nano-LC/MS was used to directly obtain detailed profiles of the different N-glycan structures present on cancer cell membranes. Membrane N-glycans were extracted from cells representing various subtypes of breast, lung, cervical, ovarian, and lymphatic cancer. Chip-based porous graphitized carbon nano-LC/MS was used to separate, identify, and quantify the native N-glycans. Structure-sensitive N-glycan profiling identified hundreds of glycan peaks per cell line, including multiple isomers for most compositions. Hierarchical clusterings based on Pearson correlation coefficients were used to quickly compare and separate each cell line according to originating organ and disease subtype. Based simply on the relative abundances of broad glycan classes (e.g. high mannose, complex/hybrid fucosylated, complex/hybrid sialylated, etc.) most cell lines were readily differentiated. More closely-related cell lines were differentiated based on several-fold differences in the abundances of individual glycans. Based on characteristic N-glycan profiles, primary cancer origins and molecular subtypes could be distinguished. These results demonstrate that stark differences in cancer cell membrane glycosylation can be exploited to create an MS-based biopsy, with potential applications towards cancer diagnosis and direction of treatment.

Kailemia, M. K., et al. (2013). “Oligosaccharide Analysis By Mass Spectrometry: A Review Of Recent Developments.” Anal Chem.
This review covers developments in the application of mass spectrometry to the analysis of carbohydrates, focusing on work published between January 2011 through October 2013. These developments include approaches for improved ionization, new and improved methods of ion activation, advances in chromatographic separations of carbohydrates, the hybridization of ion mobility and mass spectrometry, and better software for data collection and interpretation. The impact of the developments are considered in terms of their ability to solve new problems or provide new capabilities for carbohydrate analysis, particularly for structure characterization by mass spectrometry and tandem mass spectrometry.

Lee, H., et al. (2013). “Quantitative analysis of gangliosides in bovine milk and colostrum-based dairy products by ultrahigh performance liquid chromatography-tandem mass spectrometry.” J Agric Food Chem 61(40): 9689-9696.
Milk gangliosides have gained considerable attention because they participate in diverse biological processes, including neural development, pathogen binding, and activation of the immune system. Herein, we present a quantitative measurement of the gangliosides present in bovine milk and other dairy products and byproducts. Ultrahigh performance liquid chromatography separation was used for high-throughput analysis and achieved a short running time without sacrificing chromatographic resolution. Dynamic multiple reaction monitoring was conducted for 12 transitions for GM3 and 12 transitions for GD3. Transitions to sialic acid fragments (m/z 290.1) were chosen for the quantitation. There was a considerable amount of gangliosides in day 2 milk (GM3, 0.98 mg/L; GD3, 15.2 mg/L) which dramatically decreased at day 15 and day 90. GM3 and GD3 were also analyzed in pooled colostrum, colostrum cream, colostrum butter, and colostrum buttermilk. The separation and analytical approaches here proposed could be integrated into the dairy industry processing adding value to side-streams.

Ozcan, S., et al. (2013). “Serum glycan signatures of gastric cancer.” Cancer Prev Res (Phila).
Glycomics, a comprehensive study of glycans expressed in biological systems, is emerging as a simple yet highly sensitive diagnostic tool for disease onset and progression. This study aimed to use glycomics to investigate glycan markers that would differentiate patients with gastric cancer (GC) from those with non-atrophic gastritis (NAG). Patients with duodenal ulcer (DU) were also included because they are thought to represent a biologically different response to infection with Helicobacter pylori, a bacterial infection that can cause either GC or DU. We collected 72 serum samples from patients in Mexico City that presented with NAG, DU, or GC. N-glycans were released from serum samples using the generic method with PNGase F and were analyzed by MALDI FT-ICR MS. The corresponding glycan compositions were calculated based on accurate mass. ANOVA based statistical analysis was performed to identify potential markers for each sub-group. Nineteen glycans were significantly different among the diagnostic groups. Generally, decreased levels of high-mannose type glycans, glycans with one complex type antenna, bigalactosylated biantennary glycans, and increased levels of non-galactosylated biantennary glycans were observed in gastric cancer cases. Altered levels of serum glycans were also observed in DU, but differences were generally in the same direction as GC. Serum glycan profiles may provide biomarkers to differentiate GC cases from controls with NAG. Further studies will be needed to validate these findings as biomarkers and identify the role of protein glycosylation in GC pathology.

Peacock, K. S., et al. (2013). “Isomer-Specific Consumption of Galactooligosaccharides by Bifidobacterial Species.” J Agric Food Chem.
Prebiotics are nondigestible substrates that stimulate the growth of beneficial microbes in the human intestine. Galactooligosaccharides (GOS) are food ingredients that possess prebiotic properties, in particular, promoting the growth of bifidobacteria in situ. However, precise mechanistic details of GOS consumption by bifidobacteria remain poorly understood. Because GOS are mixtures of polymers of different lengths and linkages, there is interest in determining which specific structures provide prebiotic effects to potentially create better supplements. This paper presents a method comprising porous graphitic carbon separation, isotopic labeling, and mass spectrometry analysis for the structure-specific analysis of GOS isomers and their bacterial consumption rate. Using this strategy, the differential bacterial consumption of GOS by the bifidobacteria species Bifidobacterium longum subsp. infantis, Bifidobacterium animalis subsp. lactis, and Bifidobacterium adolescentis was determined, indicating that the use of specific GOS isomers in infant formula may provide enrichment of distinct species.

Smilowitz, J. T., et al. (2013). “Human milk secretory immunoglobulin a and lactoferrin N-glycans are altered in women with gestational diabetes mellitus.” J Nutr 143(12): 1906-1912.
Very little is known about the effects of gestational diabetes mellitus (GDM) on lactation and milk components. Recent reports suggested that hyperglycemia during pregnancy was associated with altered breast milk immune factors. Human milk oligosaccharides (HMOs) and N-glycans of milk immune-modulatory proteins are implicated in modulation of infant immunity. The objective of the current study was to evaluate the effect of GDM on HMO and protein-conjugated glycan profiles in breast milk. Milk was collected at 2 wk postpartum from women diagnosed with (n = 8) or without (n = 16) GDM at week 24-28 in pregnancy. Milk was analyzed for HMO abundances, protein concentrations, and N-glycan abundances of lactoferrin and secretory immunoglobulin A (sIgA). HMOs and N-glycans were analyzed by mass spectrometry and milk lactoferrin and sIgA concentrations were analyzed by the Bradford assay. The data were analyzed using multivariate modeling confirmed with univariate statistics to determine differences between milk of women with compared with women without GDM. There were no differences in HMOs between milk from women with vs. without GDM. Milk from women with GDM compared with those without GDM was 63.6% lower in sIgA protein (P < 0.05), 45% higher in lactoferrin total N-glycans (P < 0.0001), 36-72% higher in lactoferrin fucose and sialic acid N-glycans (P < 0.01), and 32-43% lower in sIgA total, mannose, fucose, and sialic acid N-glycans (P < 0.05). GDM did not alter breast milk free oligosaccharide abundances but decreased total protein and glycosylation of sIgA and increased glycosylation of lactoferrin in transitional milk. The results suggest that maternal glucose dysregulation during pregnancy has lasting consequences that may influence the innate immune protective functions of breast milk.

Underwood, M. A., et al. (2013). “Prebiotic Oligosaccharides In Premature Infants.” J Pediatr Gastroenterol Nutr.
OBJECTIVE:: To determine the impact of increasing doses of two prebiotic oligosaccharides and the impact of an “all-human diet” on the intestinal microbiota of premature infants. METHODS:: Twelve premature infants receiving formula feedings were randomly assigned to receive either galacto-oligosaccharide (F+GOS) or a pooled concentrated donor human milk product containing human milk oligosaccharides (F+HMO) in increasing doses over a five week period. A second group of fifteen premature infants received their mother’s own milk fortified with either a concentrated donor human milk product (H+H) or a bovine powdered fortifier (H+B). Serial stool specimens from each infant were analyzed by terminal restriction fragment length polymorphism and quantitative polymerase chain reaction for bacterial composition. RESULTS:: All infants studied had relatively low levels of bifidobacteria and no measurable Lactobacilli. Infants in the F+GOS and F+HMO groups demonstrated an increase in relative numbers of Clostridia with increasing doses. Compared to the H+B group, the infants in the F+HMO and the H+H groups showed an unexpected trend towards an increase in gamma-Proteobacteria over time/dose. Principal Coordinate Analyses and Shannon diversity scores were not significantly different among the four groups. Infants in the H+H group received more antibiotics during the study period than those in the other groups. Two of the infants receiving GOS developed feeding intolerance. CONCLUSIONS:: None of the prebiotic interventions resulted in significant increases in bifidobacteria compared to baseline specimens or to the H+B group, however many of the infants did not receive the highest doses of GOS and HMO and antibiotic use in the H+H group was high.

 

New Publications!

G. Leiserowitz, K. Kim, S. Miyamoto, R. Ruhaak, S. Hua, L. Dimapasoc, C. Williams, C. Lebrilla, “Glycomics analysis as a potential diagnostic test for ovarian cancer“, Gynecologic Oncology, Volume 130, Issue 1, July 2013, Page e21

Ruiz-Moyano, S., S. M. Totten, D. Garrido, J. T. Smilowitz, J. B. German, C. B. Lebrilla and D. A. Mills (2013). “Variation in consumption of human milk oligosaccharides by infant-gut associated strains of Bifidobacterium breve.” Appl Environ Microbiol.
Human milk contains a high concentration of complex oligosaccharides that influence the composition of the intestinal microbiota in breast-fed infants. Previous studies have indicated that select species such as Bifidobacterium longum subsp. infantis and B. bifidum can utilize human milk oligosaccharides (HMO) in vitro as the sole carbon source, while the relatively few B. longum subsp. longum and B. breve isolates tested appear less adapted to these substrates. Considering the high frequency at which B. breve is isolated from breast-fed infant feces, we postulated that some B. breve strains can more vigorously consume HMOs and thus are enriched in the breast-fed infant gastrointestinal tract. To examine this a number of B. breve isolates from breast-fed infant feces were characterized for the presence of different glycosyl hydrolases that participate in HMO utilization, as well as by their ability to grow on HMO or specific HMO species such as lacto-N-tetraose (LNT) and fucosyllactose. All B. breve strains showed a high growth on lacto-N-tetraose and lacto-N-neotetraose (LNnT), and, in general, growth on total HMO was moderate for most of the strains, with several strain differences. Growth and consumption of fucosylated HMO was strain-dependent, mostly in isolates possessing a Glycosyl Hydrolase family 29 alpha-fucosidase. Glycoprofiling of the spent supernatant after HMO fermentation by select strains revealed that all B. breve can utilize sialylated HMO to a certain extent, especially sialyl-lacto-N-tetraose. Interestingly, this specific oligosaccharide was depleted before neutral LNT by strain SC95. In aggregate, this work indicates that the HMO consumption phenotype in B. breve is variable, however specific strains display specific adaptations to these substrates enabling more vigorous consumption of fucosylated and sialylated HMO. These results provide a rationale for the predominance of this species in breast-fed infant feces, and contribute to a more accurate picture of the ecology of the developing infant intestinal microbiota.

De Leoz, M. L., C. B. Lebrilla and M. A. Underwood (2013). “Response to Letter to the Editor regarding “A quantitative and comprehensive method to analyze human milk oligosaccharide structures in the urine and feces of infants“.” Anal Bioanal Chem.

New Publications

Strum, J. S., C. C. Nwosu, S. Hua, S. R. Kronewitter, R. R. Seipert, R. J. Bachelor, H. J. An and C. B. Lebrilla (2013). “Automated Assignments of N- and O-Site Specific Glycosylation with Extensive Glycan Heterogeneity of Glycoprotein Mixtures.” Anal Chem.
Site-specific glycosylation (SSG) of glycoproteins remains a considerable challenge and limits further progress in the areas of proteomics and glycomics. Effective methods require new approaches in sample preparation, detection, and data analysis. While the field has advanced in sample preparation and detection, automated data analysis remains an important goal. A new bioinformatics approach implemented in software called GP Finder automatically distinguishes correct assignments from random matches and complements experimental techniques that are optimal for glycopeptides, including nonspecific proteolysis and high mass resolution liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for multiple N- and O-glycosylation sites, including extensive glycan heterogeneity, was annotated for single proteins and protein mixtures with a 5% false-discovery rate, generating hundreds of nonrandom glycopeptide matches and demonstrating the proof-of-concept for a self-consistency scoring algorithm shown to be compliant with the target-decoy approach (TDA). The approach was further applied to a mixture of N-glycoproteins from unprocessed human milk and O-glycoproteins from very-low-density-lipoprotein (vLDL) particles.

 

Ruhaak, L. R., U. T. Nguyen, C. Stroble, S. L. Taylor, A. Taguchi, S. M. Hanash, C. B. Lebrilla, K. Kim and S. Miyamoto (2013). “Enrichment strategies in glycomics based lung cancer biomarker development.” Proteomics Clin Appl.
PURPOSE: There is a need to identify better glycan biomarkers for diagnosis, early detection and treatment monitoring in lung cancer using biofluids such as blood. Biofluids are complex mixtures of proteins dominated by a few high abundance proteins that may not have specificity for lung cancer. Therefore two methods for protein enrichment were evaluated; affinity capturing of IgG and enrichment of medium abundance proteins, thus allowing us to determine which method yields the best candidate glycan biomarkers for lung cancer. EXPERIMENTAL DESIGN: N-glycans isolated from plasma samples from 20 cases of lung adenocarcinoma and 20 matched controls were analyzed using nLC-PGC-chip-TOF-MS. N-glycan profiles were obtained for five different fractions: total plasma, isolated IgG, IgG depleted plasma, and the bound and flow-through fractions of protein enrichment. RESULTS: Four glycans differed significantly (FDR<0.05) between cases and controls in whole unfractionated plasma, while four other glycans differed significantly by cancer status in the IgG fraction. No significant glycan differences were observed in the other fractions. CONCLUSIONS AND CLINICAL RELEVANCE: These results confirm that the N-glycan profile in plasma of lung cancer patients is different from healthy controls and appears to be dominated by alterations in relatively abundant proteins. This article is protected by copyright. All rights reserved.

Dallas, D. C., A. Guerrero, N. Khaldi, P. A. Castillo, W. F. Martin, J. T. Smilowitz, C. L. Bevins, D. Barile, J. B. German and C. B. Lebrilla (2013). “Extensive in vivo Human Milk Peptidomics Reveals Specific Proteolysis Yielding Protective Antimicrobial Peptides.” J Proteome Res 12(5): 2295-2304.
Milk is traditionally considered an ideal source of the basic elemental nutrients required by infants. More detailed examination is revealing that milk represents a more functional ensemble of components with benefits to both infants and mothers. A comprehensive peptidomics method was developed and used to analyze human milk yielding an extensive array of protein products present in the fluid. Over 300 milk peptides were identified originating from major and many minor protein components of milk. As expected, the majority of peptides derived from beta-casein, however no peptide fragments from the major milk proteins lactoferrin, alpha-lactalbumin, and secretory immunoglobulin A were identified. Proteolysis in the mammary gland is selective-released peptides were drawn only from specific proteins and typically from only select parts of the parent sequence. A large number of the peptides showed significant sequence overlap with peptides with known antimicrobial or immunomodulatory functions. Antibacterial assays showed the milk peptide mixtures inhibited the growth of Escherichia coli and Staphylococcus aureus . The predigestion of milk proteins and the consequent release of antibacterial peptides may provide a selective advantage through evolution by protecting both the mother’s mammary gland and her nursing offspring from infection.

 

New Publications!

Dallas, D. C., A. Guerrero, N. Khaldi, P. A. Castillo, W. F. Martin, J. T. Smilowitz, C. L. Bevins, D. Barile, J. B. German and C. B. Lebrilla (2013). “Extensive in vivo Human Milk Peptidomics Reveals Specific Proteolysis Yielding Protective Antimicrobial Peptides.” J Proteome Res 12(5): 2295-2304.
Milk is traditionally considered an ideal source of the basic elemental nutrients required by infants. More detailed examination is revealing that milk represents a more functional ensemble of components with benefits to both infants and mothers. A comprehensive peptidomics method was developed and used to analyze human milk yielding an extensive array of protein products present in the fluid. Over 300 milk peptides were identified originating from major and many minor protein components of milk. As expected, the majority of peptides derived from beta-casein, however no peptide fragments from the major milk proteins lactoferrin, alpha-lactalbumin, and secretory immunoglobulin A were identified. Proteolysis in the mammary gland is selective-released peptides were drawn only from specific proteins and typically from only select parts of the parent sequence. A large number of the peptides showed significant sequence overlap with peptides with known antimicrobial or immunomodulatory functions. Antibacterial assays showed the milk peptide mixtures inhibited the growth of Escherichia coli and Staphylococcus aureus . The predigestion of milk proteins and the consequent release of antibacterial peptides may provide a selective advantage through evolution by protecting both the mother’s mammary gland and her nursing offspring from infection.

Ruhaak, L. R., U. T. Nguyen, C. Stroble, S. L. Taylor, A. Taguchi, S. M. Hanash, C. B. Lebrilla, K. Kim and S. Miyamoto (2013). “Enrichment strategies in glycomics based lung cancer biomarker development.” Proteomics Clin Appl.
PURPOSE: There is a need to identify better glycan biomarkers for diagnosis, early detection and treatment monitoring in lung cancer using biofluids such as blood. Biofluids are complex mixtures of proteins dominated by a few high abundance proteins that may not have specificity for lung cancer. Therefore two methods for protein enrichment were evaluated; affinity capturing of IgG and enrichment of medium abundance proteins, thus allowing us to determine which method yields the best candidate glycan biomarkers for lung cancer. EXPERIMENTAL DESIGN: N-glycans isolated from plasma samples from 20 cases of lung adenocarcinoma and 20 matched controls were analyzed using nLC-PGC-chip-TOF-MS. N-glycan profiles were obtained for five different fractions: total plasma, isolated IgG, IgG depleted plasma, and the bound and flow-through fractions of protein enrichment. RESULTS: Four glycans differed significantly (FDR<0.05) between cases and controls in whole unfractionated plasma, while four other glycans differed significantly by cancer status in the IgG fraction. No significant glycan differences were observed in the other fractions. CONCLUSIONS AND CLINICAL RELEVANCE: These results confirm that the N-glycan profile in plasma of lung cancer patients is different from healthy controls and appears to be dominated by alterations in relatively abundant proteins. This article is protected by copyright. All rights reserved.

Strum, J. S., C. C. Nwosu, S. Hua, S. R. Kronewitter, R. R. Seipert, R. J. Bachelor, H. J. An and C. B. Lebrilla (2013). “Automated Assignments of N- and O-Site Specific Glycosylation with Extensive Glycan Heterogeneity of Glycoprotein Mixtures.” Anal Chem.
Site-specific glycosylation (SSG) of glycoproteins remains a considerable challenge and limits further progress in the areas of proteomics and glycomics. Effective methods require new approaches in sample preparation, detection, and data analysis. While the field has advanced in sample preparation and detection, automated data analysis remains an important goal. A new bioinformatics approach implemented in software called GP Finder automatically distinguishes correct assignments from random matches and complements experimental techniques that are optimal for glycopeptides, including nonspecific proteolysis and high mass resolution liquid chromatography/tandem mass spectrometry (LC/MS/MS). SSG for multiple N- and O-glycosylation sites, including extensive glycan heterogeneity, was annotated for single proteins and protein mixtures with a 5% false-discovery rate, generating hundreds of nonrandom glycopeptide matches and demonstrating the proof-of-concept for a self-consistency scoring algorithm shown to be compliant with the target-decoy approach (TDA). The approach was further applied to a mixture of N-glycoproteins from unprocessed human milk and O-glycoproteins from very-low-density-lipoprotein (vLDL) particles.

 

Determination of Extensive Glycosylation on Glycoproteins and Glycolipids in High-density Lipoprotein

Jincui Huang
Jincui Huang; Hyeyoung Lee; Angela Zivkovic; Jennifer Smilowitz; Bruce German; Carlito Lebrilla
UC Davis, Davis, CA
NOVEL ASPECT: Extensive site-specific glycosylation of HDL proteins and glycolipid analysis indicate that HDL is a highly glycosylated and sialylated particle.
INTRODUCTION:
High-density lipoprotein (HDL) particles are composed of lipids and lipoproteins and are considered as a strong inverse predictor of risk of cardiovascular disease. The function of HDL in health and diseases is related to its role in reverse cholesterol transport and in its interactions with cell membrane receptors, enzymes, and lipid-transport proteins. The proteins and lipids of HDL are potentially glycosylated. Because of the role of glycosylation in recognition, protein folding, and protein half-life in blood, it may contribute significantly to the overall function of HDL However, very little is known concerning the glycosylation of  HDL. Using glycomics, glycolipidomics and glycoproteomics approaches, we have determined for the first time the site-specific glycosylation in proteins and lipid glycosylation of HDL.
METHODS:
Isolation of HDL was performed by ultracentrifugation. N-Linked glycans were released from the HDL solution using PNGase F. Pronase E, covalently coupled to CNBr activated sepharose beads, was reacted to the HDL by incubating at 37 ºC overnight. The digestion mixtures were desalted and enriched via solid phase extraction (SPE) prior to the analyses. Extraction of gangliosides was performed by mixing water, methanol and chloroform with a HDL solution after centrifugation. The supernatant was collected and cleaned by SPE. MS and MS/MS analyses of the glycopeptides and gangliosides were achieved via nano-LC/Q-TOF MS with a nano-LC column integrated in a micro-chip packed with porous graphitized carbon for glycan/glycopeptides and C18 for gangliosides.
ABSTRACT:
Proteomics analysis of HDL particles revealed a list of apolipoproteins as well as the HDL associated plasma proteins, approximately 60% of which are glycosylated.Glycans from HDL were separated with a PGC stationary phase and corresponded to over 60 N-linked glycan compounds with over 20 distinct compositions. Each composition produced two or more chromatographic peaks corresponding to structural isomers. Sialylated glycans including complex type with bi- or tri- antenna were found to be the dominant glycan types. Interestingly, a biantennary glycan with two sialic acids was the most abundant glycan species as is found in blood. The structures of N-glycans from HDL associated glycoproteins were further elucidated by tandem MS.Comprehensive glycan-microheterogeneity of HDL associated glycoproteins was determined using non-specific proteolysis and analysis with nano-LC/Q-TOF MS.  An in-house software, Glycopeptide Finder, was used to interpret the tandem MS. This method lead to the characterization of both N- or O-glycans whose site was determined based on the associated peptide tags. In all, over 50 glycopeptides corresponding to 20 glycosites from more than 10 glycoproteins were observed and determined in the HDL protein mixture. These glycopeptides were a mixture of N-linked glycopeptides (mainly biantennary complex type sialylated glycans) and O-linked glycopeptides (mainly sialylated). The results yielded comprehensive glycoprotein analysis with detailed glycan microheterogeneity.Ganglioside analysis showed that GM3 (monosialoganglioside, NeuAc2–3Gal1–4Glc–Cer) and GD3 (disialoganglioside, NeuAc2–8NeuAc2–3Gal1–4Glc–Cer) are the most abundant glycolipids in human HDL. A proportion of 75% GM3 and 25% GD3 were obtained. Both GM3 and GD3 are composed of heterogeneous ceramide lipids, including d34:1, d39:1, d40:1 and d41:1.

Cell Membrane Glycan Profiling Differentiates Cancer Cell Origin and Molecular Subtype

Serenus Hua1; Lauren Dimapasoc2; Mary Saunders²; Bum Jin Kim1; Seung Hyup Jeong1; Kit S. Lam², Carlito Lebrilla2Hyun Joo An1
1GRAST, Chungnam National University, Daejeon, SOUTH KOREA; 2University of California, Davis, Davis, CA
NOVEL ASPECT: Stark differences in cancer cell membrane glycosylation can be exploited to create an MS-based biopsy
INTRODUCTION:
In clinical settings, biopsies are routinely used to determine cancer type and grade based on tumor cell morphology, as determined via histochemical or immunohistochemical staining. Unfortunately, in a significant number of cases, biopsy results are inconclusive. Moreover, even when primary cancer origin can be identified, phenotypic subtypes are rarely differentiated, often leading to inefficient or ineffective treatment. Glycomic profiling of the cell membrane offers an alternate route towards cancer diagnosis. In this study, isomer-sensitive nano-LC/MS and -LCMS/MS were used to obtain a detailed, structure-specific profile of the different N-glycan structures present on cancer cell membranes. Application of this method to biopsy samples may provide complementary or supplementary information that can be used to aid cancer diagnosis and guide treatment.
METHODS:
Cells were harvested from cell lines representing various subtypes of breast, lung, cervical, ovarian, and lymph node cancer. After gentle lysing, cell membranes were isolated by ultracentrifugation. N-glycans were released enzymatically, and then enriched by graphitized carbon solid phase extraction.
Native glycans were reproducibly profiled and characterized by chip-based nano-LC/MS and -LC/MS/MS. Using established human glycan structure/composition libraries, glycan signals were rapidly identified and sorted into biologically relevant classes and categories, such as high-mannose glycans, hybrid glycans, truncated complex glycans, fucosylated or sialylated complex glycans, etc. Statistical methods including Pearson correlation, hierarchical clustering, and t-tests were used to correlate or differentiate the various cell lines.
ABSTRACT:
Chip-based nano-LC/MS analysis of the cell membrane N-glycomes provided high retention time reproducibility and quantitative precision. Structure-sensitive N-glycan profiling identified hundreds of glycan peaks per cell line, including multiple isomers for most compositions.
Most cancer cell lines exhibited high  levels (~30 to 60% relative abundance) of high-mannose glycosylation, an established hallmark of cancer. However, significant differences between the individual cell lines were easily observable. Hierarchical clustering based on Pearson correlation coefficients was used to quickly compare and separate each cell line according to originating organ and disease subtype. For example, a comparison of four B-cell lymphoma cell lines easily clustered together two cell lines originating from endemic and sporadic Burkitt’s lymphoma patients (from Nigeria and America, respectively) with a correlation coefficient R of 0.9744 while simultaneously differentiating both of them from the other two B-cell lymphoma cell lines.
Similar comparisons were able to differentiate several breast cancer cell lines from a (non-cancerous) fibrocystic breast cell line; and HPV-infected cervical carcinoma cells from non-HPV-infected cervical carcinoma cells.
To demonstrate the diagnostic  possibilities of this method, simple dichotomous keys were created. Based simply on the relative abundances of broad glycan classes (e.g. high mannose, complex/hybrid fucosylated, complex/hybrid sialylated, etc.) most cell lines were readily differentiated and identified. More closely-related cell lines were differentiated based on several-fold differences in the abundances of individual glycans. For example, lung carcinoma cell lines NCI-H358 and A549 were differentiated by parallel six-fold differences between the abundances of biosynthetically-related N-glycans Hex3HexNAc2Fuc, Hex3HexNAc3Fuc, and Hex3HexNAc4Fuc (which each differ from the next by only one HexNAc). In clinical settings, similar keys might allow a diagnostician to quickly and rapidly identify different cancer cell types based on a glycomic profile.

Digestomics of human milk proteins in term and premature infants

David Dallas1; Andres Guerrero1; Nora Khaldi2; Bruce German1; Daniela Barile1; Mark Underwood1; Carlito Lebrilla1
1University of California, Davis, Davis, CA; 2UC Dublin, Dublin, Ireland
NOVEL ASPECT: This study represents a novel application of high-throughput peptidomics to investigate milk protein digestion in term and premature infants.
INTRODUCTION:
Decades of research demonstrate that human milk protein digestion releases peptide fragments with beneficial antimicrobial and immunomodulatory functions for the infant. However, as previous studies were based on in vitro digestion of milk, the relevance of these findings is unknown. For the first time, we analyze peptides released from human milk in the infant stomach in vivo. Released peptide sequences are determined via our novel, high-throughput peptidomics technique and potential functions are examined. Because premature infants have lower acid and enzyme production in the stomach than term infants, we hypothesize that premature infants do not produce the same functional milk peptides as term infants. This study compares digestion between these infant groups to identify missing functional peptides in premature infants.
METHODS:
In the UC Davis Medical School’s neonatal intensive care unit, gastric samples were obtained from term and premature infants after 2 hours of digestion. Infants already intubated for medical conditions preventing normal feeding, but without digestive disorders were selected. Peptides were extracted from all samples in 96-well plate format by centrifugal delipidation, acid precipitation of proteins, and C18 solid phase extraction clean-up.Peptides were measured by nano-LC-Q-TOF with automated peak selection for tandem fragmentation. Tandem spectra were searched in X!Tandem with no enzyme selected.
A library of identified peptides with exact mass and retention time was applied back to all samples for peak volume extraction. Univariate statistical testing was employed for peptide abundance comparison between term and premature infants.

ABSTRACT:
Analysis of peptides with the LC-MS/MS technique revealed hundreds of unique peptides in all mother’s milk and infant gastric samples. The number of unique peptides increased 3-fold from intact milk to gastric samples, demonstrating that digestion does occur in the infant stomach. Specific proteins that were not digested in the mammary gland, like lactoferrin and alpha-lactalbumin, are degraded within the infant stomach of both term and premature infants. Evidence for digestion in the stomach is surprising because conditions in the infant stomach are far from optimal for the only known infant gastric protease:
pepsin. Enzyme analysis of the cleavage sites revealed that pepsin is active at low levels in the infant stomach as early as the first week of life. Moreover, this analysis revealed that milk proteases that were initially blocked by antiproteases in the mammary gland become functional in the infant stomach and are responsible for the majority of cleavages. This demonstrates that milk continues to guide its own digestion within the infant gut. The factor causing activation of these milk enzymes in the infant stomach remains unknown.Statistical analysis of the differences in gastric digestion between term and premature infants is underway. Identification of milk enzymes as the main contributors to gastric digestion demonstrate that differences in proteases and antiproteases between term and premature mother’s milk may contribute to differences in peptide release in the stomach.

Approximately 10% of the identified peptides were homologous with known antimicrobial or immunomodulatory peptides. Differences in these functional peptides may contribute to the variance in health outcomes between term and premature infants.

Mass Spectrometry Based Glycan Arrays for Determining Specificity of Glycosidases in Bacteria

Sarah
Sarah Totten; Santiago Ruiz-Moyano; David Mills; Carlito Lebrilla
University of California Davis, Davis, CA
NOVEL ASPECT: The application of mass spectrometry based glycan arrays and high-throughput HMO analysis to characterizing the specificity of glycosidases in bacteria
INTRODUCTION:
Human milk oligosaccharides function as prebiotics for beneficial bacteria that occupy the gut of breast fed infants. Certain species of Bifidobacteria are equipped with the glycosidases necessary for oligosaccharide digestion and have demonstrated the ability to metabolize HMOs.  The mechanism and specificity of HMO consumption of each subspecies has not been fully characterized. In this study, the digestion of a glycan array (over 100 human milk oligosaccharide species extracted from a pooled milk sample) is rapidly profiled using sensitive, high-throughput nano-LC Chip/TOF mass spectrometry-based methods for a series of glycosidases.  The resulting digestion glycoprofile provides insight to the specificity of the enzymes used by gut bacteria to selectively metabolize milk oligosaccharides.
METHODS:
Pooled milk was first defatted via centrifugation and depleted of protein by ethanol precipitation.
The isolated HMOs were then reduced to alditol form using NaBH4.  Solid phase extraction on graphitized carbon cartridges (GCC) was used for desalting and enrichment. HMOs were eluted with 40% acetonitrile in 0.05% trifluoroacetic acid (v/v).  SPE fractions were dried and reconstituted to approximately 1.5 mg/mL. The reduced HMO pool was then digested by a β-galactosidase isolated from B. longum subsp. infantis ATCC15697 (Blon_2016) for 1 hour at 37°C, pH 4.5. The digestion mixture was then filtered using Millipore C18 ZipTip pipette tips.  The HMO pool was profiled using nano-LC Chip/TOF mass spectrometry on a PGC chip both before (undigested control) and after digestion.
ABSTRACT:
Over 200 oligosaccharides were detected in the pooled milk sample before digestion, to which monosaccharide composition was assigned based on accurate mass (typically within ±5 ppm).  An annotated in-house HMO library containing 75 neutral and anionic species was used to rapidly assign specific structure using the reproducible LC retention time and CID fragmentation patterns. Using chip-TOF mass spectrometry, the digestion of individual HMO structures was quantitated with respect to the undigested control by normalzing the absolute peak intensity of the digested sample to that of the control.  The total oligosaccharide abundance decreased in the digested sample by 32%, almost all of which can be attributed to the digestion of neutral, non-fucosylated species, whose abundance decreased by 80%. Isomers of m/z 710.23 Lacto-N-tetraose and lacto-N-neotetraose, and isomers of m/z 1075.41 lacto-N-hexaose, lacto-N-neohexaose and para lacto-N-hexaose were consumed to the greatest extents (the abundance decreased by more than 90% in the digested sample).  The formation of peaks with m/z 548.23 and m/z 751.30 in the digested sample indicate the loss of one or two galactose residues from the structures listed above, respectively, demonstrating that the β-galactosidase cleaves both β1-3 and β1-4 galactoses in the terminal positions.  When the above core structures are fucosylated, they are digested more selectively. Monofucosylated isomers lacto-n-fucopentaose I, II, and III were not cleaved by the enzyme, however monofucosylated structures of increasing degrees of polymerization with un-decorated terminal galactoses were almost completely digested, suggesting that the presence of a fucose residue, either linked to the same GlcNAc as the terminal galactose or linked to the terminal galactose itself, blocks the cleavage of that terminal galactose on both type 1 and type 2 chains.The mass  spectrometry-based characterization of the enzymatic digestion of the glycan array described above by additional galactosidases, fucosidases, and sialidases is currently underway.
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