Nutritional and Clinical Glycomics Research

Category: Uncategorized (Page 4 of 6)

Validation of a glycan biomarker set for the detection of ovarian cancer using mass spectrometry

Renee
L. Renee Ruhaak1; Sandra Taylor1; Cynthia Williams1; UyenThao Nguyen1; Lauren Dimapasoc1; Sureyya Ozcan1; Carol Stroble1, 2; Suzanne Miyamoto2; Kyoungmi Kim1; Gary Leiserowitz2; Carlito B. Lebrilla1
1University of California, Davis, Davis, CA; 2UC Davis Comprehensive Cancer Center, Sacramento, CA
NOVEL ASPECT: Altered serum glycan profiles were validated as discriminating OC cases from controls, showing its great potential as a diagnostic tool.
INTRODUCTION:
Protein glycosylation plays important roles in cancer; aberrant glycosylation has been observed with malignant transformation, and altered glycosylation profiles were observed in serum and plasma of cancer patients compared to healthy controls. The survival rates of ovarian cancer (OC) are lower than most other cancers that affect women, but if tests with better accuracy than the test for CA125 were available for early detection then more lives could be saved. While the literature reports altered serum glycosylation profiles with ovarian cancer, the predictive values of such candidate biomarkers have not been determined and results have not been validated in independent test sets. We now report the potential of serum glycomics analysis using nLC-PGC-chip-TOF-MS as a diagnostic test for ovarian cancer.
METHODS:
Pre-operative sera of OC cases and healthy controls consisting of 43 stage III-IV OC cases and 49 age-matched controls were used as a training set for biomarker detection. Independently a set of patient sera was collected from 52 stage I-II cases, 52 stage III-IV cases, 52 cases with low malignant potential and 52 age-matched controls as a test set for validation. A high-throughput 96-well based nLC-PGC-chip-TOF-MS strategy, which was previously validated for its stability and repeatability, was employed to evaluate serum N-glycan profiles in each of the samples. N-glycan peak integrals were used for biostatistical analysis to evaluate the OC differential potential for the glycan features in the training set. These results were then validated in the independent test set.
ABSTRACT:
Within the training set, 330 glycan compositions were detected in at least one of the samples analyzed. Of the glycan compositions that were consistently detected in the samples, levels of 36 compositions were shown to alter significantly (either over- or under-expressed) with OC at a false discovery rate of <0.05. Among the most significant glycan compositions were Hex5HexNAc4Fuc1, Hex4HexNAc4, Hex5HexNAc5Fuc2NeuAc1, Hex5HexNAc3, Hex6HexNAc3 and Hex5HexNAc6Fuc1NeuAc2. The most informative glycan (Hex6HexNAc3) singly yielded an AUC value of 0.896 with 93% sensitivity and 75% specificity. Multiplex classifiers combining one or more glycans together were developed with the highest accuracy of 91.2% (sensitivity 86.0%, specificity 95.8%) when combining nine glycans.Using the test set, we were also able to observe 330 glycan compositions, and levels of 33 compositions were significantly altered with OC. Twenty glycan compositions were significantly altered with OC stage III-IV in the same direction in both the training and the test set. The glycan composition with the highest classification accuracy in the stage III-IV samples of the training set continued to perform well in the independent test set. When testing the multiplex classifiers developed in the training set in samples of the independent testing set, an accuracy of 78% was achieved. Independent of the training set, which only contained stage III-IV samples, good separation was also obtained between the healthy controls and the stage I-II OC cases, with a classification rate of 83%. These results indicate that glycan profiles are promising new tools which could lead to improvement in the detection of ovarian cancer.

Rapid Throughput Extraction of Human Milk Oligosaccharides to Allow Studies on Larger Cohorts

Lauren_2

Lauren M. Dimapasoc; Sarah Totten; Carol Stroble; L. Renee Ruhaak; Carlito B. Lebrilla

University of California, Davis, CA
NOVEL ASPECT: HMO extraction and purification at the 96-well level now allows for large-scale biomarker studies.
INTRODUCTION:
Human milk is known to be the best nutritional source for newborns. Human milk oligosaccharides (HMOs) are a highly abundant constituent in human milk, and its protective and prebiotic effects are what drive studies today. Further investigating these properties and future biomarker studies will require large patient sample sets, where high-throughput sample preparation and analysis are favored. The development of a sample preparation method at the 96-well level would increase the repeatability of the process and reduce batch-to-batch sample variations. Furthermore, it will allow shorter handling times, giving us the ability to process larger amounts of samples. In this study, we have developed and optimized a high-throughput method to rapidly profile human milk oligosaccharides at a 96-well level.
METHODS:
Five batches of breast milk samples from the same donor were processed to find the optimal separation method by using the traditional HMO extraction method under different conditions (exclusion of ethanol, Folch, and precipitation times). Samples were reduced and purified using an automated liquid handler to prevent variation in solid phase extraction (SPE). Then the optimized method was repeated using smaller volumes, and SPE on a 96-well plate with graphitic carbon was administered via centrifugation to test the saturation limit of the columns. Glycan profiles and isomer information were obtained by HMO analysis on a chip-based nano-LC (Agilent Chip/TOF-MS) using acetonitrile/water and formic acid for separation. For data-processing, an in-house library of HMO masses was used.
ABSTRACT:
Based on the HMO extraction and purification method that was previously established in our lab, we first optimized whether we could omit certain steps that may be difficult to process at the 96-well plate level. Traditionally, human milk is centrifuged to remove fats, treated with chloroform/methanol (Folch) to remove additional lipids, and treated with ethanol to remove excess proteins prior to reduction and SPE. After we excluded the Folch method, the overall HMO profile was still comparable to samples treated with Folch using 500uL of sample. However, excluding both the Folch and ethanol addition resulted in lower analytical signal and different HMO profiles compared to the traditional batch.We then evaluated a commercially available 96-well graphitic carbon SPE plate and compared it to graphitized carbon cartridges used for individual sample analysis to test the saturation limit of the 96-well plate. To accommodate the 96-well plate, the sample volumes were reduced to 10, 25, 35, and 50uL and SPE was performed using centrifugation. While solvent amounts were reduced for plate-based SPE, no additional contaminants were observed during the analyses. Samples were reconstituted to 50uL to show a gradual increase in glycan signal between the different volumes and compositional glycan profiles were obtained by Agilent Chip/TOF-MS and identified using an in-house library of accurate glycan masses found in humans. It could be concluded that the 96-well graphitic carbon plate is not saturated using the milk volumes used.With this procedure, we are able to process 96 samples with a handling time of around 3 hours. The application of 96-wells allows for reduction of batch-to-batch sample variations, and increases repeatability of the sample preparation procedure. This procedure will allow the processing of large sample cohorts to further investigate the biological activity of HMOs and how it may possibly be changing in case studies.

New paper!

Dallas, D. C., et al. (2013). “Extensive in vivo human milk peptidomics reveals specific proteolysis yielding protective antimicrobial peptides.” J Proteome Res.
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 pre-digestion of milk proteins and the consequent release antibacterial peptides may provide a selective advantage through evolution by protecting both the mother’s mammary gland and her nursing offspring from infection.

 

1997 Publications

Green, M.K. and C.B. Lebrilla, Ion-molecule reactions as probes of gas-phase structures of peptides and proteins. Mass Spectrom Rev, 1997. 16(2): p. 53-71.

Hu, H., S.G. Penn, C.B. Lebrilla, and P.H. Brown, Isolation and characterization of soluble boron complexes in higher plants. The mechanism of phloem mobility of boron.. The mechanism of phloem mobility of boron. Plant Physiol, 1997. 113(2): p. 649-55.

Penn, S.G., H. Hu, P.H. Brown, and C.B. Lebrilla, Direct analysis of sugar alcohol borate complexes in plant extracts by matrix-assisted laser desorption ionization fourier transform mass spectrometry.. Anal Chem, 1997. 69(13): p. 2471-7.

Tseng, K., L.L. Lindsay, S. Penn, J.L. Hedrick, and C.B. Lebrilla, Characterization of neutral oligosaccharide-alditols from Xenopus laevis egg jelly coats by matrix-assisted laser desorption Fourier transform mass spectrometry.. Anal Biochem, 1997. 250(1): p. 18-28.

Wisner, E.R., K.L. Aho-Sharon, M.J. Bennett, S.G. Penn, C.B. Lebrilla, and M.H. Nantz, A modular lymphographic magnetic resonance imaging contrast agent- contrast enhancement with DNA transfection potential.. J Med Chem, 1997. 40(25): p. 3992-6.

« Older posts Newer posts »

© 2025 Lebrilla League

Theme by Anders NorenUp ↑