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Waters Application Notes - Glycans

Guides | 2016 | WatersInstrumentation
Sample Preparation, Consumables, HPLC, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC columns, LC/SQ
Industries
Pharma & Biopharma, Proteomics
Manufacturer
Waters

Summary

Significance of the topic


Glycan analysis has become a cornerstone of biopharmaceutical characterization. Variations in glycosylation patterns critically influence drug efficacy, stability, immunogenicity and half-life. Regulatory authorities now scrutinize glycan attributes as critical quality attributes (CQAs) in submissions, and product comparability after scale-up or process changes hinges on robust glyco-profiling.

Objectives and overview of the article


This article reviews the core requirements for glycan analysis in a biopharmaceutical setting. It surveys common sample preparation and detection techniques, outlines best practices for ensuring reproducibility, and highlights the need for harmonization across laboratories to meet regulatory and quality-by-design (QbD) expectations.

Methodology and instrumentation


This review categorizes glycan analysis workflows into released glycans, glycopeptides, intact glycoproteins and monosaccharide profiling. Key sample preparation methods include:
  • PNGase F and PNGase A enzymatic release of N-linked glycans
  • Proteolysis for glycopeptide mapping
  • Alkaline β-elimination or hydrazinolysis for O-linked glycans
  • Permethylation to stabilize and facilitate MS analysis
  • Amine or glycosylamine labeling for fluorescence detection
Detection strategies covered are:
  • HPAEC–PAD for underivatized monosaccharides and sialic acids
  • Fluorescence detection of labeled glycans and glycopeptides
  • ESI–MS and MALDI–TOF MS for mass mapping and structural assignment

Used instrumentation


  • High-performance and ultra-performance liquid chromatography (HPLC, UPLC)
  • Hydrophilic interaction chromatography (HILIC) columns
  • High-pH anion-exchange (HPAEC) systems
  • Capillary electrophoresis (HPCE/CZE)
  • ESI–MS and MALDI–TOF MS platforms
  • Automated sample preparation reagents (e.g., RapiFluor-MS labeling)

Main results and discussion


A case study of Myozyme® scale-up illustrated how undetected shifts in mannose-6-phosphate content triggered regulatory rejection. Agencies now demand detailed glycan profiles to control heterogeneity arising from cell line, culture conditions or downstream processing. Internally, interlaboratory studies using standard glycoproteins revealed significant variability in sialylation and antennary pattern measurements, underscoring the need for harmonized protocols.

To address this, best practices include:
  • Defining CQAs such as antennary distribution, sialylation linkage, fucosylation and high-mannose content
  • Employing orthogonal methods to offset biases of individual techniques
  • Using well-characterized reference standards and material with known clinical history
  • Establishing acceptance ranges for each glycoform and ensuring lot-to-lot consistency

Benefits and practical applications


Implementing standardized glycan analysis workflows enhances product quality control by:
  • Detecting critical glycoform shifts early in process development
  • Streamlining comparability studies after scale-up or process modification
  • Reducing batch failure due to unexpected glycosylation changes
  • Accelerating regulatory approval with comprehensive, reproducible data

Future trends and possibilities of use


Emerging directions in glycan analysis include:
  • Automated, high-throughput sample preparation and labeling
  • Next-generation MS and fragmentation techniques for site-specific glycosylation
  • Standardized performance criteria for reproducibility, accuracy and sensitivity
  • Integrated software solutions for glycan identification, quantification and reporting
  • Global reference materials and interlaboratory proficiency testing

Conclusion


As glycosylation remains a pivotal determinant of biotherapeutic performance, rigorous, harmonized glycan analysis is essential. By combining complementary sample preparation protocols, orthogonal chromatographic and detection methods, and robust reference standards, biopharma organizations can satisfy regulatory demands, ensure product consistency, and expedite development.

References


  • Walsh G. Nature Biotech. 28(9):917–924 (2010).
  • Mack G. Nature Biotech. 26(6):592 (2008).
  • ICH Q5E: Specifications for Biotechnological Products (2003).
  • ICH Q6B: Specifications for Biotechnological Products (1999).
  • FDA Guidance PAT—A Framework for Innovative Pharmaceutical Development (2004).
  • Jefferis R. Biotechnol. Prog. 21:11–16 (2005).
  • Brooks SA. Mol. Biotechnol. 28(3):241–255 (2004).
  • EMA Guideline on Monoclonal Antibodies EMEA/CHMP/BWP/157653/2007 (2007).
  • FDA Q8 Pharmaceutical Development (2006).
  • FDA Q9 Quality Risk Management (2006).
  • FDA Q10 Quality Systems (2008).
  • Rathore AS. Trends Biotechnol. 27(9):546–553 (2009).
  • Thobhani S et al. Glycobiology. 19(3):201–211 (2009).
  • Kibe T et al. J. Clin. Biochem. Nutr. 21(1):57–63 (1996).
  • Okazaki A et al. J. Mol. Biol. 336(5):1239–1249 (2004).
  • Lauber MA et al. Anal. Chem. 87(10):5401–5409 (2015).

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