Culture Medium Analysis for a Metabolic Analysis of Antibody-Producing Cells Using LC-MS/MS and ICP-MS

Applications | 2023 | ShimadzuInstrumentation
LC/MS, LC/MS/MS, LC/QQQ, ICP/MS
Industries
Pharma & Biopharma
Manufacturer
Shimadzu

Importance of the Topic


Understanding both organic and inorganic components in cell culture media is essential for optimizing antibody production in biopharmaceutical processes. Integrated analysis of these components provides insights into host cell metabolism and supports the development of more efficient and robust production systems.

Objectives and Study Overview


This study applies LC-MS/MS and ICP-MS to monitor 144 organic metabolites and nine metal elements in the culture medium and supernatant of a fast-growing CHL-YN antibody-producing cell line. The aim is to pinpoint key components and metabolic pathways linked to antibody synthesis.

Methodology


• CHL-YN cells were cultured at 1.0×10^5 cells/mL, 90 rpm, 37 °C, 80 % humidity, 5 % CO2, with supernatant collected every 24 h (n=3).
• Organic analytes were prepared by protein removal and analyzed using a dedicated LC-MS/MS cell culture profiling method covering 144 compounds.
• Inorganic elements were quantified by diluting samples in 1 % nitric acid and measuring with ICP-MS, targeting Co, Cu, Fe, Mg, Mn, Mo, Ni, Se and Zn.
• Data visualization employed multi-omics blank maps; correlation and pathway enrichment analyses were carried out using MetaboAnalyst.

Used Instrumentation


• Nexera X3 ultra-high-performance liquid chromatograph
• LCMS-8060NX triple quadrupole mass spectrometer
• ICPMS-2030 inductively coupled plasma mass spectrometer

Main Results and Discussion


• Late-stage culture showed depletion of several amino acids (asparagine, arginine, methionine) and vitamins, indicating feed requirements.
• Metabolites such as lactic acid and succinic acid shifted from uptake to secretion over time, revealing dynamic metabolic transitions.
• Metal element profiles displayed distinct uptake patterns and timing differences among the nine targeted elements.
• Correlation analysis (|r|>0.5, FDR<0.05) linked specific organic metabolites (including glutathione pathway intermediates) and metals to antibody production rate.
• Enrichment analysis identified glutathione metabolism and the urea cycle as key pathways positively associated with antibody synthesis.

Benefits and Practical Applications


• Simultaneous, separate quantification of organic and inorganic medium components with minimal sample preparation.
• Detailed metabolic profiles guide medium formulation and feeding strategies.
• Supports rational design of cell culture processes to enhance antibody yield and quality.

Future Trends and Potential Applications


• Integration with proteomic and transcriptomic data for comprehensive systems-level insights.
• Development of real-time monitoring platforms to dynamically adjust culture conditions.
• Extension to other bioproduction hosts, including viral vectors and cell-based therapies.

Conclusion


The combined LC-MS/MS and ICP-MS workflow effectively characterizes the interplay of organic and inorganic components in CHL-YN cell culture. Identified metabolites, metals, and pathways offer actionable targets to optimize culture conditions and improve biopharmaceutical production.

References


• Yamano-Adachi N., Arishima R., Puriwat S., Omasa T. Establishment of fast-growing serum-free immortalised cells from Chinese hamster lung tissues for biopharmaceutical production. Sci. Rep. 2020;10:17612.
• Graham R.J., Bhatia H., Yoon S. Consequences of trace metal variability and supplementation on Chinese hamster ovary (CHO) cell culture performance: a review of key mechanisms and considerations. Biotechnol. Bioeng. 2019;116(12):3446–3456.
• Pang Z., Chong J., Zhou G., Anderson de Lima Morais D., Chang L., Barrette M., Gauthier C., Jacques P.-É., Li S., Xia J. MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights. Nucleic Acids Res. 2021;49(W1):W388–W396.
• MetaboAnalyst software suite for metabolomic and pathway enrichment analysis.

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