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Rapid methodology for basal system selection of therapeutic proteins during the early stage biopharmaceutical development

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Abstract

Purpose

This study aimed to introduce a quick method for developing formulations during the early stages of biopharmaceutical drug development, starting from the isoelectric point (pI).

Methods

Human insulin and etanercept, an Fc fusion protein, were used as model proteins to observe the effects of pH, buffer, and buffer concentration on their physicochemical properties. For biophysical analysis, dynamic light scattering (DLS), micro differential scanning calorimetry (μDSC), and circular dichroism (CD) were utilized to measure zeta average size with zeta potential, transition melting temperature, and secondary structure, respectively. Furthermore, an accelerated storage test was performed at 4 °C, 25 °C, and 40 °C using size exclusion chromatography (SEC) to evaluate storage stability.

Results

Zeta potential measurements showed that the practical pI of human insulin in solution was 5.8 to 6.0, and the pI of etanercept was 5.0 to 5.1. Acetate and phosphate were selected as buffering agents, and the pH range was pH 3.4 to 7.4 with different buffer concentrations, 10 mM and 50 mM. Protein stability was increased when the pH was away from the pI with a relatively high absolute zeta potential, resulting in increased conformational stability and storage stability. Response surface methodology (RSM) was also used to identify a suitable pH and buffer.

Conclusion

The determined pH and buffer were able to suppress protein aggregation and to sustain the monomer fraction, thereby increasing protein stability. Therefore, the approach in selecting basal system could be very useful during the early stage biopharmaceutical development.

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References

  • Blessy M, Patel RD, Prajapati PN, Agrawal Y (2014) Development of forced degradation and stability indicating studies of drugs—a review. J Pharm Anal 4:159–165

    Article  CAS  Google Scholar 

  • Box G, Bisgaard S, Fung C (1988) An explanation and critique of Taguchi’s contributions to quality engineering. Qual Reliab Eng Int 4:123–131

    Article  Google Scholar 

  • Bruylants G, Wouters J, Michaux C (2005) Differential scanning calorimetry in life science: thermodynamics, stability, molecular recognition and application in drug design. Curr Med Chem 12:2011–2020

    Article  CAS  Google Scholar 

  • Carpenter JF, Randolph TW, Jiskoot W, Crommelin DJ, Middaugh CR, Winter G, Fan YX, Kirshner S, Verthelyi D, Kozlowski S (2009) Overlooking subvisible particles in therapeutic protein products: gaps that may compromise product quality. J Pharm Sci 98:1201–1205

    Article  CAS  Google Scholar 

  • Cleland JL, Powell MF, Shire SJ (1993) The development of stable protein formulations: a close look at protein aggregation, deamidation, and oxidation. Crit Rev Ther Drug Carr Syst 10:307–377

    CAS  Google Scholar 

  • Fitch CA, Karp DA, Lee KK, Stites WE, Lattman EE, García-Moreno EB (2002) Experimental pK a values of buried residues: analysis with continuum methods and role of water penetration. Biophys J 82:3289–3304

    Article  CAS  Google Scholar 

  • Frokjaer S, Otzen DE (2005) Protein drug stability: a formulation challenge. Nat Rev Drug Discov 4:298–306

    Article  CAS  Google Scholar 

  • Greenfield NJ (2006) Using circular dichroism spectra to estimate protein secondary structure. Nat Protoc 1:2876–2890

    Article  CAS  Google Scholar 

  • Hassett B, Scheinberg M, Castañeda-Hernández G, Li M, Rao UR, Singh E, Mahgoub E, Coindreau J, O’brien J, Vicik SM (2018) Variability of intended copies for etanercept (Enbrel®): data on multiple batches of seven products. MAbs 10:166–176

    Article  CAS  Google Scholar 

  • Hawe A, Wiggenhorn M, Van De Weert M, Garbe JH, Mahler HC, Jiskoot W (2012) Forced degradation of therapeutic proteins. J Pharm Sci 101:895–913

    Article  CAS  Google Scholar 

  • Kim NA, An IB, Lee SY, Park ES, Jeong SH (2012) Optimization of protein solution by a novel experimental design method using thermodynamic properties. Arch Pharm Res 35:1609–1619

    Article  CAS  Google Scholar 

  • Kim NA, An IB, Lim DG, Lim JY, Lee SY, Shim WS, Kang NG, Jeong SH (2014a) Effects of pH and buffer concentration on the thermal stability of etanercept using DSC and DLS. Biol Pharm Bull 37:808–816

    Article  CAS  Google Scholar 

  • Kim NA, Lim DG, Lim JY, Kim KH, Jeong SH (2014b) Comprehensive evaluation of etanercept stability in various concentrations with biophysical assessment. Int J Pharm 460:108–118

    Article  CAS  Google Scholar 

  • Kim NA, Hada S, Thapa R, Jeong SH (2016) Arginine as a protein stabilizer and destabilizer in liquid formulations. Int J Pharm 513:26–37

    Article  CAS  Google Scholar 

  • Kim NA, Thapa R, Jeong SH (2017) Preferential exclusion mechanism by carbohydrates on protein stabilization using thermodynamic evaluation. Int J Biol Macromol 109:311–322

    Article  Google Scholar 

  • Kim NA, Thapa R, Jeong SH, Bae HD, Maeng J, Lee K, Park K (2019) Enhanced intranasal insulin delivery by formulations and tumor protein-derived protein transduction domain as an absorption enhancer. J Control Release 294:226–236

    Article  CAS  Google Scholar 

  • Mandzy N, Grulke E, Druffel T (2005) Breakage of TiO2 agglomerates in electrostatically stabilized aqueous dispersions. Powder Technol 160:121–126

    Article  CAS  Google Scholar 

  • Manning MC, Patel K, Borchardt RT (1989) Stability of protein pharmaceuticals. Pharm Res 6:903–918

    Article  CAS  Google Scholar 

  • Manning MC, Chou DK, Murphy BM, Payne RW, Katayama DS (2010) Stability of protein pharmaceuticals: an update. Pharm Res 27:544–575

    Article  Google Scholar 

  • Müller R, Jacobs C, Kayser O (2001) Nanosuspensions as particulate drug formulations in therapy: rationale for development and what we can expect for the future. Adv Drug Deliv Rev 47:3–19

    Article  Google Scholar 

  • Oliva A, Fariña J, Llabrés MA (2000) Development of two high-performance liquid chromatographic methods for the analysis and characterization of insulin and its degradation products in pharmaceutical preparations. J Chromatogr B-Biomed 749:25–34

    Article  CAS  Google Scholar 

  • Scalley ML, Baker D (1997) Protein folding kinetics exhibit an Arrhenius temperature dependence when corrected for the temperature dependence of protein stability. Proc Natl Acad Sci 94:10636–10640

    Article  CAS  Google Scholar 

  • Shin S, Cho BR (2005) Bias-specified robust design optimization and its analytical solutions. Comp Ind Eng 48:129–140

    Article  Google Scholar 

  • Solá RJ, Griebenow K (2009) Effects of glycosylation on the stability of protein pharmaceuticals. J Pharm Sci 98:1223–1245

    Article  Google Scholar 

  • Tunga BS, Sharma S, Dua R, Dutta S, Mallubhotla H, Pandey V, Chhatbar C (2011) Liquid formulation of polypeptides containing an Fc domain of an immunoglobulin. WO Patent 2,011,141,926

  • Ugwu SO, Apte SP (2004) The effect of buffers on protein conformational stability. Pharm Technol 28:86–109

    CAS  Google Scholar 

  • Weiss WF, Young TM, Roberts CJ (2009) Principles, approaches, and challenges for predicting protein aggregation rates and shelf life. J Pharm Sci 98:1246–1277

    Article  CAS  Google Scholar 

  • Wintersteiner O, Abramson HA (1933) The isoelectric point of insulin electrical properties of adsorbed and crystalline insulin. J Biol Chem 99:741–753

    CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07045154) and by the Technology Innovation Program (20000265, Stabilization platform of high concentration and stable liquid injection based on physical properties of biomaterials) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).

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Correspondence to Seong Hoon Jeong.

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Kim, N.A., Heo, B. & Jeong, S.H. Rapid methodology for basal system selection of therapeutic proteins during the early stage biopharmaceutical development. J. Pharm. Investig. 50, 363–372 (2020). https://doi.org/10.1007/s40005-019-00461-z

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