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Study on the formulation robustness of biopharmaceutical drug products based on multivariate data analysis
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Lei NIE1, 2, Wei-jie FANG3, Ting-ting GUO1, 2, Ci QIAN2, Yi ZHANG2, Hai-bin QU3, Hai-bin WANG1, 2
Chinese Journal of New Drugs | 2023, 32(6) : 576 - 582
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Chinese Journal of New Drugs | 2023, 32(6): 576-582
Study on the formulation robustness of biopharmaceutical drug products based on multivariate data analysis
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Lei NIE1, 2, Wei-jie FANG3, Ting-ting GUO1, 2, Ci QIAN2, Yi ZHANG2, Hai-bin QU3, Hai-bin WANG1, 2
Affiliations
  • 1BioRay Pharmaceutical Co., Ltd., Taizhou 318000, China
  • 2Hisun Biopharmaceutical Co., Ltd., Hangzhou 311404, China
  • 3Zhejiang University, Hangzhou 310058, China
Published: 2023-03-30
Outline
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Objective:

To explore the feasibility of multivariate data analysis (MVDA) in formulation robustness study of biopharmaceutical drug products by taking an antibody-drug conjugate (ADC) HS630 as example.

Methods:

A two-level fractional factorial design with five factors was used to investigate the effects of protein content, contents of three excipients and pH on critical quality attributes. After preparation, the samples of each group were exposed to high temperature for 28 d and light for 10 d, respectively. The contents of polymers and free DM1 were detected and analyzed.

Results:

Partial least squares (PLS) method was used for model fitting and data analysis, and the model seemed good with an acceptable predictive capability. All the excipients and pH had no significant effect on the contents of polymers and free DM1. Although it was not significant, a higher free DM1 content was noticed with higher protein content and higher pH conditions. Light and high temperature had significant effects on the attributes of drug product with a similar trend but small ranges. The formulation in the studied range was regarded as robust.

Conclusion:

Taking MVDA method into formulation robustness study of drug products can analyze the multi-dimensional data obtained under different treatment conditions. The critical components of the formulation can be identified, and the influence of treatment conditions on the critical quality attributes can be investigated.

multivariate data analysis  /  biopharmaceutical drug product  /  formulation robustness
Lei NIE, Wei-jie FANG, Ting-ting GUO, Ci QIAN, Yi ZHANG, Hai-bin QU, Hai-bin WANG. Study on the formulation robustness of biopharmaceutical drug products based on multivariate data analysis[J]. Chinese Journal of New Drugs, 2023 , 32 (6) : 576 -582 .
Year 2023 volume 32 Issue 6
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  • Online Date:2026-03-06
  • Published:2023-03-30
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History
  • Accepted:2022-07-11
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    1BioRay Pharmaceutical Co., Ltd., Taizhou 318000, China
    2Hisun Biopharmaceutical Co., Ltd., Hangzhou 311404, China
    3Zhejiang University, Hangzhou 310058, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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