Storage duration without VPs observed for mAb X DP as a function of [mAb]. The 24 formulations (listed in Table 1) represent unique combinations of [mAb], initial [PS20], and pH. At the end of the DP stability study (24 weeks at 5 °C), only one formulation (F24 as shown in Table 1) remained free from VPs

Storage duration without VPs observed for mAb X DP as a function of [mAb]. The 24 formulations (listed in Table 1) represent unique combinations of [mAb], initial [PS20], and pH. At the end of the DP stability study (24 weeks at 5 °C), only one formulation (F24 as shown in Table 1) remained free from VPs

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Hydrolytic degradation of the polysorbate 20 (PS20) surfactant in protein-based liquid formulations releases free fatty acids (FFAs), which can accumulate to form particles in drug products during real-time (long-term) storage. To identify formulation conditions that mitigate the risk of particle formation, we conducted a longitudinal study using p...

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... formation was evaluated using two different approaches: Ph. Eur./USP method for VPs and HIAC liquid particle counter for monitoring cumulative SVP counts. PS20 degradation was evaluated using three orthogonal analytical methods to quantify: (1) intact PS20; (2) FFAs, the main degradants from PS20 hydrolysis; and (3) PS20 ester distribution. (Fig. 2). These observations are consistent with previously observed directionality of [mAb] (Labrenz 2014) and initial [PS20] ( Roy et al. 2021) on FFA generation rates and consequently FFA particle formation. The VP results were similar between pH 5 and pH 6 samples ( Fig. 2 and Table 1), with a marginal benefit at pH 6, consistent with our ...
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... the main degradants from PS20 hydrolysis; and (3) PS20 ester distribution. (Fig. 2). These observations are consistent with previously observed directionality of [mAb] (Labrenz 2014) and initial [PS20] ( Roy et al. 2021) on FFA generation rates and consequently FFA particle formation. The VP results were similar between pH 5 and pH 6 samples ( Fig. 2 and Table 1), with a marginal benefit at pH 6, consistent with our projections based on the minimal predicted positive impact of higher pH in this range on PA solubility using our previously published FFA model ( Doshi et al. 2015Doshi et al. , ...
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... (Fig. 4), similar to the directionality of their effect on the storage duration with no VPs (Fig. 2). By contrast, formulation pH did not show a notable impact on the SVP count profiles ( Fig. 3; Supplementary Figs. S1, S2, and S3) or on the duration with low SVP counts (Fig. ...
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... would increase the FFA solubility limit ( Doshi et al. 2015). Over time, the calculated FFA solubility limits are projected to decline because of the corresponding PS20 degradation that lowers the FFAsolubilizing capacity of the formulation. The more rapid decline in FFA solubility limit at the highest [mAb] relative to the lowest [mAb] (Fig. 12) is consistent with the more rapid decline in [PS20] at higher [mAb] (Figs. 6 and ...
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... predictions from the FFA solubility model were compared against the empirical observations for each formulation (Fig. 12). In the top three panels, the blue hollow circles (and associated blue lines) denote the calculated solubility limits for LA, MA, and PA, while the red filled circles (and associated red lines) denote the measured concentrations of these three FFAs. For a given formulation, the intersection of the blue and red lines represents the time ...
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... (and associated red lines) denote the measured concentrations of these three FFAs. For a given formulation, the intersection of the blue and red lines represents the time point where the measured FFA concentration reached its calculated solubility limit and the FFA is expected to thereafter fall out of solution and precipitate as FFA particles (Fig. 12, top 3 panels). The expected VP onset from the FFA solubility model for LA, MA, and PA corroborated the general VP and SVP trends observed in this longitudinal DOE study: (1) lower [mAb] extended VP-free duration; (2) higher initial [PS20] extended VP-free duration; (3) pH had minimal ...
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... solubility for LA, MA, and PA decreases in this order, in an inverse relationship to their chain lengths ( Doshi et al. 2020). Therefore, PA has the lowest calculated solubility limit of the three FFAs. PA is also projected to accumulate beyond its solubility limit at earlier time points than LA and MA and thereby precipitate earlier. In Fig. 12, the intersections of the blue and red lines for PA (third panel from top) occur at earlier time points relative to LA (top panel) and MA (second panel from top), thereby indicating that the long-chain FFAs like PA are likely the root cause for the onset of particles. In the bottom panel of Fig. 12, the first time points where VPs were ...
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... LA and MA and thereby precipitate earlier. In Fig. 12, the intersections of the blue and red lines for PA (third panel from top) occur at earlier time points relative to LA (top panel) and MA (second panel from top), thereby indicating that the long-chain FFAs like PA are likely the root cause for the onset of particles. In the bottom panel of Fig. 12, the first time points where VPs were observed are denoted by green asterisks and the rise The pH of the formulation impacts the LA solubility limits-pH 6 has a higher predicted LA solubility relative to pH 5 (Fig. 12). By contrast, pH has minimal impact on the predicted solubility limits of MA and PA. The higher LA solubility limit at ...
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... thereby indicating that the long-chain FFAs like PA are likely the root cause for the onset of particles. In the bottom panel of Fig. 12, the first time points where VPs were observed are denoted by green asterisks and the rise The pH of the formulation impacts the LA solubility limits-pH 6 has a higher predicted LA solubility relative to pH 5 (Fig. 12). By contrast, pH has minimal impact on the predicted solubility limits of MA and PA. The higher LA solubility limit at pH 6 relative to pH 5 is attributed to the increased proportion of ionized LA-which is significantly more soluble than its non-ionized form-in the pH 6 formulations ( Doshi et al. 2015). Owing to their high pKas (> 7), ...
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... mAb X DP. Based on the longitudinal model, the effect estimates for the interaction between [mAb] and initial [PS20] exceeded the effect estimates for pH on (Table 2). The [mAb] × initial [PS20] interaction is also manifested in the observed differences in slopes at the different initial [PS20] for the following four outputs: (1) VP-free duration (Fig. 2); (2) low SVP duration (Fig. 4); (3) (Fig. 7); and (4) d [LA]/dt with [mAb] (Fig. 9). By contrast, the slopes for pH 5 and pH 6 formulations across these four outputs were relatively similar within the same initial [PS20] (Figs. 2, 4, 7, and 9), consistent with the relatively small effect estimates for pH and its interaction with the ...
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... observed differences in slopes at the different initial [PS20] for the following four outputs: (1) VP-free duration (Fig. 2); (2) low SVP duration (Fig. 4); (3) (Fig. 7); and (4) d [LA]/dt with [mAb] (Fig. 9). By contrast, the slopes for pH 5 and pH 6 formulations across these four outputs were relatively similar within the same initial [PS20] (Figs. 2, 4, 7, and 9), consistent with the relatively small effect estimates for pH and its interaction with the other formulation parameters on particle formation and PS20 degradation (Table ...
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... identity of the recombinant protein or the type of polysorbate (PS20 or PS80). The concentration of residual HCPs in a therapeutic protein product is expected to increase with protein concentration if no bioprocess changes (apart from concentrating the product) are made to the upstream and downstream steps for protein production and purification. Fig. 12 Comparison of calculated FFA solubility limits (blue hollow circles) with corresponding FFA measurements (red filled circles), SVP counts (black filled diamonds), and VP observations (green asterisks) in mAb X DP stored at 5 °C. FFA solubility limits at the different time points for each formulation were calculated using the updated ...

Citations

... The possible stabilizing effect of KLEPTOSE ® HPB might be due to its direct interaction with the protein [33]. Polysorbate degradation in protein formulations is widely reported and the accumulation of soluble free fa y acids can trigger undesirable particles [34]. The addition of KLEPTOSE ® HPB might interact with polysorbates to prevent their degradation. ...
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Monoclonal antibodies require careful formulation due to their inherent stability limitations. Polysorbates are commonly used to stabilize mAbs, but they are prone to degradation, which results in unwanted impurities. KLEPTOSE® HPβCD (hydroxypropyl beta-cyclodextrin) has functioned as a stable stabilizer for protein formulations in our previous research. The current study investigates the collaborative impact of combining polysorbates and HPβCD as excipients in protein formulations. The introduction of HPβCD in formulations showed it considerably reduced aggregation in two model proteins, bevacizumab and ipilimumab, following exposure to various stress conditions. The diffusion interaction parameter revealed a reduction in protein–protein interactions by HPβCD. In bevacizumab formulations, the subvisible particle counts per 0.4 mL of samples in commercial formulations vs. formulations containing both HPβCD and polysorbates subjected to distinct stressors were as follows: agitation, 87,308 particles vs. 15,350 particles; light, 25,492 particles vs. 6765 particles; and heat, 1775 particles vs. 460 particles. Isothermal titration calorimetry (ITC) measurement indicated a weak interaction between PS 80 and HPβCD, with a KD value of 74.7 ± 7.5 µM and binding sites of 5 × 10–3. Surface tension measurements illustrated that HPβCD enhanced the surface activity of polysorbates. The study suggests that combining these excipients can improve mAb stability in formulations, offering an alternative for the biopharmaceutical industry.
... Such phenomenon and the mechanism behind are continuously attracting the attention from researchers due to its potential impact on the drug product quality [1,12]. Losing the surfactant protection may trigger the protein aggregation and particles formation, which are generally regarded as critical quality attributes and may lead to enhanced immunogenicity [13,14]. Due to the heterogeneity of the polysorbates and the mutual effects with other formulation compositions, the study of polysorbate degradation is challenging. ...
Article
A study on the polysorbate 80 stability in various formulation buffers commonly used in biopharmaceuticals was performed, to investigate the excipients influence on polysorbate 80 degradation. Polysorbate 80 is a common excipient in biopharmaceutical products. However, its degradation will potentially impact the drug product quality, and may trigger protein aggregation and particles formation. Due to the heterogeneity of the polysorbates and the mutual effects with other formulation compositions, the study of polysorbate degradation is challenging. Herein, a real-time stability study was designed and performed. The polysorbate 80 degradation trend was monitored by fluorescence micelle-based assay (FMA), reversed-phase-ultra-performance liquid chromatography-evaporative light scattering detector (RP-UPLC-ELSD) assay, and LC-MS assay. These assays provide orthogonal results to reveal both the micelle-forming capability and the compositional changes of polysorbate 80 in different buffer systems. The degradation occurred after a period of storage under 25 °C in different trend, which indicates the excipients could impact the degradation kinetics. Upon comparison, the degradation is prone to happen in histidine buffer than in acetate, phosphate or citrate buffers. LC-MS confirms oxidation as an independent degradation pathway with detection of the oxidative aldehyde. Thus, it is necessary to pay more attention to the excipients selection and their potential impact on polysorbate 80 stability to achieve longer shelf life for the biopharmaceuticals. Besides, the protective roles of several additives were figured out, which could be applied as potential industrial solutions to the polysorbate 80 degradation issues.
Article
Free fatty acid (FFA) particles that originate from the enzymatic hydrolysis of polysorbate (PS) via co-purified host cell proteins generally appear abruptly in drug products during real-time (long-term) storage. Efforts were taken to understand the kinetics of FFA particle formation, aiming for a mitigation strategy. However, it is rather challenging particularly in the sub-visible particle (SVP) range, due to either the insufficient sensitivity of the analytical techniques used or the interference of the formulation matrices of proteinaceous drug products. In this study, we examined the feasibility of Raman microscopy, backgrounded membrane imaging (BMI) and total holographic characterization (THC) on the detection of FFA sub-visible particles (SVPs). The results indicate that THC is the most sensitive technique to track their occurrence during the course of PS hydrolysis. Moreover, with this technique we are able to distinguish different stages of FFA particle formation in the medium. In addition, a real time stability study of a biopharmaceutical was analyzed, demonstrating the viability of THC to monitor SVPs in a real sample and correlate it to the visible particles (VPs) occurrence.