Detergent-mediated virus inactivation (VI) provides a valuable orthogonal strategy for viral clearance particularly for next generation continuous manufacturing. Furthermore, there exists an industry-wide need to replace the conventionally employed detergent, Triton X-100, with eco-friendly alternatives. This study provides a systematic approach to screen detergents as VI agents through the study of VI of three different enveloped viruses for monoclonal antibodies and fusion proteins. We investigated three major aspects of VI namely, the impact of VI agent on the therapeutic quality attributes, clearance of the VI agent and other impurities through subsequent chromatographic steps and lastly the efficacy of VI for the said detergent. Several quality attributes such as charge variance, oxidation, deamidation, glycosylation and aggregation were investigated. Aggregation was a key indicator of stability. Experimental and modeling data was used to decipher the mechanism and kinetics of aggregation for pH sensitive molecules by exploring worst case VI conditions. We found product aggregation and its kinetics to be driven by extrinsic factors such as detergent and protein concentration. Aggregation was also impacted by initial aggregation level as well as intrinsic factors such as the protein sequence and detergent hydrophobicity and critical micelle concentration (CMC). VI efficiency was dependent on the virus tested, duration of incubation as well as detergent CMC and concentration. Dodecyl maltopyranoside (DDM) was found to be a promising candidate for potential application in VI. Knowledge gained here on factors driving product stability and VI provides valuable insight to design, standardize and optimize conditions (concentration, duration of inactivation) for screening of detergent-mediated VI.

Viral surrogates to screen for virus inactivation (VI) can be a faster, cheaper and safer alternative to third-party testing of pathogenic BSL2 (Biosafety Level 2) model viruses. Although the bacteriophage surrogate, Ø6, has been used to assess low pH BSL2 VI, it has not been used for evaluation of detergent-mediated VI. Furthermore, Ø6 is typically assayed through host cell infectivity which introduces the risk of cross-contaminating other cell lines in the facility. To circumvent contamination, we developed an in-house RT-qPCR (reverse transcriptase quantitative polymerase chain reaction) assay for selective detection of active Ø6 from a population of live and dead phage. The RT-qPCR assay was used to evaluate Ø6 inactivation in cell culture fluid of monoclonal antibody and fusion protein. Complementary Ø6 infectivity was also conducted at a third-party testing facility. The Ø6 RT-qPCR and infectivity data was modeled against VI of three BSL2 viruses, X- MuLV, A- MuLV and HSV-1 in corresponding therapeutics. Both Ø6 methods demonstrate that any VI agent showing Ø6 clearance of ≥ 2.5 logs would demonstrate complete BSL2 VI of ≥ 4.0 logs. Compared to BSL2 virus testing, this in-house Ø6 RT-qPCR tool can screen VI agents at 5% the cost and a turnaround time of 2-3 days versus 4-7 months.

Disulfide bond reduction has been a challenging issue in antibody manufacturing, as it leads to reduced product purity, failed product specifications and more importantly, impacting drug safety and efficacy. Scientists across industry have been examining the root causes and developing mitigation strategies to address the challenge. In recent years, with the development of high-titer mammalian cell culture processes to meet the rapidly growing demand for antibody biopharmaceuticals, disulfide bond reduction has been observed more frequently. Thus, it is necessary to continue evolving the disulfide reduction mitigation strategy and development of novel approaches to achieve high product quality. Additionally, in recent years as more complex molecules emerge such as bispecific and trispecific antibodies, the molecular heterogeneity due to incomplete formation of the interchain disulfide bonds becomes a more imperative issue. Given the disulfide reduction challenges that our industry are facing, in this review, we provide a comprehensive contemporary scientific insight into the root cause analysis of disulfide reduction during process development of antibody therapeutics, mitigation strategies and recovery based on our expertise in commercial and clinical manufacturing of biologics. First, this paper intended to highlight different aspects of the root cause for disulfide reduction. Secondly, to provide a broader understanding of the disulfide bond reduction in downstream process, this paper discussed disulfide bond reduction impact to product stability and process performance, analytical methods for detection and characterization, process control strategies and their manufacturing implementation. In addition, brief perspectives on development of future mitigation strategies will also be reviewed, including platform alignment, mitigation strategy application for bi- and tri-specific antibodies and using machine learning to identify molecule susceptibility of disulfide bond reduction. The data in this review are originated from both the published papers and our internal development work.

Significant amounts of soluble product aggregates were observed in the low-pH viral inactivation (VI) opertion during an initial scale-up run for an IgG4 monoclonal antibody (mAb IgG4-N1). Being earlier in development, a scale-down model did not exist, nor was it practical to use costly Protein A eluate (PAE) for testing the VI process at scale, thus, a computational fluid dynamics (CFD)-based high molecular weight (HMW) prediction model was developed for troubleshooting and risk mitigation. It was previously reported that the IgG4-N1 molecules upon exposure to low pH tend to change into transient and partially unfolded monomers during VI acidification (i.e., VIA) and form aggregates after neutralization (i.e., VIN) (Jin et al. 2019). Therefore, the CFD model reported here focuses on the VIA step. The model mimics the continuous addition of acid to PAE and tracks acid distribution during VIA. Based on the simulated low-pH zone (≤ pH 3.3) profiles and PAE properties, the integrated low-pH zone (ILPZ) value was obtained to predict HMW level at the VI step. The simulations were performed to examine the operating parameters, such as agitation speed, acid addition rate, and protein concentration of PAE, of the pilot scale (50-200L) runs. The conditions with predictions of no product aggregation risk were recommended to the real scale-up runs, resulted in 100% success rate of the consecutive 12 pilot-scale runs. This work demonstrated that the CFD-based HMW prediction model could be used as a tool to facilitate the scale up of the low-pH VI process directly from bench to pilot/production scale.