mAb Concentration Research Articles

Copper-based nanozyme-linked immunosorbent assay for quantitative detection of fumonisin B1

Fumonisin B1 (FB1) is a Group 2B carcinogen. It is vital to develop an ultra-sensitive, low-cost, and rapid screening method for FB1 for food safety risk control. In this study, a novel copper-based nanozyme was synthesized. The anti-FB1 monoclonal antibody (mAb) was conjugated with copper-based nanozyme through physical adsorption to probe construction. The probe could compete with the limited antigen and trigger a color change when employing the 3,3’,5,5’-tetramethylbenzidine (TMB) as chromogenic substrate in the presence of H2O2. Several experimental conditions were optimized, including the concentration of coating antigen, the concentration of mAb coupled to the nanozyme, incubation time, and methanol concentration. Under optimal conditions, a direct competitive nanozyme-linked immunosorbent assay (NLISA) has been established with a limit of detection (LOD) of 6.52 pg/mL. The developed method presented good accuracy and precision. The spiked recoveries ranged from 97.368 % to 120.916 %, with coefficient of variation (CV) below 10 %. In addition, there was a high consistency (R2=0.9820 for corn; R2=0.9936 for wheat) between the developed detection method and the reference method, liquid chromatography/mass spectrometry (LC-MS/MS). This research can expand the application areas of copper-based nanozymes and improve the sensitivity and efficiency of FB1 monitoring.

Evaluating surfactant effectiveness in preventing antibody adsorption directly on medical surfaces using a novel device

Biopharmaceuticals, specifically antibody-based therapeutics, have revolutionized disease treatment. Throughout their lifecycle, these therapeutic proteins are exposed to several stress conditions, for example at interfaces, posing a risk to the drug product stability, safety and quality. Therapeutic protein adsorption at interfaces may lead to loss of active product and protein aggregation, with potential immunogenicity risks. Non-ionic surfactants are commonly added in formulations to mitigate protein-surface interactions. However, their effectiveness varies with the monoclonal antibody (mAb), and model surface material. Extrapolating findings from model surfaces to real medical surfaces is challenging due to diverse properties.This study pioneers the evaluation of surfactant effectiveness in preventing mAb adsorption directly on medical surfaces at the medical bag/formulation interface, utilizing the ELIBAG device. The adsorption of different protein modalities, mAbs and antibody-drug conjugate (ADC), using three surfactants (PS80, PS20, and P188), was examined across various medical surfaces, IV bags and manufacturing bags, and model surfaces. Our findings reveal that surfactants prevent mAb adsorption depending on the mAb modality, surfactant type and concentration, and surface material. This research underscores the importance of considering real medical surfaces in direct contact with formulations, offering insights for enhancing drug product development and ensuring material-protein compatibility in real world use.

Characterization of monoclonal antibody charge variants under near-native separation conditions using nanoflow sheath liquid capillary electrophoresis-mass spectrometry

BackgroundMonoclonal antibodies (mAbs) undergo multiple post-translational modifications (PTMs) during production and storage, resulting for instance in charge and oxidized variants. PTMs need to be assessed as critical quality attributes to assure protein quality and safety. Capillary zone electrophoresis (CZE) enables efficient charge-based separation. The CZE method developed by He et al. (2011) is currently applied routinely in the pharmaceutical industry for profiling charge heterogeneity of mAbs. However, as the method relies on a non-volatile background electrolyte (BGE), it cannot be directly hyphenated with mass spectrometry (MS), hampering the identification of separated charge variants. ResultsThis study presents a CZE-UV/MS method using a neutral static capillary coating of hydroxypropyl methylcellulose combined with a volatile BGE at pH 5.0 to allow for MS-compatible mAb charge variant separations. The effect of several parameters, including pH and concentration of the BGE, applied voltage, and injected mAb concentrations on separation performance was investigated using a panel of commercially available mAbs. The optimized method was evaluated with IgG1 and IgG4 mAbs of varying pI (7.4–9.2) and degrees of heterogeneity. Basic and acidic variants were separated from the parent mAb using a BGE of 50 mM acetic acid adjusted to pH 5.0 with ammonium hydroxide. The relative abundances of charge variants determined with the new method showed a good correlation with the corresponding relative levels obtained with the method of He et al. CZE-MS coupling was accomplished using the nanoCEasy, a low-flow sheath liquid interface, which enabled the identification and quantitation of basic, acidic, and incomplete pyroglutamate variants, and glycoforms of the tested mAbs. SignificanceThis manuscript describes a new CZE-MS method that permits heterogeneity assessment of mAbs under MS-compatible conditions, providing charge variant separation.

B-067 Human IgE Monoclonal Antibodies as Unique Tools for Allergy Diagnostics

Abstract Background Current blood-based tests for allergy diagnosis rely on human sera or plasma as the source of IgE antibody for method validation and calibration. Obtaining human samples with sufficiently high levels of IgE presents challenges for researchers and diagnostic companies. Here, we present a unique panel of allergen-specific human IgE monoclonal antibodies (mAb) that target inhalant, food and alpha-gal allergens and offer novel approaches for investigation of IgE responses and standardization of allergy diagnostic reagents and methods. Methods Human IgE mAb (n=30) targeting inhalant allergens from dust mite, cat and dog; food allergens from peanut, egg, milk, walnut and cashew, and galactose-α-1,3-galactose, were generated from B cells from symptomatic allergic patients with rhinitis, asthma, atopic dermatitis or red meat allergy using hybridoma technology. Total and allergen-specific IgE were quantified by ImmunoCAP (whole allergen ImmunoCAP were also performed). Allergen binding profiles and mAb titers were determined by two-site immunoassay (ELISA). Antibody purity was assessed using SDS-PAGE and Western Blot. Results SDS-PAGE showed single heavy and light chain bands under reducing conditions. Antibody recognition of target allergens was confirmed by Western Blot. Allergen-specific IgE mAb concentrations for inhalant allergens ranged: 9,000-37,000 kU/L for dust mite (n=3), 2,100-53,000 kU/L for cat (n=4), 5,300-21,000 for dog (n=2). Food allergens ranged: 16,300-49,400 kU/L for peanut (n=14), 15,700-81,000 for egg (n=2), 41,600 for milk (n=1), 7,100 for walnut (n=1) and 37,000 for cashew (n=1). Alpha-gal IgE monoclonals (n=2) ranged in concentration from 15,700-81,000 kU/L. The ratios of specific IgE to total IgE measured by ImmunoCAP vary by allergen and by individual human IgE mAb. Ratios for the inhalant mAb ranged from 0.04-1.05, for the food mAb the ratios ranged from 0.33-0.99. The two alpha-gal mAb showed relatively lower specific IgE levels (average ratio was 0.14; range=0.08-0.20). Conclusions Monoclonal IgE antibodies derived from patients presenting with allergic symptoms may provide a reliable replacement for human sera to investigate allergic disease. IgE mAb to inhalant and food allergens, and to the alpha-gal carbohydrate epitope, provide unique diagnostic markers and will offer improved accuracy for assessing patient allergy by standardizing diagnostic reagents and methods. Crystal structures of several of the human IgE mAb epitopes have recently been reported (Pomés et al, J Allergy Clin Immunol, 2024). The current panel of human IgE mAb can be expanded to include additional allergen targets, which may lead to the development of improved allergy therapeutics.

Impact of mAb-FcRn affinity on IgG transcytosis across human well-differentiated airway epithelium.

Effective treatment and immunoprophylaxis of viral respiratory infections with neutralizing monoclonal antibodies (mAbs) require maintaining inhibitory concentrations of mAbs at the airway surface. While engineered mAbs with increased affinity to the neonatal Fc receptor (FcRn) are increasingly employed, little is known how increased affinity of Fc to FcRn influences basal-to-apical transepithelial transport (transcytosis) of mAbs across the airway epithelium. To investigate this, we utilized a model of well-differentiated human airway epithelium (WD-HAE) that exhibited robust FcRn expression, and measured the transepithelial transport of a mAb against SARS-CoV-2 Spike protein (CR3022) with either wildtype IgG1-Fc or Fc modified with YTE or LS mutations known to increase affinity for FcRn. Despite the marked differences in the affinity of these CR3022 variants for FcRn, we did not find substantial differences in basal-to-apical transport reflective of systemic dosing, or apical-to-basal transport reflective of inhaled dosing, compared to the transport of wildtype IgG1-Fc. These results suggest increasing FcRn affinity may only have limited influence over transcytosis rates of systemically dosed mAbs across the human airway epithelium over short time scales. Over longer time scales, the elevated circulating levels of mAbs with greater FcRn affinity, due to more effective FcRn-mediated recycling, may better resupply mAb into the respiratory tract, leading to more effective extended immunoprophylaxis.

Alternative buffer systems in biopharmaceutical formulations and their effect on protein stability.

The formulation of biopharmaceutical drugs is designed to eliminate chemical instabilities, increase conformational and colloidal stability of proteins, and optimize interfacial stability. Among the various excipients involved, buffer composition plays a pivotal role. However, conventional buffers like histidine and phosphate buffers may not always be the optimal choice for all monoclonal antibodies (mAbs). In this study, we investigated the effects of several alternative buffer systems on seven different mAbs, exploring various combinations of ionic strengths, concentrations of the main buffer component, mAb concentrations, and stress conditions. Protein stability was assessed by analyzing soluble aggregate formation through size exclusion chromatography. At low protein concentrations, protein instability after temperature stress was exclusively observed in the bis-TRIS/ glucuronate buffer. Conversely, freeze-thaw stress led to a significant increase in aggregate formation in tested formulations, highlighting the efficacy of several alternative buffers, particularly arginine/ citrate, in preserving protein stability. Under temperature stress, the introduction of arginine to histidine buffer systems provided additional stabilization, while the addition of lysine resulted in protein destabilization. Similarly, the incorporation of arginine into histi-dine/HCl buffer further enhanced protein stability during freeze--thaw cycles. At high protein concentrations, the histidine/citrate buffer emerged as one of the most optimal choices for addressing temperature and light-induced stress. The efficacy of histidine buffers in combating light stress might be attributed to the light-absorbing properties of histidine molecules. Our findings demonstrate that the development of biopharmaceutical formulations should not be confined to conventional buffer systems, as numerous alternative options exhibit comparable or even superior performance.

Implementation of a Macroporous Polyhydroxyethylmethacrylate Cryogel-Based Mini-Bioreactor System to Improve Monoclonal Antibody Production.

Monoclonal antibodies (mAbs) are pioneers in the diagnosis and treatment of many diseases, such as cancer, asthma, poisoning, viral infections, etc. As the market value of mAbs increases in the biopharma industry, the demand for high quantities is met by upscaled production using bioreactor systems. Thus, disposable, porous matrices called cryogels have gained the primary focus for adherent support in the proliferation of hybridoma cells. In this study, a gelatin-immobilized polyhydroxyethylmethacrylate-based cryogel material (disc-shaped, 9 mL bed volume) was synthesized, and a mini-bioreactor set up developed for culturing hybridoma cells to produce mAbs continuously. The hybridoma clone, 1B4A2D5, secreting anti-human serum albumin monoclonal antibodies, was immobilized in the cryogel matrix (2 discs, 18 mL bed volume). The hybridoma cells were attached to the matrix within 12 h after inoculation, and the cells were in the lag phase for seven days, where they were secreted mAb into the circulation medium. During the initial exponential phase, the glucose consumption, lactic acid production, and mAb production were 3.36 mM/day, 3.67 mM/day, and 55.61 µg/mL/day, respectively. The medium was refreshed whenever the glucose in the media went below 50% of the initial glucose concentration. The cryogenic reactor was run continuously for 25 days, and the mAb concentration reached a maximum on the 17th day at 310.59 µg/mL. The cumulative amount of mAbs produced in 25 days of running was 246 µg/mL, 7.7 times higher than the mAbs produced from T-flask batch cultivation. These results demonstrate that the developed polyhydroxyethylmethacrylate-based cryogel reactor can be used efficiently for continuous mAb production.

Comparison of single-chain variable fragments and monoclonal antibody against dihydroartemisinin

Immunoassay relies on antibodies, but traditional antibodies such as monoclonal antibody (mAb) require animal immunization and complex procedures. Single-chain variable fragment (scFv) becomes a potential alternative to mAb with advantages of the low cost, rapid and easy prepared. In the present study, we prepared scFvs against dihydroartemisinin (DHA) based on E. coli and HEK293T cell expression system, named MBP-scFv and scFv-Fc, respectively. Their properties were compared with the parent mAb. The calculated affinity constants of mAb, MBP-scFv and scFv-Fc were 2.1 × 108 L mol−1, 2.2 × 107 L mol−1 and 1.6 × 108 L mol−1, respectively. The half inhibitory concentration (IC50) of mAb, MBP-scFv and scFv-Fc were 1.16 ng mL−1, 2.15 ng mL−1 and 6.57 ng mL−1, respectively. Both the scFv showed less sensitive than the mAb based on the IC50. The cross-reactivities of MBP-scFv for artemisinin and artesunate exhibited similarities to the mAb, yet the cross-reactivities of scFv-Fc for these compounds exceeded those of the mAb significantly. The stability of the scFvs was ascertained to be maintained for over 5 days at room temperature, and for more than a month at both 4 °C and − 20 °C. After that, the indirect competitive enzyme-linked immunosorbent assays (icELISAs) based on the scFv from E. coli were used to detect the DHA content in eight drug samples, and the result was consistent with ultra-performance liquid chromatography simultaneously. Although scFv can be used for quantitative determination of drugs, but it still cannot completely replace mAb in immunoassay without evolution and modification.

Immune restoration by TIGIT blockade is insufficient to control chronic SIV infection.

TIGIT is a negative immune checkpoint receptor associated with T cell exhaustion in cancer and HIV. TIGIT upregulation in virus-specific CD8+ T cells and NK cells during HIV/SIV infection results in dysfunctional effector capabilities. In vitro studies targeting TIGIT on CD8+ T cells suggest TIGIT blockade as a viable strategy to restore SIV-specific T cell responses. Here, we extend these studies in vivo using TIGIT blockage in nonhuman primates in an effort to reverse T cell and NK cell exhaustion in the setting of SIV infection. We demonstrate that in vivo administration of a humanized anti-TIGIT monoclonal antibody (mAb) is well tolerated in both cynomolgus macaques and rhesus macaques. Despite sustained plasma concentrations of anti-TIGIT mAb, we observed no consistent improvement in NK or T cell cytolytic capacity. TIGIT blockade minimally enhanced T cell proliferation and virus-specific T cell responses in both magnitude and breadth though plasma viral loads in treated animals remained stable indicating that anti-TIGIT mAb treatment alone was insufficient to increase anti-SIV CD8+ T cell function. The enhancement of virus-specific T cell proliferative responses observed in vitro with single or dual blockade of TIGIT and/or PD-1 highlights TIGIT as a potential target to reverse T cell dysfunction. Our studies, however, reveal that targeting the TIGIT pathway alone may be insufficient in the setting of viremia and that combining immune checkpoint blockade with other immunotherapeutics may be a future path forward for improved viral control or elimination of HIV.IMPORTANCEUpregulation of the immune checkpoint receptor TIGIT is associated with HIV-mediated T cell dysfunction and correlates with HIV disease progression. Compelling evidence exists for targeting immune checkpoint receptor pathways that would potentially enhance immunity and refocus effector cell efforts toward viral clearance. In this report, we investigate TIGIT blockade as an immunotherapeutic approach to reverse immune exhaustion during chronic SIV/SHIV infection in a nonhuman primate model of HIV infection. We show that interfering with the TIGIT signaling axis alone is insufficient to improve viral control despite modest improvement in T cell immunity. Our data substantiate the use of targeting multiple immune checkpoint receptors to promote synergy and ultimately eliminate HIV-infected cells.

The viscoelasticity of high concentration monoclonal antibodies using particle tracking microrheology.

The viscoelasticity of monoclonal antibodies (mAbs) is important during their production, formulation, and drug delivery. High concentration mAbs can provide higher efficacy therapeutics (e.g., during immunotherapy) and improved efficiency during their production (economy of scale during processing). Two humanized mAbs were studied (mAb-1 and mAb-2) with differing isoelectric points. Using high speed particle tracking microrheology, we demonstrated that the mAb solutions have significant viscoelasticities above concentrations of 40 mg/ml. Power law viscoelasticity was observed over the range of time scales (-1 s) probed for the high concentration mAb suspensions. The terminal viscosity demonstrated an exponential dependence on mAb concentration (a modified Mooney relationship) as expected for charged stabilized Brownian colloids. Gelation of the mAbs was explored by lowering the pH of the buffer and a power law scaling of the gelation transition was observed, i.e., the exponent of the anomalous diffusion of the probe particles scaled inversely with the gelation time.

Sensitivity studies and optimization of an impedance-based biosensor for point-of-care applications

In this study, we examined the relationship between the sensitivity of interdigitated electrode (IDE) impedimetric biosensors and the gap between the IDEs. Our aim is to find an optimal design to maximize sensitivity. A three-dimensional COMSOL model was constructed for determining the effects of electrode gap, width, and height on impedance sensitivity, revealing a singular linear correlation with the inner gap. Considering both the simulation results and fabrication processes, we have developed three IDE prototype chips with electrode gaps of 3 μm, 4 μm, and 5 μm, respectively. For empirical validation, human anti-SARS-CoV-2 monoclonal antibody (mAb) was utilized, with immobilization of the SARS-CoV-2 spike protein on the chip's surface for mAb capture. This interaction, further amplified by Protein G conjugation, induced shifts in the impedance spectrum. The sensitivity of each prototype chip was evaluated across mAb concentrations ranging from 50 ng/mL to 500 ng/mL. The 3 μm configuration emerged as the most sensitive, demonstrating the ability to detect mAb concentrations as low as 50 ng/mL, a threshold unattainable by the other designs. This outcome underscores the critical influence of reduced inter-electrode gap on enhancing biosensor detection limits. The findings from this investigation offer a foundational approach for advancing biosensor sensitivity via electrode geometric optimization, with broad potential applications extending beyond COVID-19 diagnostics to a wide spectrum of clinical and research contexts.

Bi-isotype immunoglobulins enhance antibody-mediated neutrophil activity against Plasmodium falciparum parasites.

Malaria remains a major global health priority, and monoclonal antibodies (mAbs) are emerging as potential new tools to support efforts to control the disease. Recent data suggest that Fc-dependent mechanisms of immunity are important mediators of protection against the blood stages of the infection, but few studies have investigated this in the context of mAbs. We aimed to isolate mAbs agnostic to cognate antigens that target whole merozoites and simultaneously induce potent neutrophil activity measured by the level of reactive oxygen species (ROS) production using an antibody-dependent respiratory burst (ADRB) assay. We used samples from semi-immune adults living in coastal Kenya to isolate mAbs that induce merozoite-specific ADRB activity. We then tested whether modifying the expressed IgG1 isotype to an IgG-IgA Fc region chimera would enhance the level of ADRB activity. We isolated a panel of nine mAbs with specificity to whole merozoites. mAb J31 induced ADRB activity in a dose-dependent fashion. Compared to IgG1, our modified antibody IgG-IgA bi-isotype induced higher ADRB activity across all concentrations tested. Further, we observed a negative hook effect at high IgG1 mAb concentrations (i.e., >200 µg/mL), but this was reversed by Fc modification. We identified MSP3.5 as the potential cognate target of mAb J31. We demonstrate an approach to engineer mAbs with enhanced ADRB potency against blood-stage parasites.

In vitro evaluation of the binding activity of novel mouse IgG1 opsonic monoclonal antibodies to Mycobacterium tuberculosis and other selected mycobacterial species

Antimicrobial resistance alongside other challenges in tuberculosis (TB) therapeutics have stirred renewed interest in host-directed interventions, including the role of antibodies as adjunct therapeutic agents. This study assessed the binding efficacy of two novel IgG1 opsonic monoclonal antibodies (MABs; GG9 & JG7) at 5, 10, and 25 µg/mL to live cultures of Mycobacterium tuberculosis, M. avium, M. bovis, M. fortuitum, M. intracellulare, and M. smegmatis American Type Culture Collection laboratory reference strains, as well as clinical susceptible, multi-drug resistant, and extensively drug resistant M. tuberculosis strains using indirect enzyme-linked immunosorbent assays. These three MAB concentrations were selected from a range of concentrations used in previous optimization (binding and functional) assays. Both MABs bound to all mycobacterial species and sub-types tested, albeit to varying degrees. Statistically significant differences in MAB binding activity were observed when comparing the highest and lowest MAB concentrations (p < 0.05) for both MABs GG9 and JG7, irrespective of the M. tuberculosis resistance profile. Binding affinity increased with an increase in MAB concentration, and optimal binding was observed at 25 µg/mL. JG7 showed better binding activity than GG9. Both MABs also bound to five MOTT species, albeit at varied levels. This non-selective binding to different mycobacterial species suggests a potential role for GG9 and JG7 as adjunctive agents in anti-TB chemotherapy with the aim to enhance bacterial killing.

Rapid and sensitive quantitation of amitraz in orange, tomato, and eggplant samples using immunochromatographic assay

Amitraz (AMT) is a broad-spectrum formamidine insecticide and acaricide. In this study, we produced an anti-AMT monoclonal antibody (mAb) with high performance. The half-maximal inhibitory concentration of the anti-AMT mAb was 4.418 ng/mL, the cross reactivity with other insecticides was negligible, and an affinity constant was 2.06 × 109 mmol/L. Additionally, we developed an immunochromatographic assay for the rapid detection of AMT residues in oranges, tomatoes, and eggplants. The cut-off values were 2000 μg/kg in oranges and tomato samples and 1000 μg/kg in eggplant samples and the calculated limits of detection were 14.521 μg/kg, 6.281 μg/kg, and 3.518 μg/kg in oranges, tomatoes, and eggplants, respectively, meeting the detection requirements for AMT in fruits and vegetables. The recovery rates ranged between 95.8 % and 105.2 %, consistent with the recovery rates obtained via LC-MS/MS. Our developed immunochromatographic assay can effectively, accurately, and rapidly determine AMT residues in oranges, tomatoes, and eggplants.

Cancer-oocyte SAS1B protein is expressed at the cell surface of multiple solid tumors and targeted with antibody-drug conjugates

BackgroundSperm acrosomal SLLP1 binding (SAS1B) protein is found in oocytes, which is necessary for sperm-oocyte interaction, and also in uterine and pancreatic cancers. Anti-SAS1B antibody-drug conjugates (ADCs) arrested growth in...

Correlating Surface Activity with Interface-Induced Aggregation in a High-Concentration mAb Solution.

Interface-induced aggregation resulting in protein particle formation is an issue during the manufacturing and storage of protein-based therapeutics. High-concentration formulations of therapeutic proteins are even more prone to protein particle formation due to increased protein-protein interactions. However, the dependence of interface-induced protein particle formation on bulk protein concentration is not understood. Furthermore, the formation of protein particles is often mitigated by the addition of polysorbate-based surfactants. However, the details of surfactant-protein interactions that prevent protein particle formation at high concentrations remain unclear. In this work, a tensiometer technique was used to evaluate the surface pressure of an industrially relevant mAb at different bulk concentrations, and in the absence and presence of a polysorbate-based surfactant, polysorbate 20 (PS20). The adsorption kinetics was correlated with subvisible protein particle formation at the air-water interface and in the bulk protein solution using a microflow imaging technique. Our results showed that, in the absence of any surfactant, the number of subvisible particles in the bulk protein solutions increased linearly with mAb concentration, while the number of protein particles measured at the interface showed a logarithmic dependence on bulk protein concentration. In the presence of surfactants above the critical micelle concentration (CMC), our results for low-concentration mAb solutions (10 mg/mL) showed an interface that is surfactant-dominated, and particle characterization results showed that the addition of the surfactant led to reduced particle formation. In contrast, for the highest concentration (170 mg/mL), coadsorption of proteins and surfactants was observed at the air-water interface, even for surfactant formulations above CMC and the surfactant did not mitigate subvisible particle formation. Our results taken together provide evidence that the ratio between the surfactant and mAb molecules is an important consideration when formulating high-concentration mAb therapeutics to prevent unwanted aggregation.

Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants.

Charge related heterogeneities of monoclonal antibody (mAb) based therapeutic products are increasingly being considered as a critical quality attribute (CQA). They are typically estimated using analytical cation exchange chromatography (CEX), which is time consuming and not suitable for real time control. Raman spectroscopy coupled with artificial intelligence (AI) tools offers an opportunity for real time monitoring and control of charge variants. We present a process analytical technology (PAT) tool for on-line and real-time charge variant determination during process scale CEX based on Raman spectroscopy employing machine learning techniques. Raman spectra are collected from a reference library of samples with distribution of acidic, main, and basic species from 0-100% in a mAb concentration range of 0-20g/L generated from process-scale CEX. The performance of different machine learning techniques for spectral processing is compared for predicting different charge variant species. A convolutional neural network (CNN) based model was successfully calibrated for quantification of acidic species, main species, basic species, and total protein concentration with R2 values of 0.94, 0.99, 0.96 and 0.99, respectively, and the Root Mean Squared Error (RMSE) of 0.1846, 0.1627, and 0.1029g/L, respectively, and 0.2483g/L for the total protein concentration. We demonstrate that Raman spectroscopy combined with AI-ML frameworks can deliver rapid and accurate determination of product related impurities. This approach can be used for real time CEX pooling decisions in mAb production processes, thus enabling consistent charge variant profiles to be achieved.

Taurine, a Naturally Occurring Amino Acid, as a Physical Stability Enhancer of Different Monoclonal Antibodies.

Degradation of therapeutic monoclonal antibodies (mAbs) is a major concern as it affects efficacy, shelf-life, and safety of the product. Taurine, a naturally occurring amino acid, is investigated in this study as a potential mAb stabilizer with an extensive analytical characterization to monitor product degradation. Forced degradation of trastuzumab biosimilar (mAb1)-containing samples by thermal stress for 30min resulted in high-molecular-weight species by more than 65% in sample without taurine compared to the sample with taurine. Samples containing mAb1 without taurine also resulted in higher Z-average diameter, altered protein structure, higher hydrophobicity, and lower melting temperature compared to samples with taurine. The stabilizing effect of taurine was retained at different mAb and taurine concentrations, time, temperatures, and buffers, and at the presence of polysorbate 80 (PS80). Even the lowest taurine concentration (10mM) considered in this study, which is in the range of taurine levels in amino acid injections, resulted in enhanced mAb stability. Taurine-containing samples resulted in 90% less hemolysis than samples containing PS80. Additionally, mAb in the presence of taurine showed enhanced stability upon subjecting to stress with light of 365nm wavelength, combination of light and H2O2, and combination of Fe2+ and H2O2, as samples containing mAb without taurine resulted in increased degradation products by more than 50% compared to samples with taurine upon subjecting to these stresses for 60min. In conclusion, the presence of taurine enhanced physical stability of mAb by preventing aggregate formation, and the industry can consider it as a new mAb stabilizer.

Abstract B030: ABC101-1, a novel microtubule inhibitor antibody-drug conjugate targeting HER2, has potent anti-tumor activity in a breast cancer model

Abstract Background: ABC101-1 is an antibody-drug conjugate (ADC) targeting receptor tyrosine-protein kinase erbB-2, also known as HER2. ABC101-1 consists of a humanized IgG1 monoclonal antibody called trastuzumab conjugated to a microtubulin inhibitor, DM1, through interchain cysteines with a drug-to-antibody ratio (DAR) of 8. Our novel non-cleavable linker platform using maleimide as a connector enabled the construction of homogeneous ABC101-1 with DAR of 8, via a straightforward process resulting in high conjugation yield. Employing non-cleavable linkers may ensure that the cytotoxic drug is delivered stably to tumor cells, enhancing the therapeutic efficacy of ADC. Herein, we describe anti-breast cancer activity through in vitro cytotoxicity and in vivo efficacy, pharmacokinetics, and binding affinity of ABC101-1. Methods: In vitro cytotoxicity of ADC and linker-payload was evaluated by measuring cell viability using Cell Count Kit-8 (CCK8) analysis. In vivo anti-tumor activity was investigated using SKBR3 cell line-derived xenograft (CDX) model. A pharmacokinetic (PK) profile was assessed by performing indirect ELISA to determine concentrations of total mAb in the serum. The binding affinity of ABC101-1 to HER2 protein was assessed using the indirect ELISA measuring the concentrations of total mAb. Results: In this study, ABC101-1 exhibited potent in vitro cytotoxicity with picomolar activity on HER2-positive breast cancer cell line. In the CDX breast cancer model, ABC101-1 led to stronger tumor growth inhibition in both early and late phases than ado-trastuzumab emtansine (DAR 3.5) at the same dose. Also, the favorable pharmacokinetic profile of ABC101-1 was observed, along with the preserved antigen-binding ability upon the conjugation to linker-payload. Conclusions: ABC101-1 displayed preclinical efficacy in in vitro and in vivo studies as well as a favorable PK, thereby suggesting its therapeutic potential as an anti-tumor drug in breast cancer therapy. This study would reveal that our novel linker platform is a promising and efficient strategy to develop effective and homogeneous ADCs with DAR 8. Our finding may support the further pre-clinical evaluation of ABC101-1. Citation Format: Seo Woo Kim, Hana Yu, Geon Ho Lee, Tae Gyu Lim, Minji Jeong, Hyeonjoo Hwang, Jee Eun Moon, Yong Beom Lee, Sung-Ha Jin, Jin Hyun Jeong. ABC101-1, a novel microtubule inhibitor antibody-drug conjugate targeting HER2, has potent anti-tumor activity in a breast cancer model [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr B030.

Explainable deep learning enhances robust and reliable real-time monitoring of a chromatographic protein A capture step.

The application of model-based real-time monitoring in biopharmaceutical production is a major step toward quality-by-design and the fundament for model predictive control. Data-driven models have proven to be a viable option to model bioprocesses. In the high stakes setting of biopharmaceutical manufacturing it is essential to ensure high model accuracy, robustness, and reliability. That is only possible when (i) the data used for modeling is of high quality and sufficient size, (ii) state-of-the-art modeling algorithms are employed, and (iii) the input-output mapping of the model has been characterized. In this study, we evaluate the accuracy of multiple data-driven models in predicting the monoclonal antibody (mAb) concentration, double stranded DNA concentration, host cell protein concentration, and high molecular weight impurity content during elution from a protein A chromatography capture step. The models achieved high-quality predictions with a normalized root mean squared error of <4% for the mAb concentration and of ≈10% for the other process variables. Furthermore, we demonstrate how permutation/occlusion-based methods can be used to gain an understanding of dependencies learned by one of the most complex data-driven models, convolutional neural network ensembles. We observed that the models generally exhibited dependencies on correlations that agreed with first principles knowledge, thereby bolstering confidence in model reliability. Finally, we present a workflow to assess the model behavior in case of systematic measurement errors that may result from sensor fouling or failure. This study represents a major step toward improved viability of data-driven models in biopharmaceutical manufacturing.