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1.
Int J Pharm ; 648: 123600, 2023 Dec 15.
Article in English | MEDLINE | ID: mdl-37967687

ABSTRACT

Multidose formulations have patient-centric advantages over single-dose formats. A major challenge in developing multidose formulations is the prevention of microbial growth that can potentially be introduced during multiple drawings. The incorporation of antimicrobial preservatives (APs) is a common approach to inhibit this microbial growth. Selection of the right preservative while maintaining drug product stability is often challenging. We explored the effects of three APs, 1.1 % (w/v) benzyl alcohol, 0.62 % (w/v) phenol, and 0.42 % (w/v) m-cresol, on a model immunoglobulin G1 monoclonal antibody, termed the "NIST mAb." As measured by hydrogen exchange-mass spectrometry (HX-MS) and differential scanning calorimetry, conformational stability was decreased in the presence of APs. Specifically, flexibility (faster HX) was significantly increased in the CH2 domain (HC 238-255) across all APs. The addition of phenol caused the greatest conformational destabilization, followed by m-cresol and benzyl alcohol. Storage stability studies conducted by subvisible particle (SVP) analysis at 40 °C over 4 weeks further revealed an increase in SVPs in the presence of phenol and m-cresol but not in the presence of benzyl alcohol. However, as monitored by size exclusion chromatography, there was neither a significant change in the monomeric content nor an accumulation of soluble aggregate in the presence of APs.


Subject(s)
Anti-Infective Agents , Antibodies, Monoclonal , Humans , Antibodies, Monoclonal/chemistry , Preservatives, Pharmaceutical , Cresols/chemistry , Phenol/chemistry , Anti-Infective Agents/chemistry , Benzyl Alcohols
2.
J Pharm Sci ; 111(6): 1605-1613, 2022 06.
Article in English | MEDLINE | ID: mdl-35318031

ABSTRACT

High-throughput analysis of low-volume samples for detection of subvisible particles (SVPs) in biologic formulations remains an unmet need in the pharmaceutical industry. Some commonly used methods, such as light obscuration and microflow imaging, for SVP analysis are not high throughput and require significant amounts of sample volume, which may impede the collection of SVP data when therapeutic protein amounts are limited, typically during early stages of formulation development. We evaluated backgrounded membrane imaging (BMI) as an orthogonal method for SVP analysis and identified critical experimental parameters. Protein concentration, sample viscosity, and membrane coverage area had to be adjusted for each sample, especially those with high protein concentrations. A comparative analysis of particle counts obtained from BMI, light obscuration, and microflow imaging for five protein samples revealed that particle counts obtained with BMI were significantly higher than those acquired with the other two techniques for all particle size categories. BMI could not accurately count particles in protein-containing samples, as the image analysis software could not accurately trace the boundaries of translucent particles. Based on our results, BMI could be used as an orthogonal method for particle characterization when sample material is limited, such as during the early stages of formulation development or screening.


Subject(s)
Image Processing, Computer-Assisted , Proteins , Particle Size , Software
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