Structured content and data management-enhancing acceleration in drug development through efficiency in data exchange.

Innovation in pharmaceutical therapeutics is critical for the treatment of serious diseases with unmet medical need. To accelerate the approval of these innovative treatments, regulatory agencies throughout the world are increasingly adopting the use of expedited pathways and collaborative regulatory reviews. These pathways are primarily driven by promising clinical results but become challenging for Chemistry, Manufacturing, and Controls (CMC) information in regulatory submissions. Condensed and shifting timelines present constraints that require new approaches to the management of regulatory filings. This article emphasizes technological advances that have the potential to tackle the underlying inefficiencies in the regulatory filing eco-system. Structured content and data management (SCDM) is highlighted as a foundation for technologies that can ease the burden on both sponsors and regulators by streamlining data usage in regulatory submissions. Re-mapping of information technology infrastructure will improve the usability of data by moving away from document-based filings towards electronic data libraries. Although the inefficiencies of the current regulatory filing eco-system are more evident for products that are filed using expedited pathways, it is envisioned that the more widespread adoption of SCDM, across standard filing and review processes, will improve overall efficiency and speed in the compilation and review of regulatory submissions.

The Future of CMC Regulatory Submissions: Streamlining Activities Using Structured Content and Data Management.

Recent advancements in data engineering, data science, and secure cloud storage can transform the current state of global Chemistry, Manufacturing, and Controls (CMC) regulatory activities to automated online digital processes. Modernizing regulatory activities will facilitate simultaneous global submissions and concurrent collaborative reviews, significantly reducing global licensing timelines and variability in globally registered product details. This article describes advancements made within the pharmaceutical industry from theoretical concepts to utilization of structured content and data in CMC submissions. The term Structured Content and Data Management (SCDM) outlines the end-to-end scientific data lifecycle from capture in source systems, aggregation into a consolidated repository, and transformation into semantically structured blocks with metadata defining relationships between scientific data and business contexts. Automation of regulatory authoring (termed Structured Content Authoring) is feasible because SCDM makes data both human and machine readable. It will offer health authorities access to the digital data beyond the current standard of PDF documents and, for a review process, SCDM would "enrich the effectiveness, efficiency, and consistency of regulatory quality oversight" (Yu et al., 2019). SCDM is a novel solution for content and data management in regulatory submissions and can enable faster access to critical therapies worldwide.

Degradation products analysis of an Fc fusion protein using LC/MS methods.

The following analytical methods have been used to identify and quantify degradation products in an E. coli expressed human immunoglobulin G Fc fusion protein in both liquid and lyophilized forms: two-dimensional AEX/RP/MS, limited proteolysis followed by LC/MS, and tryptic digestion followed by LC/MS/MS. After aging in a potassium phosphate pH 7.0 buffer for 3 months at 29 degrees C, peptide map analysis revealed that asparagine N78 (N297 according to Edelman sequencing) of the CH2 domain was the most rapidly deamidated site in the molecule probably due to the lack of the N-linked glycan on this asparagine, but this deamidation can be prevented under properly formulated conditions. This is the first report on the rate of deamidation on N297 of an IgG molecule without glycosylation. The active protein portion of the Fc fusion protein contains two methionine residues that are potentially susceptible to oxidation. Limited proteolysis was employed to cleave the active protein portion and measure the amount of oxidation. LC/MS analysis identified that the liquid sample aged at 29 degrees C for 3 months produced 40% oxidation, while the control sample contained only 4% oxidation on the active protein. In contrast to the aged liquid sample, the aged lyophilized sample showed no increase of deamidation or oxidation after storage at 37 degrees C for 8 months.

Characterization of IgG1 immunoglobulins and peptide-Fc fusion proteins by limited proteolysis in conjunction with LC-MS.

A combinatory approach for the characterization of post-translational and chemical modifications in high molecular weight therapeutic proteins like antibodies and peptide-Fc fusion proteins (MW > or = 50 000 Da) is presented. In this approach, well-established techniques such as limited proteolysis, reversed-phase (RP) high-performance liquid chromatography (HPLC), and in-line mass spectrometry (MS) were combined for the characterization of a monoclonal IgG1 antibody and three different peptide-Fc fusion proteins. The one commonality of these molecules is the presence of a similarly accessible lysine residue either located in the flexible hinge region of the antibody or in the flexible linker of the peptide-Fc fusion proteins. Applying limited proteolysis using endoproteinase Lys-C resulted in the predominant cleavage C-terminal of this lysine residue. The created fragments, two identical Fab domain fragments and one Fc domain fragment derived from the IgG1 antibody and one Fc domain fragment and each of the three individual peptide moieties generated from the peptide-Fc fusion proteins, were readily accessible for complete separation by RP-HPLC and detailed characterization by in-line MS analysis. This approach facilitated rapid detection of a variety of chemical modifications such as methionine oxidation, disulfide bond scrambling, and reduction as well as the characterization of various carbohydrate chains. We found limited proteolysis followed by RP-HPLC-MS to be less time-consuming for sample preparation, analysis, and data interpretation than traditional peptide mapping procedures. At the same time, the reduced sample complexity provided superior chromatographic and mass spectral resolution than the analysis of the corresponding intact molecules or a large number of enzymatically generated fragments.