Commercial Deployment of Integrated PAT Technologies to Enable Continuous Upstream Production of Glycosylated Monoclonal Antibodies

This project will develop and validate integrated online sampling process analytical technology (PAT) workflows to rapidly monitor biological drug critical quality attributes (CQAs).
Categories
Proteins/ Antibodies
Process control
Data

Industry Need

Conventional biologics manufacturing facilities are typically constructed with a fixed capacity and emphasis on batch operations to produce a single drug product. Strict regulatory requirements pertaining to the production of pharmaceuticals is one of the challenges facing modernization of bioprocessing facilities and adoption of Quality-by-Design (QbD) manufacturing practices. Furthermore, the industry is faced with restructuring its facilities to quickly respond to market forces while continuing to manufacture medications that also meet high quality safety and efficacy criteria. One of the technological solutions available to the biopharmaceutical industry is adoption of continuous biomanufacturing (CbM) alongside integrated process analytics. However, adoption of CbM by industry has moved along slowly. The primary reasons are scarcity of analytics for forecasting bioprocesses, challenges with integrating different unit operations, and issues with product quality control that don't adhere to regulations. It is also difficult, time-consuming, and labor-intensive to implement QbD to comprehend how complex process inputs affect drug critical quality attributes (CQAs). As a result, validation and deployment of integrated process analytical technology (PAT) tools is crucial for enabling in-process controls during CbM processes.


Protein glycosylation is a crucial CQA that must be managed during the upstream mAb synthesis process since it has been shown to affect in vivo drug efficacy. Nearly all significant CQAs, including glycosylation, can be monitored using offline ultra-high-performance liquid chromatography (U/HPLC) based separations in conjunction with UV absorbance, fluorescence, or mass spectrometry (MS) based detectors. Furthermore, there is strong interest to develop complementary in-line Raman spectroscopy-based PAT, calibrated using LC based approaches, for deployment in actual CbM mAb production campaigns. Therefore, in order to facilitate CbM, our team has collaborated with multiple industry partners to establish a fully integrated online PAT system for autonomous mAb CQA analysis. our recent work has shown that it is possible to convert conventional offline techniques with extensive sample preparation (e.g., mAb N-glycosylation analysis) into an automated online PAT platform called the NGLYcanyzer. However, there is a need for further development of this work.

Approach

The team will continue development of similar PAT automation approaches for integrated sampling from continuous upstream bench scale to production-scale bioprocesses followed by automated N-glycosylation analysis (among several other CQA) in near real-time. Antibody glycosylation and titer are representative CQAs, alongside several cell culture metabolites (e.g., amino acids), that will be monitored concurrently using an upgraded NGLYcanyzer protocol, and the workflow will be extended to enable its application in diverse process development modalities spanning from 2 mL microscale perfusion to 2 kL larger-scale standard fed-batch and perfusion bioreactor setups. Further, the team intends to generate robust Raman spectroscopy-based chemometric models, for prediction of mAb glycoforms (and other CHO cell culture metabolites), that will be integrated in-line to our PAT workflows. This would enable automated online analysis of multiple CQA to be performed continuously during cell culture, leading to a massive increase in process knowledge.

Impacts

Robust integration of Agilent’s online LC multisampler with advanced TOF/MS & Endress’s Raman sensing technologies with N-GLYcanyzer sampler unit to allow complementary CQA analysis of bioprocess samples from upstream processes

Integration of N-GLYcanyzer sampler workflow with 2mL Breez microperfusion system to enable automated CQA analysis for rapid bioprocess development

Validation of N-GLYcanyzer workflow for direct sampling 2L fed-batch and perfusion processes, and integrated sample analysis using online LC/Raman based PAT to monitor multiple CQAs (e.g., glycosylation, titer, charge states)

Explore pros/cons of distinct online PAT modalities (LC-Fluorescence vs. LC-MS vs. Raman Spectroscopy) to monitor critical mAb CQA like glycosylation

Stress testing of integrated PAT workflows in collaboration with Pfizer & CDMO partner for deployment at continuous biologics manufacturing facilities

Value Statement/Outcomes

This project integrated an end‑to‑end PAT automation suite that improves real‑time CQA monitoring for both drug companies and suppliers, resulting in quality benefits across continuous upstream bioprocessing.

Outputs/Deliverables

Integration of upgraded N-GLYcanyzer workflow and validation with mAb producing Enzene cell line on fed-batch reactor. ​

Upgrading N-GLYcanyzer workflow using advanced Flex Cube LC based PAT tools & demonstrate updated workflow.

N-GLYcanyzer workflow integration with Millipore’s microperfusion reactor and demonstrate PAT feasibility using CHO cell lines producing mAb.

Tech transfer and integration of upgraded N-GLYcanyzer workflow and validation using a perfusion reactor with Enzene mab cell line.

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Project Lead

Rutgers, The State University of New Jersey

Rutgers, The State University of New Jersey

Participating Organizations

Agilent

Agilent

EMD Millipore Corporation

EMD Millipore Corporation

Endress + Hauser Optical Analysis

Endress + Hauser Optical Analysis

Enzene Biosciences Limited

Enzene Biosciences Limited

Pfizer, Inc.

Pfizer, Inc.