Evidence map›Paper›PMID 30915582›Full record

ArticleThe AAPS journal2019

Interfacial Stress in the Development of Biologics: Fundamental Understanding, Current Practice, and Future Perspective.

Jinjiang Li, Mary E Krause, Xiaodong Chen, Yuan Cheng, Weiguo Dai, John J Hill, Min Huang, Susan Jordan, Daniel LaCasse, Linda Narhi and 6 more

Abstract read
In one paragraph

Article in The AAPS journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jinjiang LiPharmaceutical Development, Wolfe Labs, 19 Presidential Way, Woburn, Massachusetts, 01801, USA. jinjiangli3@gmail.com.
Mary E KrauseDrug Product Science and Technology, Bristol-Myers Squibb Company, One Squibb Drive, New Brunswick, New Jersey, 08901, USA. mary.krause@bms.com.ORCID 0000-0002-3299-5423
Xiaodong ChenDrug Product Science and Technology, Bristol-Myers Squibb Company, One Squibb Drive, New Brunswick, New Jersey, 08901, USA.
Yuan ChengFormulation Development, Regeneron Pharmaceuticals, Inc., Tarrytown, New York, 10591, USA.
Weiguo DaiLarge Molecule Drug Product Development, Janssen Research & Development, LLC, Johnson and Johnson, Malvern, Pennsylvania, 19355, USA.
John J HillBioProcess Technology Consultants, Woburn, Massachusetts, 01801, USA.
Min HuangBiotherapeutics Pharmaceutical Sciences, Pfizer, Andover, Massachusetts, 01810, USA.
Susan JordanPharma Excipients, The Dow Chemical Company, Collegeville, Pennsylvania, 19426, USA.
Daniel LaCasseBiotherapeutics Pharmaceutical Sciences, Pfizer, Andover, Massachusetts, 01810, USA.
Linda NarhiProcess Development, Amgen, Inc., Thousand Oaks, California, 91362, USA.
Evgenyi ShalaevPharmaceutical Development, Allergan Inc., Irvine, California, 92612, USA.
Ian C ShiehLate Stage Pharmaceutical Development, Genentech, Inc., South San Francisco, California, 94080, USA.
Justin C ThomasBioproduct Research & Development, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
Raymond TuDepartment of Chemical Engineering, The City College of New York-CUNY, New York, New York, 10031, USA.
Songyan ZhengDrug Product Science and Technology, Bristol-Myers Squibb Company, One Squibb Drive, New Brunswick, New Jersey, 08901, USA.
Lily ZhuTechnical Operations, CRISPR Therapeutics, Cambridge, Massachusetts, 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologic products encounter various types of interfacial stress during development, manufacturing, and clinical administration. When proteins come in contact with vapor-liquid, solid-liquid, and liquid-liquid surfaces, these interfaces can significantly impact the protein drug product quality attributes, including formation of visible particles, subvisible particles, or soluble aggregates, or changes in target protein concentration due to adsorption of the molecule to various interfaces. Protein aggregation at interfaces is often accompanied by changes in conformation, as proteins modify their higher order structure in response to interfacial stresses such as hydrophobicity, charge, and mechanical stress. Formation of aggregates may elicit immunogenicity concerns; therefore, it is important to minimize opportunities for aggregation by performing a systematic evaluation of interfacial stress throughout the product development cycle and to develop appropriate mitigation strategies. The purpose of this white paper is to provide an understanding of protein interfacial stability, explore methods to understand interfacial behavior of proteins, then describe current industry approaches to address interfacial stability concerns. Specifically, we will discuss interfacial stresses to which proteins are exposed from drug substance manufacture through clinical administration, as well as the analytical techniques used to evaluate the resulting impact on the stability of the protein. A high-level mechanistic understanding of the relationship between interfacial stress and aggregation will be introduced, as well as some novel techniques for measuring and better understanding the interfacial behavior of proteins. Finally, some best practices in the evaluation and minimization of interfacial stress will be recommended.

Indexed as

Drug DevelopmentBiological ProductsChemistry, PharmaceuticalHumansHydrophobic and Hydrophilic InteractionsPhase TransitionProtein AggregatesProtein StabilitySurface PropertiesWaterBiological ProductsProtein AggregatesWateraggregationanalytical methodsbiotherapeuticinterfacial stressproduct developmentProtein

Identifiers

PMID30915582
PMCPMC6435788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.