Evidence map›Paper›PMID 35447715›Full record

ReviewBioengineering (Basel, Switzerland)2022

Process- and Product-Related Foulants in Virus Filtration.

Solomon Isu, Xianghong Qian, Andrew L Zydney, S Ranil Wickramasinghe

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Solomon IsuRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0002-8106-1467
Xianghong QianDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
Andrew L ZydneyDepartment of Chemical Engineering, Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-1865-9156
S Ranil WickramasingheRalph E. Martin Department of Chemical Engineering, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0001-7436-0517

Funding

National Science Foundation IIP 1361809 and IIP 1822101
6 · The paper itself

Abstract

Regulatory authorities place stringent guidelines on the removal of contaminants during the manufacture of biopharmaceutical products. Monoclonal antibodies, Fc-fusion proteins, and other mammalian cell-derived biotherapeutics are heterogeneous molecules that are validated based on the production process and not on molecular homogeneity. Validation of clearance of potential contamination by viruses is a major challenge during the downstream purification of these therapeutics. Virus filtration is a single-use, size-based separation process in which the contaminating virus particles are retained while the therapeutic molecules pass through the membrane pores. Virus filtration is routinely used as part of the overall virus clearance strategy. Compromised performance of virus filters due to membrane fouling, low throughput and reduced viral clearance, is of considerable industrial significance and is frequently a major challenge. This review shows how components generated during cell culture, contaminants, and product variants can affect virus filtration of mammalian cell-derived biologics. Cell culture-derived foulants include host cell proteins, proteases, and endotoxins. We also provide mitigation measures for each potential foulant.

Indexed as

aggregationcharge variantdownstream processingfoulantfusion proteinglycoformmonoclonal antibodyprefiltrationprocess developmentvirus filtration

Identifiers

PMID35447715
PMCPMC9030149

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.