Evidence map›Paper›PMID 34056544›Full record

ReviewAntibody therapeutics2021

Current trends and challenges in the downstream purification of bispecific antibodies.

Serene W Chen, Wei Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Antibody therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
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

38 citing papers in PubMed, 82 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Serene W ChenDownstream Processing Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore 138668, Singapore.
Wei ZhangDownstream Processing Group, Bioprocessing Technology Institute, Agency for Science, Technology and Research, Singapore 138668, Singapore.
Agency for Science, Technology and Research · SGBioprocessing Technology Institute · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bispecific antibodies (bsAbs) represent a highly promising class of biotherapeutic modality. The downstream processing of this class of antibodies is therefore of crucial importance in ensuring that these products can be obtained with high purity and yield. Due to the various fundamental structural similarities between bsAbs and monoclonal antibodies (mAbs), many of the current bsAb downstream purification methodologies are based on the established purification processes of mAbs, where affinity, charge, size, hydrophobicity and mixed-mode-based purification are frequently employed. Nevertheless, the downstream processing of bsAbs presents a unique set of challenges due to the presence of bsAb-specific byproducts, such as mispaired products, undesired fragments and higher levels of aggregates, that are otherwise absent or present in lower levels in mAb cell culture supernatants, thus often requiring the design of additional purification strategies in order to obtain products of high purity. Here, we outline the current major purification methods of bsAbs, highlighting the corresponding solutions that have been proposed to circumvent the unique challenges presented by this class of antibodies, including differential affinity chromatography, sequential affinity chromatography and the use of salt additives and pH gradients or multistep elutions in various modes of purification. Finally, a perspective towards future process development is offered.

Indexed as

bispecific antibodycapture chromatographydownstream purificationpolishing chromatographyproduct-related impurities

Identifiers

PMID34056544
PMCPMC8155696
OpenAlexW3161054864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.