Evidence map›Paper›PMID 21437790›Full record

ArticlePharmaceutical research2011

Coupling of aggregation and immunogenicity in biotherapeutics: T- and B-cell immune epitopes may contain aggregation-prone regions.

Sandeep Kumar, Satish K Singh, Xiaoling Wang, Bonita Rup, Davinder Gill

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Assessing Immunogenicity of Biologic Drugs in Inflammatory Joint Diseases: Progress Towards Personalized Medicine.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2022
    Review
  5. Review
  6. Intrinsic physicochemical profile of marketed antibody-based biotherapeutics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Review
  8. Review
  9. Immunogenicity of Protein Pharmaceuticals.Journal of pharmaceutical sciences · 2019
    Review
  10. Article
  11. Article
  12. In Silico Methods in Antibody Design.Antibodies (Basel, Switzerland) · 2018
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

5 authors at 2 institutions in 1 country.

Sandeep KumarBiotherapeutics Pharmaceutical Sciences, Pfizer Inc., MC6S, 575 Maryville Centre Drive, St. Louis, Missouri 63141, USA. Sandeep.Kumar@Pfizer.com
Satish K Singh
Xiaoling Wang
Bonita Rup
Davinder Gill
Pfizer (United States) · USParkway School District · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotherapeutics, including recombinant or plasma-derived human proteins and antibody-based molecules, have emerged as an important class of pharmaceuticals. Aggregation and immunogenicity are among the major bottlenecks during discovery and development of biotherapeutics. Computational tools that can predict aggregation prone regions as well as T- and B-cell immune epitopes from protein sequence and structure have become available recently. Here, we describe a potential coupling between aggregation and immunogenicity: T-cell and B-cell immune epitopes in therapeutic proteins may contain aggregation-prone regions. The details of biological mechanisms behind this observation remain to be understood. However, our observation opens up an exciting potential for rational design of de-immunized novel, as well as follow on biotherapeutics with reduced aggregation propensity.

Indexed as

Drug DiscoveryAmino Acid SequenceAnimalsBiological ProductsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansModels, MolecularMolecular Sequence DataProteinsBiological ProductsEpitopes, B-LymphocyteEpitopes, T-LymphocyteProteins

Identifiers

PMID21437790
OpenAlexW2054738095

What OpenQuestion holds

Textmetadata
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.