Evidence map›Paper›PMID 35815437›Full record

ArticlemAbs

A versatile design platform for glycoengineering therapeutic antibodies.

Seth D Ludwig, Zachary J Bernstein, Christian Agatemor, Kris Dammen-Brower, Jeffrey Ruffolo, Jonah M Rosas, Jeremy D Post, Robert N Cole, Kevin J Yarema, Jamie B Spangler

Open access · goldAbstract read
In one paragraph

Article in mAbs. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Seth D LudwigDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Zachary J BernsteinDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christian AgatemorDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kris Dammen-BrowerDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jeffrey RuffoloProgram in Molecular Biophysics, the Johns Hopkins University, Baltimore, MD, USA.
Jonah M RosasDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jeremy D PostDepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Robert N ColeDepartment of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kevin J YaremaDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jamie B SpanglerDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-8187-3732
Johns Hopkins University · USBloomberg (United States) · US

Funding

Immunoengineered nanotechnology for targeted expansion of regulatory T cellsR01EB029455 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SPANGLER, JAMIE BERTA · 2020 to 2023
$1.7M
OPTIMIZING THE PRE-CLINICAL DEVELOPMENT OF IMMUNOTHERAPEUTIC ANTIBODIES THROUGH GLYCOENGINEERINGR21CA249381 · NCI · JOHNS HOPKINS UNIVERSITY · PI SPANGLER, JAMIE BERTA, YAREMA, KEVIN J · 2020 to 2021
$410k
NCI NIH HHS R21 CA249381NIBIB NIH HHS R01 EB029455
6 · The paper itself

Abstract

Manipulation of glycosylation patterns, i.e., glycoengineering, is incorporated in the therapeutic antibody development workflow to ensure clinical safety, and this approach has also been used to modulate the biological activities, functions, or pharmacological properties of antibody drugs. Whereas most existing glycoengineering strategies focus on the canonical glycans found in the constant domain of immunoglobulin G (IgG) antibodies, we report a new strategy to leverage the untapped potential of atypical glycosylation patterns in the variable domains, which naturally occur in 15% to 25% of IgG antibodies. Glycosylation sites were added to the antigen-binding regions of two functionally divergent, interleukin-2-binding monoclonal antibodies. We used computational tools to rationally install various N-glycosylation consensus sequences into the antibody variable domains, creating "glycovariants" of these molecules. Strikingly, almost all the glycovariants were successfully glycosylated at their newly installed N-glycan sites, without reduction of the antibody's native function. Importantly, certain glycovariants exhibited modified activities compared to the parent antibody, showing the potential of our glycoengineering strategy to modulate biological function of antibodies involved in multi-component receptor systems. Finally, when coupled with a high-flux sialic acid precursor, a glycovariant with two installed glycosylation sites demonstrated superior in vivo half-life. Collectively, these findings validate a versatile glycoengineering strategy that introduces atypical glycosylation into therapeutic antibodies in order to improve their efficacy and, in certain instances, modulate their activity early in the drug development process.

Indexed as

Antibodies, MonoclonalImmunoglobulin GGlycosylationPolysaccharidesAntibodies, MonoclonalImmunoglobulin GPolysaccharidesglycosylationimmunotherapyinterleukin-2ManNAc analogmetabolic glycoengineeringProtein glycoengineeringsialylationtherapeutics

Identifiers

PMID35815437
PMCPMC9272841
OpenAlexW4284973890

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.