Evidence map›Paper›PMID 36186557›Full record

ArticleJACS Au2022

Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability.

Talia A Shmool, Laura K Martin, Richard P Matthews, Jason P Hallett

Abstract read
In one paragraph

Article in JACS Au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Unveiling the Rational Development of Stimuli-Responsive Silk Fibroin-Based Ionogel Formulations.Chemistry of materials : a publication of the American Chemical Society · 2023
    Article
  9. Review
  10. How can we discover developable antibody-based biotherapeutics?Frontiers in molecular biosciences · 2023
    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.

Talia A ShmoolDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.ORCID https://orcid.org/0000-0002-0415-3050
Laura K MartinDepartment of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, U.K.
Richard P MatthewsDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
Jason P HallettDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.ORCID https://orcid.org/0000-0003-3431-2371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel drug candidates are continuously being developed to combat the most life-threatening diseases; however, many promising protein therapeutics are dropped from the pipeline. During biological and industrial processes, protein therapeutics are exposed to various stresses such as fluctuations in temperature, solvent pH, and ionic strength. These can lead to enhanced protein aggregation propensity, one of the greatest challenges in drug development. Recently, ionic liquids (ILs), in particular, biocompatible choline chloride ([Cho]Cl)-based ILs, have been used to hinder stress-induced protein conformational changes. Herein, we develop an IL-based strategy to predict protein aggregation propensity and thermodynamic stability. We examine three key variables influencing protein misfolding: pH, ionic strength, and temperature. Using dynamic light scattering, zeta potential, and variable temperature circular dichroism measurements, we systematically evaluate the structural, thermal, and thermodynamic stability of fresh immunoglobin G4 (IgG4) antibody in water and 10, 30, and 50 wt % [Cho]Cl. Additionally, we conduct molecular dynamics simulations to examine IgG4 aggregation propensity in each system and the relative favorability of different [Cho]Cl-IgG4 packing interactions. We re-evaluate each system following 365 days of storage at 4 °C and demonstrate how to predict the thermodynamic properties and protein aggregation propensity over extended storage, even under stress conditions. We find that increasing [Cho]Cl concentration reduced IgG4 aggregation propensity both fresh and following 365 days of storage and demonstrate the potential of using our predictive IL-based strategy and formulations to radically increase protein stability and storage.

Identifiers

PMID36186557
PMCPMC9516703

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Registered trials

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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.