ArticleBiochemistry2017
Diffusion of Soluble Aggregates of THIOMABs and Bispecific Antibodies in Serum.
Article in Biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Submicrometer aggregates are frequently present at low levels in antibody-based therapeutics. Although intuition suggests that the fraction of the aggregate or the size of the aggregate present might correlate with deleterious clinical properties or formulation difficulties, it has been challenging to demonstrate which aggregate states, if any, trigger specific biological effects. One source of uncertainty about the putative linkage between aggregation and safety or efficacy lies in the likelihood that noncovalent aggregation differs in ideal buffers versus in serum and biological tissues; self-association or association with other proteins may vary widely with environment. Therefore, methods for monitoring aggregation and aggregate behavior in biologically relevant matrices could provide a tool for better predicting aggregate-dependent clinical outcomes and provide a basis for antibody engineering prior to clinical studies. Here, we generate models for soluble aggregates of THIOMABs and a bispecific antibody (bsAb) of defined size and exploit fluorescence correlation spectroscopy to monitor their diffusion properties in serum and viscosity-matched buffers. The monomers, dimers, and trimers of both THIOMABs and a bsAb reveal a modest increase in diffusion time in serum greater than expected for an increase in viscosity alone. A mixture of larger aggregates containing mostly bsAb pentamers exhibits a marked increase in diffusion time in serum and much greater intrasample variability, consistent with significant aggregation or interactions with serum components. The results indicate that small aggregates of several IgG platforms are not likely to aggregate with serum components, but nanometer-scale aggregates larger than trimers can interact with the serum in an Ab-dependent manner.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.