Evidence map›Paper›PMID 38739906›Full record

ArticleMolecular pharmaceutics2024

A Structural Study on Absorption of Lysozyme in Amorphous Starch Microspheres.

Henrik Vinther So Rensen, Nedim Krcic, Ian George, Vitaly Kocherbitov

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

4 authors.

Henrik Vinther So RensenDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 20506, Sweden.
Nedim KrcicMagle Chemoswed AB, Agneslundsvägen 27, Malmö 21215, Sweden.
Ian GeorgeMagle Chemoswed AB, Agneslundsvägen 27, Malmö 21215, Sweden.
Vitaly KocherbitovDepartment of Biomedical Science, Faculty of Health and Society, Malmö University, Malmö 20506, Sweden.ORCID 0000-0002-9852-5440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential of using proteins as drugs is held back by their low stability in the human body and challenge of delivering them to the site of function. Extensive research is focused on drug delivery systems that can protect, carry, and release proteins in a controlled manner. Of high potential are cross-linked degradable starch microspheres (DSMs), as production of these is low-cost and environmentally friendly, and the products are degradable by the human body. Here, we demonstrate that DSMs can absorb the model protein lysozyme from an aqueous solution. At low amounts of lysozyme, its concentration in starch microspheres strongly exceeds the bulk concentration in water. However, at higher protein contents, the difference between concentrations in the two phases becomes small. This indicates that, at lower lysozyme contents, the absorption is driven by protein-starch interactions, which are counteracted by protein-protein electrostatic repulsion at high concentrations. By applying small-angle X-ray scattering (SAXS) to the DSM-lysozyme system, we show that lysozyme molecules are largely unaltered by the absorption in DSM. In the same process, the starch network is slightly perturbed, as demonstrated by a decrease in the characteristic chain to chain distance. The SAXS data modeling suggests an uneven distribution of the protein within the DSM particles, which can be dependent on the internal DSM structure and on the physical interactions between the components. The results presented here show that lysozyme can be incorporated into degradable starch microspheres without any dependence on electrostatic or specific interactions, suggesting that similar absorption would be possible for pharmaceutical proteins.

Indexed as

MicrospheresMuramidaseStarchX-Ray DiffractionDrug Delivery SystemsHumansScattering, Small AngleMuramidaseStarchdrug deliverylysozymesmall-angle X-ray scatteringstarch microspheres

Identifiers

PMID38739906
PMCPMC11220755

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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.