Evidence map›Paper›PMID 41069452›Full record

ArticleEngineering in life sciences2025

Hyaluronic Acid Matrices for In Situ Measurement of Protein Diffusion Coefficients.

Antonio C F Dos Santos, Riya Debbarma, Kayla Hinton, Mazin Hakim, Ronghua Andy Bei, Luis Solorio, Eduardo Ximenes, Shiven Kapur, Vince Corvari, Michael Ladisch

Abstract read
In one paragraph

Article in Engineering in life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Antonio C F Dos SantosLaboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana USA.
Riya DebbarmaLaboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana USA.
Kayla HintonLaboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana USA.
Mazin HakimWeldon School of Biomedical Engineering Purdue University West Lafayette Indiana USA.
Ronghua Andy BeiEli Lilly and Company Indianapolis Indiana USA.
Luis SolorioWeldon School of Biomedical Engineering Purdue University West Lafayette Indiana USA.
Eduardo XimenesLaboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana USA.
Shiven KapurEli Lilly and Company Indianapolis Indiana USA.
Vince CorvariEli Lilly and Company Indianapolis Indiana USA.
Michael LadischLaboratory of Renewable Resources Engineering Purdue University West Lafayette Indiana USA.ORCID https://orcid.org/0000-0001-9953-9599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro measurement of protein diffusion within matrices that simulate the subcutaneous (SQ) environment is of interest, given that protein-based therapeutics formulated for SQ injection comprise the largest class of biologics. To mimic the in vivo transport of a biologic from the SQ injection site through the extracellular matrix (ECM), in vitro diffusion assays typically utilize hyaluronic acid (HA) matrices, as it is the principal component of ECM. However, broad utility has been hampered by inherent lot-to-lot variability in commercially sourced HA, wherein key properties that impact protein diffusion (for example, molecular weight distribution and viscosity) differ across lots, even when nominal molecular weights are identical, making it challenging to compare results across matrices prepared from different HA lots. To address this gap, we report a facile approach wherein binary HA blends generated from individual HA matrices derived from distinct HA lots are functionally equivalent with respect to protein diffusion, that is, the diffusion of a representative set of proteins matches that in a previously reported single HA lot-derived matrix that served as a representative reference. Taken altogether, our protocols enable preparing blended HA matrices with consistent diffusion properties, enabling the use of in vitro assays that leverage this capability.

Indexed as

diffusion coefficientshyaluronic acidinjectable biologicsmonoclonal antibodysubcutaneous

Identifiers

PMID41069452
PMCPMC12504800

What OpenQuestion holds

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LicenceCC BY
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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.