Evidence map›Paper›PMID 42610939›Full record

ArticleACS macro letters2026

Effects of Concentration, Cross-Linking, and Compression on Macromolecular Partitioning in Biological Hydrogels.

Dan Wang, Juan Pablo Arango Velasquez, Matthew J Gust, Rishi Dhayananth, Joseph Farroha, Daniel Lee, Nafi Bassoum, Caroline Calodney, Grace Castellano, John Castellano and 12 more

Abstract read
In one paragraph

Article in ACS macro letters, 2026. 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
–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

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

22 authors.

Dan WangThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Juan Pablo Arango VelasquezThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Matthew J GustThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Rishi DhayananthThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Joseph FarrohaThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Daniel LeeThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Nafi BassoumThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Caroline CalodneyThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Grace CastellanoThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
John CastellanoThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Saran DiakiteThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Sena GebreyesusThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Lucas KlingeleThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Mauricio Lahera-CastilloThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Patrick MegahanThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Hafsa MusaThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Katherine NeviaserThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Maxi OrtizThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Priya RangiThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.
Richard S NhoThe Ohio State University , Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Columbus, Ohio43201, United States.
Matthew A ReillyThe Ohio State University , Department of Biomedical Engineering, Columbus, Ohio43201, United States.ORCID 0000-0001-8029-0084
Nicholas FerrellThe Ohio State University Wexner Medical Center , Department of Internal Medicine, Division of Nephrology, Columbus, Ohio43201, United States.ORCID 0000-0002-0820-840X

Funding

Hypoxia-induced aberrant lactate generation and shuttling serves as a direct signal to promote pro-fibrotic fibroblast phenotypesR01HL171164 · NHLBI · OHIO STATE UNIVERSITY · PI Jeffrey C Horowitz, Richard S. Nho · 2025 to 2026
$1.5M
National Science Foundation (NSF) 2216394NHLBI NIH HHS R01 HL171164
6 · The paper itself

Abstract

Transport of macromolecules in biological hydrogels is important for understanding delivery, distribution, and movement of growth factors, cytokines, and peptide- or protein-based drugs within and between biological tissues. This is primarily mediated by basement membranes and extracellular matrixes that separate tissue compartments and structurally support the extracellular microenvironment. Changes in the extracellular matrix (ECM) architecture alter molecular transport and have implications for delivery of biologically active agents in both normal and pathological settings. Matrix density and cross-linking are altered in cancer, fibrotic diseases, and diabetes. Under physiological conditions, ECMs may be compressed to varying degrees under normal or pathological stresses. Here we used multiple biological hydrogels including agarose, collagen I, and Matrigel to understand the relative effects of concentration, cross-linking, and compression on nanoscale molecular transport. We hypothesized that increasing concentration, enzymatic cross-linking, and imparting gel compression would all result in reduced molecular partitioning into hydrogels due to reductions in gel porosity. We found that concentration and compression had significant impacts on molecular partitioning into hydrogels. Cross-linking with multiple enzymatic and chemical cross-linkers increased gel stiffness but had minimal impact on diffusion-based molecular transport. These results indicate that changes in matrix architecture due to increased concentration or reductions in porosity induced by mechanical compression, but not cross-linking, significantly alter macromolecular transport in biological hydrogels.

Indexed as

Cross-Linking ReagentsHydrogelsMacromolecular SubstancesAnimalsCollagenExtracellular MatrixLamininPorositySepharoseCollagenCross-Linking ReagentsHydrogelsLamininMacromolecular SubstancesSepharose

Identifiers

PMID42610939
PMCPMC13492384

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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.