Evidence map›Paper›PMID 40331061›Full record

ArticleMacromolecules2025

Design and Characterization of Thioester Networks with Adaptable and Enzymatically Degradable Cross-Links.

Shivani Desai, Gautam V Khare, Kristi S Anseth, Kelly M Schultz

Abstract read
In one paragraph

Article in Macromolecules, 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

4 authors.

Shivani DesaiDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
Gautam V KhareDavidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Kristi S AnsethDepartment of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, Colorado 80309, United States.ORCID https://orcid.org/0000-0002-5725-5691
Kelly M SchultzDavidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID https://orcid.org/0000-0001-9040-126X

Funding

Characterizing the feedback loop between cells and the pericellular region during cell-material interactionsR35GM147043 · NIGMS · PURDUE UNIVERSITY · PI Kelly M Schultz · 2022 to 2026
$2.0M
Understanding how MSCs controllably remodel their environmentR15GM119065 · NIGMS · LEHIGH UNIVERSITY · PI SCHULTZ, KELLY M · 2016 to 2019
$895k
NIGMS NIH HHS R15 GM119065NIGMS NIH HHS R35 GM147043
6 · The paper itself

Abstract

Viscoelastic properties of the extracellular matrix (ECM) impact cell processes including proliferation, spreading, and migration. During these basic cellular processes, cells remodel the ECM by secreting enzymes and applying cytoskeletal tension to the network. To design cell delivery platforms that mimic physical ECM properties, new designs incorporate viscoelasticity and moieties that enable cell-mediated network remodeling. In this work, we design and characterize networks with two different types of cross-links, covalent adaptable and enzymatically degradable. Our networks consist of 8-arm poly(ethylene glycol) (PEG)-thiol, PEG-thioester norbornene, and a norbornene functionalized matrix metalloproteinase (MMP)-degradable peptide, KKGPQG↓IWGQKK. We characterize three network compositions with a ratio of 1:1, 3:1, and 4:1 adaptable to MMP-degradable cross-links. We characterize network mechanical properties using bulk rheology. Using multiple particle tracking microrheology (MPT), we measure the evolving microstructure of the network during degradation. MPT measures Brownian motion of fluorescently labeled probe particles, which can be used to calculate rheological properties. Our results show that the elastic modulus increases with an increasing ratio of adaptable to MMP-degradable cross-links, and all networks have the same extent of stress relaxation. We then measure degradation of these networks by incubating in l-cysteine, which degrades only the adaptable cross-links by the thioester exchange reaction. We measure complete degradation of all three compositions using bulk rheology. Networks with 4:1 adaptable to MMP-degradable cross-links are the slowest to degrade and networks with 3:1 adaptable to MMP-degradable cross-links are the fastest to degrade. MPT measurements during degradation show networks with 1:1 and 4:1 adaptable to MMP-degradable cross-links rearrange multiple times before complete degradation. In networks with 3:1 adaptable to MMP-degradable cross-links, we measure fewer network rearrangements prior to degradation. Using time-cure superposition (TCS), we measure the network structure at the phase transition. Networks with 1:1 and 4:1 adaptable to MMP-degradable cross-links are elastic and tightly cross-linked and networks with 3:1 adaptable to MMP-degradable cross-links can range from elastic to open networks. The most open network structure, networks with 3:1 adaptable to MMP-degradable cross-links, degrade on the shortest time scale. We also measure ≥70% hMSC viability in each network after 3D encapsulation. In this work, we characterize different compositions of hybrid networks that incorporate both adaptable and enzymatically degradable cross-links. This work can enable design that specifies the mechanical properties and degradation behavior of the material to better mimic aspects of the native ECM.

Identifiers

PMID40331061
PMCPMC12052200

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LicenceCC BY-NC-ND
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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.