Evidence map›Paper›PMID 41761773›Full record

ArticleAdvanced healthcare materials2026

Wound Geometry Determines Whether Aligned-Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis.

Yin-Yuan Huang, Xiangjun Peng, Yuxuan Huang, Kunkoo Kim, Chengli Li, Peilun Hu, Sean J Wang, Rohan Avula, Chun-Yi Yang, Pengchao Ma and 4 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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

14 authors.

Yin-Yuan HuangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0001-1865-5342
Xiangjun PengNSF Science and Technology Center for Engineering Mechanobiology, Washington University in St. Louis, St. Louis, USA.
Yuxuan HuangNSF Science and Technology Center for Engineering Mechanobiology, Washington University in St. Louis, St. Louis, USA.
Kunkoo KimState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Chengli LiState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Peilun HuState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Sean J WangDepartment of Chemistry, Washington University in St. Louis, St. Louis, USA.
Rohan AvulaDepartment of Biology, Washington University in St. Louis, St. Louis, USA.
Chun-Yi YangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Pengchao MaState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.
Shuhui YangSchool of Materials Science and Engineering, Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering Zhejiang Sci-Tech University, Hangzhou, China.
Shumeng JiangDepartment of Mechanical Engineering, Washington University in St. Louis, St. Louis, USA.
Guy M GeninNSF Science and Technology Center for Engineering Mechanobiology, Washington University in St. Louis, St. Louis, USA.ORCID https://orcid.org/0000-0003-3612-4729
Xiumei WangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials, School of Materials Science and Engineering, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-5303-0217

Funding

Beijing Natural Science Foundation of China L234075Human Frontier Science Program HFSP - RGP016/2024Municipal Key R&D Program of Ningbo 2022Z146National Natural Science Foundation of China 12402364National Natural Science Foundation of China 32271414National Natural Science Foundation of China 32401140
6 · The paper itself

Abstract

Aligned-fiber scaffolds for wound healing show inconsistent clinical outcomes, sometimes dramatically accelerating wound healing, other times providing no benefit or even impeding closure. This unpredictability has prevented widespread adoption despite compelling biological rationale. We resolved this by demonstrating that healing outcomes depend on geometric relationships between wound shape and fiber orientation, not material properties alone. Using a biased random-walk model calibrated to streptozotocin-induced diabetic rat wound data, recapitulating the migration-limited healing characteristic of chronic diabetic wounds, we show that identical scaffolds can either accelerate healing or provide no benefit depending solely on orientation relative to wound geometry. Cells migrate 50% faster along fibers, but are impeded perpendicular to them, creating a trade-off that depends on wound shape. Model predictions across diverse geometries generate an optimal healing landscape, with elongated wounds showing 30% variation in closure rates depending on alignment angle. Results explain conflicting literature reports in the context of diabetic wound repair and provide a proof-of-concept framework for the rational selection of scaffold architecture in this specific setting.

Indexed as

Diabetes Mellitus, ExperimentalTissue ScaffoldsWound HealingAnimalsCell MovementMaleRatsRats, Sprague-DawleyAnisotropycell migrationIn Vivo ModelsMechanobiologywound healing

Identifiers

PMID41761773
PMCPMC13176543

What OpenQuestion holds

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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.