Evidence map›Paper›PMID 42051757›Full record

ArticleAdvanced materials technologies2025

Design of Soft, Stretchable Bladder-Integrated Scaffolds for Advanced Bioelectronic Implants.

Yifan Wang, Ali Garmroudi, Chang Liu, Philippe Zimmern, Zhengwei Li

Abstract read
In one paragraph

Article in Advanced materials technologies, 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. Review
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

5 authors.

Yifan WangDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
Ali GarmroudiDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
Chang LiuDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA.
Philippe ZimmernDepartment of Urology, The University of Texas Southwestern, Dallas, TX 75390, USA.
Zhengwei LiDepartment of Biomedical Engineering, University of Houston, Houston, TX 77204, USA; Department of Biomedical Sciences, The Tilman J. Fertitta Family College of Medicine, University of Houston, Houston, TX 77021, USA; Institute of Muscle Biology and Cachexia, University of Houston, Houston, TX 77204, USA.

Funding

Wireless, Closed?loop System to Restore Urological Dysfunction after Spinal Cord InjuryR21EB037317 · NIBIB · UNIVERSITY OF HOUSTON · PI Zhengwei Li · 2025 to 2026
$398k
NIBIB NIH HHS R21 EB037317
6 · The paper itself

Abstract

Neurogenic bladder is a challenging condition caused by neurological disorders, such as spinal cord injury (SCI), leading to impaired bladder function. Bladder-integrated implants are critically needed for restoring function, managing incontinence, or continuous bladder health monitoring. However, developing such neurotechnology remains challenging due to the bladder's large and dynamic volume changes (≈300%), which often cause mechanical incompatibility, tissue irritation, and limited long-term efficacy. In this work, it is designed and evaluate highly stretchable, biocompatible, and bladder-integrated implantable scaffolds that seamlessly conform to bladder expansion and contraction with negligible physiological impact using a biomimetic in vitro bladder model. This findings show that cross-shaped scaffolds provide superior stretch-ability with negligible effect on bladder compliance. Compared to the control (no implants), these scaffolds exhibit minimum effect on bladder deformation even under 300% volume expansion. Long-term mechanical tests confirm their positional stability, while cytocompatibility studies show high biocompatibility (>99.5% cell viability), highlighting their potential usage for chronic implantation in urological applications. This work provides important insights into the development of advanced bladder-integrated, highly stretchable bioelectronic implants for real-time monitoring and neuromodulation of bladder dysfunction. The proposed novel engineering design and innovative approach lay a solid foundation for next-generation bladder rehabilitation technologies.

Indexed as

advanced urotechnologybioelectronic implantsengineering designflexible electronicsneurogenic bladdersoft materials

Identifiers

PMID42051757
PMCPMC13120774

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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.