Evidence map›Paper›PMID 41203833›Full record

ArticleScientific reports2025

Development of a wireless bioelectronic actuator for wound healing in a porcine model.

Prabhat Baniya, Maryam Tebyani, Wan Shen Hee, Houpu Li, Narges Asefifeyzabadi, Kaelan Schorger, Hsin-Ya Yang, Anthony Gallegos, Kan Zhu, Fan Lu and 13 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

23 authors.

Prabhat BaniyaDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA. pbaniya@ucsc.edu.
Maryam TebyaniDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Wan Shen HeeDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Houpu LiDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Narges AsefifeyzabadiDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Kaelan SchorgerDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Hsin-Ya YangDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Anthony GallegosDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Kan ZhuDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Fan LuDepartment of Applied Mathematics, University of California Santa Cruz, Santa Cruz, 95064, USA.
Gordon KellerDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Celeste FrancoDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Koushik DevarajanDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Alexie BarbeeDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Cristian HernandezDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Tiffany NguyenDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Cynthia RecendezDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Elham AslankoohiDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA.
Roslyn Rivkah IsseroffDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Min ZhaoDepartment of Dermatology, School of Medicine, University of California Davis, Sacramento, 95816, USA.
Marcella GomezDepartment of Applied Mathematics, University of California Santa Cruz, Santa Cruz, 95064, USA.
Marco RolandiDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA. mrolandi@ucsc.edu.
Mircea TeodorescuDepartment of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, 95064, USA. mteodore@ucsc.edu.

Funding

Defense Advanced Research Projects Agency D20AC00003
6 · The paper itself

Abstract

Wireless bioelectronic actuators have been developed to deliver targeted treatments over multiple days while continuously monitoring delivery, thereby improving wound healing. Specifically, these devices can deliver charged biomolecules such as fluoxetine cations (Flx[Formula: see text]) and electric field (EF) in freely moving pigs. Treatments can be controlled and monitored in real time via WiFi, with options for both user-specified delivery rates and durations, as well as automated closed-loop (CL) control. The devices are engineered to handle various failure scenarios that may arise in dynamic, real-world experiments-such as communication or power interruptions-ensuring that valuable experimental data is collected with minimal disruption. The ion pump features eight drug reservoirs and channels arranged around a 20 mm diameter-wound, with a central ground electrode (0 V). When voltages above 0 V are applied to the outer channels, currents flow from the reservoirs and channels into the wound, delivering Flx[Formula: see text] and/or EF depending on the reservoir solution. The device records applied voltages and currents locally to a microSD card at a high sampling rate, while simultaneously transmitting real-time measurements via a local WiFi network to a wound healing algorithm running on a nearby laptop. CL control of current/delivery rate is performed by an onboard microcontroller unit (MCU) and current-source microchips, based on instructions received from the wound healing algorithm. A graphical user interface (GUI) provides intuitive user control and real-time data visualization, with support for multiple devices. In vivo studies over seven days showed that Flx[Formula: see text]-treated wounds had a trend toward lower M1/M2 macrophage ratio and greater re-epithelialization compared to controls (standard-of-care), demonstrating the actuator's potential to enhance wound healing.

Indexed as

Wireless TechnologyWound HealingAnimalsDisease Models, AnimalEquipment DesignSwine

Identifiers

PMID41203833
PMCPMC12594822

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.