A wireless, implantable bioelectronic system for monitoring urinary bladder function following surgical recovery

  • Jihye Kim
  • , Matthew I. Bury
  • , Kyeongha Kwon
  • , Jae Young Yoo
  • , Nadia V. Halstead
  • , Hee Sup Shin
  • , Shupeng Li
  • , Sang Min Won
  • , Min Ho Seo
  • , Yunyun Wu
  • , Do Yun Park
  • , Mitali Kini
  • , Jean Won Kwak
  • , Surabhi R. Madhvapathy
  • , Joanna L. Ciatti
  • , Jae Hee Lee
  • , Suyeon Kim
  • , Hanjun Ryu
  • , Kento Yamagishi
  • , Hong Joon Yoon
  • Sung Soo Kwak, Bosung Kim, Yonggang Huang, Lisa C. Halliday, Earl Y. Cheng, Arun K. Sharma, Guillermo A. Ameer, John A. Rogers

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Partial cystectomy procedures for urinary bladder-related dysfunction involve long recovery periods, during which urodynamic studies (UDS) intermittently assess lower urinary tract function. However, UDS are not patient-friendly, they exhibit user-to-user variability, and they amount to snapshots in time, limiting the ability to collect continuous, longitudinal data. These procedures also pose the risk of catheter-associated urinary tract infections, which can progress to ascending pyelonephritis due to prolonged lower tract manipulation in high-risk patients. Here, we introduce a fully bladder-implantable platform that allows for continuous, real-time measurements of changes in mechanical strain associated with bladder filling and emptying via wireless telemetry, including a wireless bioresorbable strain gauge validated in a benchtop partial cystectomy model. We demonstrate that this system can reproducibly measure real-time changes in a rodent model up to 30 d postimplantation with minimal foreign body response. Studies in a nonhuman primate partial cystectomy model demonstrate concordance of pressure measurements up to 8 wk compared with traditional UDS. These results suggest that our system can be used as a suitable alternative to UDS for long-term postoperative bladder recovery monitoring.

Original languageEnglish
Article numbere2400868121
JournalProceedings of the National Academy of Sciences of the United States of America
Volume121
Issue number14
DOIs
StatePublished - 2 Apr 2024

Keywords

  • bioelectronics
  • bladder
  • regeneration
  • sensing
  • wireless

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