Mixed-Layered Glycodendrimer Probe for Imaging Inflammation at Surgical Site Infections

Anubhav Dhull1, Ki Wan Park2, Aqib Iqbal Dar1

  • 1Department of Chemistry, College of Arts and Sciences, Washington State University, Troy Hall, Rm 222, 1470 E. College Avenue, Pullman, Washington 99164, United States.

ACS Sensors
|February 28, 2025
PubMed

Insights

This study introduces a novel dual-fluorescent probe method for real-time differentiation between surgical site infections (SSIs) and inflammation. This technique aids surgeons in accurately identifying and debriding infected tissues, improving patient outcomes.

Area of Science:

  • Biomedical Engineering
  • Surgical Innovation
  • Diagnostic Imaging

Background:

  • Surgical site infections (SSIs) are a leading cause of hospital readmissions.
  • Accurate differentiation between inflammation and early infection post-surgery is clinically challenging.
  • Current methods for intraoperative debridement rely on surgeon experience, risking diagnostic errors.

Purpose of the Study:

  • To evaluate the simultaneous use of two fluorescent probes for distinguishing SSIs from inflammation.
  • To develop a multiplexed short-wave infrared (SWIR) imaging technique for real-time delineation.
  • To assess the probes' efficacy in vitro and in vivo for targeted surgical debridement.

Main Methods:

  • Synthesis of maltotriose-indocyanine-green (ICG-DBCO-maltotriose) and 2-deoxyglucose dendrimer (2DG-D) labeled with cyanine 5 (2DG-D-Cy5).
  • In vitro evaluation using cell-bacteria coculture models.
  • In vivo assessment in a murine implant SSI model utilizing multiplexed SWIR imaging.

Main Results:

  • 2DG-D-Cy5 specifically labeled macrophages associated with inflammation in vitro.
  • Multiplexed SWIR imaging successfully differentiated infection from inflammation in real time in vivo.
  • The dual-probe system enabled precise identification of infected areas for targeted debridement.

Conclusions:

  • Simultaneous use of ICG-DBCO-maltotriose and 2DG-D-Cy5 probes allows real-time differentiation of SSIs and inflammation.
  • This approach enhances diagnostic confidence and supports targeted surgical intervention.
  • The developed technique holds potential for improving surgical outcomes and monitoring therapeutic responses.

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