Anastomotic leak occurs independently from microbiota shifts associated with surgical bowel preparation

Sonja Boatman1, Mohammad Haneef Khan1, Nirupa Ganesan1

  • 1Basic and Translational Research, Department of Surgery, University of Minnesota, 420 Delaware Street SE, MCC 195, Minneapolis, MN, 55455, USA.

Scientific Reports
|September 17, 2024
PubMed

Insights

Bowel preparation methods did not reduce anastomotic leak rates after colon surgery in mice. Researchers identified specific bacteria linked to leaks, suggesting a potential diagnostic tool for surgical complications.

Area of Science:

  • Gastroenterology
  • Surgical Oncology
  • Microbiome Research

Background:

  • Infectious complications, such as anastomotic leak (AL), are significant risks following bowel surgery.
  • Current practices often assume gut decontamination via bowel preparation reduces post-surgical complications, but evidence is limited.

Purpose of the Study:

  • To investigate the efficacy of mechanical bowel preparation (MBP) and oral antibiotics (OA) in preventing AL after colon surgery.
  • To explore the impact of diet on surgical outcomes and AL development.
  • To identify microbial markers associated with AL.

Main Methods:

  • A murine model of colon surgery was utilized.
  • Mice were fed either regular chow or a Western diet.
  • Pre-surgical interventions included water (control), MBP, OA, or MBP + OA.

Main Results:

  • No significant differences in AL rates were observed among the intervention groups.
  • Diet did not demonstrably affect surgical outcomes or AL incidence.
  • While gut microbiome composition changed with treatments, specific effects on AL or related biomarkers (fecal short-chain fatty acids, colonic RNA) were not identified.
  • Specific bacterial genera were associated with AL, leading to the development of a predictive index from stool samples.

Conclusions:

  • Standard bowel preparation strategies (MBP, OA) did not prevent anastomotic leaks in this murine colon surgery model.
  • Dietary factors did not significantly influence AL rates.
  • A potential microbial-based predictive tool for AL was developed, warranting further validation and mechanistic investigation.

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