Altered Gut Microbiota as an Auxiliary Diagnostic Indicator for Patients With Fracture-Related Infection

Xingqi Zhao1,2, Wenli Tang3, Haoyang Wan1,2

  • 1Division of Orthopaedics and Traumatology, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Insights

Specific gut microbiota profiles can help diagnose fracture-related infections (FRI) even without obvious symptoms. This study found distinct fecal microbiome patterns in FRI patients, suggesting its potential as an auxiliary diagnostic tool.

Area of Science:

  • Microbiome research
  • Infectious disease diagnostics
  • Orthopedic surgery

Background:

  • Preoperative diagnosis of fracture-related infection (FRI) is challenging, particularly in cases lacking clear clinical signs.
  • Previous research suggests that gut microbiota composition may serve as a potential biomarker for FRI.
  • Understanding the gut microbiome's role could lead to novel diagnostic approaches for FRI.

Purpose of the Study:

  • To compare the fecal microbiome composition across fracture-related infection (FRI) patients, fracture-healed (FH) patients, and healthy controls (HC).
  • To assess the diagnostic potential of gut microbiota diversity indices and constructed dysbiosis indexes for FRI.
  • To investigate the association between gut microbiota dysbiosis and systemic inflammatory factors in FRI patients.

Main Methods:

  • Fecal samples were collected from 20 FRI patients, 18 FH patients, and 12 HC individuals.
  • Alpha and beta diversity indices were analyzed to characterize fecal microbiome structure.
  • Linear discriminant analysis and generalized linear models were used to identify biomarkers and construct dysbiosis indexes.

Main Results:

  • Significant differences in alpha and beta diversity were observed among the three groups, with FRI patients exhibiting the lowest alpha diversity.
  • Dysbiosis indexes were significantly elevated in the FRI group compared to FH and HC groups (P < 0.001).
  • Receiver operating characteristic curve analysis confirmed the effectiveness of gut microbiota profiles in distinguishing between the groups, irrespective of overt infection signs.

Conclusions:

  • Gut microbiota dysbiosis is characteristic of FRI patients and is associated with systemic inflammation.
  • Fecal microbiome analysis, including diversity indices and dysbiosis indexes, can effectively differentiate FRI patients from controls.
  • Gut microbiota profiles represent a promising auxiliary diagnostic tool for suspected FRI, even in the absence of sinus tract or pus.

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