Integrons, a predictive biomarker for antibiotic resistance in acute sepsis: the IRIS study

Olivier Barraud1,2, Elie Guichard3, Delphine Chainier1

  • 1Université Limoges, INSERM, CHU Limoges, UMR 1092, Limoges, France.

Abstract

Insights

The absence of intI1 and intI2 genes in biological samples can predict the lack of antibiotic resistance in Gram-negative bacteria infections. This finding aids in narrowing antibiotic therapy for patients.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Clinical Diagnostics

Background:

  • Rising rates of multidrug-resistant Gram-negative bacteria (GNB) complicate empirical antibiotic selection.
  • Broad-spectrum antibiotic use must be minimized to reduce selection pressure.
  • Rapid diagnostic tools are crucial for optimizing antibiotic therapy in GNB infections.

Purpose of the Study:

  • To assess the negative and positive predictive values of intI1-3 genes as indicators of antibiotic resistance in GNB.
  • To validate intI1-3 as potential biomarkers for guiding antibiotic treatment decisions.

Main Methods:

  • Observational, cross-sectional, multicenter study (IRIS study) involving adult patients with suspected infections.
  • Real-time PCR used to detect intI1-3 genes directly from biological samples (blood, urine, intra-abdominal fluid).
  • Multidrug resistance (MDR) defined by resistance to at least two antibiotic classes in isolated GNB.

Main Results:

  • Over 2 years, 513 subjects were enrolled; 409 had GNB. Enterobacterales were predominant.
  • intI1 and/or intI2 genes detected in 31.8% of patients; 24.4% were MDR positive.
  • The Negative Predictive Value (NPV) of intI1/intI2 for acquired resistance was 92.8%. NPVs for first-line antibiotics exceeded 92%, with >96% for third-generation cephalosporin resistance.

Conclusions:

  • The absence of intI1 and intI2 genes in biological samples is a strong predictor of the absence of acquired antibiotic resistance in GNB infections.
  • intI1-3 detection shows promise as a rapid diagnostic marker to guide de-escalation of antibiotic therapy.