A multiple protocol to improve diagnosis and isolation of Shiga toxin-producing Escherichia coli from human stool

Daniel R Shelton1, Jeffrey S Karns, Choong H Park

  • 1Environmental Microbial Safety Laboratory, U.S. Department of Agriculture, Animal and Natural Resources Institute, Agricultural Research Service, Beltsville, MD, USA. dan.shelton@ars.usda.gov

Insights

A multi-step diagnostic approach improves the detection of Shiga toxin-producing Escherichia coli (STEC) infections, including non-O157 strains. Polymerase chain reaction (PCR) profiling aids in rapid identification and outbreak detection.

Area of Science:

  • Clinical microbiology
  • Infectious diseases
  • Bacteriology

Background:

  • Many Shiga toxin-producing Escherichia coli (STEC) infections remain undiagnosed, especially those caused by non-O157 serotypes.
  • Accurate and timely diagnosis of STEC is crucial for patient management and public health surveillance.

Purpose of the Study:

  • To evaluate a multiple-protocol approach for enhancing the diagnosis, isolation, and characterization of STEC strains.
  • To assess the utility of polymerase chain reaction (PCR) for identifying STEC and characterizing strains.

Main Methods:

  • Analysis of 18 presumptive STEC-positive stool samples using sorbitol MacConkey (SMAC) agar plating and enrichment techniques.
  • Shiga toxin testing and isolation of STEC strains.
  • Polymerase chain reaction (PCR) analysis for gene profiling and strain characterization.

Main Results:

  • Out of 18 samples, 16 tested positive for Shiga toxin.
  • A combination of plating and enrichment successfully isolated STEC strains, including both O157:H7 and non-O157 serotypes.
  • PCR analysis confirmed STEC presence in samples that did not yield isolates on SMAC agar and identified distinct non-O157 strain types, facilitating outbreak investigation.

Conclusions:

  • A multiple-protocol approach is essential for reliable diagnosis and isolation of STEC.
  • PCR profiling offers a rapid method for STEC strain identification and can aid in the detection of outbreaks.