A highly-sensitive rapid test for the diagnosis of streptococcal pharyngitis: BD veritor ™ system

Foodborne streptococcal tonsillopharyngitis outbreak in a hospital

OBJECTIVE

Group A beta-haemolytic streptococci (GAS), which are responsible for most cases of acute bacterial tonsillopharyngitis, are transmitted from person to person and may rarely cause foodborne outbreaks. This study aims to report the epidemic caused by GAS in our hospital and to draw attention to the explosive outbreaks of the bacteria.

METHODS

Acute tonsillopharyngitis was seen in 201 of 450 hospital employees who ate in the hospital cafeteria on 4-5 June 2015.

RESULTS

GAS was detected in 106 (68%) of 157 cases and in 40 (63.5%) of 62 throat culture samples. The attack rate was 44.7%. The most suspected source of the outbreak was a food handler who had been showing signs of streptococcal tonsillopharyngitis for six days, and perhaps the food prepared by these staff.

CONCLUSION

It should not be forgotten that GAS can cause explosive outbreaks by infecting food through hand lesions or mouth secretions of food service personnel.

Nanobiosensor Based on Sugar Code-AuNPs Aggregation: A Key to Opening New Gates in Rapid Diagnosis of Streptococcal Pharyngitis

Streptococcal pharyngitis is mainly caused by Streptococcus pyogenes (GAS), which if left untreated can lead to rheumatic heart disease. The accurate diagnosis of streptococcal pharyngitis is a challenge for clinicians because several symptoms of streptococcal pharyngitis are similar to viral pharyngitis. There are some commercially available biosensors for the rapid diagnosis of streptococcal pharyngitis. Nevertheless, they are not widely used by physicians, mainly because of their high price and dependence on the instrument. Serotype M1 GAS is the most prevalent cause of streptococcal pharyngitis and binds to H-1 antigen, a sugar code found on oral epithelial cells. Here, we present a nanobiosensor based on aggregation of H-1 antigen-conjugated gold nanoparticles for the rapid, qualitative, and quantitative detection of M1 GAS, which is inspired by the sugar code-lectin interaction. It is noteworthy that M1 GAS was detected in a wide concentration range (1 × 103-1×106 CFU/ml) with a linear response and a short detection time of 20 min. Good reproducibility, easy-to-use, and relatively low production cost are among other attractive features of this nanobiosensor. This work provides a strategic roadmap for developing a new generation of biosensors via targeting the sugar code-lectin interaction in future studies.