Accurate detection of binary toxin producer from Clostridium difficile by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

MALDI-TOF Mass Spectrometry and 16S rRNA Gene Sequence Analysis for the Identification of Foodborne Clostridium Spp

BACKGROUND

Clostridium is a genus of Gram-positive, spore-forming, anaerobic bacteria comprising approximately 100 species. Some Clostridium spp. (C. botulinum, C. perfringens, C. tetani and C. difficile) were recognized to cause acute food poisoning, botulism, tetanus, and diarrheal illness in humans. Thus, rapid identification of Clostridium spp. is critical for source tracking of contaminated food and to understand the transmission dynamics of these foodborne pathogens.

OBJECTIVE

This study was carried out to rapidly identify Clostridium-like isolates by MALDI-TOF MS and rRNA sequencing methods.

METHODS

Thirty-three Clostridium-like isolates were recovered from various baby food and surveillance samples. Species identification of these isolates was accomplished using VITEK MS system. Sequence characterization of the 16S rRNA region was done on an ABI 3500XL Genetic Analyzer.

RESULTS

The VITEK MS system identified 28 of the 33 Clostridium-like isolates with a high confidence value (99.9%); no ID was observed for the rest of the five isolates. Nucleotide sequencing of 16S rRNA region identified all 33 Clostridium-like isolates. Furthermore, while characterizing the 16S rRNA gene, eleven distinct Clostridium spp. (Clostridium aciditolerans, Clostridium aerotolerans, Clostridium argentinense, Clostridium beijerinckii, Clostridium bifermentans, Clostridium butyricum, Clostridium cochlearium, Clostridium difficile, Clostridium perfringens, Clostridium sporogenes, and Clostridium subterminale) were recognized among the 33 Clostridium-like isolates. One of the Clostridium-like isolate was identified as the Citrobacter amalonaticus by both diagnostic methods. The generated 16S rRNA sequences matched completely (100%) with sequences available in GenBank for Clostridium and Citrobacter species. Species identification attained by the VITEK MS for the Clostridium-like isolates was comparable to the 16S rRNA sequencing based data.

HIGHLIGHTS

MALDI-TOF mass spectrometry and 16S rRNA sequencing can be used in the species identification of Clostridium species.

Proteotyping of Clostridioides difficile as Alternate Typing Method to Ribotyping Is Able to Distinguish the Ribotypes RT027 and RT176 From Other Ribotypes

Clostridioides difficile, a Gram-positive spore-forming bacterium, is the leading cause of nosocomial diarrhea worldwide and therefore a substantial burden to the healthcare system. During the past decade, hypervirulent PCR-ribotypes (RT) e.g., RT027 or RT176 emerged rapidly all over the world, associated with both, increased severity and mortality rates. It is thus of great importance to identify epidemic strains such as RT027 and RT176 as fast as possible. While commonly used diagnostic methods, e.g., multilocus sequence typing (MLST) or PCR-ribotyping, are time-consuming, proteotyping offers a fast, inexpensive, and reliable alternative solution. In this study, we established a MALDI-TOF-based typing scheme for C. difficile. A total of 109 ribotyped strains representative for five MLST clades were analyzed by MALDI-TOF. MLST, based on whole genome sequences, and PCR-ribotyping were used as reference methods. Isoforms of MS-detectable biomarkers, typically ribosomal proteins, were related with the deduced amino acid sequences and added to the C. difficile proteotyping scheme. In total, we were able to associate nine biomarkers with their encoding genes and include them in our proteotyping scheme. The discriminatory capacity of the C. difficile proteotyping scheme was mainly based on isoforms of L28-M (2 main isoforms), L35-M (4 main isoforms), and S20-M (2 main isoforms) giving rise to at least 16 proteotyping-derived types. In our test population, five of these 16 proteotyping-derived types were detected. These five proteotyping-derived types did not correspond exactly to the included five MLST-based C. difficile clades, nevertheless the subtyping depth of both methods was equivalent. Most importantly, proteotyping-derived clade B contained only isolates of the hypervirulent RT027 and RT176. Proteotyping is a stable and easy-to-perform intraspecies typing method and a promising alternative to currently used molecular techniques. It is possible to distinguish the group of RT027 and RT176 isolates from non-RT027/non-RT176 isolates using proteotyping, providing a valuable diagnostic tool.

HMW-profiling using MALDI-TOF MS: A screening method for outbreaks of Clostridioides difficile

Clostridioides difficile (CD), previously known as Clostridium difficile, is an anaerobic Gram-positive rod-shaped bacterium that causes mild to severe diarrhea mainly in hospitalized patients. The bacteria are easily spread between patients and can persist in hospital wards due to its ability to form spores. An outbreak of CD causes great sufferings for patients and is in many aspects very expensive for the health care organization. Continuously monitoring circulating CD isolates in the hospital as well as being able to detect possible spread between patients at an early phase would be of great benefit. Recently a new method was published by Rizzardi et al. (2015) where CD can be typed to a High Molecular Weight (HMW)-profile using Matrix-Assisted Laser Desorption Ionization -Time of Flight Mass Spectrometry (MALDI-TOF MS). We analyzed 1000 isolates of toxin-positive CD with this method and compared the frequency of profiles within different hospitals as well as between two counties in the south-east part of Sweden. During the study period we could detect three outbreaks of CD in three different hospitals. One was an outbreak of CD with ribotype 027, resulting in severe consequences. The method was easily implemented at the clinical microbiology routine diagnostic laboratory and in collaboration with the hospitals Infection Control Units it is a very useful and cost-effective tool to detect outbreaks of CD at an early stage.