Diagnostic accuracy of 16S rDNA PCR in bacterial pyomyositis: A prospective study

Strand displacement amplification triggered 3D DNA roller assisted CRISPR/Cas12a electrochemiluminescence cascaded signal amplification for sensitive detection of Ec-16S rDNA

BACKGROUND

Escherichia coli can cause gastrointestinal infection, urinary tract infection and other infectious diseases. Accurate detection of Escherichia coli 16S rDNA (Ec-16S rDNA) in clinical practice is of great significance for the identification and treatment of related diseases. At present, there are various types of sensors that can achieve accurate detection of Ec-16S rDNA. Electrochemiluminescence (ECL) has attracted considerable attention from researchers, which causes excellent performance in bioanalysis. Based on the previous research, it is significance to develop a novel, sensitive and efficient ECL biosensor.

RESULTS

In this work, an ECL biosensor for the detection of Ec-16S rDNA was constructed by integrating CRISPR/Cas12a technology with the cascade signal amplification strategy consisting of strand displacement amplification (SDA) and dual-particle three-dimensional (3D) DNA rollers. The amplification products of SDA triggered the operation of the DNA rollers, and the products generated by the DNA rollers activated CRISPR/Cas12a to cleave the signal probe, thereby realizing the change of the ECL signal. The cascade amplification strategy realized the exponential amplification of the target signal and greatly improved the sensitivity. Manganese dioxide nanoflowers (MnO2 NFs) as a co-reaction promoter effectively enhanced the ECL intensity of tin disulfide quantum dots (SnS2 QDs). A new ternary ECL system (SnS2 QDs/S2O82-/MnO2 NFs) was prepared, which made the change of ECL intensity of biosensor more significant. The proposed biosensor had a response range of 100 aM-10 nM and a detection limit of 27.29 aM (S/N = 3).

SIGNIFICANCE AND NOVELTY

Herein, the cascade signal amplification strategy formed by SDA and dual-particle 3D DNA rollers enabled the ECL biosensor to have high sensitivity and low detection limit. At the same time, the cascade signal amplification strategy was integrated with CRISPR/Cas12a to enable the biosensor to efficiently detect the target. It can provide a new idea for the detection of Ec-16S rDNA in disease diagnosis and clinical analysis.

Direct 16S/18S rRNA Gene PCR Followed by Sanger Sequencing as a Clinical Diagnostic Tool for Detection of Bacterial and Fungal Infections: a Systematic Review and Meta-Analysis

rRNA gene Sanger sequencing is being used for the identification of cultured pathogens. A new diagnostic approach is sequencing of uncultured samples by using the commercial DNA extraction and sequencing platform SepsiTest (ST). The goal was to analyze the clinical performance of ST with a focus on nongrowing pathogens and the impact on antibiotic therapy. A literature search used PubMed/Medline, Cochrane, Science Direct, and Google Scholar. Eligibility followed PRISMA-P criteria. Quality and risk of bias were assessed drawing on QUADAS-2 (quality assessment of diagnostic accuracy studies, revised) criteria. Meta-analyses were performed regarding accuracy metrics compared to standard references and the added value of ST in terms of extra found pathogens. We identified 25 studies on sepsis, infectious endocarditis, bacterial meningitis, joint infections, pyomyositis, and various diseases from routine diagnosis. Patients with suspected infections of purportedly sterile body sites originated from various hospital wards. The overall sensitivity (79%; 95% confidence interval [CI], 73 to 84%) and specificity (83%; 95% CI, 72 to 90%) were accompanied by large effect sizes. ST-related positivity was 32% (95% CI, 30 to 34%), which was significantly higher than the culture positivity (20%; 95% CI, 18 to 22%). The overall added value of ST was 14% (95% CI, 10 to 20%) for all samples. With 130 relevant taxa, ST uncovered high microbial richness. Four studies demonstrated changes of antibiotic treatment at 12% (95% CI, 9 to 15%) of all patients upon availability of ST results. ST appears to be an approach for the diagnosis of nongrowing pathogens. The potential clinical role of this agnostic molecular diagnostic tool is discussed regarding changes of antibiotic treatment in cases where culture stays negative.

Isolation and characteristics of multi-drug resistant Streptococcus porcinus from the vaginal secretions of sow with endometritis

Background

Sow endometritis is a common disease in pig breeding farms after artificial insemination, which leads to gray-green vaginal secretions and decreased conception rates. It is important to perform an etiologic diagnosis for effective treatments and control of diseases. The aim of this study was to carry out a pathogenic detection in five specimens of vaginal secretions collected from sick pigs with endometritis, implement identification of the pathogens by phenotypic detection and 16 s rDNA sequence and phylogeny analysis, and determinate antibiotic susceptibility of the isolates.

Results

A Streptococcus strain was isolated and identified from all of the five specimens. The isolate was positive for Voges-Proskauer (V-P) and for the hydrolysis of arginine, esculin and myelin-associated glycoprotein (MAG). Acid formation was observed for sorbitol, mushroom sugar, sucrose, and glucose. The 16S rDNA sequence of the isolate possessed 99.93% similarity to that of Streptococcus porcinus. The phylogenetic analysis of 16S rDNA sequence showed that the isolate belonged to the same clade as the S. porcinus strains from humans, pigs, and other animals. The isolate exhibited multi-drug resistance to aminoglycosides, quinolones, macrolides and tetracyclines except being sensitive to some β- lactams such as penicillin G, cephalothin, cefazolin, cephradine and cefuroxime.

Conclusions

A S. porcinus isolate with multi-drug resistance was identified from vaginal secretions of sows with endometritis in one pig breeding farm, which suggests that the sow endometritis was caused by S. porcinus infection during artificial insemination. This study indicates that sensitive antibiotics such as penicillin G or some cephalosporins could be used for treatment of the diseases. In addition, the study hints that bacterial multi-drug resistance is a tough problem for disease treatment in pig farms.