Culture-Independent Genotyping, Virulence and Antimicrobial Resistance Gene Identification of Staphylococcus aureus from Orthopaedic Implant-Associated Infections

Diagnosis and treatment of refractory infectious diseases using nanopore sequencing technology: Three case reports

BACKGROUND

Infectious diseases are still one of the greatest threats to human health, and the etiology of 20% of cases of clinical fever is unknown; therefore, rapid identification of pathogens is highly important. Traditional culture methods are only able to detect a limited number of pathogens and are time-consuming; serologic detection has window periods, false-positive and false-negative problems; and nucleic acid molecular detection methods can detect several known pathogens only once. Three-generation nanopore sequencing technology provides new options for identifying pathogens.

CASE SUMMARY

Case 1: The patient was admitted to the hospital with abdominal pain for three days and cessation of defecation for five days, accompanied by cough and sputum. Nanopore sequencing of the drainage fluid revealed the presence of oral-like bacteria, leading to a clinical diagnosis of bronchopleural fistula. Cefoperazone sodium sulbactam treatment was effective. Case 2: The patient was admitted to the hospital with fever and headache, and CT revealed lung inflammation. Antibiotic treatment for Streptococcus pneumoniae, identified through nanopore sequencing of cerebrospinal fluid, was effective. Case 3: The patient was admitted to our hospital with intermittent fever and an enlarged neck mass that had persisted for more than six months. Despite antibacterial treatment, her symptoms worsened. The nanopore sequencing results indicate that voriconazole treatment is effective for Aspergillus brookii. The patient was diagnosed with mixed cell type classical Hodgkin's lymphoma with infection.

CONCLUSION

Three-generation nanopore sequencing technology allows for rapid and accurate detection of pathogens in human infectious diseases.

Molecular Characteristics of Staphylococcus aureus Isolates form Food-Poisoning Outbreaks (2011-2022) in Sichuan, China

Staphylococcal food poisoning (SFP) is one of the most common foodborne diseases in the world. This study aimed to investigate the molecular epidemiological characteristics of Staphylococcus aureus isolated from SFP. A total of 103 S. aureus isolates were obtained during 2011-2022 in Sichuan, southwest China. All isolates were tested for the genomic characteristics and phylogenetic analysis by performing whole-genome sequencing. Multilocus sequence typing analysis showed 17 multilocus sequence types (STs), ST7 (23.30%), ST5 (22.33%), and ST6 (16.50%) being the most common. A total of 45 virulence genes were detected, 22 of which were staphylococcal enterotoxin (SE) genes. Among the identified SE genes, selX exhibited the highest prevalence (86.4%). All isolates carried at least one SE gene. The results of the antimicrobial resistance (AMR) gene detection revealed 41 AMR genes of 12 classes. β-lactam resistance genes (blal, blaR1, blaZ) and tetracycline resistance gene (tet(38)) exhibited a higher prevalence rate. Core genome single nucleotide polymorphism showed phylogenetic clustering of the isolates with the same region, year, and ST. The results indicated that the SFP isolates in southwest of China harbored multiple toxin and resistance genes, with a high prevalence of new SEs. Therefore, it is important to monitor the antimicrobial susceptibility and SE of S. aureus to reduce the potential risks to public health.

Nanopore Electrochemistry for Pathogen Detection

Pathogen infections have seriously threatened human health, and there is an urgent demand for rapid and efficient pathogen identification to provide instructions in clinical diagnosis and therapeutic intervention. Recently, nanopore technology, a rapidly maturing technology which delivers ultrasensitive sensing and high throughput in real-time and at low cost, has achieved success in pathogen detection. Furthermore, the remarkable development of nanopore sequencing, for example, the MinION sequencer from Oxford Nanopore Technologies (ONT) as a competitive sequencing technology, has facilitated the rapid analysis of disease-related microbiomes at the whole-genome level and on a large scale. Here, we highlighted recent advances in nanopore approaches for pathogen detection at the single-molecule level. We also overviewed the applications of nanopore sequencing in pathogenic bacteria identification and diagnosis. In the end, we discussed the challenges and future developments of nanopore technology as promising tools for the management of infections, which may be helpful to aid understanding as well as decision-making.

Shotgun-metagenomics based prediction of antibiotic resistance and virulence determinants in Staphylococcus aureus from periprosthetic tissue on blood culture bottles

Shotgun-metagenomics may give valuable clinical information beyond the detection of potential pathogen(s). Identification of antimicrobial resistance (AMR), virulence genes and typing directly from clinical samples has been limited due to challenges arising from incomplete genome coverage. We assessed the performance of shotgun-metagenomics on positive blood culture bottles (n = 19) with periprosthetic tissue for typing and prediction of AMR and virulence profiles in Staphylococcus aureus. We used different approaches to determine if sequence data from reads provides more information than from assembled contigs. Only 0.18% of total reads was derived from human DNA. Shotgun-metagenomics results and conventional method results were consistent in detecting S. aureus in all samples. AMR and known periprosthetic joint infection virulence genes were predicted from S. aureus. Mean coverage depth, when predicting AMR genes was 209 ×. Resistance phenotypes could be explained by genes predicted in the sample in most of the cases. The choice of bioinformatic data analysis approach clearly influenced the results, i.e. read-based analysis was more accurate for pathogen identification, while contigs seemed better for AMR profiling. Our study demonstrates high genome coverage and potential for typing and prediction of AMR and virulence profiles in S. aureus from shotgun-metagenomics data.