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Fourier-transform infrared spectroscopy for rapid Streptococcus pneumoniae serotyping in a tertiary care general
Miriam Campos-Ruiz1,2, Jun Hao Wang-Wang1,2, Antoni E Bordoy1,3
1Microbiology Department, Laboratori Clínic Metropolitana Nord, Germans Trias i Pujol University Hospital, Badalona, Spain.
Abstract:
Streptococcus pneumoniae is the leading cause of community-acquired pneumonia and remains a significant contributor to bacteremia and meningitis, collectively known as invasive pneumococcal disease (IPD). Certain serotypes are more strongly associated with severe illness and antimicrobial resistance. Accurate serotyping is essential for effective IPD surveillance and vaccine development. Fourier-transform infrared (FTIR) spectroscopy has emerged as a valuable tool for differentiating among serotypes across various isolates. We analyzed 150 pneumococcal strains isolated from a tertiary hospital in Barcelona, Catalonia, Spain, between 2016 and 2023, representing 32 serotypes associated with IPD. Forty-nine samples (33%) exhibited serotypes included in PCV13 vaccine. Each strain was classified using (A) FTIR-based clustering and (B) FTIR machine-learning-based PneumoClassifier algorithm. The results were compared to the Quellung reaction, the gold standard methodology. Clustering method grouped correctly PCV13-serotypes 1, 3, and 19F and non-PCV13 serotypes 6C, 7BC, 17F, 24F, 31, and 35B (48/150). PneumoClasifier algorithm successfully grouped all PCV13-serotypes (49/49) including some of the most virulent described serotypes, such as 1, 6B, 7F, and 14. Among non-PCV13 serotypes, it correctly classified 73 out of 101 isolates (72.3%). However, 12F, 15AB, 16F, 17F, 23A, and 24F were misclassified. Overall, PneumoClassifier achieved an accuracy of 122/150 (79.80%) in serotyping pneumococcal strains, demonstrating higher concordance with Quellung (adjusted Rand index: 0.717, adjusted Wallace coefficient: 0.636) compared to the clustering approach (0.397 and 0.378, respectively) (p < 0.001). FTIR has proven to be a rapid, user-friendly, cost-effective, and practical technique, making it a promising first-line tool for S. pneumoniae serotyping.
Insights
Fourier-transform infrared (FTIR) spectroscopy effectively serotypes Streptococcus pneumoniae strains, aiding in invasive pneumococcal disease surveillance. The PneumoClassifier algorithm demonstrated high accuracy, outperforming clustering methods.
Area of Science:
- Microbiology
- Spectroscopy
- Bioinformatics
Background:
- Streptococcus pneumoniae causes pneumonia, bacteremia, and meningitis (invasive pneumococcal disease - IPD).
- Accurate serotyping is crucial for IPD surveillance and vaccine development.
- Fourier-transform infrared (FTIR) spectroscopy shows potential for rapid serotype differentiation.
Purpose of the Study:
- To evaluate FTIR spectroscopy, including clustering and machine learning (PneumoClassifier), for S. pneumoniae serotyping.
- To compare FTIR-based methods against the gold standard Quellung reaction.
- To assess the utility of FTIR as a practical tool for S. pneumoniae serotyping.
Main Methods:
- Analyzed 150 S. pneumoniae strains from Barcelona (2016-2023) representing 32 IPD-associated serotypes.
- Serotyping performed using FTIR-based clustering and the FTIR machine-learning PneumoClassifier algorithm.
- Results compared with the Quellung reaction.
Main Results:
- PneumoClassifier correctly identified all 49 PCV13 vaccine serotypes (100% accuracy).
- PneumoClassifier achieved 79.80% overall accuracy (122/150 strains), significantly outperforming the clustering approach.
- FTIR-based methods showed higher concordance with Quellung reaction compared to clustering (adjusted Rand index: 0.717 vs. 0.397).
Conclusions:
- FTIR spectroscopy, particularly the PneumoClassifier algorithm, is a rapid, accurate, and cost-effective method for S. pneumoniae serotyping.
- This technique shows promise as a first-line tool for IPD surveillance and vaccine development.
- FTIR offers a user-friendly and practical alternative to traditional serotyping methods.
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