Interactions between staphylococcal enterotoxins A and D and superantigen-like proteins 1 and 5 for predicting methicillin and multidrug resistance profiles among Staphylococcus aureus ocular isolates
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Updated: Oct 26, 2025

Subcutaneous Infection of Methicillin Resistant Staphylococcus Aureus MRSA
Published on: February 9, 2011
Min Lu1, Jean-Marie Parel2, Darlene Miller3
1Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America.
Background:
Methicillin-resistant Staphylococcus aureus (MRSA) and multidrug-resistant (MDR) S. aureus strains are well recognized as posing substantial problems in treating ocular infections. S. aureus has a vast array of virulence factors, including superantigens and enterotoxins. Their interactions and ability to signal antibiotics resistance have not been explored.
Objectives:
To predict the relationship between superantigens and methicillin and multidrug resistance among S. aureus ocular isolates.
Methods:
We used a DNA microarray to characterize the enterotoxin and superantigen gene profiles of 98 S. aureus isolates collected from common ocular sources. The outcomes contained phenotypic and genotypic expressions of MRSA. We also included the MDR status as an outcome, categorized as resistance to three or more drugs, including oxacillin, penicillin, erythromycin, clindamycin, moxifloxacin, tetracycline, trimethoprim-sulfamethoxazole and gentamicin. We identified gene profiles that predicted each outcome through a classification analysis utilizing Random Forest machine learning techniques.
Findings:
Our machine learning models predicted the outcomes accurately utilizing 67 enterotoxin and superantigen genes. Strong correlates predicting the genotypic expression of MRSA were enterotoxins A, D, J and R and superantigen-like proteins 1, 3, 7 and 10. Among these virulence factors, enterotoxin D and superantigen-like proteins 1, 5 and 10 were also significantly informative for predicting both MDR and MRSA in terms of phenotypic expression. Strong interactions were identified including enterotoxins A (entA) interacting with superantigen-like protein 1 (set6-var1_11), and enterotoxin D (entD) interacting with superantigen-like protein 5 (ssl05/set3_probe 1): MRSA and MDR S. aureus are associated with the presence of both entA and set6-var1_11, or both entD and ssl05/set3_probe 1, while the absence of these genes in pairs indicates non-multidrug-resistant and methicillin-susceptible S. aureus.
Conclusions:
MRSA and MDR S. aureus show a different spectrum of ocular pathology than their non-resistant counterparts. When assessing the role of enterotoxins in predicting antibiotics resistance, it is critical to consider both main effects and interactions.
Insights
Methicillin-resistant Staphylococcus aureus (MRSA) and multidrug-resistant (MDR) strains show distinct ocular pathology. Specific enterotoxin and superantigen genes accurately predict MRSA and MDR status in S. aureus ocular isolates.
Area of Science:
- Ophthalmology
- Microbiology
- Genetics
Background:
- Methicillin-resistant Staphylococcus aureus (MRSA) and multidrug-resistant (MDR) S. aureus present significant challenges in treating ocular infections.
- S. aureus possesses numerous virulence factors, including superantigens and enterotoxins, whose roles in antibiotic resistance are not fully understood.
Purpose of the Study:
- To investigate the relationship between superantigen and enterotoxin genes and antibiotic resistance in S. aureus ocular isolates.
- To predict methicillin and multidrug resistance in S. aureus using virulence factor gene profiles.
Main Methods:
- DNA microarray analysis of 98 S. aureus ocular isolates to profile enterotoxin and superantigen genes.
- Classification analysis using Random Forest machine learning to identify predictive gene profiles for MRSA and MDR status.
- Phenotypic and genotypic characterization of MRSA and MDR outcomes.
Main Results:
- Machine learning models accurately predicted MRSA and MDR status using 67 virulence factor genes.
- Enterotoxins A, D, J, R and superantigen-like proteins 1, 3, 7, 10 were strong predictors of genotypic MRSA.
- Enterotoxin D and superantigen-like proteins 1, 5, 10 were key predictors for both MDR and MRSA phenotypes.
- Identified specific gene interactions (e.g., entA with set6-var1_11, entD with ssl05/set3_probe 1) associated with MRSA and MDR.
Conclusions:
- MRSA and MDR S. aureus strains exhibit unique ocular pathology compared to susceptible strains.
- Considering both main effects and interactions of enterotoxins is crucial for predicting antibiotic resistance in S. aureus.
- Specific combinations of virulence factor genes can accurately predict antibiotic resistance in ocular S. aureus isolates.
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