Aptasensor fluorescente dirigido al dominio de unión a fibrinógeno del factor de agregación A para la detección...

Staphylococcus aureus (S. aureus) is a versatile pathogen responsible for a wide range of illnesses from minor skin infections to critical conditions like pneumonia, sepsis, and toxic shock syndrome in humans. Clumping factor A (ClfA), a surface protein of S. aureus, plays a crucial role in bloodstream infections by attaching to fibrinogen, facilitating bacterial adherence and clumping. This study describes the selection of DNA aptamers, specific to ClfA using the technique of Ni-NTA affinity systematic evolution of ligands by exponential enrichment (SELEX). A DNA library of 76-mer single-stranded oligodeoxynucleotides with a 40-mer random region was utilized. The SELEX process involved thermal equilibration, incubation with ClfA immobilized on Ni-NTA beads, and multiple washing and elution steps. Oligonucleotide pool obtained from the final round was cloned and sequenced. Selected aptamers were validated using microtiter plate-based aptamer binding assay, molecular docking, electrophoretic mobility shift assay (EMSA), and bead-based binding assay. The aptamer (CA 11.1) binding affinity was determined by nonlinear regression analysis, yielding an apparent dissociation constant (K_D) of 264 nM. The aptamer and ClfA binding interactions were predicted using HDOCK. The selected aptamer displayed specificity for S. aureus, by showing four times higher binding for the target as compared to non-target bacteria. CA 11.1 exhibited S. aureus binding in a linear range of 10³ to 10⁸ CFU/mL and a limit of detection (LOD) of 10³ CFU/mL, determined using graphene oxide (GO) platform. The analytical performance of the selected aptamer was tested in food (milk) and human serum samples spiked with S. aureus, demonstrating its suitability for real sample analysis. This study highlights the effectiveness of aptamer-based bio-receptors in detecting S. aureus, offering a promising approach for diagnostic and therapeutic applications.