Publications by authors named "Francisco Romero Pastrana"

Article Synopsis
  • Implant-associated infections are difficult to diagnose and treat, but fluorescent probes offer a non-invasive way to identify the specific bacteria causing these infections.
  • This study compared two fluorescent probes—Vanco-800CW and 1D9-680—specifically for their effectiveness in detecting Staphylococcus aureus biofilm infections on spinal implants using optical imaging.
  • The 1D9-680 probe outperformed the other, and was successfully tested for use in different infection models, leading to the development of an image-guided surgery system to aid in the removal of infected tissue.
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Infections caused by multidrug-resistant Staphylococcus aureus, especially methicillin-resistant S. aureus (MRSA), are responsible for high mortality and morbidity worldwide. Resistant lineages were previously confined to hospitals but are now also causing infections among healthy individuals in the community.

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Spine implant infections portend disastrous outcomes, as diagnosis is challenging and surgical eradication is at odds with mechanical spinal stability. Current imaging modalities can detect anatomical alterations and anomalies but cannot differentiate between infection and aseptic loosening, diagnose specific pathogens, or delineate the extent of an infection. Herein, a fully human monoclonal antibody 1D9, recognizing the immunodominant staphylococcal antigen A on the surface of Staphylococcus aureus, was assessed as a nuclear and fluorescent imaging probe in a preclinical model of S.

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Human antibody responses to pathogens, like Staphylococcus aureus, are important indicators for in vivo expression and immunogenicity of particular bacterial components. Accordingly, comparing the antibody responses to S. aureus components may serve to predict their potential applicability as antigens for vaccination.

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The key to effective treatment of bacterial infections is a swift and reliable diagnosis. Current clinical standards of bacterial diagnosis are slow and laborious. There are several anatomical imaging modalities that can detect inflammation, but none can distinguish between bacterial and sterile inflammation.

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Staphylococcus aureus infections are a major threat in healthcare, requiring adequate early-stage diagnosis and treatment. This calls for novel diagnostic tools that allow noninvasive in vivo detection of staphylococci. Here we performed a preclinical study to investigate a novel fully-human monoclonal antibody 1D9 that specifically targets the immunodominant staphylococcal antigen A (IsaA).

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The gram-positive bacterium Lactococcus lactis is a useful host for extracellular protein production. A main advantage of L. lactis over other bacterial expression systems is that lactococcal cells display low levels of autolysis and proteolysis.

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The immunodominant staphylococcal antigen A (IsaA) is a potential target for active or passive immunization against the important human pathogen Staphylococcus aureus. Consistent with this view, monoclonal antibodies against IsaA were previously shown to be protective against S. aureus infections in mouse models.

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Staphylococcus aureus is a serious public health burden causing a wide variety of infections. Earlier detection of such infections could result in faster and more directed therapies that also prevent resistance development. Human monoclonal antibodies (humAbs) are promising tools for diagnosis and therapy owing to their relatively straightforward synthesis, long history of safe clinical use and high target specificity.

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Analysis of autolysis of derivatives of Lactococcus lactis subsp. cremoris MG1363 and subsp. lactis IL1403, both lacking the major autolysin AcmA, showed that L.

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The primary underlying cause of cervical cancer is infection with one or more high-risk (HR) types of the human papilloma virus (HPV). Detection and typing of HPV have been commonly carried out by PCR-based assays, where HPV detection and typing are two separate procedures. Here, we present a multiplex PCR-based HPV typing assay that detects 20 HPV types (15 HR, 3 probably HR and 2 low risk) using type-specific primers and agarose gel electrophoresis.

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