ABSTRACT
Early and accurate diagnoses of pathogenic microorganisms is essential to correctly identify diseases, treating infections, and tracking disease outbreaks associated with microbial infections, to develop precautionary measures that allow a fast and effective response in epidemics and pandemics, thus improving public health. Aptamers are a class of synthetic nucleic acid molecules with the potential to be used for medical purposes, since they can be directed towards any target molecule. Currently, the use of aptamers has increased because they are a useful tool in the detection of specific targets. We present a brief review of the use of aptamers to detect and identify bacteria or even some toxins with clinical importance. This work describes the advances in the technology of aptamers, with the purpose of providing knowledge to develop new aptamers for diagnoses and treatment of different diseases caused by infectious microorganisms.
Subject(s)
Aptamers, Nucleotide , Communicable Diseases , Humans , SELEX Aptamer Technique , Gram-Negative Bacteria/genetics , BacteriaABSTRACT
Trichosporon asteroides is an emerging yeast-like pathogen commonly misidentified by commercial biochemical identification systems. We evaluated the performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of 21 clinical T. asteroides strains using the Bruker Daltonics database (BDAL) and an in-house developed library. Mass spectra were obtained by the FlexControl system v.3.4, and characterizations were performed in the Biotyper BDAL database v.4.1 and the developed in-house library. Species identification for T. asteroides failed as all 21 strains were misidentified as T. japonicum (log-scores 1.89-2.19). Extending the existing database was crucial to achieving 100% correct species-level identification and accurate distinction between species. Our results indicate that the commercial BDAL database has no discriminatory power to distinguish between T. japonicum and T. asteroides. Whereas improvement of the current BDAL database is pending, we strongly advise system users not to exclude the possibility of the failure to report T. asteroides.
Subject(s)
Mycological Typing Techniques , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , Trichosporon , Trichosporonosis , Humans , Databases, Factual , Species Specificity , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Trichosporon/classification , Trichosporon/isolation & purification , Trichosporonosis/diagnosis , Trichosporonosis/microbiology , Mycological Typing Techniques/methodsABSTRACT
Los métodos fenotípicos empleados para la identificación de microorganismos dependen de procesos metabólicos que requieren de tiempos de incubación mínimos para alcanzar resultados confiables. La espectrometría de masas MALDI-TOF (desorción/ionización láser asistida por una matriz con detección de masas por tiempo de vuelo) se ha instaurado como una metodología relevante para la identificación de microorganismos mediante el análisis de proteínas, a través de la creación de un espectro de masas específico de género y especie. En esta revisión, se presenta MALDI-TOF MS como una tecnología precisa para la identificación de bacterias, levaduras, mohos, en incluso de virus ,que además, permite la reducción del tiempo para obtener un resultado de identificación, que puede impactar los costos de atención y duración de la estancia hospitalaria. La identificación de microorganismos directamente de muestras biológicas y la detección de mecanismos de resistencia a antimicrobianos, prometen un mayor impacto clínico y epidemiológico con el desarrollo e implementación de esta tecnología en los laboratorios de microbiología clínica.
Phenotypic methods used for the identification of microorganisms depend on metabolic processes that require minimum incubation times to achieve reliable results. For this reason, MALDI-TOF MS (Matrix Assisted Laser Desorption/Ionization Mass Spectrometry) has been established as a relevant methodology for the identification of microorganisms using analysis of proteins, through the creation of a mass spectrum specific for genus and species. In the present review, MALDI TOF MS is presented as an accurate technology for identifying bacteria, yeasts, molds and viruses; Its use allows reduction of the time to obtain an identification result, which may impact the costs of care and length of hospital stay. The identification of microorganisms directly from biological samples and the detection of mechanisms of antimicrobial resistance, promise an additional clinical and epidemiological impact with the development and implementation of this technology in clinical microbiology laboratories.