- Bacterial Identification and Susceptibility Testing
- Antibiotic Resistance in Bacteria
- Clostridium difficile and Clostridium perfringens research
- Antimicrobial Resistance in Staphylococcus
- Streptococcal Infections and Treatments
- Gut microbiota and health
- Biosensors and Analytical Detection
- Antibiotics Pharmacokinetics and Efficacy
- Genomics and Phylogenetic Studies
- COVID-19 Clinical Research Studies
- Urinary Tract Infections Management
- Metabolomics and Mass Spectrometry Studies
- SARS-CoV-2 and COVID-19 Research
- Inflammasome and immune disorders
- Plant Pathogenic Bacteria Studies
- Yersinia bacterium, plague, ectoparasites research
- SARS-CoV-2 detection and testing
- CRISPR and Genetic Engineering
- Infections and bacterial resistance
- Vibrio bacteria research studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Antifungal resistance and susceptibility
- Long-Term Effects of COVID-19
- Mycotoxins in Agriculture and Food
- Enterobacteriaceae and Cronobacter Research
Instituto de Investigación Biomédica de A Coruña
2024-2025
Complexo Hospitalario Universitario A Coruña
2023-2025
Hospital General Universitario Gregorio Marañón
2019-2024
Abstract Background There is a paucity of knowledge on the long-term outcome in patients diagnosed with COVID-19. We describe cohort constellation symptoms occurring four weeks after diagnosis causing different degrees reduced functional capacity. Although hypothesis have been proposed to explain this condition like persistent immune activation or immunological dysfunction, date, no physiopathological mechanism has identified. Consequently, there are therapeutic options besides symptomatic...
The Enterobacter cloacae complex (ECC) encompasses heterogeneous clusters of species that have been associated with nosocomial outbreaks. These may different acquired antimicrobial resistance and virulence mechanisms, their identification is challenging. This study aims to develop predictive models based on matrix-assisted laser desorption ionization-time flight mass spectrometry (MALDI-TOF MS) profiles machine learning for species-level identification. A total 219 ECC 118 Klebsiella...
MALDI-TOF MS is considered to be an important tool for the future development of rapid microbiological techniques. We propose application as a dual technique identification bacteria and detection resistance, with no extra hands-on procedures.
ABSTRACT Pseudomonas aeruginosa is a major nosocomial pathogen commonly involved in multidrug-resistant (MDR) infections that are very difficult to treat. Imipenem/relebactam new carbapenem/β-lactamase inhibitor combination with robust activity against P. . However, resistance increasingly reported, and rapid detection is, therefore, crucial so appropriate treatments can be prescribed. We have developed MALDI TOF-MS-based method accurately predict the presence of carbapenemases using...
Vancomycin-resistant Enterococcus faecium represents a health threat due to its ability spread and cause outbreaks. MALDI-TOF MS has demonstrated usefulness for E. identification, but implementation antimicrobial resistance detection is still under evaluation. This study assesses the repeatability of peak analysis performance in discrimination vancomycin-susceptible (VSE) from vancomycin-resistant isolates (VRE). The was carried out on protein spectra 178 unique clinical isolates-92 VSE, 31...
In this study, we evaluate the performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for rapid detection carbapenemase activity in Enterobacterales clinical microbiology laboratories during a multicenter networking validation study. The study was divided into three different stages: “software design,” “intercenter evaluation,” and “clinical validation.” First, standardized procedure with an online software data analysis designed....
Clostridioides difficile is a leading cause of hospital-acquired diarrhea, presenting significant clinical challenges due to its high morbidity and mortality rates role in nosocomial outbreaks. Rapid accurate detection toxigenic ribotypes crucial for effective outbreak control. We developed diagnostic methodology utilizing MALDI-TOF MS Machine Learning algorithms differentiate C. ribotypes. Analysis spectra from 379 isolates 10 Spanish hospitals identified seven biomarker peaks...
The increasing emergence of carbapenemase-producing Klebsiella pneumoniae (CPK) isolates is a global health alarm. Rapid methods that require minimum sample preparation and rapid data analysis are urgently required. Matrix-assisted laser desorption ionization-time flight mass spectrometry (MALDI-TOF MS) has recently been used by clinical laboratories for identification antibiotic-resistant bacteria; however, discrepancies have arisen regarding biological technical issues. aim this study was...
Abstract Clostridioides difficile is the main cause of antibiotic related diarrhea and some ribotypes (RT), such as RT027, RT181 or RT078, are considered high risk clones. A fast reliable approach for C. ribotyping needed a correct clinical approach. This study analyses high-molecular-weight proteins with MALDI-TOF MS. Sixty-nine isolates representative most common in Europe were analyzed 17,000-65,000 m/z region classified into 4 categories (RT027, RT181, RT078 ‘Other RTs’). Five supervised...
Early use of infection control methods is critical for preventing the spread antimicrobial resistance. Whole-genome sequencing (WGS) considered gold standard investigating outbreaks; however, turnaround time usually too long clinical decision-making and method also costly. The aim this study was to evaluate performance Fourier transform infrared (FTIR) artificial intelligence tools as a first-line typing tool carbapenemase-producing Klebsiella pneumoniae (CPK) in hospital setting. For...
The goal of this study was to evaluate matrix-assisted laser desorption ionization–iime flight mass spectrometry (MALDI-TOF MS) and Fourier-transform infrared spectroscopy (FTIR-S) as diagnostic alternatives DNA-based methods for the detection Pseudomonas aeruginosa sequence type (ST) 175 isolates involved in a hospital outbreak. For purpose, 27 P. from an outbreak detected Hematology department our were analyzed by above-mentioned methodologies. Previously, these had been characterized...
Objectives : Evaluation of Matrix-Assisted Laser Desorption Ionization-Time Flight Mass Spectrometry (MALDI-TOF MS) and Fourier Transform Infrared-Spectroscopy (FTIR-S) as diagnostic alternatives to DNA-based methods for the detection Pseudomonas aeruginosa sequence type (ST) 175 isolates involved in a hospital outbreak. Methods Twenty-seven P. from 2014 outbreak Hematology department our were previously characterized by PFGE WGS. Besides, 8 analyzed unrelated controls. MALDI-TOF MS spectra...
ABSTRACT Vancomycin-resistant Enterococcus faecium has become a health threat over the last 20 years due to its ability rapidly spread and cause outbreaks in hospital settings. Although MALDI-TOF MS already demonstrated usefulness for accurate identification of E. , implementation antimicrobial resistance detection is still under evaluation. The reproducibility peak analysis performance correct discrimination vancomycin susceptible isolates (VSE) from those hosting VanA VanB mechanisms was...
Abstract Matrix-Assisted Laser Desorption Ionization Time-Of-Flight (MALDI-TOF) Mass Spectrometry (MS) is a reference method for microbial identification and it can be used to predict Antibiotic Resistance (AR) when combined with artificial intelligence methods. However, current solutions need time-costly preprocessing steps, are difficult reproduce due hyperparameter tuning, hardly interpretable, do not pay attention epidemiological differences inherent data coming from different centres,...
Reverse transcription-PCRs (RT-PCRs) targeting SARS-CoV-2 variant of concern (VOC) mutations have been developed to simplify their tracking. We evaluated an assay E484K/N501Y identify B.1.351/P1. Whole-genome sequencing (WGS) confirmed only 72 (59.02%) 122 consecutive RT-PCR P.1/B.1.351 candidates. Prescreening RT-PCRs must target a wider set mutations, updated from WGS data emerging variants.