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Background: Survival in Granzyme A gene (gzmA) knocked-out mice was significantly longer than in wild-type mice in a murine peritonitis model (cecal ligation puncture).
Hypothesis: GZM A has a pathogenic role in sepsis in humans and gzmA polymorphisms can help to predict the risk of sepsis among patients with systemic infections (E. coli bacteremic urinary tract infections).
Objectives:
Methods:
Full description
The research team has explored the role of GZM A
Conceptual hypothesis:
Operational hypothesis:
Among patients with bacteremic (E. coli) urinary tract infections (UTIs), GZM A levels are significantly higher in those patients who develop sepsis as compared with those who do not develop sepsis.
There are significant differences in the GZM A gene polymorphism profile of patients with bacteremic (E. coli) UTIs who develop sepsis as compared with those who do not develop sepsis.
Aims
Objectives
To evaluate the correlation between serum levels of GZM A and systemic inflammatory response in patients with bacteremic (E. coli) UTIs.
To characterize GZM A gene polymorphisms among patients with bacteremic (E. coli) UTIs
To assess GZM A serum kinetics among patients with bacteremic (E. coli) UTIs
To phenotypically and molecularly characterize E. coli strains causing bacteremic UTIs, including their virulence factors ("virulome").
Expected outcomes.
Characterization of the pathogenic role of GZM A in sepsis in patients with systemic infections
Characterization of GZM A as a sepsis biomarker in a human model of infection-sepsis.
Phenotypical and molecular characterization of uropathogenic E. coli causing bloodstream infections.
4.1. Design and project scope
4.2. Study period: June 2019 - December 2020.
4.3. Patients and sample size
Inclusion criteria (To meet all):
Age >= 18 years old.
E. coli bloodstream infection
Urinary source. Urinary source should be considered if (any) of the following:
Exclusion criteria:
Use of systemic antibiotics for >48h in the two months preeeding the episode.
Immunocompromised hosts - Patients receiving systemic steroid use (>10 mg prednisone/day during 10 or more days in the previous 2 months).
Basal urinary tract abnormalities or locally modified vesical microbiome (any):
Potential candidates will be detected daily by the microbiologists on the research team. Inclusion criteria will be verified in the multidisciplinary meeting that antimicrobial stewardship teams (AST) conduct on a daily basis at the participating hospital.
Estimated size of the study population. Matching:
50 patients with a sepsis/ non sepsis 1:1 ratio will be included.
Septic and non-septic patients will be matched on gender, age (+/- 10 years), comorbidity (Charlson score +/-1), time symptom onset to blood culture (+/- 24h)
4.4. Definitions
Cases (sepsis / septic shock):
Controls:
4.5. Variables
4.5.1. Patient-related variables:
4.5.2. Infection-related variables.
Time from the onset of symptoms to the start of antimicrobial treatment.
Time from the onset of symptoms to the start of appropriate antimicrobial treatment.
Time form the onset of symptoms to the surgical therapy (if needed).
4.5.3. Inflammation, sepsis mediators and biomarkers. - The following biomarkers will be determined during patient enrollment: - White blood cell count and differential. - Platelet count. - Fibrinogen. - Prothrombin activity.
GZM A serum levels will be obtained in all patients during the enrollment visit, the 2-3 day and the 30 day visits (GZM A kinetics). GZM A levels will be determined by an ELISA commercial assay (Human Granzyme A ELISA development kit{HRP]; Mabtech).
GzmA gene polymorphisms, as well as other potentially associated mutations, will be screened by Whole Exome Sequencing (WES). To this aim, we will use DNA isolated from peripheral blood cells and the AmpliSeq technology kit on the Ion Torrent platform following the manufacturer's instructions. This platform is available at the Genomics Central Research Unit (CRU) at CIBA from University of Zaragoza/IIS Aragon. All kits for isolating and analyzing DNA samples are commercially available and optimized by Thermo Scientific. Bioninformatic analysis will be performed by an agreement established between Genomics CRU and Micromics SL led by Pedro Gonzalez at CRG in Barcelona.
4.5.4. Microbiological variables
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
50 participants in 2 patient groups
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Central trial contact
Elena Morte, MD; José R Paño-Pardo, MD
Data sourced from clinicaltrials.gov
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