ABSTRACT: Early Diagnosis of Streptococcus cristatus in Blood Culture-Negative Infective Endocarditis by Capture-Based Metagenomic Next-Generation Sequencing: A Case Report
Project description:Infective endocarditis is a severe disease caused by the infection of heart valves and endocardium by pathogenic germ. Antimicrobial therapy and surgery remain the basis of treatment, and up to 50% of the patients require surgical replacement of the affected valves to control the infectious source. The objective of this work is to identify the existence of endotypes in a prospective cohort of patients with infective endocarditis. We performed a bulk RNA-seq form peripheral blood to cluster patients according to their transcriptomic profiles at diagnosis and during their follow-up. Clinical data, outcomes and response to surgery were assessed in a cluster-specific manner, in order to identify differences in the pathogenesis that could help to find personalized treatments and improve the outcome.
Project description:Infective endocarditis is a severe disease caused by the infection of heart valves and endocardium by pathogenic germ. Antimicrobial therapy and surgery remain the basis of treatment, and up to 50% of the patients require surgical replacement of the affected valves to control the infectious source. The objective of this work is to identify the existence of endotypes in a prospective cohort of patients with infective endocarditis. We performed a bulk RNA-seq form peripheral blood to cluster patients according to their transcriptomic profiles at diagnosis and during their follow-up. Clinical data, outcomes and response to surgery were assessed in a cluster-specific manner, in order to identify differences in the pathogenesis that could help to find personalized treatments and improve the outcome.
Project description:Infective endocarditis, a life-threatening condition, poses significant challenges for early diagnosis and personalized treatment due to insufficient biomarkers and limited understanding of its pathophysiology. Here, we analyzed plasma and vegetation proteomes from 238 patients with infective endocarditis and 100 controls, with two external validation cohorts. We developed machine learning-based diagnostic and prognostic models for infective endocarditis, with area under the curve values of 0.98 and 0.87, respectively. Leucine-rich alpha-2-glycoprotein 1 and NADH:ubiquinone oxidoreductase subunit B4 are potential biomarkers associated with infection severity. Pathologically, protein networks characterized by glycometabolism, amino acid metabolism, and adhesion are linked to adverse events. Liver dysfunction may exacerbate the condition in patients with severe heart failure. Neutrophil extracellular traps emerge as promising therapeutic targets in Streptococcus or Staphylococcus aureus infections. Collectively, our findings provide significant insights into biomarker discovery and underlying pathophysiological mechanisms in infective endocarditis, advancing early diagnosis and personalized medicine.
Project description:Application of Loop-Mediated Isothermal Amplification and Next-Generation Sequencing in the Diagnosis of Maternal Tuberculosis with Multiple Negative Tests: A Case Report
| PRJNA755812 | ENA
Project description:An endocarditis caused by Thalassospira sp.: a case report
