Identification of a Specific Biomarker of Acinetobacter baumannii Global Clone 1 by Machine Learning and PCR Related to Metabolic Fitness of ESKAPE Pathogens

• DOI: 10.1128/msystems.00734-22
• Publication Date: 2023-05-15T14:18:07Z
• Authors: Verónica Elizabet...; María Paula Quiroga; Daniela Centrón
• Keywords: Acinetobacter baumannii; 0301 basic medicine; Biological Agents for Bioterrorism; BIOMARKERS; GC1; FOS: Basic medicine; HIGH-RISK CLONES; Prediction of Peptide-MHC Binding Affinity; clone (Java method); Polymerase Chain Reaction; Microbiology; Gene; Global Challenge of Antibiotic Resistance in Bacteria; Computational biology; Identification (biology); 03 medical and health sciences; https://purl.org/becyt/ford/1.6; Biochemistry, Genetics and Molecular Biology; ESKAPE pathogens; Genetics; Humans; https://purl.org/becyt/ford/1.2; https://purl.org/becyt/ford/1; Molecular Biology; Biology; ESKAPE PATHOGENS; Cross Infection; Bacteria; Ecology; ESKAPE Pathogens; biomarkers; Life Sciences; QR1-502; Anti-Bacterial Agents; 3. Good health; machine learning; PCR; FOS: Biological sciences; Pseudomonas aeruginosa; Molecular Medicine; ACINETOBACTER BAUMANNII; MACHINE LEARNING; METABOLIC FITNESS; Biomarkers; Research Article

A. baumannii GC1 is an important high-risk clone that rapidly develops extreme drug resistance in the nosocomial niche. Furthermore, several strains have been identified worldwide in environmental samples, exacerbating the risk of human interactions.