Threat and Control of tet(X)-Mediated Tigecycline-Resistant Acinetobacter sp. Bacteria

Area of Science:

• Microbiology
• Genetics
• One Health

Background:

• Tigecycline is a crucial antibiotic for multidrug-resistant (MDR) Acinetobacter.
• Emergence of tigecycline-resistant Acinetobacter mediated by tet(X) genes poses a global health threat.
• Lack of systematic discussion on tet(X) gene diversity and treatment options under the One Health framework.

Purpose of the Study:

• To comprehensively review the evolution, distribution, transmission, and detection of tet(X) genes in Acinetobacter species.
• To explore various therapeutic strategies for controlling tet(X)-positive Acinetobacter pathogens.
• To highlight the potential of deep learning in discovering novel antimicrobial compounds.

Main Methods:

• Literature review focusing on tet(X) genes in Acinetobacter.
• Analysis of genetic diversity, geographical distribution, and horizontal gene transfer mechanisms.
• Evaluation of chemical drugs, plant extracts, bacteriophages, antimicrobial peptides (AMPs), and CRISPR-Cas systems for therapeutic applications.

Main Results:

• Detailed illustration of tet(X) gene evolution, distribution, and detection methods.
• Discussion of diverse control strategies including conventional drugs and novel approaches like phages and AMPs.
• Identification of deep learning as a promising avenue for antimicrobial discovery.

Conclusions:

• tet(X)-mediated tigecycline resistance in Acinetobacter is a growing concern requiring integrated One Health strategies.
• Various therapeutic options show promise but require further evaluation for efficacy and safety.
• Advanced computational methods like deep learning offer potential for future antimicrobial development.