Ferroptosis and iron-based therapies in Pseudomonas aeruginosa infections: From pathogenesis to treatment
Abstract
Pseudomonas aeruginosa is a globally prevalent multidrug-resistant pathogen that causes severe infections, particularly in immunocompromised individuals. This review focuses on the dual role of iron in P. aeruginosa infections: as a critical nutrient for bacterial growth and as a mediator of host cell ferroptosis, a form of iron-dependent cell death. We summarize how P. aeruginosa manipulates iron metabolism to induce ferroptosis in host cells, thereby promoting its own survival and pathogenicity. Additionally, we explore therapeutic strategies targeting iron metabolism, including interfering with acquisition of iron ions from the environment, disrupting bacterial iron metabolism and iron homeostasis, using ferroptosis inhibitors to suppress host cell ferroptosis, and employing high iron concentrations to induce bacterial ferroptosis. These insights provide innovative approaches to combat drug-resistant P. aeruginosa infections.
Read the paper
Related studies
- Association of lower urinary tract symptoms and OAB severity with quality of life and mental health in China, Taiwan and South Korea: results from a cross-sectional, population-based study
- Ten-Day Quadruple Therapy Comprising Low-Dose Rabeprazole, Bismuth, Amoxicillin, and Tetracycline Is an Effective and Safe First-Line Treatment for Helicobacter pylori Infection in a Population with High Antibiotic Resistance: a Prospective, Multicenter, Randomized, Parallel-Controlled Clinical Trial in China
- The Role of the NLR and PLR in Urinary Tract Infection
- Threat of Antimicrobial Resistance among Pilgrims with Infectious Diseases during Hajj: Lessons Learnt from COVID-19 Pandemic
- Leclercia adecarboxylata urinary tract infection in a patient with bladder cancer and recurrent hematuria
- A Case Series of Staphylococcus lugdunensis Infection in Cancer Patients at an Academic Cancer Institute in the United States
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.