tesG expression as a potential clinical biomarker for chronic Pseudomonas aeruginosa pulmonary biofilm infections.

IF 7 1区医学 Q1 MEDICINE, GENERAL & INTERNAL

BMC Medicine Pub Date : 2025-03-31 DOI:10.1186/s12916-025-04009-x

Dhammika Leshan Wannigama, Cameron Hurst, Peter N Monk, Gunter Hartel, William Graham Fox Ditcham, Parichart Hongsing, Phatthranit Phattharapornjaroen, Puey Ounjai, Pattama Torvorapanit, Kamonwan Jutivorakool, Sirirat Luk-In, Sumanee Nilgate, Ubolrat Rirerm, Chanikan Tanasatitchai, Kazuhiko Miyanaga, Longzhu Cui, Naveen Kumar Devanga Ragupathi, S M Ali Hosseini Rad, Aisha Khatib, Robin James Storer, Hitoshi Ishikawa, Mohan Amarasiri, Somrat Charuluxananan, Asada Leelahavanichkul, Talerngsak Kanjanabuch, Paul G Higgins, Jane C Davies, Stephen M Stick, Anthony Kicic, Tanittha Chatsuwan, Kenji Shibuya, Shuichi Abe

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引用次数: 0

Abstract

Background: Pseudomonas aeruginosa infections in the lungs affect millions of children and adults worldwide. To our knowledge, no clinically validated prognostic biomarkers for chronic pulmonary P. aeruginosa infections exist. Therefore, this study aims to identify potential prognostic markers for chronic P. aeruginosa biofilm lung infections.

Methods: Here, we screened the expression of 11 P. aeruginosa regulatory genes (tesG, algD, lasR, lasA, lasB, pelB, phzF, rhlA, rsmY, rsmZ, and sagS) to identify associations between clinical status and chronic biofilm infection.

Results: RNA was extracted from 210 sputum samples from patients (n = 70) with chronic P. aeruginosa lung infections (mean age; 29.3-56.2 years; 33 female). Strong biofilm formation was correlated with prolonged hospital stays (212.2 days vs. 44.4 days) and increased mortality (46.2% (18)). Strong biofilm formation is associated with increased tesG expression (P = 0.001), influencing extended intensive care unit (P = 0.002) or hospitalisation stays (P = 0.001), pneumonia risk (P = 0.006), and mortality (P = 0.001). Notably, tesG expression is linked to the modulation of systemic and sputum inflammatory responses and predicts biofilm biomass.

Conclusions: This study provides the first clinical dataset of tesG expression levels as a predictive biomarker for chronic P. aeruginosa pulmonary infections.

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来源期刊

BMC Medicine 医学-医学：内科

CiteScore

13.10

自引率

1.10%

发文量

435

审稿时长

4-8 weeks

期刊介绍： BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.