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Background <p><i>Pseudomonas aeruginosa</i> infections in the lungs affect millions of children and adults worldwide. To our knowledge, no clinically validated prognostic biomarkers for chronic pulmonary <i>P. aeruginosa</i> infections exist. Therefore, this study aims to identify potential prognostic markers for chronic <i>P. aeruginosa</i> biofilm lung infections.</p> Methods <p>Here, we screened the expression of 11 <i>P. aeruginosa</i> regulatory genes (<i>tesG</i>, <i>algD</i>, <i>lasR</i>, <i>lasA</i>, <i>lasB</i>, <i>pelB</i>, <i>phzF</i>, <i>rhlA</i>, <i>rsmY</i><i>, </i><i>rsmZ</i>, and <i>sagS</i>) to identify associations between clinical status and chronic biofilm infection.</p> Results <p>RNA was extracted from 210 sputum samples from patients (<i>n</i> = 70) with chronic <i>P. aeruginosa</i> lung infections (mean age; 29.3–56.2&#xa0;years; 33 female). Strong biofilm formation was correlated with prolonged hospital stays (212.2&#xa0;days vs. 44.4&#xa0;days) and increased mortality (46.2% (18)). Strong biofilm formation is associated with increased <i>tesG</i> expression (<i>P</i> = 0.001), influencing extended intensive care unit (<i>P</i> = 0.002) or hospitalisation stays (<i>P</i> = 0.001), pneumonia risk (<i>P</i> = 0.006), and mortality (<i>P</i> = 0.001). Notably, <i>tesG</i> expression is linked to the modulation of systemic and sputum inflammatory responses and predicts biofilm biomass.</p> Conclusions <p>This study provides the first clinical dataset of <i>tesG</i> expression levels as a predictive biomarker for chronic <i>P. aeruginosa</i> pulmonary infections.</p>

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

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  • 发表日期：

    2025年3月31日

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  • 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

摘要

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.