How can a precise characterisation of microbial communities result in the development of new strategies against biofilm-associated infections?

What is this research project about?

Biofilme: There is a lack of treatment options for infections associated with them.

What is this research project about?

Bacteria in biofilms are embedded in a self-produced extracellular matrix and exhibit an increased resistance to adverse conditions. In the human host, biofilm bacteria are responsible for persistent infections and efficiently withstand antibiotic treatment and the host immune response. Once a bacterial biofilm infection is established it becomes very difficult to eradicate, even in the absence of genotypic resistance. Biofilm infections affect millions of people and every year chronic infections in patients due to biofilm formation are a multi-billion Euro burden to national healthcare systems. With progress of medical sciences, more and more indwelling devices for the purpose of medical treatments and foreign body implants are applied. Infection continues to be a major complication of their use. Also, there are biofilm infections not associated with foreign bodies, such as chronic infections of the lungs of cystic fibrosis patients and of patients with chronic obstructive pulmonary diseases. Ongoing inflammation and changes in the structure and function of the affected tissue largely determine morbidity and mortality in these patients.

We want to identify biomarkers whose presence is correlated with the resistance of the Pseudomonas aeruginosa biofilm and genetic / metabolic patterns and which characterize the switch to the establishment of pathogenic biofilms on implants. This will serve to develop a diagnostic tool for biofilm resistance and disease excitation Profiling and innovative treatment strategies targeting biofilm resistance mechanisms.

What’s the current status?

Although chronic biofilm-associated infections have been extensively studied, there are many open questions and the general recalcitrance of biofilm-grown bacteria is only incompletely understood. The successful use of antibiotics to eradicate biofilm-associated infection relies on our ability to overcome several main problems. First, for a more targeted anti-biofilm therapy, knowledge on the biofilm-specific resistance profile of individual bacterial isolates is essential, as well as knowledge on when natural colonizing bacterial communities transition to pathogenic biofilms e.g. on implants. In addition, new therapy options will have to be developed to overcome the second limitation of current treatment, which is the general recalcitrance of biofilm populations.

Biofilms of clinical idolates of Pseudomonas aeruginosa, living cells are green, dead cells are red. Source: TWINCORE / Jann Thöming

What are the project goals?

The combination of detailed information of the infecting pathogens with advanced phenotypic and genotypic profiling methodologies holds considerable promise for improving strategies to combat chronic biofilm-associated infections. Knowledge on etiological mechanisms underlying the evolution of biofilm resistance has the promise to change the way physicians treat chronic infections. This work is undertaken with the view to address a critical unmet medical need and to provide the necessary conditions to develop effective individualized diagnostic and therapeutic intervention strategies for the control of biofilm-associated infections.

How do we get there?

Our research groups have established extensive expertise in the analysis of the structure, assembly and microbiological diversity of medical biofilms, and have applied methodologies including DNA/RNA sequencing and machine learning approaches to describe the genomic and transcriptional landscape of infecting pathogens in vitro and ex vivo. Within RESIST we want to transfer gained knowledge and experience from our work on bacterial biofilms and establish a genome-based prediction of bacterial phenotypes by integrating complex OMICS-data also using machine learning classifiers, phylogenomic clustering and feature selection techniques.

Biofilms of clinical idolates of Pseudomonas aeruginosa, living cells are green, dead cells are red. Source: TWINCORE / Jann Thöming

Projectleaders

Project title: Biofilm Profling

Prof. Dr. Alice McHardy

Projekt: B2, B10, C1

CV & Contact

Prof. Dr. Susanne Häußler

Projekte: C1, C2

CV & Contact

Prof. Dr. Meike Stiesch

Projekte: C1, C2

CV & Contact

Project C1 Publications

Publications from the Year 2021

Quo vadis clinical diagnostic microbiology? Haag S, Häussler S. Clin Microbiol Infect. 2021 Jul 26:S1198-743X(21)00404-3. doi: 10.1016/j.cmi.2021.07.013. Online ahead of print. PMID: 34325069 No abstract available.

Removable denture is a risk indicator for peri-implantitis and facilitates expansion of specific periodontopathogens: a cross-sectional study. Grischke J, Szafrański SP, Muthukumarasamy U, Haeussler S, Stiesch M. BMC Oral Health. 2021 Apr 1;21(1):173. doi: 10.1186/s12903-021-01529-9. PMID: 33794847 Free PMC article.

Publications from the Year 2020

Targeting bioenergetics is key to counteracting the drug-tolerant state of biofilm-grown bacteria. Donnert M, Elsheikh S, Arce-Rodriguez A, Pawar V, Braubach P, Jonigk D, Haverich A, Weiss S, Müsken M, Häussler S.PLoS Pathog. 2020 Dec 22;16(12):e1009126. doi: 10.1371/journal.ppat.1009126. Epub ahead of print. PMID: 33351859.

Expression of the MexXY Aminoglycoside Efflux Pump and Presence of an Aminoglycoside-Modifying Enzyme in Clinical Pseudomonas aeruginosa Isolates Are Highly CorrelatedSeupt A, Schniederjans M, Tomasch J, Häussler S.  Antimicrob Agents Chemother. 2020 Dec 16;65(1):e01166-20. doi: 10.1128/AAC.01166-20. PMID: 33046496.

Evolution of Pseudomonas aeruginosa toward higher fitness under standard laboratory conditions. Grekov I, Thöming JG, Kordes A, Häussler S. ISME J. 2020 Dec 3. doi: 10.1038/s41396-020-00841-6. Epub ahead of print. PMID: 33273720.

Analysis of the organization and expression patterns of the convergent Pseudomonas aeruginosa lasR/rsaL gene pair uncovers mutual influence. Schinner S, Preusse M, Kesthely C, Häussler S. Mol Microbiol. 2020 Oct 19. doi: 10.1111/mmi.14628. Epub ahead of print. PMID: 33073409.

Host-induced spermidine production in motile Pseudomonas aeruginosa triggers phagocytic uptake. Felgner S, Preusse M, Beutling U, Stahnke S, Pawar V, Rohde M, Brönstrup M, Stradal T, Häussler S. Elife. 2020 Sep 22;9:e55744. doi: 10.7554/eLife.55744. PMID: 32960172; PMCID: PMC7538158.

Organism-specific depletion of highly abundant RNA species from bacterial total RNA. Engelhardt F, Tomasch J, Häussler S.  Access Microbiol. 2020 Sep 9;2(10):acmi000159. doi: 10.1099/acmi.0.000159. PMID: 33195973; PMCID: PMC7660241.

Parallel evolutionary paths to produce more than one Pseudomonas aeruginosa biofilm phenotype. Thöming JG, Tomasch J, Preusse M, Koska M, Grahl N, Pohl S, Willger SD, Kaever V, Müsken M, Häussler S. NPJ Biofilms Microbiomes. 2020 Jan 10;6:2. doi: 10.1038/s41522-019-0113-6.

Publications from the Year 2019

Establishment of an induced memory response in Pseudomonas aeruginosa during infection of a eukaryotic host. Kordes A, Grahl N, Koska M, Preusse M, Arce-Rodriguez A, Abraham WR, Kaever V, Häussler S. ISME J. 2019 Aug;13(8):2018-2030. doi: 10.1038/s41396-019-0412-1.

Genetically diverse Pseudomonas aeruginosa populations display similar transcriptomic profiles in a cystic fibrosis explanted lung. Kordes A, Preusse M, Willger SD, Braubach P, Jonigk D, Haverich A, Warnecke G, Häussler S. Nat Commun. 2019 Jul 30;10(1):3397. doi: 10.1038/s41467-019-11414-3. PMID: 31363089

Project C1
Publications