Laryngorhinootologie 2024; 103(S 02): S316
DOI: 10.1055/s-0044-1785068
Abstracts │ DGHNOKHC
Rhinology: Nasal cavity/Paranasal sinuses

Metabolic and transcriptomic profiling between eosinophilic and non-eosinophilic chronic rhinosinusitis: Understanding subtype-specific metabolomic differences

Philipp Kühnel
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Sharon Damnig
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Bernd Reger
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Judith Martha Neumann
2   Universität Bielefeld, Fakultät für Biologie / Proteom- und Metabolomforschung, Bielefeld
,
Holger Sudhoff
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Lars-Uwe Scholtz
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Ingo Todt
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
,
Karsten Niehaus
2   Universität Bielefeld, Fakultät für Biologie / Proteom- und Metabolomforschung, Bielefeld
,
Matthias Schürmann
1   Klinikum Bielefeld, Universitätsklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie, Bielefeld
› Author Affiliations
 

Intro Chronic Rhinosinusitis (CRS) comprises diverse inflammatory disorders, including eosinophilic (eCRS) and non-eosinophilic (neCRS) subtypes, each presenting unique immunological features. Understanding their metabolic and transcriptomic differences is vital for precise therapeutic strategies.

Matherial and methods Thus, we employed MALDI-ToF imaging and RNA Sequencing to delineate disparities in metabolism and transcriptome profiles in eCRS and neCRS. The study utilized MALDI-ToF imaging to spatially resolve and quantify metabolites within sinus tissues of eCRS (n=10) and neCRS (n=15) patients. RNA sequencing was employed to profile gene expression patterns in eCRS and neCRS samples.

Results The localization of metabolites within affected tissues provide insights into the metabolic microenvironment associated with eosinophilic and non-eosinophilic inflammation. Comparative transcriptomic analysis unveiled distinct gene expression profiles and underlying molecular pathways contributing to the pathogenesis of each subtype. By integrating metabolomic and transcriptomic data, correlations between metabolic alterations and gene expression changes associated with CRS subtypes were elucidated.

Conclusion The determined differences between eCRS and neCRS exhibit differential metabolic and transcriptomic landscapes. The identifyed subtype-specific metabolic and transcriptomic signatures could pave the way for new biomarkers and a tailored therapeutic interventions. Beyond this targeting identified metabolic pathways or genes from this study may offer precise treatments for CRS subtypes, improving patient outcomes.



Publication History

Article published online:
19 April 2024

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