Exploring endotypes in chronic rhinosinusitis (ExpRess): Protocol for a cohort study

Gokani, Shyam Ajay, Jefferson, Matthew, Gavrilovic, Jelena ORCID: https://orcid.org/0000-0002-5312-1784, Clark, Allan ORCID: https://orcid.org/0000-0003-2965-8941, Hildebrand, Falk, Wileman, Tom, Hopkins, Claire and Philpott, Carl ORCID: https://orcid.org/0000-0002-1125-3236 (2023) Exploring endotypes in chronic rhinosinusitis (ExpRess): Protocol for a cohort study. PLoS One, 18 (8). ISSN 1932-6203

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Abstract

BACKGROUND: Chronic Rhinosinusitis (CRS) affects approximately 1 in 10 UK adults and impacts quality of life quality of life significantly. Response to treatment may be driven by individual CRS endotypes and therefore work to delineate biomarker clusters that may separate responders from non-responders is needed. The ongoing MACRO three-arm parallel-group trial randomises adult CRS patients to endoscopic sinus surgery, macrolide therapy or placebo. AIM: This study aims to correlate CRS endotypes with clinical parameters from the ongoing MACRO trial, including olfactory function and outcomes in terms of response to treatment using core biomarkers sets. METHODS: Adult CRS patients enrolled into the MACRO trial will be recruited from participating UK otorhinolaryngology departments. Nasal tissue samples and swabs will be obtained in theatre or clinic from patients randomised to all three trial arms. Nasal tissue will be analysed with multiplex electrochemiluminescence for 32 cytokines including IL-5, IL-13, IgE and periostin. Bacterial swabs will be analysed using illumina miSeq 16S amplicon sequencing. Mean expression for each biomarker will be reported for treatment responder and non-responder groups. Correlation of biomarkers with MACRO trial outcome data such as endoscopic evaluation scores and quality-of-life improvement scores will be reported. DISCUSSION: Defining clear endotypes in CRS will contribute to refining patient pathways for the efficient use of clinical resources. This work may lay the groundwork for future studies to predict which patients might respond to medical or surgical therapy.

Item Type: Article
Additional Information: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Uncontrolled Keywords: general ,/dk/atira/pure/subjectarea/asjc/1000
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Faculty of Science > School of Biological Sciences
UEA Research Groups: Faculty of Science > Research Groups > Cells and Tissues
Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit
Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care
Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health
Faculty of Medicine and Health Sciences > Research Groups > Gastroenterology and Gut Biology
Faculty of Medicine and Health Sciences > Research Groups > Respiratory and Airways Group
Faculty of Medicine and Health Sciences > Research Centres > Population Health
Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 21 Aug 2023 10:30
Last Modified: 28 Oct 2023 01:22
URI: https://ueaeprints.uea.ac.uk/id/eprint/92897
DOI: 10.1371/journal.pone.0289407

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