Raman spectroscopic molecular fingerprinting of biomarkers for inflammatory bowel disease

Emma Buchan, Jonathan James Stanley Rickard, Pola Goldberg Oppenheimer*

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

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Abstract

Inflammatory bowel diseases (IBDs) are increasingly dif-ficult to diagnose and differentiate despite serologicaltesting, endoscopic and histopathological assessments. Nosingle biomarker exists to predict IBD in a timely man-ner. We have developed a spectral library of candidateIBD-biomarkers,establishingcharacteristicmolecularbar-codes, through a combination of multiplex spectroscopicprofiling simultaneously detecting a panel of identifiedbiomarkers with an advanced artificial intelligence (AI)networkandclassifyingpatientsaccordingtodiseasestate.This lays the platform for rapidly and non-invasivelydetecting IBD and discriminating between the subtypesfor timely diagnoses, biomarker discovery, patient strati-fication and further potential significant developments ofdiagnostic methodologies and therapeutic monitoring
Original languageEnglish
Article numbere1345
Number of pages6
JournalClinical and Translational Medicine
Volume13
Issue number11
DOIs
Publication statusPublished - 3 Nov 2023

Bibliographical note

Acknowledgments:
We acknowledge funding from the Wellcome Trust (174ISSFPP) and the EPSRC (EP/W004593/1, EP/V029983/1). We would like to thank Dr Jinglei Yu for assisting with the mass spectrometry data analysis.

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