Identifiction of IBD using an electronic e-nose Gastroenterology: Arasaradnam RP 1,2 -...
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Identifiction of IBD using an electronic e-nose Gastroenterology: Arasaradnam RP 1,2 - [email protected] Engineering: Covington JA3, - [email protected] 1University Hospital Coventry & Warwickshire & 2Clinical Sciences Research Institute, Medical School, University of Warwick 3School of Engineering, University of Warwick, 11 th BROAD Meeting, Los Angeles – March 2013 1
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Transcript of Identifiction of IBD using an electronic e-nose Gastroenterology: Arasaradnam RP 1,2 -...
Identifiction of IBD using an electronic e-nose
Gastroenterology: Arasaradnam RP1,2 - [email protected]
Engineering: Covington JA3, - [email protected]
1University Hospital Coventry & Warwickshire & 2Clinical Sciences Research Institute, Medical School,
University of Warwick3School of Engineering, University of Warwick,
11th BROAD Meeting, Los Angeles – March 2013
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Before PEG: 13 / 20 markers 11 weeks after PEG: 4 / 20 markers
Distal UC; proximal constipationPL, age 64
Cow 100%
Horse 100%
Cow 50%
Saw dust 50%
--horse-oid!
Arasaradnam et al 2009
‘Smell’ @ WarwickFirst research group dedicated to the sense
of smellFirst company making artificial olfaction
instrumentsFirst commercial products manufactured
here…Long history of smell research…
Life in ‘Smell’
Persaud & Dodd Nature 1982
Volatile organic compounds (VOCs)Disease alters gut flora - altered
fermentation patterns which alters
the composition of gases emitted
from urine
Organic compounds that have high
vapour pressure at normal room
temperature.
Mainly from colonic fermentation by
gut bacteria and partly from
physiological metabolic processes
Released in breath, urine, faeces,
blood
A potential diagnostic biomarker in
IBD
Study design62 subjects – 3 groupsUrine collected and analysed using E-nose and
FAIMSData analysed using Principal Component
analysisCrohnsRemissio
n
UC Remissio
n
Crohns Flare
UC Flare
Controls
Number 20 20 4 4 14
Mean Age (sd)
50 (11.4) 56 (15.8) 39 (10.3) 42 (16.6)
32 (8.2)
Sex: M/F 12:8 10:10 3:1 4:0 5/9
Mean BMI (sd)
25 (5.9) 28 (4.3) 22 (4.2) 25 (3.6)
Arasaradnam et al 2013
Laptop
James - To add composite data from previous IBD analysis?
E-nose sensor response
Arasaradnam et al 2013
Results – E nose
Discriminant Function (DF) Analysis of Fox 4000 data
Arasaradnam et al 2013
Conclusions
Clear disease separation between controls, ulcerative
colitis and Crohn’s disease
Able to detect between disease flares and remission
VOC correlation with GC/MS
Potential first line diagnostic modality in patients with
suspected IBD
Inexpensive novel tool, non invasive and potentially
provides point of care diagnosis
Arasaradnam et al 2013
