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Volatile organic compounds : a potential biomarker for prediction of hypertension

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Azharian, Sahar, Neal, Matthew, Kyrou, Iannos, Piya, Milan K., Kumar, Sudhesh, Covington, James A., McTernan, P. G. (Philip G.), Vrbikova, J., Hainer, V., Sramkova, P. and Fried, M. (2016) Volatile organic compounds : a potential biomarker for prediction of hypertension. In: Society for Endocrinology BES 2016, Brighton, UK, 07-09 Nov 2016 . Published in: Endocrine Abstracts, 44 doi:10.1530/endoabs.44.P110 ISSN 1479-6848.

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Official URL: http://dx.doi.org/10.1530/endoabs.44.P110

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Abstract

Background: Human obesity can significantly contribute to hypertension risk, often referred to as the ‘silent killer’, although targeting whom with weight gain becomes clinically hypertensive is unclear. Whilst therapeutic intervention such as bariatric surgery can mitigate both obesity and hypertension, it is not the most suitable solution for all patients. Therefore an early biomarker detection system to assess hypertension in subjects with weight gain could reduce mortality risk. Such a platform could be developed through a urine centred biomarker system identifying disease related signatures based upon volatile organic compounds (VOCs). The focus of this study was to determine whether urinary VOCs could be used as a potential monitoring tool for detection of blood pressure change in obese- hypertensive bariatric patients.

Methodology: Pre-surgery urine of 23 obese female patients undergoing bariatric surgery was analysed by Field-Asymmetric Ion Mobility Spectrometer (FAIMS). The data was processed by dividing the cohort into two classifications (high and low) based on individual median values: systolic and diastolic blood pressure, mean arterial pressure (MAP), C-reactive protein (CRP) and heart rate. Support Vector Machine (SVM) classifiers were trained with features selected using the Wilcoxon rank sum test. Performance was assessed using 10-fold cross-validation and the area under the ROC curve (AUC).

Results: FAIMS urinary VOC analysis highlighted a significant association with blood pressure markers as determined by systolic (ROC curve AUC: 0.918, P<0.001), MAP (AUC: 0.845 P<0.001), CRP (AUC: 0.932, P<0.001) and heart rate (AUC: 0.945, P<0.001); whilst diastolic did not attain significance (AUC: 0., P=N.S). Additionally the VOCs have predicted change in blood pressure factors 6 months post surgery.

Conclusion: This study suggests that urinary VOCs can be used for monitoring change in blood pressure in bariatric patients, additionally this technique could be utilised as a novel-screening tool for prediction of hypertension risk in subjects

Item Type: Conference Item (Other)
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences
Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title: Endocrine Abstracts
Publisher: Bioscientifica
ISSN: 1479-6848
Official Date: November 2016
Dates:
DateEvent
November 2016Published
Volume: 44
Article Number: 110
DOI: 10.1530/endoabs.44.P110
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Other
Title of Event: Society for Endocrinology BES 2016
Type of Event: Conference
Location of Event: Brighton, UK
Date(s) of Event: 07-09 Nov 2016

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