Areca alkaloids measured from buccal cells using DART‐MS serve as accurate biomarkers for areca nut chewing. Issue 6 (17th April 2019)
- Record Type:
- Journal Article
- Title:
- Areca alkaloids measured from buccal cells using DART‐MS serve as accurate biomarkers for areca nut chewing. Issue 6 (17th April 2019)
- Main Title:
- Areca alkaloids measured from buccal cells using DART‐MS serve as accurate biomarkers for areca nut chewing
- Authors:
- Franke, Adrian A.
Biggs, Laura
Yew, Joanne Y.
Lai, Jennifer F. - Abstract:
- Abstract: Background: Areca nut (AN) chewing is carcinogenic and biomarkers reflecting it are urgently needed to determine the effectiveness of emergent cessation programs. Buccal cells (BCs) may serve as an ideal matrix to measure such biomarkers; however, their utility for this purpose is unknown. Direct analysis in real time−mass spectrometry (DART−MS) is a sensitive technique that analyzes materials in the open air and requires minimal/no sample preparation. We utilized DART−MS to analyze BCs to test the usefulness of this method in measuring areca alkaloids as biomarkers for AN chewing. Methods: We applied DART−MS in positive‐ion mode to quantitate over time human BCs: (a) exposed ex vivo to betel quid extracts (BQE) consisting of young AN, Piper betle L. leaf, slaked lime, and tobacco; and (b) obtained from seven chewers before and after BQ chewing. Quantification was performed by normalizing DART−MS alkaloid signal intensities to cholesterol intensities. Results: Signals for areca alkaloids arecoline and arecaidine‐guvacoline were detected in BCs exposed ex vivo to BQE up to 7 days (the last day tested) after exposure and in BCs from chewers up to 3 days (the last day tested) post chewing. Discussion: The presence of alkaloid signals in BQ‐exposed BCs verified BCs as a valid matrix and DART−MS as a suitable technique to measure biomarkers for AN chewing and provided reliable information on AN chewing timing. Conclusion: DART−MS analyses of BCs can be used toAbstract: Background: Areca nut (AN) chewing is carcinogenic and biomarkers reflecting it are urgently needed to determine the effectiveness of emergent cessation programs. Buccal cells (BCs) may serve as an ideal matrix to measure such biomarkers; however, their utility for this purpose is unknown. Direct analysis in real time−mass spectrometry (DART−MS) is a sensitive technique that analyzes materials in the open air and requires minimal/no sample preparation. We utilized DART−MS to analyze BCs to test the usefulness of this method in measuring areca alkaloids as biomarkers for AN chewing. Methods: We applied DART−MS in positive‐ion mode to quantitate over time human BCs: (a) exposed ex vivo to betel quid extracts (BQE) consisting of young AN, Piper betle L. leaf, slaked lime, and tobacco; and (b) obtained from seven chewers before and after BQ chewing. Quantification was performed by normalizing DART−MS alkaloid signal intensities to cholesterol intensities. Results: Signals for areca alkaloids arecoline and arecaidine‐guvacoline were detected in BCs exposed ex vivo to BQE up to 7 days (the last day tested) after exposure and in BCs from chewers up to 3 days (the last day tested) post chewing. Discussion: The presence of alkaloid signals in BQ‐exposed BCs verified BCs as a valid matrix and DART−MS as a suitable technique to measure biomarkers for AN chewing and provided reliable information on AN chewing timing. Conclusion: DART−MS analyses of BCs can be used to accurately determine areca alkaloids as AN chewing biomarkers up to 3 days post chewing and possibly longer. Abstract : Using DART–MS in positive ion mode, we detected signals for areca alkaloids arecoline and arecaidine‐guvacoline in buccal cells exposed ex vivo to betel quid extracts up to 7 days (the last day tested) after exposure and in buccal cells from chewers up to 3 days (the last day tested) post betel quid chewing, which verified buccal cells as a valid matrix and DART–MS as a suitable technique to measure biomarkers for areca nut chewing. a.u. = arbitrary units. … (more)
- Is Part Of:
- Drug testing and analysis. Volume 11:Issue 6(2019)
- Journal:
- Drug testing and analysis
- Issue:
- Volume 11:Issue 6(2019)
- Issue Display:
- Volume 11, Issue 6 (2019)
- Year:
- 2019
- Volume:
- 11
- Issue:
- 6
- Issue Sort Value:
- 2019-0011-0006-0000
- Page Start:
- 906
- Page End:
- 911
- Publication Date:
- 2019-04-17
- Subjects:
- areca nut -- biomarkers -- alkaloids -- buccal cells -- direct analysis in real time mass spectrometry
Drugs -- Analysis -- Periodicals
Drug testing -- Periodicals
Chemistry, Forensic -- Periodicals
615.1901 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-7611 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=110501 ↗
http://www3.interscience.wiley.com/journal/121408477/home ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/dta.2585 ↗
- Languages:
- English
- ISSNs:
- 1942-7603
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3629.424000
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British Library STI - ELD Digital store - Ingest File:
- 10861.xml