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46 th ISEO 2015 Abstracts Nat. Volales & Essent. Oils, 2015; 2(3): 25 OP-01. A novel top-down approach to assess the anmicrobial acvity of 121 essenal oils against 8 diverse pathogenic bacteria and fungi Adam Feyaerts 1,2,* , Helene Tournu 1,2 , Yves Briers 3 , Daniele Pepe 4 , Rob Lavigne 3 , Walter Luyten 5 and Patrick Van Dijck 1,2 1 VIB Department of Molecular Microbiology, KU Leuven, Belgium 2 Laboratory of Molecular Cell Biology, KU Leuven, Kasteelpark Arenberg 31, 3001, Leuven, Belgium 3 Department of Biosystems, KU Leuven, 3001, Leuven, Belgium 4 Department of Chemistry, B6c, University of Liège, 4000 Liège, Belgium 5 Department of Pharmaceucal and Pharmacological Sciences, KU Leuven, 3000, Leuven, Belgium *Corresponding author. Email: [email protected] In this exploratory study the anmicrobial acvity (AMA) of 121 essenal oils (EOs) and 2 EO components (EOCs) were assessed against eight diverse human (mul-resistant) pathogenic bacteria and fungi. In general the bioacvity of EO(C)s is difficult to assess because they are intrinsically highly volale and poorly water-soluble. Therefore classical standardised assays such as the disk diffusion assay and the minimal inhibitory concentraon assay were first adapted and opmised before screening. In addion, as several microorganisms are capable of growing as a biofilm, where they are oſten less sensive to drugs, the AMA against fungi biofilm was also evaluated (Hood et al, 2003; Hyldgaard et al, 2012). Differences in the methods used to assess AMA of EOs and the choice of test organism(s) as well as the lack of detailed informaon about the composion of the EO(s) complicate the comparison between data from different publicaons. In a novel top-down approach, we assembled a library of 121 EOs whose composions are fully known, to invesgate their AMA in a comparable way. In silico data mining techniques, such as clustering and principal component analysis, were applied to chemical composion of the EOs and their corresponding biological acvity. The outcome was consistent with previous findings, hence validang not only this new approach but also confirming these earlier findings with the stronger stascal power of this study. As a direct result we could assign specific AMA to similar EOs and idenfy corresponding classes of EOCs. Moreover, we could idenfy at least one known EOC with an unknown interesng and specific AMA. However, we expect that the analysis of more complex paerns will uncover addional interesng bioacvies of EOCs. The applicaons of this method are diverse: (1) for an industrial applicaon, three dissimilar EOs were selected from various natural products aſter an in vitro evaluaon to replace some harmful synthec compounds, (2) combining the chemical and biological data with data mining makes it possible to predict the AMA of an EO with a known composion. Finally, the method is not limited to AMA data but can be applied to other bioacvity data. Keywords: essenal oil, anmicrobial acvity, clustering analysis, principal component analysis, biofilm. Acknowledgments This work was supported by a bilateral grants from FWO (G0D4813N) and the KU Leuven (BIL11/19T) to PVD. REFERENCES Hyldgaard M, Mygind T, Meyer RL (2012) Froners in Microbiology, 3:12. Hood JR, Wilkinson JM, Cavanagh HMA (2003) Journal of Essenal Oil Research, 15(6):428-433.

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Page 1: 4 5 Symposium Venue - COnnecting REpositories · 2017. 12. 2. · ESSENTIAL OILS 46th INTERNATIONAL SYMPOSIUM ON ESSENTIAL OILS 13-16 September 2015 ABSTRACTS NVEO Publisher: BADEBIO

ISEO 2014 Abstracts 9Nat. Vol. Essent. Oils, Special Issue 2014 /

Symposium VenueIstanbul University Congress Centre, Istanbul University Faculty of Pharmacy (İstanbul Üniversitesi Eczacılık Fakültesi)Süleymaniye Mh. 34116, Beyazıt – İstanbul Türkiyehttp://www.iseo2014.org/location.html

By https://www.google.com/maps/ President of ISEO 2014 Prof. Dr. K. Hüsnü Can Başer, [email protected]

Secretary of ISEO 2014 Prof. Dr. Fatih Demirci, [email protected]

Symposium Organizing Company Bilkon Turizm, e-mail: [email protected] Addr: Cinnah Cad. Gelibolu Sk. No:3/11 06680 Kavaklıdere / ANKARA Tel: 0090 312 466 1 466

46th ISEO 2015 Abstracts Nat. Volatiles & Essent. Oils, 2015; 2(3): 25

OP-01. A novel top-down approach to assess the antimicrobial activity of 121 essential oils against 8 diverse pathogenic bacteria and fungi Adam Feyaerts1,2,*, Helene Tournu1,2, Yves Briers3, Daniele Pepe4, Rob Lavigne3, Walter Luyten5 and Patrick Van Dijck1,2

1 VIB Department of Molecular Microbiology, KU Leuven, Belgium 2 Laboratory of Molecular Cell Biology, KU Leuven, Kasteelpark Arenberg 31, 3001, Leuven, Belgium 3 Department of Biosystems, KU Leuven, 3001, Leuven, Belgium 4 Department of Chemistry, B6c, University of Liège, 4000 Liège, Belgium 5 Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000, Leuven, Belgium

*Corresponding author. Email: [email protected]

In this exploratory study the antimicrobial activity (AMA) of 121 essential oils (EOs) and 2 EO components (EOCs) were assessed against eight diverse human (multi-resistant) pathogenic bacteria and fungi. In general the bioactivity of EO(C)s is difficult to assess because they are intrinsically highly volatile and poorly water-soluble. Therefore classical standardised assays such as the disk diffusion assay and the minimal inhibitory concentration assay were first adapted and optimised before screening. In addition, as several microorganisms are capable of growing as a biofilm, where they are often less sensitive to drugs, the AMA against fungi biofilm was also evaluated (Hood et al, 2003; Hyldgaard et al, 2012).

Differences in the methods used to assess AMA of EOs and the choice of test organism(s) as well as the lack of detailed information about the composition of the EO(s) complicate the comparison between data from different publications. In a novel top-down approach, we assembled a library of 121 EOs whose compositions are fully known, to investigate their AMA in a comparable way. In silico data mining techniques, such as clustering and principal component analysis, were applied to chemical composition of the EOs and their corresponding biological activity. The outcome was consistent with previous findings, hence validating not only this new approach but also confirming these earlier findings with the stronger statistical power of this study.

As a direct result we could assign specific AMA to similar EOs and identify corresponding classes of EOCs. Moreover, we could identify at least one known EOC with an unknown interesting and specific AMA. However, we expect that the analysis of more complex patterns will uncover additional interesting bioactivities of EOCs.

The applications of this method are diverse: (1) for an industrial application, three dissimilar EOs were selected from various natural products after an in vitro evaluation to replace some harmful synthetic compounds, (2) combining the chemical and biological data with data mining makes it possible to predict the AMA of an EO with a known composition.

Finally, the method is not limited to AMA data but can be applied to other bioactivity data.

Keywords: essential oil, antimicrobial activity, clustering analysis, principal component analysis, biofilm.

Acknowledgments

This work was supported by a bilateral grants from FWO (G0D4813N) and the KU Leuven (BIL11/19T) to PVD.

REFERENCES

Hyldgaard M, Mygind T, Meyer RL (2012) Frontiers in Microbiology, 3:12. Hood JR, Wilkinson JM, Cavanagh HMA (2003) Journal of Essential Oil Research, 15(6):428-433.

Page 2: 4 5 Symposium Venue - COnnecting REpositories · 2017. 12. 2. · ESSENTIAL OILS 46th INTERNATIONAL SYMPOSIUM ON ESSENTIAL OILS 13-16 September 2015 ABSTRACTS NVEO Publisher: BADEBIO

46th IN

TERNA

TION

AL SYM

POSIUM

ON

ESSENTIA

L OILS

46th INTERNATIONALSYMPOSIUM

ON ESSENTIAL OILS13-16 September 2015

ABSTRACTS

NVEOPublisher: BADEBIO Ltd.

ISSN: 2148-9637

Volume 2, Issue 3, 2015

NATURAL VOLATILES& ESSENTIAL OILS

A Quarterly Open Access Scientific Journal

ESSENTIAL OILS