Twenty-Eight Fungal Secondary Metabolites Detected in Pig Feed Samples: Their Occurrence, Relevance and Cytotoxic Effects In Vitro
Feed samples are frequently contaminated by a wide range of chemically diverse natural products, which can be determined using highly sensitive analytical techniques. Next to already well-investigated mycotoxins, unknown or unregulated fungal secondary metabolites have also been found, some of which...
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Published in | Toxins Vol. 11; no. 9; p. 537 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Abstract | Feed samples are frequently contaminated by a wide range of chemically diverse natural products, which can be determined using highly sensitive analytical techniques. Next to already well-investigated mycotoxins, unknown or unregulated fungal secondary metabolites have also been found, some of which at significant concentrations. In our study, 1141 pig feed samples were analyzed for more than 800 secondary fungal metabolites using the same LC-MS/MS method and ranked according to their prevalence. Effects on the viability of the 28 most relevant were tested on an intestinal porcine epithelial cell line (IPEC-J2). The most frequently occurring compounds were determined as being cyclo-(L-Pro-L-Tyr), moniliformin, and enniatin B, followed by enniatin B1, aurofusarin, culmorin, and enniatin A1. The main mycotoxins, deoxynivalenol and zearalenone, were found only at ranks 8 and 10. Regarding cytotoxicity, apicidin, gliotoxin, bikaverin, and beauvericin led to lower IC
values, between 0.52 and 2.43 µM, compared to deoxynivalenol (IC
= 2.55 µM). Significant cytotoxic effects were also seen for the group of enniatins, which occurred in up to 82.2% of the feed samples. Our study gives an overall insight into the amount of fungal secondary metabolites found in pig feed samples compared to their cytotoxic effects in vitro. |
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AbstractList | Feed samples are frequently contaminated by a wide range of chemically diverse natural products, which can be determined using highly sensitive analytical techniques. Next to already well-investigated mycotoxins, unknown or unregulated fungal secondary metabolites have also been found, some of which at significant concentrations. In our study, 1141 pig feed samples were analyzed for more than 800 secondary fungal metabolites using the same LC-MS/MS method and ranked according to their prevalence. Effects on the viability of the 28 most relevant were tested on an intestinal porcine epithelial cell line (IPEC-J2). The most frequently occurring compounds were determined as being cyclo-(L-Pro-L-Tyr), moniliformin, and enniatin B, followed by enniatin B1, aurofusarin, culmorin, and enniatin A1. The main mycotoxins, deoxynivalenol and zearalenone, were found only at ranks 8 and 10. Regarding cytotoxicity, apicidin, gliotoxin, bikaverin, and beauvericin led to lower IC
50
values, between 0.52 and 2.43 µM, compared to deoxynivalenol (IC
50
= 2.55 µM). Significant cytotoxic effects were also seen for the group of enniatins, which occurred in up to 82.2% of the feed samples. Our study gives an overall insight into the amount of fungal secondary metabolites found in pig feed samples compared to their cytotoxic effects in vitro. Feed samples are frequently contaminated by a wide range of chemically diverse natural products, which can be determined using highly sensitive analytical techniques. Next to already well-investigated mycotoxins, unknown or unregulated fungal secondary metabolites have also been found, some of which at significant concentrations. In our study, 1141 pig feed samples were analyzed for more than 800 secondary fungal metabolites using the same LC-MS/MS method and ranked according to their prevalence. Effects on the viability of the 28 most relevant were tested on an intestinal porcine epithelial cell line (IPEC-J2). The most frequently occurring compounds were determined as being cyclo-(L-Pro-L-Tyr), moniliformin, and enniatin B, followed by enniatin B1, aurofusarin, culmorin, and enniatin A1. The main mycotoxins, deoxynivalenol and zearalenone, were found only at ranks 8 and 10. Regarding cytotoxicity, apicidin, gliotoxin, bikaverin, and beauvericin led to lower IC50 values, between 0.52 and 2.43 µM, compared to deoxynivalenol (IC50 = 2.55 µM). Significant cytotoxic effects were also seen for the group of enniatins, which occurred in up to 82.2% of the feed samples. Our study gives an overall insight into the amount of fungal secondary metabolites found in pig feed samples compared to their cytotoxic effects in vitro. Feed samples are frequently contaminated by a wide range of chemically diverse natural products, which can be determined using highly sensitive analytical techniques. Next to already well-investigated mycotoxins, unknown or unregulated fungal secondary metabolites have also been found, some of which at significant concentrations. In our study, 1141 pig feed samples were analyzed for more than 800 secondary fungal metabolites using the same LC-MS/MS method and ranked according to their prevalence. Effects on the viability of the 28 most relevant were tested on an intestinal porcine epithelial cell line (IPEC-J2). The most frequently occurring compounds were determined as being cyclo-(L-Pro-L-Tyr), moniliformin, and enniatin B, followed by enniatin B1, aurofusarin, culmorin, and enniatin A1. The main mycotoxins, deoxynivalenol and zearalenone, were found only at ranks 8 and 10. Regarding cytotoxicity, apicidin, gliotoxin, bikaverin, and beauvericin led to lower IC values, between 0.52 and 2.43 µM, compared to deoxynivalenol (IC = 2.55 µM). Significant cytotoxic effects were also seen for the group of enniatins, which occurred in up to 82.2% of the feed samples. Our study gives an overall insight into the amount of fungal secondary metabolites found in pig feed samples compared to their cytotoxic effects in vitro. |
Author | Novak, Barbara Haltrich, Dietmar Schatzmayr, Gerd Mayer, Elisabeth Sulyok, Michael Rainer, Valentina |
AuthorAffiliation | 3 Food Biotechnology Laboratory, Department of Food Science and Technology, University of Natural Resources and Life Sciences, Muthgasse 11, 1190 Vienna, Austria; dietmar.haltrich@boku.ac.at 1 BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria; valentina.rainer@biomin.net (V.R.); gerd.schatzmayr@biomin.net (G.S.); e.mayer@biomin.net (E.M.) 2 Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Straße 20, 3430 Tulln, Austria; michael.sulyok@boku.ac.at |
AuthorAffiliation_xml | – name: 3 Food Biotechnology Laboratory, Department of Food Science and Technology, University of Natural Resources and Life Sciences, Muthgasse 11, 1190 Vienna, Austria; dietmar.haltrich@boku.ac.at – name: 2 Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Straße 20, 3430 Tulln, Austria; michael.sulyok@boku.ac.at – name: 1 BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria; valentina.rainer@biomin.net (V.R.); gerd.schatzmayr@biomin.net (G.S.); e.mayer@biomin.net (E.M.) |
Author_xml | – sequence: 1 givenname: Barbara surname: Novak fullname: Novak, Barbara email: barbara.novak@biomin.net organization: BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria. barbara.novak@biomin.net – sequence: 2 givenname: Valentina surname: Rainer fullname: Rainer, Valentina email: valentina.rainer@biomin.net organization: BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria. valentina.rainer@biomin.net – sequence: 3 givenname: Michael orcidid: 0000-0002-3302-0732 surname: Sulyok fullname: Sulyok, Michael email: michael.sulyok@boku.ac.at organization: Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Straße 20, 3430 Tulln, Austria. michael.sulyok@boku.ac.at – sequence: 4 givenname: Dietmar orcidid: 0000-0002-8722-8176 surname: Haltrich fullname: Haltrich, Dietmar email: dietmar.haltrich@boku.ac.at organization: Food Biotechnology Laboratory, Department of Food Science and Technology, University of Natural Resources and Life Sciences, Muthgasse 11, 1190 Vienna, Austria. dietmar.haltrich@boku.ac.at – sequence: 5 givenname: Gerd orcidid: 0000-0002-4325-855X surname: Schatzmayr fullname: Schatzmayr, Gerd email: gerd.schatzmayr@biomin.net organization: BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria. gerd.schatzmayr@biomin.net – sequence: 6 givenname: Elisabeth surname: Mayer fullname: Mayer, Elisabeth email: e.mayer@biomin.net organization: BIOMIN Research Center, Technopark 1, 3430 Tulln, Austria. e.mayer@biomin.net |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31540008$$D View this record in MEDLINE/PubMed |
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Copyright | 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2019 by the authors. 2019 |
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Keywords | Aspergillus Penicillium emerging mycotoxin fungi IPEC-J2 Alternaria in vitro Fusarium occurrence data |
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SubjectTerms | Acids Alternaria Aspergillus Beauvericin Cytotoxicity Deoxynivalenol emerging mycotoxin Enniatins Epithelial cells Epithelium Feeds Fungi Fusarium Gliotoxin in vitro IPEC-J2 Metabolites Moniliformin Mycotoxins Natural products occurrence data Penicillium Secondary metabolites Swine Toxicity Zearalenone |
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Title | Twenty-Eight Fungal Secondary Metabolites Detected in Pig Feed Samples: Their Occurrence, Relevance and Cytotoxic Effects In Vitro |
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