The Experts below are selected from a list of 13533 Experts worldwide ranked by ideXlab platform
Martina Fricker - One of the best experts on this subject based on the ideXlab platform.
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Detection and Identification of Bacillus cereus, Bacillus cytotoxicus, Bacillus thuringiensis, Bacillus mycoides and Bacillus weihenstephanensis via Machine Learning Based FTIR Spectroscopy.
Frontiers in Microbiology, 2019Co-Authors: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-schulzAbstract:The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specific phenotypic characteristic or the presence of species-specific genes. Especially the differentiation of Bacillus cereus and Bacillus thuringiensis, the identification of psychrotolerant Bacillus mycoides and Bacillus weihenstephanensis, as well as the identification of emetic B. cereus and Bacillus cytotoxicus, which are both producing highly potent toxins, is of high importance in food microbiology. Thus, we investigated the use of a machine learning approach, based on artificial neural network (ANN) assisted Fourier transform infrared (FTIR) spectroscopy, for discrimination of B. cereus group members. The deep learning tool box of Matlab was employed to construct a one-level ANN, allowing the discrimination of the aforementioned B. cereus group members. This model resulted in 100% correct identification for the training set and 99.5% correct identification overall. The established ANN was applied to investigate the composition of B. cereus group members in soil, as a natural habitat of B. cereus, and in food samples originating from foodborne outbreaks. These analyses revealed a high complexity of B. cereus group populations, not only in soil samples but also in the samples from the foodborne outbreaks, highlighting the importance of taking multiple isolates from samples implicated in food poisonings. Notable, in contrast to the soil samples, no bacteria belonging to the psychrotolerant B. cereus group members were detected in the food samples linked to foodborne outbreaks, while the overall abundancy of B. thuringiensis did not significantly differ between the sample categories. None of the isolates was classified as B. cytotoxicus, fostering the hypothesis that the latter species is linked to very specific ecological niches. Overall, our work shows that machine learning assisted (FTIR) spectroscopy is suitable for identification of B. cereus group members in routine diagnostics and outbreak investigations. In addition, it is a promising tool to explore the natural habitats of B. cereus group, such as soil.
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Data_Sheet_1_Detection and Identification of Bacillus cereus, Bacillus cytotoxicus, Bacillus thuringiensis, Bacillus mycoides and Bacillus weihenstephanensis via Machine Learning Based FTIR Spectroscopy.PDF
2019Co-Authors: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-schulzAbstract:The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specific phenotypic characteristic or the presence of species-specific genes. Especially the differentiation of Bacillus cereus and Bacillus thuringiensis, the identification of psychrotolerant Bacillus mycoides and Bacillus weihenstephanensis, as well as the identification of emetic B. cereus and Bacillus cytotoxicus, which are both producing highly potent toxins, is of high importance in food microbiology. Thus, we investigated the use of a machine learning approach, based on artificial neural network (ANN) assisted Fourier transform infrared (FTIR) spectroscopy, for discrimination of B. cereus group members. The deep learning tool box of Matlab was employed to construct a one-level ANN, allowing the discrimination of the aforementioned B. cereus group members. This model resulted in 100% correct identification for the training set and 99.5% correct identification overall. The established ANN was applied to investigate the composition of B. cereus group members in soil, as a natural habitat of B. cereus, and in food samples originating from foodborne outbreaks. These analyses revealed a high complexity of B. cereus group populations, not only in soil samples but also in the samples from the foodborne outbreaks, highlighting the importance of taking multiple isolates from samples implicated in food poisonings. Notable, in contrast to the soil samples, no bacteria belonging to the psychrotolerant B. cereus group members were detected in the food samples linked to foodborne outbreaks, while the overall abundancy of B. thuringiensis did not significantly differ between the sample categories. None of the isolates was classified as B. cytotoxicus, fostering the hypothesis that the latter species is linked to very specific ecological niches. Overall, our work shows that machine learning assisted (FTIR) spectroscopy is suitable for identification of B. cereus group members in routine diagnostics and outbreak investigations. In addition, it is a promising tool to explore the natural habitats of B. cereus group, such as soil.
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a novel diagnostic real time pcr assay for quantification and differentiation of emetic and non emetic bacillus cereus
Food Control, 2013Co-Authors: Monika Dzieciol, Martina Fricker, Martin Wagner, Ingeborg Hein, Monika EhlingschulzAbstract:Abstract To improve differential diagnosis of Bacillus cereus group and minimize a risk of bacilli related disease, a multiplex quantitative real-time PCR assay for a one step detection and differentiation of B. cereus sensu lato and emetic B. cereus spores in milk was developed. A qPCR assay with primers and probe targeting gyrB (gyrase B) gene was successfully established and applied in a multiplex qPCR approach with previously published 16S rRNA and ces (specific part of the cereulide) qPCR assays. An internal amplification control (IAC) was included to meet diagnostic PCR requirements. The inclusivity and exclusivity of the assay were assessed using a panel of 81 strains, including 45 B. cereus group, 19 non- B. cereus group and 17 non- Bacillus strains. The limit of detection (LOD) for B. cereus in artificial inoculation experiments was 1.91 × 10 3 spores ml −1 milk with a mean recovery rate of 81%. Good coefficient of determination was achieved between the number of B. cereus spores added and the qPCR derived number of B. cereus cell equivalents ( R 2 = 0.973). The real-time qPCR assay is specific and sensitive, providing an efficient diagnostic and monitoring tool for the implementation in food and clinical diagnostic labs.
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identification of emetic toxin producing bacillus cereus strains by a novel molecular assay
Fems Microbiology Letters, 2004Co-Authors: Monika Ehlingschulz, Martina Fricker, Siegfried SchererAbstract:Bacillus cereus causes two types of gastrointestinal diseases: emesis and diarrhea. The emetic type of the disease is attributed to the heat-stable depsipeptide cereulide and symptoms resemble Staphylococcus aureus intoxication, but there is no rapid method available to detect B. cereus strains causing this type of disease. In this study, a polymerase chain reaction (PCR) fragment of unknown function was identified, which was shown to be specific for emetic toxin producing strains of B. cereus. The sequence of this amplicon was determined and a PCR assay was developed on this basis. One hundred B. cereus isolates obtained from different food poisoning outbreaks and diverse food sources from various geographical locations and 29 strains from other species belonging to the B. cereus group were tested by this assay. In addition, 49 non-B. cereus group strains, with special emphasis on food pathogens, were used to show that the assay is specific for emetic toxin producing B. cereus strains. The presented PCR assay is the first molecular tool for the rapid detection of emetic toxin producing B. cereus strains.
Mary L. Disis - One of the best experts on this subject based on the ideXlab platform.
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American Journal of Hematology 72:204–208 (2003) Fatal Bacillus cereus Sepsis Following Resolving Neutropenic Enterocolitis During the Treatment of Acute Leukemia
2013Co-Authors: Amy Sarah Ginsburg, Lupe G. Salazar, Lawrence D. True, Mary L. DisisAbstract:Bacillus cereus is increasingly being acknowledged as a serious bacterial pathogen in immunosuppressed hosts. We report a case of fatal B. cereus sepsis in a patient with newly diagnosed acute leukemia following resolving neutropenic enterocolitis. Gastrointestinal complaints are common during induction chemotherapy, yet some antimicrobial coverage suitable for generalized neutropenia is not optimal for the eradication of B. cereus. This case demonstrates that, in the neutropenic patient with gastrointestinal complaints or in the setting of resolving neutropenic enterocolitis, it is important to anticipate possible B. cereus infection and sepsis. Am. J. Hematol. 72:204–208, 2003. © 2003 Wiley-Liss, Inc. Key words: Bacillus cereus; gastrointestinal; leukemia; neutropeni
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Fatal Bacillus cereus sepsis following resolving neutropenic enterocolitis during the treatment of acute leukemia.
American journal of hematology, 2003Co-Authors: Amy Sarah Ginsburg, Lupe G. Salazar, Lawrence D. True, Mary L. DisisAbstract:Bacillus cereus is increasingly being acknowledged as a serious bacterial pathogen in immunosuppressed hosts. We report a case of fatal B. cereus sepsis in a patient with newly diagnosed acute leukemia following resolving neutropenic enterocolitis. Gastrointestinal complaints are common during induction chemotherapy, yet some antimicrobial coverage suitable for generalized neutropenia is not optimal for the eradication of B. cereus. This case demonstrates that, in the neutropenic patient with gastrointestinal complaints or in the setting of resolving neutropenic enterocolitis, it is important to anticipate possible B. cereus infection and sepsis.
Monika Ehlingschulz - One of the best experts on this subject based on the ideXlab platform.
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a novel diagnostic real time pcr assay for quantification and differentiation of emetic and non emetic bacillus cereus
Food Control, 2013Co-Authors: Monika Dzieciol, Martina Fricker, Martin Wagner, Ingeborg Hein, Monika EhlingschulzAbstract:Abstract To improve differential diagnosis of Bacillus cereus group and minimize a risk of bacilli related disease, a multiplex quantitative real-time PCR assay for a one step detection and differentiation of B. cereus sensu lato and emetic B. cereus spores in milk was developed. A qPCR assay with primers and probe targeting gyrB (gyrase B) gene was successfully established and applied in a multiplex qPCR approach with previously published 16S rRNA and ces (specific part of the cereulide) qPCR assays. An internal amplification control (IAC) was included to meet diagnostic PCR requirements. The inclusivity and exclusivity of the assay were assessed using a panel of 81 strains, including 45 B. cereus group, 19 non- B. cereus group and 17 non- Bacillus strains. The limit of detection (LOD) for B. cereus in artificial inoculation experiments was 1.91 × 10 3 spores ml −1 milk with a mean recovery rate of 81%. Good coefficient of determination was achieved between the number of B. cereus spores added and the qPCR derived number of B. cereus cell equivalents ( R 2 = 0.973). The real-time qPCR assay is specific and sensitive, providing an efficient diagnostic and monitoring tool for the implementation in food and clinical diagnostic labs.
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identification of emetic toxin producing bacillus cereus strains by a novel molecular assay
Fems Microbiology Letters, 2004Co-Authors: Monika Ehlingschulz, Martina Fricker, Siegfried SchererAbstract:Bacillus cereus causes two types of gastrointestinal diseases: emesis and diarrhea. The emetic type of the disease is attributed to the heat-stable depsipeptide cereulide and symptoms resemble Staphylococcus aureus intoxication, but there is no rapid method available to detect B. cereus strains causing this type of disease. In this study, a polymerase chain reaction (PCR) fragment of unknown function was identified, which was shown to be specific for emetic toxin producing strains of B. cereus. The sequence of this amplicon was determined and a PCR assay was developed on this basis. One hundred B. cereus isolates obtained from different food poisoning outbreaks and diverse food sources from various geographical locations and 29 strains from other species belonging to the B. cereus group were tested by this assay. In addition, 49 non-B. cereus group strains, with special emphasis on food pathogens, were used to show that the assay is specific for emetic toxin producing B. cereus strains. The presented PCR assay is the first molecular tool for the rapid detection of emetic toxin producing B. cereus strains.
Monika Ehling-schulz - One of the best experts on this subject based on the ideXlab platform.
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Detection and Identification of Bacillus cereus, Bacillus cytotoxicus, Bacillus thuringiensis, Bacillus mycoides and Bacillus weihenstephanensis via Machine Learning Based FTIR Spectroscopy.
Frontiers in Microbiology, 2019Co-Authors: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-schulzAbstract:The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specific phenotypic characteristic or the presence of species-specific genes. Especially the differentiation of Bacillus cereus and Bacillus thuringiensis, the identification of psychrotolerant Bacillus mycoides and Bacillus weihenstephanensis, as well as the identification of emetic B. cereus and Bacillus cytotoxicus, which are both producing highly potent toxins, is of high importance in food microbiology. Thus, we investigated the use of a machine learning approach, based on artificial neural network (ANN) assisted Fourier transform infrared (FTIR) spectroscopy, for discrimination of B. cereus group members. The deep learning tool box of Matlab was employed to construct a one-level ANN, allowing the discrimination of the aforementioned B. cereus group members. This model resulted in 100% correct identification for the training set and 99.5% correct identification overall. The established ANN was applied to investigate the composition of B. cereus group members in soil, as a natural habitat of B. cereus, and in food samples originating from foodborne outbreaks. These analyses revealed a high complexity of B. cereus group populations, not only in soil samples but also in the samples from the foodborne outbreaks, highlighting the importance of taking multiple isolates from samples implicated in food poisonings. Notable, in contrast to the soil samples, no bacteria belonging to the psychrotolerant B. cereus group members were detected in the food samples linked to foodborne outbreaks, while the overall abundancy of B. thuringiensis did not significantly differ between the sample categories. None of the isolates was classified as B. cytotoxicus, fostering the hypothesis that the latter species is linked to very specific ecological niches. Overall, our work shows that machine learning assisted (FTIR) spectroscopy is suitable for identification of B. cereus group members in routine diagnostics and outbreak investigations. In addition, it is a promising tool to explore the natural habitats of B. cereus group, such as soil.
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Data_Sheet_1_Detection and Identification of Bacillus cereus, Bacillus cytotoxicus, Bacillus thuringiensis, Bacillus mycoides and Bacillus weihenstephanensis via Machine Learning Based FTIR Spectroscopy.PDF
2019Co-Authors: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-schulzAbstract:The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specific phenotypic characteristic or the presence of species-specific genes. Especially the differentiation of Bacillus cereus and Bacillus thuringiensis, the identification of psychrotolerant Bacillus mycoides and Bacillus weihenstephanensis, as well as the identification of emetic B. cereus and Bacillus cytotoxicus, which are both producing highly potent toxins, is of high importance in food microbiology. Thus, we investigated the use of a machine learning approach, based on artificial neural network (ANN) assisted Fourier transform infrared (FTIR) spectroscopy, for discrimination of B. cereus group members. The deep learning tool box of Matlab was employed to construct a one-level ANN, allowing the discrimination of the aforementioned B. cereus group members. This model resulted in 100% correct identification for the training set and 99.5% correct identification overall. The established ANN was applied to investigate the composition of B. cereus group members in soil, as a natural habitat of B. cereus, and in food samples originating from foodborne outbreaks. These analyses revealed a high complexity of B. cereus group populations, not only in soil samples but also in the samples from the foodborne outbreaks, highlighting the importance of taking multiple isolates from samples implicated in food poisonings. Notable, in contrast to the soil samples, no bacteria belonging to the psychrotolerant B. cereus group members were detected in the food samples linked to foodborne outbreaks, while the overall abundancy of B. thuringiensis did not significantly differ between the sample categories. None of the isolates was classified as B. cytotoxicus, fostering the hypothesis that the latter species is linked to very specific ecological niches. Overall, our work shows that machine learning assisted (FTIR) spectroscopy is suitable for identification of B. cereus group members in routine diagnostics and outbreak investigations. In addition, it is a promising tool to explore the natural habitats of B. cereus group, such as soil.
Amy Sarah Ginsburg - One of the best experts on this subject based on the ideXlab platform.
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American Journal of Hematology 72:204–208 (2003) Fatal Bacillus cereus Sepsis Following Resolving Neutropenic Enterocolitis During the Treatment of Acute Leukemia
2013Co-Authors: Amy Sarah Ginsburg, Lupe G. Salazar, Lawrence D. True, Mary L. DisisAbstract:Bacillus cereus is increasingly being acknowledged as a serious bacterial pathogen in immunosuppressed hosts. We report a case of fatal B. cereus sepsis in a patient with newly diagnosed acute leukemia following resolving neutropenic enterocolitis. Gastrointestinal complaints are common during induction chemotherapy, yet some antimicrobial coverage suitable for generalized neutropenia is not optimal for the eradication of B. cereus. This case demonstrates that, in the neutropenic patient with gastrointestinal complaints or in the setting of resolving neutropenic enterocolitis, it is important to anticipate possible B. cereus infection and sepsis. Am. J. Hematol. 72:204–208, 2003. © 2003 Wiley-Liss, Inc. Key words: Bacillus cereus; gastrointestinal; leukemia; neutropeni
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Fatal Bacillus cereus sepsis following resolving neutropenic enterocolitis during the treatment of acute leukemia.
American journal of hematology, 2003Co-Authors: Amy Sarah Ginsburg, Lupe G. Salazar, Lawrence D. True, Mary L. DisisAbstract:Bacillus cereus is increasingly being acknowledged as a serious bacterial pathogen in immunosuppressed hosts. We report a case of fatal B. cereus sepsis in a patient with newly diagnosed acute leukemia following resolving neutropenic enterocolitis. Gastrointestinal complaints are common during induction chemotherapy, yet some antimicrobial coverage suitable for generalized neutropenia is not optimal for the eradication of B. cereus. This case demonstrates that, in the neutropenic patient with gastrointestinal complaints or in the setting of resolving neutropenic enterocolitis, it is important to anticipate possible B. cereus infection and sepsis.
