Plasma Metabolomics Reveals Steroidal Alkaloids as Novel Biomarkers of Tomato Intake in Mice

Cichon, Morgan J.; Riedl, Ken M.; Wan, Lei; Thomas‐Ahner, Jennifer M.; Francis, David M.; Clinton, Steven K.; Schwartz, Steven J.

doi:10.1002/mnfr.201700241

Cited by 19 publications

(36 citation statements)

References 54 publications

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“…Filtering can also be performed on the basis of analytical criteria, by considering the feature variance across repeated injection of QC samples . In a similar way, it is also possible to set up a dilution series of QC samples, thereby excluding features not exhibiting linear trends.…”

Section: Data Visualization Preprocessing and Analysismentioning

confidence: 99%

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Ulaszewska

Weinert

Trimigno

et al. 2018

Molecular Nutrition Food Res

195

156

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The life sciences are currently being transformed by an unprecedented wave of developments in molecular analysis, which include important advances in instrumental analysis as well as biocomputing. In light of the central role played by metabolism in nutrition, metabolomics is rapidly being established as a key analytical tool in human nutritional studies. Consequently, an increasing number of nutritionists integrate metabolomics into their study designs. Within this dynamic landscape, the potential of nutritional metabolomics (nutrimetabolomics) to be translated into a science, which can impact on health policies, still needs to be realized. A key element to reach this goal is the ability of the research community to join, to collectively make the best use of the potential offered by nutritional metabolomics. This article, therefore, provides a methodological description of nutritional metabolomics that reflects on the state-of-the-art techniques used in the laboratories of the Food Biomarker Alliance (funded by the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL)) as well as points of reflections to harmonize this field. It is not intended to be exhaustive but rather to present a pragmatic guidance on metabolomic methodologies, providing readers with useful "tips and tricks" along the analytical workflow.

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Section: Data Visualization Preprocessing and Analysismentioning

confidence: 99%

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Ulaszewska

Weinert

Trimigno

et al. 2018

Molecular Nutrition Food Res

195

156

View full text Add to dashboard Cite

show abstract

“…Metabolomics is regarded as the most widely applicable technique among the "omics" technologies mainly because it does not rely on reference genomes; furthermore, it has facilitated the discovery of several novel biomarkers (Cichon et al 2017;Wang et al 2018). Metabolites provide a direct reflection of the physiological status of plants, often representing the end products in response to environmental factors.…”

Section: Introductionmentioning

confidence: 99%

Comparative metabolite profiling of two switchgrass ecotypes reveals differences in drought stress responses and rhizosheath weight

Liu

Chen

Zhang

et al. 2019

Planta

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“…The resulting spectra generated for each peak allowed us to eliminate peaks that were isobaric with tSGAs of interest, but had product ions inconsistent with proposed structures. Masses such as 254.9 and 272.9 m / z were particularly useful in identifying alkaloids as they are likely derived from the fragmentation of the steroidal backbone characteristic of all tSGAs (Supplementary Information) and have been previously reported in the literature (Caprioli et al, 2014; Cichon et al, 2017; Iijima et al, 2013; Sonawane et al, 2018; Zhu et al, 2018). Additionally, tSGAs with the prefix “dehydro” exhibit a desaturation on the B ring of the steroidal backbone between carbons 5 and 6 (Iijima et al, 2013; Itkin et al, 2011; Ono et al, 1997; Sonawane et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…To study tSGAs further, quantitative analysis methods are necessary. In order to maximize the amount of tSGAs detected and separated in our method, we first compiled a target list of biologically relevant tSGAs by surveying the literature (Alseekh et al, 2015; Cichon et al, 2017; Cooperstone et al, 2017; Fujiwara et al, 2004; Hövelmann et al, 2019; Iijima et al, 2009; Zhu et al, 2018). Tomato steroidal glycoalkaloid species were prioritized based on their perceived abundance in the tomato clade, previous structural characterization, and having an established record of being impacted by or a part of biological processes such as ripening or plant defense, respectively.…”

Section: Resultsmentioning

confidence: 99%

A High-Throughput Extraction and Analysis Method for Steroidal Glycoalkaloids in Tomato

Dzakovich

Hartman

Cooperstone

2019

Preprint

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19Tomato steroidal glycoalkaloids (tSGAs) are a class of cholesterol-derived metabolites uniquely 20 produced by the tomato clade. These compounds provide protection against biotic stress due to 21 their fungicidal and insecticidal properties. Although commonly reported as being anti-nutritional, 22 both in vitro as well as pre-clinical animal studies have indicated that some tSGAs may have a 23 beneficial impact on human health. However, the paucity of quantitative extraction and analysis 24 methods presents a major obstacle for determining the biological and nutritional functions of 25 tSGAs. To address this problem, we developed and validated the first comprehensive extraction 26 and UHPLC-MS/MS quantification method for tSGAs. Our extraction method allows for up to 16 27 samples to be extracted simultaneously in 20 minutes with 93.0 ± 6.8% and 100.8 ± 13.1% 28 recovery rates for tomatidine and alpha-tomatine, respectively. Our ultra-high-performance liquid 29 chromatography tandem mass spectrometry (UHPLC-MS/MS) method was able to 30 chromatographically separate analytes derived from 16 tSGAs representing 9 different tSGA 31 masses, as well as two internal standards, in 13 minutes. Tomato steroidal glycoalkaloids that did 32 not have available standards were annotated using high resolution mass spectrometry as well as 33 product ion scans that provided fragmentation data. Lastly, we utilized our method to survey a 34 variety of commonly consumed tomato-based products. Total tSGA concentrations ranged from 35 0.7 to 3.4 mg/serving and represent some of the first reported tSGA concentrations in tomato-36 based products. Our validation studies indicate that our method is sensitive, robust, and able to be 37 used for a variety of applications where concentrations of biologically relevant tSGAs need to be 38 quantified. 39 40 Introduction 41Solanaceous plants produce a spectrum of cholesterol derived compounds called steroidal 42 glycoalkaloids. While each solanaceous clade produces its own unique assortment of steroidal 43 glycoalkaloids, these metabolites share commonality in their role as phytoanticipins and anti-44 herbivory agents (Etalo et al., 2015; Fontaine et al., 1948; Irving et al., 1945; Ökmen et al., 2013). 45Tomato (Solanum lycopersicum and close relatives) is no exception, and over 100 tomato steroidal 46 glycoalkaloids (tSGAs, Fig. 1) have been suggested (Iijima et al., 2013(Iijima et al., , 2008. Although these 47 compounds are typically reported as anti-nutritional (Ballester et al., 2016; Cárdenas et al., 2016 Cárdenas et al., , 48 2015 Itkin et al., 2013), other studies suggest a health-promoting role. In fact, emerging evidence 49 suggests that some tSGAs may play a role in positive health outcomes associated with tomato 50 consumption (Cayen, 1971; Choi et al., 2012; Cooperstone et al., 2017; Lee et al., 2004). While 51 these compounds continue to be evaluated both in planta and in vivo, there is a lack of quantitative 52 and validated methods to extract and measure tSGAs from tomato...

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Plasma Metabolomics Reveals Steroidal Alkaloids as Novel Biomarkers of Tomato Intake in Mice

Cited by 19 publications

References 54 publications

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies

Comparative metabolite profiling of two switchgrass ecotypes reveals differences in drought stress responses and rhizosheath weight

A High-Throughput Extraction and Analysis Method for Steroidal Glycoalkaloids in Tomato

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