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Iman MN, Haslam DE, Liang L, Guo K, Joshipura K, Pérez CM, Clish C, Tucker KL, Manson JE, Bhupathiraju SN, Fukusaki E, Lasky-Su J, Putri SP. Multidisciplinary approach combining food metabolomics and epidemiology identifies meglutol as an important bioactive metabolite in tempe, an Indonesian fermented food. Food Chem 2024; 446:138744. [PMID: 38432131 PMCID: PMC11247955 DOI: 10.1016/j.foodchem.2024.138744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/09/2024] [Accepted: 02/10/2024] [Indexed: 03/05/2024]
Abstract
This study introduces a multidisciplinary approach to investigate bioactive food metabolites often overlooked due to their low concentrations. We integrated an in-house food metabolite library (n = 494), a human metabolite library (n = 891) from epidemiological studies, and metabolite pharmacological databases to screen for food metabolites with potential bioactivity. We identified six potential metabolites, including meglutol (3-hydroxy-3-methylglutarate), an understudied low-density lipoprotein (LDL)-lowering compound. We further focused on meglutol as a case study to showcase the range of characterizations achievable with this approach. Green pea tempe was identified to contain the highest meglutol concentration (21.8 ± 4.6 mg/100 g). Furthermore, we identified a significant cross-sectional association between plasma meglutol (per 1-standard deviation) and lower LDL cholesterol in two Hispanic adult cohorts (n = 1,628) (β [standard error]: -5.5 (1.6) mg/dl, P = 0.0005). These findings highlight how multidisciplinary metabolomics can serve as a systematic tool for discovering and enhancing bioactive metabolites in food, such as meglutol, with potential applications in personalized dietary approaches for disease prevention.
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Affiliation(s)
- Marvin N Iman
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Japan
| | - Danielle E Haslam
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kai Guo
- Center for Clinical Research and Health Promotion, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA
| | - Kaumudi Joshipura
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Center for Clinical Research and Health Promotion, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA
| | - Cynthia M Pérez
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, Puerto Rico, USA
| | - Clary Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, USA
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Shilpa N Bhupathiraju
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eiichiro Fukusaki
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Japan; Industrial Biotechnology Initiative Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Japan; Osaka University-Shimadzu Omics Innovation Research Laboratories, Osaka University, Japan
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sastia P Putri
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Japan; Osaka University-Shimadzu Omics Innovation Research Laboratories, Osaka University, Japan.
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Doppler M, Bueschl C, Ertl F, Woischitzschlaeger J, Parich A, Schuhmacher R. Towards a broader view of the metabolome: untargeted profiling of soluble and bound polyphenols in plants. Anal Bioanal Chem 2022; 414:7421-7433. [PMID: 35678834 PMCID: PMC9482910 DOI: 10.1007/s00216-022-04134-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/28/2022] [Accepted: 05/16/2022] [Indexed: 11/30/2022]
Abstract
Phenylalanine (Phe) is a central precursor for numerous secondary plant metabolites with a multitude of biological functions. Recent studies on the fungal disease Fusarium head blight in wheat showed numerous Phe-derived defence metabolites to be induced in the presence of the pathogen. These studies also suggest a partial incorporation of Phe-derived secondary metabolites into the cell wall. To broaden the view of the metabolome to bound Phe derivatives, an existing approach using 13C-labelled Phe as tracer was extended. The developed workflow consists of three successive extractions with an acidified acetonitrile-methanol-water mixture to remove the soluble plant metabolites, followed by cell wall hydrolysis with 4M aqueous NaOH, acidification with aqueous HCl, and liquid-liquid extraction of the hydrolysate with ethyl acetate. The untargeted screening of Phe-derived metabolites revealed 156 soluble compounds and 90 compounds in the hydrolysed samples including known cell wall constituents like ferulic acid, coumaric acid, and tricin. Forty-nine metabolites were found exclusively in the hydrolysate. The average cumulative extraction yield of the soluble metabolites was 99.6%, with a range of 91.8 to 100%. Repeatability coefficients of variation of the protocol ranged from 10.5 to 25.9%, with a median of 16.3%. To demonstrate the suitability of the proposed method for a typical metabolomics application, mock-treated and Fusarium graminearum-treated wheat samples were compared. The study revealed differences between the hydrolysates of the two sample types, confirming the differential incorporation of Phe-derived metabolites into the cell wall under infection conditions.
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Affiliation(s)
- Maria Doppler
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria. .,Core Facility Bioactive Molecules: Screening and Analysis, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria.
| | - Christoph Bueschl
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria
| | - Florian Ertl
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria
| | - Jakob Woischitzschlaeger
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria
| | - Alexandra Parich
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria
| | - Rainer Schuhmacher
- Institute of Bioanalytics and Agro-Metabolomics, Department of Agrobiotechnology IFA-Tulln, University of Natural Resources and Life Sciences, Vienna, Konrad-Lorenz-Straße 20, 3430, Tulln, Austria.
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Desmet S, Morreel K, Dauwe R. Origin and Function of Structural Diversity in the Plant Specialized Metabolome. PLANTS (BASEL, SWITZERLAND) 2021; 10:2393. [PMID: 34834756 PMCID: PMC8621143 DOI: 10.3390/plants10112393] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 10/29/2021] [Accepted: 11/03/2021] [Indexed: 05/07/2023]
Abstract
The plant specialized metabolome consists of a multitude of structurally and functionally diverse metabolites, variable from species to species. The specialized metabolites play roles in the response to environmental changes and abiotic or biotic stresses, as well as in plant growth and development. At its basis, the specialized metabolism is built of four major pathways, each starting from a few distinct primary metabolism precursors, and leading to distinct basic carbon skeleton core structures: polyketides and fatty acid derivatives, terpenoids, alkaloids, and phenolics. Structural diversity in specialized metabolism, however, expands exponentially with each subsequent modification. We review here the major sources of structural variety and question if a specific role can be attributed to each distinct structure. We focus on the influences that various core structures and modifications have on flavonoid antioxidant activity and on the diversity generated by oxidative coupling reactions. We suggest that many oxidative coupling products, triggered by initial radical scavenging, may not have a function in se, but could potentially be enzymatically recycled to effective antioxidants. We further discuss the wide structural variety created by multiple decorations (glycosylations, acylations, prenylations), the formation of high-molecular weight conjugates and polyesters, and the plasticity of the specialized metabolism. We draw attention to the need for untargeted methods to identify the complex, multiply decorated and conjugated compounds, in order to study the functioning of the plant specialized metabolome.
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Affiliation(s)
- Sandrien Desmet
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium; (S.D.); (K.M.)
- Center for Plant Systems Biology, VIB, 9052 Gent, Belgium
| | - Kris Morreel
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium; (S.D.); (K.M.)
- Center for Plant Systems Biology, VIB, 9052 Gent, Belgium
| | - Rebecca Dauwe
- Unité de Recherche Biologie des Plantes et Innovation (BIOPI), UMR Transfrontalière BioEcoAgro, Université de Picardie Jules Verne, 80000 Amiens, France
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Harman-Ware AE, Sparks S, Addison B, Kalluri UC. Importance of suberin biopolymer in plant function, contributions to soil organic carbon and in the production of bio-derived energy and materials. BIOTECHNOLOGY FOR BIOFUELS 2021; 14:75. [PMID: 33743797 PMCID: PMC7981814 DOI: 10.1186/s13068-021-01892-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/27/2021] [Indexed: 05/27/2023]
Abstract
Suberin is a hydrophobic biopolymer of significance in the production of biomass-derived materials and in biogeochemical cycling in terrestrial ecosystems. Here, we describe suberin structure and biosynthesis, and its importance in biological (i.e., plant bark and roots), ecological (soil organic carbon) and economic (biomass conversion to bioproducts) contexts. Furthermore, we highlight the genomics and analytical approaches currently available and explore opportunities for future technologies to study suberin in quantitative and/or high-throughput platforms in bioenergy crops. A greater understanding of suberin structure and production in lignocellulosic biomass can be leveraged to improve representation in life cycle analysis and techno-economic analysis models and enable performance improvements in plant biosystems as well as informed crop system management to achieve economic and environmental co-benefits.
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Affiliation(s)
- Anne E Harman-Ware
- Renewable Resources and Enabling Sciences Center, Center for Bioenergy Innovation, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
| | - Samuel Sparks
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | - Bennett Addison
- Renewable Resources and Enabling Sciences Center, Center for Bioenergy Innovation, National Renewable Energy Laboratory, Golden, CO, 80401, USA
| | - Udaya C Kalluri
- Biosciences Division and Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
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