Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
Background Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavail...
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| Veröffentlicht in: | International Journal of Obesity 2020-12, Vol.44 (12), p.2372-2381 |
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| container_title | International Journal of Obesity |
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| creator | González-Domínguez, Raúl Jáuregui, Olga Mena, Pedro Hanhineva, Kati Tinahones, Francisco José Angelino, Donato Andrés-Lacueva, Cristina |
| description | Background
Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory.
Methods
In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal.
Results
After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites.
Conclusions
The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies. |
| doi_str_mv | 10.1038/s41366-020-0628-1 |
| format | Article |
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Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory.
Methods
In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal.
Results
After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites.
Conclusions
The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/s41366-020-0628-1</identifier><identifier>PMID: 32541919</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>101/47 ; 101/58 ; 692/308/575 ; 692/700/2814 ; Bioavailability ; Blood ; Chemical precipitation ; Complexity ; Crosstalk ; Diet ; Epidemiology ; Food ; Health aspects ; Health Promotion and Disease Prevention ; High performance liquid chromatography ; Identification and classification ; Internal Medicine ; Linearity ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; Metabolic Diseases ; Metabolites ; Metabolomics ; Microbiota ; Microbiota (Symbiotic organisms) ; Nutrition ; Optimization ; Phospholipids ; Physiological aspects ; Proteins ; Public Health ; Quantitation ; Recovery ; Solid phases ; technical-report</subject><ispartof>International Journal of Obesity, 2020-12, Vol.44 (12), p.2372-2381</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020</rights><rights>COPYRIGHT 2020 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-c9ee12f8c02da9054a209a086d56f62feca07ca9e674aa8bae55c336b3be76fa3</citedby><cites>FETCH-LOGICAL-c480t-c9ee12f8c02da9054a209a086d56f62feca07ca9e674aa8bae55c336b3be76fa3</cites><orcidid>0000-0002-5436-7428 ; 0000-0002-7640-8833</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41366-020-0628-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41366-020-0628-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32541919$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>González-Domínguez, Raúl</creatorcontrib><creatorcontrib>Jáuregui, Olga</creatorcontrib><creatorcontrib>Mena, Pedro</creatorcontrib><creatorcontrib>Hanhineva, Kati</creatorcontrib><creatorcontrib>Tinahones, Francisco José</creatorcontrib><creatorcontrib>Angelino, Donato</creatorcontrib><creatorcontrib>Andrés-Lacueva, Cristina</creatorcontrib><title>Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Background
Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory.
Methods
In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal.
Results
After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites.
Conclusions
The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.</description><subject>101/47</subject><subject>101/58</subject><subject>692/308/575</subject><subject>692/700/2814</subject><subject>Bioavailability</subject><subject>Blood</subject><subject>Chemical precipitation</subject><subject>Complexity</subject><subject>Crosstalk</subject><subject>Diet</subject><subject>Epidemiology</subject><subject>Food</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>High performance liquid chromatography</subject><subject>Identification and classification</subject><subject>Internal Medicine</subject><subject>Linearity</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medicine, Experimental</subject><subject>Metabolic Diseases</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Nutrition</subject><subject>Optimization</subject><subject>Phospholipids</subject><subject>Physiological aspects</subject><subject>Proteins</subject><subject>Public Health</subject><subject>Quantitation</subject><subject>Recovery</subject><subject>Solid phases</subject><subject>technical-report</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kt2KFDEQhYMo7rj6AN5IQPCu1_x00t2Xy-IfLIig16G6uzKTtTtZk7Qyr-ETm5leHReUXAQq36lwqg4hzzm74Ey2r1PNpdYVE6xiWrQVf0A2vG50pequeUg2TLKmYkqrM_IkpRvGmFJMPCZnUqiad7zbkJ-fFvDZ2b3zW5p3SHfLDJ6ODjN1_lgZYkgpw_SV9ph_IHrqlxxddsFT8CPdIUx5R_s9nZcpuypD3GLGkc6YoQ9TmN2QaLDUhjAeFaUQQ-9ChmrE6L6fWJcxPSWPLEwJn93d5-TL2zefr95X1x_ffbi6vK6GumW5GjpELmw7MDFCx1QNgnXAWj0qbbWwOABrBuhQNzVA2wMqNUipe9ljoy3Ic_Jy7Xsbw7cFUzY3YYm-fGlE3UjBO63kidrChMZ5G3KEYXZpMJdasVYpIbtCXfyDKmfEYjZ4tK7U7wle_SVYR5jCtBymmu6DfAWPa4hozW10M8S94cwcUmDWFJiSAnNIgeFF8-LO2dLPOP5R_F57AcQKpPLktxhP1v_f9Re8N75b</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>González-Domínguez, Raúl</creator><creator>Jáuregui, Olga</creator><creator>Mena, Pedro</creator><creator>Hanhineva, 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Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>González-Domínguez, Raúl</au><au>Jáuregui, Olga</au><au>Mena, Pedro</au><au>Hanhineva, Kati</au><au>Tinahones, Francisco José</au><au>Angelino, Donato</au><au>Andrés-Lacueva, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>44</volume><issue>12</issue><spage>2372</spage><epage>2381</epage><pages>2372-2381</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Background
Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory.
Methods
In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal.
Results
After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites.
Conclusions
The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32541919</pmid><doi>10.1038/s41366-020-0628-1</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5436-7428</orcidid><orcidid>https://orcid.org/0000-0002-7640-8833</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0307-0565 |
| ispartof | International Journal of Obesity, 2020-12, Vol.44 (12), p.2372-2381 |
| issn | 0307-0565 1476-5497 |
| language | eng |
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| source | SpringerLink Journals; Nature Journals Online |
| subjects | 101/47 101/58 692/308/575 692/700/2814 Bioavailability Blood Chemical precipitation Complexity Crosstalk Diet Epidemiology Food Health aspects Health Promotion and Disease Prevention High performance liquid chromatography Identification and classification Internal Medicine Linearity Liquid chromatography Mass spectrometry Mass spectroscopy Medical research Medicine Medicine & Public Health Medicine, Experimental Metabolic Diseases Metabolites Metabolomics Microbiota Microbiota (Symbiotic organisms) Nutrition Optimization Phospholipids Physiological aspects Proteins Public Health Quantitation Recovery Solid phases technical-report |
| title | Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites |
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