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Estimation of the bioaccessibility and bioavailability of Fe, Mn, Cu, and Zn in Chinese vegetables using the in vitro digestion/Caco-2 cell model: the influence of gut microbiota
The influence of the human gut microbiota on the bioaccessibility and bioavailability of trace elements in vegetables has barely been studied. An in vitro digestion model combining the physiologically based extraction test (PBET) and the Simulator of Human Intestinal Microbial Ecosystem (SHIME) was...
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Published in: | Food & function 2017-12, Vol.8 (12), p.4592-4600 |
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description | The influence of the human gut microbiota on the bioaccessibility and bioavailability of trace elements in vegetables has barely been studied. An in vitro digestion model combining the physiologically based extraction test (PBET) and the Simulator of Human Intestinal Microbial Ecosystem (SHIME) was applied. Results showed that the gut microbiota increased the bioaccessibility of iron (Fe) in ten test vegetables by 1.3-1.8 times, but reduced the bioaccessibility of manganese (Mn), copper (Cu), and zinc (Zn) in vegetables in the colon phase by 3.7% to 89.6%, 24.8% to 100.0%, and 59.9% to 100.0%, respectively. Using the Caco-2 cell model to simulate the human absorption process, the bioavailable contents and the bioavailability of the trace elements were further determined. Swamp cabbage was the best source of Fe and Cu; spinach and lettuce provided the highest amounts of bioavailable Mn and Zn, respectively. Referring to the daily reference intakes of trace elements, the obtained data provide a scientific basis for both reasonable ingestion of vegetables in diets and diversification of diets. |
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An in vitro digestion model combining the physiologically based extraction test (PBET) and the Simulator of Human Intestinal Microbial Ecosystem (SHIME) was applied. Results showed that the gut microbiota increased the bioaccessibility of iron (Fe) in ten test vegetables by 1.3-1.8 times, but reduced the bioaccessibility of manganese (Mn), copper (Cu), and zinc (Zn) in vegetables in the colon phase by 3.7% to 89.6%, 24.8% to 100.0%, and 59.9% to 100.0%, respectively. Using the Caco-2 cell model to simulate the human absorption process, the bioavailable contents and the bioavailability of the trace elements were further determined. Swamp cabbage was the best source of Fe and Cu; spinach and lettuce provided the highest amounts of bioavailable Mn and Zn, respectively. Referring to the daily reference intakes of trace elements, the obtained data provide a scientific basis for both reasonable ingestion of vegetables in diets and diversification of diets.</description><identifier>ISSN: 2042-6496</identifier><identifier>EISSN: 2042-650X</identifier><identifier>DOI: 10.1039/c7fo01348e</identifier><identifier>PMID: 29236119</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Bioavailability ; Biological Availability ; Caco-2 Cells ; China ; Colon ; Computer simulation ; Copper ; Copper - analysis ; Copper - metabolism ; Diet ; Digestion ; Digestive system ; Gastrointestinal Microbiome ; Gastrointestinal tract ; Humans ; Ingestion ; Intestinal microflora ; Intestine ; Intestines - metabolism ; Intestines - microbiology ; Iron ; Iron - analysis ; Iron - metabolism ; Manganese ; Manganese - analysis ; Manganese - metabolism ; Microbiota ; Microorganisms ; Models, Biological ; Spinach ; Trace elements ; Trace Elements - analysis ; Trace Elements - metabolism ; Vegetables ; Vegetables - chemistry ; Vegetables - metabolism ; Zinc ; Zinc - analysis ; Zinc - metabolism</subject><ispartof>Food & function, 2017-12, Vol.8 (12), p.4592-4600</ispartof><rights>Copyright Royal Society of Chemistry 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c315t-6f653ca73fd2036a6d3a4efd6ad07dd08d7679f830b327e4bb19ad095c15da9d3</citedby><cites>FETCH-LOGICAL-c315t-6f653ca73fd2036a6d3a4efd6ad07dd08d7679f830b327e4bb19ad095c15da9d3</cites><orcidid>0000-0002-7805-1567 ; 0000-0001-9274-432X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29236119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cai, Xiaolin</creatorcontrib><creatorcontrib>Chen, Xiaochen</creatorcontrib><creatorcontrib>Yin, Naiyi</creatorcontrib><creatorcontrib>Du, Huili</creatorcontrib><creatorcontrib>Sun, Guoxin</creatorcontrib><creatorcontrib>Wang, Lihong</creatorcontrib><creatorcontrib>Xu, Yudong</creatorcontrib><creatorcontrib>Chen, Yuqing</creatorcontrib><creatorcontrib>Cui, Yanshan</creatorcontrib><title>Estimation of the bioaccessibility and bioavailability of Fe, Mn, Cu, and Zn in Chinese vegetables using the in vitro digestion/Caco-2 cell model: the influence of gut microbiota</title><title>Food & function</title><addtitle>Food Funct</addtitle><description>The influence of the human gut microbiota on the bioaccessibility and bioavailability of trace elements in vegetables has barely been studied. An in vitro digestion model combining the physiologically based extraction test (PBET) and the Simulator of Human Intestinal Microbial Ecosystem (SHIME) was applied. Results showed that the gut microbiota increased the bioaccessibility of iron (Fe) in ten test vegetables by 1.3-1.8 times, but reduced the bioaccessibility of manganese (Mn), copper (Cu), and zinc (Zn) in vegetables in the colon phase by 3.7% to 89.6%, 24.8% to 100.0%, and 59.9% to 100.0%, respectively. Using the Caco-2 cell model to simulate the human absorption process, the bioavailable contents and the bioavailability of the trace elements were further determined. Swamp cabbage was the best source of Fe and Cu; spinach and lettuce provided the highest amounts of bioavailable Mn and Zn, respectively. Referring to the daily reference intakes of trace elements, the obtained data provide a scientific basis for both reasonable ingestion of vegetables in diets and diversification of diets.</description><subject>Bioavailability</subject><subject>Biological Availability</subject><subject>Caco-2 Cells</subject><subject>China</subject><subject>Colon</subject><subject>Computer simulation</subject><subject>Copper</subject><subject>Copper - analysis</subject><subject>Copper - metabolism</subject><subject>Diet</subject><subject>Digestion</subject><subject>Digestive system</subject><subject>Gastrointestinal Microbiome</subject><subject>Gastrointestinal tract</subject><subject>Humans</subject><subject>Ingestion</subject><subject>Intestinal microflora</subject><subject>Intestine</subject><subject>Intestines - metabolism</subject><subject>Intestines - microbiology</subject><subject>Iron</subject><subject>Iron - analysis</subject><subject>Iron - metabolism</subject><subject>Manganese</subject><subject>Manganese - analysis</subject><subject>Manganese - metabolism</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Models, Biological</subject><subject>Spinach</subject><subject>Trace elements</subject><subject>Trace Elements - analysis</subject><subject>Trace Elements - metabolism</subject><subject>Vegetables</subject><subject>Vegetables - chemistry</subject><subject>Vegetables - metabolism</subject><subject>Zinc</subject><subject>Zinc - analysis</subject><subject>Zinc - metabolism</subject><issn>2042-6496</issn><issn>2042-650X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpdkcFq3DAQhkVpyIZ0L3mAIuillHUjWbZs9VbMbhJIyKWFkIuRpdFGiy1tLXkhr5UnjHaz6SG6SMx8_PNrfoQuKPlJCROXqjKeUFbU8Amd5aTIM16Sh8_v70LwGZqHsCHpMCFqUZ-iWS5yxikVZ-hlGaIdZLTeYW9wfALcWS-VghBsZ3sbn7F0-lDcSdvLYy2xK1jgO7fAzbQ4II8OW4ebJ-sgAN7BGqLsegh4CtatD9Kpv7Nx9FjbNYT90MtGKp_lWEHf48Fr6H8dSdNP4BTsJ62niAerRp9cRPkFnRjZB5gf73P0d7X801xnt_dXN83v20wxWsaMG14yJStmdE4Yl1wzWYDRXGpSaU1qXfFKmJqRjuUVFF1HRWqJUtFSS6HZOfr-prsd_b8p2W0HG_Y-pQM_hZaKihdF2ipL6LcP6MZPo0vu2pxQUvO6rGmifrxR6SchjGDa7Zh2Pz63lLT7MNumWt0fwlwm-OtRcuoG0P_R9-jYK1fDmxI</recordid><startdate>20171213</startdate><enddate>20171213</enddate><creator>Cai, Xiaolin</creator><creator>Chen, Xiaochen</creator><creator>Yin, Naiyi</creator><creator>Du, Huili</creator><creator>Sun, Guoxin</creator><creator>Wang, Lihong</creator><creator>Xu, Yudong</creator><creator>Chen, Yuqing</creator><creator>Cui, Yanshan</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7T7</scope><scope>7TO</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7805-1567</orcidid><orcidid>https://orcid.org/0000-0001-9274-432X</orcidid></search><sort><creationdate>20171213</creationdate><title>Estimation of the bioaccessibility and bioavailability of Fe, Mn, Cu, and Zn in Chinese vegetables using the in vitro digestion/Caco-2 cell model: the influence of gut microbiota</title><author>Cai, Xiaolin ; Chen, Xiaochen ; Yin, Naiyi ; Du, Huili ; Sun, Guoxin ; Wang, Lihong ; Xu, Yudong ; Chen, Yuqing ; Cui, Yanshan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c315t-6f653ca73fd2036a6d3a4efd6ad07dd08d7679f830b327e4bb19ad095c15da9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bioavailability</topic><topic>Biological Availability</topic><topic>Caco-2 Cells</topic><topic>China</topic><topic>Colon</topic><topic>Computer simulation</topic><topic>Copper</topic><topic>Copper - analysis</topic><topic>Copper - metabolism</topic><topic>Diet</topic><topic>Digestion</topic><topic>Digestive system</topic><topic>Gastrointestinal Microbiome</topic><topic>Gastrointestinal tract</topic><topic>Humans</topic><topic>Ingestion</topic><topic>Intestinal microflora</topic><topic>Intestine</topic><topic>Intestines - metabolism</topic><topic>Intestines - microbiology</topic><topic>Iron</topic><topic>Iron - analysis</topic><topic>Iron - metabolism</topic><topic>Manganese</topic><topic>Manganese - analysis</topic><topic>Manganese - metabolism</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Models, Biological</topic><topic>Spinach</topic><topic>Trace elements</topic><topic>Trace Elements - analysis</topic><topic>Trace Elements - metabolism</topic><topic>Vegetables</topic><topic>Vegetables - chemistry</topic><topic>Vegetables - metabolism</topic><topic>Zinc</topic><topic>Zinc - analysis</topic><topic>Zinc - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cai, Xiaolin</creatorcontrib><creatorcontrib>Chen, Xiaochen</creatorcontrib><creatorcontrib>Yin, Naiyi</creatorcontrib><creatorcontrib>Du, Huili</creatorcontrib><creatorcontrib>Sun, Guoxin</creatorcontrib><creatorcontrib>Wang, Lihong</creatorcontrib><creatorcontrib>Xu, Yudong</creatorcontrib><creatorcontrib>Chen, Yuqing</creatorcontrib><creatorcontrib>Cui, Yanshan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Food & function</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cai, Xiaolin</au><au>Chen, Xiaochen</au><au>Yin, Naiyi</au><au>Du, Huili</au><au>Sun, Guoxin</au><au>Wang, Lihong</au><au>Xu, Yudong</au><au>Chen, Yuqing</au><au>Cui, Yanshan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of the bioaccessibility and bioavailability of Fe, Mn, Cu, and Zn in Chinese vegetables using the in vitro digestion/Caco-2 cell model: the influence of gut microbiota</atitle><jtitle>Food & function</jtitle><addtitle>Food Funct</addtitle><date>2017-12-13</date><risdate>2017</risdate><volume>8</volume><issue>12</issue><spage>4592</spage><epage>4600</epage><pages>4592-4600</pages><issn>2042-6496</issn><eissn>2042-650X</eissn><abstract>The influence of the human gut microbiota on the bioaccessibility and bioavailability of trace elements in vegetables has barely been studied. An in vitro digestion model combining the physiologically based extraction test (PBET) and the Simulator of Human Intestinal Microbial Ecosystem (SHIME) was applied. Results showed that the gut microbiota increased the bioaccessibility of iron (Fe) in ten test vegetables by 1.3-1.8 times, but reduced the bioaccessibility of manganese (Mn), copper (Cu), and zinc (Zn) in vegetables in the colon phase by 3.7% to 89.6%, 24.8% to 100.0%, and 59.9% to 100.0%, respectively. Using the Caco-2 cell model to simulate the human absorption process, the bioavailable contents and the bioavailability of the trace elements were further determined. Swamp cabbage was the best source of Fe and Cu; spinach and lettuce provided the highest amounts of bioavailable Mn and Zn, respectively. Referring to the daily reference intakes of trace elements, the obtained data provide a scientific basis for both reasonable ingestion of vegetables in diets and diversification of diets.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>29236119</pmid><doi>10.1039/c7fo01348e</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7805-1567</orcidid><orcidid>https://orcid.org/0000-0001-9274-432X</orcidid></addata></record> |
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subjects | Bioavailability Biological Availability Caco-2 Cells China Colon Computer simulation Copper Copper - analysis Copper - metabolism Diet Digestion Digestive system Gastrointestinal Microbiome Gastrointestinal tract Humans Ingestion Intestinal microflora Intestine Intestines - metabolism Intestines - microbiology Iron Iron - analysis Iron - metabolism Manganese Manganese - analysis Manganese - metabolism Microbiota Microorganisms Models, Biological Spinach Trace elements Trace Elements - analysis Trace Elements - metabolism Vegetables Vegetables - chemistry Vegetables - metabolism Zinc Zinc - analysis Zinc - metabolism |
title | Estimation of the bioaccessibility and bioavailability of Fe, Mn, Cu, and Zn in Chinese vegetables using the in vitro digestion/Caco-2 cell model: the influence of gut microbiota |
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