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Cross‐Sectional Study: New Approach for Diagnostic Identification of Non‐Robust Older Adult

Scope The aging biomarkers are alternatives and none of them can act as a strong predictor of frailty during the progression of aging. Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota...

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Published in:Molecular nutrition & food research 2023-07, Vol.67 (13), p.e2300056-n/a
Main Authors: Wen, Chiung‐Jung, Koh, Yen‐Chun, Tung, Yen‐Chen, Ho, Pin‐Yu, Hsieh, Shu‐Chen, Lo, Yi‐Chen, Tsai, Jaw‐Shiun, Pan, Min‐Hsiung
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container_issue 13
container_start_page e2300056
container_title Molecular nutrition & food research
container_volume 67
creator Wen, Chiung‐Jung
Koh, Yen‐Chun
Tung, Yen‐Chen
Ho, Pin‐Yu
Hsieh, Shu‐Chen
Lo, Yi‐Chen
Tsai, Jaw‐Shiun
Pan, Min‐Hsiung
description Scope The aging biomarkers are alternatives and none of them can act as a strong predictor of frailty during the progression of aging. Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota in non‐robust older adults has not been discussed yet. The study aims to combine the findings of serum metabolites and gut microbiota in non‐robust subjects as a possible diagnostic biomarker. Methods and results Frailty‐related assessments are conducted to ensure the discrimination of non‐robustness. The serum and fecal are collected for serum metabolomics and gut microbiota analysis. Robust and non‐robust subjects show very different gut microbial compositions. Among the gut microbial differences, Escherichia/Shigella and its higher taxonomic ranks are found to have the most discriminative abundance among compared groups. More importantly, the abundance of Escherichia/Shigella is found to be positively correlated (p < 0.05) with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine. Conclusion These results indicate the obvious interrelation between gut microbiota and serum metabolites in non‐robust older adults. Besides, the findings suggest that Escherichia/Shigella can be a potential biomarker candidate for robustness sub‐phenotypic identification. The abundance of Escherichia/Shigella is found to be positively correlated with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine.
doi_str_mv 10.1002/mnfr.202300056
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Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota in non‐robust older adults has not been discussed yet. The study aims to combine the findings of serum metabolites and gut microbiota in non‐robust subjects as a possible diagnostic biomarker. Methods and results Frailty‐related assessments are conducted to ensure the discrimination of non‐robustness. The serum and fecal are collected for serum metabolomics and gut microbiota analysis. Robust and non‐robust subjects show very different gut microbial compositions. Among the gut microbial differences, Escherichia/Shigella and its higher taxonomic ranks are found to have the most discriminative abundance among compared groups. More importantly, the abundance of Escherichia/Shigella is found to be positively correlated (p &lt; 0.05) with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine. Conclusion These results indicate the obvious interrelation between gut microbiota and serum metabolites in non‐robust older adults. Besides, the findings suggest that Escherichia/Shigella can be a potential biomarker candidate for robustness sub‐phenotypic identification. The abundance of Escherichia/Shigella is found to be positively correlated with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine.</description><identifier>ISSN: 1613-4125</identifier><identifier>EISSN: 1613-4133</identifier><identifier>DOI: 10.1002/mnfr.202300056</identifier><identifier>PMID: 37154673</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Abundance ; Adults ; Aged ; Aging ; Biomarkers ; Cross-Sectional Studies ; Diagnostic systems ; Escherichia ; Escherichia/Shigella ; Feces ; Frailty ; Gastrointestinal Microbiome ; Glutamic acid ; Humans ; Intestinal microflora ; Metabolites ; Metabolomics ; Microbiota ; Microorganisms ; Older people ; Proteobacteria ; RNA, Ribosomal, 16S ; Robustness ; serum metabolites ; Shigella</subject><ispartof>Molecular nutrition &amp; food research, 2023-07, Vol.67 (13), p.e2300056-n/a</ispartof><rights>2023 Wiley‐VCH GmbH</rights><rights>2023 Wiley-VCH GmbH.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3683-74134ac9a09797c63a4ad17aa12d9ae6883b6c1640077214c68fd554968bb67c3</citedby><cites>FETCH-LOGICAL-c3683-74134ac9a09797c63a4ad17aa12d9ae6883b6c1640077214c68fd554968bb67c3</cites><orcidid>0000-0001-7683-873X ; 0000-0002-5188-7030</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37154673$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wen, Chiung‐Jung</creatorcontrib><creatorcontrib>Koh, Yen‐Chun</creatorcontrib><creatorcontrib>Tung, Yen‐Chen</creatorcontrib><creatorcontrib>Ho, Pin‐Yu</creatorcontrib><creatorcontrib>Hsieh, Shu‐Chen</creatorcontrib><creatorcontrib>Lo, Yi‐Chen</creatorcontrib><creatorcontrib>Tsai, Jaw‐Shiun</creatorcontrib><creatorcontrib>Pan, Min‐Hsiung</creatorcontrib><title>Cross‐Sectional Study: New Approach for Diagnostic Identification of Non‐Robust Older Adult</title><title>Molecular nutrition &amp; food research</title><addtitle>Mol Nutr Food Res</addtitle><description>Scope The aging biomarkers are alternatives and none of them can act as a strong predictor of frailty during the progression of aging. Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota in non‐robust older adults has not been discussed yet. The study aims to combine the findings of serum metabolites and gut microbiota in non‐robust subjects as a possible diagnostic biomarker. Methods and results Frailty‐related assessments are conducted to ensure the discrimination of non‐robustness. The serum and fecal are collected for serum metabolomics and gut microbiota analysis. Robust and non‐robust subjects show very different gut microbial compositions. Among the gut microbial differences, Escherichia/Shigella and its higher taxonomic ranks are found to have the most discriminative abundance among compared groups. More importantly, the abundance of Escherichia/Shigella is found to be positively correlated (p &lt; 0.05) with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine. Conclusion These results indicate the obvious interrelation between gut microbiota and serum metabolites in non‐robust older adults. Besides, the findings suggest that Escherichia/Shigella can be a potential biomarker candidate for robustness sub‐phenotypic identification. 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food research</jtitle><addtitle>Mol Nutr Food Res</addtitle><date>2023-07</date><risdate>2023</risdate><volume>67</volume><issue>13</issue><spage>e2300056</spage><epage>n/a</epage><pages>e2300056-n/a</pages><issn>1613-4125</issn><eissn>1613-4133</eissn><abstract>Scope The aging biomarkers are alternatives and none of them can act as a strong predictor of frailty during the progression of aging. Several studies reveal the relationship between metabolites and frailty or gut microbiota and frailty. However, the connection between metabolites and gut microbiota in non‐robust older adults has not been discussed yet. The study aims to combine the findings of serum metabolites and gut microbiota in non‐robust subjects as a possible diagnostic biomarker. Methods and results Frailty‐related assessments are conducted to ensure the discrimination of non‐robustness. The serum and fecal are collected for serum metabolomics and gut microbiota analysis. Robust and non‐robust subjects show very different gut microbial compositions. Among the gut microbial differences, Escherichia/Shigella and its higher taxonomic ranks are found to have the most discriminative abundance among compared groups. More importantly, the abundance of Escherichia/Shigella is found to be positively correlated (p &lt; 0.05) with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine. Conclusion These results indicate the obvious interrelation between gut microbiota and serum metabolites in non‐robust older adults. Besides, the findings suggest that Escherichia/Shigella can be a potential biomarker candidate for robustness sub‐phenotypic identification. The abundance of Escherichia/Shigella is found to be positively correlated with the level of discriminant metabolites, such as serum oxoglutarate, glutamic acid, and 1‐methyladenosine.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37154673</pmid><doi>10.1002/mnfr.202300056</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7683-873X</orcidid><orcidid>https://orcid.org/0000-0002-5188-7030</orcidid></addata></record>
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subjects Abundance
Adults
Aged
Aging
Biomarkers
Cross-Sectional Studies
Diagnostic systems
Escherichia
Escherichia/Shigella
Feces
Frailty
Gastrointestinal Microbiome
Glutamic acid
Humans
Intestinal microflora
Metabolites
Metabolomics
Microbiota
Microorganisms
Older people
Proteobacteria
RNA, Ribosomal, 16S
Robustness
serum metabolites
Shigella
title Cross‐Sectional Study: New Approach for Diagnostic Identification of Non‐Robust Older Adult
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