Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China
The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43–79 years...
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| creator | Ai, Xu Liu, Yu Shi, Jinrong Xie, Xiongwei Li, Linzi Duan, Rui Lv, Yongling Xiong, Kai Miao, Yuanxin Zhang, Yonglian |
| description | The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43–79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51–70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that
Firmicutes
,
Proteobacteria
, and
Bacteroidota
are the core phyla in all groups. Compared to younger elderly individuals,
Akkermansia
and
Lactobacillus
are significantly enriched in the long-lived elderly group, while
Megamonas
is significantly reduced. In addition, a high abundance of
Akkermansia
is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM.
Key points
• The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity
• Gut microbiota diversity did not differ significantly between genders in the elderly population
• Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals |
| doi_str_mv | 10.1007/s00253-024-13140-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11018559</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3038468186</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-9502d504cc46d63cbc1491d17a959938d037eb4b04dca3849691f1cb3ae37e233</originalsourceid><addsrcrecordid>eNqFkTtvFDEUhS0EIpvAH6BAlmgoMnDv-DF2haIVIUiRKICKwvJ4PLuOZsfB9gTl3-NlQ3gUUFny-Xx8zz2EPEN4hQDd6wzQCtZAyxtkyKFhD8gKOWsbkMgfkhVgJ5pOaHVEjnO-AsBWSfmYHDElUXcIK_LlY0mLK0uyE3Vbm6wrPoVcgss0jnSzFLoLLsU-xGJpmOkU542_CeWWjinu6Hpr503exoWW-G0-pRdL78NpvQ6zfUIejXbK_undeUI-n7_9tL5oLj-8e78-u2wcF7o0WkA7CODOcTlI5nqHXOOAndVCa6YGYJ3veQ98cJYprqXGEV3PrK9Cy9gJeXPwvV76nR-cn0uNY65T2Nl0a6IN5k9lDluziTcGEVAJoavDyzuHFL8uPhezC9n5abKzj0s2DAWTKFTX_R8FptsKA6_oi7_Qq7ikua5iTykuFSpZqfZA1S3nnPx4PziC2fdsDj2b2rP50bPZR37-e-T7Jz-LrQA7ALlKtbH06-9_2H4HcDOzCA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3038468186</pqid></control><display><type>article</type><title>Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>Springer Nature OA Free Journals</source><source>Alma/SFX Local Collection</source><creator>Ai, Xu ; Liu, Yu ; Shi, Jinrong ; Xie, Xiongwei ; Li, Linzi ; Duan, Rui ; Lv, Yongling ; Xiong, Kai ; Miao, Yuanxin ; Zhang, Yonglian</creator><creatorcontrib>Ai, Xu ; Liu, Yu ; Shi, Jinrong ; Xie, Xiongwei ; Li, Linzi ; Duan, Rui ; Lv, Yongling ; Xiong, Kai ; Miao, Yuanxin ; Zhang, Yonglian</creatorcontrib><description>The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43–79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51–70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that
Firmicutes
,
Proteobacteria
, and
Bacteroidota
are the core phyla in all groups. Compared to younger elderly individuals,
Akkermansia
and
Lactobacillus
are significantly enriched in the long-lived elderly group, while
Megamonas
is significantly reduced. In addition, a high abundance of
Akkermansia
is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM.
Key points
• The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity
• Gut microbiota diversity did not differ significantly between genders in the elderly population
• Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals</description><identifier>ISSN: 0175-7598</identifier><identifier>EISSN: 1432-0614</identifier><identifier>DOI: 10.1007/s00253-024-13140-3</identifier><identifier>PMID: 38619710</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Age ; Aged ; Aged, 80 and over ; Akkermansia ; amino acid metabolism ; Amino acids ; Bacteroidetes ; Biodegradation ; Biomedical and Life Sciences ; Biotechnology ; Body mass index ; Body size ; China ; elderly ; fatty acid metabolism ; Feces ; Female ; Gastrointestinal Microbiome ; Genomics ; Genomics, Transcriptomics, Proteomics ; Humans ; Intestinal microflora ; intestinal microorganisms ; Lactobacillus ; Life Sciences ; Longevity ; Male ; Megamonas ; Metabolism ; Microbial Genetics and Genomics ; Microbiology ; microbiome ; Microbiomes ; Microbiota ; Microorganisms ; Middle age ; Middle Aged ; Next-generation sequencing ; Older people ; prediction ; Proteobacteria ; Proteomics ; rRNA 16S ; short chain fatty acids ; species diversity ; Technology assessment ; Transcriptomics ; xenobiotics</subject><ispartof>Applied microbiology and biotechnology, 2024-12, Vol.108 (1), p.300-300, Article 300</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c459t-9502d504cc46d63cbc1491d17a959938d037eb4b04dca3849691f1cb3ae37e233</cites><orcidid>0009-0006-8530-8347</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00253-024-13140-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00253-024-13140-3$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41101,41469,42170,42538,51300,51557</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38619710$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ai, Xu</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Shi, Jinrong</creatorcontrib><creatorcontrib>Xie, Xiongwei</creatorcontrib><creatorcontrib>Li, Linzi</creatorcontrib><creatorcontrib>Duan, Rui</creatorcontrib><creatorcontrib>Lv, Yongling</creatorcontrib><creatorcontrib>Xiong, Kai</creatorcontrib><creatorcontrib>Miao, Yuanxin</creatorcontrib><creatorcontrib>Zhang, Yonglian</creatorcontrib><title>Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China</title><title>Applied microbiology and biotechnology</title><addtitle>Appl Microbiol Biotechnol</addtitle><addtitle>Appl Microbiol Biotechnol</addtitle><description>The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43–79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51–70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that
Firmicutes
,
Proteobacteria
, and
Bacteroidota
are the core phyla in all groups. Compared to younger elderly individuals,
Akkermansia
and
Lactobacillus
are significantly enriched in the long-lived elderly group, while
Megamonas
is significantly reduced. In addition, a high abundance of
Akkermansia
is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM.
Key points
• The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity
• Gut microbiota diversity did not differ significantly between genders in the elderly population
• Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Akkermansia</subject><subject>amino acid metabolism</subject><subject>Amino acids</subject><subject>Bacteroidetes</subject><subject>Biodegradation</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Body mass index</subject><subject>Body size</subject><subject>China</subject><subject>elderly</subject><subject>fatty acid metabolism</subject><subject>Feces</subject><subject>Female</subject><subject>Gastrointestinal Microbiome</subject><subject>Genomics</subject><subject>Genomics, Transcriptomics, Proteomics</subject><subject>Humans</subject><subject>Intestinal microflora</subject><subject>intestinal microorganisms</subject><subject>Lactobacillus</subject><subject>Life Sciences</subject><subject>Longevity</subject><subject>Male</subject><subject>Megamonas</subject><subject>Metabolism</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>microbiome</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Microorganisms</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>Next-generation sequencing</subject><subject>Older people</subject><subject>prediction</subject><subject>Proteobacteria</subject><subject>Proteomics</subject><subject>rRNA 16S</subject><subject>short chain fatty acids</subject><subject>species diversity</subject><subject>Technology assessment</subject><subject>Transcriptomics</subject><subject>xenobiotics</subject><issn>0175-7598</issn><issn>1432-0614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNqFkTtvFDEUhS0EIpvAH6BAlmgoMnDv-DF2haIVIUiRKICKwvJ4PLuOZsfB9gTl3-NlQ3gUUFny-Xx8zz2EPEN4hQDd6wzQCtZAyxtkyKFhD8gKOWsbkMgfkhVgJ5pOaHVEjnO-AsBWSfmYHDElUXcIK_LlY0mLK0uyE3Vbm6wrPoVcgss0jnSzFLoLLsU-xGJpmOkU542_CeWWjinu6Hpr503exoWW-G0-pRdL78NpvQ6zfUIejXbK_undeUI-n7_9tL5oLj-8e78-u2wcF7o0WkA7CODOcTlI5nqHXOOAndVCa6YGYJ3veQ98cJYprqXGEV3PrK9Cy9gJeXPwvV76nR-cn0uNY65T2Nl0a6IN5k9lDluziTcGEVAJoavDyzuHFL8uPhezC9n5abKzj0s2DAWTKFTX_R8FptsKA6_oi7_Qq7ikua5iTykuFSpZqfZA1S3nnPx4PziC2fdsDj2b2rP50bPZR37-e-T7Jz-LrQA7ALlKtbH06-9_2H4HcDOzCA</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Ai, Xu</creator><creator>Liu, Yu</creator><creator>Shi, Jinrong</creator><creator>Xie, Xiongwei</creator><creator>Li, Linzi</creator><creator>Duan, Rui</creator><creator>Lv, Yongling</creator><creator>Xiong, Kai</creator><creator>Miao, Yuanxin</creator><creator>Zhang, Yonglian</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7QL</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0006-8530-8347</orcidid></search><sort><creationdate>20241201</creationdate><title>Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China</title><author>Ai, Xu ; Liu, Yu ; Shi, Jinrong ; Xie, Xiongwei ; Li, Linzi ; Duan, Rui ; Lv, Yongling ; Xiong, Kai ; Miao, Yuanxin ; Zhang, Yonglian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-9502d504cc46d63cbc1491d17a959938d037eb4b04dca3849691f1cb3ae37e233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Akkermansia</topic><topic>amino acid metabolism</topic><topic>Amino acids</topic><topic>Bacteroidetes</topic><topic>Biodegradation</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Body mass index</topic><topic>Body size</topic><topic>China</topic><topic>elderly</topic><topic>fatty acid metabolism</topic><topic>Feces</topic><topic>Female</topic><topic>Gastrointestinal Microbiome</topic><topic>Genomics</topic><topic>Genomics, Transcriptomics, Proteomics</topic><topic>Humans</topic><topic>Intestinal microflora</topic><topic>intestinal microorganisms</topic><topic>Lactobacillus</topic><topic>Life Sciences</topic><topic>Longevity</topic><topic>Male</topic><topic>Megamonas</topic><topic>Metabolism</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiology</topic><topic>microbiome</topic><topic>Microbiomes</topic><topic>Microbiota</topic><topic>Microorganisms</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>Next-generation sequencing</topic><topic>Older people</topic><topic>prediction</topic><topic>Proteobacteria</topic><topic>Proteomics</topic><topic>rRNA 16S</topic><topic>short chain fatty acids</topic><topic>species diversity</topic><topic>Technology assessment</topic><topic>Transcriptomics</topic><topic>xenobiotics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ai, Xu</creatorcontrib><creatorcontrib>Liu, Yu</creatorcontrib><creatorcontrib>Shi, Jinrong</creatorcontrib><creatorcontrib>Xie, Xiongwei</creatorcontrib><creatorcontrib>Li, Linzi</creatorcontrib><creatorcontrib>Duan, Rui</creatorcontrib><creatorcontrib>Lv, Yongling</creatorcontrib><creatorcontrib>Xiong, Kai</creatorcontrib><creatorcontrib>Miao, Yuanxin</creatorcontrib><creatorcontrib>Zhang, Yonglian</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Applied microbiology and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ai, Xu</au><au>Liu, Yu</au><au>Shi, Jinrong</au><au>Xie, Xiongwei</au><au>Li, Linzi</au><au>Duan, Rui</au><au>Lv, Yongling</au><au>Xiong, Kai</au><au>Miao, Yuanxin</au><au>Zhang, Yonglian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China</atitle><jtitle>Applied microbiology and biotechnology</jtitle><stitle>Appl Microbiol Biotechnol</stitle><addtitle>Appl Microbiol Biotechnol</addtitle><date>2024-12-01</date><risdate>2024</risdate><volume>108</volume><issue>1</issue><spage>300</spage><epage>300</epage><pages>300-300</pages><artnum>300</artnum><issn>0175-7598</issn><eissn>1432-0614</eissn><abstract>The gut microbiota (GM) and its potential functions play a crucial role in maintaining host health and longevity. The aim of this study was to investigate the potential relationship between GM and longevity. We collected fecal samples from 92 healthy volunteers (middle-aged and elderly: 43–79 years old; longevity: ≥ 90 years old) from Changshou Town, Zhongxiang City, Hubei, China. In addition, we collected samples from 30 healthy middle-aged and elderly controls (aged 51–70 years) from Wuhan, Hubei. The 16S rDNA V3 + V4 region of the fecal samples was sequenced using high-throughput sequencing technology. Diversity analysis results showed that the elderly group with longevity and the elderly group with low body mass index (BMI) exhibited higher α diversity. However, no significant difference was observed in β diversity. The results of the microbiome composition indicate that
Firmicutes
,
Proteobacteria
, and
Bacteroidota
are the core phyla in all groups. Compared to younger elderly individuals,
Akkermansia
and
Lactobacillus
are significantly enriched in the long-lived elderly group, while
Megamonas
is significantly reduced. In addition, a high abundance of
Akkermansia
is a significant characteristic of elderly populations with low BMI values. Furthermore, the functional prediction results showed that the elderly longevity group had higher abilities in short-chain fatty acid metabolism, amino acid metabolism, and xenobiotic biodegradation. Taken together, our study provides characteristic information on GM in the long-lived elderly population in Changshou Town. This study can serve as a valuable addition to the current research on age-related GM.
Key points
• The gut microbiota of elderly individuals with longevity and low BMI exhibit higher alpha diversity
• Gut microbiota diversity did not differ significantly between genders in the elderly population
• Several potentially beneficial bacteria (e.g., Akkermansia and Lactobacillus) are enriched in long-lived individuals</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38619710</pmid><doi>10.1007/s00253-024-13140-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0009-0006-8530-8347</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Age Aged Aged, 80 and over Akkermansia amino acid metabolism Amino acids Bacteroidetes Biodegradation Biomedical and Life Sciences Biotechnology Body mass index Body size China elderly fatty acid metabolism Feces Female Gastrointestinal Microbiome Genomics Genomics, Transcriptomics, Proteomics Humans Intestinal microflora intestinal microorganisms Lactobacillus Life Sciences Longevity Male Megamonas Metabolism Microbial Genetics and Genomics Microbiology microbiome Microbiomes Microbiota Microorganisms Middle age Middle Aged Next-generation sequencing Older people prediction Proteobacteria Proteomics rRNA 16S short chain fatty acids species diversity Technology assessment Transcriptomics xenobiotics |
| title | Structural characteristics of gut microbiota in longevity from Changshou town, Hubei, China |
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