Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
Objectives. We aimed to explore the impact of gut microbiota in coronary heart disease (CHD) patients through high-throughput sequencing. Methods. A total of 29 CHD in-hospital patients and 35 healthy volunteers as controls were included. Nucleic acids were extracted from fecal samples, followed by...
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| creator | Zhang, Wen Hu, Haibing Zhao, Tingting Cui, Li Hua, Xiuguo |
| description | Objectives. We aimed to explore the impact of gut microbiota in coronary heart disease (CHD) patients through high-throughput sequencing. Methods. A total of 29 CHD in-hospital patients and 35 healthy volunteers as controls were included. Nucleic acids were extracted from fecal samples, followed by α diversity and principal coordinate analysis (PCoA). Based on unweighted UniFrac distance matrices, unweighted-pair group method with arithmetic mean (UPGMA) trees were created. Results. After data optimization, an average of 121312±19293 reads in CHD patients and 234372±108725 reads in controls was obtained. Reads corresponding to 38 phyla, 90 classes, and 584 genera were detected in CHD patients, whereas 40 phyla, 99 classes, and 775 genera were detected in controls. The proportion of phylum Bacteroidetes (56.12%) was lower and that of phylum Firmicutes was higher (37.06%) in CHD patients than those in the controls (60.92% and 32.06%, P |
| doi_str_mv | 10.1155/2017/3796359 |
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We aimed to explore the impact of gut microbiota in coronary heart disease (CHD) patients through high-throughput sequencing. Methods. A total of 29 CHD in-hospital patients and 35 healthy volunteers as controls were included. Nucleic acids were extracted from fecal samples, followed by α diversity and principal coordinate analysis (PCoA). Based on unweighted UniFrac distance matrices, unweighted-pair group method with arithmetic mean (UPGMA) trees were created. Results. After data optimization, an average of 121312±19293 reads in CHD patients and 234372±108725 reads in controls was obtained. Reads corresponding to 38 phyla, 90 classes, and 584 genera were detected in CHD patients, whereas 40 phyla, 99 classes, and 775 genera were detected in controls. The proportion of phylum Bacteroidetes (56.12%) was lower and that of phylum Firmicutes was higher (37.06%) in CHD patients than those in the controls (60.92% and 32.06%, P<0.05). PCoA and UPGMA tree analysis showed that there were significant differences of gut microbial compositions between the two groups. Conclusion. The diversity and compositions of gut flora were different between CHD patients and healthy controls. The incidence of CHD might be associated with the alteration of gut microbiota.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2017/3796359</identifier><identifier>PMID: 28497047</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Aged ; Aged, 80 and over ; Atherosclerosis ; Bacteria - classification ; Bacteria - genetics ; Biomedical research ; Cardiovascular disease ; Coronary Disease - epidemiology ; Coronary Disease - microbiology ; Coronary heart disease ; Coronary vessels ; Deoxyribonucleic acid ; Development and progression ; Diabetes ; Diet ; DNA ; Female ; Firmicutes ; Gastrointestinal Microbiome - genetics ; Genetic testing ; High-Throughput Nucleotide Sequencing ; Hospitals ; Humans ; Incidence ; Laboratories ; Library collections ; Male ; Metabolism ; Metabolites ; Microbiota (Symbiotic organisms) ; Middle Aged ; Physiological aspects ; Software ; Studies ; Taxonomy</subject><ispartof>BioMed research international, 2017-01, Vol.2017 (2017), p.1-10</ispartof><rights>Copyright © 2017 Li Cui et al.</rights><rights>COPYRIGHT 2017 John Wiley & Sons, Inc.</rights><rights>Copyright © 2017 Li Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2017 Li Cui et al. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c532t-ac9a2828a6bd477295dc2b9705196262e9590c8e356ff242615f85495b0c48073</citedby><cites>FETCH-LOGICAL-c532t-ac9a2828a6bd477295dc2b9705196262e9590c8e356ff242615f85495b0c48073</cites><orcidid>0000-0003-1902-091X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5401719/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5401719/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28497047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Banerjee, Pratik</contributor><creatorcontrib>Zhang, Wen</creatorcontrib><creatorcontrib>Hu, Haibing</creatorcontrib><creatorcontrib>Zhao, Tingting</creatorcontrib><creatorcontrib>Cui, Li</creatorcontrib><creatorcontrib>Hua, Xiuguo</creatorcontrib><title>Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Objectives. We aimed to explore the impact of gut microbiota in coronary heart disease (CHD) patients through high-throughput sequencing. Methods. A total of 29 CHD in-hospital patients and 35 healthy volunteers as controls were included. Nucleic acids were extracted from fecal samples, followed by α diversity and principal coordinate analysis (PCoA). Based on unweighted UniFrac distance matrices, unweighted-pair group method with arithmetic mean (UPGMA) trees were created. Results. After data optimization, an average of 121312±19293 reads in CHD patients and 234372±108725 reads in controls was obtained. Reads corresponding to 38 phyla, 90 classes, and 584 genera were detected in CHD patients, whereas 40 phyla, 99 classes, and 775 genera were detected in controls. The proportion of phylum Bacteroidetes (56.12%) was lower and that of phylum Firmicutes was higher (37.06%) in CHD patients than those in the controls (60.92% and 32.06%, P<0.05). PCoA and UPGMA tree analysis showed that there were significant differences of gut microbial compositions between the two groups. Conclusion. The diversity and compositions of gut flora were different between CHD patients and healthy controls. The incidence of CHD might be associated with the alteration of gut microbiota.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Atherosclerosis</subject><subject>Bacteria - classification</subject><subject>Bacteria - genetics</subject><subject>Biomedical research</subject><subject>Cardiovascular disease</subject><subject>Coronary Disease - epidemiology</subject><subject>Coronary Disease - microbiology</subject><subject>Coronary heart disease</subject><subject>Coronary vessels</subject><subject>Deoxyribonucleic acid</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diet</subject><subject>DNA</subject><subject>Female</subject><subject>Firmicutes</subject><subject>Gastrointestinal Microbiome - genetics</subject><subject>Genetic testing</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Incidence</subject><subject>Laboratories</subject><subject>Library collections</subject><subject>Male</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>Middle Aged</subject><subject>Physiological aspects</subject><subject>Software</subject><subject>Studies</subject><subject>Taxonomy</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNks1rFDEYxoMottTePEvAi6Bj8_1xEZbVdoWCh9aTh5DNZGZSZpM1mVH635t11616ai5JeH95ePK8LwAvMXqPMecXBGF5QaUWlOsn4JRQzBqBGX56PFN6As5LuUN1KSyQFs_BCVFMS8TkKfi2KCW5YKeQIryZ5vYepg5ezRO8HFO2MES4TDlFm-_hyts8wY-heFs8nIac5n6Aq9APze3-sq3vbvz32UcXYv8CPOvsWPz5YT8DXy8_3S5XzfWXq8_LxXXjOCVTY522RBFlxbplUhLNW0fW1R_HWhBBvOYaOeUpF11HGBGYd4ozzdfIMYUkPQMf9rrbeb3xrfNxynY02xw21bZJNph_KzEMpk8_DGc1PqyrwJuDQE7VfJnMJhTnx9FGn-ZisNIaIyEIegwqqaytwRV9_R96l-YcaxI7CvPaDi4fqN6O3oTYpWrR7UTNgtc6wuo39W5PuZxKyb47_g4js5sEs5sEc5iEir_6O5Ej_KfvFXi7B4YQW_szPFLOV8Z39oHGVDCE6C-OicH-</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Zhang, Wen</creator><creator>Hu, Haibing</creator><creator>Zhao, Tingting</creator><creator>Cui, Li</creator><creator>Hua, Xiuguo</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1902-091X</orcidid></search><sort><creationdate>20170101</creationdate><title>Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing</title><author>Zhang, Wen ; Hu, Haibing ; Zhao, Tingting ; Cui, Li ; Hua, Xiuguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c532t-ac9a2828a6bd477295dc2b9705196262e9590c8e356ff242615f85495b0c48073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Atherosclerosis</topic><topic>Bacteria - classification</topic><topic>Bacteria - genetics</topic><topic>Biomedical research</topic><topic>Cardiovascular disease</topic><topic>Coronary Disease - epidemiology</topic><topic>Coronary Disease - microbiology</topic><topic>Coronary heart disease</topic><topic>Coronary vessels</topic><topic>Deoxyribonucleic acid</topic><topic>Development and progression</topic><topic>Diabetes</topic><topic>Diet</topic><topic>DNA</topic><topic>Female</topic><topic>Firmicutes</topic><topic>Gastrointestinal Microbiome - genetics</topic><topic>Genetic testing</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Incidence</topic><topic>Laboratories</topic><topic>Library collections</topic><topic>Male</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>Middle Aged</topic><topic>Physiological aspects</topic><topic>Software</topic><topic>Studies</topic><topic>Taxonomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Wen</creatorcontrib><creatorcontrib>Hu, Haibing</creatorcontrib><creatorcontrib>Zhao, Tingting</creatorcontrib><creatorcontrib>Cui, Li</creatorcontrib><creatorcontrib>Hua, Xiuguo</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Wen</au><au>Hu, Haibing</au><au>Zhao, Tingting</au><au>Cui, Li</au><au>Hua, Xiuguo</au><au>Banerjee, Pratik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2017-01-01</date><risdate>2017</risdate><volume>2017</volume><issue>2017</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Objectives. We aimed to explore the impact of gut microbiota in coronary heart disease (CHD) patients through high-throughput sequencing. Methods. A total of 29 CHD in-hospital patients and 35 healthy volunteers as controls were included. Nucleic acids were extracted from fecal samples, followed by α diversity and principal coordinate analysis (PCoA). Based on unweighted UniFrac distance matrices, unweighted-pair group method with arithmetic mean (UPGMA) trees were created. Results. After data optimization, an average of 121312±19293 reads in CHD patients and 234372±108725 reads in controls was obtained. Reads corresponding to 38 phyla, 90 classes, and 584 genera were detected in CHD patients, whereas 40 phyla, 99 classes, and 775 genera were detected in controls. The proportion of phylum Bacteroidetes (56.12%) was lower and that of phylum Firmicutes was higher (37.06%) in CHD patients than those in the controls (60.92% and 32.06%, P<0.05). PCoA and UPGMA tree analysis showed that there were significant differences of gut microbial compositions between the two groups. Conclusion. The diversity and compositions of gut flora were different between CHD patients and healthy controls. The incidence of CHD might be associated with the alteration of gut microbiota.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>28497047</pmid><doi>10.1155/2017/3796359</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1902-091X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Aged, 80 and over Atherosclerosis Bacteria - classification Bacteria - genetics Biomedical research Cardiovascular disease Coronary Disease - epidemiology Coronary Disease - microbiology Coronary heart disease Coronary vessels Deoxyribonucleic acid Development and progression Diabetes Diet DNA Female Firmicutes Gastrointestinal Microbiome - genetics Genetic testing High-Throughput Nucleotide Sequencing Hospitals Humans Incidence Laboratories Library collections Male Metabolism Metabolites Microbiota (Symbiotic organisms) Middle Aged Physiological aspects Software Studies Taxonomy |
| title | Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing |
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