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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Main Authors: Li Cui, Tingting Zhao, Haibing Hu, Wen Zhang, Xiuguo Hua
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2017/3796359
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spelling doaj-49d2d21a5c6e43dfa49d80207cf4f4bf2020-11-24T22:21:38ZengHindawi LimitedBioMed Research International2314-61332314-61412017-01-01201710.1155/2017/37963593796359Association Study of Gut Flora in Coronary Heart Disease through High-Throughput SequencingLi Cui0Tingting Zhao1Haibing Hu2Wen Zhang3Xiuguo Hua4Key Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, ChinaKey Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Medical Science and Laboratory Medicine, Jiangsu University, Jiangsu 212013, ChinaKey Laboratory of Veterinary Biotechnology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, ChinaObjectives. 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.http://dx.doi.org/10.1155/2017/3796359
collection DOAJ
language English
format Article
sources DOAJ
author Li Cui
Tingting Zhao
Haibing Hu
Wen Zhang
Xiuguo Hua
spellingShingle Li Cui
Tingting Zhao
Haibing Hu
Wen Zhang
Xiuguo Hua
Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
BioMed Research International
author_facet Li Cui
Tingting Zhao
Haibing Hu
Wen Zhang
Xiuguo Hua
author_sort Li Cui
title Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
title_short Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
title_full Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
title_fullStr Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
title_full_unstemmed Association Study of Gut Flora in Coronary Heart Disease through High-Throughput Sequencing
title_sort association study of gut flora in coronary heart disease through high-throughput sequencing
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2017-01-01
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.
url http://dx.doi.org/10.1155/2017/3796359
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