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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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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