The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure

Objective. Chronic heart failure (CHF) refers to a state of persistent heart failure that can be stable, deteriorated, or decompensated. The mechanism and pathogenesis of myocardial remodeling remain unknown. Based on 16S rDNA sequencing and metabolomics technology, this study analyzed the gut micro...

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Autores principales: Zhenhua Wang, Zhaoling Cai, Markus W. Ferrari, Yilong Liu, Chengyi Li, Tianzhang Zhang, Guorong Lyu
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Publicado: Hindawi Limited 2021
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spelling oai:doaj.org-article:5deae955cc9e4e6c836a029d00449a192021-11-08T02:37:26ZThe Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure1466-186110.1155/2021/5587428https://doaj.org/article/5deae955cc9e4e6c836a029d00449a192021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5587428https://doaj.org/toc/1466-1861Objective. Chronic heart failure (CHF) refers to a state of persistent heart failure that can be stable, deteriorated, or decompensated. The mechanism and pathogenesis of myocardial remodeling remain unknown. Based on 16S rDNA sequencing and metabolomics technology, this study analyzed the gut microbiota and serum metabolome in elderly patients with CHF to provide new insights into the microbiota and metabolic phenotypes of CHF. Methods. Blood and fecal samples were collected from 25 elderly patients with CHF and 25 healthy subjects. The expression of inflammatory factors in blood was detected by ELISA. 16S rDNA sequencing was used to analyze the changes in microorganisms in the samples. The changes of small molecular metabolites in serum samples were analyzed by LC-MS/MS. Spearman correlation coefficients were used to analyze the correlation between gut microbiota and serum metabolites. Results. Our results showed that the IL-6, IL-8, and TNF-α levels were significantly increased, and the IL-10 level was significantly decreased in the elderly patients with CHF compared with the healthy subjects. The diversity of the gut microbiota was decreased in the elderly patients with CHF. Moreover, Escherichia Shigella was negatively correlated with biocytin and RIBOFLAVIN. Haemophilus was negatively correlated with alpha-lactose, cellobiose, isomaltose, lactose, melibiose, sucrose, trehalose, and turanose. Klebsiella was positively correlated with bilirubin and ethylsalicylate. Klebsiella was negatively correlated with citramalate, hexanoylcarnitine, inosine, isovalerylcarnitine, methylmalonate, and riboflavin. Conclusion. The gut microbiota is simplified by the disease, and serum small-molecule metabolites evidently change in elderly patients with CHF. Serum and fecal biomarkers could be used for elderly patients with CHF screening.Zhenhua WangZhaoling CaiMarkus W. FerrariYilong LiuChengyi LiTianzhang ZhangGuorong LyuHindawi LimitedarticlePathologyRB1-214ENMediators of Inflammation, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Pathology
RB1-214
spellingShingle Pathology
RB1-214
Zhenhua Wang
Zhaoling Cai
Markus W. Ferrari
Yilong Liu
Chengyi Li
Tianzhang Zhang
Guorong Lyu
The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
description Objective. Chronic heart failure (CHF) refers to a state of persistent heart failure that can be stable, deteriorated, or decompensated. The mechanism and pathogenesis of myocardial remodeling remain unknown. Based on 16S rDNA sequencing and metabolomics technology, this study analyzed the gut microbiota and serum metabolome in elderly patients with CHF to provide new insights into the microbiota and metabolic phenotypes of CHF. Methods. Blood and fecal samples were collected from 25 elderly patients with CHF and 25 healthy subjects. The expression of inflammatory factors in blood was detected by ELISA. 16S rDNA sequencing was used to analyze the changes in microorganisms in the samples. The changes of small molecular metabolites in serum samples were analyzed by LC-MS/MS. Spearman correlation coefficients were used to analyze the correlation between gut microbiota and serum metabolites. Results. Our results showed that the IL-6, IL-8, and TNF-α levels were significantly increased, and the IL-10 level was significantly decreased in the elderly patients with CHF compared with the healthy subjects. The diversity of the gut microbiota was decreased in the elderly patients with CHF. Moreover, Escherichia Shigella was negatively correlated with biocytin and RIBOFLAVIN. Haemophilus was negatively correlated with alpha-lactose, cellobiose, isomaltose, lactose, melibiose, sucrose, trehalose, and turanose. Klebsiella was positively correlated with bilirubin and ethylsalicylate. Klebsiella was negatively correlated with citramalate, hexanoylcarnitine, inosine, isovalerylcarnitine, methylmalonate, and riboflavin. Conclusion. The gut microbiota is simplified by the disease, and serum small-molecule metabolites evidently change in elderly patients with CHF. Serum and fecal biomarkers could be used for elderly patients with CHF screening.
format article
author Zhenhua Wang
Zhaoling Cai
Markus W. Ferrari
Yilong Liu
Chengyi Li
Tianzhang Zhang
Guorong Lyu
author_facet Zhenhua Wang
Zhaoling Cai
Markus W. Ferrari
Yilong Liu
Chengyi Li
Tianzhang Zhang
Guorong Lyu
author_sort Zhenhua Wang
title The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
title_short The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
title_full The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
title_fullStr The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
title_full_unstemmed The Correlation between Gut Microbiota and Serum Metabolomic in Elderly Patients with Chronic Heart Failure
title_sort correlation between gut microbiota and serum metabolomic in elderly patients with chronic heart failure
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/5deae955cc9e4e6c836a029d00449a19
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