Deciphering the correlations between aging and constipation by metabolomics and network pharmacology

From the points of view of phenomena and experience, aging and constipation are inextricably correlated. However, experimental support and underlying mechanisms are still lacking. The purpose of this study is to explore the relationships between aging and constipation from the perspectives of fecal...

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Main Authors: Liu, Xiaojie, Zhao, Di, Zhao, Sijun, Li, Zhenyu, Wang, Yulan, Qin, Xuemei
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/147578
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1475782023-03-05T16:45:34Z Deciphering the correlations between aging and constipation by metabolomics and network pharmacology Liu, Xiaojie Zhao, Di Zhao, Sijun Li, Zhenyu Wang, Yulan Qin, Xuemei Lee Kong Chian School of Medicine (LKCMedicine) Singapore Phenome Centre Science::Medicine Metabolomics Network Pharmacology From the points of view of phenomena and experience, aging and constipation are inextricably correlated. However, experimental support and underlying mechanisms are still lacking. The purpose of this study is to explore the relationships between aging and constipation from the perspectives of fecal metabolites and network pharmacology. The behavioral analyses of aging and constipation were carried out on both aging rats and constipation rats. We found that aging rats exhibited not only significant aging behaviors but also significant constipation behaviors, while constipation rats exhibited both significant constipation and aging behaviors. Additionally, fecal metabolomics was carried out and found that 23 metabolites were aging-related and 22 metabolites were constipation-related. Among them, there were 16 differential metabolites in common with 11 metabolic pathways. Network pharmacology was applied to construct the target-pathway network of aging and constipation, revealing that pathway in cancer was the most associated signaling pathway. The current findings will provide not only a novel perspective for understanding aging and constipation, but a theoretical association and understanding the traditional Chinese medicine theory and the Western medicine theory about aging and constipation, as well as support for the clinical research and development of medicine related to constipation in the elderly. Published version 2021-04-06T06:46:55Z 2021-04-06T06:46:55Z 2021 Journal Article Liu, X., Zhao, D., Zhao, S., Li, Z., Wang, Y. & Qin, X. (2021). Deciphering the correlations between aging and constipation by metabolomics and network pharmacology. Aging, 13(3), 3798-3818. https://dx.doi.org/10.18632/aging.202340 1945-4589 https://hdl.handle.net/10356/147578 10.18632/aging.202340 33428599 2-s2.0-85101166673 3 13 3798 3818 en Aging © 2021 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Metabolomics
Network Pharmacology
spellingShingle Science::Medicine
Metabolomics
Network Pharmacology
Liu, Xiaojie
Zhao, Di
Zhao, Sijun
Li, Zhenyu
Wang, Yulan
Qin, Xuemei
Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
description From the points of view of phenomena and experience, aging and constipation are inextricably correlated. However, experimental support and underlying mechanisms are still lacking. The purpose of this study is to explore the relationships between aging and constipation from the perspectives of fecal metabolites and network pharmacology. The behavioral analyses of aging and constipation were carried out on both aging rats and constipation rats. We found that aging rats exhibited not only significant aging behaviors but also significant constipation behaviors, while constipation rats exhibited both significant constipation and aging behaviors. Additionally, fecal metabolomics was carried out and found that 23 metabolites were aging-related and 22 metabolites were constipation-related. Among them, there were 16 differential metabolites in common with 11 metabolic pathways. Network pharmacology was applied to construct the target-pathway network of aging and constipation, revealing that pathway in cancer was the most associated signaling pathway. The current findings will provide not only a novel perspective for understanding aging and constipation, but a theoretical association and understanding the traditional Chinese medicine theory and the Western medicine theory about aging and constipation, as well as support for the clinical research and development of medicine related to constipation in the elderly.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Liu, Xiaojie
Zhao, Di
Zhao, Sijun
Li, Zhenyu
Wang, Yulan
Qin, Xuemei
format Article
author Liu, Xiaojie
Zhao, Di
Zhao, Sijun
Li, Zhenyu
Wang, Yulan
Qin, Xuemei
author_sort Liu, Xiaojie
title Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
title_short Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
title_full Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
title_fullStr Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
title_full_unstemmed Deciphering the correlations between aging and constipation by metabolomics and network pharmacology
title_sort deciphering the correlations between aging and constipation by metabolomics and network pharmacology
publishDate 2021
url https://hdl.handle.net/10356/147578
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