Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution

BackgroundYin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body. In recent years, it has become apparent that the c...

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Main Authors: Yingying Zhai, Jing Li, Yanqi Cao, Yufei Li, Xuejie Bao, Jinfeng Liang, Qi Liu, Yifan Xia, Ruoxi Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cellular and Infection Microbiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2024.1500959/full
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author Yingying Zhai
Yingying Zhai
Jing Li
Jing Li
Yanqi Cao
Yanqi Cao
Yufei Li
Yufei Li
Xuejie Bao
Xuejie Bao
Jinfeng Liang
Jinfeng Liang
Qi Liu
Qi Liu
Yifan Xia
Ruoxi Yu
author_facet Yingying Zhai
Yingying Zhai
Jing Li
Jing Li
Yanqi Cao
Yanqi Cao
Yufei Li
Yufei Li
Xuejie Bao
Xuejie Bao
Jinfeng Liang
Jinfeng Liang
Qi Liu
Qi Liu
Yifan Xia
Ruoxi Yu
author_sort Yingying Zhai
collection DOAJ
description BackgroundYin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body. In recent years, it has become apparent that the composition and structure of the gut microbiota play a significant role in the aging process. The imbalance of gut microbiota in YinDC may accelerate the aging process. However, the specific gut microbiota compositions involved in the YinDC premature aging process remain unknown.MethodsIn this study, we conducted a cohort study including 60 women with YinDC and BC to analyze their gut microbiota composition. We integrated 16S rDNA sequencing with machine learning methods to reveal the association between gut microbiota and premature aging in YinDC women.ResultsWe found a significant difference in the composition of gut microbiota between the YinDC and the BC group. At the phylum level, Cyanobacteria and Synerobacteria only emerged in the YinDC group. At the genus level, Bacteroides, Bifidobacterium, Haemophilus, Alistipes, and Dialister showed higher abundance in the YinDC group. Bilophila, Eubacterium, and Aeromonas were the most significant indicators influencing the YinDC premature aging. The YinDC group had the most functional gene pathways associated with the metabolism.ConclusionOur study demonstrated that the gut microbiota was associated with premature aging in women with YinDC, potentially providing preliminary evidence and guidance for personalized anti-aging strategies.
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publisher Frontiers Media S.A.
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series Frontiers in Cellular and Infection Microbiology
spelling doaj-art-fb566f81c92e4629bb2bfe2fc9c34ec82025-01-03T06:47:24ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882025-01-011410.3389/fcimb.2024.15009591500959Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitutionYingying Zhai0Yingying Zhai1Jing Li2Jing Li3Yanqi Cao4Yanqi Cao5Yufei Li6Yufei Li7Xuejie Bao8Xuejie Bao9Jinfeng Liang10Jinfeng Liang11Qi Liu12Qi Liu13Yifan Xia14Ruoxi Yu15National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaNational Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, ChinaBackgroundYin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, characterized by an imbalance state that includes an imbalance in the gut microbiota, resulting from a relative deficiency of Yin fluids within the body. In recent years, it has become apparent that the composition and structure of the gut microbiota play a significant role in the aging process. The imbalance of gut microbiota in YinDC may accelerate the aging process. However, the specific gut microbiota compositions involved in the YinDC premature aging process remain unknown.MethodsIn this study, we conducted a cohort study including 60 women with YinDC and BC to analyze their gut microbiota composition. We integrated 16S rDNA sequencing with machine learning methods to reveal the association between gut microbiota and premature aging in YinDC women.ResultsWe found a significant difference in the composition of gut microbiota between the YinDC and the BC group. At the phylum level, Cyanobacteria and Synerobacteria only emerged in the YinDC group. At the genus level, Bacteroides, Bifidobacterium, Haemophilus, Alistipes, and Dialister showed higher abundance in the YinDC group. Bilophila, Eubacterium, and Aeromonas were the most significant indicators influencing the YinDC premature aging. The YinDC group had the most functional gene pathways associated with the metabolism.ConclusionOur study demonstrated that the gut microbiota was associated with premature aging in women with YinDC, potentially providing preliminary evidence and guidance for personalized anti-aging strategies.https://www.frontiersin.org/articles/10.3389/fcimb.2024.1500959/fullgut microbiotapremature agingmachine learningtraditional Chinese medicineYin-deficiency constitution
spellingShingle Yingying Zhai
Yingying Zhai
Jing Li
Jing Li
Yanqi Cao
Yanqi Cao
Yufei Li
Yufei Li
Xuejie Bao
Xuejie Bao
Jinfeng Liang
Jinfeng Liang
Qi Liu
Qi Liu
Yifan Xia
Ruoxi Yu
Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
Frontiers in Cellular and Infection Microbiology
gut microbiota
premature aging
machine learning
traditional Chinese medicine
Yin-deficiency constitution
title Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
title_full Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
title_fullStr Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
title_full_unstemmed Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
title_short Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution
title_sort gut microbial composition associated with risk of premature aging in women with yin deficiency constitution
topic gut microbiota
premature aging
machine learning
traditional Chinese medicine
Yin-deficiency constitution
url https://www.frontiersin.org/articles/10.3389/fcimb.2024.1500959/full
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