Metagenomic study of the gut microbiota associated with cow milk consumption in Chinese peri-/postmenopausal women
Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subj...
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| Veröffentlicht in: | Frontiers in microbiology Jg. 13; S. 957885 |
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16.08.2022
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| Abstract | Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group (
n = 248
) and a CMC group (
n = 146
) according to their CMC status. Non-parametric tests and LEfSe at different taxonomic levels were used to reveal differentially abundant taxa and functional categories across different CMC groups. Relative abundance (RA) of one phylum (
p_Actinobacteria
), three genera (
g_Bifidobacterium
,
g_Anaerostipes
, and
g_Bacteroides
), and 28 species diversified significantly across groups. Specifically, taxa
g_Anaerostipes
(
p < 0.01
),
g_Bacteroides
(
p < 0.05
),
s_Anaerostipes_hadrus
(
p < 0.01
), and
s_Bifidobacterium_pseudocatenulatum
(
p < 0.01
) were positively correlated with CMC levels, but
p_Actinobacteria
(
p < 0.01
) and
g_Bifidobacterium
(
p < 0.01
) were negatively associated with CMC levels. KEGG module analysis revealed 48 gut microbiome functional modules significantly (
p < 0.05
) associated with CMC, including
Vibrio cholerae
pathogenicity signature, cholera toxins (
p = 9.52e-04
), and cephamycin C biosynthesis module (
p = 0.0057
), among others. In conclusion, CMC was associated with changes in gut microbiome patterns including beta diversity and richness of some gut microbiota. The alterations of certain bacteria including
g_Anaerostipes
and
s_Bifidobacterium_pseudocatenulatum
in the CMC group should be important for human health. This study further supports the biological value of habitual cow milk consumption. |
|---|---|
| AbstractList | Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group (n = 248) and a CMC group (n = 146) according to their CMC status. Non-parametric tests and LEfSe at different taxonomic levels were used to reveal differentially abundant taxa and functional categories across different CMC groups. Relative abundance (RA) of one phylum (p_Actinobacteria), three genera (g_Bifidobacterium, g_Anaerostipes, and g_Bacteroides), and 28 species diversified significantly across groups. Specifically, taxa g_Anaerostipes (p < 0.01), g_Bacteroides (p < 0.05), s_Anaerostipes_hadrus (p < 0.01), and s_Bifidobacterium_pseudocatenulatum (p < 0.01) were positively correlated with CMC levels, but p_Actinobacteria (p < 0.01) and g_Bifidobacterium (p < 0.01) were negatively associated with CMC levels. KEGG module analysis revealed 48 gut microbiome functional modules significantly (p < 0.05) associated with CMC, including Vibrio cholerae pathogenicity signature, cholera toxins (p = 9.52e-04), and cephamycin C biosynthesis module (p = 0.0057), among others. In conclusion, CMC was associated with changes in gut microbiome patterns including beta diversity and richness of some gut microbiota. The alterations of certain bacteria including g_Anaerostipes and s_Bifidobacterium_pseudocatenulatum in the CMC group should be important for human health. This study further supports the biological value of habitual cow milk consumption. Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group ( n = 248 ) and a CMC group ( n = 146 ) according to their CMC status. Non-parametric tests and LEfSe at different taxonomic levels were used to reveal differentially abundant taxa and functional categories across different CMC groups. Relative abundance (RA) of one phylum ( p_Actinobacteria ), three genera ( g_Bifidobacterium , g_Anaerostipes , and g_Bacteroides ), and 28 species diversified significantly across groups. Specifically, taxa g_Anaerostipes ( p < 0.01 ), g_Bacteroides ( p < 0.05 ), s_Anaerostipes_hadrus ( p < 0.01 ), and s_Bifidobacterium_pseudocatenulatum ( p < 0.01 ) were positively correlated with CMC levels, but p_Actinobacteria ( p < 0.01 ) and g_Bifidobacterium ( p < 0.01 ) were negatively associated with CMC levels. KEGG module analysis revealed 48 gut microbiome functional modules significantly ( p < 0.05 ) associated with CMC, including Vibrio cholerae pathogenicity signature, cholera toxins ( p = 9.52e-04 ), and cephamycin C biosynthesis module ( p = 0.0057 ), among others. In conclusion, CMC was associated with changes in gut microbiome patterns including beta diversity and richness of some gut microbiota. The alterations of certain bacteria including g_Anaerostipes and s_Bifidobacterium_pseudocatenulatum in the CMC group should be important for human health. This study further supports the biological value of habitual cow milk consumption. Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group (n = 248) and a CMC group (n = 146) according to their CMC status. Non-parametric tests and LEfSe at different taxonomic levels were used to reveal differentially abundant taxa and functional categories across different CMC groups. Relative abundance (RA) of one phylum (p_Actinobacteria), three genera (g_Bifidobacterium, g_Anaerostipes, and g_Bacteroides), and 28 species diversified significantly across groups. Specifically, taxa g_Anaerostipes (p < 0.01), g_Bacteroides (p < 0.05), s_Anaerostipes_hadrus (p < 0.01), and s_Bifidobacterium_pseudocatenulatum (p < 0.01) were positively correlated with CMC levels, but p_Actinobacteria (p < 0.01) and g_Bifidobacterium (p < 0.01) were negatively associated with CMC levels. KEGG module analysis revealed 48 gut microbiome functional modules significantly (p < 0.05) associated with CMC, including Vibrio cholerae pathogenicity signature, cholera toxins (p = 9.52e-04), and cephamycin C biosynthesis module (p = 0.0057), among others. In conclusion, CMC was associated with changes in gut microbiome patterns including beta diversity and richness of some gut microbiota. The alterations of certain bacteria including g_Anaerostipes and s_Bifidobacterium_pseudocatenulatum in the CMC group should be important for human health. This study further supports the biological value of habitual cow milk consumption.Cow milk consumption (CMC) and alterations of gut bacterial composition are proposed to be closely related to human health and disease. Our research aims to investigate the changes in human gut microbial composition in Chinese peri-/postmenopausal women with different CMC habits. A total of 517 subjects were recruited and questionnaires about their CMC status were collected; 394 subjects were included in the final analyses. Fecal samples were used for studying gut bacterial composition. All the subjects were divided into a control group (n = 248) and a CMC group (n = 146) according to their CMC status. Non-parametric tests and LEfSe at different taxonomic levels were used to reveal differentially abundant taxa and functional categories across different CMC groups. Relative abundance (RA) of one phylum (p_Actinobacteria), three genera (g_Bifidobacterium, g_Anaerostipes, and g_Bacteroides), and 28 species diversified significantly across groups. Specifically, taxa g_Anaerostipes (p < 0.01), g_Bacteroides (p < 0.05), s_Anaerostipes_hadrus (p < 0.01), and s_Bifidobacterium_pseudocatenulatum (p < 0.01) were positively correlated with CMC levels, but p_Actinobacteria (p < 0.01) and g_Bifidobacterium (p < 0.01) were negatively associated with CMC levels. KEGG module analysis revealed 48 gut microbiome functional modules significantly (p < 0.05) associated with CMC, including Vibrio cholerae pathogenicity signature, cholera toxins (p = 9.52e-04), and cephamycin C biosynthesis module (p = 0.0057), among others. In conclusion, CMC was associated with changes in gut microbiome patterns including beta diversity and richness of some gut microbiota. The alterations of certain bacteria including g_Anaerostipes and s_Bifidobacterium_pseudocatenulatum in the CMC group should be important for human health. This study further supports the biological value of habitual cow milk consumption. |
| Author | Xu, Hanli Deng, Hong-Wen Shen, Jie Luo, Zhe Yao, Jia-Heng Jiang, Lin-Dong Xiao, Hong-Mei Qiu, Chuan Lin, Xu Lv, Wan-Qiang Cheng, Xiyu Zhang, Li-Shu Tian, Bo Shen, Hui Wang, Zhuo-Qi Xu, Lu-Lu Yan, Qiong Zhao, Lan-Juan |
| AuthorAffiliation | 4 Tulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA , United States 5 Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde) , Foshan , China 2 Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University , Guangzhou , China 3 Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University , Changsha , China 1 School of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University , Beijing , China |
| AuthorAffiliation_xml | – name: 4 Tulane Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University , New Orleans, LA , United States – name: 5 Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde) , Foshan , China – name: 3 Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University , Changsha , China – name: 2 Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University , Guangzhou , China – name: 1 School of Physical Science and Engineering, College of Life Sciences and Bioengineering, Beijing Jiaotong University , Beijing , China |
| Author_xml | – sequence: 1 givenname: Bo surname: Tian fullname: Tian, Bo – sequence: 2 givenname: Jia-Heng surname: Yao fullname: Yao, Jia-Heng – sequence: 3 givenname: Xu surname: Lin fullname: Lin, Xu – sequence: 4 givenname: Wan-Qiang surname: Lv fullname: Lv, Wan-Qiang – sequence: 5 givenname: Lin-Dong surname: Jiang fullname: Jiang, Lin-Dong – sequence: 6 givenname: Zhuo-Qi surname: Wang fullname: Wang, Zhuo-Qi – sequence: 7 givenname: Jie surname: Shen fullname: Shen, Jie – sequence: 8 givenname: Hong-Mei surname: Xiao fullname: Xiao, Hong-Mei – sequence: 9 givenname: Hanli surname: Xu fullname: Xu, Hanli – sequence: 10 givenname: Lu-Lu surname: Xu fullname: Xu, Lu-Lu – sequence: 11 givenname: Xiyu surname: Cheng fullname: Cheng, Xiyu – sequence: 12 givenname: Hui surname: Shen fullname: Shen, Hui – sequence: 13 givenname: Chuan surname: Qiu fullname: Qiu, Chuan – sequence: 14 givenname: Zhe surname: Luo fullname: Luo, Zhe – sequence: 15 givenname: Lan-Juan surname: Zhao fullname: Zhao, Lan-Juan – sequence: 16 givenname: Qiong surname: Yan fullname: Yan, Qiong – sequence: 17 givenname: Hong-Wen surname: Deng fullname: Deng, Hong-Wen – sequence: 18 givenname: Li-Shu surname: Zhang fullname: Zhang, Li-Shu |
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| Copyright | Copyright © 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang. Copyright © 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang. 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang |
| Copyright_xml | – notice: Copyright © 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang. – notice: Copyright © 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang. 2022 Tian, Yao, Lin, Lv, Jiang, Wang, Shen, Xiao, Xu, Xu, Cheng, Shen, Qiu, Luo, Zhao, Yan, Deng and Zhang |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Shimeng Huang, Jiangsu Academy of Agricultural Sciences, China; Giuseppe Jurman, Bruno Kessler Foundation (FBK), Italy This article was submitted to Systems Microbiology, a section of the journal Frontiers in Microbiology Edited by: George Tsiamis, University of Patras, Greece |
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| Title | Metagenomic study of the gut microbiota associated with cow milk consumption in Chinese peri-/postmenopausal women |
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