The gut microbiota during the progression of atherosclerosis in the perimenopausal period shows specific compositional changes and significant correlations with circulating lipid metabolites-Reference-Cited by-同舟云学术

The gut microbiota during the progression of atherosclerosis in the perimenopausal period shows specific compositional changes and significant correlations with circulating lipid metabolites

Published:2021-01-01 Issue:1 Volume:13 Page:
ISSN:1949-0976
Container-title:Gut Microbes
language:en
Short-container-title:Gut Microbes

Author:

Meng Qinghai¹,Ma Menghua¹,Zhang Weiwei¹,Bi Yunhui¹,Cheng Peng¹,Yu Xichao¹,Fu Yu¹,Chao Ying¹,Ji Tingting¹,Li Jun¹,Chen Qi¹,Zhang Qichun¹²,Li Yu²³,Shan Jinjun⁴^ORCID,Bian Huimin¹²

Affiliation:

1. School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China

2. Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China

3. School of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China

4. First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China

Funder

National Natural Science Foundation of China

Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica

Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions

Jiangsu Provincial Science and Technology Department Social Development Fund

Publisher

Informa UK Limited

Subject

Infectious Diseases,Microbiology (medical),Gastroenterology,Microbiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/19490976.2021.1880220

Reference58 articles.

1. Menopause

2. Dyslipidemia and Cardiovascular Disease in Women

3. Hormone therapy in menopause: An update on cardiovascular disease considerations

4. Menopause Characteristics, Total Reproductive Years, and Risk of Cardiovascular Disease Among Chinese Women

5. Unraveling the associations of age and menopause with cardiovascular risk factors in a large population-based study

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