Landscape of the gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health.

Autor: Fu Y; Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Gou W; Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Wu P; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China., Lai Y; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China., Liang X; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Zhang K; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Shuai M; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Tang J; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Miao Z; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Chen J; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China., Yuan J; Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, China., Zhao B; Antenatal Care Clinics, Shuangliu Maternal and Child Health Hospital, Chengdu, China., Yang Y; Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China., Liu X; Department of Laboratory Medicine, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China., Hu Y; Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China., Pan A; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China zhengjusheng@westlake.edu.cn pxiongfei@scu.edu.cn panan@hust.edu.cn., Pan XF; Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, China zhengjusheng@westlake.edu.cn pxiongfei@scu.edu.cn panan@hust.edu.cn.; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China.; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China., Zheng JS; Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China zhengjusheng@westlake.edu.cn pxiongfei@scu.edu.cn panan@hust.edu.cn.; Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, China.; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.; Zhejiang Key Laboratory of Multi-Omics in Infection and Immunity, Center for Infectious Disease Research, School of Medicine, Westlake University, Hangzhou, China.
Jazyk: angličtina
Zdroj: Gut [Gut] 2024 Jul 11; Vol. 73 (8), pp. 1302-1312. Date of Electronic Publication: 2024 Jul 11.
DOI: 10.1136/gutjnl-2024-332260
Abstrakt: Objective: The remodelling of gut mycobiome (ie, fungi) during pregnancy and its potential influence on host metabolism and pregnancy health remains largely unexplored. Here, we aim to examine the characteristics of gut fungi in pregnant women, and reveal the associations between gut mycobiome, host metabolome and pregnancy health.
Design: Based on a prospective birth cohort in central China (2017 to 2020): Tongji-Huaxi-Shuangliu Birth Cohort, we included 4800 participants who had available ITS2 sequencing data, dietary information and clinical records during their pregnancy. Additionally, we established a subcohort of 1059 participants, which included 514 women who gave birth to preterm, low birthweight or macrosomia infants, as well as 545 randomly selected controls. In this subcohort, a total of 750, 748 and 709 participants had ITS2 sequencing data, 16S sequencing data and serum metabolome data available, respectively, across all trimesters.
Results: The composition of gut fungi changes dramatically from early to late pregnancy, exhibiting a greater degree of variability and individuality compared with changes observed in gut bacteria. The multiomics data provide a landscape of the networks among gut mycobiome, biological functionality, serum metabolites and pregnancy health, pinpointing the link between Mucor and adverse pregnancy outcomes. The prepregnancy overweight status is a key factor influencing both gut mycobiome compositional alteration and the pattern of metabolic remodelling during pregnancy.
Conclusion: This study provides a landscape of gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health, which lays the foundation of the future gut mycobiome investigation for healthy pregnancy.
Competing Interests: Competing interests: None declared.
(© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze: MEDLINE