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Comprehensive Analysis of Maternal and Infant Microbiome Profiles: Maternal Microbial Transmission Shapes Offspring Somatic Growth Trajectory

30 Pages Posted: 14 May 2025 Publication Status: Under Review

See all articles by Keqing Wang

Keqing Wang

Beijing Genomics Institute (BGI)

Qiangrong Zhai

Beijing Genomics Institute (BGI)

Jinnan Liu

Tianjin Women and Children’s Health Center

Xi Li

Beijing Genomics Institute (BGI)

Junhong Chen

Beijing Genomics Institute (BGI)

Leishen Wang

Tianjin Women and Children’s Health Center

Fangyi Ren

Beijing Genomics Institute (BGI) - China National Genebank

Xiaomin Liu

Beijing Genomics Institute (BGI)

Jing Wang

Tianjin Women and Children’s Health Center

Bing Chen

Beijing Genomics Institute (BGI)

Yuanyuan Guo

Tianjin Women and Children’s Health Center

Zhuangyuan Tang

Chinese Academy of Sciences (CAS) - College of Life Sciences

Qingshi Ye

Chinese Academy of Sciences (CAS) - College of Life Sciences

Nuowen Liang

Beijing Genomics Institute (BGI)

Guohong Zhang

Beijing Genomics Institute (BGI)

Fengxia Su

MGI Tech Co., Ltd

Fang Chen

MGI Tech Co., Ltd; Beijing Genomics Institute (BGI)

Xin Jin

Beijing Genomics Institute (BGI)

Tao Zhang

Beijing Genomics Institute (BGI); Beijing Genomics Institute (BGI) - China National Genebank; University of Copenhagen - Department of Biology

Weiqin Li

Tianjin Women and Children’s Health Center

Gongshu Liu

Tianjin Women and Children’s Health Center

Lingyan Feng

Tianjin Women and Children’s Health Center

Chen Chen

Beijing Genomics Institute (BGI)

Ya Gao

Beijing Genomics Institute (BGI)

Shuo Wang

Tianjin Women and Children’s Health Center

More...

Abstract

Perinatal and early‑life exposures are known to shape the infant gut microbiota, yet their long‑term consequences remain poorly characterized. In this prospective analysis of 3,310 mother-infant dyads (18,878 fecal samples), we systematically profiled the maternal gut microbiota progression across pregnancy trimesters and the infant gut microbiota development in first 36 months after birth. Delivery mode was the strongest early‑life determinant of infant gut microbiome composition; and with its influence diminishing over time, maternal pre‑pregnancy BMI exerted an increasing effect. Infant somatic growth trajectory was jointly associated with maternal and infant gut microbiome. We observed trajectory‑specific microbial abundance shifts resulted from vertical transmission. The somatic overgrowth trajectory exhibited delayed Bifidobacterium bifidum transmission followed by a compensatory surge. In contrast, the optimal trajectory was associated with increased vertical transmission and more balanced carbohydrate degradation preference of Phocaeicola vulgatus. These results underscored the role of maternally microbial strains in shaping infant somatic development.

Note:
Funding Information: The study was sponsored by Shenzhen Science and Technology Program JCYJ20240813150000001, the National Key Research and Development Program of China (Grant No. 2016YFC0900602), the National Natural Science Foundation of China (Grant No. 82103863), Tianjin Health Research Project (Grant No. TJWJ2024QN092) and Natural Science Foundation of Tianjin, China (Grant No. 23JCYBJC00960).

Declaration of Interests: The authors declare no competing interests

Ethics Approval Statement: Ethical approval was obtained from the institutional review board of Tianjin Women and Children's Health Center (No:201706012-1). All women provided informed consent.

Keywords: infant microbiota, maternal transmission, somatic growth

Suggested Citation

Wang, Keqing and Zhai, Qiangrong and Liu, Jinnan and Li, Xi and Chen, Junhong and Wang, Leishen and Ren, Fangyi and Liu, Xiaomin and Wang, Jing and Chen, Bing and Guo, Yuanyuan and Tang, Zhuangyuan and Ye, Qingshi and Liang, Nuowen and Zhang, Guohong and Su, Fengxia and Chen, Fang and Jin, Xin and Zhang, Tao and Li, Weiqin and Liu, Gongshu and Feng, Lingyan and Chen, Chen and Gao, Ya and Wang, Shuo and Administrator, Sneak Peek, Comprehensive Analysis of Maternal and Infant Microbiome Profiles: Maternal Microbial Transmission Shapes Offspring Somatic Growth Trajectory. Available at SSRN: https://ssrn.com/abstract=5251553 or http://dx.doi.org/10.2139/ssrn.5251553
This version of the paper has not been formally peer reviewed.

Keqing Wang

Beijing Genomics Institute (BGI) ( email )

Qiangrong Zhai (Contact Author)

Beijing Genomics Institute (BGI) ( email )

Jinnan Liu

Tianjin Women and Children’s Health Center ( email )

Xi Li

Beijing Genomics Institute (BGI) ( email )

Junhong Chen

Beijing Genomics Institute (BGI) ( email )

Leishen Wang

Tianjin Women and Children’s Health Center ( email )

Fangyi Ren

Beijing Genomics Institute (BGI) - China National Genebank ( email )

Xiaomin Liu

Beijing Genomics Institute (BGI) ( email )

Shenzhen, Guangdong 518083
China

Jing Wang

Tianjin Women and Children’s Health Center ( email )

Bing Chen

Beijing Genomics Institute (BGI) ( email )

Yuanyuan Guo

Tianjin Women and Children’s Health Center ( email )

Zhuangyuan Tang

Chinese Academy of Sciences (CAS) - College of Life Sciences ( email )

Qingshi Ye

Chinese Academy of Sciences (CAS) - College of Life Sciences ( email )

Nuowen Liang

Beijing Genomics Institute (BGI) ( email )

Guohong Zhang

Beijing Genomics Institute (BGI) ( email )

Fengxia Su

MGI Tech Co., Ltd ( email )

Building No.11, Beishan Industrial Zone, Yantian D
Shenzhen, 518083
China

Fang Chen

MGI Tech Co., Ltd ( email )

Beijing Genomics Institute (BGI) ( email )

Xin Jin

Beijing Genomics Institute (BGI) ( email )

Tao Zhang

Beijing Genomics Institute (BGI) ( email )

Shenzhen, Guangdong 518083
China

Beijing Genomics Institute (BGI) - China National Genebank ( email )

Shenzhen
China

University of Copenhagen - Department of Biology ( email )

Ole Maaløes Vej 5
Copenhagen, DK-2200
Denmark

Weiqin Li

Tianjin Women and Children’s Health Center ( email )

Gongshu Liu

Tianjin Women and Children’s Health Center ( email )

Lingyan Feng

Tianjin Women and Children’s Health Center ( email )

Chen Chen

Beijing Genomics Institute (BGI) ( email )

Ya Gao

Beijing Genomics Institute (BGI) ( email )

Shuo Wang

Tianjin Women and Children’s Health Center ( email )

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