Can oral microbiome predict low birth weight infant delivery?

Journal: Journal of dentistry

PMID: 38679133

Abstract

OBJECTIVES: This study aimed to identify the oral microbiota factors contributing to low birth weight (LBW) in Chinese pregnant women and develop a prediction model using machine learning.

Authors

Pei Liu

School of Life Sciences, Nanjing University, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing 210000, China.
Weiye Wen

Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, China; Dental Public Health, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.
Ka Fung Yu

Dental Public Health, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.
Raymond Wai Man Tong

Central Research Laboratories, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China.
Xiaoli Gao

Faculty of Dentistry & Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Edward Chin Man Lo

Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.
May Chun Mei Wong

Dental Public Health, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China. Electronic address: mcmwong@hku.hk.

Keywords

Adult Biomarkers Case-Control Studies China Female Humans Infant, Low Birth Weight Infant, Newborn Leptotrichia Machine Learning Microbiota Mouth Pregnancy Prospective Studies Risk Factors RNA, Ribosomal, 16S Saliva Streptococcus

External Resources

View on PubMed Access via DOI PubMed (38679133)

Can oral microbiome predict low birth weight infant delivery?

Abstract

Authors

Keywords

External Resources

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