Evidence map›Paper›PMID 41013499›Full record

ArticleBMC oral health2025

The impact of maternal oral microbiota on the risk of small vulnerable newborns: a nested case-control study.

Xingying Li, Qiuli Xiao, Xu Xiong, Bing-Cheng Du, Huajun Zheng, Yi Su, Weiwei Zhang, Xushan Cai, Tingyu Zhu, Anxin Yin and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xingying Li *School of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai, 200032, China.
Qiuli Xiao *School of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai, 200032, China.
Xu XiongSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70118, USA.
Bing-Cheng DuDepartment of Statistics, University of Toronto, Toronto, M5S1A1, Canada.
Huajun ZhengNHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, 200032, China.
Yi SuEye & ENT Hospital of Fudan University, Shanghai, 200031, China.
Weiwei ZhangEye & ENT Hospital of Fudan University, Shanghai, 200031, China.
Xushan CaiDepartment of Clinical Laboratory, Shanghai Jiading Maternal and Child Health Hospital, Shanghai, 201821, China.
Tingyu ZhuSchool of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai, 200032, China.
Anxin YinSchool of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai, 200032, China.
Yuezhu WangNHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, 200032, China.
Haiqi WangDepartment of Woman Health Care, Shanghai Jiading Maternal and Child Health Hospital, Shanghai, 201821, China. 13671828072@163.com.
Hong JiangSchool of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai, 200032, China. h_jiang@fudan.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC2704605National Natural Science Foundation of China 81973057Shanghai "Science and Technology Innovation Action Plan" International Intergovernmental Science and Technology Cooperation Project 22410712700the Key Discipline and Project of High⁃Quality Development of Public Health of School of Public Health, Fudan University-Jiading District Health Commission GWGZLXK⁃2023⁃04the Sixth Round of the Three-Year Public Health Action Plan of Shanghai GWVI-11.1-32
6 · The paper itself

Abstract

backgroundSmall vulnerable newborns (SVNs) account for most neonatal deaths worldwide. Though maternal periodontal disease has been shown associated with an increased risk of preterm birth (PTB) and low birth weight (LBW), little evidence shows the potential mechanism. Our study aimed to explore the association between maternal oral microbiota and SVNs before and during pregnancy.

methodsA nested 1:4 case-control study was undertaken. Women delivering SVNs, including spontaneous PTB, LBW, and small-for-gestational-age (SGA) newborns, were selected as cases, while women delivering normal newborns were randomly selected as controls. 480 unstimulated saliva samples were collected from 240 women (48 cases and 192 controls) in preconception and late pregnancy. 16 S rRNA gene sequencing was used for analysis.

resultsWomen with SVNs showed lower richness index (p = 0.032) in oral microbiota during preconception, lower shannon (p = 0.028) and simpson (p = 0.023) index in late pregnancy compared to the control group. Granulicatella and Streptococcus were significantly enriched in saliva both before and during pregnancy in women delivering SVNs. The two evaluated genera were positively correlated with enriched metabolic pathways like lactose and galactose degradation. These genera and their species were also enriched among women in the PTB and SGA sub-groups.

conclusionsWomen with SVNs exhibited significantly lower diversity in oral microbiota, with two enriched genera Granulicatella and Streptococcus in both before and during pregnancy.

Indexed as

Infant, Small for Gestational AgeMicrobiotaMouthAdultCase-Control StudiesFemaleHumansInfant, Low Birth WeightInfant, NewbornPregnancyPremature BirthSaliva16S rRNANested case-control studyOral microbiotaPICRUSt2Small vulnerable newborn

Identifiers

PMID41013499
PMCPMC12465159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.