Evidence map›Paper›PMID 42399225›Full record

Trial reportNature communications2026

Oral microbiome modulation mitigates hyperglycemia exacerbation in gestational diabetes mellitus.

Shengtao Gao, Nanlin Yin, Rujun Wei, Xiaoqing Li, Qiuhan Cheng, Alateng Zhula, Wen Zhou, Yifei Zhang, Sihan Li, Wei Zhou and 12 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Shengtao Gao *College of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0001-9282-248X
Nanlin Yin *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0002-4806-7330
Rujun Wei *College of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.ORCID http://orcid.org/0009-0003-3375-8395
Xiaoqing Li *Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China.ORCID http://orcid.org/0000-0002-2355-807X
Qiuhan ChengCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Alateng ZhulaState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Wen ZhouCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing, China.
Yifei ZhangDepartment of Dental Materials, Peking University School and Hospital of Stomatology, Beijing, China.ORCID http://orcid.org/0000-0003-2906-8159
Sihan LiCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Wei ZhouCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Xiaoya WangCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.ORCID http://orcid.org/0009-0005-0141-674X
Ruiqi ZhangCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Qiannan WangCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Huimin FanCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Sijia PengCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China.
Hongping ZhangWenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China.
Kefeng LiCenter for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau, China.ORCID http://orcid.org/0000-0002-7233-4347
Yongfei HuState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0002-2158-6018
Yuan GaoChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0002-9510-6515
Wenyu ShiCollege of Biological Sciences, China Agricultural University, Beijing, China. shiwy@cau.edu.cn.ORCID http://orcid.org/0000-0001-7036-8917
Hongbo QiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. qihongbo@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-4911-7942
Jinfeng WangCollege of Food Science & Nutritional Engineering, China Agricultural University, Beijing, China. wangjf@cau.edu.cn.ORCID http://orcid.org/0000-0002-5899-8075

Funding

National Natural Science Foundation of China (National Science Foundation of China) T2341010National Natural Science Foundation of China (National Science Foundation of China) U21A20346
6 · The paper itself

Abstract

Dysglycaemia and periodontal inflammation frequently co-occur during pregnancy, but the microbial mechanisms linking these conditions and their potential for intervention remain incompletely understood. Here, we establish prospective pregnancy cohorts including more than 2500 volunteers and longitudinally profile oral microbiome dynamics in 534 pregnant women. We show that gestational diabetes mellitus (GDM) is associated with a progressive shift from Streptococcus-dominated oral microbiota to Prevotella/Porphyromonas-enriched dysbiosis. In mouse and cellular models, this dysbiotic oral microbiota induces periodontal inflammation, systemic IL-17 and IL-1β responses, suppression of glucagon-like peptide-1 and insulin, and exacerbation of hyperglycemia. Conversely, oral microbiota remodeling through transplantation of Streptococcus-dominated bacteria attenuates periodontal inflammation, restores glucagon-like peptide-1 and insulin levels, and improves glycaemic status in mice. Salivary metabolomics identifies docosahexaenoic acid (DHA) depletion in GDM, and in vitro assays show selective suppression of dysbiosis-associated oral pathogens by DHA. We therefore test topical gingival DHA in a double-blind randomized controlled trial of 40 pregnant women with GDM (ChiCTR2400080741), with probing depth and fasting blood glucose as primary endpoints and gingival index, attachment loss and plaque index as secondary endpoints. Daily gingival DHA application for six weeks improves probing depth and attenuates fasting glucose increase compared with placebo, with median fasting glucose changes from baseline of 0.10 versus 0.27 mmol/L. Together, these findings identify oral dysbiosis as a microbial driver of periodontal and glycaemic deterioration during pregnancy and support oral microbiome modulation as a potential adjunctive strategy for pregnancy care, although the clinical findings remain preliminary and require validation in larger trials with broader glycaemic endpoints.

Indexed as

Diabetes, GestationalHyperglycemiaMicrobiotaMouthAdultAnimalsBlood GlucoseDocosahexaenoic AcidsDouble-Blind MethodDysbiosisFemaleGlucagon-Like Peptide 1HumansMicePeriodontitisPregnancyBlood GlucoseDocosahexaenoic AcidsGlucagon-Like Peptide 1

Identifiers

PMID42399225
PMCPMC13469150

What Socratic holds

Textmetadata
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 Socratic graph.