Differential intestinal and oral microbiota features associated with gestational diabetes and maternal inflammation

From BugSigDB
Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Xu Y, Zhang M, Zhang J, Sun Z, Ran L, Ban Y, Wang B, Hou X, Zhai S, Ren L, Wang M, Hu J
Journal
American journal of physiology. Endocrinology and metabolism
Year
2020
Keywords:
16S rRNA, gestational diabetes mellitus, intestinal microbiota, oral microbiota
Maternal microbiota is involved in many metabolic diseases. However, its role in the pathophysiology of gestational diabetes mellitus (GDM) remains unclear. In this case-control study, we performed a 16S rRNA sequencing-based microbial survey to compare the intestinal and oral microflora at third trimester during pregnancy between 30 GDM and 31 normal controls. Sequentially, a correlation-based network analysis was further performed to explore the interactions among microbiota, maternal and infant blood sugar, and inflammatory markers. Our results show that, compared with controls, the GDM cases showed significant differences in β-diversity and increased Gammaproteobacteria and Hemophilus in intestinal microbiota. Furthermore, the GDM cases showed lower α-diversity, increased Selenomonas and Bifidobacterium, and decreased Fusobacteria and Leptotrichia in oral microbiota. The ROC curve showed the area under the curve to be equal to 0.70 and 0.66 when using oral Leptotrichia or gut Hemophilus, respectively, to predict GDM status. In addition, the components and topography of microbial cooccurrence and coexclusion network were quite distinct by GDM status. In summary, intestinal and oral microorganisms in pregnant women are closely related to the status of GDM in the third trimester of pregnancy. The changes of intestinal and oral microbial features may be noninvasive biomarkers for monitoring the health management of GDM pregnancy.

Experiment 1


Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/09

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1, WikiWorks, Peace Sandy

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Gestational diabetes diabetes in pregnancy,GDM,gestational diabetes,gestational diabetes mellitus,maternal gestational diabetes mellitus,Gestational diabetes
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy controls
Group 1 name Corresponds to the case (exposed) group for case-control studies
Individuals with gestational diabetes
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Individuals with gestational diabetes at third trimester during pregnancy
Group 0 sample size Number of subjects in the control (unexposed) group
31
Group 1 sample size Number of subjects in the case (exposed) group
30
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
2 weeks

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Mann-Whitney (Wilcoxon)
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
Yes
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged
Simpson Estimator of species richness and species evenness: more weight on species evenness
unchanged

Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/27

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1, Davvve

Source: Figure 1 D

Description: Differential microbial abundance between individuals diagnosed with gestational diabetes and healthy controls.

Abundance in Group 1: increased abundance in Individuals with gestational diabetes

NCBI Quality ControlLinks
Gammaproteobacteria
Haemophilus
Pasteurellaceae
Pasteurellales

Revision editor(s): Madhubani Dey, Claregrieve1, Davvve

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/27

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1, Davvve

Source: Figure 1 D

Description: Differential microbial abundance between individuals diagnosed with gestational diabetes and healthy controls.

Abundance in Group 1: decreased abundance in Individuals with gestational diabetes

NCBI Quality ControlLinks
Alistipes
Phascolarctobacterium
Rikenellaceae

Revision editor(s): Madhubani Dey, Claregrieve1, Davvve

Experiment 2


Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/09

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1, WikiWorks, Victoria

Differences from previous experiment shown

Subjects

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Saliva Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva,saliva


Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness
unchanged

Signature 1

Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/09

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1

Source: Figure 2D

Description: Differential microbial abundance between individuals diagnosed with gestational diabetes and healthy controls

Abundance in Group 1: increased abundance in Individuals with gestational diabetes

NCBI Quality ControlLinks
Bifidobacteriaceae
Bifidobacteriales
Bifidobacterium
Selenomonas

Revision editor(s): Madhubani Dey, Claregrieve1

Signature 2

Reviewed Marked as Reviewed by Claregrieve1 on 2022/11/28

Curated date: 2021/06/27

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Claregrieve1

Source: Figure 2D

Description: Differential microbial abundance between individuals diagnosed with gestational diabetes and healthy controls

Abundance in Group 1: decreased abundance in Individuals with gestational diabetes

NCBI Quality ControlLinks
Fusobacteriota
Fusobacteriaceae
Fusobacteriia
Lachnoanaerobaculum
Lactobacillaceae
Leptotrichia
Leptotrichiaceae
Leuconostoc

Revision editor(s): Madhubani Dey, Claregrieve1