Role of the Gut Microbiota in the Increased Infant Body Mass Index Induced by Gestational Diabetes Mellitus
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Zhu Q, Yang X, Zhang Y, Shan C, Shi Z
Journal
mSystems
Year
2022
Keywords:
16S rRNA, BMI, gestational diabetes mellitus, microbiota
The connection between gestational diabetes mellitus (GDM) and the offspring's development, such as obesity, is well established. Emerging evidence indicates that the microbiota of the neonate's meconium is associated with maternal GDM status. To explore whether the association between GDM and infant body mass index (BMI) in early childhood is affected by the meconium microbiota, we recruited 120 mothers (60 healthy women and 60 with GDM) and their newborns from the Women's Hospital of Nanjing Medical University. Meconium of 120 neonates was collected within a few hours after birth and sequenced using 16S rRNA sequencing analysis. Children's BMI was measured at 12 months of age. The results revealed that infants born to mothers with GDM had increased BMI Z-scores at 12 months old and that the β-diversity of their meconium microbiota was reduced. Several genera were observed to be significantly different between the GDM and control groups. The genus Burkholderia-Caballeronia-Paraburkholderia and an untitled genus in the family Enterobacteriaceae enriched in neonates born to healthy mothers were found to be negatively associated with infant BMI by using regression analysis. A coabundance group depleted in the GDM group was correlated negatively with 12-month BMI and mediated 21.65% of the association between GDM and infant BMI by mediation analyses. This study provided evidence for the associations among maternal GDM, the meconium microbiota, and infant BMI. Maternal GDM was demonstrated to affect infant BMI, mediated by the gut microbiome. Gut microbiome interventions might represent a novel technique to decrease the risk of GDM-induced childhood obesity. IMPORTANCE Using 16S rRNA sequencing analysis, regression analysis and mediation analysis were used to explore whether maternal gestational diabetes mellitus (GDM) changed the function and composition of the meconium microbiota and whether this explained the GDM-induced alterations of infant body mass index (BMI). This study showed that gut microbiome dysbiosis induced by maternal GDM might play an important role in the increased infant BMI during the first 12 months of life. Therefore, gut microbiome interventions might represent a novel technique to decrease the risk of GDM-induced childhood obesity.
Experiment 1
Reviewed Marked as Reviewed by Svetlana up on 2024-10-7
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
- Meconium Meconium,meconium
- 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
- Gestational diabetes mellitus (GDM)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Infants born to women who had gestational diabetes mellitus (GDM)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 60
- Group 1 sample size Number of subjects in the case (exposed) group
- 60
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 3 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3
- 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
- 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)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2.0
Alpha Diversity
- Richness Number of species
- decreased
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2024-10-7
Source: FIG 2 (D)
Description: Linear discriminant analysis (LDA) scores for crucial bacteria classification with different abundances in Gestational diabetes mellitus (GDM) versus healthy controls
Abundance in Group 1: increased abundance in Gestational diabetes mellitus (GDM)
| NCBI | Quality Control | Links |
|---|---|---|
| Actinomyces | ||
| Actinomycetaceae | ||
| Actinomycetales | ||
| Cytophaga | ||
| Cytophagaceae | ||
| Xanthobacteraceae | ||
| Yersiniaceae | ||
| Xanthobacter | ||
| Serratia |
Revision editor(s): Rahila
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2024-10-7
Source: FIG 2 (D)
Description: Linear discriminant analysis (LDA) scores for crucial bacteria classification with different abundances in Gestational diabetes mellitus (GDM) versus healthy controls
Abundance in Group 1: decreased abundance in Gestational diabetes mellitus (GDM)
Revision editor(s): Rahila
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