Role of the Gut Microbiota in the Increased Infant Body Mass Index Induced by Gestational Diabetes Mellitus

Study information

Reviewed Marked as Reviewed by Svetlana up on 2024-10-7

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

36154141

DOI Digital object identifier for electronic documents.

10.1128/msystems.00465-22

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

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Reviewed Marked as Reviewed by Svetlana up on 2024-10-7

Curated date: 2024/10/03

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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

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Maternal 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

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Curated date: 2024/10/03

Curator: Rahila

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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

NCBI	Quality Control	Links
Actinomyces
Actinomycetaceae
Actinomycetales
Cytophaga
Cytophagaceae
Xanthobacteraceae
Yersiniaceae
Xanthobacter
Serratia

Revision editor(s): Rahila, WikiWorks

Signature 2

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Reviewed Marked as Reviewed by Svetlana up on 2024-10-7

Curated date: 2024/10/03

Curator: Rahila

Revision editor(s): Rahila, WikiWorks

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

NCBI	Quality Control	Links
Aerococcaceae
Aerococcus
Alcaligenaceae
Enhydrobacter
Enterobacteriaceae
Eubacteriales
Faecalibacterium
Herbaspirillum
Oscillospiraceae
Psychrobacter
Roseateles
Peptostreptococcales TissierellalesPeptostreptococcales Tissierellales
Burkholderia Caballeronia ParaburkholderiaBurkholderia Caballeronia Paraburkholderia

Revision editor(s): Rahila, WikiWorks