Meconium microbiome associates with the development of neonatal jaundice

From BugSigDB
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Dong T, Chen T, White RA, Wang X, Hu W, Liang Y, Zhang Y, Lu C, Chen M, Aase H, Xia Y
Journal
Clinical and translational gastroenterology
Year
2018
OBJECTIVE: Neonatal jaundice is a common disease that affects up to 60% of newborns. Gut microbiota mediated the excretion of bilirubin from the human body. However, the relationship between early gut microbiome and development of neonatal jaundice is not fully understood. Here we sought to characterize meconium microbiome of newborns and to clarify its association with risk of neonatal jaundice. METHODS: We conducted a nested case-control study with 301 newborns providing meconium samples from 2014 to 2015. The main outcome was the development of neonatal jaundice at 42 day follow-up. 16S rRNA gene sequencing was performed to profile the meconium microbiome. LEfSe was employed to identify different features between control and case groups. Logistic regression was used to estimate the risk effect of early gut microbiome on neonatal jaundice. RESULTS: Logistic regression models suggested that higher ɑ-diversity was significantly associated with lower risk of jaundice in cesarean infants (OR 0.72, 95% CI 0.52-0.98), but not in infants born naturally. Higher relative abundance of Bifidobacterium pseudolongum in newborn meconium was significantly associated with lower risk of jaundice both in cesarean-born infants and in the total subjects (OR 0.24, 95% CI 0.07-0.68; OR 0.55, 95% CI 0.31-0.95, respectively). Spearman's correlations showed that relative abundance of B. pseudolongum was significantly correlated with ɑ-diversity (P < 0.01). CONCLUSION: Preventive and treatment methods implying early gut microbiome intervention could be promising for the management of neonatal jaundice.

Experiment 1


Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Aiyshaaaa

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled (if applicable)
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Meconium Meconium
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
neonatal jaundice neonatal hyperbilirubinemia,neonatal icterus,neonatal jaundice
Group 0 name Corresponds to the control (unexposed) group for case-control studies
control
Group 1 name Corresponds to the case (exposed) group for case-control studies
cesarean infants with jaundice
Group 0 sample size Number of subjects in the control (unexposed) group
160
Group 1 sample size Number of subjects in the case (exposed) group
141
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
among all the participants,11 mothers used antibiotics during pregnancy and 4 infants used antibiotics after birth.

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

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
2.5
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
birth weight, gestational age, smoking behavior, maternal age, sex, Confounders controlled for: "delivery mode" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.delivery mode, Confounders controlled for: "feeding pattern" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.feeding pattern, Confounders controlled for: "premature rupture of membranes" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.premature rupture of membranes, Confounders controlled for: "gestational diabetes mellitus" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.gestational diabetes mellitus, Confounders controlled for: "subclinical hypothyroidism in pregnancy" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.subclinical hypothyroidism in pregnancy, alcohol drinking

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 3

Description: LDA Score (log10) between control and case groups in cesarean infants with jaundice

Abundance in Group 1: increased abundance in cesarean infants with jaundice

NCBI Quality ControlLinks
Cupriavidus

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 3

Description: LDA Score (log10) between control and case groups in cesarean infants with jaundice

Abundance in Group 1: decreased abundance in cesarean infants with jaundice

NCBI Quality ControlLinks
Clostridiaceae
Pasteurellaceae
Bifidobacterium pseudolongum subsp. globosum
Pasteurellales

Revision editor(s): WikiWorks

Experiment 2


Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Aiyshaaaa

Differences from previous experiment shown

Subjects

Group 1 name Corresponds to the case (exposed) group for case-control studies
infants with jaundice

Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Supplementary Figure 2

Description: LDA Score (log10) between control and case groups in all infants

Abundance in Group 1: increased abundance in infants with jaundice

NCBI Quality ControlLinks
Clostridium perfringens

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Supplementary Figure 2

Description: LDA Score (log10) between control and case groups in all infants

Abundance in Group 1: decreased abundance in infants with jaundice

NCBI Quality ControlLinks
Rothia mucilaginosa
Streptococcus

Revision editor(s): WikiWorks