Meconium microbiome associates with the development of neonatal jaundice

Study information

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

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

30237489

DOI Digital object identifier for electronic documents.

10.1038/s41424-018-0048-x

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

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

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Aiyshaaaa, ChiomaBlessing, Chikamso, Joan Chuks

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: Neonatal jaundice neonatal hyperbilirubinemia,neonatal icterus,neonatal jaundice,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 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: 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

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: 2.5

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: alcohol drinking, birth weight, gestational age, gestational diabetes, smoking behavior, maternal age, sex, 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, Confounders controlled for: "CDISC SDTM mode of delivery terminology" 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.CDISC SDTM mode of delivery terminology, Confounders controlled for: "feeding difficulties" 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 difficulties, preterm premature rupture of the membranes

Alpha Diversity

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

Signature 1

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Curator: Rimsha Azhar

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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 Control	Links
Cupriavidus

Revision editor(s): WikiWorks

Signature 2

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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 Control	Links
Clostridiaceae
Pasteurellaceae
Bifidobacterium pseudolongum subsp. globosum
Pasteurellales

Revision editor(s): WikiWorks

Experiment 2

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

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Aiyshaaaa, ChiomaBlessing, Joan Chuks

Differences from previous experiment shown

Subjects

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

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: infants with jaundice

Statistical Analysis

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: alcohol drinking, birth weight, gestational age, smoking behavior, maternal age, sex, 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, gestational diabetes, feeding practices, preterm premature rupture of the membranes, mode of birth