Sample collection: Collect breast-milk and feces from mother-infant-pairs.
Study summary
The investigators aim to collect breast-milk and feces from the participants, and apply culture techniques as well as omics sequencing technology to probe into the microbial and metabolomic signature of the specimens.
Eligibility
Sex
ALL
Min age
—
Max age
40 Years
Healthy volunteers
Accepted
Inclusion Criteria:
* healthy pregnant women aged between 20y and 40y.
* Vaginal birth
* BMI\<23.5 before pregnancy
* Infants' birth weight, between 2500g and 4000g.
Exclusion Criteria:
* gestational diabetes
* diagnosis of depressive disorder during pregnancy
* gestational hypertension
* diagnosis of other diseases during pregnancy
* Under probiotics or antibiotic treatment from 3 months prior to pregnancy till 3 months after delivery
* histrory of smoking and drinking alcohol
* history of diarrhea from 3 months prior to pregnancy till 3 months after delivery
Primary outcome measure(s)
Compare the omics differences of the specimens between the experimental and control groups — 2021.7.1-2026.12.30 Apply 16S amplicon sequencing and shotgun sequencing technology to obtain microbial structure of the specimens. The differences of microbial structure will be compared between the experimental and control groups. Significance among multiple groups was tested using a one-way analysis of variance (ANOVA), followed by the least significant difference (LSD) post hoc test. Groups with different characters denoting a significant difference, while having the same character denotes p-value \> 0.05 in LSD test.
Compare the microbial feature differences of the specimens between the experimental and control groups — 2021.7.1-2026.12.30 Apply traditional culture technologies to validate and obtain human source bacteria.The differences of frequencies of probiotics will be compared between the experimental and control groups. Depending on the distribution of the variables, either the Mann-Whitney test or the unpaired Student's t-test was employed for quantitative variables. The Kruskal-Wallis test for mean values was used to evaluate non-parametric comparisons between participants in all groups. Significance among multiple groups was tested using a one-way analysis of variance (ANOVA), followed by the least significant difference (LSD) post hoc test. Groups with different characters denoting a significant difference, while having the same character denotes p-value \> 0.05 in LSD test.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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