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Targeting Gut Microbiota and Metabolites for Very Preterm Infants Through Oropharyngeal Administration of Colostrum

Targeting Gut Microbiota and Metabolites for Very Preterm Infants Through Oropharyngeal Administration of Colostrum: Protocol for a Multicenter Randomized Controlled Trial

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05481866
Enrollment
320
Registered
2022-08-01
Start date
2022-10-31
Completion date
2023-10-31
Last updated
2022-08-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gut Microbiota, Metabolites

Brief summary

Background: Oropharyngeal administration of colostrum (OAC) has an immune stimulating effect on oropharyngeal-associated lymphoid tissue, and can also promote the maturation of the gastrointestinal tract. However, how OAC promotes intestinal maturation in preterm infants by altering the gut microbiota remains unclear. We aim to assess the changes of gut microbiota and metabolites after OAC in very preterm infants. Methods: A multicenter, double-blind, randomized controlled trial will be conducted in 3 large NICUs in Shenzhen, China, for preterm infants with gestational age less than 32 weeks and birth weight less than 1500g. The intervention group will be given 0.2ml colostrum for oropharyngeal administration every 3 hours, which will start between the first 48 to 72 hours and continue for 5 consecutive days; The control group will be given sterile water for oropharyngeal administration, and the administration scheme will be the same as above. Stool samples will be collected at the first defecation and the 7th day after birth. It is estimated that 320 preterm infants will participate in the study within 1 year. 16sRNA gene sequencing and liquid chromatography-mass spectrometry will be used to analyze the effect of OAC on gut microbiota and metabolites. Discussion: The proposal advocates for the promotion of OAC as a safe and relatively beneficial initiative among neonatal intensive care units, and this initiative may contribute to the establishment of a dominant intestinal flora. Findings of this study may help to improve the health outcomes of preterm infants by constructing targeted gut microbiota in future studies.

Detailed description

Preterm infants with gestational age \< 32 weeks and weight \< 1500g will be evaluated. Infants who met the inclusion criteria will be randomly divided into two groups according to the ratio of 1:1. The intervention group will be given oropharyngeal colostrum every 3 hours for 5 days; the control group will be given sterile water with the same dosage and administration scheme. Stool samples will be collected at the first defecation and the 7th day to detect the gut microbiota and metabolites.

Interventions

OTHEROropharyngeal administration of colostrum

The intervention group will be given 0.2ml colostrum for oropharyngeal administration every 3 hours.

The control group will be given 0.2ml sterile water for oropharyngeal administration every 3 hours.

Sponsors

Shenzhen Bao'an Maternal and Child Health Hospital
CollaboratorOTHER
Longgang Maternal and Child Health Hospital, Shenzhen, Guangdong
CollaboratorUNKNOWN
Shenzhen People's Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
DOUBLE (Subject, Caregiver)

Eligibility

Sex/Gender
ALL
Age
No minimum to 32 Weeks
Healthy volunteers
Yes

Inclusion criteria

* gestational age less than 32 weeks and birth weight less than 1500g; * admission to NICU ≤ 24 hours; * be able to start the agreement within 72 hours of birth.

Exclusion criteria

* birth asphyxia (defined as umbilical artery / first hour arterial PH \< 7.0 or cardiopulmonary resuscitation in the delivery room); * birth complicated with severe gastrointestinal malformations (such as intestinal atresia, esophago-tracheal fistula, intestinal rotation abnormalities, congenital megacolon); * prenatal diagnosis of congenital chromosomal abnormalities or suspected congenital genetic metabolic diseases; * maternal drug abuse or contraindications to breastfeeding (HIV and cytomegalovirus infection).

Design outcomes

Primary

MeasureTime frameDescription
A between-group difference in gut microbial alpha diversity will be measured by Shannon diversity index at the 7th day.1 yearShannon diversity Index explains species richness and evenness, which is one of the alpha diversity indexes and less affected by rare species.
Between-group differences in the concentration of fecal metabolites (short chain fatty acids) will be quantitatively measured by non targeted liquid chromatography-mass spectrometry (LC-MS) at the 7th day.1 yearNon-targeted LC-MS will be used to evaluate short chain fatty acids and other organic acids and alcohols. The relative and absolute quantitative results of metabolites will be calculated by fold change (FC) value, and the difference of metabolite expression between the two groups will be explored.

Secondary

MeasureTime frameDescription
A between-group difference in the Simpson diversity index at the 7th day1 yearSimpson diversity index explains species richness, which is one of the alpha diversity indexes and susceptible to rare species.
A between-group difference in the Chao1 diversity index at the 7th day.1 yearChao1 diversity index explains species richness, which is one of the alpha diversity indexes.
Proportion of gut microbiota (phylum and genus level)at the 7th day.1 yearAfter preprocessing to remove low-quality sequences, the original data will be analyzed according to the steps of 16S rRNA discovery, clustering and identification. Calculate the number of operational taxonomic units (OTUs) of each sample at a 97% sequence similarity level. A specific taxonomic units represents a specific species.
Gut microbial beta diversity explaining between-sample dissimilarity will be calculated using the Vegan package.1 yearAdonis permutational multivariate analysis of variance of Bray-Curtis distances with 9999 permutations will be used to compare the microbial community structure between each of the two groups at the 7th day.
Correlation between dominant microbiota and metabolites1 yearThe correlation between the relative abundance of dominant bacterial taxa from 16S rRNA gene sequencing and the intensity of metabolites of interest will be determined by sparse partial least squares regression (SPLs) at the first defecation at the 7th day.

Countries

China

Contacts

Primary ContactZhangbin Yu, PhD
yuzhangbin@126.com13913994149

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026