Effect of Colostrum on Innate Mucosal Immunity in Very Premature Infants
Effect of Colostrum on Innate Mucosal Immunity in Very Premature Infants
Background:
Infection in preterm infants is a common, costly, and devastating problem frequently causing death or sequelae for survivors. An immature immune system underlies the frequency and severity of infections in this vulnerable population. The mouth is the site where microbes first meet the mucosal immune system. Antimicrobial proteins and peptides (APPs) in saliva kill microbes and improve immune cell function. Low APP levels increase the risk of developing infection. Colostrum and human milk reduce the risk of infection. This protective effect of human milk may come from supplying or stimulating infant production of APPs. No prior investigation has determined the concentration of APPs in saliva or the effect of human milk/formula on the APP concentrations in saliva.
Objective(s) and Hypothesis(es):
The investigators objectives are to identify and serially determine the concentrations of key APPs in colostrum, human milk, and preterm infant saliva using highly-sensitive and specific mass spectroscopy methods. The investigators study is designed to test the hypotheses that (a) all saliva APPs increase over time, (b) APP concentrations are higher in colostrum as compared to human milk, and (c) APPs are increased in saliva of infants that receive colostrum orally compared to those that do not.
Potential Impact:
If increased saliva APP levels are associated with oral colostrum priming, this discovery would advance understanding of the immune properties of human milk and identify oral APPs as important immune elements and potential therapeutic targets in this vulnerable population. This knowledge has the potential to alter feeding practices and provide a safe, low cost means to improve immune function and significantly improve outcomes for preterm infants.
Background: Between 20 and 60% of very low birth weight (VLBW) infants are diagnosed with infection during their initial hospitalization2-9. Infection in preterm infants is a costly and devastating problem associated with high mortality and debilitating survivor morbidity. High infection rates are attributed to suboptimal preterm neonatal immune function. In depth investigation of the unique properties of the preterm neonatal immune function is necessary to identify novel interventions that can translate into improved neonatal outcomes.
Mucosal surfaces are critical immune barriers that shield against host microbial invasion by surface-colonizing commensal or potentially pathogenic organisms. Antimicrobial proteins and peptides (APPs) on mucosal surfaces reduce microbial burden individually and synergistically by direct killing of microbes and by improving immune surveillance through activation of local sentinel cells. Deficiencies in these innate immune proteins predispose the host to infection or dysregulated inflammation. Two major classes of APPs (defensins and cathelicidin) are present on mucosal surfaces in adults. Colostrum and human milk (HM) contain some APPs that may play an adjuvant role on mucosal sites including the mouth. HM ingestion is associated with a decreased risk of developing sepsis and necrotizing enterocolitis in preterm infants. One potential mechanism behind the reduction in infection risk associated with HM feeding may be enhanced immunocompetence through provision of APPs and induction of neonatal APP production. Investigators are not aware of any investigation that has determined the neonatal salivary concentration of any APP or the effect of oral priming (OP) with colostrum on the concentration of salivary APPs. It is also unknown whether OP with formula modifies salivary APPs.
Objectives and Hypotheses: Our objectives are to determine: 1) the concentration of salivary APPs from preterm infants at baseline and 7 days later, 2) the effect of oral priming (OP) with either human milk or formula on salivary APP concentrations, and 3) the concentration of APPs in colostrum as compared to milk. Our hypotheses are: 1) All salivary APPs increase over time in preterm infants (with or without OP) 2) Compared with formula OP or no OP, colostrum OP is associated with a significantly greater increase in salivary LL-37 and hBD2 concentrations and 3) Colostrum contains a greater concentration of LL-37 compared to human milk.
Design: Following the mother's decision to provide human milk or formula to her preterm newborn, VLBW infants will be randomized to receive OP or not. Investigators will compare the concentration of salivary APPs from VLBW infants that receive OP to VLBW infants that do not. Saliva will be sampled prior to and after 5 days of OP. Time-matched saliva samples will be obtained from the infants that do not receive OP. APP concentrations will be compared between the biological mother's colostrum (both whey and fat fractions) and her transitional milk (produced >7 days after birth). To account for the heterogeneous VLBW population, investigators will study 200 infants (50 infants/group, 4 groups) to test our hypotheses. Both inborn and outborn VLBW infants are eligible. Exclusion criteria include infants with a medical contraindication for oral or enteral feeds, congenital anomalies or chromosomal disorders. Saliva and milk-based proteomes including APPs will be determined using Matrix Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF).
Potential Impact: This is the first study of APPs in saliva of human neonates. If increased saliva APP levels are associated with colostrum OP, this discovery would add to our understanding of the immune properties of human milk. Identification of APPs as important elements that improve immune function is likely to alter the approach to infant nutrition and improve outcomes for premature infants. Ultimately, our goal is to determine whether there is an association between APP levels in neonatal saliva and the incidence of neonatal infection (including NEC) in an appropriately powered clinical study based on the data generated in this proposal.
Inclusion Criteria:
Exclusion Criteria: