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Mechanisms affecting the gut of preterm infants in enteral feeding trials: a nested cohort within a randomised controlled trial of lactoferrin

OBJECTIVE: To determine the impact of supplemental bovine lactoferrin on the gut microbiome and metabolome of preterm infants. DESIGN: Cohort study nested within a randomised controlled trial (RCT). Infants across different trial arms were matched on several clinical variables. Bacteria and metaboli...

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Detalles Bibliográficos
Autores principales: Young, Greg, Berrington, Janet E, Cummings, Stephen, Dorling, Jon, Ewer, Andrew K, Frau, Alessandra, Lett, Lauren, Probert, Chris, Juszczak, Ed, Kirby, John, Beck, Lauren C, Renwick, Victoria L, Lamb, Christopher, Lanyon, Clare V, McGuire, William, Stewart, Christopher, Embleton, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176413/
https://www.ncbi.nlm.nih.gov/pubmed/36396443
http://dx.doi.org/10.1136/archdischild-2022-324477
Descripción
Sumario:OBJECTIVE: To determine the impact of supplemental bovine lactoferrin on the gut microbiome and metabolome of preterm infants. DESIGN: Cohort study nested within a randomised controlled trial (RCT). Infants across different trial arms were matched on several clinical variables. Bacteria and metabolite compositions of longitudinal stool and urine samples were analysed to investigate the impact of lactoferrin supplementation. SETTING: Thirteen UK hospitals participating in a RCT of lactoferrin. PATIENTS: 479 infants born <32 weeks’ gestation between June 2016 and September 2017. RESULTS: 10 990 stool and 22 341 urine samples were collected. Analyses of gut microbiome (1304 stools, 201 infants), metabolites (171 stools, 83 infants; 225 urines, 90 infants) and volatile organic compounds (314 stools, 117 infants) were performed. Gut microbiome Shannon diversity at 34 weeks corrected age was not significantly different between infants in the lactoferrin (mean=1.24) or placebo (mean=1.06) groups (p=0.11). Lactoferrin receipt explained less than 1% variance in microbiome compositions between groups. Metabolomic analysis identified six discriminative features between trial groups. Hospital site (16%) and postnatal age (6%) explained the greatest variation in microbiome composition. CONCLUSIONS: This multiomic study identified minimal impacts of lactoferrin but much larger impacts of hospital site and postnatal age. This may be due to the specific lactoferrin product used, but more likely supports the findings of the RCT in which this study was nested, which showed no impact of lactoferrin on reducing rates of sepsis. Multisite mechanistic studies nested within RCTs are feasible and help inform trial interpretation and future trial design.