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RecruitingNCT06870981

Optimizing Nutrition and Milk (Opti-NuM) Project

Improving Growth and Neurodevelopment of Very Low Birth Weight Infants Through Precision Nutrition: The Optimizing Nutrition and Milk (Opti-NuM) Project

Status
Recruiting
Phase
Study type
Observational
Enrollment
1,100 (estimated)
Sponsor
The Hospital for Sick Children · Academic / Other
Sex
All
Age
1 Hour – 21 Days
Healthy volunteers
Not accepted

Summary

Early nutrition critically influences growth, neurodevelopment and morbidity among infants born of very low birth weight (VLBW), but current one-size-fits-all feeding regimes do not optimally support these vulnerable infants. There is increasing interest in "precision nutrition" approaches, but it is unclear which Human Milk (HM) components require personalized adjustment of doses. Previous efforts have focused on macronutrients, but HM also contains essential micronutrients as well as non-nutrient bioactive components that shape the gut microbiome. Further, it is unclear if or how parental factors (e.g. body mass index, diet) and infant factors (e.g. genetics, gut microbiota, sex, acuity) influence relationships between early nutrition and growth, neurodevelopment and morbidity. Understanding these complex relationships is paramount to developing effective personalized HM feeding strategies for VLBW infants. This is the overarching goal of the proposed Optimizing Nutrition and Milk (Opti-NuM) Project. The Opti-NuM Project brings together two established research platforms with complementary expertise and resources: 1) the MaxiMoM Program\* with its clinically embedded translational neonatal feeding trial network in Toronto (Dr. Deborah O'Connor, Dr. Sharon Unger) and 2) the International Milk Composition (IMiC) Consortium, a world-renowned multidisciplinary network of HM researchers and data scientists collaborating to understand how the myriad of HM components contribute "as a whole" to infant growth and development, using systems biology and machine learning approaches. Members of the IMiC Corsortium that will work with on this study are located at the University of Manitoba (Dr. Meghan Azad), University of California (Dr. Lars Bode) and Stanford (Dr. Nima Aghaeepour).

Detailed description

Observational study mode: The Opti-NuM Project is a retrospective secondary data/sample use study. Time perspective: Secondary use data and biospecimens accruing from the 2 completed studies DoMINO and OptiMOM (NCT02137473) and 1 ongoing RCT MaxiMoM (NCT05308134) are included in this project. Sampling method: This project is a secondary use of data/samples, from a cohort consisting of participants of the MaxiMoM Platform RCTs.

Conditions

Interventions

TypeNameDescription
OTHEROpti-NuM is an observational secondary use of data/samples study, the investigators will analyze information and specimens from the MaxiMoM platform RCTs. No interventions form part of this study.

Timeline

Start date
2010-10-01
Primary completion
2026-12-01
Completion
2027-12-01
First posted
2025-03-11
Last updated
2025-03-11

Locations

6 sites across 2 countries: United States, Canada

Source: ClinicalTrials.gov record NCT06870981. Inclusion in this directory is not an endorsement.

Optimizing Nutrition and Milk (Opti-NuM) Project (NCT06870981) · Clinical Trials Directory