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Not listed No phase listed Observational

Evolutionary and Sociocultural Aspects of Human Milk Composition

ClinicalTrials.gov ID: NCT02670278

Public ClinicalTrials.gov record NCT02670278. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

ClinicalTrials.gov public records Last synced Sep 6, 2026, 12:34 AM EDT

Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

It is well-known that breastfeeding protects infants from illness, especially in the poorest regions of the world. The full nature of this protective effect, however, is less well understood. A major barrier to understanding is the fact that almost nothing is known about the factors that influence the considerable variation in milk composition around the globe, or about the effects of this variation on infant health. This INSPIRE project represents the first comprehensive investigation of the global differences in human milk composition along with the various microbial, evolutionary, environmental, and sociocultural factors that might influence both milk composition and infant health. An international, interdisciplinary collaboration of physiologists, nutritional scientists, anthropologists, microbiologists, and mathematicians will collect biological data from breastfeeding women and their infants, in concert with extensive anthropologic and ecological data, in both developed (US, Spain, Sweden) and developing countries (Central African Republic, Gambia, Ghana, Peru, and Kenya). To test the possibility of a correlation between milk oligosaccharide composition, milk microbiota, and the gastrointestinal microbiome of infants, milk samples and infant fecal samples will be analyzed using state-of-the-art biochemical and genomic techniques. This study will allow important cross-cultural comparisons of milk composition and infant feeding practices; it also will utilize sophisticated computational methods to integrate the extensive, diverse body of combined biological and anthropological data to elucidate the relationships among sociocultural factors, evolutionary history, environmental exposures, microbial constituents and milk composition. The researchers predict that what is considered "normal" milk composition in one population may not support optimal health in another. This information is crucial to the humanitarian quest to understand how infant nutrition and overall health can be improved around the world. In addition, this project will provide extensive research training opportunities for undergraduate, graduate and postdoctoral scientists.

Study identification

NCT ID
NCT02670278
Recruitment status
Not listed
Study type
Observational
Phase
Not listed
Enrollment
960 participants

Conditions and interventions

Interventions

Not listed

Eligibility (public fields only)

Age range
1 Month and older
Sex
All
Healthy volunteers
Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Apr 30, 2014
Primary completion
Jul 31, 2018
Completion
Not listed
Last update posted
Jan 31, 2016

Started 2014

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
School of Biological Sciences Pullman Washington 99164 Recruiting

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT02670278, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Jan 31, 2016 · Synced Sep 6, 2026

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