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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT03229863
Other study ID # 919505
Secondary ID
Status Active, not recruiting
Phase N/A
First received
Last updated
Start date April 18, 2017
Est. completion date March 10, 2027

Study information

Verified date June 2023
Source University of California, Davis
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

This study is examining the relationship between infant nutrition, gut health, and development. The fecal microbiota changes and develops, in large part due to the food that infants eat. These changes are important for many aspects of development. This study is designed to examine how the fecal microbiota changes when exclusively breastfed infants are first introduced to solid food, and how changes of the fecal microbiota are related to other aspects of development.


Description:

The purpose of this study is to determine: 1) how the gut bacteria of exclusively breastfed infants changes in response to ingesting solid foods; 2) how infant cognition develops in response to ingesting solid foods; and 3) the relationship between infant gut bacteria and infant cognition during the first year of life. This study is designed to determine how specific complex carbohydrates in commonly used first foods encourage the growth of different bacteria in the infant gut. The two foods used in this study are commercially-available sweet potato (Plum Organics) and pear (Earth's Best). These two foods have been chosen because they differ substantially from each other in their carbohydrate composition. For example, sweet potato is mostly made up of starch which is digestible and pear is made up of other types of sugars found in fruits and vegetables that are not digestible and may have "prebiotic" effects (food for good bacteria in the gut). Thus, the use of these two foods could provide a good contrast for comparing how gut bacteria respond to different carbohydrate compositions during complementary feeding.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 102
Est. completion date March 10, 2027
Est. primary completion date March 10, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Female
Age group 21 Years to 45 Years
Eligibility Inclusion Criteria: - Women, age 21 to 45 years who have delivered a healthy single infant by vaginal delivery and their infants, age 4 to 7.5 months; - Infants who are developmentally ready for solids; - Generally healthy women and infants; - Mothers who plan to exclusively (without solids or infant formula) breastfeed (at the breast or feed breast milk by bottle) their infants for at least 5 months of age and plan to continue to breastfeed with solids and/or infant formula until 12 months of age; - Mothers who are willing to either use their own breast pump, or hand-express, or use a manual pump provided by the study to collect milk samples; - Mothers who are willing to refrain from feeding their infants infant formula, non-study solid foods; probiotic or iron supplements (confounding variables of the intestinal microbiome) before the end of the feeding intervention period; - Term infants born >37 weeks gestation; - Mother-infant pairs who live within a 20-mile radius from University of California, Davis campus in Davis, California (includes Woodland, Vacaville, Dixon and surrounding areas) or within a 20-mile radius of the University of California, Davis Medical Center (UCDMC) (2221 Stockton Blvd, Sacramento, CA 95817). Exclusion Criteria: - Infants with any GI tract abnormalities; - Infants born by cesarean section; - Family history of immunodeficiency syndrome(s); - Multiple infants born to one mother at the same time (no twins, triplets, etc.); - Infants born with medical complications such as: respiratory distress syndrome, birth defects, and infection; - Mothers diagnosed with any metabolic or endocrine, liver, kidney disease, any autoimmune disease, cirrhosis, hepatitis C, HIV, AIDS, cancer, obesity (pre-pregnancy BMI >34.9), polycystic ovary syndrome (PCOS), celiac disease, Crohn's disease, heart disease, hyper- or hypothyroidism, hyper- or hypotension (including pre-eclampsia), type 1 or type 2 diabetes. - Mothers who smoked cigarettes less than one month before becoming pregnant, during pregnancy, and currently or mothers who plan to initiate smoking during the study duration; - Infants who have taken antibiotics within the past 4 weeks; - Infants who have taken iron supplements within the past 4 weeks; - Infants who have consumed infant formula in the past 4 weeks; - Infants who have consumed infant formula more than 10 days between birth and 4 weeks prior to screening; - Infants who have consumed any solids; - Mothers who plan to feed infants solids before 5 months of age; - Mothers who plan to administer any probiotics to infants throughout the feeding intervention period (first 18 days of the study); - Infants who have consumed probiotics containing Bifidobacterium within the past 4 weeks or other probiotics within the past 7 days; - Mothers who live in more than one location (should only live in one house to ensure samples are correctly collected and stored); - Infants who have hypotonia, - Infants who have been diagnosed with any medical or nutritional condition that would require iron supplementation. - Infants who on average pass less than one stool per week.

Study Design


Intervention

Other:
Sweet Potatos
Plum Organics, Just Sweet Potato
Pears
Earth's Best, First Pears

Locations

Country Name City State
United States University of California, Davis Davis California

Sponsors (3)

Lead Sponsor Collaborator
University of California, Davis Mengniu Dairy, UC Davis Foods for Health Institute

Country where clinical trial is conducted

United States, 

References & Publications (32)

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Dominguez-Bello MG, Costello EK, Contreras M, Magris M, Hidalgo G, Fierer N, Knight R. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc Natl Acad Sci U S A. 2010 Jun 29;107(26):11971-5. doi: 10.1073/pnas.1002601107. Epub 2010 Jun 21. — View Citation

Faith JJ, Guruge JL, Charbonneau M, Subramanian S, Seedorf H, Goodman AL, Clemente JC, Knight R, Heath AC, Leibel RL, Rosenbaum M, Gordon JI. The long-term stability of the human gut microbiota. Science. 2013 Jul 5;341(6141):1237439. doi: 10.1126/science.1237439. — View Citation

Foster JA, McVey Neufeld KA. Gut-brain axis: how the microbiome influences anxiety and depression. Trends Neurosci. 2013 May;36(5):305-12. doi: 10.1016/j.tins.2013.01.005. Epub 2013 Feb 4. — View Citation

Garrido D, Kim JH, German JB, Raybould HE, Mills DA. Oligosaccharide binding proteins from Bifidobacterium longum subsp. infantis reveal a preference for host glycans. PLoS One. 2011 Mar 15;6(3):e17315. doi: 10.1371/journal.pone.0017315. — View Citation

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LoCascio RG, Ninonuevo MR, Freeman SL, Sela DA, Grimm R, Lebrilla CB, Mills DA, German JB. Glycoprofiling of bifidobacterial consumption of human milk oligosaccharides demonstrates strain specific, preferential consumption of small chain glycans secreted in early human lactation. J Agric Food Chem. 2007 Oct 31;55(22):8914-9. doi: 10.1021/jf0710480. Epub 2007 Oct 5. — View Citation

Makino H, Kushiro A, Ishikawa E, Muylaert D, Kubota H, Sakai T, Oishi K, Martin R, Ben Amor K, Oozeer R, Knol J, Tanaka R. Transmission of intestinal Bifidobacterium longum subsp. longum strains from mother to infant, determined by multilocus sequencing typing and amplified fragment length polymorphism. Appl Environ Microbiol. 2011 Oct;77(19):6788-93. doi: 10.1128/AEM.05346-11. Epub 2011 Aug 5. — View Citation

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Sela DA, Chapman J, Adeuya A, Kim JH, Chen F, Whitehead TR, Lapidus A, Rokhsar DS, Lebrilla CB, German JB, Price NP, Richardson PM, Mills DA. The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome. Proc Natl Acad Sci U S A. 2008 Dec 2;105(48):18964-9. doi: 10.1073/pnas.0809584105. Epub 2008 Nov 24. — View Citation

Sela DA, Garrido D, Lerno L, Wu S, Tan K, Eom HJ, Joachimiak A, Lebrilla CB, Mills DA. Bifidobacterium longum subsp. infantis ATCC 15697 alpha-fucosidases are active on fucosylated human milk oligosaccharides. Appl Environ Microbiol. 2012 Feb;78(3):795-803. doi: 10.1128/AEM.06762-11. Epub 2011 Dec 2. — View Citation

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Tao N, DePeters EJ, German JB, Grimm R, Lebrilla CB. Variations in bovine milk oligosaccharides during early and middle lactation stages analyzed by high-performance liquid chromatography-chip/mass spectrometry. J Dairy Sci. 2009 Jul;92(7):2991-3001. doi: 10.3168/jds.2008-1642. — View Citation

Totten SM, Zivkovic AM, Wu S, Ngyuen U, Freeman SL, Ruhaak LR, Darboe MK, German JB, Prentice AM, Lebrilla CB. Comprehensive profiles of human milk oligosaccharides yield highly sensitive and specific markers for determining secretor status in lactating mothers. J Proteome Res. 2012 Dec 7;11(12):6124-33. doi: 10.1021/pr300769g. Epub 2012 Nov 19. — View Citation

Vatanen T, Kostic AD, d'Hennezel E, Siljander H, Franzosa EA, Yassour M, Kolde R, Vlamakis H, Arthur TD, Hamalainen AM, Peet A, Tillmann V, Uibo R, Mokurov S, Dorshakova N, Ilonen J, Virtanen SM, Szabo SJ, Porter JA, Lahdesmaki H, Huttenhower C, Gevers D, Cullen TW, Knip M; DIABIMMUNE Study Group; Xavier RJ. Variation in Microbiome LPS Immunogenicity Contributes to Autoimmunity in Humans. Cell. 2016 May 5;165(4):842-53. doi: 10.1016/j.cell.2016.04.007. Epub 2016 Apr 28. Erratum In: Cell. 2016 Jun 2;165(6):1551. — View Citation

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* Note: There are 32 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Infant fecal microbiota composition The difference in the relative abundance of the infant fecal microbiome at the order level (top 22 taxonomic orders with abundance expressed as both on log10 scale and a percent of total bacteria) between baseline and post-complementary food intake for each intervention arm (sweet potato vs. pear). Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Primary Infant fecal microbial diversity The difference in the infant fecal microbial diversity and microbial function between baseline and post-complementary food intake for each arm (sweet potato vs. pear) Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Primary Incidence of Adverse Events and Treatments Incidence of gastrointestinal symptoms (discomfort passing bowel movements, vomiting, constipation, colic or irritability), illnesses, health care visits for sickness, high fevers, antibiotic and medication use. Baseline-days 180
Secondary Dietary composition The relationship between the relative abundance of the infant fecal microbiome and function, and food glycan composition. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant cognition The relationship between the relative abundance of the infant fecal microbiome, microbial diversity and function, and infant cognition measured at 6, 8 and 12 months of age Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant sleep The relationship between the relative abundance of the infant fecal microbiome, microbial diversity and function, and infant sleep, activity and vocalizations measured throughout the study period. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Maternal secretor status and infant fecal microbiota The relationship between maternal secretor status (via measurement of human milk oligosaccharides in breast milk) and the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant secretor status and fecal microbiota The relationship between infant secretor status (via measurement of oligosaccharides in saliva) the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Maternal and infant fecal microbiota The relationship between maternal and infant fecal microbiome. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant fecal human milk oligosaccharide concentrations The change in infant fecal human milk oligosaccharide concentrations before, during and after introduction of complementary foods. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant weight Determine the relationship between infant weight and the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Human milk metabolomics Determine the relationship between human milk metabolomics (metabolites, fatty acids, proteins) and the infant fecal microbiome. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Fecal metabolomics Determine the relationship between fecal metabolites (metabolites, fatty acids, proteins) and fecal microbiome. Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Infant gastrointestinal function Change in GI function as a means to monitor tolerability before, during and after introduction of complementary foods (through the measurement of fecal inflammatory mediators, GI barrier function markers and fecal LPS). Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
Secondary Glycosidic linkages Evaluate the glycosidic linkages in interventional foods and the infant fecal microbiome. Change from baseline to day 29
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