Obesity(MILK)NCT03301753
Maternal Obesity, Breast Milk Composition, and Infant Growth
An observational study of Obesity and Pregnancy, run by University of Minnesota at 2 sites in United States.
Trial summary
Today the majority of pregnant women in the United States are either overweight or obese at conception with their offspring having greater adiposity at birth, a 2-fold greater risk of later obesity, and neonatal insulin resistance. Read more about this study
- Who is it for?
- Ages 0 to 45 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity, Pregnancy, Breastmilk Collection
- How many people
- 2,050 participants
- Where
- 2 sitesUnited States
- Study dates
- 1 Jul 2014to 31 Dec 2031
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 0 to 45 years
- All sexes
- Healthy volunteers accepted
- Child, Adult
Study population: (Minneapolis site): In the Twin Cities metro area, subjects will be recruited from patients who attend medical group clinics for Ob/Gyn care in their second trimester of pregnancy through the various means, including through the OB/GYN department of the University of Minneosta Medical School via letter and follow-up phone call for final screening. (Oklahoma City site): Recruitment in the OKC metro area will be through OUHSC Ob/Gyn clinic, and local private practice OB/GYN clinics during the second trimester, through the La Leche League, and public announcements.
Who may be able to join
- Pregnant females
- 21 to 45 years of age at the time of delivery
- Pre-gravid BMI between 18.5 to 40 kg/m2
- Healthy pregnancy defined as <3 days in hospital following delivery
- Report during enrollment procedures that they have social support for and intention to exclusively breastfeed for at least 3-months
- If parity >1, report that they successfully breast fed a previous pregnancy for at least 3 months
Show all 9Show fewer
- Singleton gestation
- Term pregnancy (gestational age >37 but <42 weeks)
- Infant birth weight >2,500 grams but <4,500 grams.
Who cannot join
- Alcohol consumption >1 drink per week during pregnancy/lactation
- Tobacco consumption during pregnancy/lactation
- History/current Type I or II diabetes
- Inability to speak/understand English
- Known congenital metabolic, endocrine disease, or congenital illness affecting infant feeding/growth
Trial locations and contacts
2 sites in 1 country.
United States2 sites
University of Minnesota School of Public Health
Minneapolis, Minnesota, 55454
University of Oklahoma Health Sciences Center
Oklahoma City, Oklahoma, 73104
About this study
Today the majority of pregnant women in the United States are either overweight or obese at conception with their offspring having greater adiposity at birth, a 2-fold greater risk of later obesity, and neonatal insulin resistance. It was long thought that breast milk composition was fairly uniform among women, having been optimized through evolutionary time to provide adequate sole nutrition for the growing infant regardless of the environmental circumstances. However, recent evidence shows that breast milk is a highly complex fluid with significant inter-individual variation in hormonal and cytokine concentrations, human milk oligosaccharides (HMOs) and other features. Pervasive maternal obesity and gestational diabetes are evolutionarily novel conditions for the human species but little effort has yet been made to systematically examine how they are associated with breast milk adipose-tissue derived hormone and cytokine (adipocytokine) variation, HMOs, or other features, or whether that variation relates to infant metabolic status. The objective of this study is to comprehensively assess the "lactational programming" hypothesis, that is, whether or not recently documented variation in breast-milk composition is related to both maternal and infant metabolic status. The central hypothesis is that a graded, dose-response relationship between maternal adiposity and GDM exists with adipocytokine concentrations, HMOs, and other features in breast milk and that the milk concentrations of these features are associated with altered body composition in their exclusively breast-fed offspring. The results of the study will be used to design interventions to reduce maternal weight during pregnancy and lactation and to augment lactation education materials to focus on the needs of breastfeeding women with obesity and GDM.
Read the detailed description
General Study Design A prospective observational pregnancy cohort of 600 women who exclusively breastfeed their infants to at least 1 month post-partum, will be recruited in the second trimester of pregnancy, across a wide range of maternal pre-pregnancy BMI, with equal numbers of normal weight, overweight, and obese women, and with and without Gestational Diabetes Mellitis. The women will be recruited at two study centers (University of Oklahoma Health Sciences Center in Oklahoma City, OK and Health Partners Research Foundation in Saint Paul/Minneapolis, MN), with maternal and infant diet, body composition and metabolic health followed prospectively at 1, 3 and 6-months post-partum in Specific Aims 1 and 2. In Specific Aim 3, a subset of 60 of these mother/infant dyads "Mothers in Focus" (30 OB and 30 NW mothers) will be recruited for additional biospecimen collection, including milk samples at 2 and 6-months, maternal body composition changes using DXA, infant DXA, metabolomic comparison of serial milk samples, and follow-up to 12 rather than 6-months.
Data Collection Elements:
Maternal Adiposity. Maternal pre-pregnancy BMI status (NW, OW, OB) is the primary exposure used to power the study. Pre-pregnancy BMI will be determined using first (baseline) clinic weights from the electronic medical records (EMR) (no more than 90 d. after last menstrual period), and stature measured by research staff at the mother's first visit to our research centers. BMI will be categorized as underweight (BMI <18.5), normal weight (BMI 18.5 - <25), overweight (BMI 25 - <30) and obese (BMI ≥30 kg/m2).
Gestational weight gain (GWG) and postpartum weight loss/retention:Total GWG will be calculated as the difference between delivery weight and baseline weight (as documented above). If weight at delivery is not available, the last prenatal weight in the EMR, ≤14 days from birth, will be used. Trimester specific GWG will be calculated from the EMR. GWG will be used as a continuous and as a categorical exposure (excessive, appropriate, and insufficient, according to the IOM 2009 guidelines. Early PP weight loss (from delivery to 1-month postpartum), and later PP weight loss from 1-month to 3-months PP will be calculated. Concurrent changes in maternal weight and milk adipocytokine levels from 0 - 1 month and 1 - 3 months will be examined, hypothesizing that greater PP weight loss (lower weight retention) is associated with lower levels of milk adipocytokines. Gestational diabetes will be examined as a predictor of milk composition variation.
Milk Collection: Changes in milk composition will be assessed from 1 to 3 months. Definition of exclusive breast feeding: Study staff will confirm that all infants have been exclusively breast milk fed (i.e. no formula, no liquid other than water and no solids) at least 14 days prior to the 1-month visit and plan to continue exclusively breastfeed to 3 months. Exclusive breast milk feeding will include any combination of expressed breast milk and breast milk fed via the breast.
Breast Milk Collection Protocol: Mother and child will report to the study site at 1 and 3-months (± 5 days) postpartum, between 8:00-10:00 am, at least 1½ hours since the last feeding and while the mother has fasted at least 1 hour. A pre-feeding infant weight will be obtained using a high sensitivity scale, the mother will be encouraged to feed the child ad libitum from both breasts until volitionally satisfied, and a postfeeding infant weight will be obtained (difference = milk output). Questionnaire information, maternal anthropometry, and infant body composition data will be collected, and 2 hours later, the mother will provide a single breast expression sample using an electric breast pump (Medela, Inc., provided by the study team). Breast milk will be mixed, aliquoted and stored at -80°C.
Milk Adipocytokine Assays: Milk samples will be thawed in the refrigerator and vortexed. Milk fat will be separated from the aqueous phase by centrifugation at 3,000g for 10 minutes at 4°C. The resulting skimmed milk will be assayed using commercially available immunoassay kits for insulin, IGF-1/BP, high molecular weight adiponectin, visfatin, leptin, IL-1β, IL-6, IL-10, and TNF-α. Glucose will be measured by the glucose oxidase method. To examine additional cytokine and growth factor concentrations (e.g., interleukins, interferons, TGF- β) in a manner that conserves sample, a multiplex assay (EMD Millipore, Billerica, MA) and the Luminex 200 Multiplex analyzer will be employed.
Data Analysis for Specific Aim 1: For each of the milk adipocytokines (continuous dependent variables), separate mixed effects regression models (to account for serial milk data) will be constructed, first testing crude associations of milk IL-6 at both 1 and 3-months with each maternal adiposity variable (excessive GWG, pre-pregnancy BMI status, total GWG, trimester-specific GWG, early and later PP weight loss), and then minimally adjusted models (also adjusting for infant sex and gestational age, study center (OK or MN), maternal age, parity, ethnicity, and maternal socioeconomic status) and finally fully-adjusted regression models including those variables determined to be potential confounders. In secondary analyses, possible effect modification of the maternal adiposity associations will be assessed by adding interaction terms. If the interaction term is significant, a stratified analyses will be conducted.
Data Collection for Specific Aim 2 Infant Body Composition. Total body composition will be measured using air displacement plethysmography (ADP) i.e. Pea Pod (v 3.1.1), a rapid, valid, highly reliable (% fat CV%< 2.5% in our hands) method of total body volume estimation from which total body fat (FM) and fat-free mass (FFM) is determined using prediction equations. Both the University of Minnesota and the University of Oklahoma have the same ADP (same manufacturer, model and software versions).
Infant insulin secretion and resistance at 6 months: C-peptide, or connecting peptide, as a marker of insulin secretion will be collected. Serum C-peptide is secreted in equimolar amounts by the pancreas as insulin, but is a more stable measure because it is not prone to degradation following hemolysis. C-peptide was used as a marker of fetal beta cell function in the HAPO (Hyperglycemia and Adverse Pregnancy Out-come) study to assess the effects of maternal obesity and gestational diabetes on adverse pregnancy and infant outcomes. Insulin resistance will be estimated using homeostasis model assessment (HOMA-IR). Blood will be obtained via heel-stick in the infant at the time of the 6 month visit to the study center, as is routine in our laboratories, which yields ~ 1.0 cc of blood. Whole blood will be kept on ice until centrifugation in our laboratories, and 0.5 mL of serum aliquoted at stored at -80 C until shipped to Dr. Fields' laboratory for analysis using ELISA (Millipore, Billerica, MA; Intra-assay CV = 5%; Inter-assay CV = 6%). Interpretation of C-peptide requires blood glucose level which will be measured in the same blood sample using the glucose oxidase method.
Milk Macronutrient Content: Total fat content will be measured by the Mojonnier method Fatty acid composition will be assessed by gas chromatography using the International Dairy Federation (IDF) methods. Other standard methods will quantitate total nitrogen, ash, moisture, and carbohydrates.
Infant Appetite, Satiety, and Diet: Shortened versions of the infant diet questionnaires used in the Infant Feeding Practices Study II at 1 month, 3-months, and 6-months will assess maternal report of infant dietary intake. Maternal perception of infant appetite will be measured using the Baby Eating Behavior Questionnaire. Infant Sleep: The Sadeh Brief Infant Sleep Questionnaire has been validated against actigraphy and will be used to assess sleeping behavior at each visit. Additional Potential Confounders: See Specific Aim 1.
Data Analysis(Specific Aim 2) Statistical Analysis: The over-arching primary hypothesis is that milk adipocytokine concentrations will be associated with altered body composition from ages 1 to 6-months, and with elevated C-peptide or HOMA-IR at 6 months, independent of potential confounders. Example Hypothesis 2.a1: Higher levels of the appetite suppressing hormone leptin at 1 and/or 3-months will be associated with lower infant weight gain, reflecting specifically lower FFM gain from 1 - 6 months. We will use mixed effects linear and logistic regression as the primary analysis approach to address this and related hypotheses. Growth and body composition data will be serial (0 [for weight], 1, 3, and 6-months), which will be examined using mixed effects models which models the covariance structure of the repeated measures within subject and allows for subject-specific intercept and slopes to be modeled. Milk adipocytokines are the independent variables of interest. Because their individual relationships to infant growth and other outcomes may not be linear, quintiles or quartiles of milk adipocytokines as well as continuously distributed variables will be examined. Multiple milk adipocytokines will be included simultaneously in final models, to test their independent effects on infant outcomes and to assess their aggregate effects (variance explained).
- Conditions
- Obesity, Pregnancy, Breastmilk Collection, Infant Overnutrition, Gestational Diabetes Mellitus (GDM)
- Medical subject headings
- Obesity, Breast Milk Expression, Infant Nutrition Disorders, Diabetes, Gestational
What is being measured
The primary outcome is the main question the study is designed to answer.
Milk Composition Changes
Breastmilk hormone concentration changes
Measured: 1-3 months post-partum
Secondary outcomes (1)
Infant Body Composition Changes
Percent Fat Changes
Measured: 0-6 months of age
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Oct 2017
- Study start1 Jul 2014
- Primary completion31 Dec 2030 (estimated)
- Study completion31 Dec 2031 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- More trials run by University of MinnesotaThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2,050 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Minnesota
- Sponsor type
- University, hospital or other
- Collaborators
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), HealthPartners Institute, University of Oklahoma
- Responsible party
- Sponsor
- Investigators
- David Fields, PhD, Principal investigator, University of OklahomaEllen Demerath, PhD, Principal investigator, University of Minnesota
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03301753
- Sponsor's protocol ID
- 140M50203
- Other IDs
- R01HD080444
- Acronym
- (MILK)
- Status last verified
- Sep 2026
- First submitted
- 13 Sep 2017
- Last updated
- 8 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: As required by the NICHD, we will upload our clinical subject data and non-genomic milk specimen analyses to the NICHD Data and Specimen Hub (DASH). Data submitted to NICHD DASH will be individual-level research data that has been de-identified and is usable for secondary analysis. This will include maternal and infant demographics, diet intake data, clinical status information, body weight and growth data, body composition data, infant feeding and breastfeeding data, maternal physical activity and behavioral data, milk compositional data, and infant fecal microbiome data. All research data submitted to NICHD DASH will be accompanied by proper documentation including study protocol, data collection instruments, data dictionaries, and data de-identification methodology.
Publications
Furst AJ, Johnson KE, Nagel EM, Yerabandi N, Kats AM, Gallagher TT, Gale CA, Palmsten K, Pierce S, Hoffman S, Jacobs K, Fields DA, Isganaitis EM, Bode L, Demerath EW. Gestational diabetes, human milk oligosaccharide concentrations, and their links to infant weight gain and the gut microbiome in a United States observational cohort. Am J Clin Nutr. 2026 Apr;123(4):101235. doi: 10.1016/j.ajcnut.2026.101235. Epub 2026 Feb 10.
PubMed 41672407Johnson KE, Heisel T, Allert M, Furst A, Yerabandi N, Knights D, Jacobs KM, Lock EF, Bode L, Fields DA, Rudolph MC, Gale CA, Albert FW, Demerath EW, Blekhman R. Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome. Cell Genom. 2024 Oct 9;4(10):100638. doi: 10.1016/j.xgen.2024.100638. Epub 2024 Sep 11.
PubMed 39265573Sadr Dadres G, Whitaker KM, Haapala JL, Foster L, Smith KD, Teague AM, Jacobs DR Jr, Kharbanda EO, McGovern PM, Schoenfuss TC, Le LJ, Harnack L, Fields DA, Demerath EW. Relationship of Maternal Weight Status Before, During, and After Pregnancy with Breast Milk Hormone Concentrations. Obesity (Silver Spring). 2019 Apr;27(4):621-628. doi: 10.1002/oby.22409.
PubMed 30900412
Study at a glance
From the registry record, last updated by the sponsor on 8 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Maternal Obesity, Breast Milk Composition, and Infant Growth
- ClinicalTrials.gov ID
- NCT03301753
- Acronym / sponsor ID
- (MILK) / 140M50203
- Conditions
- Obesity, Pregnancy, Breastmilk Collection, Infant Overnutrition, Gestational Diabetes Mellitus (GDM)
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 2,050 participants (actual)
- Lead sponsor
- University of MinnesotaUniversity, hospital or other
- Collaborators
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), HealthPartners Institute, University of Oklahoma
- Study start
- 1 Jul 2014 (actual)
- Primary completion
- 31 Dec 2030 (estimated)
- Study completion
- 31 Dec 2031 (estimated)
- First posted
- 4 Oct 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Today the majority of pregnant women in the United States are either overweight or obese at conception with their offspring having greater adiposity at birth, a 2-fold greater risk of later obesity, and neonatal insulin resistance. It was long thought that breast milk composition was fairly uniform among women, having been optimized through evolutionary time to provide adequate sole nutrition for the growing infant regardless of the environmental circumstances. However, recent evidence shows that breast milk is a highly complex fluid with significant inter-individual variation in hormonal and cytokine concentrations, human milk oligosaccharides (HMOs) and other features. Pervasive maternal obesity and gestational diabetes are evolutionarily novel conditions for the human species but little effort has yet been made to systematically examine how they are associated with breast milk adipose-tissue derived hormone and cytokine (adipocytokine) variation, HMOs, or other features, or whether that variation relates to infant metabolic status. The objective of this study is to comprehensively assess the "lactational programming" hypothesis, that is, whether or not recently documented variation in breast-milk composition is related to both maternal and infant metabolic status. The central hypothesis is that a graded, dose-response relationship between maternal adiposity and GDM exists with adipocytokine concentrations, HMOs, and other features in breast milk and that the milk concentrations of these features are associated with altered body composition in their exclusively breast-fed offspring. The results of the study will be used to design interventions to reduce maternal weight during pregnancy and lactation and to augment lactation education materials to focus on the needs of breastfeeding women with obesity and GDM.
Detailed description
General Study Design A prospective observational pregnancy cohort of 600 women who exclusively breastfeed their infants to at least 1 month post-partum, will be recruited in the second trimester of pregnancy, across a wide range of maternal pre-pregnancy BMI, with equal numbers of normal weight, overweight, and obese women, and with and without Gestational Diabetes Mellitis. The women will be recruited at two study centers (University of Oklahoma Health Sciences Center in Oklahoma City, OK and Health Partners Research Foundation in Saint Paul/Minneapolis, MN), with maternal and infant diet, body composition and metabolic health followed prospectively at 1, 3 and 6-months post-partum in Specific Aims 1 and 2. In Specific Aim 3, a subset of 60 of these mother/infant dyads "Mothers in Focus" (30 OB and 30 NW mothers) will be recruited for additional biospecimen collection, including milk samples at 2 and 6-months, maternal body composition changes using DXA, infant DXA, metabolomic comparison of serial milk samples, and follow-up to 12 rather than 6-months.
Data Collection Elements:
Maternal Adiposity. Maternal pre-pregnancy BMI status (NW, OW, OB) is the primary exposure used to power the study. Pre-pregnancy BMI will be determined using first (baseline) clinic weights from the electronic medical records (EMR) (no more than 90 d. after last menstrual period), and stature measured by research staff at the mother's first visit to our research centers. BMI will be categorized as underweight (BMI <18.5), normal weight (BMI 18.5 - <25), overweight (BMI 25 - <30) and obese (BMI ≥30 kg/m2).
Gestational weight gain (GWG) and postpartum weight loss/retention:Total GWG will be calculated as the difference between delivery weight and baseline weight (as documented above). If weight at delivery is not available, the last prenatal weight in the EMR, ≤14 days from birth, will be used. Trimester specific GWG will be calculated from the EMR. GWG will be used as a continuous and as a categorical exposure (excessive, appropriate, and insufficient, according to the IOM 2009 guidelines. Early PP weight loss (from delivery to 1-month postpartum), and later PP weight loss from 1-month to 3-months PP will be calculated. Concurrent changes in maternal weight and milk adipocytokine levels from 0 - 1 month and 1 - 3 months will be examined, hypothesizing that greater PP weight loss (lower weight retention) is associated with lower levels of milk adipocytokines. Gestational diabetes will be examined as a predictor of milk composition variation.
Milk Collection: Changes in milk composition will be assessed from 1 to 3 months. Definition of exclusive breast feeding: Study staff will confirm that all infants have been exclusively breast milk fed (i.e. no formula, no liquid other than water and no solids) at least 14 days prior to the 1-month visit and plan to continue exclusively breastfeed to 3 months. Exclusive breast milk feeding will include any combination of expressed breast milk and breast milk fed via the breast.
Breast Milk Collection Protocol: Mother and child will report to the study site at 1 and 3-months (± 5 days) postpartum, between 8:00-10:00 am, at least 1½ hours since the last feeding and while the mother has fasted at least 1 hour. A pre-feeding infant weight will be obtained using a high sensitivity scale, the mother will be encouraged to feed the child ad libitum from both breasts until volitionally satisfied, and a postfeeding infant weight will be obtained (difference = milk output). Questionnaire information, maternal anthropometry, and infant body composition data will be collected, and 2 hours later, the mother will provide a single breast expression sample using an electric breast pump (Medela, Inc., provided by the study team). Breast milk will be mixed, aliquoted and stored at -80°C.
Milk Adipocytokine Assays: Milk samples will be thawed in the refrigerator and vortexed. Milk fat will be separated from the aqueous phase by centrifugation at 3,000g for 10 minutes at 4°C. The resulting skimmed milk will be assayed using commercially available immunoassay kits for insulin, IGF-1/BP, high molecular weight adiponectin, visfatin, leptin, IL-1β, IL-6, IL-10, and TNF-α. Glucose will be measured by the glucose oxidase method. To examine additional cytokine and growth factor concentrations (e.g., interleukins, interferons, TGF- β) in a manner that conserves sample, a multiplex assay (EMD Millipore, Billerica, MA) and the Luminex 200 Multiplex analyzer will be employed.
Data Analysis for Specific Aim 1: For each of the milk adipocytokines (continuous dependent variables), separate mixed effects regression models (to account for serial milk data) will be constructed, first testing crude associations of milk IL-6 at both 1 and 3-months with each maternal adiposity variable (excessive GWG, pre-pregnancy BMI status, total GWG, trimester-specific GWG, early and later PP weight loss), and then minimally adjusted models (also adjusting for infant sex and gestational age, study center (OK or MN), maternal age, parity, ethnicity, and maternal socioeconomic status) and finally fully-adjusted regression models including those variables determined to be potential confounders. In secondary analyses, possible effect modification of the maternal adiposity associations will be assessed by adding interaction terms. If the interaction term is significant, a stratified analyses will be conducted.
Data Collection for Specific Aim 2 Infant Body Composition. Total body composition will be measured using air displacement plethysmography (ADP) i.e. Pea Pod (v 3.1.1), a rapid, valid, highly reliable (% fat CV%< 2.5% in our hands) method of total body volume estimation from which total body fat (FM) and fat-free mass (FFM) is determined using prediction equations. Both the University of Minnesota and the University of Oklahoma have the same ADP (same manufacturer, model and software versions).
Infant insulin secretion and resistance at 6 months: C-peptide, or connecting peptide, as a marker of insulin secretion will be collected. Serum C-peptide is secreted in equimolar amounts by the pancreas as insulin, but is a more stable measure because it is not prone to degradation following hemolysis. C-peptide was used as a marker of fetal beta cell function in the HAPO (Hyperglycemia and Adverse Pregnancy Out-come) study to assess the effects of maternal obesity and gestational diabetes on adverse pregnancy and infant outcomes. Insulin resistance will be estimated using homeostasis model assessment (HOMA-IR). Blood will be obtained via heel-stick in the infant at the time of the 6 month visit to the study center, as is routine in our laboratories, which yields ~ 1.0 cc of blood. Whole blood will be kept on ice until centrifugation in our laboratories, and 0.5 mL of serum aliquoted at stored at -80 C until shipped to Dr. Fields' laboratory for analysis using ELISA (Millipore, Billerica, MA; Intra-assay CV = 5%; Inter-assay CV = 6%). Interpretation of C-peptide requires blood glucose level which will be measured in the same blood sample using the glucose oxidase method.
Milk Macronutrient Content: Total fat content will be measured by the Mojonnier method Fatty acid composition will be assessed by gas chromatography using the International Dairy Federation (IDF) methods. Other standard methods will quantitate total nitrogen, ash, moisture, and carbohydrates.
Infant Appetite, Satiety, and Diet: Shortened versions of the infant diet questionnaires used in the Infant Feeding Practices Study II at 1 month, 3-months, and 6-months will assess maternal report of infant dietary intake. Maternal perception of infant appetite will be measured using the Baby Eating Behavior Questionnaire. Infant Sleep: The Sadeh Brief Infant Sleep Questionnaire has been validated against actigraphy and will be used to assess sleeping behavior at each visit. Additional Potential Confounders: See Specific Aim 1.
Data Analysis(Specific Aim 2) Statistical Analysis: The over-arching primary hypothesis is that milk adipocytokine concentrations will be associated with altered body composition from ages 1 to 6-months, and with elevated C-peptide or HOMA-IR at 6 months, independent of potential confounders. Example Hypothesis 2.a1: Higher levels of the appetite suppressing hormone leptin at 1 and/or 3-months will be associated with lower infant weight gain, reflecting specifically lower FFM gain from 1 - 6 months. We will use mixed effects linear and logistic regression as the primary analysis approach to address this and related hypotheses. Growth and body composition data will be serial (0 [for weight], 1, 3, and 6-months), which will be examined using mixed effects models which models the covariance structure of the repeated measures within subject and allows for subject-specific intercept and slopes to be modeled. Milk adipocytokines are the independent variables of interest. Because their individual relationships to infant growth and other outcomes may not be linear, quintiles or quartiles of milk adipocytokines as well as continuously distributed variables will be examined. Multiple milk adipocytokines will be included simultaneously in final models, to test their independent effects on infant outcomes and to assess their aggregate effects (variance explained).
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 0 to 45 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult
- Study population
- (Minneapolis site): In the Twin Cities metro area, subjects will be recruited from patients who attend medical group clinics for Ob/Gyn care in their second trimester of pregnancy through the various means, including through the OB/GYN department of the University of Minneosta Medical School via letter and follow-up phone call for final screening. (Oklahoma City site): Recruitment in the OKC metro area will be through OUHSC Ob/Gyn clinic, and local private practice OB/GYN clinics during the second trimester, through the La Leche League, and public announcements.
Key inclusion criteria (9 listed)
- Pregnant females
- 21 to 45 years of age at the time of delivery
- Pre-gravid BMI between 18.5 to 40 kg/m2
- Healthy pregnancy defined as <3 days in hospital following delivery
- Report during enrollment procedures that they have social support for and intention to exclusively breastfeed for at least 3-months
Key exclusion criteria (5 listed)
- Alcohol consumption >1 drink per week during pregnancy/lactation
- Tobacco consumption during pregnancy/lactation
- History/current Type I or II diabetes
- Inability to speak/understand English
- Known congenital metabolic, endocrine disease, or congenital illness affecting infant feeding/growth
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Milk Composition Changes
Time frame: 1-3 months post-partum
Breastmilk hormone concentration changes
1 secondary outcome
Infant Body Composition Changes
Time frame: 0-6 months of age
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Sep 2026.
- Derived from this study: PubMed 41672407Furst AJ, Johnson KE, Nagel EM, Yerabandi N, Kats AM, Gallagher TT, Gale CA, Palmsten K, Pierce S, Hoffman S, Jacobs K, Fields DA, Isganaitis EM, Bode L, Demerath EW. Gestational diabetes, human milk oligosaccharide concentrations, and their links to infant weight gain and the gut microbiome in a United States observational cohort. Am J Clin Nutr. 2026 Apr;123(4):101235. doi: 10.1016/j.ajcnut.2026.101235. Epub 2026 Feb 10.
- Derived from this study: PubMed 39265573Johnson KE, Heisel T, Allert M, Furst A, Yerabandi N, Knights D, Jacobs KM, Lock EF, Bode L, Fields DA, Rudolph MC, Gale CA, Albert FW, Demerath EW, Blekhman R. Human milk variation is shaped by maternal genetics and impacts the infant gut microbiome. Cell Genom. 2024 Oct 9;4(10):100638. doi: 10.1016/j.xgen.2024.100638. Epub 2024 Sep 11.
- Derived from this study: PubMed 30900412Sadr Dadres G, Whitaker KM, Haapala JL, Foster L, Smith KD, Teague AM, Jacobs DR Jr, Kharbanda EO, McGovern PM, Schoenfuss TC, Le LJ, Harnack L, Fields DA, Demerath EW. Relationship of Maternal Weight Status Before, During, and After Pregnancy with Breast Milk Hormone Concentrations. Obesity (Silver Spring). 2019 Apr;27(4):621-628. doi: 10.1002/oby.22409.
- The MILk Study website provides information on the study for study participantsLink provided by the sponsor.
- Individual participant dataSharing planned: Yes. As required by the NICHD, we will upload our clinical subject data and non-genomic milk specimen analyses to the NICHD Data and Specimen Hub (DASH). Data submitted to NICHD DASH will be individual-level research data that has been de-identified and is usable for secondary analysis. This will include maternal and infant demographics, diet intake data, clinical status information, body weight and growth data, body composition data, infant feeding and breastfeeding data, maternal physical activity and behavioral data, milk compositional data, and infant fecal microbiome data. All research data submitted to NICHD DASH will be accompanied by proper documentation including study protocol, data collection instruments, data dictionaries, and data de-identification methodology.
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Active, not recruiting
Effect of Probiotics on Insulin Sensitivity in Overweight and Obese Pregnancy
Obesity & Overweight, Gestational Diabetes Mellitus (GDM)
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
David Fields, PhD principal investigator
University of Oklahoma
Ellen Demerath, PhD principal investigator
University of Minnesota
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity and Pregnancy, run by University of Minnesota at 2 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 8 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Milk Composition Changes (time frame: 1-3 months post-partum). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03301753, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Sep 2026.