Clinical trial NCT05551650: El Sendero: Pathways to Health Study
Official title: Early Life Social, Environmental, and Nutritional Determinants of Disease
Study type: OBSERVATIONAL
Overall status: ENROLLING_BY_INVITATION
Conditions: Obesity, Childhood
Child Development
Keywords: Childhood
Brain development
Adiposity
Nutrition
HMOs
Air-pollution
Lead sponsor: University of Southern California
Sponsor class: OTHER
Collaborators: name: University of Colorado, Denver
name: University of California, San Diego
First posted: 2022-09-23
Enrollment: 280
Sex: ALL
Minimum age (years): 6
Maximum age (years): 6
Standard ages: CHILD
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: Normal, overweight or obese (\>25 BMI kg/m2) non-diabetic Hispanic mothers (18-59yrs) and their children (6y) from Los Angeles, CA.

Brief summary: This project will continue to follow two birth cohorts of mother-infant Latino dyads through a series of new assessments at age 6y, with an emphasis on examining the the role early nutritional exposures, exposures to environmental toxins, and social determinants of health have on adiposity, eating behaviors, brain structure and function, cognitive outcomes, and chronic disease risk.

Detailed description: This project will continue our work in two birth cohorts of mother-infant Latino dyads (NCT04434027 \& NCT03141346) through a series of new assessments at age 6y, with a focus on examining the role of early nutritional exposures, exposures to environmental toxins, and social determinants of health (SDOH) on adiposity, eating behaviors, brain structure and function, cognitive outcomes, and chronic disease risk. This collection of assessments at 6 years of age is funded by two grants (R01 DK110793 01A1 \& P50 MD017344). Breast milk has been shown to contain certain macronutrients (human milk oligosaccharides; HMOs) that vary greatly among women. Research from our lab recently characterized associations of HMOs with infant obesity, eating behaviors, and brain development as well as dynamic changes in HMOs over the course of breastfeeding and suggests that these factors are significant predictors of infant weight gain and adiposity. Additionally, we already obtained detailed individual measures of ambient and near-roadway air pollution exposure from pregnancy to 2y of age. Our previous work in a subset of participants from the proposed cohort found that increased prenatal exposure to ambient air pollutants was associated with increased infant growth and adiposity after adjusting for infant sex and age, pre-pregnancy BMI, breastfeeding, maternal age, season of birth, and SES. By conducting longer-term follow-up with more rigorous outcomes at age 6y, we will be able to more definitively determine if and how early nutrition, particularly specific HMOs, impact chronic disease risk in Latino children as well as how environmental exposure to toxins and the food environment may exacerbate these health outcomes. Here, we will explore:

1. The impact of infant exposure to environmental toxins on subclinical markers of chronic disease risk at age 6y.
2. The impact of infant exposure to environmental toxins and nutrition, especially the HMOs 2'FL, LNFPI, LNFPII, LNnT \& LNH, in early life on adiposity and chronic disease risk at age 6y.
3. The impact of infant exposure to HMOs containing fructose and sialic acid on brain development at age 6y using image-based measures of brain structure (anatomical MRI), function (resting state fMRI), blood flow (arterial spin labeling), myelination and tissue microstructure (diffusion tensor imaging) as well as cognitive outcomes.
4. The impact of breast feeding (at breast vs delivered via a bottle) and the changing HMO profile on eating in the absence of hunger at age 6y, and structural and functional differences in key areas of the brain involved with appetite regulation (frontal cortex, basal ganglia, hippocampus, hypothalamus).
5. The impact of the food environment and broader SDOH on subclinical markers of chronic disease and how these relationships may exacerbate the effects of poor nutrition and environmental toxins.

Exposures:

Ambient Air pollution: Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. Ambient air pollution will be measured by assigning PM2.5, NO2, and O3 exposures using hybrid model outputs developed by a team lead by Dr. Joel Schwartz (Harvard) over many years.

Near-Roadway Air Pollution (NRAP) : Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. NRAP is a complex mixture of particles and gases, including particulate matter, organic compounds, elemental carbon, and polycyclic aromatic hydrocarbons. In this study, NRAP exposure will be characterized using the CALINE4 air quality dispersion model that incorporate HERE (www.here.com) detailed roadway geometry, traffic volumes from Streetlytics™ by Citilabs, Inc. (www.citilabs.com), vehicle emission rates from CARB's EMFAC2017 model, and atmospheric transport and dispersion (using wind speed, wind direction, atmospheric stability, and height of the mixing layer).

Social Determinants of Health (SDH): Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. To capture SHD, we will use both individual-level data obtained from self-reported instruments as well context-level data obtained through geocoding and enrichment of participant data. For our geospatial analysis, using patient home addresses, we will assign (x,y) geographical coordinates using GIS software, which are spatially joined or associated with census tract polygons into which they fall. An 11-digit "Spatial GeoID" is appended to each point. The GeoID is then used to match the relevant data point to data from several state and national databases, including the US Census Bureau, the American Communities Survey, the US Department of Agriculture Economic Research Service, the Environmental Protection Agency, the California Environmental Health Screen, and the Healthy Places Index. PhenX SDOH core constructs will be used to capture sex, marital status, household composition, race/ethnicity, age, gender identity, birthplace, English proficiency, health literacy employment, food insecurity, and access to health services. Maternal Social Health will be assessed using validated measures from the Patient-Reported Outcomes Measurement Information System (PROMIS®). Two key domains relevant to diet and chronic disease will be measured: social isolation and social support. Acculturation to the US will be assessed by the Marin Short Acculturation Scale.

Child Dietary Intake: 24-hour dietary and physical activity recalls will be conducted in triplicate (1 weekend day and 2 weekdays). Dietary intake will be analyzed using the most current version of NDSR, which has been used extensively in the Goran lab and elsewhere for studies in Hispanics. Diet will be assessed at 6y of age.

Child Physical Activity: To assess physical activity, we will use the early years physical activity questionnaire (EY-PAQ). Mothers will be asked to report the frequency and duration of different Moderate to vigorous physical activity and sedentary time in which their child engaged during a typical week in the previous month. Physical activity will be assessed at 6y of age.

Child Sleep: To assess sleep, we selected the Children's Sleep Habits Questionnaire172, because it captures all domains of sleep health and was designed for children aged 2-10 years. Child sleep will be assessed at 6y of age.

Previously collected exposures: Early nutrition including breastfeeding versus formula feeding, breastfeeding exclusivity, breastfeeding duration, Breastmilk composition including HMO concentrations, and dietary intake were assessed at the timepoints 1 month (baseline), 6 months, 12 months, 24 months and 36 months. All previously collected variables can be found at the ClinicalTrials.gov pages for the original two cohorts from which this project stems: The Effects of Natural Sugars in Breast Milk on Healthy Infant Growth and Development (NCT04434027) and Improving the Eating Habits of Mother and Her Infant Via Sugar Reduction (MAMITA) (NCT03141346).

Eligibility criteria: All participants will be recruited from two existing cohorts: The Effects of Natural Sugars in Breast Milk on Healthy Infant Growth and Development (NCT04434027) and Improving the Eating Habits of Mother and Her Infant Via Sugar Reduction (MAMITA) (NCT03141346). Children and their mother's will be eligible for this study at child 6 years of age.

Initial Inclusion Criteria:

* Mother's normal weight or overweight/obesity prior to pregnancy
* Mother's who self identify as Hispanic
* Mother's who are first-time moms
* Mother's who have or have had singleton births
* Mothers must be able/willing to understand the procedures of the study, and must be able to read English or Spanish at a 5th grade level

Initial Exclusion Criteria:

* Physician diagnosis of a major medical illness (including type 1 or type 2 diabetes) or eating disorder in mothers
* Physical, mental, or cognitive issues that prevent participation
* Chronic use of any medication that may affect body weight or composition, insulin resistance, or lipid profiles
* Current smoking (more than 1 cigarette in the past week) or use of other recreational drugs
* Clinical diagnosis of gestational diabetes
* Pre-term/low birth weight infants, or diagnosis of any fetal abnormalities
* Mothers less than 18 years of age at the time of delivery will not be eligible as to avoid potential confounding from those subjects who might still be completing adolescent growth

Primary outcomes:
measure: Child weight
timeFrame: 6 years old
measure: Child height
timeFrame: 6 years old
measure: Child BMI percentile at 6y
timeFrame: 6 years old
measure: Child abdominal fat mass as measured by MRI
timeFrame: 6 years old
measure: Child Liver fat content as measured by MRI
timeFrame: 6 years old
measure: Child cognitive capacity
timeFrame: 6 years old
measure: Child Brain imaging - Anatomical MRI
timeFrame: 6 years old
measure: Child Brain imaging - Perfusion Imaging (ASL)
timeFrame: 6 years old
measure: Child Brain imaging - Resting-State Functional MRI (rs-fMRI)
timeFrame: 6 years old
measure: Child Brain imaging- Diffusion Tensor Imaging (DTI)
timeFrame: 6 years old
Secondary outcomes:
measure: Child feeding behavior
timeFrame: 6 years old
measure: Child behavior -Temperament
timeFrame: 6 years old
measure: Child glycemic control as measured by HbA1c
timeFrame: 6 years old
measure: Child glucose tolerance as measured by a continuous glucose monitor (CGM)
timeFrame: 6 years old
measure: Child fasting lipid profile
timeFrame: 6 years old
measure: Child PNPLA3 genotyping
timeFrame: 6 years old
measure: Child abdominal circumference
timeFrame: 6 years old
measure: Child skinfold thickness
timeFrame: 6 years old
measure: Child gut microbiome composition
timeFrame: 6 years old
measure: Child fecal metabolomics
timeFrame: 6 years old
measure: Child appetite regulation
timeFrame: 6 years old
measure: Child non-verbal and fluid intelligence
timeFrame: 6 years old
measure: Child mental and behavioral health- parent ratings
timeFrame: 6 years old
measure: Child executive function - parent ratings
timeFrame: 6 years old
measure: Maternal weight
timeFrame: Child 6 years old
measure: Maternal height
timeFrame: Child 6 years old
measure: Maternal BMI
timeFrame: Child 6 years old
measure: Maternal systolic and diastolic blood pressure at baseline
timeFrame: Child 6 years old
Other outcomes:
Locations:
city: Los Angeles
country: United States
facility: Children's Hospital Los Angeles
state: California
Study officials:
References: