Internal Deadline: November 12, 2021, 5pm PT
LOI: February 8, 2022
External Deadline: March 8, 2022
Award Type: Grant
Estimated Number of Awards: NIDDK intends to commit $1,400,000 in FY2023 to fund up to 2 awards.
Anticipated Award Amount: Application budgets are limited to $500,000 direct costs per year. Budgets should reflect the actual needs of the proposed project.
Who May Serve as PI: Standard NIH eligibility requirements.
Process for Limited Submissions
PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://orif.usc.edu/oor-portal/.
Materials to submit include:
- (1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
- (2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
The purpose of this Funding Opportunity Announcement (FOA) is to support innovative, discovery research studies to better characterize early-life risk factors and elucidate underlying causal mechanisms through which these risk factors contribute to the development of obesity during infancy and early childhood. Studies should aim to understand biological mechanisms that mediate behavioral and/or metabolic risk for obesity development in young children and how risk may be modified by other contributors such as psychosocial, contextual, and/or environmental factors. This FOA encourages multidisciplinary teams of scientists including, but not limited to those with expertise in basic, translational, clinical, and behavioral research.
Studies of particular interest may include but are not limited to the following:
- Studies that use systems biology approaches incorporating integrated multi-omics analyses (e.g., genomics, metagenomics, epigenomics, bulk and single cell transcriptomics, proteomics, metabolomics and the microbiome) along with longitudinal clinical and phenotypic assessments (e.g., neural imaging, parental and infant diet, stress) and/or data from electronic health records (EHR) to gain novel insights into physiological mechanisms affecting rapid growth, body composition, and development of obesity in early life.
- Studies to understand mechanisms by which the developing human gut microbiota affects energy balance, rapid growth, body composition and the development of obesity in early life. These studies may include the effects of the composition and activity of the gut microbiota on digestion and energy availability, metabolism, satiety, dietary responses and physical activity, and brain development.
- Studies that determine the mechanisms by which individual variation in human milk composition and infant feeding practices, including formula feeding cause rapid growth, changes in body composition, and the development of obesity in early life. These studies may include examining the effects of maternal diet or maternal metabolic dysfunction such as in diabetes and obesity on human milk composition and infant metabolism.
- Studies to determine underlying biobehavioral or integrative physiological mechanisms that lead to rapid growth and the development of obesity in early life. These studies might include appetitive and eating behaviors, temperament, sleep patterns/duration, and physical activity/sedentary behavior patterns or levels in offspring and their parents/caregivers.
- Studies to understand the mechanisms by which the intrauterine environment influenced by maternal metabolic state disruptions (e.g., obesity, dysglycemia) mediates offspring adiposity and obesity early in life. The mechanisms to be investigated might include epigenetics, the microbiome, inflammation, and oxidative stress.
- Studies to determine underlying processes and mechanisms through which cognition and/or specific facets of executive function such as self-regulation affect the development of obesity (i.e., Studies that aim to understand which aspects of self-regulation have a greater genetic component, and which aspects are modifiable via interventions in infancy and childhood. Studies that aim to understand the course of “normative” and atypical self-regulation development in key domains and their links to obesity risk. Examples of key domains include self-regulation of appetite, physical activity, sleep, and impulse control.).
- Studies to identify novel biomarkers that improve the accuracy of predicting risk for developing obesity in young children.
- Studies to determine the most sensitive timepoints of risk and resiliency for developing obesity with respect to various biobehavioral risk factors (such as appetite, temperament, self-regulation, diet, genetic variation, etc.), beginning as early as pregnancy or preconception and onward.
- Studies that examine resiliency and risk for developing obesity within high-risk groups (i.e., Studies that aim to understand why some infants and children and not others in the same high-risk study population develop rapid weight gain and obesity.).
Visit our Institutionally Limited Submission webpage for more updates and other announcements.