Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sep 19, 2018· SJC Craig, D Blankenberg, ACL Parodi, IM Paul, LL Birch, JS Savage, ME Marini, JL Stokes, A Nekrutenko, M Reimherr, F Chiaromonte, KD Makova · 0 min read
Abstract
Gut and oral microbiota perturbations have been observed in obese adults and adolescents; less is known about their influence on weight gain in young children. Here we analyzed the gut and oral microbiota of 226 two-year-olds with 16S rRNA gene sequencing. Weight and length were measured at seven time points and used to identify children with rapid infant weight gain (a strong risk factor for childhood obesity), and to derive growth curves with innovative Functional Data Analysis (FDA) techniques. We showed that growth curves were associated negatively with diversity, and positively with the Firmicutes-to-Bacteroidetes ratio, of the oral microbiota. We also demonstrated an association between the gut microbiota and child growth, even after controlling for the effect of diet on the microbiota. Lastly, we identified several bacterial genera that were associated with child growth patterns. These results suggest that by the age of two, the oral microbiota of children with rapid infant weight gain may have already begun to establish patterns often seen in obese adults. They also suggest that the gut microbiota at age two, while strongly influenced by diet, does not harbor obesity signatures many researchers identified in later life stages.
Type
Publication
Scientific Reports
publication
Sarah J. Carnahan Craig
Authors
Research Assistant Professor
Sarah is interested in human evolution with a specific emphasis on genetic variation within and between species, gene duplication, and the evolution of regulatory elements. She found that the application of knowledge from these genetic investigations to explain (or help explain) phenotypic observations in humans (especially related to reproduction and human health) to be particularly exciting. Her project in the Makova Lab was focused on childhood obesity.
Ian Paul
Authors
Ian Paul, MD, MSc, graduated from Penn State College of Medicine and completed his residency training at Duke University Medical Center in Durham, N.C. In addition to his responsibilities as a general pediatrician at Penn State Pediatrics and in the newborn nursery, Dr. Paul spends much of his time working on a variety of research projects and clinical trials that seek to improve health care for children and their families. His current research includes studies to prevent obesity and help breastfeeding newborns.
Anton Nekrutenko
Authors
Prof. Nekrutenko performed postdoctoral work at the University of Chicago where he found his interest in computational genomics. After moving to the Pennsylvania State University as an Assistant Professor, he and his collaborators developed the Galaxy platform for analysis of biological data. He is now a professor of biochemistry and molecular biology and founding member of galaxyproject.org.
Matthew Reimherr
Authors
Matthew’s research interests include functional data analysis, longitudinal data analysis, and data privacy with applications to Omics data.
Francesca Chiaromonte
Authors
Francesca is a statistician developing methods for the analysis of large, high-dimensional and complex data, and applying such methods in contemporary “Omics” sciences and other scientific fields – including Meteorology and Economics.
Kateryna Makova, Ph.D.
Authors
Professor
Kateryna is interested in genomics, evolution, and human genetics. Her lab studies mutations using both computational and experimental approaches. Additional topics of interest include sex chromosome evolution and genomics of childhood obesity.