Branched chain amino acid metabolism and microbiome in adolescents with obesity during weight loss therapy
Jessica R. McCann, Chengxin Yang, Nathan A. Bihlmeyer, Runshi Tang, Tracy Truong, Wei Zhou, Jie An, Jayanth Jawahar, Olga Ilkayeva, Michael J. Muehlbauer, Zhengzheng Hu, Holly Kloos Dressman, Lisa Poppe, Joshua A. Granek, Jason W. Arnold, Lawrence A. David, Julia Oh, Pixu Shi, Pinar Gumus Balikcioglu, Svati H. Shah, Sarah C. Armstrong, Christopher B. Newgard, Patrick C. Seed, John F. Rawls
Jessica R. McCann, Chengxin Yang, Nathan A. Bihlmeyer, Runshi Tang, Tracy Truong, Wei Zhou, Jie An, Jayanth Jawahar, Olga Ilkayeva, Michael J. Muehlbauer, Zhengzheng Hu, Holly Kloos Dressman, Lisa Poppe, Joshua A. Granek, Jason W. Arnold, Lawrence A. David, Julia Oh, Pixu Shi, Pinar Gumus Balikcioglu, Svati H. Shah, Sarah C. Armstrong, Christopher B. Newgard, Patrick C. Seed, John F. Rawls
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Clinical Research and Public Health Clinical Research Metabolism Microbiology

Branched chain amino acid metabolism and microbiome in adolescents with obesity during weight loss therapy

Abstract

BACKGROUND Obesity and weight loss in adults have been associated with distinct metabolome and gut microbiome features, but the extent to which those associations apply to adolescent stages remain unclear.METHODS The Pediatric Obesity Microbiome and Metabolism Study (POMMS) enrolled 220 adolescents aged 10–18 with severe obesity (OB) and 67 individuals who were healthy weight controls (HWCs). Blood, stool, and clinical measures were collected at baseline and after a 6-month obesity intervention for the OB group. Metabolomic profiling in serum using targeted quantitative mass spectrometry and microbiome profiling in stool were performed, and those features were assessed for associations with BMI, insulin resistance, and inflammation. Fecal microbiome transplants (FMT) were performed on germ-free mice using samples from both groups to assess effects on weight gain and metabolic pathways.RESULTS Adolescents with OB exhibited higher serum branched-chain amino acid (BCAA) but lower branched-chain ketoacid (BCKA) levels compared with HWC. This pattern was sex- and age-dependent and differed from adults with obesity who show elevated levels of both BCAA and BCKA. Longitudinal analysis identified metabolic and microbial features correlated with changes in health measures during the intervention. The fecal microbiomes of adolescents with OB and HWC had similar diversity but differed in membership and functional potential. FMT from both OB and HWC donors had similar effects on mouse body weight, but specific taxa were linked to weight gain in recipients of FMT.CONCLUSION Adolescents with OB have unique metabolomic adaptations and microbiome signatures compared with their HWC counterparts and adults with OB.TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03139877 (Observational Study) and NCT02959034 (Repository).FUNDING SUPPORT American Heart Association Grants: 17SFRN33670990, 20PRE35180195; National Institute of Diabetes and Digestive and Kidney Diseases Grant: R24-DK110492.

Authors

Jessica R. McCann, Chengxin Yang, Nathan A. Bihlmeyer, Runshi Tang, Tracy Truong, Wei Zhou, Jie An, Jayanth Jawahar, Olga Ilkayeva, Michael J. Muehlbauer, Zhengzheng Hu, Holly Kloos Dressman, Lisa Poppe, Joshua A. Granek, Jason W. Arnold, Lawrence A. David, Julia Oh, Pixu Shi, Pinar Gumus Balikcioglu, Svati H. Shah, Sarah C. Armstrong, Christopher B. Newgard, Patrick C. Seed, John F. Rawls

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Figure 1

Significant metabolic changes are associated with clinical measures of obesity in adolescents.

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Significant metabolic changes are associated with clinical measures of o...
(A) POMMS study overview depicting the inclusion criteria for both the participants in the healthy weight control (HWC) and obesity (OB) groups. (B). Flow diagram depicting sample sets available at every timepoint of the observational trial. (C–F). Linear regression analysis adjusted for age, race, and sex of participant. Values with a False Discovery Rate (FDR) of < 0.1 are labeled as triangles, those with FDR < 0.2 are labeled as squares. See Statistics description in Methods for details. (C) Targeted serum metabolites associated with %95th BMI, (D) Homeostatic Insulin Resistance score (HOMA-IR), (E) Hemoglobin A1c (HbA1c), or (F) C-Reactive Protein (CRP), at baseline. For C–F, metabolites above the dotted line are considered nominally significantly associated with the noted clinical measure. Higher levels of metabolites in the right upper quadrant are significantly associated with higher levels of the clinical measure. In comparison, higher levels of metabolites in the left upper quadrant are significantly associated with lower levels of the clinical measure. %95th BMI is defined as the percent of the BMI above the 95th percentile. Diagram in A was created in BioRender.