| Title: | Breath biomarkers of insulin resistance in pre-diabetic Hispanic adolescents with obesity |
| Author(s): | Khan MS; Cuda S; Karere GM; Cox LA; Bishop AC; |
| Address: | "Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. Health and Weight Management Clinic, Children's Hospital of San Antonio, San Antonio, TX, 78207, USA. Baylor College of Medicine, Houston, TX, 77030, USA. Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. abishop@wakehealth.edu. Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA. abishop@wakehealth.edu" |
| DOI: | 10.1038/s41598-021-04072-3 |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "Insulin resistance (IR) affects a quarter of the world's adult population and is a major factor in the pathogenesis of cardio-metabolic disease. In this pilot study, we implemented a non-invasive breathomics approach, combined with random forest machine learning, to investigate metabolic markers from obese pre-diabetic Hispanic adolescents as indicators of abnormal metabolic regulation. Using the ReCIVA breathalyzer device for breath collection, we have identified a signature of 10 breath metabolites (breath-IR model), which correlates with Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (R = 0.95, p < 0.001). A strong correlation was also observed between the breath-IR model and the blood glycemic profile (fasting insulin R = 0.91, p < 0.001 and fasting glucose R = 0.80, p < 0.001). Among tentatively identified metabolites, limonene, undecane, and 2,7-dimethyl-undecane, significantly cluster individuals based on HOMA-IR (p = 0.003, p = 0.002, and p < 0.001, respectively). Our breath-IR model differentiates between adolescents with and without IR with an AUC-ROC curve of 0.87, after cross-validation. Identification of a breath signature indicative of IR shows utility of exhaled breath metabolomics for assessing systemic metabolic dysregulation. A simple and non-invasive breath-based test has potential as a diagnostic tool for monitoring IR progression, allowing for earlier detection of IR and implementation of early interventions to prevent onset of type 2 diabetes mellitus" |
| Keywords: | Adolescent Age Factors Biomarkers/metabolism *Breath Tests Cross-Sectional Studies Feasibility Studies Female Health Status *Hispanic or Latino Humans Insulin Resistance/*ethnology Machine Learning Male *Metabolome *Metabolomics Pediatric Obesity/diagnosi; |
| Notes: | "MedlineKhan, Mohammad S Cuda, Suzanne Karere, Genesio M Cox, Laura A Bishop, Andrew C eng Research Support, Non-U.S. Gov't England 2022/01/12 Sci Rep. 2022 Jan 10; 12(1):339. doi: 10.1038/s41598-021-04072-3" |
