ArticleScientific reports2022
Breath biomarkers of insulin resistance in pre-diabetic Hispanic adolescents with obesity.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Effect of TMEM18 rs7561317 on metabolome in context of obesity.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Artificial intelligence in prediabetes care: applications in screening, risk prediction, and lifestyle intervention.Frontiers in endocrinology · 2026Review
- Breathomics in Diabetes Management: A Noninvasive Approach for Precision Health Monitoring.Journal of diabetes research · 2026Review
- Applications of Artificial Intelligence and Machine Learning in Prediabetes: A Scoping Review.Journal of diabetes science and technology · 2025Review
- Chronically Increased Levels of Circulating Insulin Secondary to Insulin Resistance: A Silent Killer.Biomedicines · 2024Review
- Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches.AIMS public health · 2024Article
- Stem Cell Therapy for the Management of Type 1 Diabetes: Advances and Perspectives.Endocrine, metabolic & immune disorders drug targets · 2024Review
- Reassessing type 2 diabetes in adolescents and its management strategies based on insulin resistance.Frontiers in endocrinology · 2024Review
- Mask device as a new wearable sampler for breath analysis: what can we expect in the future?Analytical and bioanalytical chemistry · 2023Article
- Smelling the Disease: Diagnostic Potential of Breath Analysis.Molecular diagnosis & therapy · 2023Review
- 3D-printed mouthpiece adapter for sampling exhaled breath in medical applications.3D printing in medicine · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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