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Romero-Rosales JA, Aragones DG, Escribano-Serrano J, Borrachero MG, Doña AM, Macías López FJ, Santos Mata MA, Jiménez IN, Casamitjana Zamora MJ, Serrano H, Belmonte-Beitia J, Durán MR, Calvo GF. Integrated modeling of labile and glycated hemoglobin with glucose for enhanced diabetes detection and short-term monitoring. iScience 2024; 27:109369. [PMID: 38500833 PMCID: PMC10946329 DOI: 10.1016/j.isci.2024.109369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/16/2024] [Accepted: 02/26/2024] [Indexed: 03/20/2024] Open
Abstract
Metabolic biomarkers, particularly glycated hemoglobin and fasting plasma glucose, are pivotal in the diagnosis and control of diabetes mellitus. Despite their importance, they exhibit limitations in assessing short-term glucose variations. In this study, we propose labile hemoglobin as an additional biomarker, providing insightful perspectives into these fluctuations. By utilizing datasets from 40,652 retrospective general participants and conducting glucose tolerance tests on 60 prospective pediatric subjects, we explored the relationship between plasma glucose and labile hemoglobin. A mathematical model was developed to encapsulate short-term glucose kinetics in the pediatric group. Applying dimensionality reduction techniques, we successfully identified participant subclusters, facilitating the differentiation between diabetic and non-diabetic individuals. Intriguingly, by integrating labile hemoglobin measurements with plasma glucose values, we were able to predict the likelihood of diabetes in pediatric subjects, underscoring the potential of labile hemoglobin as a significant glycemic biomarker for diabetes research.
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Affiliation(s)
- José Antonio Romero-Rosales
- Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
| | - David G. Aragones
- Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
| | | | | | - Alfredo Michán Doña
- UGC Internal Medicine, University Hospital of Jerez and Department of Medicine, University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Universitario Puerta del Mar, Cádiz, Spain
| | | | | | | | | | - Hélia Serrano
- Department of Mathematics, Faculty of Chemical Sciences and Technologies, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Juan Belmonte-Beitia
- Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
| | - María Rosa Durán
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Universitario Puerta del Mar, Cádiz, Spain
- Department of Mathematics, University of Cádiz, Puerto Real, Cádiz, Spain
| | - Gabriel F. Calvo
- Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
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Mwita PS, Shaban N, Mbalawata IS, Mayige M. Mathematical modelling of root causes of hyperglycemia and hypoglycemia in a diabetes mellitus patient. SCIENTIFIC AFRICAN 2021. [DOI: 10.1016/j.sciaf.2021.e01042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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