Cited by 134Diabetes Management and ResearchAdvanced Glycation End Products researchClinical Laboratory Practices and Quality Control

Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring

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Malka, Roy, Nathan, David M., Higgins, John M.·2016·Science Translational Medicine

Abstract

On the basis of first principles, a model of hemoglobin glycation yields a personalized, more accurate estimate of average glucose for diabetics.

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Registry

Crossref · 10.1126/scitranslmed.aaf9304

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  • One study has suggested that differences in mean red cell half-life may explain some of the interindividual variability in the relationship between measured average glucose and HbA1c levels.

    “One study has suggested that differences in mean red cell half-life, which may range from approximately 48 to 68 days (mean 58 days and 1 SD of 4.5 to 6.5 days), may explain some of the interindividual variability in the relationship between measured average glucose and HbA 1c levels (343).”

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Research works printed but not linked: 2

  1. [40]Higgins JM Mahadevan L Physiological and pathological population dynamics of circulating human red blood cells Proc Natl Acad Sci U S A 107 20587 11 2010 21059904 PMC2996693
  2. [44]Higgins PJ Bunn HF Kinetic analysis of the nonenzymatic glycosylation of hemoglobin Journal of Biological Chemistry 256 5204 1981 7228877

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Authors
Malka, R., Nathan, D. M., & Higgins, J. M.
Affiliations
Harvard University (US)
Corresponding author
Higgins, John M.
Venue
Science Translational Medicine
Published
2016-10-05
Volume
8
Issue
359
Pages
359ra130-359ra130
ISSN
  • 1946-6234 (ISSN-L)
  • 1946-6242
OpenAlex
W2529155476
Cited by
134
References
49
Citations by year
2026: 13 · 2025: 14 · 2024: 24 · 2023: 10 · 2022: 11 · 2021: 10 · 2020: 19 · 2019: 12 · 2018: 9 · 2017: 11
FWCI
10.71
Type
journal article
Language
en
Open access
Locations
  • Science Translational Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • NIH Director’s New Innovator Award (DP2DK098087)
  • Abbott Diagnostics
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
HbA1c, hemoglobin glycation, diabetes monitoring, mechanistic mathematical model, personalized medicine
MeSH terms
Blood Glucose, Diabetes Mellitus, Erythrocytes, Glycated Hemoglobin, Humans, Kinetics, Models, Biological, Blood Glucose Self-Monitoring, Precision Medicine

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