Cited by 121Diabetes Management and ResearchDiabetes, Cardiovascular Risks, and LipoproteinsAdvanced Glycation End Products research

Diabetes mellitus correlates with increased biological age as indicated by clinical biomarkers

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Bahour, Nadine, Cortez, Briana, Pan, Hui, Shah, Hetal, Doria, Alessandro, Aguayo-Mazzucato, Cristina·2022·GeroScience

Abstract

Chronological age (CA) is determined by time of birth, whereas biological age (BA) is based on changes on a cellular level and strongly correlates with morbidity, mortality, and longevity. Type 2 diabetes (T2D) associates with increased morbidity and mortality; thus, we hypothesized that BA would be increased and calculated it from biomarkers collected at routine clinical visits. Deidentified data was obtained from three cohorts of patients (20–80 years old)—T2D, type 1 diabetes (T1D), and prediabetes—and compared to gender- and age-matched non-diabetics. Eight clinical biomarkers that correlated with CA in people without diabetes were used to calculate BA using the Klemera and Doubal method 1 (KDM1) and multiple linear regression (MLR). The phenotypic age (PhAge) formula was used with its predetermined biomarkers. BA of people with T2D was, on average, 12.02 years higher than people without diabetes (p < 0.0001), while BA in T1D was 16.32 years higher (p < 0.0001). Results were corroborated using MLR and PhAge. The biomarkers with the strongest correlation to increased BA in T2D using KDM were A1c (R2 = 0.23, p < 0.0001) and systolic blood pressure (R2 = 0.21, p < 0.0001). BMI had a positive correlation to BA in non-diabetes subjects but disappeared in those with diabetes. Mortality data using the ACCORD trial was used to validate our results and showed a significant correlation between higher BA and decreased survival. In conclusion, BA is increased in people with diabetes, irrespective of pathophysiology, and to a lesser extent in prediabetes.

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References 35 · Cited by 121

Authors
Bahour, N., Cortez, B., Pan, H., Shah, H., Doria, A., & Aguayo-Mazzucato, C.
Affiliations
  • Joslin Diabetes Center (US)
  • The University of Texas Rio Grande Valley (US)
Venue
GeroScience
Published
2021-11-12
Volume
44
Issue
1
Pages
415-427
ISSN
  • 2152-4041 (ISSN-L)
  • 2509-2715
  • 2509-2723
OpenAlex
W3211961416
Cited by
121
References
35
Citations by year
2026: 30 · 2025: 25 · 2024: 33 · 2023: 22 · 2022: 11
FWCI
12.49
Type
journal article
Language
en
Open access
Locations
  • GeroScience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion, cc-by)
Funders
  • Joslin Diabetes Center (Start up Fund)
  • Harvard Catalyst (UL1TR002541)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
Keywords
biological age, type 2 diabetes, type 1 diabetes, prediabetes, clinical biomarkers, phenotypic age, HbA1c, systolic blood pressure, body mass index, mortality, ACCORD trial, aging
MeSH terms
Adult, Aged, Aged, 80 and over, Diabetes Mellitus, Type 2, Humans, Longevity, Middle Aged, Biomarkers, Multivariate Analysis, Young Adult

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