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Age-Related Changes in Glucose Metabolism, Hyperglycemia, and Cardiovascular Risk
Open accessAbstract
Aging and diabetes mellitus are 2 well-known risk factors for cardiovascular disease (CVD). During the past 50 years, there has been an dramatic increase in life expectancy with a simultaneous increase in the prevalence of diabetes mellitus in the older population. This large number of older individuals with diabetes mellitus is problematic given that CVD risk associated with aging and diabetes mellitus. In this review, we summarize epidemiological data relating to diabetes mellitus and CVD, with an emphasis on the aging population. We then present data on hyperglycemia as a risk factor for CVD and review the current knowledge of age-related changes in glucose metabolism. Next, we review the role of obesity in the pathogenesis of age-related glucose dysregulation, followed by a summary of the results from major randomized controlled trials that focus on cardiovascular risk reduction through glycemic control, with a special emphasis on older adults. We then conclude with our proposed model of aging that body composition changes and insulin resistance link possible dysregulation of physiological pathways leading to obesity and diabetes mellitus—both forms of accelerated aging—and risks for CVD.
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“Many factors participate in the metabolic dysregulation that develops with increasing age, and changes in body composition make an important contribution (100).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [100]
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López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,379
2013 ACCF/AHA Guideline for the Management of Heart Failure
Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Drazner, M. H., Fonarow, G. C., Geraci, S. A., Horwich, T., Januzzi, J. L., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.019 · Cited by 12,536
Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes
Zinman, B., Wanner, C., Lachin, J. M., Fitchett, D., Bluhmki, E., Hantel, S., Mattheus, M., Devins, T., Johansen, O. E., Woerle, H. J., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504720 · Cited by 12,315
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Effects of Intensive Glucose Lowering in Type 2 Diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802743 · Cited by 7,888
Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes
Neal, B., Perkovic, V., Mahaffey, K. W., de Zeeuw, D., Fulcher, G., Erondu, N., Shaw, W., Law, G., Desai, M., & Matthews, D. R. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1611925 · Cited by 7,830
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751
Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes
Marso, S. P., Daniels, G. H., Brown-Frandsen, K., Kristensen, P., Mann, J. F. E., Nauck, M. A., Nissen, S. E., Pocock, S., Poulter, N. R., Ravn, L. S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1603827 · Cited by 7,629
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425
Research works printed but not linked: 4
- He, W, Goodkind, D, Kowal, P. An Aging World: 2015; International Population Reports. 2016. US Census Bureau, US Government Printing Office: Washington D.C.
- 10.1001/jama.1971.03190220020005 · DOI
- 10.1001/jama.1971.03190060017005 · DOI
- Knatterud, GL, Klimt, CR, Goldner, MG, Hawkins, BS, Weisenfeld, S, Kreines, K, Haddock, L. A study of the effects of hypoglycemic agents on vascular complications in patients with adult-onset diabetes.V. Evaluation of phenformin therapy. Diabetes. 1975;24:65–184.
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Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351
Islam, M. T., Tuday, E., Allen, S., Kim, J., Trott, D. W., Holland, W. L., Donato, A. J., & Lesniewski, L. A. (2023) · Aging Cell · doi:10.1111/acel.13767 · Cited by 313
Zhang, Y., Zhang, S., Li, B., Luo, Y., Gong, Y., Jin, X., Zhang, J., Zhou, Y., Zhuo, X., Wang, Z., et al. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvab114 · Cited by 279
Lima, J. E. B. F., Moreira, N. C. S., & Sakamoto-Hojo, E. T. (2022) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2021.503437 · Cited by 203
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Longo, M., Bellastella, G., Maiorino, M. I., Meier, J. J., Esposito, K., & Giugliano, D. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00045 · Cited by 204
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Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 164
Lechner, K., McKenzie, A. L., Kränkel, N., von Schacky, C., Worm, N., Nixdorff, U., Lechner, B., Scherr, J., Weingärtner, O., & Krauss, R. M. (2020) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2019.0115 · Cited by 148
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Zou, H., Yin, P., Liu, L., Liu, W., Zhang, Z., Yang, Y., Li, W., Zong, Q., & Yu, X. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00728 · Cited by 96
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Talukder, A., & Hossain, M. Z. (2020) · Scientific Reports · doi:10.1038/s41598-020-66084-9 · Cited by 102
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Self-citationChen, J., He, S., Fang, L., Wang, B., Bai, S., Xie, J., Zhou, C., Wang, W., & Xie, P. (2020) · Aging · doi:10.18632/aging.102775 · Cited by 82
Sirdah, M. M., & Reading, N. S. (2020) · Clinical Genetics · doi:10.1111/cge.13772 · Cited by 80
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Peng, W., Zhou, R., Sun, Z., Long, J.-W., & Gong, Y.-Q. (2022) · Aging and Disease · doi:10.14336/ad.2021.0928 · Cited by 73
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Kong, J., Xie, Y., Fan, R., Wang, Q., Luo, Y., & Dong, P. (2025) · European journal of medical research · doi:10.1186/s40001-025-02751-9 · Cited by 74
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Shu, T., Tang, M. X., He, B., Liu, X., Han, Y., Liu, C., José, P. A., Wang, H., Zhang, Q., & Zeng, C. (2024) · JMIR Public Health and Surveillance · doi:10.2196/46821 · Cited by 54
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Lechner, K., Lechner, B., Crispin, A., Schwarz, P. E. H., & von Bibra, H. (2021) · Scientific Reports · doi:10.1038/s41598-021-87266-z · Cited by 46
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Yi, S.-J., Xiong, Y.-W., Zhu, H.-L., Dai, L.-M., Cao, X.-L., Liu, W., Shi, X.-T., Zhou, G.-X., Liu, A.-Y., Zhao, L., et al. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146006 · Cited by 43
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Scott, J., Agarwala, A., Baker-Smith, C. M., Feinstein, M. J., Jakubowski, K., Kaar, J. L., Parekh, N., Patel, K. V., & Stephens, J. D. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.039239 · Cited by 48
Ma, Q., Li, B., Yang, L., Zhang, M., Feng, X., Li, Q., Liu, H., Gao, Y., Ma, W., Shi, R.-J., et al. (2022) · Disease Markers · doi:10.1155/2022/4524032 · Cited by 42
Satman, İ., Bayirlioglu, S., Okumuş, F., Erturk, N., Yemenici, M., CİNEMRE, S., Gülfidan, G., Arğa, K. Y., Merih, Y. D., İşsever, H., et al. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-022-00960-8 · Cited by 45
Blockade of the NLRP3 inflammasome improves metabolic health and lifespan in obese mice
Cañadas-Lozano, D., Marín‐Aguilar, F., Castejón‐Vega, B., Ryffel, B., Navarro-Pando, J. M., Ruı́z-Cabello, J., Alcocer‐Gómez, E., Bullón, P., & Cordero, M. D. (2020) · GeroScience · doi:10.1007/s11357-019-00151-6 · Cited by 40
Kumar, M., Orkaby, A. R., Tighe, C. A., Villareal, D. T., Billingsley, H., Nanna, M. G., Kwak, M. J., Rohant, N., Patel, S., Goyal, P., et al. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100560 · Cited by 46
Abe, M., Fujii, H., Funakoshi, S., Satoh, A., Kawazoe, M., Maeda, T., Tada, K., Yokota, S., Yamanokuchi, T., Yoshimura, C., et al. (2021) · Diabetes Therapy · doi:10.1007/s13300-021-01138-3 · Cited by 45
Marra, A., Bondesan, A., Caroli, D., Grugni, G., & Sartório, A. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01369-4 · Cited by 36
Shimony, S. O., Flamand, Y., Valtis, Y. K., Place, A. E., Silverman, L. B., Vrooman, L. M., Brunner, A. M., Sallan, S. E., Stone, R. M., Wadleigh, M., et al. (2023) · Blood Advances · doi:10.1182/bloodadvances.2023009976 · Cited by 36
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Self-citationGuo, M., Qiu, J., Shen, F., Wang, S., Yu, J., Zuo, H., Yao, J., Xu, S., Hu, T., Wang, D., et al. (2020) · Aging · doi:10.18632/aging.102932 · Cited by 36
The role of stem cell niche in intestinal aging
Pentinmikko, N., & Katajisto, P. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111330 · Cited by 39
Li, Y., Kračun, D., Dustin, C. M., Massry, M. E., Yuan, S. S., Goossen, C., DeVallance, E., Sahoo, S., Hilaire, C. S., Gurkar, A. U., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015666118 · Cited by 36
Jeong, J.-H., Han, J.-S., Jung, Y., Lee, S.-M., Park, S., Park, M., Shin, M.-G., Kim, N., Kang, M. S., Kim, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-35952-z · Cited by 38
Yang, Z., Chen, F., Zhang, Y., Ou, M., Tan, P., Xu, X., Li, Q., & Zhou, S. (2024) · MedComm · doi:10.1002/mco2.560 · Cited by 48
Kim, S.-W., Park, H., Jung, W., & Lim, K. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192114554 · Cited by 45
Gao, Z., Bravo, R., Rupert, J. E., Drunen, R. V., Yu, Y., Eckel‐Mahan, K. L., & Kolonin, M. G. (2024) · Aging Cell · doi:10.1111/acel.14138 · Cited by 35
Li, Z., He, B., Li, Y., Liu, B.-F., Zhang, G., Liu, S., Hu, Y., & Li, Y. (2025) · ACS Nano · doi:10.1021/acsnano.5c04337 · Cited by 36
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Fan, L., Zhang, C., Ai, L., Wang, L., Li, L., Fan, W., Li, R., He, L., Wu, C., & Huang, Y. (2020) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.112942 · Cited by 34
Kebbe, M., Sparks, J. R., Flanagan, E. W., & Redman, L. M. (2021) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2021.1922077 · Cited by 39
Ravikrishnan, A., Wijaya, I., Png, E., Chng, K. R., Ho, E. X. P., Ng, A. H. Q., Naim, A. N. M., Gounot, J.-S., Guan, S. P., Lee, J. H., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52097-9 · Cited by 39
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Böni‐Schnetzler, M., Méreau, H., Rachid, L., Wiedemann, S. J., Schulze, F., TRIMIGLIOZZI, K. A., Meier, D. T., & Donath, M. Y. (2021) · iScience · doi:10.1016/j.isci.2021.103250 · Cited by 35
Vitale, M., Costabile, G., Bergia, R. E., Hjorth, T., Campbell, W. W., Landberg, R., Riccardi, G., & Giacco, R. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.08.016 · Cited by 32
Chen, H., Li, G., Sun, A., Peng, D.-S., Zhang, W., & Yan, Y. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16081409 · Cited by 33
Ghanemi, A., Melouane, A., Yoshioka, M., & St‐Amand, J. (2022) · Metabolites · doi:10.3390/metabo12020125 · Cited by 31
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Mathis, B. J., Tanaka, K., & Hiramatsu, Y. (2022) · Medicina · doi:10.3390/medicina58091271 · Cited by 36
Tan, J. K., Lim, G. H., Salim, N. N. M., Chia, S. Y., Thumboo, J., & Bee, Y. M. (2023) · Clinical Epidemiology · doi:10.2147/clep.s391749 · Cited by 32
Zhang, L., Hao, M., Yao, L., Cheng, X., Wen, Q., Zhang, Z., Yu, J., Wang, J., Xing, D., Zheng, T., et al. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.145863 · Cited by 29
Travica, N., Ried, K., Hudson, I. L., Sali, A., Scholey, A. B., & Pipingas, A. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2020.00047 · Cited by 31
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T lymphocyte depletion ameliorates age-related metabolic impairments in mice
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van den Oord, C. L. J. D., Copeland, W., Zhao, M., Xie, L. Y., Åberg, K. A., & van den Oord, E. J. C. G. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01597-5 · Cited by 29
Unmasking BACE1 in aging and age-related diseases
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Metadata
- Authors
- Chia, C. W., Egan, J. M., & Ferrucci, L.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Ferrucci, Luigi
- Venue
- Circulation Research
- Published
- 2018-09-14
- Volume
- 123
- Issue
- 7
- Pages
- 886-904
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- PMC
- PMC6205735
- OpenAlex
- W2891409258
- Semantic Scholar
- 5a8e379d2aa3e6281c5204edc4fa23822ef37775
- Cited by
- 454
- References
- 208
- Citations by year
- 2026: 61 · 2025: 71 · 2024: 72 · 2023: 82 · 2022: 70 · 2021: 38 · 2020: 42 · 2019: 15 · 2018: 1
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (Z01AG000015)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- aging, glucose metabolism, hyperglycemia, cardiovascular risk, diabetes mellitus, older adults, obesity, insulin resistance, glycemic control, body composition, accelerated aging, cardiovascular disease
- MeSH terms
- Adipose Tissue, Age Factors, Aging, Animals, Blood Glucose, Cardiovascular Diseases, Health Status, Humans, Hyperglycemia, Insulin, Insulin Resistance, Models, Biological, Obesity, Prognosis, Risk Factors, Biomarkers, Prevalence, Risk Assessment, Adiposity
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