Age-Related Changes in Glucose Metabolism, Hyperglycemia, and Cardiovascular Risk

The Hallmarks of Aging

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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

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Effects of Intensive Glucose Lowering in Type 2 Diabetes

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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

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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.

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Influence of age and sex on longitudinal metabolic profiles and body weight trajectories in the UK Biobank

Mäkinen, V., & Ala‐Korpela, M. (2024) · International Journal of Epidemiology · doi:10.1093/ije/dyae055 · Cited by 19

Diagnosing Arterial Stiffness in Pregnancy and Its Implications in the Cardio-Renal-Metabolic Chain

Turi, V., Luca, C. T., Gaiță, D. I., Iurciuc, S., Petre, I., Iurciuc, M., Horvath, T., & Cozma, D. C. (2022) · Diagnostics · doi:10.3390/diagnostics12092221 · Cited by 20

Metabolic syndrome among people living with HIV on antiretroviral therapy in Mwanza, Tanzania

MALINDISA, E. K., Balandya, E., Njelekela, M. A., Kidenya, B. R., Francis, F. T., Mmbaga, B. T., Dika, H., Lyamuya, E., Sunguya, B. F., Bartlett, J. A., et al. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01340-3 · Cited by 20

The Relationship between Renin–Angiotensin–Aldosterone System (RAAS) Activity, Osteoporosis and Estrogen Deficiency in Type 2 Diabetes

Mkhize, B. C., Mosili, P., Ngubane, P. S., Sibiya, N. H., & Khathi, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241511963 · Cited by 22

Association of Early Sports Practice with Cardiovascular Risk Factors in Community-Dwelling Adults: A Retrospective Epidemiological Study

Silva, G. C. R., Tebar, W. R., Saraiva, B. T. C., Farah, B. Q., Vanderlei, L. C. M., Ferrari, G., & Christófaro, D. G. D. (2023) · Sports Medicine - Open · doi:10.1186/s40798-023-00562-y · Cited by 19

Dietary Methionine Restriction Improves Gastrocnemius Muscle Glucose Metabolism through Improved Insulin Secretion and H19/IRS-1/Akt Pathway in Middle-Aged Mice.

Feng, C., Jiang, Y.-G., Wu, G., Shi, Y.-H., Ge, Y.-T., Li, B.-W., Cheng, X.-R., Tang, X., Zhu, J., & Le, G. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c08373 · Cited by 17

Angiotensin-(1-7) Improves Integrated Cardiometabolic Function in Aged Mice

Miller, A. J., Bingaman, S. S., Mehay, D., Medina, D., & Arnold, A. C. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21145131 · Cited by 18

Aging differentially impacts vasodilation and angiogenesis in arteries from the white and brown adipose tissues

Islam, M. T., Henson, G. D., Machin, D. R., Bramwell, R. C., Donato, A. J., & Lesniewski, L. A. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.111126 · Cited by 18

Impact of Advanced Age on the Incidence of Major Adverse Cardiovascular Events in Patients with Type 2 Diabetes Mellitus and Stable Coronary Artery Disease in a Real-World Setting in Spain

González‐Juanatey, C., Anguita-Sánchez, M. P., Barrios, V., Nuñez-Gil, I. J., Gómez‐Doblas, J. J., García–Moll, X., Gormaz, C. L., Rollán-Gómez, M. J., Peral-Disdier, V., Martínez‐Dolz, L., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12165218 · Cited by 20

Effects of Exercise Combined with a Healthy Diet or Calanus finmarchicus Oil Supplementation on Body Composition and Metabolic Markers—A Pilot Study

Wasserfurth, P., Nebl, J., Schuchardt, J. P., Müller, M., Boßlau, T. K., Krüger, K., & Hahn, A. (2020) · Nutrients · doi:10.3390/nu12072139 · Cited by 20

The association of circulating miR-191 and miR-375 expression levels with markers of insulin resistance in overweight children: an exploratory analysis of the I.Family Study

Iacomino, G., Lauria, F., Russo, P., Venezia, A., Iannaccone, N., Marena, P., Ahrens, W., Henauw, S. D., Molnár, D., Eiben, G., et al. (2021) · Genes & Nutrition · doi:10.1186/s12263-021-00689-1 · Cited by 17

Hyperglycemia Negatively Affects IPSC-Derived Myoblast Proliferation and Skeletal Muscle Regeneration and Function

Badu-Mensah, A., Valinski, P., Parsaud, H., Hickman, J. J., & Guo, X. (2022) · Cells · doi:10.3390/cells11223674 · Cited by 17

Associations of continuous glucose monitor derived time in range and glycaemic variability with diet lifestyle and demographics

Bermingham, K. M., Smith, H., Duncan, E. L., Gonzalez, J. T., Valdes, A. M., Franks, P. W., Delahanty, L. M., Dashti, H. S., Davies, R., Hadjigeorgiou, G. M., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70308-3 · Cited by 15

Liver-expressed antimicrobial peptide 2 elevation contributes to age-associated cognitive decline

Tian, J., Guo, L., Wang, T., Jia, K., Swerdlow, R. H., Zigman, J. M., & Du, H. (2023) · JCI Insight · doi:10.1172/jci.insight.166175 · Cited by 16

Regular exercise, alcohol consumption, and smoking interact with the polygenetic risk scores involved in insulin sensitivity and secretion for the risk of concurrent hyperglycemia, hypertension, and dyslipidemia

Zhou, J., & Park, S. (2021) · Nutrition · doi:10.1016/j.nut.2021.111422 · Cited by 16

The Effects of Aging on Male Mouse Pancreatic β-Cell Function Involve Multiple Events in the Regulation of Secretion: Influence of Insulin Sensitivity

Tudurí, E., Soriano, S., Almagro, L., García‐Heredia, A., Rafacho, A., Alonso‐Magdalena, P., Nadal, Á., & Quesada, I. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab276 · Cited by 18

Glucose Targets Using Continuous Glucose Monitoring Metrics in Older Adults With Diabetes: Are We There Yet?

Toschi, E., O'Neal, D. N., Munshi, M. N., & Jenkins, A. J. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241247568 · Cited by 16

Cost-Effectiveness Analysis of Type 2 Diabetes Mellitus (T2DM) Treatment in Patients with Complications of Kidney and Peripheral Vascular Diseases in Indonesia

Priyadi, A., Permana, H., Muhtadi, A., Sumiwi, S. A., Sinuraya, R. K., & Suwantika, A. A. (2021) · Healthcare · doi:10.3390/healthcare9020211 · Cited by 16

Sirtuin 1 and Hormonal Regulations in Aging

Keremidarska‐Markova, M., Sazdova, I., Mladenov, M. I., Pilicheva, B., Zagorchev, P. I., & Gagov, H. (2024) · Applied Sciences · doi:10.3390/app142412051 · Cited by 18

Distinct Roles of Common Genetic Variants and Their Contributions to Diabetes: MODY and Uncontrolled T2DM

Bazzazzadehgan, S., Shariat‐Madar, Z., & Mahdi, F. (2025) · Biomolecules · doi:10.3390/biom15030414 · Cited by 19

A Ten-Day Grape Seed Procyanidin Treatment Prevents Certain Ageing Processes in Female Rats over the Long Term

Grau‐Bové, C., Sierra‐Cruz, M., Miguéns‐Gómez, A., Rodríguez‐Gallego, E., Beltrán‐Debón, R., Blay, M., Terra, X., Pinent, M., & Ardèvol, A. (2020) · Nutrients · doi:10.3390/nu12123647 · Cited by 18

Smoking Cessation, Weight Gain, and Risk for Type 2 Diabetes: A Prospective Study

Wu, L., Wang, X., Dong, J.-Y., Zhao, Y.-T., & Lou, H. (2022) · International Journal of Public Health · doi:10.3389/ijph.2022.1604654 · Cited by 17

Aging and metabolic dysfunction-associated steatotic liver disease: a bidirectional relationship

Chen, C., & Wang, L. (2025) · Frontiers of Medicine · doi:10.1007/s11684-025-1133-7 · Cited by 15

A researcher's guide to studying sex differences in immune aging

Baker, C., Kim, M., & Benayoun, B. A. (2025) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2025.01.005 · Cited by 14

Pancreatic β cell derived extracellular vesicles containing surface preproinsulin are involved in glucose stimulated insulin secretion

Ghosh, P., Liu, Q., Chen, Q., Zhu, M., & Egan, J. M. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.122460 · Cited by 13

Colonic L-cell impairment in aged subjects with type 2 diabetes leads to diminished GLP-1 production

Wang, Q., Zhang, W., Zhao, Y., Chen, H.-L., Liu, Q., Wang, Z., Zeng, L.-T., Li, J., Chen, S., Wei, L., et al. (2023) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2023.102907 · Cited by 13

Influence of diabetes mellitus on the diagnostic performance of machine learning–based coronary CT angiography–derived fractional flow reserve: a multicenter study

Xue, Y., Zheng, M. W., Hou, Y., Zhou, F., Li, J. H., Wang, Y. N., Liu, C. Y., Zhou, C. S., Zhang, J. Y., Yu, M. M., et al. (2022) · European Radiology · doi:10.1007/s00330-021-08468-7 · Cited by 13

Introduction to Cardiovascular Aging Compendium

Marian, A. J., Bhatnagar, A., Bolli, R., & Belmonte, J. C. I. (2018) · Circulation Research · doi:10.1161/circresaha.118.313940 · Cited by 13

Interplay between aging and metabolic diseases: from molecular mechanisms to therapeutic horizons

Zhong, D., Sun, Y., Zhao, L., Hu, Z., Li, G., Li, H., & Xie, Z. (2025) · Medical Review · doi:10.1515/mr-2025-0047 · Cited by 16

Higher bone remodeling biomarkers are related to a higher muscle function in older adults: Effects of acute exercise

Smith, C., Hiam, D., Tacey, A., Lin, X., Woessner, M. N., Zarekookandeh, N., GARNHAM, A. P., Chubb, P., Lewis, J. R., Sim, M., et al. (2022) · Bone · doi:10.1016/j.bone.2022.116545 · Cited by 12

Modeling the innate inflammatory cGAS/STING pathway: sexually dimorphic effects on microglia and cognition in obesity and prediabetes

Elzinga, S. E., Koubek, E. J., Hayes, J. M., Carter, A., Mendelson, F. E., Webber‐Davis, I. F., Lentz, S. I., & Feldman, E. L. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1167688 · Cited by 12

Preventing obesity, insulin resistance and type 2 diabetes by targeting MT1-MMP

Asthana, P., & Wong, H. L. X. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2024.167081 · Cited by 13

Divergence in prediabetes guidelines – A global perspective

Pragati, G., & Pozzilli, P. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112142 · Cited by 12

Agomelatine might be more appropriate for elderly, depressed, type 2 diabetes mellitus patients than paroxetine/fluoxetine

Liang, Z., Jia, Y., Zhao, L., Zhu, R., He, X., Tong, B., Yang, F., Hao, L., Cui, P., & Yuan, J. (2021) · Aging · doi:10.18632/aging.203586 · Cited by 12

Differential Role of Type 2 Diabetes as a Risk Factor for Tuberculosis in the Elderly versus Younger Adults

Restrepo, B. I., Scordo, J. M., Aguillón-Durán, G. P., Ayala, D., Quirino-Cerrillo, A. P., Loera-Salazar, R., Cruz-Gonzalez, A. M., de Caso, J. Á. G., Joya-Ayala, M., García-Oropesa, E. M., et al. (2022) · Pathogens · doi:10.3390/pathogens11121551 · Cited by 11

The effects of macronutrients metabolism on cellular and organismal aging

Nehme, J., Altulea, A., Gheorghe, T., & Demaria, M. (2023) · Biomedical Journal · doi:10.1016/j.bj.2023.02.005 · Cited by 13

Association Between the Magnitude of Glycemic Control and Body Weight Loss With GLP-1 Receptor Agonists and Risk of Atherosclerotic Cardiovascular Disease: A Systematic Review and Meta-analyses of Randomized Diabetes Cardiovascular Outcomes Trials

Gomes, D., Presume, J., Gonçalves, P. D. A., Almeida, M., Mendes, M., & Ferreira, J. (2024) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-024-07547-3 · Cited by 15

12,13-diHOME protects against the age-related decline in cardiovascular function via attenuation of CaMKII

Nirengi, S., Buck, B. H., Das, D., da Silva, C. P. V., Calyeca, J., Baer, L. A., Huang, H.-L., Vidal, P., Dewal, R. S., Pinckard, K. M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-62474-7 · Cited by 12

Central and peripheral neural circuits regulating glucose homeostasis

Espinoza, D., Seibold, F., & Stanley, S. A. (2025) · npj Biomedical Innovations. · doi:10.1038/s44385-025-00036-8 · Cited by 13

Association between different cutoff points for objectively measured moderate-to-vigorous physical activity and cardiometabolic markers in older adults

dos Santos, C. E. S., d’Orsi, E., & Rech, C. R. (2020) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2020.104238 · Cited by 10

Carboxyl terminus of HSP70‐interacting protein attenuates advanced glycation end products‐induced cardiac injuries by promoting NFκB proteasomal degradation

Lin, K., Ali, A., Kuo, C., Yang, P., Velmurugan, B. K., Padma, V. V., Lo, J., Huang, C., & Kuo, W. (2021) · Journal of Cellular Physiology · doi:10.1002/jcp.30660 · Cited by 11

Comparison of therapeutic efficacy and safety of sitagliptin, dapagliflozin, or lobeglitazone adjunct therapy in patients with type 2 diabetes mellitus inadequately controlled on sulfonylurea and metformin: Third agent study

Hong, J. H., Moon, J. S., Seong, K., & Lim, S. K. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110872 · Cited by 11

Loss of Pla2r1 decreases cellular senescence and age‐related alterations caused by aging and Western diets

Massemin, A., Goehrig, D., Flaman, J., Jaber, S., Griveau, A., Djebali, S., Marcos, É., Payen, L. F., Marvel, J., Parent, R., et al. (2023) · Aging Cell · doi:10.1111/acel.13971 · Cited by 10

Comparative Effects of Co-Ingesting Whey Protein and Glucose Alone and Combined on Blood Glucose, Plasma Insulin and Glucagon Concentrations in Younger and Older Men

Oberoi, A., Giezenaar, C., Rigda, R. S., Lange, K. M., Horowitz, M., Jones, K. L., Chapman, I., & Soenen, S. (2022) · Nutrients · doi:10.3390/nu14153111 · Cited by 11

Young Adults with Major Depression Show Altered Microbiome

Chen, M., Wang, P., Xie, X., Nie, Z., Xu, S., Zhang, N., Wang, W. J., Yao, L., & Liu, Z. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2023.05.002 · Cited by 13

Relationship between key continuous glucose monitoring-derived metrics and specific cognitive domains in patients with type 2 diabetes mellitus

Dong, S., Wang, L., Zhao, C., Zhang, R., Gao, Z., Jiang, L., Guo, Y., Zhou, H., & Xu, S. (2023) · BMC Neurology · doi:10.1186/s12883-023-03242-2 · Cited by 11

Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer

Lakhani, A., Kang, D. H., Kang, Y. E., & Park, J. O. (2023) · Endocrinology and Metabolism · doi:10.3803/enm.2023.1814 · Cited by 11

The Metabolic Syndrome: Emerging Novel Insights Regarding the Relationship between the Homeostasis Model Assessment of Insulin Resistance and other Key Predictive Markers in Young Adults of Western Algeria

Belhayara, M. I., Mellouk, Z., Hamdaoui, M. S., Bachaoui, M., Khéroua, O., & Malaisse, W. J. (2020) · Nutrients · doi:10.3390/nu12030727 · Cited by 11

A review of research on the intersection between breast cancer and cardiovascular research in the Women’s Health Initiative (WHI)

Raychaudhuri, S., Dieli-Conwright, C. M., Cheng, R. K.-H., Barac, A., Reding, K. W., Vasbinder, A. L., Cook, K. L., Nair, V., Desai, P. M., & Simon, M. S. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2022.1039246 · Cited by 11

Multi-Omics Analysis Reveals Age-Related Microbial and Metabolite Alterations in Non-Human Primates

Chen, X., Liu, Y., Pu, J., Gui, S., Wang, D., Zhong, X., Tao, W., Chen, X., Chen, W., Chen, Y., et al. (2023) · Microorganisms · doi:10.3390/microorganisms11102406 · Cited by 10

An advanced IoT-based non-invasive in vivo blood glucose estimation exploiting photoacoustic spectroscopy with SDNN architecture

V, P., Hussain, S. A., Singha, A. K., Jana, B., Mandal, P., & Sanki, P. K. (2025) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2025.116391 · Cited by 10

One-hour plasma glucose as a long-term predictor of cardiovascular events and all-cause mortality in a Chinese older male population without diabetes: A 20-year retrospective and prospective study

Rong, L., Cheng, X., Yang, Z., Gong, Y., Li, C., Yan, S., & Sun, B. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.947292 · Cited by 11

Selective transcriptomic dysregulation of metabolic pathways in liver and retina by short- and long-term dietary hyperglycemia

Mondal, A. K., Brock, D. C., Rowan, S., Yang, Z., Rojulpote, K. V., Smith, K., Francisco, S. G., Bejarano, E., English, M. A., Deik, A., et al. (2024) · iScience · doi:10.1016/j.isci.2024.108979 · Cited by 10

Polyphenols mediated attenuation of diabetes associated cardiovascular complications: A comprehensive review

Kour, N., Bhagat, G., Singh, S., Bhatti, S. S., Arora, S., Singh, B., & Bhatia, A. (2023) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-023-01326-x · Cited by 9

The global burden of colorectal cancer attributable to high body-mass index in 204 countries and territories: findings from 1990 to 2021 and predictions to 2035

Jin, X., Dong, D., Xu, Z., & Sun, M. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1473851 · Cited by 9

The predictive value of estimated glucose disposal rate for all-cause and cardiovascular mortality in the US non-diabetic population aged ≥60 years: A population-based cohort study

Zhu, B., Cao, C., Liu, W., Liu, Y., Luo, Y., & Peng, D. (2024) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2024.103182 · Cited by 9

Exercise Mimetics in Aging: Suggestions from a Systematic Review

Giacomello, E., Nicoletti, C., Canato, M., & Toniolo, L. (2025) · Nutrients · doi:10.3390/nu17060969 · Cited by 10

Burden of colorectal cancer attributable to high body-mass index in 204 countries and territories, 1990–2021: Results from the Global Burden of Disease Study 2021

Zhang, Q., Feng, J., Xu, Z., Guo, Y., Zhu, B., & Qian, P. (2025) · Public Health · doi:10.1016/j.puhe.2025.02.040 · Cited by 10

Global, Regional, and National Burden of Cancer in the Elderly Population, 1990–2021: Analysis of Data From the Global Burden of Disease Study 2021

Zhu, X., Che, X., Yang, R., Bao, B., & Chu, G. (2025) · Med Research · doi:10.1002/mdr2.70031 · Cited by 9

What are the real associations of homeostasis model assessment (HOMA) with body mass index and age?

Horáková, D., Štěpánek, L., Štěpánek, L., Pastucha, D., Janoutová, J., Janout, V., Kron, V., Verner, M., & Martiník, D. (2022) · Endokrynologia Polska · doi:10.5603/ep.a2022.0031 · Cited by 9

Acarbose, an α-Glucosidase Inhibitor, Maintains Altered Redox Homeostasis During Aging by Targeting Glucose Metabolism in Rat Erythrocytes

Arya, J. K., Kumar, R., Singh, A. L., Srivastava, P., Yadawa, A. K., & Rizvi, S. I. (2022) · Rejuvenation Research · doi:10.1089/rej.2022.0032 · Cited by 9

Genome‐wide profiles of DNA damage represent highly accurate predictors of mammalian age

Cao, H., Deng, B., Song, T., Lian, J., Xia, L., Chu, X., Zhang, Y., Yang, F., Wang, C., Cai, Y., et al. (2024) · Aging Cell · doi:10.1111/acel.14122 · Cited by 8

Associations of serum androgens with coronary heart disease and interaction with age: The Henan Rural Cohort Study

Liu, P., Liu, X., Wei, D., Nie, L., Fan, K., Zhang, L., Wang, L., Liu, X., Hou, J., Yu, S., et al. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.08.025 · Cited by 9

Glucosamine supplementation attenuates progression of metabolic dysfunction-associated steatotic liver disease and related comorbidities

Ryu, T., Chang, Y. W., Yoo, J., Lee, S. H., Jeong, S. W., Kim, S. G., Kim, Y. S., Kim, H. S., Yang, K., & Jang, J. Y. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.02.012 · Cited by 8

Age, Sex, BMI, Meal Timing, and Glycemic Response to Meal Glycemic Load

Malvar, M. D. M. C., Lado‐Baleato, Ó., Ríos, A. C., Porca, C., Benítez-Calvo, A., Fernández‐Merino, C., Sánchez‐Castro, J., Wagner, R., Matabuena, M., & Gudé, F. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.33193 · Cited by 16

The Effect of Coffee Consumption on Blood Glucose: A Review

Alshawi, A. H. (2020) · Pakistan Journal of Nutrition · doi:10.3923/pjn.2020.420.429 · Cited by 9

Asian Best Practices for Care of Diabetes in Elderly (ABCDE)

Kalra, S., Dhar, M., Afsana, F., Aggarwal, P., Aye, T. T., Bantwal, G., Barua, M., Bhattacharya, S., Das, A. K., Das, S., et al. (2022) · The Review of Diabetic Studies · doi:10.1900/rds.2022.18.100 · Cited by 12

Machine Learning Prediction of Prediabetes in a Young Male Chinese Cohort with 5.8-Year Follow-Up

Liu, C.-H., Chang, C.-F., Chen, I.-C., Lin, F.-M., Tzou, S., Hsieh, C.-B., Chu, T.-W. D., & Pei, D. (2024) · Diagnostics · doi:10.3390/diagnostics14100979 · Cited by 9

Clustering of Elevated Blood Pressure, Elevated Blood Glucose, and Abdominal Obesity Among Adults in Dire Dawa: A Community-Based Cross-Sectional Study

Mengesha, M. M., Ayele, B. H., Beyene, A. S., & Roba, H. S. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s250594 · Cited by 8

New hypoglycaemic therapy in frail older people with diabetes mellitus-phenotypic status likely to be more important than functional status

Abdelhafiz, A. H., Emmerton, D., & Sinclair, A. J. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108438 · Cited by 8

Is long-bout sedentary behaviour associated with long-term glucose levels 3 months after acute ischaemic stroke? A prospective observational cohort study

Alme, K. N., Knapskog, A., Næss, H., Naik, M., Beyer, M. K., Ellekjær, H., English, C., Hansen, H. I., Kummeneje, C. S., Munthe‐Kaas, R., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-037475 · Cited by 8

Study of in vitro activity on glucose uptake of 3T3L1 cells, RIN5f cells, and glycemic index stimulation inhibitory effect of Abutilon indicum (L.) extract

Lavanya, L., Veeraraghavan, V. P., Srihari, R., & Prashantha, C. N. (2022) · Journal of Applied Biology & Biotechnology · doi:10.7324/jabb.2021.100118 · Cited by 7

Cigarette Smoking Increases the Risk of Type 2 Diabetes Mellitus in Patients with Non-Alcoholic Fatty Liver Disease: A Population-Based Cohort Study

Liu, C., Wu, Y., Duan, W., & Xu, W. (2022) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-1813-7435 · Cited by 8

Sesamol counteracts on metabolic disorders of middle-aged alimentary obese mice through regulating skeletal muscle glucose and lipid metabolism

Hu, M., Chen, J., Zhang, Q.-Q., Song, Z., Shaukat, H., & Qin, H. (2022) · Food & Nutrition Research · doi:10.29219/fnr.v66.8231 · Cited by 8

Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment

Úbl, M., Koutný, T., Cioppa, A. D., Falco, I. D., Tarantino, E., & Scafuri, U. (2022) · Sensors · doi:10.3390/s22239445 · Cited by 8

Toward Personalized Hemoglobin A1c Estimation for Type 2 Diabetes

Kim, N., Lee, D. Y., Seo, W., Kim, N. H., & Park, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3215004 · Cited by 10

The effects of combined aquatic exercise on physical performance and metabolic indices in overweight healthy older adults

(2023) · International Journal of Exercise Science · doi:10.70252/soqt4818 · Cited by 8

Short term e-bicycle riding results in favorable cardiometabolic shifts in moderately active adults

Alessio, H. M., Ballard, K. D., Reidy, P. T., Hayward, K. M., Bagg, A. M., Cooley, R. A., O’Connell, M. J., Montoye, A. H. K., & Timmerman, K. L. (2024) · European Journal of Applied Physiology · doi:10.1007/s00421-024-05418-1 · Cited by 9

Pathophysiological hallmarks in type 2 diabetes heterogeneity (review)

Datta, D., Kundu, R., Basu, R., & Chakrabarti, P. (2024) · Diabetology International · doi:10.1007/s13340-024-00783-w · Cited by 9

Cave adaptation favors aging resilience in the Mexican tetra

Cobham, A. E., Kenzior, A., Morales‐Sosa, P., Javier, J. E., Swanson, S., Wood, C., & Rohner, N. (2025) · npj Metabolic Health and Disease · doi:10.1038/s44324-025-00069-y · Cited by 9

Clinical proteomics in cardiovascular medicine: Current capabilities, limitations, and future directions

Singh, B., Karpov, O. A., & Mayr, M. (2026) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2026.120637 · Cited by 7

Long Working Hours and the Risk of Glucose Intolerance: A Cohort Study

Lee, Y., Seo, E., & Lee, W. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191811831 · Cited by 7

Therapeutic approaches for chronic hepatitis C: a concise review

Nawaz, A., Manzoor, A., Ahmed, S., Ahmed, N., Abbas, W., Mir, M. A., Bilal, M., Sheikh, A., Ahmad, S., Jeelani, I., et al. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1334160 · Cited by 8

The global burden of ischemic heart disease attributed to high fasting plasma glucose: Data from 1990 to 2019

Shen, N., Liu, J., Wang, Y., Qiu, Y., Li, D., Wang, Q., Chai, L., Chen, Y., Hu, H., & Li, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27065 · Cited by 7

Pregestational Prediabetes Induces Maternal Hypothalamic–Pituitary–Adrenal (HPA) Axis Dysregulation and Results in Adverse Foetal Outcomes

Ngema, M., Xulu, N. D., Khathi, A., & Ngubane, P. S. (2024) · International Journal of Molecular Sciences · doi:10.29086/10413/24637 · Cited by 9

Breast Tissue Biology Expands the Possibilities for Prevention of Age-Related Breast Cancers

Fresques, T., Zirbes, A., Shalabi, S., Samson, S., Preto, S., Stampfer, M. R., & LaBarge, M. A. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00174 · Cited by 7

The sodium‐glucose co‐transporter 2 inhibitor tofogliflozin suppresses atherosclerosis through glucose lowering in ApoE‐deficient mice with streptozotocin‐induced diabetes

Iwamoto, M., Kubota, T., Sakurai, Y., Wada, N., Shioda, S., Yamauchi, T., Kadowaki, T., & Kubota, N. (2022) · Pharmacology Research & Perspectives · doi:10.1002/prp2.971 · Cited by 6

An atlas of glucose uptake across the entire human body as measured by the total-body PET/CT scanner: a pilot study

Lu, W., Cheng, Z., Xie, X., Li, K., Duan, Y., Li, M., Ma, C., Liu, S., & Qiu, J. (2022) · Life Metabolism · doi:10.1093/lifemeta/loac030 · Cited by 8

Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring

Matabuena, M., Félix, P., Ditzhaus, M., Vidal, J. C., & Gudé, F. (2023) · The American Statistician · doi:10.1080/00031305.2023.2200512 · Cited by 7

Independent and joint associations of cardiorespiratory fitness and lower-limb muscle strength with cardiometabolic risk in older adults

Câmara, M., de Lima, K. C., Freire, Y. A., Souto, G. C., Macêdo, G. A. D., Silva, R. D. M., Cabral, L. L. P., Browne, R. A. V., Lemos, T. M. A. M., Waters, D. L., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292957 · Cited by 7

Patients with autoimmune liver disease have glucose disturbances that mechanistically differ from steatotic liver disease

Jensen, A. H., Ytting, H., Werge, M. P., Rashu, E. B., Hetland, L. E., Thing, M., Nabilou, P., Burisch, J. M., Bojsen-Møller, K. N., Junker, A. E., et al. (2024) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00047.2024 · Cited by 9

Efficacy of oral nicotinamide mononucleotide supplementation on glucose and lipid metabolism for adults: a systematic review with meta-analysis on randomized controlled trials

Zhang, J., Poon, E. T., & Wong, S. H. (2024) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2024.2387324 · Cited by 6

Prevalence of diabetes and its associated factors in Cape Verde: an analysis of the 2020 WHO STEPS survey on non-communicable diseases risk factors

Okyere, J., Ayebeng, C., & Dickson, K. S. (2024) · BMC Endocrine Disorders · doi:10.1186/s12902-024-01803-1 · Cited by 6

Effect of Creatine Monohydrate Supplementation on Macro- and Microvascular Endothelial Function in Older Adults: A Pilot Study

Clarke, H. E., Akhavan, N. S., Behl, T. A., Ormsbee, M. J., & Hickner, R. C. (2024) · Nutrients · doi:10.3390/nu17010058 · Cited by 6

Hyperglutaminolysis drives senescence and aging through arginine-mTORC1 axis activation

Chen, H., Huang, N., Xu, W., Yang, Y., Wang, F., Gong, H., Zhou, J., Tai, H., Zhao, T., Zhang, J., et al. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02576-w · Cited by 6

The difference between 2-hour post-challenge and fasting plasma glucose associates with the risk of cardiovascular disease in a normoglycemic population: the Tehran lipid and glucose study

Abdi, A., Kohansal, K., Khalili, D., Azizi, F., & Hadaegh, F. (2024) · Nutrition & Metabolism · doi:10.1186/s12986-024-00782-3 · Cited by 6

A simplified longitudinal model for the development of Type 2 Diabetes Mellitus

Gaetano, A. D., Nagy, I., Kiss, D. K., Romanovski, V. G., & Hardy, T. A. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2024.111822 · Cited by 6

A New Model of Chronic Kidney Disease, Metabolic Derangements, and Heart Failure with Preserved Ejection Fraction in Aging Swine

Chade, A., Tharp, D. L., Sitz, R., McCarthy, E. A., Shivam, K., Kazeminia, S., & Eirin, A. (2025) · American Journal of Nephrology · doi:10.1159/000543327 · Cited by 6

Biological age acceleration and interaction with genetic predisposition in the risk of type 2 diabetes and coronary artery disease

Yang, G., Du, X., Jiang, X., Wang, J., Shi, S., & Zhong, V. W. (2025) · GeroScience · doi:10.1007/s11357-025-01671-0 · Cited by 8

The burden of colorectal cancer attributable to high body mass index in China: findings from 1990 to 2021 and prediction to 2035

Wang, P., Zheng, Z., Wang, K., Gu, J., & Li, Y. (2025) · International Journal of Colorectal Disease · doi:10.1007/s00384-025-04877-y · Cited by 6

Obesity and Diabetes Mellitus as Risk Factors for Cardiovascular Disease in the Elderly

Ohnishi, H., & Saitoh, S. (2018) · Current topics in environmental health and preventive medicine · doi:10.1007/978-981-13-1762-0_7 · Cited by 5

Hyperglycemia, hypoglycemia and glycemic variability in the elderly: a fatal triad?

Monami, M., & Aleffi, S. (2016) · Monaldi Archives for Chest Disease · doi:10.4081/monaldi.2015.726 · Cited by 2

Diabetes and cardiovascular disease in older adults

Bilal, A., & Pratley, R. E. (2024) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15259 · Cited by 18

Diabetes in the Elderly

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Age and gender differences in risk factor burden, myocardial dysfunction and cardiovascular events in relation to glucose metabolism

Leósdóttir, M. (2012) · Lund University Publications (Lund University)