The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Mechanisms of the Age-Associated Deterioration in Glucose Tolerance
Open accessAbstract
Glucose tolerance decreases with age. For determining the cause of this decrease, 67 elderly and 21 young (70.1 ± 0.7 vs. 23.7 ± 0.8 years) participants ingested a mixed meal and received an intravenous injection of glucose. Fasting glucose and the glycemic response above basal were higher in the elderly than in the young participants after either meal ingestion (P < 0.001) or glucose injection (P < 0.01). Insulin action (Si), measured with the meal and intravenous glucose tolerance test models, was highly correlated (r = 0.72; P < 0.001) and lower (P ≤ 0.002) in the elderly than in the young participants. However, when adjusted for differences in percentage body fat and visceral fat, Si no longer differed between groups. When considered in light of the degree of insulin resistance, all indexes of insulin secretion were lower (P < 0.01) in the elderly participants, indicating impaired β-cell function. Hepatic insulin clearance was increased (P < 0.002), whereas total insulin clearance was decreased (P < 0.002) in the elderly subjects. Multivariate analysis (r = 0.70; P < 0.001) indicated that indexes of insulin action (Si) and secretion (Phitotal) but not age, peak oxygen uptake, fasting glucose, degree of fatness, or hepatic insulin clearance predicted the postprandial glycemic response. We conclude that the deterioration in glucose tolerance that occurs in healthy elderly subjects is due to a decrease in both insulin secretion and action with the severity of the defect in insulin action being explained by the degree of fatness rather than age per se.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Furthermore, use of the meal minimal model in conjunction with the triple tracer method permits robust model assessments of indices of insulin action on the periphery (SI) and on the liver (SIL), glucose effectiveness (SG), insulin secretion, and β-cell function (disposition index).[49][50][51][52][53][54][55][56][57][58][59][60][61]”
From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [49]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These sophisticated models became possible because of unique phenotypic data of carbohydrate metabolism obtained from studies conducted in >200 adults and children applying the triple tracer technique to derive key metabolic indices and parameters.[48][49][50][51][52][53][54]”
From Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility (2023) · cites this paper as [49]
Experimental — accuracy not yet measuredIn the citing paper
“our results are consistent with a growing body of evidence that indicates that age-related changes in adiposity and physical inactivity are the primary determinants of the age-related declines in insulin sensitivity rather than chronological age (6,7,31–33).”
From Age, Obesity, and Sex Effects on Insulin Sensitivity and Skeletal Muscle Mitochondrial Function (2010) · cites this paper as [7]
In the citing paper
“Lower fasting glucose levels and greater postprandial glucose disappearance rates in elderly women than in men were also observed in another study (7).”
From Age, Obesity, and Sex Effects on Insulin Sensitivity and Skeletal Muscle Mitochondrial Function (2010) · cites this paper as [7]
In the citing paper
“which is consistent with a recent report in a large number of people (7) that demonstrated that after adjusting for body composition and cardiorespiratory fitness, the age-related differences in insulin action were eliminated.”
From Age, Obesity, and Sex Effects on Insulin Sensitivity and Skeletal Muscle Mitochondrial Function (2010) · cites this paper as [7]
In the citing paper
“Other studies have also demonstrated that diabetes can be prevented (or delayed) by lifestyle change (23,24) and medication (25,26), but the DPP provides unique information about prevention in older adults.”
From ]. The Influence of Age on the Effects of Lifestyle Modification and Metformin in Prevention of Diabetes (2006) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Longitudinal Effects of Aging on Serum Total and Free Testosterone Levels in Healthy Men
Harman, S. M., Metter, E. J., Tobin, J. D., Pearson, J., & Blackman, M. R. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.2.7219 · Cited by 2,760
Quantitative estimation of insulin sensitivity.
Bergman, R. N., Ider, Y. Z., Bowden, C. R., & Cobelli, C. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.236.6.e667 · Cited by 1,874 · cited 1×
“Indexes of insulin action (SiIVGTT) and glucose effectiveness (SgIVGTT) were calculated after intravenous glucose injection as previously described (39).”
MethodSelf-citationBergman, R. N., Phillips, L. S., & Cobelli, C. (1981) · Journal of Clinical Investigation · doi:10.1172/jci110398 · Cited by 1,640
Self-citationKahn, S. E., Prigeon, R. L., McCulloch, D. K., Boyko, E. J., Bergman, R. N., Schwartz, M. W., Neifing, J. L., Ward, W. K., Beard, J. C., & Palmer, J. P. (1993) · Diabetes · doi:10.2337/diab.42.11.1663 · Cited by 1,405
Zander, M., Madsbad, S., Madsen, J. L., & Holst, J. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07952-7 · Cited by 1,297
Toward Physiological Understanding of Glucose Tolerance: Minimal-Model Approach
Bergman, R. N. (1989) · Diabetes · doi:10.2337/diab.38.12.1512 · Cited by 1,001
Cauter, E. V., Mestrez, F., Sturis, J., & Polonsky, K. S. (1992) · Diabetes · doi:10.2337/diab.41.3.368 · Cited by 887
RIZZA, R. A., MANDARINO, L. J., & GERICH, J. E. (1982) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-54-1-131 · Cited by 696 · cited 1×
“tide and glucagon-like peptide-1-(7-36) amide infused at near-physiological”
BackgroundSelf-citationCauter, E. V., Mestrez, F., Sturis, J., et al. (1992) · Diabetes · doi:10.2337/diabetes.41.3.368 · Cited by 643
Glucose Intolerance and Aging: Evidence for Tissue Insensitivity to Insulin
DeFronzo, R. A. (1979) · Diabetes · doi:10.2337/diab.28.12.1095 · Cited by 595
Cited by
Sorted by citations
Items 301–400 of 439
Tsukuda, K., Kikuchi, M., Irie, S., Eto, T., Yamada, A., Matsuguma, K., Sasaki, T., & Katayama, Y. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0029 · Cited by 7
Envejecimiento y resistencia a la insulina. Más allá del síndrome metabólico
Zafón, C. (2007) · Revista Española de Geriatría y Gerontología · doi:10.1016/s0211-139x(07)73566-7 · Cited by 7
Energetic determinants of glucose tolerance status in Jamaican adults
Boyne, M. S., Gaskin, P. S., Luke, A. H., Wilks, R., Bennett, F. I., Younger, N. O. M., Sargeant, L. A., Adeyemo, A., Cooper, R., & Forrester, T. (2004) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602011 · Cited by 7
Sinclair, A. J., Sequiera, I., & Abdelhafiz, A. H. (2025) · Metabolites · doi:10.3390/metabo15060381 · Cited by 7
Hahm, J., Kumar, D., Andrade, J. A. F., Arany, E. J., & Hill, D. J. (2025) · Cells · doi:10.3390/cells14010034 · Cited by 6
Management of Inpatient Hyperglycemia and Diabetes in Older Adults
Davis, G. M., DeCarlo, K., Wallia, A., Umpierrez, G. E., & Pasquel, F. J. (2020) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2020.04.008 · Cited by 8
Effects of testosterone replacement on glucose and lipid metabolism
Errazuriz, I., Dube, S., Basu, A., & Basu, R. (2015) · Cardiovascular Endocrinology · doi:10.1097/xce.0000000000000061 · Cited by 6
Self-citationfor the JAMP Study Investigators, Ujihara, N., Sakura, H., Hashimoto, N., Sasamoto, K., Ohashi, H., Hasumi, S., Kasahara, T., Tomonaga, O., Nunome, H., et al. (2017) · Diabetology International · doi:10.1007/s13340-017-0330-2 · Cited by 6
Age‐related changes of proinsulin processing in diabetic and non‐diabetic Japanese individuals
Yoshino, H., Kawakami, K., Yoshino, G., & Hirose, T. (2018) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.13303 · Cited by 6
Sasaki, N., Maeda, R., Ozono, R., Nakano, Y., & Higashi, Y. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108780 · Cited by 6
Ethnic and gender differences regarding the insulin–blood pressure relationship
Palmer, I. M., Schutte, A. E., & Huisman, H. W. (2009) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.04.014 · Cited by 6
Ge, Q., Han, T., Liu, X., Chen, J., Liu, W., Liu, J., & Xu, K. (2025) · Sensors · doi:10.3390/s25041162 · Cited by 5
Evidence of an Association of Obstructive Sleep Apnea with Diabetes and Diabetic Complications
Matsumoto, T., Hirai, T., & Chin, K. (2021) · Current Sleep Medicine Reports · doi:10.1007/s40675-021-00217-y · Cited by 5
Use of a simple liquid meal test to evaluate insulin sensitivity and beta‐cell function in children
Chandler-Laney, P. C., Higgins, P. B., Granger, W. M., Alvarez, J. A., Casazza, K., Fernández, J. R., Man, C. D., Cobelli, C., & Gower, B. A. (2013) · Pediatric Obesity · doi:10.1111/j.2047-6310.2013.00147.x · Cited by 5
Self-citationSato, Y., Oka, R., Nakasone, Y., Katakura, M., Yamauchi, K., & Aizawa, T. (2015) · Endocrine Journal · doi:10.1507/endocrj.ej15-0122 · Cited by 5
Glucose Metabolism, Insulin, and Aging
Boemi, M., Furlan, G., & Luconi, M. P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801816-3.00029-7 · Cited by 5
Tamaki, J., Ogawa, S., Fujimori, K., Ishii, S., Nakatoh, S., Okimoto, N., Kamiya, K., & Iki, M. (2022) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-022-01372-0 · Cited by 5
Aging does not aggravate the pregnancy-induced adaptations in glucose tolerance in rats
Caluwaerts, S., Holemans, K., van Bree, R., Verhaeghe, J., & Assche, F. A. V. (2006) · Metabolism · doi:10.1016/j.metabol.2005.10.001 · Cited by 5
Unraveling the sweet connection between pancreatic cancer and hyperglycemia
Post, Z., Lora, D. R., & Błogowski, W. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.06.003 · Cited by 5
Glycation resistance and life-history traits: lessons from non-conventional animal models
Duval, C., Criscuolo, F., & Bertile, F. (2024) · Biology Letters · doi:10.1098/rsbl.2023.0601 · Cited by 6
Matsumoto, T., Murase, K., Tabara, Y., Minami, T., Kanai, O., Takeyama, H., Sunadome, H., Nagasaki, T., Takahashi, N., Nakatsuka, Y., et al. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13795 · Cited by 4
Sakurai, M., Motoike, I. N., Hishinuma, E., Aoki, Y., Tadaka, S., Kogure, M., Orui, M., Ishikuro, M., Obara, T., Nakaya, N., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-66180-0 · Cited by 4
Zhang, H., & Hasegawa, Y. (2025) · Molecules · doi:10.3390/molecules30173555 · Cited by 4
Xiao, X., Cui, X., Zhang, J., Han, Z., Xiao, Y., Chen, N., Li, B., Cheng, M., Gao, H., & Tang, K. (2016) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2016.3729 · Cited by 4
Li, Y., Zheng, L., Li, Y., Zhao, D., & Meng, L. (2014) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12366 · Cited by 4
Ono, Y., Ono, S., Hinata, T., Ito, T., Yasuda, H., & Tanaka, Y. (2016) · Endocrine Journal · doi:10.1507/endocrj.ej16-0289 · Cited by 4
Pablo, C. R., Mohammadnezhad, M., Wilson, D., & Khan, S. (2018) · Journal of Diabetic Complications & Medicine · doi:10.4172/2475-3211.1000120 · Cited by 4
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
Insulin sensitivity and beta-cell function in older Japanese adults without diabetes
Kanauchi, M., Kanauchi, K., Inoue, T., Kimura, K., & Saito, Y. (2008) · Age and Ageing · doi:10.1093/ageing/afn038 · Cited by 4
Ono, S., Suzuki, Y., Fukui, N., Sugai, T., Watanabe, J., Tsuneyama, N., Saito, M., & Someya, T. (2013) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e3182905775 · Cited by 4
Insulin as an Accelerator and Brake of Aging: From Molecular Landscape to Clinical Interventions
Chen, S., Sun, X., & Zhang, Y. (2025) · Comprehensive physiology · doi:10.1002/cph4.70079 · Cited by 4
Genova, M. P., Atanasova, B. D., & Todorova-Ananieva, K. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.78363 · Cited by 4
Raczkowska, E., & Bronkowska, M. (2019) · Nutrients · doi:10.3390/nu11102546 · Cited by 3
Fukuta, K., Kasai, A., Niki, N., Ishikawa, Y., Kawanishi, R., Kakuta, N., Sakai, Y., Tsutsumi, Y. M., & Tanaka, K. (2020) · BMC Anesthesiology · doi:10.1186/s12871-020-01061-3 · Cited by 3
Uchida, T., Kanamori, T., Teramoto, T., Nonaka, Y., Tanaka, H., Nakamura, S., & Murayama, N. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/1026121 · Cited by 3
Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies
Nie, Q., Li, Q., Yan, W., Luo, Q., Ying, T., Wang, H., & Wu, J. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1118620 · Cited by 4
Aging delays the suppression of lipolysis and fatty acid oxidation in the postprandial period
Osmond, A. D., Leija, R. G., Arevalo, J. A., Curl, C. C., Duong, J. J., Huie, M. J., Masharani, U. B., & Brooks, G. A. (2024) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00437.2024 · Cited by 4
Effect of Different Glucose Levels and Glycation on Meningioma Cell Migration and Invasion
Selke, P., Strauß, C., Horstkorte, R., & Scheer, M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251810075 · Cited by 3
Abe‐Doi, M., Oe, M., Murayama, R., Zushi, Y., Tanabe, H., & Sanada, H. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818771108 · Cited by 3
Eichenlaub, M., Hattersley, J. G., Gannon, M. C., Nuttall, F. Q., & Khovanova, N. A. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105911 · Cited by 4
Impact of overweight on glucose homeostasis in MODY2 and MODY3
Romuld, I. B., Kalleklev, T., Molnes, J., Júlíusson, P. B., Njølstad, P. R., & Sagen, J. V. (2021) · Diabetic Medicine · doi:10.1111/dme.14649 · Cited by 3
Krudys, K. M., Greenbaum, C. J., Pihoker, C., & Vicini, P. (2008) · Metabolism · doi:10.1016/j.metabol.2007.10.001 · Cited by 3
Jung, E. D., Lee, J., & Shon, H. (2007) · The Journal of Korean Diabetes Association · doi:10.4093/jkda.2007.31.4.343 · Cited by 3
Association between physical activity and serum C ‐peptide levels among the elderly
Li, Y., Meng, L. M., Miao, Q., & Sato, Y. (2013) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12152 · Cited by 3
Utility of nonblood-based risk assessment for predicting type 2 diabetes mellitus: A meta-analysis
Yoshizawa, S. M., Kodama, S., Fujihara, K., Ishiguro, H., Ishizawa, M., Matsubayashi, Y., Matsunaga, S., Yamada, T., Shimano, H., Kato, K., et al. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.07.026 · Cited by 3
Razzaz, J. M., Moameri, H., Akbarzadeh, Z., Ariya, M., Hosseini, S. A., Ghaemi, A., Osati, S., Ehrampoush, E., & Homayounfar, R. (2021) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2020-0084 · Cited by 2
Disorders of glucose metabolism and impaired energy metabolism in pfkma and pfkmb knockout zebrafish
Liu, N., Li, M., Liu, T., Wang, J., Zhang, B., & Zhang, M. (2025) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2025.114787 · Cited by 2
Chiriacò, M., Tricò, D., Petrie, J. R., Gabriel, R., Gastaldelli, A., Nolan, J. J., Lalic, N. M., Mingrone, G., Mari, A., & Natali, A. (2025) · Diabetologia · doi:10.1007/s00125-025-06643-9 · Cited by 2
Siewko, K., Popławska‐Kita, A., Telejko, B., Maciulewski, R., Zielińska, A., Nikołajuk, A., Górska, M., & Szelachowska, M. (2013) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2013.02.002 · Cited by 2
Ouchi, M., Morita, A., Satoh, K., Kobayashi, S., Terada, M., Kon, H., Hayashi, K., Suzuki, T., Oba, K., Sugihara, H., et al. (2022) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2022.03.005 · Cited by 2
Sekine, A., & Nakajima, K. (2023) · Epidemiologia · doi:10.3390/epidemiologia4040034 · Cited by 2
Zhang, Y., Gui, J., Song, J., Li, B., Wang, Q., Lv, X., Li, C., Zhang, G., Cheng, Z., & Huang, X. B. (2025) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaf134 · Cited by 2
Tolerancia a la glucosa en personas mayores de 60 años
Salcedo, J. J. G., Serrano‐Gallardo, L. B., Recio‐Vega, R., Salinas, J. V. C., & Medicina, F. D. (2011) · REB. Revista de educación bioquímica · Cited by 2
Bando, Y., Ishikura, K., Kanehara, H., Aoki, K., Hisada, A., Toya, D., & Tanaka, N. (2013) · Diabetology International · doi:10.1007/s13340-013-0124-0 · Cited by 2
Gait speed may predict development of Type 2 diabetes: A pilot study among elderly Japanese
Nakanishi, S., Takezawa, G., Taooka, Y., Kikkawa, K., Matsumoto, N., & Hidaka, T. (2014) · Journal of Diabetes Mellitus · doi:10.4236/jdm.2014.41007 · Cited by 2
Ismail‐Beigi, F., Lombardero, M. S., Escobedo, J., GENUTH, S. M., Green, J., Massaro, E. M., Mooradian, A. D., Ovalle, F., Whitehouse, F. W., & Zonszein, J. (2013) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2013.01.006 · Cited by 2
Shiga, T., Yokokawa, H., Taneda, Y., Sugihara, E., Meijyo, M., Mitsuhashi, K., Hisaoka, T., & Isonuma, H. (2013) · Diabetes Therapy · doi:10.1007/s13300-013-0049-4 · Cited by 2
Drug-Induced Hyperglycemia and Diabetes Mellitus
McCullen, M. K., & Ahmed, I. (2007) · CRC Press eBooks · doi:10.3109/9780849379581-35 · Cited by 2
Colagiuri, S., Dickinson, S. P., & Brand-Miller, J. C. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-374387-9.00019-2 · Cited by 2
Gelens, M. A. C. J., van Hooff, J. P., Usvyat, L. A., & Christiaans, M. H. L. (2017) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.07.001 · Cited by 2
Luk, A. O. Y., Kong, A. P. S., & Basu, A. (2020) · Diabetic Medicine · doi:10.1111/dme.14335 · Cited by 2
Self-citationYukina, M. Y., Чернова, М. О., Troshina, E. A., Evdoshenko, V. V., & Platonova, N. M. (2021) · Almanac of Clinical Medicine · doi:10.18786/2072-0505-2021-49-030 · Cited by 1
Methods to Assess In Vivo Insulin Sensitivity and Insulin Secretion
Bonadonna, R. C., Boselli, L., Dei, A., & Trombetta, M. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_11 · Cited by 2
Adverse effects of obesity on β-cell function in Japanese subjects with normal glucose tolerance
Akehi, Y., Anzai, K., Katsuta, H., Yoshida, R., Ohkubo, K., Yamashita, T., Kawashima, H., & Ono, J. (2008) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2008.05.002 · Cited by 3
Aging, Body Fat, and Carbohydrate Metabolism
Rincon, M., Muzumdar, R. H., & Barzilai, N. (2005) · Elsevier eBooks · doi:10.1016/b978-012088387-5/50021-2 · Cited by 2
Lan‐Pidhainy, X. (2012) · TSpace (University of Toronto) · Cited by 2
Age matters: Demographic insights into polycystic ovarian syndrome across generations
Mohapatra, I., & Samantaray, S. R. (2024) · Philippine Journal of Obstetrics and Gynecology · doi:10.4103/pjog.pjog_49_24 · Cited by 1
Koethe, J. R., Widmer, A., Robles, M. E., Lillegard, K., Weeks, J. T., Esfandiari, H., Fan, R., Ye, F., Bradshaw, M. L., Sirlin, C. B., et al. (2025) · Journal of Nutrition · doi:10.1016/j.tjnut.2025.07.003 · Cited by 1
Twelve weeks of voluntary wheel running restores glucagon sensitivity in middle-aged mice
Marx, T. J., Bruner, K. R., Ghimire, S., Fletcher, T., Vasileva, A., & Stern, J. H. (2026) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00244.2025 · Cited by 1
Kumar, B. P., Hayati, K. S., & Rampal, L. R. G. (2014) · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Cited by 1
New ways to test beta cell functionality in health and diabetes
Korsgaard, T. V. (2011) · Cited by 1
Toward Productive Aging: SIRT1, Systemic NAD Biosynthesis, and the NAD World
Imai, S. (2010) · Cornea · doi:10.1097/ico.0b013e3181ea4714 · Cited by 1
Han, S., Jin, S., Ko, J. S., Kim, Y. R., Gwak, M. S., Son, H. J., Joh, J., & Kim, G. S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156957 · Cited by 1
Kataoka, H., Nomura, T., Kawae, T., Oka, H., & Ikeda, Y. (2020) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.9.89 · Cited by 1
Diabetes, Aging, and Insulin’s Reponic Features: Review
Moen, J. (2022) · Current Diabetes Reviews · doi:10.2174/1573399819666221031140713 · Cited by 1
Cheng, J., Ma, J., Sun, L., Sun, X., Liu, L., Wang, L., Ge, W., & Bi, Y. (2024) · Endocrine · doi:10.1007/s12020-023-03500-w · Cited by 1
Ishikawa, R., Shirato, R., Watanabe, A., Matsuoka, S., Sugihara, R., & Kimura, K. (2024) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2024.2347742 · Cited by 1
Thermotherapy has sexually dimorphic responses in APP/PS1 mice
McFadden, S., Peck, M. R., Sime, L. N., Cox, M. F., Ikiz, E. D., Findley, C. A., Quinn, K., Fang, Y., Bartke, A., Hascup, E. R., et al. (2024) · Aging · doi:10.18632/aging.206156 · Cited by 1
Hashimoto, K.-I., Horikawa, Y., & Takeda, J. (2015) · Diabetology International · doi:10.1007/s13340-015-0219-x · Cited by 1
Do obesity and physical inactivity underlie the insulin resistance of aging
Amati, F. (2009) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 1
Interlinking dementia in Parkinson's disease: nutritional correlates of body composition
Schelp, A. O., Komuro, J. E., Corrente, J. E., & Papini, S. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815950-7.00035-7 · Cited by 1
Fukuda, Y., Ochi, M., Kanazawa, R., Nakajima, H., Fukuo, K., & Nakai, M. (2023) · Journal of Clinical Medicine Research · doi:10.14740/jocmr4848 · Cited by 2
Short, K. R. (2006) · CRC Press eBooks · doi:10.1201/9781420019322.ch18 · Cited by 1
Hodson, K. K. (2019) · Cited by 1
Ning, F. (2013) · Työväentutkimus Vuosikirja
Stroke and coronary heart disease in relation to hyperglycemia gender and age
Hyvärinen, M. (2009) · Työväentutkimus Vuosikirja
Resistencia a la insulina durante el envejecimiento: ¿un proceso mediado por leptina?
Baeza, J. (2005) · Monografías de la Real Academia Nacional de Farmacia
Man, C. D., & Cobelli, C. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-411557-6.00016-1
Self-citationBarley- and Legume Products Beneficially Affect Metabolic Responses and Appetite Regulation
Johansson, E. (2014) · Lund University Publications (Lund University)
Métabolisme glucido-lipidique chez la personne âgée
Delarue, J. (2009) · Springer eBooks · doi:10.1007/978-2-287-98117-3_3
Practicable Measures and Indices of Insulin Resistance in Nutrition Research
Hattersley, J. G., & Weickert, M. O. (2013) · Current Obesity Reports · doi:10.1007/s13679-013-0071-x
Diabetes mellitus and anti-aging
Yokono, K. (2008) · Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics · doi:10.3143/geriatrics.45.152
Homeostasis Model Assessment in Elderly Adults Without Diabetes Mellitus
García‐Salcedo, J. J., Recio‐Vega, R., Serrano‐Gallardo, L. B., & Calderón‐Salinas, V. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12342
Doyon, C. Y. (2010) · Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)
Jasik, M., Karnafel, W., & Zdrojewicz, Z. (2004)
Saisho, Y., Butler, A. E., Manesso, E., Elashoff, D. A., Rizza, R. A., & Butler, P. C. (2012) · Cited by 1
Self-citationNutrient Metabolism—Research Communication
Buddington, R. K., Buddington, K. K., Deng, D., Hemre, G., & Wilson, R. P. (2002)
Coelho, F. M. (2016) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Metadata
- Authors
- Basu, R., Breda, E., Oberg, A. L., Powell, C. C., Dalla Man, C., Basu, A., Vittone, J. L., Klee, G. G., Arora, P., Jensen, M. D., Toffolo, G., Cobelli, C., & Rizza, R. A.
- Affiliations
- Mayo Clinic (US)
- University of Padua (IT)
- Department of Information Engineering, University of Padua, Padua, Italy
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2003-07-01
- Volume
- 52
- Issue
- 7
- Pages
- 1738-1748
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2139834641
- Semantic Scholar
- d8e228956833647e46e0380931e47b93ca54183f
- Cited by
- 440
- References
- 58
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 22 · 2023: 17 · 2022: 23 · 2021: 27 · 2020: 19 · 2019: 22 · 2018: 17 · 2017: 14 · 2016: 24 · 2015: 18 · 2014: 16 · 2013: 26 · 2012: 22
- FWCI
- 15.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- American Diabetes Association
- Mayo Foundation for Medical Education and Research
- Novo Nordisk
- U.S. Public Health Service (RR-00585)
- National Institute on Aging (AG14383, P01AG014383)
- National Institute of Biomedical Imaging and Bioengineering (P41EB001975)
- National Center for Research Resources (RR-00585, M01RR000585)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- insulin resistance, insulin secretion, beta-cell function, postprandial glycemic response, hepatic insulin clearance, fat mass, visceral fat, older adults, glucose tolerance test
- MeSH terms
- Insulin Secretion, Adult, Aged, Aging, Blood Glucose, C-Peptide, Eating, Fatty Acids, Nonesterified, Glucagon, Glucose, Glucose Tolerance Test, Humans, Hydrocortisone, Insulin, Body Mass Index, Palmitic Acid, Dehydroepiandrosterone Sulfate, Human Growth Hormone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review