Ethnic Differences in the Relationship Between Insulin Sensitivity and Insulin Response
Open accessAbstract
OBJECTIVE: Human blood glucose levels have likely evolved toward their current point of stability over hundreds of thousands of years. The robust population stability of this trait is called canalization. It has been represented by a hyperbolic function of two variables: insulin sensitivity and insulin response. Environmental changes due to global migration may have pushed some human subpopulations to different points of stability. We hypothesized that there may be ethnic differences in the optimal states in the relationship between insulin sensitivity and insulin response. RESEARCH DESIGN AND METHODS: We identified studies that measured the insulin sensitivity index (SI) and acute insulin response to glucose (AIRg) in three major ethnic groups: Africans, Caucasians, and East Asians. We identified 74 study cohorts comprising 3,813 individuals (19 African cohorts, 31 Caucasian, and 24 East Asian). We calculated the hyperbolic relationship using the mean values of SI and AIRg in the healthy cohorts with normal glucose tolerance. RESULTS: We found that Caucasian subpopulations were located around the middle point of the hyperbola, while African and East Asian subpopulations are located around unstable extreme points, where a small change in one variable is associated with a large nonlinear change in the other variable. CONCLUSIONS: Our findings suggest that the genetic background of Africans and East Asians makes them more and differentially susceptible to diabetes than Caucasians. This ethnic stratification could be implicated in the different natural courses of diabetes onset.
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
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?
East Asian populations are characterized by distinct metabolic and anthropometric profiles compared to Western populations, including lower body mass index, differences in body composition, and unique dietary patterns.
“East Asian populations are characterized by distinct metabolic and anthropometric profiles compared to Western populations, including lower body mass index (BMI), differences in body composition, and unique dietary patterns 11 , 12 .”
From A study of changes in insulin requirements related to the menstrual cycle in Japanese women with type 1 diabetes using the advanced hybrid closed‐loop system (2026) · cites this paper as [11]
The Conclusions report that East Asians have lower mean BMI and less mean total visceral fat volume than Caucasians, supporting the anthropometric and body-composition comparisons. The paper mentions novel diets in a general discussion of human migration, but does not establish distinct East Asian dietary patterns compared with Western populations. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164 · see citing works
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305 · see citing works
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,019 · see citing works
(2000) · PubMed · Cited by 13,173 · see citing works
Mechanisms linking obesity to insulin resistance and type 2 diabetes
Kahn, S. E., Hull, R. L., & Utzschneider, K. M. (2006) · Nature · doi:10.1038/nature05482 · Cited by 5,448 · see citing works
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 2× · see citing works
“Inclusion and exclusion criteria A study article that met the following criteria was included: 1) It determined individual SI and AIRg by FSIGT with minimal model (MINMOD) analysis (7,8).”
MethodReport of the Committee on the Classification and Diagnostic Criteria of Diabetes Mellitus
Seino, Y., Nanjo, K., Tajima, N., Kadowaki, T., Kashiwagi, A., Araki, E., Ito, C., Inagaki, N., Iwamoto, Y., Kasuga, M., et al. (2010) · Journal of Diabetes Investigation · doi:10.1111/j.2040-1124.2010.00074.x · Cited by 1,780 · see citing works
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s5 · Cited by 1,668 · see citing works
Kahn, 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 · see citing works
A comparison of methods to detect publication bias in meta‐analysis
Macaskill, P., Walter, S. D., & Irwig, L. (2001) · Statistics in Medicine · doi:10.1002/sim.698 · Cited by 1,286 · see citing works
Wang, J., Thornton, J., Russell, M., Burastero, S., Heymsfield, S., & Pierson, R. (1994) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/60.1.23 · Cited by 886 · see citing works
Campbell, M. C., & Tishkoff, S. A. (2008) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164258 · Cited by 847 · see citing works
Pacini, G., & Bergman, R. N. (1986) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(86)90106-9 · Cited by 695 · see citing works
Variation in Human Body Size and Shape
Ruff, C. B. (2002) · Annual Review of Anthropology · doi:10.1146/annurev.anthro.31.040402.085407 · Cited by 503 · see citing works
Criteria and classification of obesity in Japan and Asia-Oceania.
Kanazawa, M., Yoshi-ike, N., Osaka, T., Numba, Y., Zimmet, P., & Inoue, S. (2005) · World Review of Nutrition and Dietetics · doi:10.1159/000088200 · Cited by 468 · see citing works
Welch, S., Gebhart, S., Bergman, R., & Phillips, L. (1990) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/jcem-71-6-1508 · Cited by 379 · see citing works
Abdominal fat distribution and metabolic risk factors: Effects of race
Lovejoy, J. C., de la Bretonne, J. A., Klemperer, M., & Tulley, R. T. (1996) · Metabolism · doi:10.1016/s0026-0495(96)90011-6 · Cited by 345 · see citing works
WHO reassesses appropriate body-mass index for Asian populations
Choo, V. (2002) · The Lancet · doi:10.1016/s0140-6736(02)09512-0 · Cited by 338 · see citing works
Insulin resistance associated with lower rates of weight gain in Pima Indians.
Swinburn, B. A., Nyomba, B. L. G., Saad, M. F., ZURLO, F., Raz, I., Knowler, W. C., Lillioja, S., Bogardus, C., & Ravussin, É. (1991) · Journal of Clinical Investigation · doi:10.1172/jci115274 · Cited by 321 · see citing works
Ortiz, O., Russell, M., Daley, T., Baumgartner, R., Waki, M., Lichtman, S. W., Wang, J., Pierson, R., & Heymsfield, S. (1992) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/55.1.8 · Cited by 285 · see citing works
Decanalization and the origin of complex disease
Gibson, G. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2502 · Cited by 285 · see citing works
The Natural Course of β-Cell Function in Nondiabetic and Diabetic Individuals
Festa, A., Williams, K., D’Agostino, R., Wagenknecht, L. E., & Haffner, S. M. (2006) · Diabetes · doi:10.2337/diabetes.55.04.06.db05-1100 · Cited by 267 · see citing works
Taaffe, D. R., Cauley, J. A., Danielson, M. E., Nevitt, M. C., Lang, T., Bauer, D. C., & Harris, T. B. (2001) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.2001.16.7.1343 · Cited by 259 · see citing works
Epidemiology of Type 2 Diabetes: Risk Factors
Haffner, S. M. (1998) · Diabetes Care · doi:10.2337/diacare.21.3.c3 · Cited by 231 · see citing works
Kadowaki, T., Sekikawa, A. M., Murata, K., Maegawa, H., Takamiya, T., Okamura, T., El‐Saed, A., Miyamatsu, N., Edmundowicz, D., Kita, Y., et al. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803248 · Cited by 216 · see citing works
Osei, K., & Schuster, D. (1994) · Diabetic Medicine · doi:10.1111/j.1464-5491.1994.tb00349.x · Cited by 181 · see citing works
Tanaka, S., Horimai, C., & Katsukawa, F. (2003) · Acta Diabetologica · doi:10.1007/s00592-003-0093-z · Cited by 148 · see citing works
Criteria and classification of obesity in Japan and Asia‐Oceania
Kanazawa, M., Yoshi-ike, N., Osaka, T., Numba, Y., Zimmet, P., & Inoue, S. (2002) · Asia Pacific Journal of Clinical Nutrition · doi:10.1046/j.1440-6047.11.s8.19.x · Cited by 130 · see citing works
Chen, R., Corona, E., Sikora, M., Dudley, J. T., Morgan, A. A., Moreno‐Estrada, A., Nilsen, G. B., Ruau, D., Lincoln, S. E., Bustamante, C. D., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002621 · Cited by 127 · see citing works
Self-citationPrigeon, R., Røder, M., Porte, D., & Kahn, S. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118441 · Cited by 120 · see citing works
Gower, B. A., Granger, W. M., Franklin, F., Shewchuk, R. M., & Goran, M. I. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.87.5.8498 · Cited by 114 · see citing works
Pacini, G., Tonolo, G., Sambataro, M., Maioli, M., Ciccarese, M., Brocco, E., Avogaro, A., & Nosadini, R. (1998) · American Journal of Physiology. Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.274.4.e592 · Cited by 108 · see citing works
Overview of Non‐insulin‐dependent Diabetes Mellitus (NIDDM) in Different Population Groups
Fujimoto, W. Y. (1996) · Diabetic Medicine · doi:10.1002/dme.1996.13.s6.7 · Cited by 102 · see citing works
Quon, M. J., Cochran, C., Taylor, S. I., & Eastman, R. C. (1994) · Diabetes · doi:10.2337/diab.43.7.890 · Cited by 96 · see citing works
Insulin Response in Relation to Insulin Sensitivity
Goedecke, J., Dave, J., Faulenbach, M., Utzschneider, K., Lambert, E., West, S., Collins, M., Olsson, T., Walker, B., Seckl, J., et al. (2009) · Diabetes Care · doi:10.2337/dc08-2048 · Cited by 89 · see citing works
Kagawa, M., Kerr, D. A., Uchida, H., & Binns, C. W. (2006) · British Journal Of Nutrition · doi:10.1079/bjn20061745 · Cited by 89 · see citing works
Finegood, D. T., & Tzur, D. (1996) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1996.271.3.e485 · Cited by 80 · see citing works
Diet, Body Size, and Plasma Lipids-Lipoproteins in Young Adults: Differences by Race and Sex
Horn, L. V., Ballew, C., Liu, K., McDonald, A., Hilner, J. E., Burke, G. L., Savage, P. J., Bragg, C., Caan, B. J., Jacobs, D. R., et al. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115807 · Cited by 71 · see citing works
Weight Regain Following Sustained Weight Reduction is Predicted by Relative Insulin Sensitivity
Yost, T. J., Jensen, D. R., & Eckel, R. H. (1995) · Obesity Research · doi:10.1002/j.1550-8528.1995.tb00193.x · Cited by 60 · see citing works
Differences between the tolbutamide-boosted and the insulin-modified minimal model protocols.
Saad, M. F., Steil, G. M., Kades, W. W., Ayad, M. F., Elsewafy, W. A., Boyadjian, R., Jinagouda, S. D., & Bergman, R. N. (1997) · Diabetes · doi:10.2337/diab.46.7.1167 · Cited by 59 · see citing works
Goree, L. L. T., Darnell, B., Oster, R., Brown, M. A., & Gower, B. (2009) · Obesity · doi:10.1038/oby.2009.248 · Cited by 22 · see citing works
Estimation of β-cell function from the data of the oral glucose tolerance test
Sakaue, S., 石丸伸司, Ikeda, D., Ohtsuka, Y., Honda, T., Suzuki, J.-I., Kawakami, Y., Ishii, J., & Nishimura, M. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00341.2006 · Cited by 13 · see citing works
.BETA.-cell Function is a Major Contributor to Oral Glucose Disposition in Obese Japanese Students
Asano, T., Yoshida, R., OGATA, H., Kokawa, K., OGIMOTO, M., Akehi, Y., Anzai, K., Ono, J., Tamura, K., HIDEHIRA, K., et al. (2007) · Endocrine Journal · doi:10.1507/endocrj.k07-016 · Cited by 12 · see citing works
Alberti (1998) · doi:10.1002/(sici)1096-9136(199807)15:7
Flagged first, then by citations
Research works printed but not linked: 1
- Wells GA, O'Connell D, Pearson J, Welch V, Lossos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses [article online], 2011. Available from http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed 3 September 2012
Cited by
Sorted by citations
Trends in insulin resistance: insights into mechanisms and therapeutic strategy
Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01073-0 · Cited by 939 · see citing works
The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L.-L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32374-6 · Cited by 793 · see citing works
Khan, S. H., Sobia, F., Niazi, N. K., Manzoor, S. M., Fazal, N., & Ahmad, F. (2018) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-018-0376-8 · Cited by 414 · see citing works
Hu, C., & Jia, W. (2017) · Diabetes · doi:10.2337/dbi17-0013 · Cited by 387 · see citing works
The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · Figshare · Cited by 337 · see citing works
β Cell Dysfunction Versus Insulin Resistance in the Pathogenesis of Type 2 Diabetes in East Asians
Yabe, D., Seino, Y., Fukushima, M., & Seino, S. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0602-9 · Cited by 328 · see citing works
Watanabe, S., Hashimoto, E., Ikejima, K., Uto, H., Ono, M., Sumida, Y., Seike, M., Takei, Y., Takehara, T., Tokushige, K., et al. (2015) · Journal of Gastroenterology · doi:10.1007/s00535-015-1050-7 · Cited by 326 · see citing works
Tokushige, K., Ikejima, K., Ono, M., Eguchi, Y., Kamada, Y., Itoh, Y., Akuta, N., Yoneda, M., Iwasa, M., Yoneda, M., et al. (2021) · Journal of Gastroenterology · doi:10.1007/s00535-021-01796-x · Cited by 276 · see citing works
β-cell dysfunction: Its critical role in prevention and management of type 2 diabetes
Saisho, Y. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i1.109 · Cited by 263 · see citing works
Hyperinsulinemia: An Early Indicator of Metabolic Dysfunction
Thomas, D. D., Corkey, B. E., Istfan, N. W., & Apovian, C. M. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2019-00065 · Cited by 261 · see citing works
Ke, C., Narayan, K. M. V., Chan, J. C. N., Jha, P., & Shah, B. R. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00669-4 · Cited by 253 · see citing works
Body composition and cardiometabolic health across the menopause transition
Marlatt, K. L., Pitynski, D., Gavin, K. M., Moreau, K. L., Melanson, E. L., Santoro, N. F., & Kohrt, W. M. (2021) · Obesity · doi:10.1002/oby.23289 · Cited by 246 · see citing works
Yang, B., Qian, Z. M., Li, S., Chen, G., Bloom, M. S., Elliott, M., Syberg, K. W., Heinrich, J., Markevych, I., Wang, S.-Q., et al. (2018) · The Lancet Planetary Health · doi:10.1016/s2542-5196(18)30001-9 · Cited by 224 · see citing works
Wang, T.-G., Lu, J.-L., Shi, L.-X., Chen, G., Xu, M., Xu, Y., Su, Q., Mu, Y., Chen, L.-L., Hu, R.-Y., et al. (2019) · The Lancet Diabetes and Endocrinology · doi:10.1016/s2213-8587(19)30425-5 · Cited by 160 · see citing works
Definition, criteria, and core concepts of guidelines for the management of obesity disease in Japan
Ogawa, W., Hirota, Y., Miyazaki, S., Nakamura, T., Ogawa, Y., Shimomura, I., Yamauchi, T., & Yokote, K. (2023) · Endocrine Journal · doi:10.1507/endocrj.ej23-0593 · Cited by 208 · see citing works
Watanabe, S., Hashimoto, E., Ikejima, K., Uto, H., Ono, M., Sumida, Y., Seike, M., Takei, Y., Takehara, T., Tokushige, K., et al. (2015) · Hepatology Research · doi:10.1111/hepr.12511 · Cited by 197 · see citing works
Incretin‐based drugs for type 2 diabetes: Focus on East Asian perspectives
Seino, Y., Kuwata, H., & Yabe, D. (2016) · Journal of Diabetes Investigation · doi:10.1111/jdi.12490 · Cited by 175 · see citing works
Kim, Y. G., Hahn, S., Oh, T. J., Park, K. S., & Cho, Y. (2014) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12293 · Cited by 172 · see citing works
Causes of type 2 diabetes in China
Ronald, C. W., Xu, L., & Jia, W. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70145-7 · Cited by 154 · see citing works
Tokushige, K., Ikejima, K., Ono, M., Eguchi, Y., Kamada, Y., Itoh, Y., Akuta, N., Yoneda, M., Iwasa, M., Yoneda, M., et al. (2021) · Hepatology Research · doi:10.1111/hepr.13688 · Cited by 145 · see citing works
A priori-defined diet quality indexes and risk of type 2 diabetes: the multiethnic cohort
Jacobs, S., Harmon, B. E., Boushey, C. J., Morimoto, Y., Wilkens, L. R., Le Marchand, L., Kröger, J., Schulze, M. B., Kolonel, L. N., & Maskarinec, G. (2015) · Diabetologia · doi:10.1007/s00125-014-3404-8 · Cited by 121 · see citing works
Insulin Resistance and Prognosis of Nondiabetic Patients With Ischemic Stroke
Jing, J., Pan, Y., Zhao, X., Zheng, H., Jia, Q., Mi, D., Chen, W., Li, H., Liu, L., Wang, C., et al. (2017) · Stroke · doi:10.1161/strokeaha.116.015613 · Cited by 119 · see citing works
Tanabe, H., Saito, H., Kudo, A., Machii, N., Hirai, H., Maimaituxun, G., Tanaka, K., Masuzaki, H., Watanabe, T., Asahi, K., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9072083 · Cited by 110 · see citing works
Yan, F., Yan, S., Wang, J., Cui, Y., Chen, F., Fang, F., & Cui, W. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01664-9 · Cited by 115 · see citing works
Beta-Cell Mass in Obesity and Type 2 Diabetes, and Its Relation to Pancreas Fat: A Mini-Review
Inaishi, J., & Saisho, Y. (2020) · Nutrients · doi:10.3390/nu12123846 · Cited by 113 · see citing works
Postprandial hyperglycemia and postprandial hypertriglyceridemia in type 2 diabetes
Hiyoshi, T., Fujiwara, M., & Zemin, Y. (2018) · Journal of Biomedical Research · doi:10.7555/jbr.31.20160164 · Cited by 110 · see citing works
Diabetes Mellitus in Developing Countries and Underserved Communities
Dagogo-Jack, S. E. (2016) · Springer eBooks · doi:10.1007/978-3-319-41559-8 · Cited by 101 · see citing works
Parcha, V., Heindl, B. F., Kalra, R., Li, P., Gower, B. A., Arora, G., & Arora, P. K. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab645 · Cited by 100 · see citing works
The Effect of Low-Carbohydrate and Low-Fat Diets on Pain in Individuals with Knee Osteoarthritis
Strath, L. J., Jones, C. D., George, A. P., Lukens, S. L., Morrison, S. A., Soleymani, T., Locher, J. L., Gower, B. A., & Sorge, R. E. (2019) · Pain Medicine · doi:10.1093/pm/pnz022 · Cited by 93 · see citing works
Fujita, M., Sato, Y., Nagashima, K., Takahashi, S., & Hata, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128972 · Cited by 90 · see citing works
Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?
Khalili, D., Khayamzadeh, M., Kohansal, K., Ahanchi, N. S., Hasheminia, M., Hadaegh, F., Tohidi, M., Azizi, F., & Habibi-Moeini, A. S. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01291-9 · Cited by 99 · see citing works
Ethnic differences in adiposity and diabetes risk – insights from genetic studies
Yaghootkar, H., Whitcher, B. J., Bell, J. D., & Thomas, E. L. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13082 · Cited by 91 · see citing works
Hypothesis: Role of Reduced Hepatic Insulin Clearance in the Pathogenesis of Type 2 Diabetes
Bergman, R. N., Piccinini, F., Kabir, M., Kolka, C. M., & Ader, M. (2019) · Diabetes · doi:10.2337/db19-0098 · Cited by 87 · see citing works
Mitochondrial Dysfunction, Oxidative Stress, and Inter-Organ Miscommunications in T2D Progression
Veluthakal, R., Esparza, D., Hoolachan, J. M., Balakrishnan, R., Ahn, M., Oh, E., Jayasena, C. S., & Thurmond, D. C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031504 · Cited by 90 · see citing works
Kim, J. A., Kim, J., Roh, E., Hong, S., Lee, Y., Baik, S. H., Choi, K. M., Noh, E., Hwang, S. Y., Cho, G. J., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108533 · Cited by 82 · see citing works
Yu, D., Moore, S. C., Matthews, C. E., Xiang, Y., Zhang, X., Gao, Y., Zheng, W., & Shu, X. (2015) · Metabolomics · doi:10.1007/s11306-015-0890-8 · Cited by 77 · see citing works
Saito, I., Hitsumoto, S., Maruyama, K., Nishida, W., Eguchi, E., Kato, T., Kawamura, R., Takata, Y., Onuma, H., Osawa, H., et al. (2015) · Journal of Epidemiology · doi:10.2188/jea.je20140254 · Cited by 77 · see citing works
Type 2 diabetes via β-cell dysfunction in east Asian people
Yabe, D., & Seino, Y. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00389-7 · Cited by 77 · see citing works
Kadowaki, T., Nangaku, M., Hantel, S., Okamura, T., von Eynatten, M., Wanner, C., & Koitka‐Weber, A. (2018) · Journal of Diabetes Investigation · doi:10.1111/jdi.12971 · Cited by 77 · see citing works
Nakagomi, A., Sunami, Y., Kawasaki, Y., Fujisawa, T., & Kobayashi, Y. (2020) · Journal of diabetes and its complications · doi:10.1016/j.jdiacomp.2019.107442 · Cited by 64 · see citing works
Incretin physiology and pathophysiology from an A sian perspective
Cho, Y. M. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12305 · Cited by 75 · see citing works
Liu, Y., Andersen, S. W., Wen, W., Gao, Y.-T., Lan, Q., Rothman, N., Ji, B., Yang, G., Xiang, Y.-B., Shu, X., et al. (2016) · International Journal of Cancer · doi:10.1002/ijc.30187 · Cited by 65 · see citing works
Multi-omics profiling: the way toward precision medicine in metabolic diseases
Hu, C., & Jia, W. (2021) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjab051 · Cited by 74 · see citing works
Jacobs, S., Boushey, C. J., Franke, A. A., Shvetsov, Y. B., Monroe, K. R., Haiman, C. A., Kolonel, L. N., Marchand, L. L., & Maskarinec, G. (2017) · British Journal Of Nutrition · doi:10.1017/s0007114517002033 · Cited by 72 · see citing works
Ikegami, H., Babaya, N., & Noso, S. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13576 · Cited by 69 · see citing works
Progress in genetics of type 2 diabetes and diabetic complications
Shojima, N., & Yamauchi, T. (2023) · Journal of Diabetes Investigation · doi:10.1111/jdi.13970 · Cited by 66 · see citing works
Hasson, B. R., Apovian, C. M., & Istfan, N. W. (2015) · Current Obesity Reports · doi:10.1007/s13679-015-0150-2 · Cited by 65 · see citing works
Aggarwal, R., Bibbins-Domingo, K., Yeh, R., Song, Y., Chiu, N., Wadhera, R., Shen, C.-Y., & Kazi, D. S. (2022) · Annals of Internal Medicine · doi:10.7326/m20-8079 · Cited by 47 · see citing works
Akter, S., Kurotani, K., Kashino, I., Goto, A., Mizoue, T., Noda, M., Sawada, N., & Tsugane, S. (2016) · Journal of Nutrition · doi:10.3945/jn.115.225177 · Cited by 64 · see citing works
Type 2 Diabetes: One Disease, Many Pathways.
Ha, J., & Sherman, A. (2020) · American Journal of Physiology. Endocrinology and Metabolism · doi:10.1152/ajpendo.00512.2019 · Cited by 36 · see citing works
Coffee and green tea consumption is associated with insulin resistance in Japanese adults
Pham, N. M., Nanri, A., Kochi, T., Kuwahara, K., Tsuruoka, H., Kurotani, K., Akter, S., Kabe, I., Sato, M., Hayabuchi, H., et al. (2013) · Metabolism · doi:10.1016/j.metabol.2013.11.008 · Cited by 62 · see citing works
Rahmadhani, R., Zaharan, N. L., Mohamed, Z., Moy, F. M., & Jalaludin, M. Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178695 · Cited by 61 · see citing works
Han, Y., Zhou, Z., Zhang, Y., Zhao, G., & Xu, B. (2023) · Nutrients · doi:10.3390/nu15143139 · Cited by 59 · see citing works
Naito, E., Yoshida, Y., Kunihiro, S., Makino, K., Kasahara, K., KOUNOSHI, Y., Aida, M., Hoshi, R., Watanabe, O., Igarashi, T., et al. (2017) · Bioscience of Microbiota Food and Health · doi:10.12938/bmfh.17-012 · Cited by 59 · see citing works
Sarría‐Santamera, A., Orazumbekova, B., Maulenkul, T., Gaipov, A., & Atageldiyeva, K. K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249523 · Cited by 60 · see citing works
β-cell neogenesis: A rising star to rescue diabetes mellitus
Niu, F., Liu, W., Ren, Y., Tian, Y., Shi, W., Li, M., Li, Y., Xiong, Y., & Lü, Q. (2023) · Journal of Advanced Research · doi:10.1016/j.jare.2023.10.008 · Cited by 65 · see citing works
Pathophysiology of type 2 diabetes in sub-Saharan Africans
Goedecke, J. H., & Mendham, A. E. (2022) · Diabetologia · doi:10.1007/s00125-022-05795-2 · Cited by 59 · see citing works
Wang, H., Zhang, J., Pu, Y., Qin, S., Liu, H., Tian, Y., & Tang, Z. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1028167 · Cited by 56 · see citing works
Marlatt, K. L., Redman, L. M., Beyl, R. A., Smith, S. R., Champagne, C. M., Yi, F., & Lovejoy, J. C. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.09.051 · Cited by 54 · see citing works
Haines, M. S., Dichtel, L. E., Santoso, K., Torriani, M., Miller, K. K., & Bredella, M. A. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-0590-y · Cited by 54 · see citing works
Seino, Y., Inagaki, N., Haneda, M., Kaku, K., Sasaki, T., Fukatsu, A., Ubukata, M., Sakai, S., & Samukawa, Y. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12316 · Cited by 54 · see citing works
Okura, T., Nakamura, R., Fujioka, Y., Kawamoto-Kitao, S., Ito, Y., Matsumoto, K., Shoji, K., Sumi, K., Matsuzawa, K., Izawa, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201052 · Cited by 55 · see citing works
Effects of Obesity and Diabetes on α- and β-Cell Mass in Surgically Resected Human Pancreas
Inaishi, J., Saisho, Y., Sato, S., Kou, K., Murakami, R., Watanabe, Y., Kitago, M., Kitagawa, Y., Yamada, T., & Itoh, H. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-1374 · Cited by 53 · see citing works
Ethnic differences in insulin sensitivity and beta-cell function among Asian men
Tan, V. M. H., Lee, Y. S., Venkataraman, K., Khoo, E. Y. H., Tai, E. S., Chong, Y. S., Gluckman, P. D., Leow, M. K., & Khoo, C. M. (2015) · Nutrition and Diabetes · doi:10.1038/nutd.2015.24 · Cited by 53 · see citing works
Metabolic syndrome and its association with nonalcoholic steatohepatitis
Bril, F., Sanyal, A., & Cusi, K. (2023) · Clinics in Liver Disease · doi:10.1016/j.cld.2023.01.002 · Cited by 52 · see citing works
Insulin–Heart Axis: Bridging Physiology to Insulin Resistance
Caturano, A., Galiero, R., Vetrano, E., Sardu, C., Rinaldi, L., Russo, V., Monda, M., Marfella, R., & Sasso, F. C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25158369 · Cited by 56 · see citing works
Bouchi, R., Kondo, T., Ohta, Y., Goto, A., Tanaka, D., Satoh, H., Yabe, D., Nishimura, R., Harada, N., Kamiya, H., et al. (2022) · Journal of Diabetes Investigation · doi:10.1111/jdi.13960 · Cited by 52 · see citing works
Oh, T. J., Lim, S. K., Kim, K. M., Moon, J. H., Choi, S. H., Cho, Y. M., Park, K. S., Jang, H. C., & Cho, N. H. (2016) · Clinical Endocrinology · doi:10.1111/cen.13280 · Cited by 51 · see citing works
for the ERA JUMP Study Group, Ahuja, V., Kadowaki, T., Evans, R. G., Kadota, A., Okamura, T., Khoudary, S. R. E., Fujiyoshi, A., Barinas‐Mitchell, E., Hisamatsu, T., et al. (2014) · Diabetologia · doi:10.1007/s00125-014-3414-6 · Cited by 51 · see citing works
The digital revolution in phenotyping
Oellrich, A., Collier, N., Groza, T., Rebholz‐Schuhmann, D., Shah, N. H., Bodenreider, O., Boland, M. R., Georgiev, I., Liu, H., Livingston, K., et al. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv083 · Cited by 50 · see citing works
on behalf of the Taskforce Team of the Obesity Fact Sheet of the Korean Society for the Study of Obesity, Lee, K. R., Seo, M. H., Han, K., Jung, J.-H., & Hwang, I. C. (2018) · British Journal of Cancer · doi:10.1038/s41416-018-0214-7 · Cited by 50 · see citing works
A pro-diabetogenic mtDNA polymorphism in the mitochondrial-derived peptide, MOTS-c
Zempo, H., Kim, S., Fuku, N., Nishida, Y., Higaki, Y., Wan, J., Yen, K., Miller, B., Vicinanza, R., Miyamoto‐Mikami, E., et al. (2021) · Aging · doi:10.18632/aging.202529 · Cited by 54 · see citing works
An Updated Review on Cancer Risk Associated with Incretin Mimetics and Enhancers
Tseng, C.-H., Lee, K.-Y., & Tseng, F.-H. (2015) · Journal of Environmental Science and Health, Part C · doi:10.1080/10590501.2015.1003496 · Cited by 49 · see citing works
Jia, G., Shu, X., Liu, Y., Li, H.-L., Cai, H., Gao, J., Gao, Y.-T., Wen, W., Xiang, Y.-B., & Zheng, W. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.17371 · Cited by 48 · see citing works
Validation of the Swedish Diabetes Re-Grouping Scheme in Adult-Onset Diabetes in China
Li, X., Yang, S. L., Cao, C., Yan, X., Zheng, L., Zheng, L., Da, J., Tang, X., Ji, L., Yang, X., et al. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa524 · Cited by 49 · see citing works
Assari, S., & Lankarani, M. M. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00140 · Cited by 48 · see citing works
Epidemiology of diabetes among South Asians in the United States: lessons from the MASALA study
Gujral, U. P., & Kanaya, A. M. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14530 · Cited by 51 · see citing works
Dynamic assessment of insulin secretion and insulin resistance in Asians with prediabetes
Magkos, F., Lee, M. H., Lim, M., Cook, A. R., Chhay, V., Loh, T. P., Chia, K. S., Baig, S., Ang, I. Y. H., Tay, J., et al. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154957 · Cited by 49 · see citing works
Kuningas, K., Driscoll, J., Mair, R., Smith, H. J., Dutton, M., Day, E., & Sharif, A. A. (2019) · Transplantation · doi:10.1097/tp.0000000000002969 · Cited by 47 · see citing works
Liu, Y., Shu, X., Wen, W., Saito, E., Rahman, M. S., Tsugane, S., Tamakoshi, A., Xiang, Y., Yuan, J., Gao, Y., et al. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy024 · Cited by 47 · see citing works
Chissini, R. D. B. C., Kuschnir, M. C. C., de Oliveira, C. L., Giannini, D. T., & Santos, B. (2019) · Nutrition · doi:10.1016/j.nut.2019.110608 · Cited by 46 · see citing works
Fosam, A. E., Sikder, S., Abel, B. S., Tella, S. H., Walter, M. F., Mari, A., & Muniyappa, R. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa070 · Cited by 44 · see citing works
Association between triglyceride glucose index and risk of cancer: A meta-analysis
Wang, H., Yan, F., Cui, Y., Chen, F., Wang, G., & Cui, W. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1098492 · Cited by 44 · see citing works
Non-alcoholic fatty liver disease in polycystic ovary syndrome women
Won, Y. B., Seo, S. K., Yun, B. H., Cho, S., Choi, Y. S., & Lee, B. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-86697-y · Cited by 47 · see citing works
Ikejima, K., Kon, K., & Yamashina, S. (2020) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2020.0202 · Cited by 41 · see citing works
Song, T., Su, G., Chi, Y., Wu, T., Xu, Y., & Chen, C. (2021) · Gynecological Endocrinology · doi:10.1080/09513590.2021.1940932 · Cited by 42 · see citing works
Bril, F., Portillo-Sánchez, P., Liu, I., Kalavalapalli, S., Dayton, K., & Cusi, K. J. (2017) · Diabetes Care · doi:10.2337/dc17-1349 · Cited by 42 · see citing works
Pathogenesis of type 2 diabetes risk in black Africans: a South African perspective
Goedecke, J. H., & Olsson, T. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13083 · Cited by 43 · see citing works
Weng, J., Soegondo, S., Schnell, O., Sheu, W. H., Grzeszczak, W., Watada, H., Yamamoto, N., & Kalra, S. (2014) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2576 · Cited by 42 · see citing works
Insulin Resistance and the Risk of Diabetes and Dysglycemia in Korean General Adult Population
Baek, J. H., Kim, H., Kim, K. Y., & Jung, J. (2018) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2017.0106 · Cited by 41 · see citing works
Bennet, L., Groop, L., & Franks, P. W. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.025 · Cited by 40 · see citing works
Racial and ethnic differences in the metabolic response of polycystic ovary syndrome
Ezeh, U. I., Chen, Y.-D. I., & Azziz, R. (2020) · Clinical Endocrinology · doi:10.1111/cen.14193 · Cited by 40 · see citing works
Bennet, L., Nilsson, C., Aly, D. M., Christensson, A. G., Groop, L., & Ahlqvist, E. (2020) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3419 · Cited by 40 · see citing works
Postprandial Insulin Response and Clearance Among Black and White Women: The Federal Women’s Study
Chung, S. T., Cruz, M. G. L., Aldana, P. C., Mabundo, L. S., DuBose, C. W., Onuzuruike, A. U., Walter, M. F., Gharib, A. M., Courville, A. B., Sherman, A., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01032 · Cited by 39 · see citing works
Goff, L. M., Ladwa, M., Hakim, O., & Bello, O. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s0029665119001034 · Cited by 39 · see citing works
Lamos, E. M., Hedrington, M. S., & Davis, S. N. (2019) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2019.1626823 · Cited by 39 · see citing works
Benefit-Risk Assessment of Alogliptin for the Treatment of Type 2 Diabetes Mellitus
Kaku, K., Kisanuki, K., Shibata, M., & Oohira, T. (2019) · Drug Safety · doi:10.1007/s40264-019-00857-8 · Cited by 38 · see citing works
Long-term exposure to ozone and diabetes incidence: A longitudinal cohort study in China
Wang, Y., Cao, R., Xu, Z., Jin, J., Wang, J., Yang, T., Wei, J., Huang, J., & Li, G. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.151634 · Cited by 37 · see citing works
Seah, J. Y. H., Hong, Y., Cichońska, A., Sabanayagam, C., Nusinovici, S., Wong, T. Y., Cheng, C., Jousilahti, P., Lundqvist, A., Perola, M., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac212 · Cited by 37 · see citing works
Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population
Kong, X., Xing, X., Hong, J., Zhang, X., & Yang, W. (2016) · Medicine · doi:10.1097/md.0000000000003841 · Cited by 37 · see citing works
- Authors
- Kodama, K., Tojjar, D., Yamada, S., Toda, K., Patel, C. J., & Butte, A. J.
- Affiliations
- Lucile Packard Children's Hospital (US)
- Lund University (SE)
- Kitasato Institute Hospital (JP)
- Corresponding author
- Kodama, Keiichi
- Butte, Atul J.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2013-05-15
- Volume
- 36
- Issue
- 6
- Pages
- 1789-1796
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC3661854
- OpenAlex
- W2067663978
- Semantic Scholar
- 49e57510095279c6a41076455ff3e7a2ae6f8146
- Cited by
- 599
- References
- 44
- Citations by year
- 2026: 28 · 2025: 56 · 2024: 53 · 2023: 47 · 2022: 63 · 2021: 68 · 2020: 55 · 2019: 47 · 2018: 39 · 2017: 40 · 2016: 34 · 2015: 33 · 2014: 33 · 2013: 2
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- U.S. National Library of Medicine (R01LM009719, T15LM007033)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- insulin sensitivity, insulin response, ethnic differences, canalization, hyperbolic relationship, acute insulin response to glucose, insulin sensitivity index, diabetes susceptibility, African populations, East Asian populations, Caucasian population, glucose tolerance, genetic background
- MeSH terms
- Humans, Insulin, Insulin Resistance, Black People, White People, Asian People
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