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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.
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“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]
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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
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
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
(2000) · PubMed · Cited by 13,173
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
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×
“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 1,799
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s5 · Cited by 1,690
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
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
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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
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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
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
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
Hu, C., & Jia, W. (2017) · Diabetes · doi:10.2337/dbi17-0013 · Cited by 386
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
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
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 328
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 282
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
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 284
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 263
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 261
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
Wang, T., Lu, J., Shi, L., Chen, G., Xu, M., Xu, Y. H., Su, Q., Mu, Y., Chen, L., Hu, R., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30425-5 · Cited by 215
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 214
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
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 174
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
Causes of type 2 diabetes in China
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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 148
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
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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
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 116
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
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Inaishi, J., & Saisho, Y. (2020) · Nutrients · doi:10.3390/nu12123846 · Cited by 119
Postprandial hyperglycemia and postprandial hypertriglyceridemia in type 2 diabetes
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Dagogo-Jack, S. E. (2016) · Springer eBooks · doi:10.1007/978-3-319-41559-8 · Cited by 101
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 108
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Fujita, M., Sato, Y., Nagashima, K., Takahashi, S., & Hata, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128972 · Cited by 90
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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
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 78
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
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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 74
Nakagomi, A., Sunami, Y., Kawasaki, Y., Fujisawa, T., & Kobayashi, Y. (2019) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2019.107442 · Cited by 79
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Cho, Y. M. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12305 · Cited by 77
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
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Hu, C., & Jia, W. (2021) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjab051 · Cited by 75
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
Ikegami, H., Babaya, N., & Noso, S. (2021) · Journal of Diabetes Investigation · doi:10.1111/jdi.13576 · Cited by 72
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Shojima, N., & Yamauchi, T. (2023) · Journal of Diabetes Investigation · doi:10.1111/jdi.13970 · Cited by 71
Hasson, B. R., Apovian, C. M., & Istfan, N. W. (2015) · Current Obesity Reports · doi:10.1007/s13679-015-0150-2 · Cited by 67
Aggarwal, R., Bibbins-Domingo, K. B., Yeh, R. W., Song, Y., Chiu, N., Wadhera, R. K., Shen, C., & Kazi, D. S. (2022) · Annals of Internal Medicine · doi:10.7326/m20-8079 · Cited by 64
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
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Ha, J., & Sherman, A. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00512.2019 · Cited by 67
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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
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
Han, Y., Zhou, Z., Zhang, Y., Zhao, G., & Xu, B. (2023) · Nutrients · doi:10.3390/nu15143139 · Cited by 61
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
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
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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
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 58
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
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
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
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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 54
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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
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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 57
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 56
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
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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
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 52
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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 55
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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
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
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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 51
Assari, S., & Lankarani, M. M. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00140 · Cited by 48
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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
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 48
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 48
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
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 49
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Song, T., Su, G., Chi, Y., Wu, T., Xu, Y., & Chen, C. (2021) · Gynecological Endocrinology · doi:10.1080/09513590.2021.1940932 · Cited by 44
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
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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
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Bennet, L., Groop, L., & Franks, P. W. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.025 · Cited by 40
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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 43
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Goff, L. M., Ladwa, M., Hakim, O., & Bello, O. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s0029665119001034 · Cited by 39
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Metadata
- 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 › Endocrinology, Diabetes and Metabolism › 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
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