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Genetic variation in the GCKR gene is associated with non-alcoholic fatty liver disease in Chinese people

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Abstract

Recent genome-wide association studies reported that GCKR rs780094 polymorphism is associated with elevated fasting serum triglyceride levels and elevated levels of C-reactive protein (CRP). There are a ample of data on the association between circulating triglyceride, CRP concentrations and risk of non-alcoholic fatty liver (NAFLD). To determine whether the GCKR rs780094 polymorphism contributes to the development of non-alcoholic fatty liver, a case–control study was performed in 903 Chinese subjects. Among study population, 436 patients with B-mode ultrasound-proven NAFLD (318 with steatosis hepatis I°, 90 with steatosis hepatis II° and 28 with steatosis hepatis III°) and 467 controls were genotyped by using TaqMan allelic discrimination assays. We confirmed the association of GCKR rs780094 with NAFLD in Chinese people (OR = 1.607, 95% CI 1.139–2.271, P [dom] = 7.2 × 10−3). In this study, polymorphism in GCKR rs780094 was not significantly associated with the degree of fatty infiltration of the liver. In addition, the T-allele of GCKR rs780094 was significantly associated with increasing fasting triglyceride (P [add] = 3.8 × 10−4) and CRP (P [add] = 2.9 × 10−4) concentrations after adjusting for age, gender, and BMI. The association with NAFLD remained significant after adjustment for triglyceride, while adjustment for CRP abolished the association. Genetic variation in GCKR gene rs780094 polymorphism contributes to the risk of NAFLD in Chinese people. The effect of genotype on NAFLD is probably mediated through chronic low-grade systemic inflammation rather than through dislipidemia.

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References

  1. Angulo P (2002) Nonalcoholic fatty liver disease. N Engl J Med 346:1221–1231

    Article  CAS  PubMed  Google Scholar 

  2. Browning JD, Szczepaniak LS, Dobbins R, Nuremberg P, Horton JD, Cohen JC, Grundy SM, Hobbs HH (2004) Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology 40:1387–1395. doi:10.1002/hep.20466

    Article  PubMed  Google Scholar 

  3. Shibata M, Kihara Y, Taguchi M, Tashiro M, Otsuki M (2007) Nonalcoholic fatty liver disease is a risk factor for type 2 diabetes in middle-aged Japanese men. Diabetes Care 30:2940–2944. doi:10.2337/dc07-0792

    Article  CAS  PubMed  Google Scholar 

  4. Targher G, Bertolini L, Padovani R, Rodella S, Tessari R, Zenari L, Day C, Arcaro G (2007) Prevalence of nonalcoholic fatty liver disease and its association with cardiovascular disease among type 2 diabetic patients. Diabetes Care 30:1212–1218. doi:10.2337/dc06-2247

    Article  PubMed  Google Scholar 

  5. Angulo P (2007) GI epidemiology: nonalcoholic fatty liver disease. Aliment Pharmacol Ther 25:883–889. doi:10.1111/j.1365-2036.2007.03246.x

    Article  CAS  PubMed  Google Scholar 

  6. Williams R (2006) Global challenges in liver disease. Hepatology 44:521–526. doi:10.1002/hep.21347

    Article  PubMed  Google Scholar 

  7. Fan JG, Zhu J, Li XJ, Chen L, Li L, Dai F, Li F, Chen SY (2005) Prevalence of and risk factors for fatty liver in a general population of Shanghai, China. J Hepatol 43:508–514. doi:10.1016/j.jhep.2005.02.042

    Article  PubMed  Google Scholar 

  8. Zhou YJ, Li YY, Nie YQ, Ma JX, Lu LG, Shi SL, Chen MH, Hu PJ (2007) Prevalence of fatty liver disease and its risk factors in the population of South China. World J Gastroenterol 13:6419–6424. doi:10.3748/wjg.13.6419

    Article  PubMed  Google Scholar 

  9. Toledo FG, Sniderman AD, Kelley DE (2006) Influence of hepatic steatosis (fatty liver) on severity and composition of dyslipidemia in type 2 diabetes. Diabetes Care 29:1845–1850. doi:10.2337/dc06-0455

    Article  PubMed  Google Scholar 

  10. Kantartzis K, Rittig K, Cegan A, Machann J, Schick F, Balletshofer B, Fritsche A, Schleicher E, Haring HU, Stefan N (2008) Fatty liver is independently associated with alterations in circulating HDL2 and HDL3 subfractions. Diabetes Care 31:366–368. doi:10.2337/dc07-1558

    Article  CAS  PubMed  Google Scholar 

  11. Tilg H, Hotamisligil GS (2006) Nonalcoholic fatty liver disease: cytokine-adipokine interplay and regulation of insulin resistance. Gastroenterology 131:934–945. doi:10.1053/j.gastro.2006.05.054

    Article  CAS  PubMed  Google Scholar 

  12. Kotronen A, Yki-Jarvinen H (2008) Fatty liver: a novel component of the metabolic syndrome. Arterioscler Thromb Vasc Biol 28:27–38. doi:10.1161/ATVBAHA.107.147538

    Article  CAS  PubMed  Google Scholar 

  13. Yuan X, Waterworth D, Perry JR, Lim N, Song K, Chambers JC, Zhang W, Vollenweider P, Stirnadel H, Johnson T, Bergmann S, Beckmann ND, Li Y, Ferrucci L, Melzer D, Hernandez D, Singleton A, Scott J, Elliott P, Waeber G, Cardon L, Frayling TM, Kooner JS, Mooser V (2008) Population-based genome-wide association studies reveal six loci influencing plasma levels of liver enzymes. Am J Hum Genet 83:520–528. doi:10.1016/j.ajhg.2008.09.012

    Article  CAS  PubMed  Google Scholar 

  14. Romeo S, Kozlitina J, Xing C, Pertsemlidis A, Cox D, Pennacchio LA, Boerwinkle E, Cohen JC, Hobbs HH (2008) Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat Genet 40:1461–1465. doi:10.1038/ng.257

    Article  CAS  PubMed  Google Scholar 

  15. Van Schaftingen E, Detheux M, Veiga da Cunha M (1994) Short-term control of glucokinase activity: role of a regulatory protein. FASEB J 8:414–419

    PubMed  Google Scholar 

  16. Farrelly D, Brown KS, Tieman A, Ren J, Lira SA, Hagan D, Gregg R, Mookhtiar KA, Hariharan N (1999) Mice mutant for glucokinase regulatory protein exhibit decreased liver glucokinase: a sequestration mechanism in metabolic regulation. Proc Natl Acad Sci USA 96:14511–14516

    Article  CAS  PubMed  Google Scholar 

  17. Grimsby J, Coffey JW, Dvorozniak MT, Magram J, Li G, Matschinsky FM, Shiota C, Kaur S, Magnuson MA, Grippo JF (2000) Characterization of glucokinase regulatory protein-deficient mice. J Biol Chem 275:7826–7831. doi:10.1074/jbc.275.11.7826

    Article  CAS  PubMed  Google Scholar 

  18. Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research (2007) Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 316:1331–1336

    Article  Google Scholar 

  19. Ridker PM, Pare G, Parker A, Zee RY, Danik JS, Buring JE, Kwiatkowski D, Cook NR, Miletich JP, Chasman DI (2008) Loci related to metabolic-syndrome pathways including LEPR, HNF1A, IL6R, and GCKR associate with plasma C-reactive protein: the Women’s Genome Health Study. Am J Hum Genet 82:1185–1192. doi:10.1016/j.ajhg.2008.03.015

    Article  CAS  PubMed  Google Scholar 

  20. Shi H, Kokoeva MV, Inouye K, Tzameli I, Yin H, Flier JS (2006) TLR4 links innate immunity and fatty acid-induced insulin resistance. J Clin Invest 116:3015–3025. doi:10.1172/JCI28898

    Article  CAS  PubMed  Google Scholar 

  21. Qi Q, Wu Y, Li H, Loos RJ, Hu FB, Sun L, Lu L, Pan A, Liu C, Wu H, Chen L, Yu Z, Lin X (2009) Association of GCKR rs780094, alone or in combination with GCK rs1799884, with type 2 diabetes and related traits in a Han Chinese population. Diabetologia 52:834–843. doi:10.1007/s00125-009-1290-2

    Article  CAS  PubMed  Google Scholar 

  22. Saverymuttu SH, Joseph AE, Maxwell JD (1986) Ultrasound scanning in the detection of hepatic fibrosis and steatosis. Br Med J (Clin Res Ed) 292:13–15. doi:10.1136/bmj.292.6512.13

    Article  CAS  Google Scholar 

  23. Joseph AE, Saverymuttu SH, al-Sam S, Cook MG, Maxwell JD (1991) Comparison of liver histology with ultrasonography in assessing diffuse parenchymal liver disease. Clin Radiol 43:26–31. doi:10.1016/S0009-9260(05)80350-2

    Article  CAS  PubMed  Google Scholar 

  24. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419. doi:10.1007/BF00280883

    Article  CAS  PubMed  Google Scholar 

  25. Wen J, Rönn T, Olsson A, Yang Z, Lu B, Du Y, Groop L, Ling C, Hu R (2010) Investigation of type 2 diabetes risk alleles support CDKN2A/B, CDKAL1, and TCF7L2 as susceptibility genes in a Han Chinese cohort. PLoS One 5:e9153. doi:10.1371/journal.pone.0009153

    Article  PubMed  Google Scholar 

  26. Orho-Melander M, Melander O, Guiducci C, Perez-Martinez P, Corella D, Roos C, Tewhey R, Rieder MJ, Hall J, Abecasis G, Tai ES, Welch C, Arnett DK, Lyssenko V, Lindholm E, Saxena R, de Bakker PI, Burtt N, Voight BF, Hirschhorn JN, Tucker KL, Hedner T, Tuomi T, Isomaa B, Eriksson KF, Taskinen MR, Wahlstrand B, Hughes TE, Parnell LD, Lai CQ, Berglund G, Peltonen L, Vartiainen E, Jousilahti P, Havulinna AS, Salomaa V, Nilsson P, Groop L, Altshuler D, Ordovas JM, Kathiresan S (2008) Common missense variant in the glucokinase regulatory protein gene is associated with increased plasma triglyceride and C-reactive protein but lower fasting glucose concentrations. Diabetes 57:3112–3121. doi:10.2337/db08-0516

    Article  CAS  PubMed  Google Scholar 

  27. van der Harst P, Bakker SJ, de Boer RA, Wolffenbuttel BH, Johnson T, Caulfield MJ, Navis G (2010) Replication of the five novel loci for uric acid concentrations and potential mediating mechanisms. Hum Mol Genet 19:387–395. doi:10.1093/hmg/ddp489

    Article  PubMed  Google Scholar 

  28. Horikawa Y, Miyake K, Yasuda K, Enya M, Hirota Y, Yamagata K, Hinokio Y, Oka Y, Iwasaki N, Iwamoto Y, Yamada Y, Seino Y, Maegawa H, Kashiwagi A, Yamamoto K, Tokunaga K, Takeda J, Kasuga M (2008) Replication of genome-wide association studies of type 2 diabetes susceptibility in Japan. J Clin Endocrinol Metab 93:3136–3141. doi:10.1210/jc.2008-0452

    Article  CAS  PubMed  Google Scholar 

  29. Gerich JE (1993) Control of glycaemia. Baillieres Clin Endocrinol Metab 7:551–586. doi:10.1016/S0950-351X(05)80207-1

    Article  CAS  PubMed  Google Scholar 

  30. Floettmann E, Gregory L, Teague J, Myatt J, Hammond C, Poucher SM, Jones HB (2010) Prolonged inhibition of glycogen phosphorylase in liver of zucker diabetic fatty rats models human glycogen storage diseases. Toxicol Pathol. [Epub ahead of print] doi:10.1177/0192623310362707

  31. Donnelly KL, Smith CI, Schwarzenberg SJ, Jessurun J, Boldt MD, Parks EJ (2005) Sources of fatty acids stored in liver and secreted via lipoproteins in patients with nonalcoholic fatty liver disease. J Clin Invest 115:1343–1351. doi:10.1172/JCI200523621

    CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors thank all the subjects for participating. The authors also thank Zhihong Yang, Qin Li, Wenbai Zhou, Yuwei Zhang, Min He, Shuo Zhang, Xiaocheng Feng and Xiaolong Zhao for their assistance in the laboratory measurements and the epidemiological survey. This study was supported by the National High Technology Research and Development Program (“863”Program) of China (2009AA022704), the National Natural Science Foundation of China (330670999, 30711120573, 3030770854), Shanghai Science and Technology Commission (08dj1400605, 08JC1403200, 09DZ1950200), China Postdoctoral Science Foundation (20080440078) and Shanghai Postdoctoral Scientific Program (09R21411600).

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Correspondence to Renming Hu.

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Yang, Z., Wen, J., Tao, X. et al. Genetic variation in the GCKR gene is associated with non-alcoholic fatty liver disease in Chinese people. Mol Biol Rep 38, 1145–1150 (2011). https://doi.org/10.1007/s11033-010-0212-1

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