Startseite Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population

  • Qiong Huang , Liu-Fu Zhang , Yan Cheng , Ying-Chun Zhao , Li Si , Ying Gao und Wei Wei EMAIL logo
Veröffentlicht/Copyright: 13. Mai 2013
Veröffentlichen auch Sie bei De Gruyter Brill
Manuskript einreichen Informationen für Autor*innen
Clinical Chemistry and Laboratory Medicine
Aus der Zeitschrift Clinical Chemistry and Laboratory Medicine Band 51 Heft 9

Abstract

Background: β3-Adrenergic receptor (β3-AR) gene is associated with insulin resistance and may affect serum uric acid levels. Our aim was to determine the possible association between β3-AR gene Trp64Arg polymorphism (rs4994) and hyperuricemia in a Chinese male population.

Methods: A total of 410 hyperuricemic and 420 normouricemic male subjects were genotyped in this study. The genotypic and allelic frequencies were compared between the two groups. Body mass index (BMI), waist to hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum uric acid, urea nitrogen, creatinine, triglyceride, total cholesterol, low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C) and fasting plasma glucose (FPG) were determined.

Results: The frequencies of CC genotype and C allele for Trp64Arg polymorphism were higher in hyperuricemic group than in normouricemic group (p<0.01 and p<0.05, respectively). In both hyperuricemic and normouricemic groups, subjects with mutated C allele of Trp64Arg polymorphism showed significantly higher average uric acid levels than TT genotype carriers (p<0.01 and p<0.01, respectively). Univariate and multivariate logistic regression showed that carrier of mutated C allele of Trp64Arg polymorphism was significantly associated with hyperuricemia occurrence (p=0.003, OR=1.587, 95% CI 1.175–2.145 and p=0.003, OR=1.676, 95% CI 1.051–3.617).

Conclusions: Trp64Arg polymorphism was associated with hyperuricemia in a Chinese male population and should be an independent risk factor for hyperuricemia.

Keywords: association analysis; β3-adrenergic receptor; genetic polymorphism; hyperuricemia; serum uric acid
Corresponding author: Professor Wei Wei, Institute of Clinical Pharmacology, Anhui Medical University, Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Hefei, Anhui 230032, P.R. China, Phone: +86 551 65161209, Fax: +86 551 65161209

This study was supported by the National Natural Science Foundation of China Grants 81202596 and 81202541, Specialized Research Fund for the Doctoral Program of Higher Education (20113420120006), Grants for Scientific Research of BSKY (XJ201021), Research Foundation of Anhui Medical University (2011xkj011), Anhui province Nature Science Foundation in University (KJ2012Z158), Young top-notch talent support programs from Anhui Medical University (2012) and Foundation for Key Teacher by Anhui Medical University (2013).

Conflict of interest statement

Authors’ conflict of interest disclosure:

The authors stated that there are no conflicts of interest regarding the publication of this article.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

References

1. Sundy JS, Hershfield MS. Uricase and other novel agents for the management of patients with treatment-failure gout. Curr Rheumatol Rep 2007;9:258–64.10.1007/s11926-007-0041-ySuche in Google Scholar

2. Dalbeth N, Haskard DO. Mechanisms of inflammation in gout. Rheumatology (Oxford) 2005;44:1090–6.10.1093/rheumatology/keh640Suche in Google Scholar

3. Yoo TW, Sung KC, Shin HS, Kim BJ, Kim BS, Kang JH, et al. Relationship between serum uric acid concentration and insulin resistance and metabolic syndrome. Circ J 2005;69:928–33.10.1253/circj.69.928Suche in Google Scholar

4. Lin SD, Tsai DH, Hsu SR. Association between serum uric acid level and components of the metabolic syndrome. J Chin Med Assoc 2006;69:512–6.10.1016/S1726-4901(09)70320-XSuche in Google Scholar

5. Mikuls TR, Farrar JT, Bilker WB, Fernandes S, Schumacher HR Jr., Saag KG. Gout epidemiology: results from the UK General Practice Research Database, 1990–1999. Ann Rheum Dis 2005;64:267–72.10.1136/ard.2004.024091Suche in Google Scholar PubMed PubMed Central

6. Conen D, Wietlisbach V, Bovet P, Shamlaye C, Riesen W, Paccaud F, et al. Prevalence of hyperuricemia and relation of serum uric acid with cardiovascular risk factors in a developing country. BMC Public Health 2004;4:9.10.1186/1471-2458-4-9Suche in Google Scholar PubMed PubMed Central

7. Saag KG, Choi H. Epidemiology, risk factors, and lifestyle modifications for gout. Arthritis Res Ther 2006;8(Suppl 1):S2.10.1186/ar1907Suche in Google Scholar PubMed PubMed Central

8. Heinig M, Johnson RJ. Role of uric acid in hypertension, renal disease, and metabolic syndrome. Cleve Clin J Med 2006;73:1059–64.10.3949/ccjm.73.12.1059Suche in Google Scholar PubMed

9. Kodama S, Saito K, Yachi Y, Asumi M, Sugawara A, Totsuka K, et al. Association between serum uric acid and development of type 2 diabetes. Diabetes Care 2009;32:1737–42.10.2337/dc09-0288Suche in Google Scholar PubMed PubMed Central

10. Nakanishi N, Okamoto M, Yoshida H, Matsuo Y, Suzuki K, Tatara K. Serum uric acid and risk for development of hypertension and impaired fasting glucose or type II diabetes in Japanese male office workers. Eur J Epidemiol 2003;18:523–30.10.1023/A:1024600905574Suche in Google Scholar

11. Rho YH, Choi SJ, Lee YH, Ji JD, Choi KM, Baik SH, et al. The prevalence of metabolic syndrome in patients with gout: a multicenter study. J Korean Med Sci 2005;20:1029–33.10.3346/jkms.2005.20.6.1029Suche in Google Scholar

12. Choi HK, Ford ES, Li C, Curhan G. Prevalence of the metabolic syndrome in patients with gout: the Third National Health and Nutrition Examination Survey. Arthritis Rheum 2007;57: 109–15.10.1002/art.22466Suche in Google Scholar

13. Nakagawa T, Hu H, Zharikov S, Tuttle KR, Short RA, Glushakova O, et al. A causal role for uric acid in fructose-induced metabolic syndrome. Am J Physiol Renal Physiol 2006;290:F625–31.10.1152/ajprenal.00140.2005Suche in Google Scholar

14. Choi HK, Mount DB, Reginato AM. Pathogenesis of gout. Ann Intern Med 2005;143:499–516.10.7326/0003-4819-143-7-200510040-00009Suche in Google Scholar

15. Dehghan A, Kottgen A, Yang Q, Hwang SJ, Kao WL, Rivadeneira F, et al. Association of three genetic loci with uric acid concentration and risk of gout: a genome-wide association study. Lancet 2008;372:1953–61.10.1016/S0140-6736(08)61343-4Suche in Google Scholar

16. Yang Q, Guo CY, Cupples LA, Levy D, Wilson PW, Fox CS. Genome-wide search for genes affecting serum uric acid levels: the Framingham Heart Study. Metabolism 2005;54: 1435–41.10.1016/j.metabol.2005.05.007Suche in Google Scholar PubMed

17. Sulem P, Gudbjartsson DF, Walters GB, Helgadottir HT, Helgason A, Gudjonsson SA, et al. Identification of low-frequency variants associated with gout and serum uric acid levels. Nat Genet 2011;43:1127–30.10.1038/ng.972Suche in Google Scholar PubMed

18. Riches PL, Wright AF, Ralston SH. Recent insights into the pathogenesis of hyperuricaemia and gout. Hum Mol Genet 2009;18:R177–84.10.1093/hmg/ddp369Suche in Google Scholar PubMed

19. Choi HK, Zhu Y, Mount DB. Genetics of gout. Curr Opin Rheumatol 2010;22:144–51.10.1097/BOR.0b013e32833645e8Suche in Google Scholar PubMed

20. Chamberlain PD, Jennings KH, Paul F, Cordell J, Berry A, Holmes SD, et al. The tissue distribution of the human beta3-adrenoceptor studied using a monoclonal antibody: direct evidence of the beta3-adrenoceptor in human adipose tissue, atrium and skeletal muscle. Int J Obes Relat Metab Disord 1999;23:1057–65.10.1038/sj.ijo.0801039Suche in Google Scholar PubMed

21. Perfetti R, Hui H, Chamie K, Binder S, Seibert M, McLenithan J, et al. Pancreatic beta-cells expressing the Arg64 variant of the beta(3)-adrenergic receptor exhibit abnormal insulin secretory activity. J Mol Endocrinol 2001;27:133–44.10.1677/jme.0.0270133Suche in Google Scholar

22. Strosberg AD. Association of beta 3-adrenoceptor polymorphism with obesity and diabetes: current status. Trends Pharmacol Sci 1997;18:449–54.10.1016/S0165-6147(97)01133-4Suche in Google Scholar

23. Strosberg AD. Structure and function of the beta 3-adrenergic receptor. Annu Rev Pharmacol Toxicol 1997;37:421–50.10.1146/annurev.pharmtox.37.1.421Suche in Google Scholar PubMed

24. Widen E, Lehto M, Kanninen T, Walston J, Shuldiner AR, Groop LC. Association of a polymorphism in the beta 3-adrenergic-receptor gene with features of the insulin resistance syndrome in Finns. N Engl J Med 1995;333:348–51.10.1056/NEJM199508103330604Suche in Google Scholar PubMed

25. Chang HY, Pan WH, Yeh WT, Tsai KS. Hyperuricemia and gout in Taiwan: results from the Nutritional and Health Survey in Taiwan (1993–96). J Rheumatol 2001;28:1640–6.Suche in Google Scholar

26. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972;18:499–502.10.1093/clinchem/18.6.499Suche in Google Scholar

27. Bea JW, Lohman TG, Cussler EC, Going SB, Thompson PA. Lifestyle modifies the relationship between body composition and adrenergic receptor genetic polymorphisms, ADRB2, ADRB3 and ADRA2B: a secondary analysis of a randomized controlled trial of physical activity among postmenopausal women. Behav Genet 2010;40:649–59.10.1007/s10519-010-9361-1Suche in Google Scholar PubMed PubMed Central

28. Clement K, Vaisse C, Manning BS, Basdevant A, Guy-Grand B, Ruiz J, et al. Genetic variation in the beta 3-adrenergic receptor and an increased capacity to gain weight in patients with morbid obesity. N Engl J Med 1995;333:352–4.10.1056/NEJM199508103330605Suche in Google Scholar PubMed

29. Walston J, Silver K, Bogardus C, Knowler WC, Celi FS, Austin S, et al. Time of onset of non-insulin-dependent diabetes mellitus and genetic variation in the beta 3-adrenergic-receptor gene. N Engl J Med 1995;333:343–7.10.1056/NEJM199508103330603Suche in Google Scholar PubMed

30. Pietri-Rouxel F, St John Manning B, Gros J, Strosberg AD. The biochemical effect of the naturally occurring Trp64–>Arg mutation on human beta3-adrenoceptor activity. Eur J Biochem 1997;247:1174–9.10.1111/j.1432-1033.1997.01174.xSuche in Google Scholar PubMed

31. Matsushita Y, Yokoyama T, Yoshiike N, Matsumura Y, Date C, Kawahara K, et al. The Trp(64)Arg polymorphism of the beta(3)-adrenergic receptor gene is not associated with body weight or body mass index in Japanese: a longitudinal analysis. J Clin Endocrinol Metab 2003;88:5914–20.10.1210/jc.2003-030655Suche in Google Scholar PubMed

32. Silver K, Mitchell BD, Walston J, Sorkin JD, Stern MP, Roth J, et al. TRP64ARG beta 3-adrenergic receptor and obesity in Mexican Americans. Hum Genet 1997;101:306–11.10.1007/s004390050633Suche in Google Scholar PubMed

33. Borkman M, Storlien LH, Pan DA, Jenkins AB, Chisholm DJ, Campbell LV. The relation between insulin sensitivity and the fatty-acid composition of skeletal-muscle phospholipids. N Engl J Med 1993;328:238–44.10.1056/NEJM199301283280404Suche in Google Scholar PubMed

34. Storlien LH, Jenkins AB, Chisholm DJ, Pascoe WS, Khouri S, Kraegen EW. Influence of dietary fat composition on development of insulin resistance in rats. Relationship to muscle triglyceride and omega-3 fatty acids in muscle phospholipid. Diabetes 1991;40:280–9.10.2337/diab.40.2.280Suche in Google Scholar PubMed

35. Wang B, Meng D, Wang J, Jia Z, Zhoub S, Liu S, et al. Positive correlation between beta-3-adrenergic receptor (ADRB3) gene and gout in a Chinese male population. J Rheumatol 2011;38:738–40.10.3899/jrheum.101037Suche in Google Scholar PubMed

36. Morcillo S, Rojo-Martinez G, Martin-Nunez GM, Gomez-Zumaquero JM, Garcia-Fuentes E, Ruiz de Adana M, et al. Trp64Arg polymorphism of the ADRB3 gene predicts hyperuricemia risk in a population from southern Spain. J Rheumatol 2010;37:417–21.10.3899/jrheum.090637Suche in Google Scholar PubMed

37. Doherty M. New insights into the epidemiology of gout. Rheumatology (Oxford) 2009;48(Suppl 2):ii2–8.10.1093/rheumatology/kep086Suche in Google Scholar PubMed

Received: 2012-9-10
Accepted: 2013-4-5
Published Online: 2013-05-13
Published in Print: 2013-09-01

©2013 by Walter de Gruyter Berlin Boston

Artikel in diesem Heft

  1. Masthead
  2. Masthead
  3. Editorials
  4. What is a biomarker? It’s time for a renewed definition
  5. Biomarker research and leading causes of death worldwide: a rather feeble relationship
  6. Thiosulfate in urine: new hope or new failure of a biomarker for prostate cancer?
  7. Review
  8. Acute coronary syndrome – the present and future role of biomarkers1)
  9. Mini Review
  10. Advance in molecular diagnostic tools for hepatitis B virus detection
  11. Opinion Paper
  12. Standardization and analytical goals for glycated hemoglobin measurement
  13. Guidelines and Recommendations
  14. Proposal for the use in emergency departments of cardiac troponins measured with the latest generation methods in patients with suspected acute coronary syndrome without persistent ST-segment elevation
  15. General Clinical Chemistry and Laboratory Medicine
  16. Current status of verification practices in clinical biochemistry in Spain
  17. Two site evaluation of the performance of a new generation point-of-care glucose meter for use in a neonatal intensive care unit
  18. Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population
  19. Quantification of vancomycin in human serum by LC-MS/MS
  20. Automated indirect immunofluorescence antinuclear antibody analysis is a standardized alternative for visual microscope interpretation
  21. Autocorrelation and cross-correlation between hCGβ and PAPP-A in repeated sampling during first trimester of pregnancy
  22. Platelet oxidative stress and systemic inflammation in chronic spontaneous urticaria
  23. Reference Values
  24. Establishment of reference values for novel urinary biomarkers for renal damage in the healthy population: are age and gender an issue?
  25. Risks of mortality associated with common laboratory tests: a novel, simple and meaningful way to set decision limits from data available in the Electronic Medical Record
  26. Cancer Diagnostics
  27. Cancer antigen 125, human epididymis 4, kallikrein 6, osteopontin and soluble mesothelin-related peptide immunocomplexed with immunoglobulin M in epithelial ovarian cancer diagnosis
  28. Thiosulfate in urine as a facilitator in the diagnosis of prostate cancer for patients with prostate-specific antigen less or equal 10 ng/mL
  29. Anemia and iron biomarkers in patients with early breast cancer. Diagnostic value of hepcidin and soluble transferrin receptor quantification1)
  30. Sensitive detection of EML4-ALK fusion oncoprotein of lung cancer by in situ proximity ligation assay
  31. Re-evaluation of laboratory predictors of response to current anemia treatment regimens of erythropoiesis stimulating agents in cancer patients
  32. Cardiovascular Diseases
  33. Evaluation of four sensitive troponin assays for risk assessment in acute coronary syndromes using a new clinically oriented approach for comparison of assays
  34. A combined index of cardiac biomarkers as a risk factor for early cardiovascular mortality in hemodialysis patients
  35. Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability
  36. Letters to the Editors
  37. Exploring the relationship between serum biomarkers, acute intracerebral changes and outcome after severe traumatic brain injury (TBI)
  38. Laboratory false-positive results: a clinician responsibility or a shared responsibility with requesting clinicians?
  39. The one hour lactose tolerance test
  40. High concentration of IgM-κ paraprotein causes over-estimation of serum total protein by certain biuret method
  41. Determining calculated free testosterone reference intervals in a normal adult male population
  42. Alveolar neopterin, procalcitonin, and IL-6 in relation to serum levels and severity of lung injury in ARDS
  43. Falsely elevated cobalamin concentration in multiple assays in a patient with pernicious anemia: a case study
  44. Leading Figures in Laboratory Medicine
  45. Research forever – Klaus Jung
https://doi.org/10.1515/cclm-2012-0592
Schlagwörter für diesen Artikel
association analysis; β3-adrenergic receptor; genetic polymorphism; hyperuricemia; serum uric acid

Artikel in diesem Heft

  1. Masthead
  2. Masthead
  3. Editorials
  4. What is a biomarker? It’s time for a renewed definition
  5. Biomarker research and leading causes of death worldwide: a rather feeble relationship
  6. Thiosulfate in urine: new hope or new failure of a biomarker for prostate cancer?
  7. Review
  8. Acute coronary syndrome – the present and future role of biomarkers1)
  9. Mini Review
  10. Advance in molecular diagnostic tools for hepatitis B virus detection
  11. Opinion Paper
  12. Standardization and analytical goals for glycated hemoglobin measurement
  13. Guidelines and Recommendations
  14. Proposal for the use in emergency departments of cardiac troponins measured with the latest generation methods in patients with suspected acute coronary syndrome without persistent ST-segment elevation
  15. General Clinical Chemistry and Laboratory Medicine
  16. Current status of verification practices in clinical biochemistry in Spain
  17. Two site evaluation of the performance of a new generation point-of-care glucose meter for use in a neonatal intensive care unit
  18. Trp64Arg (rs4994) polymorphism of β3-adrenergic receptor gene is associated with hyperuricemia in a Chinese male population
  19. Quantification of vancomycin in human serum by LC-MS/MS
  20. Automated indirect immunofluorescence antinuclear antibody analysis is a standardized alternative for visual microscope interpretation
  21. Autocorrelation and cross-correlation between hCGβ and PAPP-A in repeated sampling during first trimester of pregnancy
  22. Platelet oxidative stress and systemic inflammation in chronic spontaneous urticaria
  23. Reference Values
  24. Establishment of reference values for novel urinary biomarkers for renal damage in the healthy population: are age and gender an issue?
  25. Risks of mortality associated with common laboratory tests: a novel, simple and meaningful way to set decision limits from data available in the Electronic Medical Record
  26. Cancer Diagnostics
  27. Cancer antigen 125, human epididymis 4, kallikrein 6, osteopontin and soluble mesothelin-related peptide immunocomplexed with immunoglobulin M in epithelial ovarian cancer diagnosis
  28. Thiosulfate in urine as a facilitator in the diagnosis of prostate cancer for patients with prostate-specific antigen less or equal 10 ng/mL
  29. Anemia and iron biomarkers in patients with early breast cancer. Diagnostic value of hepcidin and soluble transferrin receptor quantification1)
  30. Sensitive detection of EML4-ALK fusion oncoprotein of lung cancer by in situ proximity ligation assay
  31. Re-evaluation of laboratory predictors of response to current anemia treatment regimens of erythropoiesis stimulating agents in cancer patients
  32. Cardiovascular Diseases
  33. Evaluation of four sensitive troponin assays for risk assessment in acute coronary syndromes using a new clinically oriented approach for comparison of assays
  34. A combined index of cardiac biomarkers as a risk factor for early cardiovascular mortality in hemodialysis patients
  35. Prognostic utility of biochemical markers of cardiovascular risk: impact of biological variability
  36. Letters to the Editors
  37. Exploring the relationship between serum biomarkers, acute intracerebral changes and outcome after severe traumatic brain injury (TBI)
  38. Laboratory false-positive results: a clinician responsibility or a shared responsibility with requesting clinicians?
  39. The one hour lactose tolerance test
  40. High concentration of IgM-κ paraprotein causes over-estimation of serum total protein by certain biuret method
  41. Determining calculated free testosterone reference intervals in a normal adult male population
  42. Alveolar neopterin, procalcitonin, and IL-6 in relation to serum levels and severity of lung injury in ARDS
  43. Falsely elevated cobalamin concentration in multiple assays in a patient with pernicious anemia: a case study
  44. Leading Figures in Laboratory Medicine
  45. Research forever – Klaus Jung
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 30.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cclm-2012-0592/html?lang=de
Button zum nach oben scrollen