Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Genetic variants of cGMP-dependent protein kinase genes and salt sensitivity of blood pressure: the GenSalt study

Abstract

Genetic mechanisms involved in the susceptibility to salt sensitivity have not been completely clarified. This study aimed to comprehensively examine the association between genetic variants in the cyclic guanosine monophosphate (cGMP)-dependent protein kinase (PKG/PRKG) genes and blood pressure (BP) responses to dietary sodium intervention in a Chinese population. A 7-day low-sodium intervention followed by a 7-day high-sodium intervention was conducted among 1906 Han participants from rural areas of northern China. Nine BP measurements were obtained at baseline and each intervention using a random-zero sphygmomanometer. Linear mixed-effect models were used to assess the additive association of 213 tag single-nucleotide polymorphisms (SNPs) in two PRKG genes (PRKG1 and PRKG2) with salt sensitivity phenotypes. Gene-based analyses were conducted using the truncated product method. The Bonferroni method was used to adjust for multiple testing. Mean systolic BP response to low-sodium intervention significantly decreased with the number of minor T allele of marker rs10997916 in PRKG1 (P = 2.4 × 10−5). Mean systolic BP responses (95% confidence interval) among those with genotypes CC, CT, and TT were −5.6 (−6.0, −5.3), −3.7 (−4.7, −2.8), and −1.3 (−4.6, 2.0) mmHg, respectively, during the low-sodium intervention. Gene-based analyses demonstrated that PRKG1 was significantly associated with systolic BP response to low-sodium intervention (P = 1.2 × 10−3), whereas PRKG2 was nominally significantly associated with diastolic BP responses to high-sodium intervention (P = 2.6 × 10−2). The current study suggested a significant association of genetic variants in the PRKG genes with variation of BP response to dietary sodium intake in Han Chinese population. These novel findings merit further replication in future.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Williams GH, Hollenberg NK. Non-modulating hypertension. A subset of sodium-sensitive hypertension. Hypertension. 1991;17:I81–85.

    Article  CAS  Google Scholar 

  2. Hurwitz S, Fisher ND, Ferri C, Hopkins PN, Williams GH, Hollenberg NK. Controlled analysis of blood pressure sensitivity to sodium intake: interactions with hypertension type. J Hypertens. 2003;21:951–9.

    Article  CAS  Google Scholar 

  3. Elijovich F, Weinberger MH, Anderson CA, Appel LJ, Bursztyn M, Cook NR, et al. Salt sensitivity of blood pressure: a scientific statement from the American Heart Association. Hypertension. 2016;68:e7–e46.

    Article  CAS  Google Scholar 

  4. Gu D, Rice T, Wang S, Yang W, Gu C, Chen CS, et al. Heritability of blood pressure responses to dietary sodium and potassium intake in a Chinese population. Hypertension. 2007;50:116–22.

    Article  CAS  Google Scholar 

  5. Hofmann F, Wegener JW. cGMP-dependent protein kinases (cGK). Methods Mol Biol. 2013;1020:17–50.

    Article  CAS  Google Scholar 

  6. Orstavik S, Natarajan V, Tasken K, Jahnsen T, Sandberg M. Characterization of the human gene encoding the type I alpha and type I beta cGMP-dependent protein kinase (PRKG1). Genomics. 1997;42:311–8.

    Article  CAS  Google Scholar 

  7. Ignarro LJ, Kadowitz PJ. The pharmacological and physiological role of cyclic GMP in vascular smooth muscle relaxation. Annu Rev Pharmacol Toxicol. 1985;25:171–91.

    Article  CAS  Google Scholar 

  8. Schopfer FJ, Baker PR, Freeman BA. NO-dependent protein nitration: a cell signaling event or an oxidative inflammatory response? Trends Biochem Sci. 2003;28:646–54.

    Article  CAS  Google Scholar 

  9. Hofmann F. The biology of cyclic GMP-dependent protein kinases. J Biol Chem. 2005;280:1–4.

    Article  CAS  Google Scholar 

  10. Sausbier M, Schubert R, Voigt V, Hirneiss C, Pfeifer A, Korth M, et al. Mechanisms of NO/cGMP-dependent vasorelaxation. Circ Res. 2000;87:825–30.

    Article  CAS  Google Scholar 

  11. Citterio L, Ferrandi M, Delli Carpini S, Simonini M, Kuznetsova T, Molinari I, et al. cGMP-dependent protein kinase 1 polymorphisms underlie renal sodium handling impairment. Hypertension. 2013;62:1027–33.

    Article  CAS  Google Scholar 

  12. Schlossmann J, Ammendola A, Ashman K, Zong X, Huber A, Neubauer G, et al. Regulation of intracellular calcium by a signalling complex of IRAG, IP3 receptor and cGMP kinase Ibeta. Nature. 2000;404:197–201.

    Article  CAS  Google Scholar 

  13. Surks HK, Mochizuki N, Kasai Y, Georgescu SP, Tang KM, Ito M, et al. Regulation of myosin phosphatase by a specific interaction with cGMP- dependent protein kinase Ialpha. Science. 1999;286:1583–7.

    Article  CAS  Google Scholar 

  14. Sauzeau V, Rolli-Derkinderen M, Marionneau C, Loirand G, Pacaud P. RhoA expression is controlled by nitric oxide through cGMP-dependent protein kinase activation. J Biol Chem. 2003;278:9472–80.

    Article  CAS  Google Scholar 

  15. Sauzeau V, Le Jeune H, Cario-Toumaniantz C, Smolenski A, Lohmann SM, Bertoglio J, et al. Cyclic GMP-dependent protein kinase signaling pathway inhibits RhoA-induced Ca2+ sensitization of contraction in vascular smooth muscle. J Biol Chem. 2000;275:21722–9.

    Article  CAS  Google Scholar 

  16. Tang KM, Wang GR, Lu P, Karas RH, Aronovitz M, Heximer SP, et al. Regulator of G-protein signaling-2 mediates vascular smooth muscle relaxation and blood pressure. Nat Med. 2003;9:1506–12.

    Article  CAS  Google Scholar 

  17. Wagner C, Pfeifer A, Ruth P, Hofmann F, Kurtz A. Role of cGMP-kinase II in the control of renin secretion and renin expression. J Clin Invest. 1998;102:1576–82.

    Article  CAS  Google Scholar 

  18. Gambaryan S, Butt E, Marcus K, Glazova M, Palmetshofer A, Guillon G, et al. cGMP-dependent protein kinase type II regulates basal level of aldosterone production by zona glomerulosa cells without increasing expression of the steroidogenic acute regulatory protein gene. J Biol Chem. 2003;278:29640–8.

    Article  CAS  Google Scholar 

  19. Pfeifer A, Klatt P, Massberg S, Ny L, Sausbier M, Hirneiss C, et al. Defective smooth muscle regulation in cGMP kinase I-deficient mice. EMBO J. 1998;17:3045–51.

    Article  CAS  Google Scholar 

  20. Koeppen M, Feil R, Siegl D, Feil S, Hofmann F, Pohl U, et al. cGMP-dependent protein kinase mediates NO- but not acetylcholine-induced dilations in resistance vessels in vivo. Hypertension. 2004;44:952–5.

    Article  CAS  Google Scholar 

  21. Michael SK, Surks HK, Wang Y, Zhu Y, Blanton R, Jamnongjit M, et al. High blood pressure arising from a defect in vascular function. Proc Natl Acad Sci USA. 2008;105:6702–7.

    Article  CAS  Google Scholar 

  22. Citterio L, Simonini M, Zagato L, Salvi E, Delli Carpini S, Lanzani C, et al. Genes involved in vasoconstriction and vasodilation system affect salt-sensitive hypertension. PLoS ONE. 2011;6:e19620.

    Article  CAS  Google Scholar 

  23. Liu Z, Qi H, Liu B, Liu K, Wu J, Cao H, et al. Genetic susceptibility to salt-sensitive hypertension in a Han Chinese population: a validation study of candidate genes. Hypertens Res. 2017;40:876–84.

    Article  CAS  Google Scholar 

  24. Zhao Q, Wang L, Yang W, Chen S, Huang J, Fan Z, et al. Interactions among genetic variants from contractile pathway of vascular smooth muscle cell in essential hypertension susceptibility of Chinese Han population. Pharmacogenet Genomics. 2008;18:459–66.

    Article  CAS  Google Scholar 

  25. GenSalt Collaborative Research Group. GenSalt: rationale, design, methods and baseline characteristics of study participants. J Hum Hypertens. 2007;21:639–46.

  26. He J, Gu D, Chen J, Jaquish CE, Rao DC, Hixson JE, et al. Gender difference in blood pressure responses to dietary sodium intervention in the GenSalt study. J Hypertens. 2009;27:48–54.

    Article  CAS  Google Scholar 

  27. Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, et al. Human blood pressure determination by sphygmomanometry. Circulation. 1993;88:2460–70.

    Article  CAS  Google Scholar 

  28. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.

    Article  CAS  Google Scholar 

  29. Using JDS, PROC MIXED SAS. to fit multilevel models, hierarchical models, and individual growth models. J Educ Behav Stat. 1998;23:323–55.

    Article  Google Scholar 

  30. Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40:D930–934.

    Article  CAS  Google Scholar 

  31. Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012;22:1790–7.

    Article  CAS  Google Scholar 

  32. Xu Z, Taylor JA. SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies. Nucleic Acids Res. 2009;37:W600–605.

    Article  CAS  Google Scholar 

  33. Zaykin DV, Zhivotovsky LA, Westfall PH, Weir BS. Truncated product method for combining P-values. Genet Epidemiol. 2002;22:170–85.

    Article  CAS  Google Scholar 

  34. Li MX, Gui HS, Kwan JS, Sham PC. GATES: a rapid and powerful gene-based association test using extended Simes procedure. Am J Hum Genet. 2011;88:283–93.

    Article  CAS  Google Scholar 

  35. Dickson SP, Wang K, Krantz I, Hakonarson H, Goldstein DB. Rare variants create synthetic genome-wide associations. PLoS Biol. 2010;8:e1000294.

    Article  Google Scholar 

Download references

Acknowledgements

This study is supported by the National Natural Science Foundation of China (GRANT NO. 91439202, 81570386, 91643208, 81773537, 81600332) and the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (grants no. 2017-I2M-1–004, 2016-I2M-2–001, and 2016-I2M-1-011). The Genetic Epidemiology Network of Salt Sensitivity (GenSalt) is supported by a cooperative agreement project grant (U01HL072507, R01HL087263, and R01HL090682) from the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiangfeng Lu.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Supplementary Table 1. Characteristics of the PRKG1 and PRKG2 genes.

Supplementary Table 2. Quality control information of the 213 tagged SNPs in PRKG1 and PRKG2.

Supplementary Table 3. Characteristics of 1 906 study participants.

Supplementary Table 4. Characteristics of probands and their family members.

41371_2018_99_MOESM5_ESM.doc

Supplementary Table 5. P values of single SNP association analysis of the 213 SNPs in PRKG1 and PRKG2 with BP responses to dietary sodium intervention.

41371_2018_99_MOESM6_ESM.doc

Supplementary Table 6. Gene-based associations of PRKG1 and PRKG2 with BP responses to dietary sodium intervention after removing the lead marker.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, C., Hu, Z., Liu, F. et al. Genetic variants of cGMP-dependent protein kinase genes and salt sensitivity of blood pressure: the GenSalt study. J Hum Hypertens 33, 62–68 (2019). https://doi.org/10.1038/s41371-018-0099-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41371-018-0099-1

Search

Quick links