CLINICAL RESEARCH
CRP single nucleotide polymorphism (rs1800947) and nutritional status in hemodialysis patients
1
Department of Internal Medicine, Nephrology and Transplantation Medicine, Centre of Postgraduate Medical Education, CSK MSWiA, Warsaw, Poland
2
Department of Surgical Research and Transplantology, Medical Research Center, Polish Academy of Sciences, Warsaw, Poland
3
Department of Nephrology, Hypertension and Internal Diseases, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland
4
2nd Department of Nephrology and Hypertension with Dialysis Unit, Medical University of Białystok, Białystok, Poland
Submission date: 2020-01-07
Final revision date: 2020-04-08
Acceptance date: 2020-04-08
Publication date: 2020-05-15
Arch Med Sci Civil Dis 2020;5(1):35-40
KEYWORDS
C-reactive proteinsingle nucleotide polymorphismchronic kidney diseasehemodialysisnutritional status
TOPICS
ABSTRACT
Introduction:
C-reactive protein (CRP) is an acute phase protein and was shown to be a predictor for all-cause and cardiovascular death in end stage renal disease patients. C-reactive protein is a member of the pentraxin family and plays a key role in the innate immune response. Several single nucleotide polymorphisms (SNP) associated with plasma CRP levels have been identified. This study aimed to evaluate the frequency of the rs1800947 polymorphism in the human CRP gene in maintenance hemodialysis (HD) patients, and to determine whether it is related to nutritional status.
Material and methods:
We investigated 99 patients maintained on chronic hemodialysis (HD). 109 apparently healthy volunteers served as a control group. HD subjects were followed for 12 months. Anthropometric measurements were performed, the malnutrition-inflammation scale (MIS) score was determined, and blood samples were obtained within 1 month of enrollment and at 3 and 12 months of follow-up. rs1800947 SNP in the CRP gene was genotyped using restriction fragment length polymorphism-polymerase chain reaction.
Results:
There were no significant differences in the investigated genotype frequencies between HD patients and controls. Moreover, there was no influence of genotype on anthropometric and laboratory indices of nutritional status and MIS score.
Conclusions:
The results of this study indicate that the rs1800947 single nucleotide polymorphism in the CRP gene does not seem to correlate with nutritional status in hemodialysis patients.
C-reactive protein (CRP) is an acute phase protein and was shown to be a predictor for all-cause and cardiovascular death in end stage renal disease patients. C-reactive protein is a member of the pentraxin family and plays a key role in the innate immune response. Several single nucleotide polymorphisms (SNP) associated with plasma CRP levels have been identified. This study aimed to evaluate the frequency of the rs1800947 polymorphism in the human CRP gene in maintenance hemodialysis (HD) patients, and to determine whether it is related to nutritional status.
Material and methods:
We investigated 99 patients maintained on chronic hemodialysis (HD). 109 apparently healthy volunteers served as a control group. HD subjects were followed for 12 months. Anthropometric measurements were performed, the malnutrition-inflammation scale (MIS) score was determined, and blood samples were obtained within 1 month of enrollment and at 3 and 12 months of follow-up. rs1800947 SNP in the CRP gene was genotyped using restriction fragment length polymorphism-polymerase chain reaction.
Results:
There were no significant differences in the investigated genotype frequencies between HD patients and controls. Moreover, there was no influence of genotype on anthropometric and laboratory indices of nutritional status and MIS score.
Conclusions:
The results of this study indicate that the rs1800947 single nucleotide polymorphism in the CRP gene does not seem to correlate with nutritional status in hemodialysis patients.
REFERENCES (37)
1.
Hill NR, Fatoba ST, Oke JL, et al. Global prevalence of chronic kidney disease – a systematic review and meta-analysis. PLoS One 2016; 11: e0158765.
2.
GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544.
3.
Naylor KL, Kim SJ, McArthur E, Garg AX, McCallum MK, Knoll GA. Mortality in incident maintenance dialysis patients versus incident solid organ cancer patients: a population-based cohort. Am J Kidney Dis 2019; 73: 765-76.
4.
Leavey SF, Strawderman RL, Jones CA, Port FK, Held PJ. Simple nutritional indicators as independent predictors of mortality in hemodialysis patients. Am J Kidney Dis 1998; 31: 997-1006.
5.
Qureshi AR, Alvestrand A, Divino-Filho JC, et al. Inflammation, malnutrition, and cardiac disease as predictors of mortality in hemodialysis patients. J Am Soc Nephrol 2002; 13 Suppl 1: S28-36.
6.
Jankowska M, Cobo G, Lindholm B, Stenvinkel P. Inflammation and protein-energy wasting in the uremic milieu. Contrib Nephrol 2017; 191: 58-71.
7.
Ikizler TA, Wingard RL, Harvell J, Shyr Y, Hakim RM. Association of morbidity with markers of nutrition and inflammation in chronic hemodialysis patients: a prospective study. Kidney Int 1999; 55: 1945-51.
8.
Sezer S, Ozdemir FN, Arat Z, Turan M, Haberal M. Triad of malnutrition, inflammation, and atherosclerosis in hemodialysis patients. Nephron 2002; 91: 456-62.
9.
Zimmermann J, Herrlinger S, Pruy A, Metzger T, Wanner C. Inflammation enhances cardiovascular risk and mortality in hemodialysis patients. Kidney Int 1999; 55: 648-58.
10.
Owen WF, Lowrie EG. C-reactive protein as an outcome predictor for maintenance hemodialysis patients. Kidney Int 1998; 54: 627-36.
11.
Feldreich T, Nowak C, Fall T, et al. Circulating proteins as predictors of cardiovascular mortality in end-stage renal disease. J Nephrol 2019; 32: 111-9.
12.
Bologa RM, Levine DM, Parker TS, et al. Interleukin-6 predicts hypoalbuminemia, hypocholesterolemia, and mortality in hemodialysis patients. Am J Kidney Dis 1998; 32: 107-14.
13.
Sharma R, Agrawal S, Saxena A, Sharma RK. Association of IL-6, IL-10, and TNF-alpha gene polymorphism with malnutrition inflammation syndrome and survival among end stage renal disease patients. J Interferon Cytokine Res 2013; 33: 384-91.
14.
Balakrishnan VS, Guo D, Rao M, et al. Cytokine gene polymorphisms in hemodialysis patients: association with comorbidity, functionality, and serum albumin. Kidney Int 2004; 65: 1449-60.
15.
Gabay C, Kushner I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 1999; 340: 448-54.
16.
Cao H, Hegele RA. Human C-reactive protein (CRP) 1059G/C polymorphism. J Hum Genet 2000; 45: 100-1.
18.
Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH. A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis 2001; 38: 1251-63.
19.
Tanner JM, Whitehouse RH. The Harpenden skinfold caliper. Am J Phys Anthropol 1955; 13: 743-6.
20.
Daugirdas JT. Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error. J Am Soc Nephrol 1993; 4: 1205-13.
21.
Preisser JS, Lohman KK, Rathouz PJ. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random. Stat Med 2002; 21: 3035-54.
22.
Pan W. Akaike’s information criterion in generalized estimating equations. Biometrics 2001; 57: 120-5.
23.
R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2019.
24.
Crawford DC, Sanders CL, Qin X, et al. Genetic variation is associated with C-reactive protein levels in the Third National Health and Nutrition Examination Survey. Circulation 2006; 114: 2458-65.
25.
Zee RY, Ridker PM. Polymorphism in the human C-reactive protein (CRP) gene, plasma concentrations of CRP, and the risk of future arterial thrombosis. Atherosclerosis 2002; 162: 217-9.
26.
Dai DF, Chiang FT, Lin JL, et al. Human C-reactive protein (CRP) gene 1059G>C polymorphism is associated with plasma CRP concentration in patients receiving coronary angiography. J Formos Med Assoc 2007; 106: 347-54.
27.
Eklund C, Lehtimäki T, Hurme M. Epistatic effect of C-reactive protein (CRP) single nucleotide polymorphism (SNP) +1059 and interleukin-1B SNP +3954 on CRP concentration in healthy male blood donors. Int J Immunogenet 2005; 32: 229-32.
28.
Suk Danik J, Chasman DI, Cannon CP, et al. Influence of genetic variation in the C-reactive protein gene on the inflammatory response during and after acute coronary ischemia. Ann Hum Genet 2006; 70: 705-16.
29.
Rydzewska G, Degowska M, Kierzkiewicz M, et al. Polymorphism in the human C-reactive protein (CRP) gene in acute pancreatitis. Gastroenterology 2004; 126: A85.
30.
Zhu Y, Hu SC, Zheng PW, et al. Association between CPR-related genetic variants and risk of ischemic stroke: a nested case-control study. Neurol Res 2019; 41: 1090-6.
31.
Wang S, Zhong H, Lu M, et al. Higher serum C reactive protein determined C reactive protein single-nucleotide polymorphisms are involved in inherited depression. Psychiatry Investig 2018; 15: 824-8.
32.
Brull DJ, Serrano N, Zito F, et al. Human CRP gene polymorphism influences CRP levels: implications for the prediction and pathogenesis of coronary heart disease. Arterioscler Thromb Vasc Biol 2003; 23: 2063-9.
33.
Kalantar-Zadeh K, Ikizler TA, Block G, Avram MM, Kopple JD. Malnutrition-inflammation complex syndrome in dialysis patients: causes and consequences. Am J Kidney Dis 2003; 42: 864-81.
34.
Stenvinkel P, Heimbürger O, Paultre F, et al. Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int 1999; 55: 1899-911.
35.
Kalantar-Zadeh K, Block G, Humphreys MH, Kopple JD. Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patients. Kidney Int 2003; 63: 793-808.
36.
Swainson MG, Batterham AM, Tsakirides C, Rutherford ZH, Hind K. Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables. PLoS One 2017; 12: e0177175.
37.
Delgado C, Chertow GM, Kaysen GA, et al. Associations of body mass index and body fat with markers of inflammation and nutrition among patients receiving hemodialysis. Am J Kidney Dis 2017; 70: 817-25.
| ISSN: | 2451-0637 |
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