Karin Luttropp

CCR5 Deletion Protects Against Inflammation-Associated Mortality in Dialysis Patients

The CC-chemokine receptor 5 (CCR5) is a receptor for various proinflammatory chemokines, and a deletion variant of the CCR5 gene (CCR5 Delta 32) leads to deficiency of the receptor. We hypothesized that CCR5 Delta 32 modulates inflammation-driven mortality in patients with ESRD. We studied the interaction between CCR5 genotype and levels of high-sensitivity C-reactive protein (hsCRP) in 603 incident dialysis patients from the multicenter, prospective NEtherlands COoperative Study on the Adequacy of Dialysis (NECOSAD) cohort. CCR5 genotype and hsCRP levels were both available for 413 patients. During 5 yr of follow-up, 170 patients died; 87 from cardiovascular causes. Compared with the reference group of patients who had the wild-type CCR5 genotype and hsCRP <or= 10 mg/L (n = 225), those carrying the deletion allele with hsCRP <or= 10 mg/L (n = 55) had similar mortality, and those carrying the wild-type genotype with hsCRP > 10 mg/L (n = 108) had an increased risk for mortality (HR: 1.82; 95% CI: 1.29 to 2.58). However, those carrying the deletion allele with hsCRP > 10 mg/L (n = 25) had a mortality rate similar to the reference group; this seemingly protective effect of the CCR5 deletion was even more pronounced for cardiovascular mortality. We replicated these findings in an independent Swedish cohort of 302 ESRD patients. In conclusion, the CCR5 Delta 32 polymorphism attenuates the adverse effects of inflammation on overall and cardiovascular mortality in ESRD.

Physical activity is associated with decreased global DNA methylation in Swedish older individuals.

Physical activity is associated with decreased global DNA methylation in Swedish older individuals

Genetics/Genomics in chronic kidney disease--towards personalized medicine?

The progression rate of chronic kidney disease (CKD) to its terminal stage, end‐stage renal disease (ESRD), and the development and severity of various complications, are at least indirectly influenced by genetic—and epigenetic—factors. For years, scientists have held out hope that the rapidly evolving field of genetics could transform medical diagnosis and treatment, moving beyond a trial‐and‐error approach towards “personalized medicine.” Indeed, there are now signs that the role of genetics and the pursuit of “personalized medicine” in medical care will be a priority for governments during years to come. But the vision of individualized treatment based on a patient’s genetic makeup and other biological markers has yet to materialize in the field of CKD and ESRD. As the toxic uremic environment may render CKD patients more sensitive to the effects of genetic variants, it is likely that genetic factors could be of special importance in this high‐risk population. Therefore, outcome in the CKD population may be improved by establishing individual genetic/epigenetic profiles, thus enabling physicians to design an individualized therapeutic strategy. Personalized medicine based on a more individualized therapy could be applied in, for example, pharmacotherapy (CYP genes), dialysis therapy, and nutritional and lifestyle modifications.

DNA hypermethylation and inflammatory markers in incident Japanese dialysis patients.

Background/Aims: Inflammation is an established mortality risk factor in chronic kidney disease (CKD) patients. Although a previous report showed that uremic Caucasian patients with inflammation had signs of global DNA hypermethylation, it is still unknown whether DNA hypermethylation is linked to inflammatory markers including a marker of bacterial infections in Japanese CKD patients. Methods: In 44 consecutive incident dialysis patients (26 males, mean age 59 ± 12 years) without clinical signs of infection, global DNA methylation was evaluated in peripheral blood DNA using the HpaII/MspI ratio by the luminometric methylation assay method. A lower ratio of HpaII/MspI indicates global DNA hypermethylation. Procalcitonin (PCT), a marker of inflammation due to bacterial infections, was measured using an immunochromatographic assay. Results: The patients were divided into hyper- and hypomethylation groups based on the median value of the HpaII/MspI ratio 0.31 (range 0.29–0.37). Whereas patients in the hypermethylation group had higher ferritin levels [133.0 (51.5–247.3) vs. 59.5 (40.0–119.0) ng/ml; p = 0.046], there were no significant differences in age, gender, diabetes, smoking, anemia or serum albumin levels. However, the HpaII/MspI ratio showed significant negative correlations with PCT (ρ = –0.32, p = 0.035) and ferritin (ρ = –0.33, p = 0.027) in Spearman’s rank test. In a multiple linear regression analysis, PCT and ferritin were associated with a lower HpaII/MspI ratio (R2 = 0.24, p = 0.013). Conclusion: In this study, global DNA hypermethylation was associated with ferritin and, most likely, PCT, suggesting that inflammation induced by subclinical bacterial infection promoted DNA methylation.

Genetic studies in chronic kidney disease: interpretation and clinical applicability.

The tools of modern molecular biology are evolving rapidly, resulting in vastly more efficient approaches to illuminating human genetic variations and their effects on common multifactorial disorders such as chronic kidney disease (CKD). Indeed, candidate gene association studies and genome-wide association studies (GWASs) have generated novel genetic variants in previously unrecognized biological pathways, highlighting disease mechanisms with a potential role in CKD etiology, morbidity and mortality. Nephrologists now need to find ways to make use of these advancements and meet the increasingly stringent requirements for valid study design, data handling and interpretation of genetic studies. Adding to our prior article in this journal, which introduced the basics of genotype-phenotype association studies in CKD, this second article focuses on how to ascertain robust and reproducible findings by applying adequate methodological and statistical approaches to genotype-phenotype studies in CKD populations. Moreover, this review will briefly discuss genotype-based risk prediction, pharmacotherapy, drug target identification and individualized treatment solutions, specifically highlighting potentially important findings in CKD patients. This increased knowledge will hopefully facilitate the exciting transition from conventional clinical medicine to gene-based medicine. However, before this can be accomplished, unsolved issues regarding the complex human genetic architecture as well technical and clinically oriented obstacles will have to be overcome. Additionally, new policies and standardized risk evaluations for genetic testing in the clinical setting will have to be established to guarantee that CKD patients are provided with high-quality genotype-guided counseling that will help to improve their poor outcomes.

Understanding the role of genetic polymorphisms in chronic kidney disease

Although no valid studies clearly indicate increasing or decreasing numbers of incident paediatric patients, the prevalence of chronic kidney disease (CKD) and end-stage renal disease (ESRD) is growing worldwide. This is mainly due to improved access to renal replacement therapy (RRT), increased survival after dialysis and kidney transplantation and an increase in diagnosis and referral of these patients. Although the increase in CKD prevalence is mainly caused by environmental factors, genetic factors may also influence the incidence and/or the progression of CKD and its complications. As CKD patients might be more sensitive to genetic effects due to the exposure to a uraemic milieu, this makes studies of genetic factors especially interesting in this population. The goal of identifying genetic factors that contribute to the outcome of CKD is to gain further understanding of the disease pathogenesis and underlying causes and, possibly, to use this knowledge to predict disease or its complications and to identify a risk population. Therefore, genetic screening of paediatric CKD patients may enhance the impact of preventive measures that could have a positive effect on outcome. Furthermore, by identifying patients’ genetic backgrounds, it is possible that a more individualised therapy could be designed.

CDKN2A/p16INK4 a expression is associated with vascular progeria in chronic kidney disease

Patients with chronic kidney disease (CKD) display a progeric vascular phenotype linked to apoptosis, cellular senescence and osteogenic transformation. This has proven intractable to modelling appropriately in model organisms. We have therefore investigated this directly in man, using for the first time validated cellular biomarkers of ageing (CDKN2A/p16INK4a, SA-β-Gal) in arterial biopsies from 61 CKD patients undergoing living donor renal transplantation. We demonstrate that in the uremic milieu, increased arterial expression of CDKN2A/p16INK4a associated with vascular progeria in CKD, independently of chronological age. The arterial expression of CDKN2A/p16INK4a was significantly higher in patients with coronary calcification (p=0.01) and associated cardiovascular disease (CVD) (p=0.004). The correlation between CDKN2A/p16INK4a and media calcification was statistically significant (p=0.0003) after correction for chronological age. We further employed correlate expression of matrix Gla protein (MGP) and runt-related transcription factor 2 (RUNX2) as additional pathognomonic markers. Higher expression of CDKN2A/p16INK4a, RUNX2 and MGP were observed in arteries with severe media calcification. The number of p16INK4a and SA-β-Gal positive cells was higher in biopsies with severe media calcification. A strong inverse correlation was observed between CDKN2A/p16INK4a expression and carboxylated osteocalcin levels. Thus, impaired vitamin K mediated carboxylation may contribute to premature vascular senescence.

Increased Telomere Attrition After Renal Transplantation-Impact of Antimetabolite Therapy.

Background The uremic milieu exposes chronic kidney disease (CKD) patients to premature ageing processes. The impact of renal replacement therapy (dialysis and renal transplantation [RTx]) or immunosuppressive treatment regimens on ageing biomarkers has scarcely been studied. Methods In this study telomere length in whole blood cells was measured in 49 dialysis patients and 47 RTx patients close to therapy initiation and again after 12 months. Forty-three non-CKD patients were included as controls. Results Non-CKD patients had significantly (P ⩽ 0.01) longer telomeres than CKD patients. Telomere attrition after 12 months was significantly greater in RTx patients compared to dialysis patients (P = 0.008). RTx patients receiving mycophenolate mofetil (MMF) had a greater (P = 0.007) degree of telomere attrition compared to those treated with azathioprine. After 12 months, folate was significantly higher in RTx patients than in dialysis patients (P < 0.0001), whereas the opposite was true for homocysteine (P < 0.0001). The azathioprine group had lower levels of folate after 12 months than the MMF group (P = 0.003). Conclusions The associations between immunosuppressive therapy, telomere attrition, and changes in folate indicate a link between methyl donor potential, immunosuppressive drugs, and biological ageing. The hypothesis that the increased telomere attrition, observed in the MMF group after RTx, is driven by the immunosuppressive treatment, deserves further attention.

Selection of Genetic and Phenotypic Features Associated with Inflammatory Status of Patients on Dialysis Using Relaxed Linear Separability Method

Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods. The applicability of the relaxed linear separability (RLS) method of feature subset selection was checked for high-dimensional and mixed type (genetic and phenotypic) clinical data of patients with end-stage renal disease. The RLS method allowed for substantial reduction of the dimensionality through omitting redundant features while maintaining the linear separability of data sets of patients with high and low levels of an inflammatory biomarker. The synergy between genetic and phenotypic features in differentiation between these two subgroups was demonstrated.

Lipoprotein Lipase 1595 C/G and Hepatic Lipase –480 C/T Polymorphisms – Impact on Lipid Profile in Incident Dialysis Patients

Background: Dyslipidemia is a common complication of chronic kidney disease. Lipoprotein lipase (LPL) 1595 C/G and hepatic lipase (HL) –480 C/T single nucleotide polymorphisms (SNPs) influence lipid profile and predisposition for cardiovascular disease in the general population. The present study was undertaken to clarify the impact of the two polymorphisms on lipid parameters and cardiovascular risk in incident dialysis patients. Methods: LPL 1595 C/G and HL –480 C/T SNPs were evaluated in 293 chronic kidney disease patients close to dialysis initiation. Associations with lipid parameters, presence of cardiovascular disease, and survival were assessed. Results: LPL 1595 C/G SNP was associated with significantly lower triglyceride levels [1.55 (1.00–2.20) vs. 1.90 (1.40–2.48) mM; p < 0.01], while HL –480 C/T polymorphism was associated with increased high density lipoprotein cholesterol concentration [1.30 (1.00–1.60) vs. 1.10 (0.90–1.40) mM; p < 0.05]. Neither of the polymorphisms showed any relationship with patient survival. Conclusions: LPL 1595 C/G and HL –480 C/T polymorphisms affect lipid profile in incident dialysis patients.