P0930SERUM LEVELS OF OSTEOPROTEGERIN ARE ASSOCIATED WITH OBESITY IN CHRONIC KIDNEY DISEASE

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yooju Nam ◽  
Seonyeong Lee ◽  
Hyung Woo Kim ◽  
Jae Hyun Chang ◽  
Tae-Hyun Yoo

Abstract Background and Aims Osteoprotegerin (OPG), which is an osteoclastic inhibitory factor, is associated with type 2 diabetes mellitus, severity of vascular calcification, coronary artery disease, and chronic kidney disease. Obesity is a risk factor for diabetes, and cardiovascular disease, however there are few studies about the relationship between OPG and obesity, especially in patients with CKD. This study aimed to investigate association between OPG level and obesity in a large-scale prospective cohort. Method Among 2,238 patients with non-dialysis CKD enrolled in the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD), 1,970 patients who measured body mass index (BMI), waist circumference (WC) and OPG level were included in the analysis. Obesity were defined as having a BMI >25 kg/m2 and WC > 90 cm in male, > 85 cm in female. Results The mean age was 53.6 ± 12.2 years and 1,196 (60.7%) patients were males. At baseline, obesity by BMI, WC, and composite of BMI and WC were found in 814 (41.3%), 208 (26.9%) and 1,137 (57.7%) patients. A multivariate logistic regression model showed that log transformed OPG level was independently associated with the prevalence of obesity by BMI, WC, composite of BMI and WC (odds ratio [OR], 0.33; 95% confidence interval [CI], 0.16-0.65, P<0.001 and OR, 0.37; 95% CI, 0.18-0.75, P=0.006, and OR, 0.33, 95% CI, 0.16-0.69, P=0.003, respectively). Among patients without baseline obesity, 207 (19.3%) patients developed obesity by BMI, 202 (21.7%) by WC, and 194 (23.3%) by composite of BMI and WC. In the fully adjusted multivariable Cox models, risks of developing obesity by BMI, WC and composite of BMI and WC were significantly higher with increased level of OPG (hazard ratio [HR], 0.59; 95% CI, 0.38-0.92; P=0.019, HR, 0.63; 95% CI, 0.41-0.98; P=0.001). Conclusion We showed that serum OPG levels are associated with obesity in patients with non-dialysis CKD.

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yooju Nam ◽  
Seonyeong Lee ◽  
Hyung Woo Kim ◽  
Jae Hyun Chang ◽  
Tae-Hyun Yoo

Abstract Background and Aims Osteoprotegerin (OPG), which is an osteoclastic inhibitory factor, have been shown associated with adverse renal outcomes and progression of vascular calcification in chronic kidney disease (CKD) patients. Anemia and CKD-bone mineral disorders (CKD-MBD) are also frequently observed in these patients. Since CKD-MBD and anemia might be closely linked, therefore, we further examined whether OPG level as a marker for bone turnover can predict the future development of anemia in a large-scale prospective cohort. Method Among 2,238 patients with non-dialysis CKD enrolled in the KoreaN cohort study for Outcome in patients With Chronic Kidney Disease (KNOW-CKD), 2,086 patients who measured hemoglobin, hepcidin, iron profiles and OPG level were included in the analysis. Anemia was defined as a hemoglobin level of < 13.0 g/dL and 12.0 g/dL for male and female, respectively. Results The mean age was 53.6 ± 12.2 years and 1,270 (60.9%) patients were males. At baseline, anemia was found in 941 (45.1%) patients. Log transformed OPG levels significantly correlated with FGF23 levels, but inversely with iron profiles and hemoglobin levels at baseline. A multivariate logistic regression model showed that log OPG level was independently associated with the prevalence of anemia (odds ratio [OR], 2.22; 95% confidence interval [CI], 1.41-3.48, P=0.001). Among 1110 patients without baseline anemia, 258 (25.3%) patients developed anemia during a median follow-up duration of 34.6 (interquartile range, 23-48) months. In the fully adjusted multivariable Cox models, risk of developing anemia was significantly higher in the fourth (hazard ratio [HR], 1.99; 95% CI, 1.08-3.67; P =0.028) than in the first OPG quartile. Similar association was observed in a model when OPG was treated as a continuous variable. Conclusion We showed that high serum OPG levels are associated with an increased risk of developing anemia in patients with non-dialysis CKD.


2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Mariana Nogueira Coutinho ◽  
Aluizio Barbosa Carvalho ◽  
Maria Aparecida Dalboni ◽  
Margaret Gori Mouro ◽  
Elisa Mieko Suemitsu Higa ◽  
...  

Background. Patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (DM) have increased risk of endothelial dysfunction, cardiovascular disease, and mortality. Several studies have separately analyzed endothelial function in these populations. However, data of patients with both CKD and DM are scarce. The aim of this study was to evaluate whether the presence of DM has any additional effect on the endothelial dysfunction of CKD patients.Methods. We measured endothelial progenitor cells (EPCs), stromal-derived factor 1 alpha (SDF-1α), serum and urinary nitric oxide (NO), flow-mediated dilation (FMD), and pulse wave velocity (PWV) in 37 CKD patients with DM (CKD-DM group) and in 37 without DM (CKD group).Results. CKD-DM group had a higher prevalence of obesity (P<0.01), previous myocardial infarction (P=0.02), myocardial revascularization (P=0.04), and a trend for more peripheral artery disease (P=0.07). Additionally, CKD-DM group had higher EPC (P=0.001) and PWV (P<0.001) values. On the other hand, no difference in SDF-1αand serum or urinary NO and FMD was observed between the groups.Conclusions. Endothelial dysfunction is frequent in CKD patients, and an additive effect of diabetes cannot be implicated, suggesting the predominant role of uremia in this condition.


2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Su Ah Sung ◽  
Kum Hyun Han ◽  
Jien Lee ◽  
Taehee Lee

Abstract Background and Aims Hepcidin plays a central role in iron metabolism. However, few studies have evaluated the relationship between serum hepcidin and the progression of chronic kidney disease (CKD). This study aimed to determine the relationship between serum hepcidin levels and the progression of renal diseases in patients with CKD. Method We reviewed data of 2,016 patients from a large-scale multicenter, prospective study enrolled between 2011 and 2016, who had data regarding the serum hepcidin level, hemoglobin level, iron indices, usage of erythopoiesis-stimulating agents (ESA) or iron, and follow-up of renal events. Renal events were defined as a &gt;50% decrease in kidney function from the baseline values, doubling of the serum creatinine level, or initiation of renal-replacement treatment. Results During a mean 3.6 years, 556 patients developed renal events (27.6%). In multivariate Cox proportional hazard regression analysis adjusted for confounders including kidney function, the hemoglobin level, conventional iron indices, usage of ESA or iron, and other chronic diseases, the hazard of serum hepcidin for renal events was evident in the comparison between only the first and fourth quartiles (hazard ratio 1.603, 95% confidence interval, 1.187-2.163, P = 0.002). In the multivariate penalized spline curve analysis, the relationship between serum hepcidin and renal events was J-shaped, and the renal hazard was particularly evident at a serum hepcidin level ≥60 ng/ml. Conclusion Increased serum hepcidin levels independently predict the progression of CKD in non-dialysis patients with CKD. The potential direct renal hazard of serum hepcidin needs to be confirmed in future randomized controlled trials.


Author(s):  
Noriaki Sato ◽  
Masanori Kakuta ◽  
Takanori Hasegawa ◽  
Rui Yamaguchi ◽  
Eiichiro Uchino ◽  
...  

Abstract Background The relationship between chronic kidney disease (CKD) and the gut microbiome, which interact through chronic inflammation, uraemic toxin production and immune response regulation, has gained interest in the development of CKD therapies. However, reports using shotgun metagenomic analysis of the gut microbiome are scarce, especially for early CKD. Here we characterized gut microbiome differences between non-CKD participants and ones with early CKD using metagenomic sequencing. Methods In total, 74 non-CKD participants and 37 participants with early CKD were included based on propensity score matching, controlling for various factors including dietary intake. Stool samples were collected from participants and subjected to shotgun sequencing. Bacterial and pathway abundances were profiled at the species level with MetaPhlAn2 and HUMAnN2, respectively, and overall microbiome differences were determined using Bray–Curtis dissimilarities. Diabetic and non-diabetic populations were analysed separately. Results For diabetic and non-diabetic participants, the mean estimated glomerular filtration rates of the CKD group were 53.71 [standard deviation (SD) 3.87] and 53.72 (SD 4.44), whereas those of the non-CKD group were 72.63 (SD 7.72) and 76.10 (SD 9.84), respectively. Alpha and beta diversities were not significantly different between groups. Based on taxonomic analysis, butyrate-producing species Roseburia inulinivorans, Ruminococcus torques and Ruminococcus lactaris were more abundant in the non-CKD group, whereas Bacteroides caccae and Bacteroides coprocora were more abundant in the non-diabetic CKD group. Conclusions Although gut microbiome changes in individuals with early CKD were subtle, the results suggest that changes related to producing short-chain fatty acids can already be observed in early CKD.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 418-P
Author(s):  
CHRISTOPH H. SAELY ◽  
LUKAS SPRENGER ◽  
ALEXANDER VONBANK ◽  
BARBARA LARCHER ◽  
ARTHUR MADER ◽  
...  

2016 ◽  
Vol 120 ◽  
pp. S68-S69
Author(s):  
Chih-Hsun Chu ◽  
Chun-Chin Sun ◽  
Wan-Chi Chuang ◽  
Wei-Cheng Chang ◽  
Yu-Hsuan Tsai ◽  
...  

Author(s):  
Gulsah Sasak ◽  
Banu Isbilen Basok ◽  
Semih Basci ◽  
Abdulkadir Kocanoglu ◽  
Ali Bakan ◽  
...  

The incidence and prevalence of obesity are increasing rapidly throughout the world. Various methods have been developed to evaluate obesity. A body shape index (aBSI) is based on waist circumference adjusted for height and weight. High BSI values have been found to be associated with early mortality. It is known that obesity is associated with inflammation and cardiovascular diseases. In this study, we examined the relationship between aBSI, inflammatory markers such as C-reactive protein and interleukin-6 and cardiovascular disease in patients with stage 3-4 chronic kidney disease. Methods. One hundred twenty patients were enrolled in this cross-sectional observational study. The mean aBSI value was 0.0870. Patients were divided into 2 groups according to the mean value of aBSI as there is no currently defined cut-off value for BSI. Those with aBSI ≤ 0.087 were allocated to group I, and those with aBSI> 0.0870 to group II. Results. Patients in group II had more cardiovascular disease than in group I. In partial Spearman correlation analysis, the presence of cardiovascular disease was correlated with aBSI (r = 0.36, p = 0.0001). aBSI higher than 0.0986 predicted cardiovascular disease in our cohort: the area under the curve (CI 95%) for aBSI was 0.715 (0.602-0.829). Conclusions. The relationship between aBSI and inflammation could not be shown. But we found that high aBSI is associated with increased cardiovascular disease. Further studies are needed to recommend the routine clinical use of aBSI as a cardiovascular disease marker.


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