Literature DB >> 30820184

Relationship of High Circulating Cystatin C to Biochemical Markers of Bone Turnover and Bone Mineral Density in Elderly Males with a Chronic Heart Failure.

Biljana Bozic Nedeljkovic1,2, Goran Loncar3, Tjasa Vizin4, Zoran Radojicic5, Vera Popovic Brkic6, Janko Kos4,7.   

Abstract

BACKGROUND: The aim of the study was to investigate the association of Cystatin C (CysC) to biochemical markers of bone turnover and bone mass, and to evaluate its prognostic significance in elderly males with chronic heart failure (CHF).
METHODS: A prospective cohort study was executed on sixtyeight males (mean age 68±7 years) with mild to moderate CHF, together with 19 of corresponding age- and body mass index-matched healthy individuals who underwent cardio vascular, bone mineral density (BMD), and body com position assessment. Biochemical assessment of all subjects included NT-pro-BNP, parathyroid hormone (PTH), 25-hydroxy vitamin D (25(OH)D), CysC, and biochemical markers of bone turnover including osteocalcin (OC), alkaline phosphatase (ALP), β-CrossLaps (β-CTx), osteoprotegerin (OPG), and receptor activator of nuclear factor κB ligand (RANKL).
RESULTS: Serum CysC was significantly increased in males with CHF in comparison to healthy control ones. A significant positive association was found between CysC levels and OC in males with CHF, while OC and β-CTx increased in increasing CysC tertiles. In multivariate regression analysis, OC and smoking were a significant determinant of CysC in males with CHF. Level of CysC was found to be positively associated with an increased fatal risk in males with CHF.
CONCLUSIONS: Serum osteocalcin is an independent predictor of CysC level in elderly males with CHF. Higher CysC level showed a negative relation to survival and bone loss in males with CHF. Further research is needed to confirm the potential role of CysC in the crosstalk between heart, kidney, bone, and energy metabolism in CHF.

Entities:  

Keywords:  Cystatin C; bone mineral density; bone turnover markers; chronic heart failure; osteocalcin

Year:  2019        PMID: 30820184      PMCID: PMC6298453          DOI: 10.2478/jomb-2018-0011

Source DB:  PubMed          Journal:  J Med Biochem        ISSN: 1452-8266            Impact factor:   3.402


Introduction

Chronic heart failure (CHF) and chronic kidney injury are two common chronic conditions in elderly adults that due to the association with morbidity/mortality are gaining increasing importance in healthcare system (1). Investigations directed to elucidating common pathological mechanisms are necessary. It is well established that CHF is a complex interplay among genetic, neurohormonal, biochemical, and inflammatory changes (2). The interaction between heart and renal dysfunction has been an area of considerable interest of research in recent years. It is assumed that CHF is a condition characterized by the association of chronic inflammatory process in the heart and impairment of the renal function. In regard of that trend the term »cardiorenal syndrome« has been proposed to outline the interplay between simultaneous heart and renal dysfunctions, and to analyse the biochemical changes, which have influenced both heart and kidney functions (3). Cystatin C (CysC) is a small protein molecule belonging to cysteine protease inhibitors family with its main biological role being extracellular inhibition of cathepsins. CysC is freely filtered by the renal glomerulus and then reabsorbed and fully catabolized by proximal renal tubules, afterwards excreted into the bloodstream without creating a complex with other secreted proteins in the blood. It is a good endogenous biomarker of kidney function/glomerular filtration ratio (4, 5, 6). Furthermore, it was found to be associated with heart extracellular matrix remodelling. The activated oxidants in the failing heart induce elevated CysC production from cardiomyocytes (7). Increased CysC level is related to a variety of cardiovascular pathological conditions that have influence on renal function (8, 9, 10). Higher levels of CysC were associated with an increased overall/cardiovascular cause of mortality in the population based cohort of ambulatory elderly persons (11). The CysC concentration is additionally an independent risk factor for heart failure in older adults (12). Therefore, serum CysC may be a useful surrogate marker of cardiovascular pathology. However, there are many unclear facts about CysC as a marker for heart failure and its prognostic value in CHF. It is not clear which factors influence serum CysC values and there is not sufficient literature data about correlation of CysC values with other pathological processes associated with CHF, such as bone loss and metabolic syndrome. Osteoporosis is the additional multifactorial pathological condition in elderly adults associated with poor quality of life and morbidity/mortality (13). Patients with heart failure have been reported to have lower bone mineral density, in part related to lower vitamin D and have higher frailty rates (14). The majority of available data indicates that the disturbances in bone turnover and the degree of bone loss are only subtle in CHF patients (15). There are data that CysC could be a promising biomarker for identification of elderly adults at high risk of hip fracture. Higher serum CysC is associated with an increased risk of hip fracture in elderly postmenopausal white females (16), but there is a paucity of data for males (17). Consistent to our research aims in previous papers, we would like to continue investigation of crosstalk in cardiovascular-bone axis in CHF. The aim of our prospective investigation was to investigate the associations of CysC as the confirming biomarker of renal dysfunction, with biochemical markers of bone turnover and mass in a group of elderly males with CHF. Additionally, we intended to analyze the determinants of increased CysC in CHF and to evaluate the prognostic power of CysC for CHF and for six-year mortality in CHF patients.

Materials and Methods

Study population

The study population of this longitudinal prospective cohort study, which included 68 elderly male patients with CHF, has previously been characterized in detail by inclusion and exclusion criteria (18, 19). The control group consisted of 19 healthy subjects (HS), who did not take any medications. No previous medical illness was reported. Written in formed consent for recruitment into the study and for follow-up for ten years from recruitment was obtained from all subjects. The study was conducted according to the principles outlined in the Declaration of Helsinki and was approved by the Ethics Committee of the Clinical Medical Centre Zvezdara. All-cause mortality was evaluated after six years. The data on patients deaths was obtained by phone contact with their relatives.

Clinical/cardiovascular assessment

All CHF males were categorized according to the New York Heart Association (NYHA) criteria (20). A physical exam was performed to assess CHF stability. Six-minute walk test (21), two-dimensional Doppler echocardiographic examination (22), and grip strength determination (23) were measured according to standard protocols. Bone mineral density at lumbar spine (L1-L4) was estimated by using dual-energy-X-ray absorptiometry machine (Lunar prodigy advance, USA), according to standard protocol.

Laboratory analysis

Basal blood samples were taken at 8 a.m. from an antecubital vein within two consecutive months (March–April 2007). Serum samples were immediately deep frozen and kept at –70 °C until assay. All molecules in blood samples were measured by the appropriate method given with detailed protocol in previous papers (18, 19).

Cystatin C determination

The levels of CysC in the stored deep frozen serum samples of patients and HS were measured by specific sandwich-type ELISA, developed at the Department of Biochemistry and Molecular Biology, Jo ef Stefan Institute and Krka, as described (24). A microtiter plate was coated with a rabbit-affinity purified anti-CysC polyclonal antibody. Recombinant human CysC was used for preparation of calibration curves. Sera from patients were diluted 1: 100 prior to being applied to the walls of microtiter plate. As a detection antibody, 1A2 monoclonal antibody was used, conjugated to horseradish peroxidase. A substrate for peroxidase was 3,3’, 5,5’-tetramethylbenzidine liquid substrate system (TMB, Sigma). The reaction was stopped by addition of 2 mol/L H2SO4, and the absorbance was measured at 450 nm on mini-reader (TECAN, Sunrise). The measured values of diluted samples were compared with the calibration curve and expressed in ng/mL of serum.

Clinical/biohumoral characteristics

The general baseline characteristics of CHF and HS are presented in . The elderly males with CHF had lower left ventricular ejection fraction, together with six-minute walking distance, grip strength, lean mass, and BMD, but greater LVEDD and E/Em ratio. Baseline characteristics of elderly males with CHF and healthy subjects. Data are expressed as mean ± SD or absolute number (percentage) *** p <0.0001, ** p <0.01, * p <0.05 elderly males with CHF vs. healthy subjects BMD=bone mineral density, BMI=body mass index, CMP=cardiomyopathy, E/Em=transmitral flow velocity of E wave/mitral annular velocity at septal side, LVEF=left ventricular ejection fraction, LVEDD=left ventricular end-diastolic diameter, NYHA=New York Heart Association As shown in , males with CHF had significantly higher levels of NT-pro-BNP, PTH, OPG, RANKL, ALP, OC, b-CTx, and CysC, while 25(OH) D levels were lower compared to HS. Baseline values of biochemical parameters in elderly males with CHF and healthy subjects. Data are expressed as mean ± standard deviation (Mean ± SD) or median ± interquartile range (Me ± IQR) ***p <0.0001, **p <0.01, *p <0.05, elderly males with CHF vs. healthy subjects ALP=alkaline phosphatase, BUN=blood urea nitrogen, 25(OH) D=25-hydroxy vitamin D, NT-pro-BNP=N-terminal pro-brain natriuretic peptide, OPG=osteoprotegerin, OC=osteocalcin, b-CTx-b=CrossLaps, HDL=High Density Lipoprotein, LDL=Low Density Lipoprotein, PTH=parathyroid hormone, sRANKL=serum receptor activator of nuclear factor kB ligand

Statistical analysis

Descriptive statistics were presented as mean values with standard deviation or median with interquartile range for numeric variables, or as absolute numbers with percentages for categorical variables. Evaluation of normality was performed by Kolmogorov-Smirnov test. Student t-test was used to calculate differences between mean values. Mann-Whitney U-test was used to determine differences between median values. c2–test tested differences in frequencies between the studied groups. Comparisons across three groups were done with ANOVA (group means). The Pearson coefficient was used for linear correlation between variables. Finally, since variables are inter-related, multivariate regression analysis, stepwise method, was performed to assess the independent variables that may explain CysC variability. The probability of F was used to select the variables to be included in the model, the variables with p-values less than 0.05 were entered and variables with p-values larger than 0.10 were removed from the model. A p<0.05 was considered to indicate statistical significance. Statistical analysis was performed using the SPSS software (Chicago, IL).

Results

CysC level in elderly CHF males

The elderly males with CHF had significantly higher serum CysC level than HS (). Additionally, we demonstrated that elderly males with CHF NYHAIII had significantly higher CysC levels compared to HS (1433±99 vs 1125±301 pg/mL, p= 0.014). Further, ROC analysis was performed to evaluate sensitivity and specificity of CysC between the groups studied. The area under the ROC curve for CysC levels was 0.659 (95%CI 0.537–0.785), p<0.034 (). It was a low but statistically significant for CHF discrimination in comparison to HS. The calculated P/N ratio for CysC levels was 1250 pg/mL (sensitivity 0.42; specificity 0.58).

Relations between CysC with clinical/biohumoral characteristics

Correlation analysis of CysC with various clinical/biohumoral parameters in CHF and HS are shown in . Association of CysC values with biochemical and clinical variables in elderly males with CHF and healthy subjects. BMP=Bone Mineral Density; LDL=Low Density Lipoprotein; OPG=Osteprotegerin; OC=Osteocalcin; PTH=Parathyroid Hormone Receiver operator characteristic (ROC) curves for detection of chronic systolic heart failure in elderly males by CysC. In HS CysC level was positively associated with age, BMD, and with tendency to statistical significance of cholesterol and OPG levels, while it was negatively associated with clearance of creatinine, six-minute walk test, lean mass and PTH (with tendency to statistical significance). All presented associations in HS were non-existent in CHF. On the other hand, in CHF CysC level was positively associated with mean blood pressure and levels of cholesterol, LDL and OC, which was not evident in HS. Although, in CHF the association between CysC and age was not detected, the potential impact of age and heart failure on CysC levels was further evaluated. presents CysC levels in CHF and HS, grouped according to age tertiles. This analysis demonstrated that serum CysC levels were significantly higher in CHF in T1 and T2 age tertiles compared to HS in the same age tertiles. However, there was no difference in CysC levels between CHF and HS at the highest age tertiles (T3). In addition, HS in T3 had a significantly increased CysC levels compared to HS in T1 age tertiles. Serum CysC levels in elderly males with CHF and healthy subjects according to age tertiles. (T1=lowest to T3=highest) Data are expressed as mean ± standard deviation (Mean ± SD) *p<0.05, CHF vs. healthy subjects ♢p<0.05, healthy subjects in T3 tertiles vs T1 tertiles

Biochemical markers of bone turnover in elderly CHF males according to CysC tertiles

Levels of OC and b-CTx were significantly higher in the highest CysC tertiles compared to middle CysC tertiles in CHF, and for OC they appeared only in T1 (). ALP values in T3 were also significantly higher in comparison to T2 (87.2±28.9 vs 68.4± 20.2 U/L, p=0.015). Moreover, LVEF, LVEDD, and E/Em ratios were significantly impaired in the higher CysC tertiles. Levels of cholesterol and LDL were increased in the higher compared to lower CysC tertiles (). Some cardiovascular and metabolic parameters and serum osteocalcin and b Cross-Laps levels in elderly males with CHF according to CysC tertiles. (T1=lowest to T3=highest) Data are expressed as mean ± standard deviation (Mean ± SD) *p<0.05, T3 vs. T1; ♢p<0.05, T3 vs. T2 LVEF=Left Ventricular Ejection Fraction; LVEDD=Left Ventricular End-Diastolic Diameter; E/Em=transmitral flow velocity of E wave/ mitral annular motion velocity at septal side, LDL=Low Density Lipoprotein, OC=osteocalcin; b-CTx=b Cross-Laps

Multivariate logistic regression analysis

A stepwise forward logistic regression analysis was performed. Odds ratio (OR), 95% confidence intervals (95%CI) and Nagelkerke’s R squared (R2) are presented for the last stage (step 3) (). Independent association with CysC levels, in CHF, was noted for smoking and OC, which together had an R2 of 0.435. Other included variables (age, CHF duration, BNP, ClCr, glucose, cholesterol, LDL, HDL, ALP, Multivariate regression analysis with CysC as dependent variable. b-CTx, PTH, 25(OH) D, OPG, RANKL) showed a statistically insignificant contribution to the model. After finding that smoking influences the level of CysC in CHF we compared the level of CysC between smoking and non-smoking males with CHF. The smoking males with CHF had lower CysC level compared to non-smoking subjects with CHF (1104±485 vs 1469±385 pg/mL, p=0.018).

Mortality of elderly CHF males according to CysC tertiles

Survival curve for mortality according to CysC tertiles is presented in . Levels of CysC were found to be positively associated with an increased risk of mortality in CHF (log-rank test, p>0.05). The elderly males with CHF in the highest CysC tertiles had a statistically significantly lower survival period Survival curves of elderly males with CHF according to CysC tertiles compared to males with CHF in lower CysC tertiles. Additionally, we used Cox regression analysis for detection of mortality rate of elderly males with CHF grouped according to CysC values adjusted for age and ClCr in the tertiles. Results of this analysis after adjustment confirmed that CHF in T3 had shorter survival period compared to T1 (p=0.005).

Discussion

As far as we are aware, this is the first report of relation of bone turnover to levels of CysC in elderly males with CHF. Our main findings are: 1) elderly males with CHF in the highest CysC tertiles have increased bone turnover (measured by level of bone-derived substances); 2) increased OC is an independent determinant of CysC in elderly males with CHF; 3) elderly males with CHF and higher CysC values had a decreased survival rate during the six-year-period, emphasising CysC as the prognostic marker of outcome in CHF. These findings are in line with the recent publication that bone-derived substances (25), some of which have hormonal properties, are related to CHF. Thus a new light was shed on the bone-cardiovascular axis. All these findings support the hypothesis that CysC and OC may play a significant role in crosstalk between heart, bone, and kidney in CHF. CysC is a marker of renal function (5) and cardiovascular disease risk (11, 12), but its precise role in CHF has not been well established. CysC is associated with both more advanced left ventricular diastolic dysfunction and right ventricular systolic dysfunction; therefore it remains an independent predictor of long-term prognosis in chronic systolic (26). In line with previous studies we confirmed that CysC levels were increased among elderly males with CHF in comparison to HS. There was a significant relative risk of systolic CHF in elderly males associated with elevated CysC above the calculated cut-off of 1250 pg/mL. In agreement with previous studies presented in literature about the influence of CysC on CHF (11, 12), CHF patients in the T1 and T2 age tertiles had higher CysC values compared to HS in the same age tertiles. Additional confirmation of this finding was a significantly increased CysC level in elderly males with CHF NYHAIII compared to HS, while elderly males with CHF NYHAII had no statistically significantly increased CysC values in the same comparison. On the contrary; there is no difference in CysC values between CHF and HS in the highest age tertiles. The level of CysC in the highest age tertiles in HS was significantly higher compared to the lowest age tertiles. Apparently, this result is in contrast to literature data. It was reported that CysC production rate is not dependent on sex, age, body weight, or diet (27), but is altered by factors like inflammation, smoking status, corticosteroid treatment, and CRP level (28). Since the HSs in this study had normal renal function, did not use corticosteroids, and did not present elevated CRP levels, we may assume that smoking status and some other processes that have not been investigated, which are related to healthy ageing, had an influence on CysC level in the oldest HS. The level of CysC is greatly influenced by thyroid function (29, 30). The thyroid hormones increase CysC in vivo and stimulate CysC production in bone cells in vitro (31). Firstly, an increased serum PTH was independently associated with various well-established parameters of heart failure progression, endothelial dysfunction, neuroendocrine activation (NT-pro-BNP, adiponectin) and could potentially be used to monitor progression of CHF (32, 33). Although, PTH did not correlate with CysC and there were no differences in PTH levels among males with CHF in different CysC tertiles, we may assume that PTH alterations might be responsible for the increased levels of CysC in CHF. This hypothesis is supported by an increased bone turnover in the highest CysC tertiles. Secondly, body fat is a significant determinant of CysC. The highest CysC level was detected in the group of obese healthy young males (34). The obesity should not influence the increased CysC in our CHF patients since all subjects were BMI-matched and there were no differences in the total fat mass. Nevertheless, 31% of CHF males were obese, while 20% HS were obese. Visceral obesity was present in 59% of HF versus 50% in controls (19). Due to these facts the potential influence of fat on the increasing levels of CysC in CHF cannot be excluded. In the next part of study, we analyzed the association of CysC with other parameters. In HS we detected correlation between CysC and age. It is in agreement with higher CysC in older men (>59 years) compared to middle-aged men (<59 years) (35). On the other hand, the association of CysC with age in our HS is contrary to literature data that CysC is not influenced by aging (27). The significant finding of this part of investigation is that all the associations of CysC detected in HS were not detected in CHF. Contrary to that, new associations in CHF were detected. These findings support the hypothesis that production of CysC is impaired and influenced by a lot of factors in CHF, which may change its primary role in health. The negative associations of CysC with physical performance expressed by six-minute walk and lean mass were noted in HSs in this study. This finding may be explained by the detected age-related CysC elevation and age-related decrease in skeletal muscle mass, which is associated with functional limitation, disability, falls, and with a spectrum of various consequences (36, 37). However, our results are in contrast to the study of Baxmann and colleagues who did not detect any correlation between lean mass and CysC in healthy males and females (38). These inconsistencies in CysC association with peripheral lean mass and physical performance may be attributed to differences in the studied groups. The patients in the study of Baxmann and colleagues were significantly younger, with different physical activities, and it was a mixed cohort of men and women. In elderly males with CHF these associations between CysC and physical performance were not noticed. The reason for it might be a muscle alteration induced by CHF, although our patients were non-cachectic. This might bear responsibility for the reduction in functional performance in this cohort. It is in accordance with the claim that physical inactivity may be important in terms of peripheral muscle mass reduction (39). The positive correlation of CysC and BMD in our HS might be explained by facts that CysC affects the BMP signalling cascades in osteoblastic cells and then promotes osteoblast differentiation, mineralization, and bone formation (40). This association was not detected in CHF males, thus indicating an impaired production of CysC in CHF. Additionally, our finding on positive correlation between CysC and OPG in HS is in accordance with the previously published paper of Kulcsar-Jakab and colleagues (35). This correlation was not found in CHF males. Currently, there is a growing interest in the potential roles of CysC and OC in the metabolic syndrome, the regulation of glucose and fat metabolism. The association of cardiovascular disease and metabolic syndrome is well established (41). CysC level in CHF males positively associates with mean blood pressure and level of cholesterol and LDL as well. These associations do not show in HS. This is in line with results which suggest that CysC may affect metabolic factors adversely thus contributing to the development of the metabolic syndrome (42). Results of this study may help to explain the link between CysC, metabolic changes (higher mean blood pressure, level of cholesterol and LDL) and the development of heart failure in elderly males. Further, we had shown that CysC positively associates with OC in CHF males. This newly detected association between CysC and OC in CHF was interesting for further analysis/investigation. This finding supports the involvement of both molecules, CysC and OC, in pathogenesis of heart failure in elderly population and related changes such as metabolic changes/syndrome and bone loss. Low OC levels are strongly associated with the metabolic syndrome in an elderly population (43). This is in agreement with our results that CHF males without metabolic syndrome presented the increased OC levels. Furthermore, it is in line with the finding of negative correlation between OC and fat mass in elderly males (44). Linking this with the result that CHF males with the highest CysC had lower survival period compared to patients with lower CysC, and finding that OC is an independent determinant of CysC in CHF, we may assume that CysC and OC may have important roles, linking heart failure with bone meta bolism, metabolic regulation, and energy homeo stasis. Future studies are welcome in order to find a potential molecular link between these variables in CHF.

Study limitations

Several issues should be considered in the interpretation of our data. The principal limitation of our study is the relatively small sample size, which makes it impossible to draw firm conclusions in regard to hard endpoint. Secondly, our study was not originally designed to test the relation of CysC to CHF. Accordingly, it did not include information on other markers, which limits our insight into the mechanisms underlying the observed associations and interactions. Thirdly, the wide confidence intervals of the selected associations indicate a limited statistical strength. Thus, our study may lack precision in estimates of the observed associations and interactions, which suggests the need to replicate these findings in larger and other population samples in order to verify the strength of the observed associations. Finally, our results apply to a population of elderly CHF males without metabolic syndrome, diabetes, and cachexia. Thus, they are unlikely to apply to another CHF subpopulation. In conclusion, the level of CysC was elevated in elderly CHF males and had adverse influence on the survival of these subjects. Increased CysC in CHF with out the influence of metabolic syndrome, diabetes, and cachexia is independently determined by the increased OC. Our findings may indicate a cross-sectional metabolic association of increased CysC with increased level of bone turnover markers, especially OC, and reduced bone mass in non-cachectic, non-diabetic, non-metabolic syndrome elderly CHF males. This bone-derived substance, OC, which influences CysC in CHF, might place the bone at the centre of cardiovascular disease associated with chronic kidney disease. Most importantly, factors that indicate the inter-regulation of these substances in bone, heart, kidney, and other tissues such as fat and muscles, and subsequent secretion into the circulation, have not been investigated. They could provide entirely new avenues for therapeutic intervention. Future studies are welcome to evaluate the predictive values of CysC, to perform evaluation for clinical outcomes as well as for beneficial potential of CysC or OC suppression in CHF.
Table I

Baseline characteristics of elderly males with CHF and healthy subjects.

Males with CHF (n = 68)Healthy subjects (n = 19)p
Age (years)68 ± 767 ± 8NS
BMI (kg/m2)27 ± 528 ± 3NS
Waist (cm)98 ± 13100 ± 7NS
Waist/hip ratio1.02 ± 0.041.01 ± 0.06NS
NYHA functional class
NYHA class II, n (%)51 (75)
NYHA class III, n (%)17 (25)
Clinical histories
Duration of CHF (years)5 ± 4
Smoking former / active, n (%)18 (27) / 9 (13)3 (16) / 5 (26)
Ischemic / idiopathic dilatated CMP, n (%)56 (82) / 12 (18)
Mean blood pressure (mmHg)101 ± 12104 ± 7NS
Hypertension, n (%)43 (63)
Atrial fibrillation, n (%)20 (29)
Pacemaker, n (%)7 (10)
History of myocardial infarction, n (%)43 (63)
Echocardiography
LVEDD (mm)66 ± 949 ± 4<0.0001***
LVEF (%)29 ± 865 ± 5<0.0001***
E/ Em ratio21 ± 119 ± 3<0.0001***
Physical performance
Six-minute walking distance (m)406 ± 84583 ± 62<0.0001***
Grip strength (kg)94 ± 20115 ± 18<0.0001***
Body composition
BMD L1-4 (g/cm2)1.094 ± 0.1791.225 ± 0.2310.010*
BMD L1-4 (T score)-1.03 ± 1.490.08 ± 1.890.008**
BMD hip (g/cm2)0.880 ± 0.1570.984 ± 0.1840.015*
BMD hip (T score)-1.41 ± 1.25-0.58 ± 1.480.017*
Fat mass21 ± 925 ± 70.052
Lean mass54 ± 857 ± 40.011*

Data are expressed as mean ± SD or absolute number (percentage)

*** p <0.0001, ** p <0.01, * p <0.05 elderly males with CHF vs. healthy subjects

BMD=bone mineral density, BMI=body mass index, CMP=cardiomyopathy, E/Em=transmitral flow velocity of E wave/mitral annular velocity at septal side, LVEF=left ventricular ejection fraction, LVEDD=left ventricular end-diastolic diameter, NYHA=New York Heart Association

Table II

Baseline values of biochemical parameters in elderly males with CHF and healthy subjects.

Males with CHF (n = 68)Healthy subjects (n = 19)p value
Cleareance creatinine (mL/min)63 ± 2280 ± 130.002 **
Creatinine (μmol/L)119.6 ± 28.699.7 ± 12.90.004 **
BUN (mmol/L)8.5 ± 3.86.3 ± 1.60.019 *
Uric acid (μmol/L)414 ± 106371 ± 192NS
Urin Ca (mmol/L)2.3 ± 1.53.7 ± 2.40.004 **
hsCRP (mg/L)5.40 ± 9.742.87 ± 3.77NS
Serum albumin (g/L)43 ± 345 ± 3NS
Glucose (mmol/L)5.3 ± 0.65.6 ± 0.5NS
Cholesterol (mmol/L)5.5 ± 1.15.9 ± 0.9NSMean ± SD
Trigliceridi (mmol/L)1.6 ± 0.61.7 ± 1.2NS
HDL (mmol/L)1.28 ± 0.341.45 ± 0.42NS
LDL (mmol/L)3.54 ± 0.943.76 ± 0.80NS
25(OH)D (nmol/L)31.9 ± 14.848.9 ± 22.0<0.0001 ***
PTH (pg/mL)78.3 ± 33.839.9 ± 11.7<0.0001 ***
ALP (U/L)81.5 ± 28.467.7 ± 19.20.018 *
OC (ng/ml)38.3 ± 19.129.2 ± 7.70.047 *
β-CTx (pg/mL)517 ± 278375 ± 1590.036 *
Cystatin C (pg/mL)1354 ± 4271125 ± 3010.031 *
NT-pro-BNP (pg/mL)1809 (2742)67 (74)<0.0001 ***
OPG (pg/mL)79.8 (121.7)10.8 (63.5)<0.0001 ***Me ± IQR
RANKL (pg/mL)130.9 (125.8)47.8 (44.4)<0.0001 ***

Data are expressed as mean ± standard deviation (Mean ± SD) or median ± interquartile range (Me ± IQR)

***p <0.0001, **p <0.01, *p <0.05, elderly males with CHF vs. healthy subjects

ALP=alkaline phosphatase, BUN=blood urea nitrogen, 25(OH) D=25-hydroxy vitamin D, NT-pro-BNP=N-terminal pro-brain natriuretic peptide, OPG=osteoprotegerin, OC=osteocalcin, b-CTx-b=CrossLaps, HDL=High Density Lipoprotein, LDL=Low Density Lipoprotein, PTH=parathyroid hormone, sRANKL=serum receptor activator of nuclear factor kB ligand

Table III

Association of CysC values with biochemical and clinical variables in elderly males with CHF and healthy subjects.

Cystatin C
Healthy subjectsCHF
Age
r (p)0.666 (0.002)NS
Smoking
r (p)NS0.335 (0.005)
Clearance creatinine
r (p)-0.615 (0.005)NS
Cholesterol
r (p)0.446 (0.056)0.269 (0.027)
LDL
r (p)NS0.240 (0.048)
Mean blood pressure
r (p)NS0.291 (0.016)
Six-minute
r (p)-0.517 (0.024)NS
Lean mass
r (p)-0.530 (0.020)NS
BMD L1-L4 T g/cm2
r (p)0.538 (0.017)NS
BMD L1-L4 T score
r (p)0.539 (0.017)NS
PTH
r (p)-0.452 (0.052)NS
OPG (log-transformed)
r (p)0.454 (0.051)NS
OC
r (p)NS0.289 (0.017)

BMP=Bone Mineral Density; LDL=Low Density Lipoprotein; OPG=Osteprotegerin; OC=Osteocalcin; PTH=Parathyroid Hormone

Table IV

Multivariate regression analysis with CysC as dependent variable.

CHF patientsBpF(p)
Cystatin C(Constant) Smoking Osteocalcin R2 = 0.435
684.393 186.446 5.717
0.007 0.0277.458 (<0.0001)
  41 in total

1.  Serum cystatin C concentration as a marker of renal dysfunction in the elderly.

Authors:  D Fliser; E Ritz
Journal:  Am J Kidney Dis       Date:  2001-01       Impact factor: 8.860

2.  ATS statement: guidelines for the six-minute walk test.

Authors: 
Journal:  Am J Respir Crit Care Med       Date:  2002-07-01       Impact factor: 21.405

3.  Measuring grip strength in normal adults: reference ranges and a comparison of electronic and hydraulic instruments.

Authors:  Nicola Massy-Westropp; Wayne Rankin; Michael Ahern; Jegan Krishnan; Trevor C Hearn
Journal:  J Hand Surg Am       Date:  2004-05       Impact factor: 2.230

4.  Impact of thyroid dysfunction on serum cystatin C.

Authors:  Manuel Fricker; Peter Wiesli; Michael Brändle; Beat Schwegler; Christoph Schmid
Journal:  Kidney Int       Date:  2003-05       Impact factor: 10.612

5.  Serum cystatin C as a new marker for noninvasive estimation of glomerular filtration rate and as a marker for early renal impairment.

Authors:  E Coll; A Botey; L Alvarez; E Poch; L Quintó; A Saurina; M Vera; C Piera; A Darnell
Journal:  Am J Kidney Dis       Date:  2000-07       Impact factor: 8.860

6.  Contribution of skeletal muscle atrophy to exercise intolerance and altered muscle metabolism in heart failure.

Authors:  D M Mancini; G Walter; N Reichek; R Lenkinski; K K McCully; J L Mullen; J R Wilson
Journal:  Circulation       Date:  1992-04       Impact factor: 29.690

Review 7.  Cystatin C.

Authors:  David J Newman
Journal:  Ann Clin Biochem       Date:  2002-03       Impact factor: 2.057

8.  Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement.

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Journal:  Kidney Int       Date:  2004-04       Impact factor: 10.612

9.  Prevention and management of osteoporosis.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

10.  Serum cystatin C is sensitive to small changes in thyroid function.

Authors:  Peter Wiesli; Beat Schwegler; Giatgen A Spinas; Christoph Schmid
Journal:  Clin Chim Acta       Date:  2003-12       Impact factor: 3.786

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2.  Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study.

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3.  Serum Cystatin, Chemokine, and Gastrin-Releasing Peptide Precursors and Their Clinical Value in Patients with Chronic Renal Failure.

Authors:  Xiaoli Liu; Xin Liu; Jing Cai; Zhijie Xun; Qian Song; Ruixia Wang; Guiying Li; Zhongxin Xu
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