Diagnostic significance of hsa_circ_0000146 and hsa_circ_0000072 biomarkers for Diabetic Kidney Disease in patients with type 2 diabetes mellitus.

Background: Diabetic Kidney Disease (DKD) is a significant challenge in healthcare. However, there are currently no reliable biomarkers for renal impairment diagnosis, prognosis, or staging in DKD patients. CircRNAs and microRNAs have emerged as noninvasive and efficient biomarkers. Methods: We explored Cannabinoid receptor 1 (CNR1), C reactive protein (CRP), hsa_circ_ 0000146 and 0000072, and hsa-miR-21 and 495 as diagnostic biomarkers in DKD. The serum concentrations of CRP and CNR1 were measured using ELISA. Rt-qPCR was used to evaluate the expression levels of CNR1, circRNAs, and miRNAs in 55 controls, 55 type 2 diabetes mellitus patients, and 55 DKD patients. Their diagnostic value was determined by their ROC curve. KEGG pathway was used to predict the functional mechanism of the circRNA's target genes. Results: DKD patients exhibited a significant increase in CRP and CNR1 levels and the expression of miR-21 and 495. The expression levels of circ_0000146 and 0000072 decreased in DKD patients. ROC analysis revealed that circRNAs and miRNAs alone or CNR1 and CRP have significant diagnostic potential. The functional prediction results showed the involvement of hsa_circ_0000146 and 0000072 in various pathways that regulate DKD. Conclusions: Therefore, the examined circRNAs and miRNAs may represent a novel noninvasive biomarker for diagnosing and staging DKD.

Hardware-in-the-loop testing of simple and intelligent MPPT control algorithm for an electric vehicle charging power by photovoltaic system.

In this paper, an electric vehicle (EV) charging station powered by a photovoltaic (PV) system has been created to charge EVs. Furthermore, the maximum available power from the PV system was extracted using a new algorithm called the simplified universal intelligent PID (SUIPID) controller, which has the advantages of simplicity in design and intelligence. The SUIPID controller was compared to the artificial neural networks (ANNs), the fuzzy logic controller (FLC) based on linear membership functions, and the FLC based on particle swarm optimization (PSO) to optimize its parameters under various conditions. The system simulation was first performed using MATLAB software, then an experimental set up was conducted to confirm the theoretical work. The proposed SUIPID responds 28.5%, 44.4%, and 61.5% faster than the PSO-FLC, ANN, and FLC, respectively, whereas the ITAE error was reduced by 27.3%, 52.9%, and 65.2%, respectively. Also, the charging procedure of the EV battery is precisely steady under different atmospheric conditions. The SUIPID controller has several advantages over other intelligent algorithms, most notably its ease of design and implementation.

[Unusual localizations of subcutaneous lipomas: case report]. / Des localisations inhabituelles des lipomes sous cutanés: rapport de cas.

Subcutaneous lipomas are very common tumors preferentially occurring in the neck and trunk. Although rare and unusual, they can occur in other parts of the body. Then they should be suspected in patients with subcutaneous swellings. We here report 3 cases of lipomas occurring in rare sites, detailing diagnosis and treatment. They occurred in the interdigital web space of the hand, toe and lateral canthus of the eye.

Impact of heart failure on the clinical profile and outcomes in patients with atrial fibrillation treated with rivaroxaban. Data from the EMIR study.

BACKGROUND: The aim of this study was to analyze the impact of the presence of heart failure (HF) on the clinical profile and outcomes in patients with atrial fibrillation (AF) anticoagulated with rivaroxaban. METHODS: Observational and non-interventional study that included AF adults recruited from 79 Spanish centers, anticoagulated with rivaroxaban ≥ 6 months before inclusion. Data were analyzed according to baseline HF status. RESULTS: Out of 1,433 patients, 326 (22.7%) had HF at baseline. Compared to patients without HF, HF patients were older (75.3 ± 9.9 vs. 73.8 ± 9.6 years; p = 0.01), had more diabetes (36.5% vs. 24.3%; p < 0.01), coronary artery disease (28.2% vs. 12.9%; p < 0.01), renal insufficiency (31.7% vs. 22.6%; p = 0.01), higher CHA2DS2-VASc (4.5 ± 1.6 vs. 3.2 ± 1.4; p < 0.01) and HAS-BLED (1.8 ± 1.1 vs. 1.5 ± 1.0; p < 0.01). After a median follow-up of 2.5 years, among HF patients, annual rates of stroke/systemic embolism/transient ischemic attack, major adverse cardiovascular events (MACE) (non-fatal myocardial infarction, revascularization and cardiovascular death), cardiovascular death, and major bleeding were 1.2%, 3.0%, 2.0%, and 1.4%, respectively. Compared to those patients without HF, HF patients had greater annual rates of MACE (3.0% vs. 0.5%; p < 0.01) and cardiovascular death (2.0% vs. 0.2%; p < 0.01), without significant differences regarding other outcomes, including thromboembolic or bleeding events. Previous HF was an independent predictor of MACE (odds ratio 3.4; 95% confidence interval 1.6-7.3; p = 0.002) but not for thromboembolic events or major bleeding. CONCLUSIONS: Among AF patients anticoagulated with rivaroxaban, HF patients had a worse clinical profile and a higher MACE risk and cardiovascular mortality. HF was independently associated with the development of MACE, but not with thromboembolic events or major bleeding.

Real life evaluation of the multi-organ effects of Lumacaftor/Ivacaftor on F508del homozygous cystic fibrosis patients.

BACKGROUND: Lumacaftor/Ivacaftor (LUM-IVA), a cystic fibrosis transmembrane conductance regulator (CFTR) protein corrector-potentiator combination, improves lung function and reduces pulmonary exacerbations (PEx) in F508del homozygous CF patients. However, the systemic effects of LUM-IVA outside the respiratory system have not yet been thoroughly investigated. METHODS: A prospective, real-world, yearlong study was performed on F508del homozygous adult CF patients who commenced treatment with LUM-IVA. Pancreatic function, bone metabolism, fertility status, nutritional and pulmonary factors were evaluated. RESULTS: Twelve patients, mean age 28.3 years (18.6-43.9) were recruited. Following 12 months of treatment, no changes were detected in glucose, insulin, c-peptide or BMI values. A significant relative decrease in mean alkaline-phosphatase levels (122.8 U/L vs 89.4, p = 0.002) and a trend toward an increase in calcium levels (9.5 vs 9.9 mg/dL, p = 0.074) were observed. A non-significant improvement in mean DEXA spine t-score after a year of treatment (-2.1 vs -1.6, n = 4, p = 0.11) was detected. Sweat chloride concentrations decreased significantly (-21.4 mEq/L; p = 0.003). Pulmonary outcome revealed improvement in spirometry values during the first three months (FEV1 by 5.7% p = 0.009, FEF25-75 by 4.3% p = 0.001) with no change in chest CT Bhalla score and CFQR after one year. There was also a significant decrease in parenteral antibiotic events (17 vs 8, p = 0.039) with shift from IV to oral antibiotics for PEx treatment. CONCLUSIONS: After one year of treatment, stabilization was observed in the pancreatic indices, nutritional status, structure and function of the lungs, with a beneficial effect on bone mineral metabolism and CFTR function. Additional studies should investigate the effect of CFTR modulators on extra-pulmonary manifestations.

Skin Lesion Classification Using Collective Intelligence of Multiple Neural Networks.

Skin lesion detection and analysis are very important because skin cancer must be found in its early stages and treated immediately. Once installed in the body, skin cancer can easily spread to other body parts. Early detection would represent a very important aspect since, by ensuring correct treatment, it could be curable. Thus, by taking all these issues into consideration, there is a need for highly accurate computer-aided systems to assist medical staff in the early detection of malignant skin lesions. In this paper, we propose a skin lesion classification system based on deep learning techniques and collective intelligence, which involves multiple convolutional neural networks, trained on the HAM10000 dataset, which is able to predict seven skin lesions including melanoma. The convolutional neural networks experimentally chosen, considering their performances, to implement the collective intelligence-based system for this purpose are: AlexNet, GoogLeNet, GoogLeNet-Places365, MobileNet-V2, Xception, ResNet-50, ResNet-101, InceptionResNet-V2 and DenseNet201. We then analyzed the performances of each of the above-mentioned convolutional neural networks to obtain a weight matrix whose elements are weights associated with neural networks and classes of lesions. Based on this matrix, a new decision matrix was used to build the multi-network ensemble system (Collective Intelligence-based System), combining each of individual neural network decision into a decision fusion module (Collective Decision Block). This module would then have the responsibility to take a final and more accurate decision related to the prediction based on the associated weights of each network output. The validation accuracy of the proposed system is about 3 percent better than that of the best performing individual network.

New Trends in Melanoma Detection Using Neural Networks: A Systematic Review.

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the reason why many researchers in this domain wanted to obtain accurate computer-aided diagnosis systems to assist in the early detection and diagnosis of such diseases. The paper presents a systematic review of recent advances in an area of increased interest for cancer prediction, with a focus on a comparative perspective of melanoma detection using artificial intelligence, especially neural network-based systems. Such structures can be considered intelligent support systems for dermatologists. Theoretical and applied contributions were investigated in the new development trends of multiple neural network architecture, based on decision fusion. The most representative articles covering the area of melanoma detection based on neural networks, published in journals and impact conferences, were investigated between 2015 and 2021, focusing on the interval 2018-2021 as new trends. Additionally presented are the main databases and trends in their use in teaching neural networks to detect melanomas. Finally, a research agenda was highlighted to advance the field towards the new trends.

Convalescent plasma for the treatment of patients with severe coronavirus disease 2019: A preliminary report.

BACKGROUND: The role of convalescent plasma therapy for patients with coronavirus disease 2019 (COVID-19) is unclear. METHODS: We retrospectively compared outcomes in a cohort of critical COVID-19 patients who received standard care (SC Group) and those who, in addition, received convalescent plasma (CP Group). RESULTS: In total, 40 patients were included in each group. The median patient age was 53.5 years (interquartile range [IQR] 42-60.5), and the majority of patients required invasive ventilation (69, 86.2%). Plasma was harvested from donors after a median of 37 days (IQR 31-46) from the first positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) result and 26 days (IQR 21-32) after documented viral clearance; it was administered after a median of 10 days (IQR 9-10) from the onset of symptoms and 2.5 days (IQR 2-4) from admission to intensive care unit. The primary endpoint of improvement in respiratory support status within 28 days was achieved in 26 patients (65%) in the SC Group and 31 patients (77.5%) in the CP Group (p = .32). The 28-day all-cause mortality (12.5% vs. 2.5%; p = .22) and viral clearance (65% vs. 55%; p = .49) were not significantly different between the two groups. Convalescent plasma was not significantly associated with the primary endpoint (adjusted hazard ratio 0.87; 95% confidence interval 0.51-1.49; p = .62). Adverse events were balanced between the two study groups. CONCLUSION: In severe COVID-19, convalescent plasma therapy was not associated with clinical benefits. Randomized trials are required to confirm our findings.

The Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project: defining a healthy volunteer cohort.

The integration of comprehensive genomic and phenotypic data from diverse ethnic populations offers unprecedented opportunities toward advancements in precision medicine and novel diagnostic technologies. Current reference genomic databases are not representative of the global human population, making variant interpretation challenging, especially in underrepresented populations, such as the North African population. To address this, the Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project launched a study comprising 1000 individuals free of cardiovascular disease (CVD). Here, we present the first 391 Egyptian healthy volunteers recruited to establish a pilot phenotyped control cohort. All individuals underwent detailed clinical investigation, including cardiac magnetic resonance imaging (MRI), and were sequenced using a targeted panel of 174 genes with reported roles in inherited cardiac conditions. We identified 1262 variants in 27 cardiomyopathy genes of which 15.1% were not captured in current global and regional genetic reference databases (here: gnomAD and Great Middle Eastern Variome). The ECCO-GEN project aims at defining the genetic landscape of an understudied population and providing individual-level genetic and phenotypic data to support future studies in CVD and population genetics.

Tocilizumab for the treatment of severe coronavirus disease 2019.

Tocilizumab, an interleukin-6 inhibitor, may ameliorate the inflammatory manifestations associated with severe coronavirus disease 2019 (COVID-19) and thus improve clinical outcomes. This was a retrospective review of patients with laboratory-confirmed severe COVID-19 who received tocilizumab and completed 14 days of follow up. Twenty-five patients were included, median age was 58 years (interquartile range, 50-63) and the majority were males (92%). Co-morbidities included diabetes mellitus (48%), chronic kidney disease (16%), and cardiovascular disease (12%). Fever (92%), cough (84%), and dyspnea (72%) were the commonest presenting symptoms. All patients received at least two concomitant investigational antiviral agents. Median oral temperature was on day 1, 3, and 7 was 38.0°C, 37.3°C (P = .043), and 37.0°C (P = .064), respectively. Corresponding median C-reactive protein was 193 and 7.9 mg/L (P < .0001) and <6 mg/L (P = .0001). Radiological improvement was noted in 44% of patients by day 7% and 68% by day 14. Nine patients (36%) were discharged alive from intensive care unit and three (12%) died. The proportion of patients on invasive ventilation declined from (84%) at the time of tocilizumab initiation to 60% on day 7 (P = .031) and 28% on day 14 (P = .001). The majority (92%) of patients experienced at least one adverse event. However, it is not possible to ascertain which adverse events were directly related to tocilizumab therapy. In patients with severe COVID-19, tocilizumab was associated with dramatic decline in inflammatory markers, radiological improvement and reduced ventilatory support requirements. Given the study's limitations, the results require assessment in adequately powered randomized controlled trials.

Atelectasis in Bariatric Surgery: Review Analysis and Key Practical Recommendations.

Obesity is a condition that affects multiple organ systems, particularly the cardiovascular and respiratory system. In recent years, bariatric surgery has been reported to be the gold standard in the treatment of morbid obesity. Body mass index alone is insufficient to predict risks related to anaesthesia and surgery. Obesity contributes to significant postoperative atelectasis and is considered an independent risk factor for postoperative atelectasis owing to decreased functional residual capacity. The treatment and reversibility of atelectasis developed in obese patients undergoing bariatric surgery are challenging. Therefore, an optimisation of pulmonary functions before surgery, lung-sparing ventilation during the perioperative period, awareness of potential postoperative complications and knowledge about preventive measures and therapeutic approaches have become increasingly important in bariatric surgery. The aim of this review was to aid clinicians in the management of atelectasis in patients undergoing bariatric surgery during the perioperative and postoperative period.

Chemerin level and the relation to insulin resistance in chronic kidney disease.

Chemerin has been associated with different components of the metabolic syndrome, including hypertension, hyperlipidemia, and insulin resistance (IR). The aim of this study was to evaluate serum chemerin level in chronic kidney disease (CKD) patients and its relation to IR. This study was conducted on 80 participants who were classified into three groups: Group I (30 CKD patients with mean age 53 ± 12 years), Group II (30 patients with end-stage renal disease on regular hemodialysis with mean age 48 ± 14.8 years) and Group III having 20 healthy age-and sex-matched controls. Serum chemerin level, fasting blood sugar, fasting insulin, HOMA-IR index calculation, urea, creatinine, estimated glomerular filtration rate, total cholesterol, and triglyceride were measured. Body composition was assessed by dual-energy X-ray absorptiometry. In Groups I and II, we found a significantly higher mean chemerin level compared to healthy controls (P <0.001), a highly significant positive correlation between mean chemerin level and the HOMA-IR index [r = 0.56, P <0.001/(r = 0.53, P <0.001)], and a highly significant negative correlation between mean chemerin level and GFR (r = -0.51, P <0.001/r = -0.46, P <0.001). In Group I, there was also a highly significant positive correlation between mean chemerin and systolic blood pressure (r = 0.31, P <0.05), diastolic blood pressure (r = 0.39, P <0.05 and creatinine (r = 0.34, P <0.05). Chemerin might be considered a uremic IR adipokine marker in CKD Stages 3, 4, and 5.

Electronic structure of the BaO molecule with dipole moments and ro-vibrational calculations.

The twenty-three low-lying electronic states (singlet and triplet) of the BaO molecule have been studied by using an ab initio method. These electronic states have been investigated by using the Complete Active Apace Self-Consistent Field (CASSCF) followed by multi-reference configuration interaction (MRCI+Q) with Davidson correction. The potential energy curves, the internuclear distance Re, the harmonic frequency ωe, the rotational constant Be, the electronic energy with respect to the ground state Te and the static and transition dipole moment have been investigated. The Einstein spontaneous and induced emission coefficients A21 and B21ω as well as the spontaneous radiative lifetime τspon, emission wavelength λ21 and oscillator strength f21 have been calculated by using the transition dipole moment between some doublet electronic states. The calculation of the eigenvalues Ev, the rotational constant Bv, the centrifugal distortion constant Dv, and the abscissas of the turning points Rmin and Rmax have been done by using the canonical functions approach. A very good agreement is shown by comparing the values of our work to those found in the literature for many electronic states. Eighteen new electronic states have been studied here for the first time.

Patients with end-stage renal disease: optimal diagnostic and prognostic performance of myocardial gated-SPECT, initial results.

PURPOSE: We investigated the role of Tc-99m sestamibi myocardial perfusion gated single photon emission computed tomography (GSPECT) in identifying those patients with end-stage renal disease (ESRD) in whom optimal diagnosis of coronary artery disease and prediction of cardiac events (CEs) could be achieved. METHODS: This was a prospective study that included 41 asymptomatic ESRD patients who had been undergoing hemodialysis for 12 months or less (22 men and 19 women) with restricted selection criteria (asymptomatic traditional risk). Tc-99m sestamibi GSPECT was carried out for all patients, whereas coronary angiography (Cath) was carried out only for abnormal GSPECT patients, with a 2-year follow-up for CEs. Twenty individuals matched for age, sex, and BMI formed the control group. RESULTS: Of the 41 ESRD patients, 13 showed abnormal GSPECT [11/13 with myocardial perfusion defects and left ventricular dysfunction in concordance with Cath and 2/13 with only left ventricular dysfunction (i.e. stunning)] compared with 1/20 in the control group. None of the patients with negative results experienced CEs (negative predictive value 100%); these patients had a 2-year CE-free survival rate of 100% compared with 46% for patients with positive results on GSPECT (P<0.0001; seven GSPECT-positive patients developed CEs during their follow-up). Patients with positive results were more frequently male (P<0.001), were significantly older (P=0.01), and had highly sensitive C-reactive protein levels (P=0.002). Abnormal GSPECT was the only independent predictor of CEs (95% confidence interval, 7.1-46.7; hazard ratio, 46.1; P<0.001). CONCLUSION: GSPECT exhibited optimum performance for coronary artery disease detection and risk stratification in asymptomatic ESRD patients during their first year of regular hemodialysis who were selected according to our modification of the traditional risk category. This may help in selecting suitable candidates for Cath, revascularization, and future renal transplantation.

Relationship of BsmI polymorphism of vitamin D receptor gene with left ventricular hypertrophy and atherosclerosis in hemodialysis patients.

BACKGROUND: Left ventricular hypertrophy (LVH) is a common manifestation of cardiovascular disease and has an important prognostic value in patients with end-stage renal disease (ESRD). Vitamin D receptor (VDR) has been intensively investigated, and one of these (BsmI) already has been associated with survival in the dialysis population. OBJECTIVE: The aim of this study was to investigate the role of VDR polymorphism (BsmI) on the development of ventricular hypertrophy and atherosclerosis in hemodialysis patients. Subject and methods. The subjects were 80 patients with end-stage renal disease on maintenance hemodialysis, and 40 healthy controls. Clinical and laboratory parameters, including genetic variation in VDR gene (BsmI), were assessed. In addition, echocardiography and intima-media thickness were performed for all subjects. RESULTS: There was no significant difference in the distribution of BsmI genotypes either in patients or in the control group. The frequency of the B allele of BsmI polymorphism (41.6%) in dialysis patients was similar to that of healthy control subjects (39.2%). Patients with BB genotype had significantly lower serum concentrations of 25-hydroxy vitamin D compared to both Bb and bb genotypes. The number of B alleles was positively correlated with left ventricular mass index (LVMI), but not with intima-media thickness. CONCLUSION: These results suggest that the B alleles of the BsmI polymorphism could be considered as novel markers of altered vitamin D signaling in ESRD patients, and this alteration in BB genotype produces an increase in left ventricle mass.

CRP and acute renal rejection: a marker to the point.

OBJECTIVES: C-reactive protein (CRP) is increased in end-stage renal disease patients. Recent studies have shown positive associations between inflammatory markers and cardiovascular mortality in kidney transplant recipients. The aim of the present study was to examine the correlation between CRP and early detection of renal allograft rejection. Furthermore, investigate the association between pretransplant levels of CRP with the development of acute renal allograft rejection as a possible predictive marker. METHODS: Ninety-one renal transplant recipients were sequentially analyzed. The median follow up of patients was 8 weeks. Basal and 8 weeks post transplant CRP levels were assessed. RESULTS: CRP levels were significantly higher in allograft rejection both in the pretransplant (n = 25, P = 0.001) and postransplant (n = 33, P = 0.001) phases when compared to those without rejection. By stepwise multiple regression analysis, rejection in transplanted patients was independently correlated to albumin/creatinine ratio and CRP 8 weeks after transplantation. CONCLUSION: Elevated pretransplant serum CRP level is a risk predictor for acute rejection episodes and may be a useful predictive marker in the follow-up of post-transplantation patients.

Correlations of urinary biomarkers, TNF-like weak inducer of apoptosis (TWEAK), osteoprotegerin (OPG), monocyte chemoattractant protein-1 (MCP-1), and IL-8 with lupus nephritis.

OBJECTIVE: This case-controlled study was designed to correlate urinary biomarkers, TNF-like weak inducer of apoptosis (TWEAK), osteoprotegerin (OPG), monocyte chemoattractant protein-1 (MCP-1), and interleukin-8 (IL-8) levels, with renal involvement in a cohort of systemic lupus erythematosus (SLE) patients to examine their diagnostic performance. PATIENTS AND METHODS: In 73 SLE patients, and in 23 healthy volunteers, urinary levels of TWEAK, OPG, MCP-1, and IL-8 levels were measured. Disease activity was assessed by total SLE disease activity index, and renal activity by renal activity index (rSLEDAI), and both were correlated with urinary biomarkers. Sensitivity, specificity, and predictive values of individual biomarkers to predict lupus nephritis were also calculated. RESULTS: Significantly higher levels of urinary biomarkers were observed in SLE patients with lupus nephritis (LN) compared with those without LN (TWEAK, p < 0.001; MCP-1, p < 0.001; OPG, p < 0.001; IL-8, p < 0.032). Other significantly higher levels were observed in SLE patients with LN compared with control subjects (TWEAK, MCP-1, OPG, and IL-8 p < 0.001). Positive correlations were observed between rSLEDAI and TWEAK (r = 0.612 and p < 0.001), MCP-1 (r = 0.635 and p < 0.001), and OPG (r = 0.505 and p < 0.001). CONCLUSIONS: Urinary levels of TWEAK, OPG, and MCP-1 positively correlate with renal involvement as assessed by rSLEDAI with reasonable sensitivity, specificity, and predictive values to detect lupus nephritis while IL-8 was not significantly associated with global or rSLEDAI.

Relationship of increased circulating adrenomedullin with cardiac dysfunction, inflammation, oxidative stress and volume overload in hemodialysis patients.

Adrenomedullin (AM) is a peptide involved in cardiovascular homeostasis. The aim of our study was to investigate whether circulating AM might be related to cardiac function, volume overload, oxidative stress and inflammation in hemodialysis patients. Plasma adrenomedullin, C-reactive protein (CRP), oxidized LDL (ox-LDL), lipoprotein (a), systolic and diastolic cardiac functions were assessed before hemodialysis in 80 patients as well as in 40 healthy control subjects. Plasma adrenomedullin levels were significantly higher in the hemodialysis group compared to the control group. Plasma adrenomedullin levels were negatively correlated with systolic and diastolic blood pressure, S/D ratio, deceleration time, left ventricular ejection fraction, ox-LDL and lipoprotein (a). However, it was positively correlated with CRP, delta body weight, mitral E/A wave, and inferior vena cava diameter. Higher plasma adrenomedullin levels may provide a possible index of cardiac dysfunction, systemic inflammation, and volume overload conditions in haemodialysis patients with concomitant cardiovascular disease. In addition, the negative correlation between ox-LDL, lipoprotein (a) and adrenomedullin may suggest that endogenous AM is an important protective factor in anti-atherosclerosis and might be useful as a new target for prevention and therapy for the disease.

Association of fetuin-A and cardiac calcification and inflammation levels in hemodialysis patients.

BACKGROUND: Vascular calcification is commonly found in chronic kidney disease (CKD) patients and it is one of the predictors of cardiovascular death. Recently, several studies have demonstrated that low fetuin-A levels are associated with mortality in uremic patients. Objectives. To investigate the importance of non-traditional risk factors of calcification including fetuin-A, IL-6 and high sensitivity CRP (hsCRP) in hemodialysis patients and their relationship to the extent of cardiac calcification by means of multislice computed tomography (MSCT), and echocardiography. PATIENTS AND METHODS: The study was conducted on 70 hemodialysis patients as well as 20 healthy control subjects. All patients were subjected to MSCT for evaluation of calcium score in the coronary arteries as well as echocardiography for detecting valvular calcification. In addition, the patients were sampled for evaluation of inflammatory markers such as hsCRP and IL-6 and also fetuin-A. RESULTS: Mean serum fetuin-A was significantly lower in hemodialysis patients than controls subjects. By dividing the patients into tertiles of serum fetuin-A, a significant association between low levels of fetuin-A and high calcium score and valvular calcification were found. Multiple regression analysis showed that calcium scoring and IL-6 were the most independent risk factors for serum fetuin-A levels. CONCLUSION: Serum fetuin-A showed important association with coronary, valvular calcification and inflammation in hemodialysis patients. Assessment of both cardiac calcification and serum levels of fetuin-A may be of value to identify those subjects at higher risk of development and progression of vascular lesion and may be a novel therapeutic approach.

Apelin: a potential link between inflammation and cardiovascular disease in end stage renal disease patients.

BACKGROUND AND OBJECTIVES: Cardiovascular disease is the leading cause of morbidity and mortality in hemodialysis patients. Increasing evidence suggests a role for apelin in the pathology of the cardiovascular system. In the present study, the plasma level of apelin was studied in patients with hemodialysis to assess the effect of renal transplantation and dialysis session on plasma apelin and whether circulating apelin levels reflect cardiovascular homeostasis and inflammation in these patients. PATIENTS AND METHODS: Plasma apelin, high sensitive CRP (hsCRP) and IL-6 levels were investigated in 30 end stage renal disease (ESRD) patients on maintenance hemodialysis (HD), a group of 15 HD patients scheduled for renal transplantation and a group of 15 HD patients on maintenance HD, as well as ten healthy volunteer subjects who served as controls. An echocardiography was performed for all subjects. RESULTS: Plasma apelin levels were significantly lower in hemodialyzed patients compared to controls. Plasma apelin was also found to be positively correlated with left ventricular end systolic dimension (LVESD), left ventricular end diastolic dimension (LVEDD), interventricular septum (IVS), right ventricle (RV), left atrium (LA), Aorta (Ao), while, it was negatively correlated with hsCRP and IL-6 in ESRD patients. Regarding the effect of hemodialysis on plasma apelin levels, no significant effect was found after a single hemodialysis session, while levels increased significantly in the early post-transplant period. CONCLUSIONS: Apelin is related to echocardiographic features and inflammatory markers in hemodialyzed patients. Apelin may provide a mechanism for systemic inflammatory monitoring and adaptive regulation of cardiovascular function.