4-cresol-sulfate and Diabetes-Mellitus

4-cresol-sulfate has been researched along with Diabetes-Mellitus* in 3 studies

Other Studies

3 other study(ies) available for 4-cresol-sulfate and Diabetes-Mellitus

ArticleYear
Serum
    Toxins, 2019, 12-21, Volume: 12, Issue:1

    Topics: Aged; Blood Pressure; C-Reactive Protein; Chromatography, High Pressure Liquid; Cresols; Diabetes Mellitus; Female; Humans; Kidney Failure, Chronic; Male; Mass Spectrometry; Middle Aged; Predictive Value of Tests; Pulse Wave Analysis; Renal Dialysis; Risk Factors; Sulfuric Acid Esters; Vascular Stiffness

2019
Left ventricular global longitudinal strain is associated with cardiovascular risk factors and arterial stiffness in chronic kidney disease.
    BMC nephrology, 2015, Jul-18, Volume: 16

    Global longitudinal strain (GLS) has emerged as a superior method for detecting left ventricular (LV) systolic dysfunction compared to ejection fraction (EF) on the basis that it is less operator dependent and more reproducible. The 2-dimensional strain (2DS) method is easily measured and integrated into a standard echocardiogram. This study aimed to determine the relationship between GLS and traditional and chronic kidney disease (CKD)-related risk factors of cardiovascular disease (CVD) in patients with CKD.. A cross sectional study of patients with moderate CKD stages 3 and 4 (n = 136). Clinical characteristics, anthropometric, biochemical data including markers of inflammation [C-reactive protein (CRP)], uremic toxins [indoxyl sulphate (IS), p-cresyl sulphate (PCS)], and arterial stiffness [pulse wave velocity (PWV)] were measured. Inducible ischemia was detected using exercise stress echocardiogram. GLS was determined from 3 standard apical views using 2-dimensional speckle tracking and EF was measured using Simpson's rule. Associations between GLS and traditional and CKD-related risk factors were explored using multivariate models.. The study population parameters included: age 59.4 ± 9.8 years, 58 % male, estimated glomerular filtration rate (eGFR) 44.4 ± 10.1 ml/min/1.73 m(2), GLS -18.3 ± 3.6 % and EF 65.8 % ± 7.8 %. This study demonstrated that GLS correlated with diabetes (r = 0.21, p = 0.01), history of heart failure (r = 0.20, p = 0.01), free IS (r = 0.24, p = 0.005) free PCS (r = 0.23, p = 0.007), body mass index (BMI) (r = 0.28, p < 0.001), and PWV (r = 0.24, p = 0.009). Following adjustment for demographic, baseline co-morbidities and laboratory parameters, GLS was independently associated with free IS, BMI and arterial stiffness (R(2) for model =  .30, p < 0.0001).. In the CKD cohort, LV systolic function assessed using GLS was associated with uremic toxins, obesity and arterial stiffness.

    Topics: Aged; Body Mass Index; Cresols; Cross-Sectional Studies; Diabetes Mellitus; Exercise Test; Female; Glomerular Filtration Rate; Heart Failure; Humans; Indican; Male; Middle Aged; Renal Insufficiency, Chronic; Risk Factors; Sulfuric Acid Esters; Ultrasonography; Vascular Stiffness; Ventricular Dysfunction, Left

2015
Does the adequacy parameter Kt/V(urea) reflect uremic toxin concentrations in hemodialysis patients?
    PloS one, 2013, Volume: 8, Issue:11

    Hemodialysis aims at removing uremic toxins thus decreasing their concentrations. The present study investigated whether Kt/V(urea), used as marker of dialysis adequacy, is correlated with these concentrations. Predialysis blood samples were taken before a midweek session in 71 chronic HD patients. Samples were analyzed by colorimetry, HPLC, or ELISA for a broad range of uremic solutes. Solute concentrations were divided into four groups according to quartiles of Kt/V(urea), and also of different other parameters with potential impact, such as age, body weight (BW), Protein equivalent of Nitrogen Appearance (PNA), Residual Renal Function (RRF), and dialysis vintage. Dichotomic concentration comparisons were performed for gender and Diabetes Mellitus (DM). Analysis of Variance in quartiles of Kt/V(urea) did not show significant differences for any of the solute concentrations. For PNA, however, concentrations showed significant differences for urea (P<0.001), uric acid (UA), p-cresylsulfate (PCS), and free PCS (all P<0.01), and for creatinine (Crea) and hippuric acid (HA) (both P<0.05). For RRF, concentrations varied for β₂-microglobulin (P<0.001), HA, free HA, free indoxyl sulfate, and free indole acetic acid (all P<0.01), and for p-cresylglucuronide (PCG), 3-carboxy-4-methyl-5-propyl-2-furanpropionic acid (CMPF), free PCS, and free PCG (all P<0.05). Gender and body weight only showed differences for Crea and UA, while age, vintage, and diabetes mellitus only showed differences for one solute concentration (UA, UA, and free PCS, respectively). Multifactor analyses indicated a predominant association of concentration with protein intake and residual renal function. In conclusion, predialysis concentrations of uremic toxins seem to be dependent on protein equivalent of nitrogen appearance and residual renal function, and not on dialysis adequacy as assessed by Kt/V(urea). Efforts to control intestinal load of uremic toxin precursors by dietary or other interventions, and preserving RRF seem important approaches to decrease uremic solute concentration and by extension their toxicity.

    Topics: Aged; Aged, 80 and over; beta 2-Microglobulin; Biomarkers; Creatinine; Cresols; Diabetes Mellitus; Female; Furans; Glucuronides; Hippurates; Humans; Indican; Indoleacetic Acids; Male; Middle Aged; Multivariate Analysis; Propionates; Renal Dialysis; Sulfuric Acid Esters; Treatment Outcome; Urea; Uremia; Uric Acid

2013