scholarly journals Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jana Holmar ◽  
Ivo Fridolin ◽  
Fredrik Uhlin ◽  
Kai Lauri ◽  
Merike Luman

The aim of this study was to estimate the concentration of uric acid (UA) optically by using the original and processed ultraviolet (UV) absorbance spectra of spent dialysate. Also, the effect of using several wavelengths (multi-wavelength algorithms) for estimation was examined. This paper gives an overview of seven studies carried out in Linköping, Sweden, and Tallinn, Estonia. A total of 60 patients were monitored over their 188 dialysis treatment procedures. Dialysate samples were taken and analysed by means of UA concentration in a chemical laboratory and with a double-beam spectrophotometer. The measured UV absorbance spectra were processed. Three models for the original and three for the first derivate of UV absorbance were created; concentrations of UA from the different methods were finally compared in terms of mean values and SD. The mean concentration (micromol/L) of UA was49.7±23.0measured in the chemical laboratory, and48.9±22.4calculated with the best estimate among all models. The concentrations were not significantly different (P≥0.17). It was found that using a multi-wavelength and processed signal approach leads to more accurate results, and therefore these approaches should be used in future.

2008 ◽  
Author(s):  
J. M. Lochner ◽  
Aaron M. Hyre ◽  
Steven D. Christesen ◽  
Kristina R. Gonser

2005 ◽  
Vol 20 (11) ◽  
pp. 2458-2464 ◽  
Author(s):  
Fredrik Uhlin ◽  
Ivo Fridolin ◽  
Lars-Göran Lindberg ◽  
Martin Magnusson

2017 ◽  
Vol 41 (2) ◽  
pp. 84-88 ◽  
Author(s):  
Nikolai A. Bazaev ◽  
Nataliya I. Dorofeeva ◽  
Nikita M. Zhilo ◽  
Evgeniy V. Streltsov

Background: This paper presents results of in vitro trials of a wearable artificial kidney (WAK). Materials and methods: To carry out the trials, a test bench was developed. It consisted of a patient imitator, a tubing set and measuring equipment. Results: Our WAK can eliminate urea, uric acid and creatinine from spent dialysate with mean mass rates of 0.85 ± 0.1 g/h, 0.10 ± 0.04 g/h and 0.05 ± 0.01 g/h, respectively. Concentrations of Na+, Cl– and Ca2+ ions were kept in the 10% range from initial values. We demonstrated that our WAK can operate for 38 hours without having to replace expendable materials. Conclusions: The WAK that we developed can eliminate metabolites from spent dialysis fluid with mass rates that are sufficient to maintain stable, physiologically normal metabolite concentrations in patients’ blood.


Holzforschung ◽  
2006 ◽  
Vol 60 (6) ◽  
pp. 583-588 ◽  
Author(s):  
Gerald Koch ◽  
Hans-Georg Richter ◽  
Uwe Schmitt

Abstract The topochemical distribution of phenolic deposits in the vessels of afzelia (Afzelia spp.) and merbau (Intsia spp.) heartwood was investigated by means of cellular UV microspectrophotometry (UMSP) to characterise the chemical composition and synthesis by pit membrane-associated enzymes. UV absorbance spectra of the deposits attached to the vessel walls of merbau are characterised by a distinct maximum at a wavelength of 368 nm representing the UV absorbance of pure robinetin (C15H10O7). Deposits in the vessels of afzelia display a typical spectrum of kaempferol (C15H10O2) with two distinct maxima at 270 and 350 nm. The pit membranes and pit canals of associated vessel and parenchyma cells are impregnated by these compounds. These results verify the assumption that the synthesis of deposits in afzelia and merbau is regulated by pit membrane-associated enzymes.


Author(s):  
Carlo Donadio ◽  
Dario Calia ◽  
Silvia Ghimenti ◽  
Massimo Onor ◽  
Elisa Colombini ◽  
...  

Author(s):  
Sonal Sogani ◽  
Navendru Kumar Gupta ◽  
Suman Jain

Background and Objective: Dyslipidemia is one of the common disorders which are seen in most of the diabetes patients, which causes cardio vascular diseases. However, serum uric acid and lipid profiles are considered as the potential risk factor for developing diabetes, hypertension, stroke and cardiovascular diseases. Also the direct association of trace elements such as serum magnesium and hs-CRP in type 2 diabetes has been observed. The aim of the present study is to evaluate serum uric acid, serum magnesium and lipid profiles in type 2 diabetes mellitus patients for the risk factor of cardiovascular disease and its comparison with non diabetic subjects. Materials and Methods: This case-control study was conducted in the Department of Biochemistry, PIMS, Udaipur. The study included 100 patients with type 2 Diabetes Mellitus (both males and females) who were recruited from the institute’s medicine OPD and wards and 100 healthy controls (both males and females) with normal plasma glucose and with no symptoms suggestive of DM were included in the study. All the Biochemical parameters analysis was done on fully automated analyzer-ERBA 360 EM. Results:  The mean values of serum lipid profiles (serum cholesterol, serum triglycerides, VLDL, LDL) were compared between healthy controls and patients with type 2 DM, showed highly significant difference in patients with type 2 DM as compared with healthy controls (p<0.001). However, on comparing HDL between healthy controls and patients with type 2 DM, the difference seems to be significant (p<0.05). The mean values of RBS, HbA1c, uric acid and hs-CRP were highly significant in patients with type 2 DM as compared with healthy controls (p<0.001). The mean values of serum magnesium showed significant difference between healthy controls and patients with type 2 DM p<0.05). Interpretation and Conclusion: The common lipid abnormalities seen during diabetes induce dyslipidemia causing the development of CVD’s among diabetic patients. Also elevated levels of hs-CRP, hyperuricemia, hypomagnesium suggest that it could be a better prognosis for CVD’s and stroke in diabetic patients.


2019 ◽  
Vol 5 (1) ◽  
pp. 172-184 ◽  
Author(s):  
Nicolas Beauchamp ◽  
Caetano Dorea ◽  
Christine Beaulieu ◽  
Christian Bouchard ◽  
Manuel Rodriguez

This paper is the first to assess the chemical structures responsible for specific changes observed in the shape of the UV-visible absorbance spectra, and their relationship to disinfection by-products.


2015 ◽  
Vol 804 ◽  
pp. 163-166
Author(s):  
Naphat Chathirat

A model was developed to predict the UV absorbance spectra and thus concentration of single stranded DNA (ssDNA) samples. The model was developed from UV absorbance spectra of ssDNA oligodeoxynucleotides determined at different concentrations. The model, which would predict the concentration of ssDNA from the A260 value, is shown to predict absorbance spectra of ssDNA as shown when compared to the experimental result.


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