Unit:
Κατεύθυνση Κλινική Βιοχημεία - Μοριακή ΔιαγνωστικήLibrary of the School of Science
Supervisors info:
Ευρύκλεια Λιανίδου: Καθηγήτρια Αναλυτικής Χημείας, Σχολή Θετικών Επιστημών, Τμήμα Χημείας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Μέτρηση βιοδεικτών χρόνιας νεφρικής νόσου σε δείγματα πλάσματος με στοχευμένη πρωτεομική ανάλυση
Translated title:
Biomarker determination of chronic kidney disease in plasma samples with targeted proteomic analysis
Summary:
Chronic Kidney Disease (CKD) is a major public health problem. Today, the diagnosis of Chronic Kidney Disease is currently based on detecting the reduction in the estimated glomerular filtration rate (eGFR) and the presence of albuminuria. However, these indicators are not suitable in assessing the progress of the disease. In particular, eGFR indicator suggests the current state of kidney function and it does not present prognostic potential but only in advanced stages. Instead albuminuria can be used to predict the progression of Chronic Kidney Disease, whether or not combined with eGFR, but is of low accuracy. Nevertheless, the effective prognosis of the disease is vital for its management and as well as for the appropriate treatment. The aim of the following study is to test the specific plasma proteins which may be related to the severity and progression of Chronic Kidney Disease through the development of LC-MRM.
In order to develop the method, plasma samples from 46 patients with different stages of Chronic Kidney Disease were used. A choice of 39 plasma proteins was chosen as long as they were found to differ significantly between patients presenting with disease progression and patients who did not present Chronic Kidney Disease progression. Subsequently, the LC-MRM method was developed in order to perform quantification assays in which one peptide with three transitions each was selected for each protein. Finally, only 2 of the proteins were found to correlate significantly with the progression of Chronic Kidney Disease.
Through this study the opportunity of the LC-MRM method for the simultaneous measurement of several plasma proteins that could help in the prognosis of Chronic Kidney Disease is presented. The same method is currently applied to 488 samples.
Main subject category:
Science
Keywords:
chronic kidney disease, biomarkers, proteomics, mass spectrometry, multiple reaction monitoring, absolute quantification
