Κατεύθυνση Κλινική Βιοχημεία - Μοριακή Διαγνωστική
Library of the School of Science

2017-09-21

2017

Lianoudaki Danai

Ευρύκλεια Λιανίδου, Καθηγήτρια Αναλυτικής Χημείας – Κλινικής Χημείας, Τμήμα Χημείας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών

Νικόλαος Θωμαΐδης, Αναπληρωτής Καθηγητής Αναλυτικής Χημείας-Τμήμα Χημείας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών

Ανδρέας Σκορίλας, Καθηγητής Κλινικής Βιοχημείας, Τμήμα Βιολογίας, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών

Ανάπτυξη LC-MS/MS (MRM-Multiple Reaction Monitoring) μεθοδολογιών σε δείγματα πλάσματος για την πρόβλεψη της εξέλιξης της Χρόνιας Νεφρικής Νόσου (ΧΝΝ)

Greek

Development of LC-MS / MS (MRM-Multiple Reaction Monitoring) methodologies in plasma samples to predict the progression of Chronic Kidney Disease (CKD)

Chronic Kidney Disease (CKD) is a major public health problem. The diagnosis of CKD is currently based on detecting the reduction in the estimated glomerular filtration rate (eGFR) and / or the presence of albuminuria. However, these indicators have serious limitations in assessing the progress of the disease. In particular, eGFR reflects the current state of kidney function and presents only prognostic potential in advanced stages. Albuminuria is often used to predict the progression of CKD, whether or not combined with eGFR, but is of low accuracy. Therefore, the effective prognosis of the disease is vital for its management as well as for the choice of appropriate treatment. The aim of this study is to test the correlation between specific plasma proteins and the severity and progression of CKD through the development of LC-MRM.
Plasma samples from 74 patients with different stages of CKD were used to develop the method. 39 plasma proteins were selected after they were found to differ significantly between patients presenting with disease progression and patients who did not present CKD progression. Quantification assays were developed based on the LC-MRM method in which three peptides with five transitions each were selected for each protein. Finally, 4 proteins were found to correlate significantly with the progression of CKD and the levels of eGFR.
This study highlights the potential of the LC-MRM method for the simultaneous measurement of several plasma proteins that could help in the prognosis of CKD. The same method is currently applied to 488 samples.

Science

analytical methods, proteomics, chronic kidney disease, biomarkers, plasma

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https://pergamos.lib.uoa.gr/uoa/dl/object/1932171