| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7556866 | Analytical Biochemistry | 2018 | 27 Pages | 
Abstract
												Human serum albumin (HSA) is a multifunctional protein with ligand binding, transporting and buffering properties. Posttranslational modifications and ligand binding processes are closely related to albumin final functional status. In the last few decades, HSA has been characterized using a broad spectrum of methods, but quantitative data on the HSA's modifications among individuals have not been reported. The investigations presented here are based on the non-denaturing electrocatalytic screening of HSA samples isolated from the blood serum of healthy subjects. The electrocatalytic responses of the native protein (Rnat) varied depending on its modifications among individuals, which enable us to express the inter-individual variability. Consequently, the native HSA samples were subjected to ex vivo carbonylation with 50â¯mM methylglyoxal for 36â¯h. The differences between Rnat and the responses of artificially carbonylated protein (Rmod) corresponded with inter-individual binding capacity variations (ÎRâ¯=â¯Rnat-Rmod). The coefficients of variation for the Rnat and ÎR values of purified HSA samples were estimated to be 8.5 and 23.2%, respectively. A sensitive non-denaturing electrocatalytic assay was utilized to provide new data about albumin inter-individual variations and evaluate its oxidative modifications and binding capacity, which could be used for further studies targeting not only on HSA but also other clinically important proteins.
											Keywords
												CheRBCAIFCCRSDHSAcpsIUPACICCSerum albuminhuman serum albuminamino acidInternational Union of Pure and Applied Chemistryrelative standard deviationstandard deviationProtein oxidationbicinchoninic acidEnzyme-linked immunosorbent assayELISAInter-individual variationCoefficient of variationsMass spectrometryBinding capacityconfidence intervalInternational Federation of Clinical Chemistry and Laboratory MedicineMethylglyoxalMgOIntra-class correlationCarbonylation
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											Authors
												Jan Vacek, Marika Svrckova, Martina Zatloukalova, David Novak, Jitka Proskova, Katerina Langova, Dana Galuszkova, Jitka Ulrichova, 
											