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Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies

Discovery of diagnostic biomarkers for age-related neurodegenerative pathologies (NDDs) is essential for accurate diagnosis, following disease progression and drug development. Blood plasma and blood cells are important peripheral sources for NDDs’ biomarkers that, although present in lower concentr...

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Autores principales: Danailova, Avgustina, Todinova, Svetla, Gartcheva, Lidia, Bogdanova, Desislava, Zlatareva, Elena, Kalaydzhiev, Nikolay, Milanov, Ivan, Krumova, Sashka, Taneva, Stefka G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821040/
https://www.ncbi.nlm.nih.gov/pubmed/36614231
http://dx.doi.org/10.3390/ijms24010789
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author Danailova, Avgustina
Todinova, Svetla
Gartcheva, Lidia
Bogdanova, Desislava
Zlatareva, Elena
Kalaydzhiev, Nikolay
Milanov, Ivan
Krumova, Sashka
Taneva, Stefka G.
author_facet Danailova, Avgustina
Todinova, Svetla
Gartcheva, Lidia
Bogdanova, Desislava
Zlatareva, Elena
Kalaydzhiev, Nikolay
Milanov, Ivan
Krumova, Sashka
Taneva, Stefka G.
author_sort Danailova, Avgustina
collection PubMed
description Discovery of diagnostic biomarkers for age-related neurodegenerative pathologies (NDDs) is essential for accurate diagnosis, following disease progression and drug development. Blood plasma and blood cells are important peripheral sources for NDDs’ biomarkers that, although present in lower concentrations than in cerebrospinal fluid, would allow noninvasive diagnostics. To identify new biomarkers for Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS), in this work we have evaluated the modifications in the thermodynamic behavior of blood plasma proteome exploring differential scanning calorimetry. The plasma thermodynamics reflected the complexity and heterogeneity of the two pathologies. The unfolding temperature of the most abundant plasma protein albumin and the weighted average center of the calorimetric profile appeared as the two thermodynamic signatures that reflected modifications of the plasma proteome, i.e., strong thermal stabilization of albumin and plasma proteins’ interaction network, related to both pathologies. Based on those two signatures, both PD and ALS patients were stratified in two sets, except several cases with thermodynamic parameters that strongly differed from those of the calorimetric sets. Along with modifications of the plasma thermodynamic behavior, we found altered globulin levels in all PD and ALS patients’ plasma (higher level of α- and β-globulin fractions and lower level of γ-globulin fraction than the respective reference values) employing capillary electrophoresis. The presented results reveal the potential of calorimetry to indirectly identify NDDs’ biomarkers in blood plasma.
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spelling pubmed-98210402023-01-07 Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies Danailova, Avgustina Todinova, Svetla Gartcheva, Lidia Bogdanova, Desislava Zlatareva, Elena Kalaydzhiev, Nikolay Milanov, Ivan Krumova, Sashka Taneva, Stefka G. Int J Mol Sci Article Discovery of diagnostic biomarkers for age-related neurodegenerative pathologies (NDDs) is essential for accurate diagnosis, following disease progression and drug development. Blood plasma and blood cells are important peripheral sources for NDDs’ biomarkers that, although present in lower concentrations than in cerebrospinal fluid, would allow noninvasive diagnostics. To identify new biomarkers for Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS), in this work we have evaluated the modifications in the thermodynamic behavior of blood plasma proteome exploring differential scanning calorimetry. The plasma thermodynamics reflected the complexity and heterogeneity of the two pathologies. The unfolding temperature of the most abundant plasma protein albumin and the weighted average center of the calorimetric profile appeared as the two thermodynamic signatures that reflected modifications of the plasma proteome, i.e., strong thermal stabilization of albumin and plasma proteins’ interaction network, related to both pathologies. Based on those two signatures, both PD and ALS patients were stratified in two sets, except several cases with thermodynamic parameters that strongly differed from those of the calorimetric sets. Along with modifications of the plasma thermodynamic behavior, we found altered globulin levels in all PD and ALS patients’ plasma (higher level of α- and β-globulin fractions and lower level of γ-globulin fraction than the respective reference values) employing capillary electrophoresis. The presented results reveal the potential of calorimetry to indirectly identify NDDs’ biomarkers in blood plasma. MDPI 2023-01-02 /pmc/articles/PMC9821040/ /pubmed/36614231 http://dx.doi.org/10.3390/ijms24010789 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Danailova, Avgustina
Todinova, Svetla
Gartcheva, Lidia
Bogdanova, Desislava
Zlatareva, Elena
Kalaydzhiev, Nikolay
Milanov, Ivan
Krumova, Sashka
Taneva, Stefka G.
Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title_full Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title_fullStr Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title_full_unstemmed Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title_short Thermodynamic Signatures of Blood Plasma Proteome in Neurodegenerative Pathologies
title_sort thermodynamic signatures of blood plasma proteome in neurodegenerative pathologies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821040/
https://www.ncbi.nlm.nih.gov/pubmed/36614231
http://dx.doi.org/10.3390/ijms24010789
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