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Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus

Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pr...

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Autores principales: Maulucci, Giuseppe, Cordelli, Ermanno, Rizzi, Alessandro, De Leva, Francesca, Papi, Massimiliano, Ciasca, Gabriele, Samengo, Daniela, Pani, Giovambattista, Pitocco, Dario, Soda, Paolo, Ghirlanda, Giovanni, Iannello, Giulio, De Spirito, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589169/
https://www.ncbi.nlm.nih.gov/pubmed/28880900
http://dx.doi.org/10.1371/journal.pone.0184109
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author Maulucci, Giuseppe
Cordelli, Ermanno
Rizzi, Alessandro
De Leva, Francesca
Papi, Massimiliano
Ciasca, Gabriele
Samengo, Daniela
Pani, Giovambattista
Pitocco, Dario
Soda, Paolo
Ghirlanda, Giovanni
Iannello, Giulio
De Spirito, Marco
author_facet Maulucci, Giuseppe
Cordelli, Ermanno
Rizzi, Alessandro
De Leva, Francesca
Papi, Massimiliano
Ciasca, Gabriele
Samengo, Daniela
Pani, Giovambattista
Pitocco, Dario
Soda, Paolo
Ghirlanda, Giovanni
Iannello, Giulio
De Spirito, Marco
author_sort Maulucci, Giuseppe
collection PubMed
description Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pronounced alterations in Type 1 diabetes mellitus (T1DM), could be the ideal candidate for monitoring the disease progression and the effects of therapies. On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes. Here, through a functional two-photon microscopy approach we retrieved fluidity maps at submicrometric scale in RBC of T1DM patients with and without complications, detecting an altered membrane equilibrium. We found that a phase separation between fluid and rigid domains occurs, triggered by systemic effects on membranes fluidity of glycation and oxidation. The phase separation patterns are different among healthy, T1DM and T1DM with complications patients. Blood cholesterol and LDL content are positively correlated with the extent of the phase separation patterns. To quantify this extent a machine learning approach is employed to develop a Decision-Support-System (DSS) able to recognize different fluidity patterns in RBC. Preliminary analysis shows significant differences(p<0.001) among healthy, T1DM and T1DM with complications patients. The development of an assay based on Phase separation of the plasma membrane of the Red Blood cells is a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus, and could allow customization and the selection of medical treatments in T1DM in clinical settings, and enable the early detection of complications.
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spelling pubmed-55891692017-09-15 Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus Maulucci, Giuseppe Cordelli, Ermanno Rizzi, Alessandro De Leva, Francesca Papi, Massimiliano Ciasca, Gabriele Samengo, Daniela Pani, Giovambattista Pitocco, Dario Soda, Paolo Ghirlanda, Giovanni Iannello, Giulio De Spirito, Marco PLoS One Research Article Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins can alter lipid density, packing and interactions, and are considered an important factor that affects fluidity variation in membranes. Red blood cells (RBC) membrane physical state, showing pronounced alterations in Type 1 diabetes mellitus (T1DM), could be the ideal candidate for monitoring the disease progression and the effects of therapies. On these grounds, the measurement of RBC membrane fluidity alterations can furnish a more sensitive index in T1DM diagnosis and disease progression than Glycosylated hemoglobin (HbA1c), which reflects only the information related to glycosylation processes. Here, through a functional two-photon microscopy approach we retrieved fluidity maps at submicrometric scale in RBC of T1DM patients with and without complications, detecting an altered membrane equilibrium. We found that a phase separation between fluid and rigid domains occurs, triggered by systemic effects on membranes fluidity of glycation and oxidation. The phase separation patterns are different among healthy, T1DM and T1DM with complications patients. Blood cholesterol and LDL content are positively correlated with the extent of the phase separation patterns. To quantify this extent a machine learning approach is employed to develop a Decision-Support-System (DSS) able to recognize different fluidity patterns in RBC. Preliminary analysis shows significant differences(p<0.001) among healthy, T1DM and T1DM with complications patients. The development of an assay based on Phase separation of the plasma membrane of the Red Blood cells is a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus, and could allow customization and the selection of medical treatments in T1DM in clinical settings, and enable the early detection of complications. Public Library of Science 2017-09-07 /pmc/articles/PMC5589169/ /pubmed/28880900 http://dx.doi.org/10.1371/journal.pone.0184109 Text en © 2017 Maulucci et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Maulucci, Giuseppe
Cordelli, Ermanno
Rizzi, Alessandro
De Leva, Francesca
Papi, Massimiliano
Ciasca, Gabriele
Samengo, Daniela
Pani, Giovambattista
Pitocco, Dario
Soda, Paolo
Ghirlanda, Giovanni
Iannello, Giulio
De Spirito, Marco
Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title_full Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title_fullStr Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title_full_unstemmed Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title_short Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
title_sort phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589169/
https://www.ncbi.nlm.nih.gov/pubmed/28880900
http://dx.doi.org/10.1371/journal.pone.0184109
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