Red blood cells membrane micropolarity as a novel diagnostic indicator of type 1 and type 2 diabetes.

DMPC, dimyristoylphosphatidylcholine DPPC, dipalmitoilphosphatidylcholine Diabetes mellitus Fluorescence lifetime microscopy HDL, high-density lipoproteins HDL-C, high-density lipoprotein cholesterol HbA1c, glycated Haemoglobin LDL, low-density lipoproteins LDL-C, low-density lipoprotein cholesterol Membrane micropolarity Metabolic imaging PC, phosphatydilcholine Personalized medicine RBC, red blood cells Red blood cells T1DM, Type 1 Diabetes Mellitus T2DM, Type 2 diabetes Mellitus

Journal

Analytica chimica acta: X
ISSN: 2590-1346
Titre abrégé: Anal Chim Acta X
Pays: Netherlands
ID NLM: 101772417

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 06 09 2019
revised: 09 10 2019
accepted: 10 10 2019
entrez: 29 10 2020
pubmed: 30 10 2020
medline: 30 10 2020
Statut: epublish

Résumé

Classification of the category of diabetes is extremely important for clinicians to diagnose and select the correct treatment plan. Glycosylation, oxidation and other post-translational modifications of membrane and transmembrane proteins, as well as impairment in cholesterol homeostasis, can alter lipid density, packing, and interactions of Red blood cells (RBC) plasma membranes in type 1 and type 2 diabetes, thus varying their membrane micropolarity. This can be estimated, at a submicrometric scale, by determining the membrane relative permittivity, which is the factor by which the electric field between the charges is decreased relative to vacuum. Here, we employed a membrane micropolarity sensitive probe to monitor variations in red blood cells of healthy subjects (n=16) and patients affected by type 1 (T1DM, n=10) and type 2 diabetes mellitus (T2DM, n=24) to provide a cost-effective and supplementary indicator for diabetes classification. We find a less polar membrane microenvironment in T2DM patients, and a more polar membrane microenvironment in T1DM patients compared to control healthy patients. The differences in micropolarity are statistically significant among the three groups (p<0.01). The role of serum cholesterol pool in determining these differences was investigated, and other factors potentially altering the response of the probe were considered in view of developing a clinical assay based on RBC membrane micropolarity. These preliminary data pave the way for the development of an innovative assay which could become a tool for diagnosis and progression monitoring of type 1 and type 2 diabetes.

Identifiants

pubmed: 33117983
doi: 10.1016/j.acax.2019.100030
pii: S2590-1346(19)30026-X
pmc: PMC7587021
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100030

Informations de copyright

© 2019 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Giada Bianchetti (G)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Fisica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Flavio Di Giacinto (F)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Fisica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Dario Pitocco (D)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Diabetes Care Unit, Università Cattolica Del Sacro Cuore, Rome, Italy.

Alessandro Rizzi (A)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Diabetes Care Unit, Università Cattolica Del Sacro Cuore, Rome, Italy.

Gaetano Emanuele Rizzo (GE)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Diabetes Care Unit, Università Cattolica Del Sacro Cuore, Rome, Italy.

Francesca De Leva (F)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Diabetes Care Unit, Università Cattolica Del Sacro Cuore, Rome, Italy.

Andrea Flex (A)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Cardiovascular Disease Division, Università Cattolica Del Sacro Cuore, Rome, Italy.

Enrico di Stasio (E)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Biochimica Clinica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Gabriele Ciasca (G)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Fisica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Marco De Spirito (M)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Fisica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Giuseppe Maulucci (G)

Fondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Istituto di Fisica, Università Cattolica Del Sacro Cuore, Rome, Italy.

Classifications MeSH