Evidence map›Paper›PMID 33117983›Full record

ArticleAnalytica chimica acta: X2019

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

Giada Bianchetti, Flavio Di Giacinto, Dario Pitocco, Alessandro Rizzi, Gaetano Emanuele Rizzo, Francesca De Leva, Andrea Flex, Enrico di Stasio, Gabriele Ciasca, Marco De Spirito and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Analytica chimica acta: X, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Giada BianchettiFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Flavio Di GiacintoFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Dario PitoccoFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Alessandro RizziFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Gaetano Emanuele RizzoFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Francesca De LevaFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Andrea FlexFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Enrico di StasioFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Gabriele CiascaFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Marco De SpiritoFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Giuseppe MaulucciFondazione Policlinico Universitario A, Gemelli IRCSS, Rome, Italy.
Università Cattolica del Sacro Cuore · ITAgostino Gemelli University Polyclinic · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Diabetes mellitusDMPC, dimyristoylphosphatidylcholineDPPC, dipalmitoilphosphatidylcholineFluorescence lifetime microscopyHbA1c, glycated HaemoglobinHDL-C, high-density lipoprotein cholesterolHDL, high-density lipoproteinsLDL-C, low-density lipoprotein cholesterolLDL, low-density lipoproteinsMembrane micropolarityMetabolic imagingPC, phosphatydilcholinePersonalized medicineRBC, red blood cellsRed blood cellsT1DM, Type 1 Diabetes MellitusT2DM, Type 2 diabetes Mellitus

Identifiers

PMID33117983
PMCPMC7587021
OpenAlexW2980433012

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.