Evidence map›Paper›PMID 33924346›Full record

ArticleJournal of personalized medicine2021

Thermal Liquid Biopsy (TLB) of Blood Plasma as a Potential Tool to Help in the Early Diagnosis of Multiple Sclerosis.

Ferdinanda Annesi, Sonia Hermoso-Durán, Bruno Rizzuti, Rosalinda Bruno, Domenico Pirritano, Alfredo Petrone, Francesco Del Giudice, Jorge Ojeda, Sonia Vega, Oscar Sanchez-Gracia and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 13 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

13 authors at 4 institutions in 2 countries.

Ferdinanda AnnesiCNR-NANOTEC, Licryl-UOS Cosenza and CEMIF.Cal, Department of Physics, University of Calabria, 87036 Rende, Italy.
Sonia Hermoso-DuránInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0002-5902-4336
Bruno RizzutiCNR-NANOTEC, Licryl-UOS Cosenza and CEMIF.Cal, Department of Physics, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-1110-764X
Rosalinda BrunoDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.
Domenico PirritanoNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100 Cosenza, Italy.
Alfredo PetroneNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100 Cosenza, Italy.
Francesco Del GiudiceNeurological and Stroke Unit, Multiple Sclerosis Clinic, Annunziata Hospital, 87100 Cosenza, Italy.
Jorge OjedaDepartment of Statistical Methods, Universidad de Zaragoza, 50009 Zaragoza, Spain.
Sonia VegaInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain.
Oscar Sanchez-GraciaSOTER BioAnalytics, Enrique Val, 50011 Zaragoza, Spain.
Adrian Velazquez-CampoyInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0001-5702-4538
Olga AbianInstitute of Biocomputation and Physics of Complex Systems (BIFI), Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Universidad de Zaragoza, 50018 Zaragoza, Spain.ORCID 0000-0001-5664-1729
Rita GuzziCNR-NANOTEC, Licryl-UOS Cosenza and CEMIF.Cal, Department of Physics, University of Calabria, 87036 Rende, Italy.ORCID 0000-0001-6769-3399
Universidad de Zaragoza · ESOspedale Annunziata di Cosenza · ITIstituto di Nanotecnologia · ITUniversity of Calabria · IT

Funding

Gobierno de Aragón B25_17R to O.A.; E45_17R to A.V.C.Instituto de Salud Carlos III CPII13/00017Instituto de Salud Carlos III FI19/00146Instituto de Salud Carlos III PI18 349Ministerio de Economía, Industria y Competitividad, Gobierno de España BFU2016-78232-P
6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is frequently characterized by a variety of clinical signs, often exhibiting little specificity. The diagnosis requires a combination of medical observations and instrumental tests, and any support for its objective assessment is helpful.

objectiveHerein, we describe the application of thermal liquid biopsy (TLB) of blood plasma samples, a methodology for predicting the occurrence of MS with a noninvasive, quick blood test.

methodsTLB allows one to define an index (TLB score), which provides information about overall real-time alterations in plasma proteome that may be indicative of MS.

resultsThis pilot study, based on 85 subjects (45 MS patients and 40 controls), showed good performance indexes (sensitivity and specificity both around 70%). The diagnostic methods better discriminate between early stage and low-burden MS patients, and it is not influenced by gender, age, or assumption of therapeutic drugs. TLB is more accurate for patients having low disability level (≤ 3.0, measured by the expanded disability status scale, EDSS) and a relapsing-remitting diagnosis.

conclusionOur results suggest that TLB can be applied to MS, especially in an initial phase of the disease when diagnosis is difficult and yet more important (in such cases, accuracy of prediction is close to 80%), as well as in personalized patient periodic monitoring. The next step will be determining its utility in differentiating between MS and other disorders, in particular in inflammatory diseases.

Indexed as

differential scanning calorimetrymultiple sclerosismultivariate analysisplasma proteome profilethermal liquid biopsy

Identifiers

PMID33924346
PMCPMC8069382
OpenAlexW3155278437

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.