Evidence map›Paper›PMID 33415581›Full record

ArticleBiological trace element research2021

Diagnosis of Systemic Diseases Using Infrared Spectroscopy: Detection of Iron Overload in Plasma-Preliminary Study.

Leonardo Barbosa Leal, Marcelo Saito Nogueira, Jandinay Gonzaga Alexandre Mageski, Thiago Pereira Martini, Valério Garrone Barauna, Leonardo Dos Santos, Luis Felipe das Chagas E Silva de Carvalho

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Article in Biological trace element research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 26 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

7 authors at 4 institutions in 2 countries.

Leonardo Barbosa Leal *Department of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil. leal.leob@gmail.com.ORCID http://orcid.org/0000-0003-0968-4202
Marcelo Saito Nogueira *Tyndall National Institute/University College Cork - Lee Maltings Complex, Dyke Parade, Cork, T12R5CP, Ireland.
Jandinay Gonzaga Alexandre MageskiDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil.
Thiago Pereira MartiniInstitute of Science and Technology, Federal University of Sao Paulo, São José dos Campos, Brazil.
Valério Garrone BaraunaDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil.
Leonardo Dos SantosDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Marechal Campos Ave, 1468, Maruípe, Vitória, Espírito Santo, 29040-090, Brazil.
Luis Felipe das Chagas E Silva de CarvalhoUniversidade de Taubaté. R. dos Operários, 09 - Centro, Taubaté, São Paulo, 12020-340, Brazil.
Universidade Federal do Espírito Santo · BRUniversidade de Taubaté · BRUniversidade Federal de São Paulo · BRUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the important role of iron in cellular homeostasis, iron overload (IO) is associated with systemic and tissue deposits which damage several organs. In order to reduce the impact caused by IO, invasive diagnosis exams (e.g., biopsies) and minimally invasive methods were developed including computed tomography and magnetic resonance imaging. However, current diagnostic methods are still time-consuming and expensive. A cost-effective solution is using Fourier-transform infrared spectroscopy (FTIR) for real-time and molecular-sensitive biofluid analysis during conventional laboratory exams. In this study, we performed the first evaluation of the accuracy of FTIR for IO diagnosis. The study was performed by collecting FTIR spectra of plasma samples of five rats intravenously injected with iron-dextran and five control rats. We developed a classification model based on principal component analysis and supervised methods including J48, random forest, multilayer perceptron, and radial basis function network. We achieved 100% accuracy for the classification of the IO status and provided a list of possible biomolecules related to the vibrational modes detected. In this preliminary study, we give a first step towards real-time diagnosis for acute IO or intoxication. Furthermore, we have expanded the literature knowledge regarding the pathophysiological changes induced by iron overload.

Indexed as

Iron OverloadAnimalsIronIron-Dextran ComplexPrincipal Component AnalysisRatsSpectroscopy, Fourier Transform InfraredIronIron-Dextran ComplexFTIRInfrared spectroscopyIron accumulationIron overloadVibrational spectroscopy

Identifiers

PMID33415581
OpenAlexW3119568893

What OpenQuestion holds

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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.