Evidence map›Paper›PMID 40446114›Full record

ArticleAnalytical chemistry2025

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Gabriely S Folli, Anne Louise S Torres, Matthews Martins, Luiz Ricardo Rodrigues Silva, Vinícius Bermond Marques, Maria Tereza Carneiro, Larissa Dias Roriz, Leonardo Dos Santos, Wanderson Romão, Francis L Martin and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Gabriely S FolliDepartamento of Chemistry, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória, Espírito Santo 29075-910, Brazil.ORCID 0000-0003-0665-7540
Anne Louise S TorresDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.ORCID 0009-0001-8848-936X
Matthews MartinsDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.ORCID 0000-0002-0050-4490
Luiz Ricardo Rodrigues SilvaDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.
Vinícius Bermond MarquesDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.
Maria Tereza CarneiroDepartamento of Chemistry, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória, Espírito Santo 29075-910, Brazil.
Larissa Dias RorizDepartamento of Chemistry, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória, Espírito Santo 29075-910, Brazil.
Leonardo Dos SantosDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.
Wanderson RomãoFederal Institute of Education, Science, and Technology of Espírito Santo, Av. Ministro Salgado Filho, 1000, Vila Velha, Espírito Santo 29106-010, Brazil.ORCID 0000-0002-2254-6683
Francis L MartinDepartment of Cellular Pathology, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool FY3 8NR, U.K.ORCID 0000-0001-8562-4944
Paulo R FilgueirasDepartamento of Chemistry, Federal University of Espírito Santo (UFES), Av. Fernando Ferrari, 514, Vitória, Espírito Santo 29075-910, Brazil.ORCID 0000-0003-2617-1601
Valério G BaraunaDepartment of Physiological Sciences, Federal University of Espírito Santo (UFES), Av. Marechal Campos, 1468, Maruípe, Vitória, Espírito Santo 29040-090, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by significant cellular damage due to its accumulation within organs. Thus, early diagnosis and accurate identification of the affected organs are critical for preventing irreversible damage and improving patient survival rates. Diagnosing tissue iron deposits relieves invasive biopsies with atomic absorption spectrometry (reserved for specific cases) or noninvasive but costly and time-consuming imaging techniques like computerized tomography and magnetic resonance, which provide limited analytical data and are unsuitable for routine screening. As an alternative, Fourier transform infrared spectroscopy combined with machine learning has emerged as a promising approach for supporting medical decision-making. In this study, we developed a minimally invasive method to identify IO and quantify iron levels in blood and tissues (heart, liver, spleen, and kidney) without biopsies. PLS-DA classification models and PLS regression models were constructed based on samples categorized into a control group (

Indexed as

IronIron OverloadAnimalsHumansKidneyLiverMaleMyocardiumSpectroscopy, Fourier Transform InfraredSpleenIron

Identifiers

PMID40446114
PMCPMC12163878

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.