Evidence map›Paper›PMID 40581904›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Diagnostic screening of COVID-19 based on multiomics data by high-resolution mass spectrometry (MALDI (+)-TOF MS and ESI(±)-Orbitrap MS).

Camila Medeiros de Almeida, Larissa Campos Motta, Gabriely Silveira Folli, Juliana de Mello do Carmo, Andréa Rodrigues Chaves, José Brango-Vanegas, Rosiane Andrade da Costa, Octavio Luiz Franco, Frederico Garcia Pinto, Denise Coutinho Endringer and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 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

14 authors.

Camila Medeiros de AlmeidaFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Larissa Campos MottaFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Gabriely Silveira FolliFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Juliana de Mello do CarmoFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Andréa Rodrigues ChavesChromatography and Mass Spectrometry Laboratory, Institute of Chemistry, Federal University of Goiás, Goiânia, GO, Brazil.
José Brango-VanegasCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology, Catholic University of Brasília, Brasília, DF, Brazil.
Rosiane Andrade da CostaCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology, Catholic University of Brasília, Brasília, DF, Brazil.
Octavio Luiz FrancoCenter for Proteomic and Biochemical Analysis, Graduate Program in Genomic Sciences and Biotechnology, Catholic University of Brasília, Brasília, DF, Brazil.
Frederico Garcia PintoFederal University of Viçosa - Campus Rio Paranaíba, Rio Paranaíba, MG, Brazil.
Denise Coutinho EndringerPharmaceutical Science Graduate Program, Universidade Vila Velha, Vila Velha, ES, Brazil.
Paulo Roberto FilgueirasFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Valério Garrone BaraunaDepartment of Physiological Sciences, Federal University of Espírito Santo, Vitória, ES, Brazil.
José Geraldo MillFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil.
Wanderson RomãoFederal University of Espírito Santo- Chemistry Department, Vitória, ES, Brazil. wandersonromao@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe urgency for rapid diagnostics during the COVID-19 pandemic in 2020 highlighted the importance of effective methods such as RT-PCR, however multiomics analyses offer a more comprehensive approach, going beyond simple viral detection to the biological understanding of the disease.

objectivethis study aimed to devise an effective multiomic method for differentiating SARS-CoV-2-infected patients, leveraging serum lipid and proteomic profiles.

methodElectrospray ionization mass spectrometry (ESI-MS) with an Orbitrap analyzer was used to investigate the lipid profile of 239 serum samples (119 positive and 120 negative for test ELISA for COVID-19). Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) was used to analyze the proteomic profile of 300 serum samples (150 positive and 150 negative for test ELISA for SARS-CoV-2). After processing MS data and selecting variables, statistical analyses such as the Volcano plot, Heatmap, Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Support Vector Machine (SVM) were performed to distinguish the most relevant variables to classify samples that presented or did not present antibodies for SARS-CoV-2.

resultsLipidomics analysis using ESI(±)-Orbitrap MS and SVM models, showed sensitivities of 96.67% and 100%, specificities of 82.14% and 96.88%, and accuracies of 89.66% and 98.44% for positive and negative ion mode analyses, respectively. For Proteomics analyses using MALDI(+)-TOF MS, the linear PLS-DA model demonstrated an accuracy of 99.10%.

conclusionboth ESI-Orbitrap MS and MALDI-TOF MS techniques, combined with chemometrics, demonstrated promising alternatives with high sensitivity and specificity for distinguishing the immune response. However, the investigation of the lipid profile by direct infusion ESI MS represents a valuable and efficient approach that reinforces the application of mass spectrometry in clinical diagnostics, particularly when aiming for high-throughput and minimally invasive analysis.

Indexed as

COVID-19Spectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAdultCOVID-19 TestingFemaleHumansLipidsMaleMiddle AgedMultiomicsPrincipal Component AnalysisProteomicsSARS-CoV-2LipidsChemometricCOVID-19ESI-Orbitrap MSMALDI-TOF MSMass spectrometry

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.