Evidence map›Paper›PMID 40997940›Full record

ArticleJournal of proteome research2025

Proteomics and Metabolomics Profiles of Unvaccinated Nonagenarian Patients with Severe SARS-CoV-2 Infection.

Mauricio Quiñones-Vega, Patricia Sosa-Acosta, Jéssica de Siqueira Guedes, Natália Pinto de Almeida, Mateus V de Castro, Moníze V R Silva, Luiz P Dell'Aquila, Álvaro Razuk-Filho, Pedro B Batista-Júnior, Mayana Zatz and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of proteome research, 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.

Mauricio Quiñones-VegaProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0003-3958-8190
Patricia Sosa-AcostaProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0003-3112-2329
Jéssica de Siqueira GuedesProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.
Natália Pinto de AlmeidaProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.
Mateus V de CastroHuman Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo 05508-000, Brazil.ORCID 0000-0002-8895-652X
Moníze V R SilvaHuman Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo 05508-000, Brazil.
Luiz P Dell'AquilaPrevent Senior Institute, São Paulo, São Paulo 04547-100, Brazil.
Álvaro Razuk-FilhoPrevent Senior Institute, São Paulo, São Paulo 04547-100, Brazil.
Pedro B Batista-JúniorPrevent Senior Institute, São Paulo, São Paulo 04547-100, Brazil.
Mayana ZatzHuman Genome and Stem Cell Research Center, University of São Paulo, São Paulo, São Paulo 05508-000, Brazil.
Fábio César Sousa NogueiraProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0001-5507-7142
Gilberto Barbosa DomontProteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil.ORCID 0000-0002-1329-6483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mortality rate of COVID-19 increases significantly in patients over the age of 90, although some elderly people in this category have experienced mild disease or have been asymptomatic. In this context, we aim to analyze the plasma proteomic and metabolomic profiles of unvaccinated nonagenarian patients who had severe manifestations of COVID-19 and either recovered or died and compare them with noninfected control subjects. Compared with healthy individuals, nonsurviving patients showed a reduced abundance of specific lipid-related proteins and metabolites, including APOH, APOC1, LCAT, 7-α-25-dihydroxycholesterol, 7-dehydrocholesterol, and phosphatidylethanolamine, which may serve as indicative markers of severity. Acute phase response, complement activation, and sphingolipids and phospholipids remain altered in recovered patients, indicating possible persistent effects of COVID-19. This study employs a multiomics approach to unveil key immune alterations in unvaccinated nonagenarians, shedding light on molecular signatures that may serve as predictive markers for disease severity and recovery in the elderly population.

Indexed as

COVID-19MetabolomeMetabolomicsProteomicsAged, 80 and overBiomarkersCase-Control StudiesFemaleHumansMaleSARS-CoV-2Severity of Illness IndexBiomarkersbiomarkersCOVID-19nonagenariansplasmaproteomics and metabolomics

Identifiers

PMID40997940
PMCPMC12604035

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.