Evidence map›Paper›PMID 39803891›Full record

ArticleJournal of proteome research2025

4D-DIA Proteomics Uncovers New Insights into Host Salivary Response Following SARS-CoV-2 Omicron Infection.

Iasmim Lopes de Lima, Thais Regiani Cataldi, Carlos Brites, Mônica Teresa Veneziano Labate, Sara Nunes Vaz, Felice Deminco, Gustavo Santana da Cunha, Carlos Alberto Labate, Marcos Nogueira Eberlin

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Iasmim Lopes de LimaPPGEMN, School of Engineering, Mackenzie Presbyterian University & MackGraphe - Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, São Paulo 01302-907, Brazil.ORCID 0000-0001-7119-7208
Thais Regiani CataldiDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, São Paulo 13418-900, Brazil.
Carlos BritesLAPI - Laboratory of Research in Infectology, University Hospital Professor Edgard Santos (HUPES), Federal University of Bahia (UFBA), Salvador, Bahia 40110-060, Brazil.
Mônica Teresa Veneziano LabateDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, São Paulo 13418-900, Brazil.
Sara Nunes VazLAPI - Laboratory of Research in Infectology, University Hospital Professor Edgard Santos (HUPES), Federal University of Bahia (UFBA), Salvador, Bahia 40110-060, Brazil.
Felice DemincoLAPI - Laboratory of Research in Infectology, University Hospital Professor Edgard Santos (HUPES), Federal University of Bahia (UFBA), Salvador, Bahia 40110-060, Brazil.
Gustavo Santana da CunhaPPGEMN, School of Engineering, Mackenzie Presbyterian University & MackGraphe - Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, São Paulo 01302-907, Brazil.
Carlos Alberto LabateDepartment of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo/ESALQ, Piracicaba, São Paulo 13418-900, Brazil.
Marcos Nogueira EberlinPPGEMN, School of Engineering, Mackenzie Presbyterian University & MackGraphe - Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian Institute, São Paulo, São Paulo 01302-907, Brazil.ORCID 0000-0003-4716-4080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since late 2021, Omicron variants have dominated the epidemiological scenario as the most successful severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sublineages, driving new and breakthrough infections globally over the past two years. In this study, we investigated for the first time the host salivary response of COVID-19 patients infected with Omicron variants (BA.1, BA.2, and BA.4/5) by using an untargeted four-dimensional data-independent acquisition (4D-DIA)-based proteomics approach. We identified 137 proteins whose abundance levels differed between the COVID-19 positive and negative groups. Salivary signatures were mainly enriched in ribosomal proteins, linked to mRNAviral translation, protein synthesis and processing, immune innate, and antiapoptotic signaling. The higher abundance of 14-3-3 proteins (YWHAG, YWHAQ, YWHAE, and SFN) in saliva, first reported here, may be associated with increased infectivity and improved viral replicative fitness. We also identified seven proteins (ACTN1, H2AC2, GSN, NDKA, CD109, GGH, and PCYOX) that yielded comprehension into Omicron infection and performed outstandingly in screening patients with COVID-19 in a hospital setting. This panel also presented an enhanced anti-COVID-19 and anti-inflammatory signature, providing insights into disease severity, supported by comparisons with other proteome data sets. The salivary signature provided valuable insights into the host's response to SARS-CoV-2 Omicron infection, shedding light on the pathophysiology of COVID-19, particularly in cases associated with mild disease. It also underscores the potential clinical applications of saliva for disease screening in hospital settings. Data are available via ProteomeXchange with the identifier PXD054133.

Indexed as

COVID-19ProteomeProteomicsSalivaSARS-CoV-214-3-3 ProteinsAdultAgedFemaleHumansMaleMiddle Aged14-3-3 ProteinsProteomeCOVID-19DIA-PASEFmass spectrometryOmicronproteomicssalivaSARS-CoV-2

Identifiers

PMID39803891
PMCPMC11812090

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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.