Title
4D-DIA Proteomics Uncovers New Insights into Host Salivary Response Following SARS-CoV-2 Omicron Infection
Date Issued
07 February 2025
Access level
open access
Resource Type
Controlled Vocabulary for Resource Type Genres::texto::revista::artículo::artículo original
Author(s)
de Lima I.L.
Cataldi T.R.
Brites C.
Labate M.T.V.
Vaz S.N.
Deminco F.
da Cunha G.S.
Labate C.A.
Eberlin M.N.
Universidade Presbiteriana Mackenzie
Universidade de São Paulo
Universidade Federal da Bahia
Universidade de São Paulo
Universidade Federal da Bahia
Universidade Federal da Bahia
Universidade Presbiteriana Mackenzie
Universidade de São Paulo
Universidade Presbiteriana Mackenzie
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.
Start page
499
End page
514
Volume
24
Issue
2
Subjects
Scopus EID
2-s2.0-85214987628
PubMed ID
Source
Journal of Proteome Research
ISSN of the container
15353907
Sources of information:
Scopus
Directorio de Producción Científica