Data · dataset · 2024
Proteomic snapshot of saliva samples predicts new pathways implicated in SARS-CoV-2 pathogenesis
Listed in e-cienciaDatos
Description
Background
Information on the microbiome s human pathways and active members that can affect SARS-CoV-2 susceptibility and pathogenesis in the salivary proteome is very scarce. Here, we studied a unique collection of samples harvested from April to June 2020 from unvaccinated patients.
Read the rest (5 more)
Methods
We compared 10 infected and hospitalized patients with severe (n = 5) and moderate (n = 5) coronavirus disease (COVID-19) with 10 uninfected individuals, including non-COVID-19 but susceptible individuals (n = 5) and non-COVID-19 and nonsusceptible healthcare workers with repeated high-risk exposures (n = 5). Results By performing high-throughput proteomic profiling in saliva samples, we detected 226 unique differentially expressed (DE) human proteins between groups (q-value ≤ 0.05) out of 3376 unambiguously identified proteins (false discovery rate ≤ 1%).
Major differences were observed between the non-COVID-19 and nonsusceptible groups. Bioinformatics analysis of DE proteins revealed human proteomic signatures related to inflammatory responses, central cellular processes, and antiviral activity associated with the saliva of SARS-CoV-2-infected patients (p-value ≤ 0.0004). Discriminatory biomarker signatures from human saliva include cystatins, protective molecules present in the oral cavity, calprotectins, involved in cell cycle progression, and histones, related to nucleosome functions.
The expression levels of two human proteins related to protein transport in the cytoplasm, DYNC1 (p-value, 0.0021) and MAPRE1 (p-value, 0.047), correlated with angiotensin-converting enzyme 2 (ACE2) plasma activity. Finally, the proteomes of microorganisms present in the saliva samples showed 4 main microbial functional features related to ribosome functioning that were overrepresented in the infected group. Conclusion Our study explores potential candidates involved in pathways implicated in SARS-CoV-2 susceptibility, although further studies in larger cohorts will be necessary.
Graphical Abstract
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.6084%2FM9.FIGSHARE.C.72488… ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.6084/m9.figshare.c.7248822.v1 ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.6084%2FM9.FI… ↗
metadata API · from edatos consorciomadrono es
Topics
- From keywords
- Cancer · Genetics · Immunology · Infectious diseases · Life Sciences · Medicine & Health · Microbiology · Psychology & Behavioral Science · Virology
- Inferred from text
- Disease 75%
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.6084/M9.FIGSHARE.C.7248822.V1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[disease].local:disease:disease | enrichment · edatos consorciomadrono es | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:310706 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Virology'] |
| concepts[field].anzsrc:field:320211 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:group:3105 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
| concepts[field].anzsrc:group:3107 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3204 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
| concepts[field].local:field:life-sciences | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:psychology-behavioral | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |