Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

The biomarkers' landscape of post-COVID-19 patients can suggest selective clinical interventions.

Scientific reports - 15 Dec 2023

Paris Debora, Palomba Letizia, Albertini Maria Cristina, Tramice Annabella, Motta Lorenzo, Giammattei Eleonora, Ambrosino Pasquale, Maniscalco Mauro, Motta Andrea

Abstract excerpt

In COVID-19 clinical symptoms can persist even after negativization also in individuals who have had mild or moderate disease. We here investigated the biomarkers that define the post-COVID-19 clinical state analyzing the exhaled breath condensate (EBC) of 38 post COVID-19 patients and 38 sex and age-matched healthy controls via nuclear magnetic resonance (NMR)-based metabolomics. Predicted gene-modulated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers
Share to COVID-19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to MicroRNAs

Share to Phenotype

Source

Open in PubMed Open full text

Identifiers

PMID: 38110483
DOI: 10.1038/s41598-023-49601-4
PMCID: PMC10728085

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The biomarkers' landscape of post-COVID-19 patients can suggest selective clinical interventions.PMID 38110483Read ↗

Identification of Specific Biomarkers for Selective Clinical Interventions in Post- COVID-19 PatientsSemantic proximity Read ↗

Metabolic predictors of COVID-19 mortality and severity: A Survival AnalysisSemantic proximity Read ↗

Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19Semantic proximity Read ↗

Diagnostic, Prognostic and Mechanistic Biomarkers of COVID-19 Identified by Mass Spectrometric MetabolomicsSemantic proximity Read ↗

Clinical Study Protocol of the ‘Biomarkers of Severity of COVID-19 Patients’ (BIOMARCOVID) ProjectSemantic proximity Read ↗

Plasma proteomic and metabolomic characterization of COVID-19 survivors 6 months after dischargeSemantic proximity Read ↗

Metabolic Signatures of Pulmonary Embolism in COVID-19: Insights from Longitudinal Intensive Care Unit ProfilesSemantic proximity Read ↗

Amino Acid Metabolism is Significantly Altered at the Time of Admission in Hospital for Severe COVID-19 Patients: Findings from Longitudinal Targeted Metabolomics AnalysisSemantic proximity Read ↗

Human blood metabolites and risk of severe COVID-19: A Mendelian randomization study.Semantic proximity Read ↗

Follow-Up In Patients With Respiratory Disability After ARDS Related To COVID-19: A Systematic ReviewSemantic proximity Read ↗

MetaboliteCOVID: A manually curated database of metabolite markers for COVID-19.Semantic proximity Read ↗

COVID-19: A complex disease with a unique metabolic signature.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.