ClinicalTrials.gov
public full text
Public Domain
Predictive Markers of the Course of Covid-19 Based on Biomarker Serum Amyloid A (SAA) and Genetic Markers
This study focuses on identifying genetic and biochemical markers (biomarkers) that could help predict the course of COVID-19. The investigators aim to analyze samples taken from the nasopharynx (nose and throat), saliva, and blood of patients with acute respiratory tract infections who come to the Outpatient Clinic of the Department of Respiratory Diseases at the Thomayer University Hospital. The main objectives include measuring the expression of the SAA1 gene (using quantitative RT-PCR) and conducting broader gene expression analysis (using RNA sequencing) in nasopharyngeal cells. At the same time, the investigators will examine the patients' DNA to identify rare genetic variants or common polymorphisms that may influence their immune response to the virus. The goal is to relate the values of SAA expression with clinical and radiological status and outcome of the patients. The investigators hypothesize, that SAA may predict the severity of the disease, need for hospitalizastion and outcome of the patients.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Surfactant Protein Genetic Variants in COVID-19 Infection#1102932
- Inflammatory Mediators Associated With Infection by Respiratory Syncytial Virus#1101836
- Blood Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Kidney Transplant Patients#1262875
- Discovery of New Early Detection Biomarkers From Peripheral Blood of Acute Respiratory Distress Syndrome(ARDS)#905654
- Multi-Omics Integrative Analysis of Serum and Sputum to Uncover Key Determinants of Prognosis in Patients With ARDS#908806
Record · ID 1195224
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive