Technological Offers

Prognostic biomarker in COVID-19 patients

Description


Non-invasive method to predict the clinical deterioration of patients with COVID-19, based on the study of the mRNA expression of a gene.

The sample is taken from nasopharyngeal exudate.

Medical need

COVID-19 is a global health problem due to its high infection rate, the severity of the disease, the pressure on healthcare systems, its socioeconomic impact and the challenges in its control and prevention.

Having a prognostic marker for the evolution of patients with COVID-19 is critical to effectively manage the disease, allocate resources efficiently and improve patient outcomes.

Advantages


  • The sample is taken from nasopharyngeal exudate, which offers two advantages: it is non-invasive, and it improves sensitivity (the primary impact of the virus occurs in the upper respiratory tract).
  • The method allows results to be obtained quickly and affordably by RT-PCR, a technique widely used in the health sector.

Applications


Prognostic kit for the evolution of COVID patients.

Prevalence

During 2019:

15% of COVID-19 patients developed severe disease, 5% life-threatening critical illness.

Market

The market for COVID-19 diagnostic kits is estimated to grow at a CAGR of 8% over the period 2024-2028.

Other solutions

No other genetic prognostic biomarkers linking clinical deterioration and death have been validated.

Results

Two cohorts of patients were used:

  • Discovery cohort (149 patients): Panel analysis of genes related to inflammatory and immune response. A single gene was obtained with differential expression in patients who were discharged vs. admitted to ICU/exitus.exitus.
  • Validation cohort (168 patients): Analysis revealed a significant association (p<0.05).

 

Diagnosis


IBIMA Plataforma BIONAND inventors


MARILINA GARCÍA ARANDA
Research group of IBIMA involved: BA-14

MAXIMINO REDONDO BAUTISTA
Research group of IBIMA involved: BA-14

MARÍA ISABEL BARRAGÁN MALLOFRET
Research group of IBIMA involved: B-05

BEATRIZ MARTÍNEZ GÁLVEZ
Research group of IBIMA involved: B-05

Contact


Innovation and Technology Transfer Office of IBIMA Plataforma BIONAND

transferencia@ibima.eu