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Prognostic biomarker of COVID-19 severity and risks of sequelae post-acute infection [Technology offer]
The technology in a nutshell
New prognostic Biomarker enabling early identification of patients infected by SARS (including COVID-19) at risk of developing severe illness, clinical complications and postacute sequelae including pulmonary fibrosis.
State of the art
While efficient diagnostic methods have been developed to identify COVID-19 infection, biomarkers enabling early and accurate prediction of COVID-19 severity and adverse clinical development are still lacking. Despite the large amount of data generated during the pandemic phase, correlation of specific markers with disease severity and survival remains difficult considering the large number of analytes affected during the clinical evolution of the disease.
Translation of such biomarkers into clinical practice is however needed to recognize COVID-19 patients at risk of severe illness and post-acute sequelae who would most benefit from an early specific, novel and expensive treatment as monoclonal therapeutic antibodies.
The invention
The present invention is directed to the use of the heptapeptide of angiotensin (Ang-1-7) as biomarker for the prognosis and early decision-making of therapeutic treatment in COVID-19 patients. According to blood level of Ang-1-7, stratification of patients’ subpopulation at higher or lower risk of COVID-19 pulmonary fibrosis/sequelae is achieved. The combination of Ang-1-7 with additional markers provides means to rapidly provide the most appropriate treatment to the patients according to their risk profile ranging from mild treatment, Ang-1-7 agonists, antifibrotics or monoclonal therapeutic antibodies and/or oxygen supplementation at an early stage of the disease progression. This comprehensive patient stratification method is also of interest in the design of clinical trials so as to assess treatment efficacy according to subgroups of patients.
The technology is conducive to development of immunoassays including ELISA and CLEIA kits directly useful in clinical settings and could therefore efficiently contribute to limit clinical complications for COVID-19 patients receiving the most suitable treatment rapidly upon admission at the hospital.
Potential applications
- COVID-19 patient stratification upon hospital admission for therapeutic treatment decision-making
- Companion diagnostic for innovative treatment (therapeutic antibodies) under development
- Possible implementation on automated CLEIA platforms
Key advantage of the technology
- Early diagnosis of disease severity
- Global comprehensive prediction test discriminating at-risk patients subpopulation
- Therapeutic treatment decision tree based on composite index
- Potential to limit post-acute sequelae for patients
Technology Readiness Level
The team
The inventors
Relevant publications
- SARS-CoV-2 Diagnostic Tests: Algorithm and Field Evaluation From the Near Patient Testing to the Automated Diagnostic
Platform, Yin N., Debuysschere C., Decroly M., Bouazza F. Z., Collot V., Martin C., Ponthieux F., Dahma H., Gilbert M., Wautier M., Duterme C., De Vos N., Delforge M. L., Malinverni S., Cotton F., Bartiaux M., Hallin M., Front. Med., Apr 2021. DOI: 10.3389/fmed.2021.650581 - Post-discharge critical COVID-19 lung function related to severity of radiologic lung involvement at admission, Truffaut L., Demey L., Bruyneel A. V., Roman A., Alard S., De Vos N., Bruyneel M., Respiratory Research, Jan 2021, 22:29. DOI: 10.1186/s12931-021-01625-y
- Similar pulmonary functional outcomes at 3 months in critical COVID-19 survivors hospitalized during the first, second, and third
pandemic waves, Dusart C., Smet J., Chirumberro A., André S., De Bels D., Roman A., Claus M., Bruyneel A. V., Menez O., Alard S., De Vos N., Bruyneel M., Research Square preprint. DOI: 10.21203/rs.3.rs-1384691/v1
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Keywords
- Biomarker
- In Vitro Diagnosis/Prognosis
- COVID-19
- Disease Severity
Collaboration type
- Licence agreement
- R&D collaboration
IP status
- EP22153733.5
Priority Date: 27/01/2022
WO2023144281A1
Inventors
- Dr Nathalie De Vos
Contact
ULB Research Department
Fred Pierard
IP Manager
+32 (0)2 650 32 26
fred.pierard@ulb.be