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Clinical classifiers of COVID-19 infection from novel ultra-high-throughput proteomics
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- SummaryThe COVID-19 pandemic is an unprecedented global challenge. Highly variable in its presentation, spread and clinical outcome, novel point-of-care diagnostic classifiers are urgently required. Here, we describe a set of COVID-19 clinical classifiers discovered using a newly designed low-cost high-throughput mass spectrometry-based platform. Introducing a new sample preparation pipeline coupled with short-gradient high-flow liquid chromatography and mass spectrometry, our methodology facilitates clinical implementation and increases sample throughput and quantification precision. Providing a rapid assessment of serum or plasma samples at scale, we report 27 biomarkers that distinguish mild and severe forms of COVID-19, of which some may have potential as therapeutic targets. These proteins highlight the role of complement factors, the coagulation system, inflammation modulators as well as pro-inflammatory signalling upstream and downstream of Interleukin 6. Application of novel methodologies hence transforms proteomics from a research tool into a rapid-response, clinically actionable technology adaptable to infectious outbreaks.Highlights-A completely redesigned clinical proteomics platform increases throughput and precision while reducing costs.-27 biomarkers are differentially expressed between WHO severity grades for COVID-19.-The study highlights potential therapeutic targets that include complement factors, the coagulation system, inflammation modulators as well as pro-inflammatory signalling both upstream and downstream of interleukin 6.
- Subjects :
- 0303 health sciences
Plasma samples
Coronavirus disease 2019 (COVID-19)
Computer science
High throughput proteomics
Computational biology
Proteomics
3. Good health
Rapid assessment
03 medical and health sciences
0302 clinical medicine
030220 oncology & carcinogenesis
Coagulation system
Throughput (business)
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....9903558e2a522b2e74c940b83fbb2b62