Urinary peptides provide information about the risk of mortality across a spectrum of diseases and scenarios.
Felix KellerJoachim BeigeJustyna SiwyAlexandre MebazaaDewei AnHarald MischakJoost P SchanstraMarika MokouPaul PercoJan A StaessenAntonia VlahouLatosinska AgnieszkaPublished in: Journal of translational medicine (2023)
The COV50 classifier is predictive of death in the absence of SARS-CoV-2 infection, suggesting that it detects pre-existing vulnerability. This prediction is mainly based on collagen fragments, possibly reflecting disturbances in the integrity of the extracellular matrix. These data may serve as a basis for proteomics-guided intervention aiming towards manipulating/ improving collagen turnover, thereby reducing the risk of death.
Keyphrases
- extracellular matrix
- climate change
- respiratory syndrome coronavirus
- randomized controlled trial
- sars cov
- wound healing
- mass spectrometry
- tissue engineering
- cardiovascular events
- electronic health record
- bone mineral density
- big data
- risk factors
- cardiovascular disease
- amino acid
- label free
- coronary artery disease
- postmenopausal women
- deep learning