Automated Author ProfileColman, Roos
Ghent University0000-0001-7855-5549
Colman, Roos
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Improvements in COVID-19 treatments, especially for the critically ill, require deeper understanding of the mechanisms driving disease pathology. The complement system is a crucial component of innate host defense, but can also contribute to tissue injury. Although all complement pathways have been implicated in COVID-19 pathogenesis, the upstream drivers and downstream effects on tissue injury remain poorly defined. We demonstrate that complement activation is primarily mediated by the alternative pathway, and we provide a comprehensive atlas of the complement alterations around the time of respiratory deterioration. Proteomic and single-cell sequencing mapping across cell types and tissues reveals a division of labor between lung epithelial, stromal, and myeloid cells in complement production, in addition to liver-derived factors. We identify IL-6 and STAT1/3 signaling as an upstream driver of complement responses, linking complement dysregulation to approved COVID-19 therapies. Furthermore, an exploratory proteomic study indicates that inhibition of complement C5 decreases epithelial damage and markers of disease severity. Collectively, these results support complement dysregulation as a key druggable feature of COVID-19.
Authors
- Van Damme, Karel F.A. ;
- Hoste, Levi ;
- Declercq, Jozefien ;
- De Leeuw, Elisabeth ;
- Maes, Bastiaan ;
- Martens, Liesbet ;
- Colman, Roos ;
- Browaeys, Robin ;
- Bosteels, Cédric ;
- Verwaerde, Stijn ;
- Vermeulen, Nicky ;
- Lameire, Sahine ;
- Debeuf, Nincy ;
- Deckers, Julie ;
- Stordeur, Patrick ;
- Depuydt, Pieter ;
- Van Braeckel, Eva ;
- Vandekerckhove, Linos ;
- Guilliams, Martin ;
- Schetters, Sjoerd T.T. ;
- Haerynck, Filomeen ;
- Tavernier, Simon J. ;
- Lambrecht, Bart N.
Improvements in COVID-19 treatments, especially for the critically ill, require deeper understanding of the mechanisms driving disease pathology. The complement system is a crucial component of innate host defense, but can also contribute to tissue injury. Although all complement pathways have been implicated in COVID-19 pathogenesis, the upstream drivers and downstream effects on tissue injury remain poorly defined. We demonstrate that complement activation is primarily mediated by the alternative pathway, and we provide a comprehensive atlas of the complement alterations around the time of respiratory deterioration. Proteomic and single-cell sequencing mapping across cell types and tissues reveals a division of labor between lung epithelial, stromal, and myeloid cells in complement production, in addition to liver-derived factors. We identify IL-6 and STAT1/3 signaling as an upstream driver of complement responses, linking complement dysregulation to approved COVID-19 therapies. Furthermore, an exploratory proteomic study indicates that inhibition of complement C5 decreases epithelial damage and markers of disease severity. Collectively, these results support complement dysregulation as a key druggable feature of COVID-19.
Authors
- Van Damme, Karel F.A. ;
- Hoste, Levi ;
- Declercq, Jozefien ;
- De Leeuw, Elisabeth ;
- Maes, Bastiaan ;
- Martens, Liesbet ;
- Colman, Roos ;
- Browaeys, Robin ;
- Bosteels, Cédric ;
- Verwaerde, Stijn ;
- Vermeulen, Nicky ;
- Lameire, Sahine ;
- Debeuf, Nincy ;
- Deckers, Julie ;
- Stordeur, Patrick ;
- Depuydt, Pieter ;
- Van Braeckel, Eva ;
- Vandekerckhove, Linos ;
- Guilliams, Martin ;
- Schetters, Sjoerd T.T. ;
- Haerynck, Filomeen ;
- Tavernier, Simon J. ;
- Lambrecht, Bart N.