Bibliographic Details
| Title: |
Molecular Mapping of Urinary Complement Peptides in Kidney Diseases |
| Authors: |
Ralph Wendt, Justyna Siwy, Tianlin He, Agnieszka Latosinska, Thorsten Wiech, Peter F. Zipfel, Aggeliki Tserga, Antonia Vlahou, Harald Rupprecht, Lorenzo Catanese, Harald Mischak, Joachim Beige |
| Source: |
Proteomes, Vol 9, Iss 4, p 49 (2021) |
| Publisher Information: |
MDPI AG, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Microbiology |
| Subject Terms: |
complement, peptide, urine, biomarker, kidney disease, proteomics, Microbiology, QR1-502 |
| More Details: |
Defective complement activation has been associated with various types of kidney disease. This led to the hypothesis that specific urine complement fragments may be associated with kidney disease etiologies, and disease progression may be reflected by changes in these complement fragments. We investigated the occurrence of complement fragments in urine, their association with kidney function and disease etiology in 16,027 subjects, using mass spectrometry based peptidomics data from the Human Urinary Proteome/Peptidome Database. Twenty-three different urinary peptides originating from complement proteins C3, C4 and factor B (CFB) could be identified. Most C3-derived peptides showed inverse association with estimated glomerular filtration rate (eGFR), while the majority of peptides derived from CFB demonstrated positive association with eGFR. Several peptides derived from the complement proteins C3, C4 and CFB were found significantly associated with specific kidney disease etiologies. These peptides may depict disease-specific complement activation and could serve as non-invasive biomarkers to support development of complement interventions through assessing complement activity for patients’ stratification and monitoring of drug impact. Further investigation of these complement peptides may provide additional insight into disease pathophysiology and could possibly guide therapeutic decisions, especially when targeting complement factors. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2227-7382 |
| Relation: |
https://www.mdpi.com/2227-7382/9/4/49; https://doaj.org/toc/2227-7382 |
| DOI: |
10.3390/proteomes9040049 |
| Access URL: |
https://doaj.org/article/7e8ebd244afd4f9091edf50c0554b3e4 |
| Accession Number: |
edsdoj.7e8ebd244afd4f9091edf50c0554b3e4 |
| Database: |
Directory of Open Access Journals |
