Soluble Proteoglycans and Proteoglycan Fragments as Biomarkers of Pathological Extracellular Matrix Remodeling

Proteoglycan Research, Год журнала: 2024, Номер 2(4)

Опубликована: Окт. 1, 2024

Proteoglycans and their proteolytic fragments diffuse into biological fluids such as plasma, serum, urine, or synovial fluid, where they can be detected by antibodies mass-spectrometry. Neopeptides generated the proteolysis of proteoglycans are recognized specific neoepitope act a proxy for activity certain proteases. Proteoglycan proteoglycan potentially used prognostic, diagnostic, theragnostic biomarkers several diseases characterized dysregulated extracellular matrix remodeling osteoarthritis, rheumatoid arthritis, atherosclerosis, thoracic aortic aneurysms, central nervous system disorders, viral infections, cancer. Here, we review main mechanisms accounting presence soluble in fluids, potential application biomarkers, highlight challenges opportunities ahead clinical translation.

Язык: Английский

MixOmics Integration of Biological Datasets Identifies Highly Correlated Variables of COVID-19 Severity

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(10), С. 4743 - 4743

Опубликована: Май 15, 2025

Despite several years passing since the COVID-19 pandemic was declared, challenges remain in understanding factors that can predict severity of disease and complications SARS-CoV-2 infection. While many large-scale multi-omic datasets have been published, integration these has potential to substantially increase biological insight gained, allowing a more complex comprehension pathogenesis. Such may improve our ability progression, detect severe cases rapidly develop effective therapeutics. In this study, we applied an innovative machine learning algorithm delineate COVID based on paired samples proteomic transcriptomic data from small cohort patients testing positive for infection with differential severity. Targeted plasma proteomics onco-immune targeted panel were performed sequential 23 severe, 21 moderate 10 mild patients. We DIABLO, new integrative method, identify multi-omics biomarker panels discriminate between multiple phenotypic groups, such as varied As is known among sample group, train models using outcome variable calculate features are important predictors disease. highly correlated key variables discriminant analysis methods. This approach highlights power patients, offering better molecular mechanisms driving opportunity prediction trajectories

Язык: Английский

Understanding COVID-19 outcome: Exploring the prognostic value of soluble biomarkers indicative of endothelial impairment

Cytokine, Год журнала: 2024, Номер 180, С. 156673 - 156673

Опубликована: Июнь 9, 2024

Язык: Английский