Aneurysms pose life-threatening risks due to the dilatation of the arteries and carry a high risk of rupture. Despite continuous research efforts, there are still no satisfactory or clinically effective pharmaceutical treatments for this condition. Accelerated inflammatory processes during aneurysm development lead to increased levels of matrix metalloproteinases (MMPs) and destabilization of the vessel wall through the degradation of the structural components of the extracellular matrix (ECM), mainly collagen and elastin.
View Article and Find Full Text PDFImmunotherapies are powerful disease-modifying agents in treating autoimmune diseases like rheumatoid arthritis (RA). However, their unique mechanisms of action confer a broad spectrum of immune-related adverse events (irAEs), which tend to be rare but complex, with significant risk for morbidity and mortality. We report a case of transverse myelitis in a patient with RA whose joint disease had been well-controlled with long-term intravenous abatacept.
View Article and Find Full Text PDFThe clinical prospects of cancer nanomedicines depend on effective patient stratification. Here we report the identification of predictive biomarkers of the accumulation of nanomedicines in tumour tissue. By using supervised machine learning on data of the accumulation of nanomedicines in tumour models in mice, we identified the densities of blood vessels and of tumour-associated macrophages as key predictive features.
View Article and Find Full Text PDFIntroduction: Clinical guidelines offer little guidance for treatment selection following inadequate response to conventional synthetic disease-modifying antirheumatic drug (csDMARD) in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) was validated to predict tumor necrosis factor inhibitor (TNFi) inadequate response. The decision impact of MSRC results on biologic and targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) selection was evaluated.
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