The hepcidin-ferroportin axis influences mitochondrial function, proliferation, and migration in pulmonary artery endothelial and smooth muscle cells.

Elevated circulating hepcidin levels have been reported in patients with pulmonary artery hypertension (PAH). Hepcidin has been shown to promote proliferation of human pulmonary artery smooth muscle cells (PASMCs) in vitro, suggesting a potential role in PAH pathogenesis. However, the role of human pulmonary artery endothelial cells (PAECs) as either a source of hepcidin, or the effect of hepcidin on PAEC function is not as well described.

Association of Modifiable Lifestyle Risk Factors with High-Sensitivity Troponin T and I Concentrations and Clinical Outcomes.

Aims: We aimed to investigate the association between the burden of modifiable lifestyle risk factors (modLRF) with high-sensitivity cardiac troponins T and I (hsTnT/I) and clinical outcomes in a contemporary cohort.

Methods: Patients undergoing coronary angiography with available hsTnT/I concentrations and information about modLRF were included in the current single-centre study. The modLRF investigated were overweight, lack of physical activity, poor adherence to a Mediterranean diet and current smoking.

Inhibiting ADAM17 enhances the efficacy of olaparib in ovarian cancer spheroids.

Acquired or de novo resistance to poly (ADP-ribose) polymerase inhibitors (PARPi) is a major challenge to ovarian cancer treatment. Therefore, strategies to overcome PARPi resistance are critical to improve prognosis. The purpose of this study is to evaluate whether inhibition of ADAM17 sensitizes ovarian cancer to treatment with olaparib, a PARPi, thereby bypassing resistance mechanisms and improving treatment response.

Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks.

Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like anomaly detection, anti-money laundering, pattern mining and activity clustering (where data from traditional currencies is rarely available). The formalism of temporal networks offers a natural way of representing this data and offers access to a wealth of metrics and models.