Testing mixing rules for structural and dynamical quantities in multi-component crowded protein solutions.

Crowding effects significantly influence the phase behavior and the structural and dynamic properties of the concentrated protein mixtures present in the cytoplasm of cells or in the blood serum. This poses enormous difficulties for our theoretical understanding and our ability to predict the behavior of these systems. While the use of course grained colloid-inspired models allows us to reproduce the key physical solution properties of concentrated monodisperse solutions of individual proteins, we lack corresponding theories for complex polydisperse mixtures.

Use of etonogestrel subcutaneous implant in Sardinia, Italy: women's compliance and satisfaction.

Purpose Of The Article: The main aim of the study was to analyze the population of women who used etonogestrel implant, the reason that led them to this type of contraception, and the degree of compliance with it. Materials and methods: We carried out a retrospective study on women who had etonogestrel subcutaneous implant placed (n°47) over a 6-year period (2015-2021). We submitted the women a series of questions by telephone questionnaire (range 10-72 months after placements, mean 40 months) that investigated the comorbidities and side effects related to etonogestrel implant.

Combining Scattering Experiments and Colloid Theory to Characterize Charge Effects in Concentrated Antibody Solutions.

Charges and their contribution to protein-protein interactions are essential for the key structural and dynamic properties of monoclonal antibody (mAb) solutions. In fact, they influence the apparent molecular weight, the static structure factor, the collective diffusion coefficient, or the relative viscosity, and their concentration dependence. Further, charges play an important role in the colloidal stability of mAbs.

A multi-scale numerical approach to study monoclonal antibodies in solution.

Developing efficient and robust computational models is essential to improve our understanding of protein solution behavior. This becomes particularly important to tackle the high-concentration regime. In this context, the main challenge is to put forward coarse-grained descriptions able to reduce the level of detail, while retaining key features and relevant information.