Identifying potential outcomes of patient engagement in primary care quality improvement: a modified Delphi study.

Rationale: A barrier to dedicating resources towards patient engagement in primary care quality improvement is the lack of clearly identified outcomes that might result from these initiatives.

Aims And Objectives: We sought to identify these potential outcomes at three healthcare levels as defined by the Institute of Medicine: 1) Micro/Direct Care; 2) Meso/Microsystem; and 3) Macro/Clinic/System using a Modified Delphi technique.

Method: Two focus groups of patients and primary care clinician leaders generated a first set of outcomes.

Young people's views and experience of diet-related inequalities in England (UK): a qualitative study.

Inequalities in diets contribute to overall inequalities in health. Economic inequality and inequalities in access to healthy food are key drivers of poor diet and ill health among young people (YP). Despite mounting evidence of structural barriers to healthy eating, less is known about how YP view and experience these inequalities where they live, and how to address them.

'It depends on where you were born…here in the North East, there's not really many job opportunities compared to in the South': young people's perspectives on a North-South health divide and its drivers in England, UK.

Background: Improving the public's understanding of how regional and socioeconomic inequalities create and perpetuate inequalities in health, is argued to be necessary for building support for policies geared towards creating a more equal society. However, research exploring public perceptions of health inequalities, and how they are generated, is limited. This is particularly so for young people.

Autophagy suppression in DNA damaged cells occurs through a newly identified p53-proteasome-LC3 axis.

Macroautophagy is thought to have a critical role in shaping and refining cellular proteostasis in eukaryotic cells recovering from DNA damage. Here, we report a mechanism by which autophagy is suppressed in cells exposed to bacterial toxin-, chemical-, or radiation-mediated sources of genotoxicity. Autophagy suppression is directly linked to cellular responses to DNA damage, and specifically the stabilization of the tumor suppressor p53, which is both required and sufficient for regulating the ubiquitination and proteasome-dependent reduction in cellular pools of microtubule-associated protein 1 light chain 3 (LC3A/B), a key precursor of autophagosome biogenesis and maturation, in both epithelial cells and an organoid model.

Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase.

The worldwide spread of the metallo-β-lactamases (MBL), especially New Delhi metallo-β-lactamase-1 (NDM-1), is threatening the efficacy of β-lactams, which are the most potent and prescribed class of antibiotics in the clinic. Currently, FDA-approved MBL inhibitors are lacking in the clinic even though many strategies have been used in inhibitor development, including quantitative high-throughput screening (qHTS), fragment-based drug discovery (FBDD), and molecular docking. Herein, a machine learning-based prediction tool is described, which was generated using results from HTS of a large chemical library and previously published inhibition data.