Molecular mechanisms of GSK3β-driven modulation of ABLIM1 and titin interactions in cardiac muscle.

The heart adapts to cardiac demand through a variety of mechanisms. Some of these adaptations include chemical modifications of myofilament proteins responsible for cell contraction. Interestingly, many of these chemical modifications, such as phosphorylation, are found in unstructured, or intrinsically disordered, regions of proteins.

ST3 beta-galactoside alpha-2,3-sialyltransferase 1 (ST3Gal1) synthesis of Siglec ligands mediates anti-tumour immunity in prostate cancer.

Immune checkpoint blockade has yet to produce robust anti-cancer responses for prostate cancer. Sialyltransferases have been shown across several solid tumours, including breast, melanoma, colorectal and prostate to promote immune suppression by synthesising sialoglycans, which act as ligands for Siglec receptors. We report that ST3 beta-galactoside alpha-2,3-sialyltransferase 1 (ST3Gal1) levels negatively correlate with androgen signalling in prostate tumours.

"Are you otherwise fit and well?": Past medical history questions in UK paediatric consultations.

Unlabelled: Accurate diagnosis and treatment depend upon detailed knowledge of both the child's presenting symptoms and their past medical history. However, the process of soliciting past medical history has never been subject to systematic scrutiny in actual clinical practice.

Objective: To examine the function of the question "are you otherwise fit and well?" to elicit a child's general medical history in UK paediatric allergy outpatient consultations.

Explainable hierarchical clustering for patient subtyping and risk prediction.

We present a pipeline in which machine learning techniques are used to automatically identify and evaluate subtypes of hospital patients admitted between 2017 and 2021 in a large UK teaching hospital. Patient clusters are determined using routinely collected hospital data, such as those used in the UK's National Early Warning Score 2 (NEWS2). An iterative, hierarchical clustering process was used to identify the minimum set of relevant features for cluster separation.