Prevalence, Phenotype, and Correlates of Avoidant/Restrictive Food Intake Disorder Symptoms in the Gulf Cooperation Council: An Underserved Region.

Introduction: Prevalence estimates and correlates of ARFID in non-Western samples are lacking. This study aims to estimate the prevalence of ARFID symptoms, identify its phenotypes, and explore its correlates in a community sample from the Gulf Cooperation Council (GCC).

Method: Participants were parents of children aged 4-13 years (n = 87) and individuals of ≥ 14 years old (n = 433).

Let them eat (birthday) cake: reframing healthy eating in healthcare organizations.

Healthy eating is influenced by myriad factors ranging from individual to societal. Healthcare organizations have recently adopted healthy eating policies to improve food environments; however, how such policies shape practice is still unknown. This qualitative study explores perspectives on continuous quality improvement (CQI) among healthcare staff and managers working in hospital foodservices post-implementation of a healthy eating policy aimed at improving food environments.

Genetic Landscape of Mucosal Melanoma: Identifying Pathogenic Germline Variants.

Mucosal melanomas (MM) are rare but aggressive malignancies, comprising only 1.3% of all melanoma diagnoses, with a poor 5-year survival rate below 20%. MM lacks identifiable risk factors, presents with distinct mutational profiles, and is often diagnosed at an advanced stage, contributing to worse outcomes.

A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers.

Background: Alterations of metabolism, including changes in mitochondrial metabolism as well as glutathione (GSH) metabolism are a well appreciated hallmark of many cancers. Mitochondrial GSH (mGSH) transport is a poorly characterized aspect of GSH metabolism, which we investigate in the context of cancer. Existing functional annotation approaches from machine (ML) or deep learning (DL) models based only on protein sequences, were unable to annotate functions in biological contexts.

Patterns in progression from early-stage melanoma to late-stage melanoma: implications for survivorship follow-up.

This study determined the characteristics of patients with early-stage melanoma (IA-IIA) who later had stage IV recurrence. We retrospectively examined 880 melanoma patients and identified those who progressed to stage IV disease from an initial early-stage (n = 50). We observed a median latent period of 4 years between early-stage diagnosis and metastatic disease.