Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale.

An understanding of human brain individuality requires the integration of data on brain organization across people and brain regions, molecular and systems scales, as well as healthy and clinical states. Here, we help advance this understanding by leveraging methods from computational genomics to integrate large-scale genomic, transcriptomic, neuroimaging, and electronic-health record data sets. We estimated genetically regulated gene expression (gr-expression) of 18,647 genes, across 10 cortical and subcortical regions of 45,549 people from the UK Biobank.

An economic evaluation on sub-optimal breastfeeding in Hong Kong: Infant health outcomes and costs.

Aim: This study estimated the healthcare cost savings for the government due to the prevention of gastroenteritis (GE) infections and lower respiratory tract infections (LRTI) in the first year of life, attributed to an increase in the exclusive breastfeeding rate at 4 months in Hong Kong.

Methods: The model used the best available data inputs, with uncertainty considered using probabilistic sensitivity analysis. We additionally assessed the impact of neonatal jaundice (NNJ) on the economic benefits of increasing exclusive breastfeeding rates.

Incidence of Strabismus Post-Plaque Brachytherapy in Patients With Uveal Melanoma.

Purpose: To determine the incidence and type of strabismus in patients with uveal melanoma treated with plaque brachytherapy.

Design: Multicenter, retrospective incidence estimation study.

Methods: A total of 438 eyes of 438 patients with uveal melanoma treated with plaque brachytherapy between October 2011 and May 2021.

Extracellular matrices derived from different cell sources and their effect on macrophage behavior and wound healing.

A decellularized extracellular matrix (dECM) is an excellent biomaterial in regenerative medicine, due to its biomimetic nature in targeting tissues and organs. In this study, we prepared cell-derived ECMs (CDM) derived from four different cell sources, characterized them individually, and found that intrinsic properties of each CDM were substantially different in terms of the fibrous matrix, total protein, and biochemical factors. Based on such information, we selected two ECM candidates, the human lung fibroblast derived matrix (hFDM) and the umbilical cord-blood mesenchymal stem cell derived matrix (UMDM) for the study of ECM-macrophage interactions in vitro and in vivo.