Beating Cardiac Cell Cultures From Different Developmental Stages of Rainbow Trout as a Novel Approach for Replication of Cardiac Fish Viruses.

Piscine orthoreovirus-1 and 3 (PRV-1, PRV-3) cause highly prevalent infection in cultured salmonids and can induce heart and skeletal muscle inflammation (HSMI) resulting in economic losses in aquaculture. However, to date, PRV-1 and PRV-3 have withstood replication in continuous cell lines. In this study, we used beating heart cell cultures obtained from different developmental stages of rainbow trout (Oncorhynchus mykiss) (RTC-L and RTC-A) and tested their ability to sustain replication of PRV-1 and PRV-3.

Exploring the Nutrition Care Journey of People Living With Obesity in Acute Care.

Background: Recent studies show a high prevalence in hospital populations and best practice evidence indicates that people living with obesity should receive dietetic advice. However, patients often do not receive this care in acute settings. Understanding the experiences of people living with obesity is crucial to designing successful strategies for management.

Impact of sex hormones on pheochromocytomas, paragangliomas, and gastroenteropancreatic neuroendocrine tumors.

Objective: The effects of sex hormones remain largely unexplored in pheochromocytomas and paragangliomas (PPGLs) and gastroenteropancreatic neuroendocrine tumors (GEP-NETs).

Methods: We evaluated the effects of estradiol, progesterone, Dehydroepiandrosterone sulfate (DHEAS), and testosterone on human patient-derived PPGL/GEP-NET primary culture cell viability (n = 38/n = 12), performed next-generation sequencing and immunohistochemical hormone receptor analysis in patient-derived PPGL tumor tissues (n = 36).

Results: In PPGLs, estradiol and progesterone (1 µm) demonstrated overall significant antitumor effects with the strongest efficacy in PPGLs with NF1 (cluster 2) pathogenic variants.

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant.