👤 Birhanu Belay

Obesity poses a significant global health challenge, with an alarming rise in prevalence rates. Traditional interventions, including lifestyle modifications, often fall short of achieving sustainable weight loss, ultimately leading to surgical interventions, which carry a significant burden and side effects. This necessitates the exploration of effective and relatively tolerable pharmacological alternatives. Among emerging therapeutic avenues, glucagon-based treatments have garnered attention for their potential to modulate metabolic pathways and regulate appetite. This paper discusses current research on the physiological mechanisms underlying obesity and the role of glucagon in energy homeostasis. Glucagon, traditionally recognized for its glycemic control functions, has emerged as a promising target for obesity management due to its multifaceted effects on metabolism, appetite regulation, and energy expenditure. This review focuses on the pharmacological landscape, encompassing single and dual agonist therapies targeting glucagon receptors (GcgRs), glucagon-like peptide-1 receptors (GLP-1Rs), glucose-dependent insulinotropic polypeptide receptors (GIPRs), amylin, triiodothyronine, fibroblast growth factor 21, and peptide tyrosine tyrosine. Moreover, novel triple-agonist therapies that simultaneously target GLP-1R, GIPR, and GcgR show promise in augmenting further metabolic benefits. This review paper tries to summarize key findings from preclinical and clinical studies, elucidating the mechanisms of action, safety profiles, and therapeutic potential of glucagon-based therapies in combating obesity and its comorbidities. Additionally, it explores ongoing research endeavors, including phase III trials, aimed at further validating the efficacy and safety of these innovative treatment modalities. Show less

Three-dimensional (3D) cancer models are revolutionising research, allowing for the recapitulation of an in vivo-like response through the use of an in vitro system, which is more complex and physiologically relevant than traditional monolayer cultures. Cancers such as ovarian (OvCa) are prone to developing resistance, are often lethal, and stand to benefit greatly from the enhanced modelling emulated by 3D cultures. However, the current models often fall short of the predicted response, where reproducibility is limited owing to the lack of standardised methodology and established protocols. This meta-analysis aims to assess the current scope of 3D OvCa models and the differences in the genetic profiles presented by a vast array of 3D cultures. An analysis of the literature (Pubmed.gov) spanning 2012-2022 was used to identify studies with paired data of 3D and 2D monolayer counterparts in addition to RNA sequencing and microarray data. From the data, 19 cell lines were found to show differential regulation in their gene expression profiles depending on the bio-scaffold (i.e., agarose, collagen, or Matrigel) compared to 2D cell cultures. The top genes differentially expressed in 2D vs. 3D included C3, CXCL1, 2, and 8, IL1B, SLP1, FN1, IL6, DDIT4, PI3, LAMC2, CCL20, MMP1, IFI27, CFB, and ANGPTL4. The top enriched gene sets for 2D vs. 3D included IFN-α and IFN-γ response, TNF-α signalling, IL-6-JAK-STAT3 signalling, angiogenesis, hedgehog signalling, apoptosis, epithelial-mesenchymal transition, hypoxia, and inflammatory response. Our transversal comparison of numerous scaffolds allowed us to highlight the variability that can be induced by these scaffolds in the transcriptional landscape and identify key genes and biological processes that are hallmarks of cancer cells grown in 3D cultures. Future studies are needed to identify which is the most appropriate in vitro/preclinical model to study tumour microenvironments. Show less