GLP-1 Agonists for Weight Loss: Pharmacology and Clinical Implications.

This review investigates the various pharmacologic treatments for overweight and obesity in adults, especially glucagon-like peptide 1 (GLP-1) agonists. In light of the globally expanding obesity pandemic and the limited selection of treatments, physicians must be equipped with knowledge regarding proven medications and their nuanced differences to best support patients on their path to a healthier lifestyle. In this review, we explore the current medical therapies for obesity, including all major categories, individual mechanisms of action, pharmacokinetics and pharmacodynamics, adverse effects, risks, and absolute contraindications. Additionally, we review the evidence of four recent clinical trials, two systematic reviews, and two meta-analyses describing the efficacy of GLP-1 agonists in decreasing weight, lowering HbA1c, and improving obesity comorbidities. We also discuss total cost and cost-effectiveness compared to other categories, long-term adherence, barriers to use, and reasons for discontinuation of this drug category. Our goal is that this review can serve as a framework to aid providers in building their knowledge and selecting the most advantageous weight loss medication for each patient.

CD4+ T-Cell Epitope Prediction by Combined Analysis of Antigen Conformational Flexibility and Peptide-MHCII Binding Affinity.

Antigen processing in the class II MHC pathway depends on conventional proteolytic enzymes, potentially acting on antigens in native-like conformational states. CD4+ epitope dominance arises from a competition among antigen folding, proteolysis, and MHCII binding. Protease-sensitive sites, linear antibody epitopes, and CD4+ T-cell epitopes were mapped in plague vaccine candidate F1-V to evaluate the various contributions to CD4+ epitope dominance. Using X-ray crystal structures, antigen processing likelihood (APL) predicts CD4+ epitopes with significant accuracy for F1-V without considering peptide-MHCII binding affinity. We also show that APL achieves excellent performance over two benchmark antigen sets. The profiles of conformational flexibility derived from the X-ray crystal structures of the F1-V proteins, Caf1 and LcrV, were similar to the biochemical profiles of linear antibody epitope reactivity and protease sensitivity, suggesting that the role of structure in proteolysis was captured by the analysis of the crystal structures. The patterns of CD4+ T-cell epitope dominance in C57BL/6, CBA, and BALB/c mice were compared to epitope predictions based on APL, MHCII binding, or both. For a sample of 13 diverse antigens, the accuracy of epitope prediction by the combination of APL and I-Ab-MHCII-peptide affinity reached 36%. When MHCII allele specificity was also diverse, such as in human immunity, prediction of dominant epitopes by APL alone reached 42% when using a stringent scoring threshold. Because dominant CD4+ epitopes tend to occur in conformationally stable antigen domains, crystal structures typically are available for analysis by APL, and thus, the requirement for a crystal structure is not a severe limitation.