Discussion In this study, leveraging non-viral LNPs and the HITI-mediated genome editing method, we engineered a secretion-enabled Exe4 peptide, scExe4, and developed an in vivo scExe4 peptide production reservoir via knock-in into mouse liver cells
It may help promote the structural and functional integrity of the gut barrier

Glossary GLP-1 Glucagon-like peptide-1 GLP-1R GLP-1 receptor GLP-1Ras GLP-1R agonists DPP4 Dipeptidyl peptidase 4 GRPP Glicentin-related pancreatic polypeptide cAMP Cyclic adenosine monophosphate T2DM Type 2 Diabetes Mellitus PKA Protein Kinase A RGNEF4 Rap Guanine Nucleotide Exchange Factor 4 IP3 Inositol triphosphate pathway DAG Diacylglycerol CNS Central Nervous System BBB Blood Brain Barrier AD Alzheimers Disease PD Parkinsons Disease ROS Reactive Oxygen Species BDNF Brain-Derived Neurotrophic factor LTP Long Term Potentiation Ex-4 Exendin-4 MPTP 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine CVOTs CV outcome trials CRP C-reactive protein SCALE Satiety and Clinical Adipose Liraglutide Evidence STEP Semaglutide Treatment Effect in People with Obesity BMI Body Mass Index VLDL Very low-density lipoprotein LDL Low-density lipoprotein ApoB48 Apolipoprotein B48 EAT Epicardial adipose tissue DPP-4i Dipeptidyl peptidase-4 inhibitors SGLT-2i Sodium-glucose cotransporter-2 inhibitor RGCs Retinal Ganglion Cells IOP Intraocular pressure DR Diabetic Retinopathy GDM Gestational Diabetes Mellitus PAI-1 Plasminogen activator inhibitor type 1 VAM Vascular adhesion molecule PCOS Polycystic ovarian syndrome FH Functional hypogonadism References 1 GraafCdDonnellyDWoottenDLauJSextonPMillerMet al

Some reports have suggested a potential increase in suicidality risk associated with semaglutide, though the preponderance of current evidence does not indicate a heightened risk ( 13 , 14 )
The addition of the C-20 fatty acid moiety to Lys20 is hypothesized to increase the binding dose-response ratio due to an increased albumin affinity
To evaluate the potential of GLP-1s for CRC risk reduction, Jones and colleagues conducted a retrospective, real-world analysis utilizing de-identified data from the TriNetX network, which represents approximately 150 million patients across 106 health care organizations