Liraglutide Impacts Iron Homeostasis in a Murine Model of Hereditary Hemochromatosis.
Nadejda Bozadjieva-KramerJae Hoon ShinNeil B BlokChesta JainNupur K DasJoseph Polex-WolfLotte Bjerre KnudsenYatrik M ShahRandy J SeeleyPublished in: Endocrinology (2024)
Classic hereditary hemochromatosis (HH) is an autosomal recessive iron-overload disorder resulting from loss-of-function mutations of the HFE gene. Patients with HH exhibit excessive hepatic iron accumulation that predisposes these patients to liver disease, including the risk for developing liver cancer. Chronic iron overload also poses a risk for the development of metabolic disorders such as obesity, type 2 diabetes, and insulin resistance. We hypothesized that liraglutide, GLP1 receptor agonist, alters iron metabolism while also reducing body weight and glucose tolerance in a mouse model of HH (global HFE knockout, HFE KO) and diet-induced obesity and glucose intolerance. The total body HFE KO and wild-type control mice were fed high-fat diet for 8 weeks. Mice were subdivided into liraglutide and vehicle-treated groups and received daily subcutaneous administration of the respective treatment once daily for 18 weeks. Liraglutide improved glucose tolerance and hepatic lipid markers and reduced body weight in a mouse model of HH, the HFE KO mouse, similar to wild-type controls. Importantly, our data show that liraglutide alters iron metabolism in HFE KO mice, leading to decreased circulating and stored iron levels in HFE KO mice. These observations highlight the potential that GLP1 receptor agonist could be used to reduce iron overload in addition to reducing body weight and improving glucose regulation in HH patients.
Keyphrases
- body weight
- wild type
- insulin resistance
- high fat diet induced
- high fat diet
- type diabetes
- iron deficiency
- mouse model
- metabolic syndrome
- adipose tissue
- newly diagnosed
- end stage renal disease
- ejection fraction
- skeletal muscle
- physical activity
- weight loss
- polycystic ovary syndrome
- weight gain
- gene expression
- body mass index
- glycemic control
- big data
- genome wide
- machine learning
- blood glucose
- preterm birth
- replacement therapy
- combination therapy
- genome wide identification