KIMCL

Osteoporosis is a major public health burden affecting 1 in 3 women and 1 in 5 men worldwide. It has a strong genetic component, but it can also be caused by environmental factors, like glucocorticoid intake, or associated to specific stages in life, like pregnancy. Moreover, osteoporosis can arise due to other comorbidities, like diabetes or chronic liver disease. In these cases, it is a risk factor that can negatively affect clinical management. There are different treatments available for osteoporosis, from antiresorptives targeting osteoclasts to anabolics targeting osteoblasts. However, they only reduce the fracture risk in about 20% and for some of them the individual response is highly variable. Therefore, better treatment alternatives are required. Understanding  the role of genetic and metabolic markers in the development of the disease will help to improve the response to current treatments as well as to identify novel therapeutic targets.

Our group aims to investigate the molecular and metabolic mechanisms underlying primary and secondary osteoporosis and how they are genetically regulated. Moreover, we aim to functionally characterise genetic markers in bone involved in the response to treatment. To do so, we use in vitro and in vivo models for the disease and apply from routine cellular and molecular phenotyping and serum biomarker detection to state-of-the-art -omics approaches.

PI

Ass.-Prof.in
Nerea Alonso Lopez,  PhD
T: +43 316 385 13145

Current projects

Role of genetic markers in the response to anabolic treatments for osteoporosis

  • Anabolic drugs are the first line of treatment for patients at high risk of fracture. They are superior to standard care with an average of increase in lumbar spine bone mineral density of 13%. However, the individual response is highly variable, from no changes to an increase of more than 50%. It is well known that the genetic background could play a role in drug metabolism and therapeutic outcome. We have performed a genome-wide association analysis and identified some genetic markers that can predict response to treatment. However, their role in bone metabolism is unclear. This project aims to investigate how genetic markers can regulate bone metabolism and predict response to treatment, leading to the development of a personalised therapy for patients with osteoporosis.
  • Duration: 2021- ongoing
  • Funded by: Medical University of Graz
  • Project partners: Prof Stuart Ralston (University of Edinburgh, UK), Prof Kent Soee (University of Southern Denmark, Denmark), Dr Giovanny Rodriguez-Blanco (KIMCL)

High fat diet-induced metabolic alterations leading to osteoporosis

  • Administration of high fat diet (HFD) in rodents is an established model for obesity, a condition associated with decreased bone health and increased risk of fracture. Long-term HFD feeding can promote the appearance of chronic liver disease, which is also associated with bone loss. Patients with osteoporosis and chronic liver disease have a contraindication for liver transplantation. Thus, identifying markers to detect early bone loss could improve the clinical outcome of patients in late stages of chronic liver disease. Our group use a rat model of HFD-induced liver disease and investigate the metabolic dysfunction leading to bone loss.     
  • Duration: 2021 - ongoing
  • Funded by: Medical University of Graz
  • Project partners: Dr Giovanny Rodriguez-Blanco (KIMCL)