Bone Mineral Density in Congenital Generalized Lipodystrophy: The Role of Bone Marrow Tissue, Adipokines, and Insulin Resistance.
Erika Bastos Lima FreireCatarina Brasil d'AlvaMayara Ponte MadeiraGrayce Ellen da Cruz Paiva LimaAna Paula Dias Rangel MontenegroVirginia Oliveira FernandesRenan Magalhães Montenegro Juniornull Brazilian Group For The Study Of Inherited And Acquired Lipodystrophies BrazlipoPublished in: International journal of environmental research and public health (2021)
Congenital Generalized Lipodystrophy (CGL) is a rare syndrome characterized by the almost total absence of subcutaneous adipose tissue due to the inability of storing lipid in adipocytes. Patients present generalized lack of subcutaneous fat and normal to low weight. They evolve with severe metabolic disorders, non-alcoholic fatty liver disease, early cardiac abnormalities, and infectious complications. Although low body weight is a known risk factor for osteoporosis, it has been reported that type 1 and 2 CGL have a tendency of high bone mineral density (BMD). In this review, we discuss the role of bone marrow tissue, adipokines, and insulin resistance in the setting of the normal to high BMD of CGL patients. Data bases from Pubmed and LILACS were searched, and 113 articles published until 10 April 2021 were obtained. Of these, 76 were excluded for not covering the review topic. A manual search for additional literature was performed using the bibliographies of the studies located. The elucidation of the mechanisms responsible for the increase in BMD in this unique model of insulin resistance may contribute to the understanding of the interrelationships between bone, muscle, and adipose tissue in a pathophysiological and therapeutic perspective.
Keyphrases
- bone mineral density
- adipose tissue
- insulin resistance
- postmenopausal women
- bone marrow
- body composition
- end stage renal disease
- body weight
- high fat diet
- newly diagnosed
- ejection fraction
- chronic kidney disease
- type diabetes
- skeletal muscle
- metabolic syndrome
- heart failure
- patient reported outcomes
- fatty acid
- polycystic ovary syndrome
- big data