Literature DB >> 35821558

Lipodystrophy for the Diabetologist-What to Look For.

Nivedita Patni1, Abhimanyu Garg2.   

Abstract

PURPOSE OF REVIEW: Genetic or acquired lipodystrophies are characterized by selective loss of body fat along with predisposition towards metabolic complications of insulin resistance, such as diabetes mellitus, hypertriglyceridemia, hepatic steatosis, polycystic ovarian syndrome, and acanthosis nigricans. In this review, we discuss the various subtypes and when to suspect and how to diagnose lipodystrophy. RECENT
FINDINGS: The four major subtypes are autosomal recessive, congenital generalized lipodystrophy (CGL); acquired generalized lipodystrophy (AGL), mostly an autoimmune disorder; autosomal dominant or recessive familial partial lipodystrophy (FPLD); and acquired partial lipodystrophy (APL), an autoimmune disorder. Diagnosis of lipodystrophy is mainly based upon physical examination findings of loss of body fat and can be supported by body composition analysis by skinfold measurements, dual-energy x-ray absorptiometry, and whole-body magnetic resonance imaging. Confirmatory genetic testing is helpful in the proband and at-risk family members with suspected genetic lipodystrophies. The treatment is directed towards the specific comorbidities and metabolic complications, and there is no treatment to reverse body fat loss. Metreleptin should be considered as the first-line therapy for metabolic complications in patients with generalized lipodystrophy and for prevention of comorbidities in children. Metformin and insulin therapy are the best options for treating hyperglycemia and fibrates and/or fish oil for hypertriglyceridemia. Lipodystrophy should be suspected in lean and muscular subjects presenting with diabetes mellitus, hypertriglyceridemia, non-alcoholic fatty liver disease, polycystic ovarian syndrome, or amenorrhea. Diabetologists should be aware of lipodystrophies and consider genetic varieties as an important subtype of monogenic diabetes.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Keywords:  AGL; APL; Acanthosis nigricans; Acquired generalized lipodystrophy; Acquired partial lipodystrophy; CGL; Congenital generalized lipodystrophy; FPLD; Familial partial lipodystrophy; Hypertriglyceridemia

Mesh:

Year:  2022        PMID: 35821558     DOI: 10.1007/s11892-022-01485-w

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   5.430


  87 in total

Review 1.  Acquired and inherited lipodystrophies.

Authors:  Abhimanyu Garg
Journal:  N Engl J Med       Date:  2004-03-18       Impact factor: 91.245

2.  Metabolic and cardiac phenotype characterization in 37 atypical Dunnigan patients with nonfarnesylated mutated prelamin A.

Authors:  Philippe Andre; Stéphane Schneebeli; Corinne Vigouroux; Olivier Lascols; Mathieu Schaaf; Philippe Chevalier
Journal:  Am Heart J       Date:  2015-01-07       Impact factor: 4.749

3.  Identification of the gene altered in Berardinelli-Seip congenital lipodystrophy on chromosome 11q13.

Authors:  J Magré; M Delépine; E Khallouf; T Gedde-Dahl; L Van Maldergem; E Sobel; J Papp; M Meier; A Mégarbané; A Bachy; A Verloes; F H d'Abronzo; E Seemanova; R Assan; N Baudic; C Bourut; P Czernichow; F Huet; F Grigorescu; M de Kerdanet; D Lacombe; P Labrune; M Lanza; H Loret; F Matsuda; J Navarro; A Nivelon-Chevalier; M Polak; J J Robert; P Tric; N Tubiana-Rufi; C Vigouroux; J Weissenbach; S Savasta; J A Maassen; O Trygstad; P Bogalho; P Freitas; J L Medina; F Bonnicci; B I Joffe; G Loyson; V R Panz; F J Raal; S O'Rahilly; T Stephenson; C R Kahn; M Lathrop; J Capeau
Journal:  Nat Genet       Date:  2001-08       Impact factor: 38.330

4.  Familial lipoatrophic diabetes with dominant transmission. A new syndrome.

Authors:  M G Dunnigan; M A Cochrane; A Kelly; J W Scott
Journal:  Q J Med       Date:  1974-01

5.  AGPAT2 is mutated in congenital generalized lipodystrophy linked to chromosome 9q34.

Authors:  Anil K Agarwal; Elif Arioglu; Salome De Almeida; Nurullah Akkoc; Simeon I Taylor; Anne M Bowcock; Robert I Barnes; Abhimanyu Garg
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

6.  Association of a homozygous nonsense caveolin-1 mutation with Berardinelli-Seip congenital lipodystrophy.

Authors:  C A Kim; Marc Delépine; Emilie Boutet; Haquima El Mourabit; Soazig Le Lay; Muriel Meier; Mona Nemani; Etienne Bridel; Claudia C Leite; Debora R Bertola; Robert K Semple; Stephen O'Rahilly; Isabelle Dugail; Jacqueline Capeau; Mark Lathrop; Jocelyne Magré
Journal:  J Clin Endocrinol Metab       Date:  2008-01-22       Impact factor: 5.958

Review 7.  Congenital generalized lipodystrophies--new insights into metabolic dysfunction.

Authors:  Nivedita Patni; Abhimanyu Garg
Journal:  Nat Rev Endocrinol       Date:  2015-08-04       Impact factor: 43.330

8.  Clinical and Molecular Prevalence of Lipodystrophy in an Unascertained Large Clinical Care Cohort.

Authors:  Claudia Gonzaga-Jauregui; Wenzhen Ge; Jeffrey Staples; Cristopher Van Hout; Ashish Yadav; Ryan Colonie; Joseph B Leader; H Lester Kirchner; Michael F Murray; Jeffrey G Reid; David J Carey; John D Overton; Alan R Shuldiner; Omri Gottesman; Steve Gao; Jesper Gromada; Aris Baras; Judith Altarejos
Journal:  Diabetes       Date:  2019-12-13       Impact factor: 9.461

9.  Estimating the prevalence of generalized and partial lipodystrophy: findings and challenges.

Authors:  Elaine Chiquette; Elif A Oral; Abhimanyu Garg; David Araújo-Vilar; Praveen Dhankhar
Journal:  Diabetes Metab Syndr Obes       Date:  2017-09-13       Impact factor: 3.168

10.  Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis.

Authors:  Miriam S Udler; Jaegil Kim; Marcin von Grotthuss; Sílvia Bonàs-Guarch; Joanne B Cole; Joshua Chiou; Michael Boehnke; Markku Laakso; Gil Atzmon; Benjamin Glaser; Josep M Mercader; Kyle Gaulton; Jason Flannick; Gad Getz; Jose C Florez
Journal:  PLoS Med       Date:  2018-09-21       Impact factor: 11.069

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