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Altay C, Seçil M, Adıyaman SC, Özgen Saydam B, Demir T, Akıncı G, Simsir IY, Eren E, Temeloğlu Keskin E, Demir L, Onay H, Topaloğlu H, Sarer Yürekli B, Özdemir Kutbay N, Gen R, Akıncı B. Magnetic resonance spectroscopy to assess hepatic steatosis in patients with lipodystrophy. Turk J Gastroenterol 2020; 31:588-595. [PMID: 32915147 DOI: 10.5152/tjg.2020.19114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND/AIMS Lipodystrophy is a rare metabolic disorder characterized by near total or partial lack of subcutaneous adipose tissue and associated with insulin resistance. We aimed to evaluate the efficacy of magnetic resonance spectroscopy imaging (MRS) to explore the fat content of the liver in patients with lipodystrophy and to determine the relationship between the liver fat accumulation and clinical presentations of lipodystrophy. MATERIALS AND METHODS Between July 2014 and February 2016, 34 patients with lipodystrophy were assessed by MRS for quantification of hepatic steatosis. All patients had metabolic abnormalities associated with insulin resistance. Metabolic parameters and the MRS findings were analyzed to identify potential correlations between the liver fat content and disease severity. RESULTS The MRS fat ratios (MRS-FR) were markedly higher, indicating severe hepatic steatosis in lipodystrophy. Patients with generalized and partial lipodystrophy had comparable levels of MRS-FRs, although patients with generalized lipodystrophy were significantly younger. Patients with genetically based lipodystrophy had elevated MRS-FR compared to those with acquired lipodystrophy (p=0.042). The MRS-FR was positively correlated with liver enzyme alanine aminotransferase (p=0.028) and serum adiponectin (p=0.043). CONCLUSION Our data suggest that MRS might be an effective, noninvasive imaging method to quantify hepatic fat content in patients with lipodystrophy. Further studies are needed to validate the technique and threshold values which would allow accurate comparison of data acquired by different machines and centers.
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Affiliation(s)
- Canan Altay
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Mustafa Seçil
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | | | - Başak Özgen Saydam
- Division of Endocrinology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Tevfik Demir
- Division of Endocrinology, Dokuz Eylül University School of Medicine, İzmir, Turkey
| | - Gülçin Akıncı
- Division of Pediatric Neurology, Dr. Behçet Uz Childrens' Hospital, İzmir, Turkey
| | | | - Erdal Eren
- Division of Pediatric Endocrinology, Uludağ University School of Medicine, Bursa, Turkey
| | - Ela Temeloğlu Keskin
- Division of Endocrinology, İstanbul University İstanbul School of Medicine, İstanbul, Turkey
| | - Leyla Demir
- Department of Biochemistry, Atatürk Training Hospital, İzmir, Turkey
| | - Hüseyin Onay
- Department of Medical Genetics, Ege University School of Medicine, İzmir, Turkey
| | - Haluk Topaloğlu
- Division of Pediatric Neurology, Hacettepe University School of Medicine, Ankara, Turkey
| | - Banu Sarer Yürekli
- Division of Endocrinology, Ege University School of Medicine, İzmir, Turkey
| | | | - Ramazan Gen
- Division of Endocrinology, Mersin University School of Medicine, Mersin, Turkey
| | - Barış Akıncı
- Division of Endocrinology, Dokuz Eylül University School of Medicine, İzmir, Turkey
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Altay C, Seçil M, Demir T, Atik T, Akıncı G, Özdemir Kutbay N, Keskin Temeloğlu E, Yıldırım Şimşir I, Özışık S, Demir L, Eren E, Tuna EB, Aytaç H, Onay H, Akıncı B. Determining residual adipose tissue characteristics with MRI in patients with various subtypes of lipodystrophy. Diagn Interv Radiol 2018; 23:428-434. [PMID: 29044029 DOI: 10.5152/dir.2017.17019] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to investigate residual adipose tissue with whole-body magnetic resonance imaging to differentiate between subtypes of lipodystrophy. METHODS A total of 32 patients (12 with congenital generalized lipodystrophy [CGL], 1 with acquired generalized lipodystrophy [AGL], 12 with familial partial lipodystrophy [FPLD], and 7 with acquired partial lipodystrophy [APL]) were included. RESULTS Despite generalized loss of metabolically active adipose tissue, patients with CGL1 caused by AGPAT2 mutations had a significant amount of residual adipose tissue in the scalp, earlobes, retro-orbital region, and palms and soles. No residual adipose tissue was noted particularly in the head and neck, palms and soles in CGL2 caused by BSCL2 mutations. CGL4 caused by mutations in the PTRF gene was characterized with well-preserved retro-orbital and bone marrow fat in the absence of any visible residual adipose tissue in other areas. No residual adipose tissue was observed in AGL. Despite loss of subcutaneous fat, periarticular adipose tissue was preserved in the lower limbs of patients with FPLD. Retro-orbital adipose tissue was surprisingly preserved in APL, although they lacked head and neck fat. CONCLUSION Lipodystrophies are a heterogeneous group of disorders characterized by generalized or partial loss of adipose tissue, which can be congenital or acquired. Our results suggest that residual adipose tissue characteristics can help distinguish different subtypes of lipodystrophy.
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Affiliation(s)
- Canan Altay
- Department of Radiology, Dokuz Eylül University School of Medicine, İzmir, Turkey.
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Yürekli BŞ, Özışık H, Kutbay NÖ, Kocabaş GÜ, Erdoğan M, Çetinkalp Ş, Özgen G, Aksu K, Saygılı F. Antifosfolipid antikor ilişkili adrenal hemorajiye bağlı gelişen akut adrenal yetmezlik. Ege Tıp Dergisi 2017. [DOI: 10.19161/etd.344299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Kutbay NÖ, Yürekli BS, Özışık H, Altun İ, Suner A, Şimşir IY, Fırat Ö, Erdoğan M, Çetinkalp Ş, Özgen G, Saygılı F. Preoperative and Postoperative (1st and 3rd Month) Metabolic Data of Patients Who Underwent Bariatric Surgery. tjem 2015. [DOI: 10.4274/tjem.2717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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