Familial partial lipodystrophy are Mendelian disorders involving abnormal body fat distribution and insulin resistance. The current classification includes the Köbberling syndrome (type 1 familial partial lipodystrophy), characterized by fat loss in the lower limbs and abnormal fat accumulation in other areas. Type 1 familial partial lipodystrophy appears to be heritable, but little is known about it, including putative contributing mutations. We aimed to characterize this syndrome better by evaluating a group of women with phenotypic features of type 1 familial partial lipodystrophy. This is a case-controlled study in which 98 women with type 1 familial partial lipodystrophy that lacked classical mutations known to cause familial partial lipodystrophy were compared with 60 women without lipodystrophy and 25 patients with type 2 familial partial lipodystrophy (Dunnigan disease). Clinical course, body composition by dual-energy X-ray absorptiometry, HbA1c, lipid profile, insulin, leptin and family history were evaluated in all of the participants. Analyses of receiver-operating characteristic curve were performed for type 1 familial partial lipodystrophy diagnosis, comparing different truncal/limbs ratios. Among patients with type 1 familial partial lipodystrophy, 68 % developed recognizable lipodystrophy before adolescence, and most displayed an autosomal-dominant pattern (86 %). Women with type 1 familial partial lipodystrophy had less lower-limb adipose tissue than women without lipodystrophy, but significantly more than patients with Dunnigan disease. Moreover, metabolic disturbances occurred more frequently in the type 1 familial partial lipodystrophy group (81 %) than in the non-lipodystrophic group (30 %, p<0.05). The severity of metabolic disturbances was inversely proportional to the percentage of fat in the lower extremities and directly proportional to the amount of visceral adipose tissue. Metabolic profiles were worse in type 1 familial partial lipodystrophy than in Dunnigan disease. According to the receiver-operating characteristic curve analysis, the best ratio was subscapular/calf skinfolds (KöB index), with a cut-off value of 3.477 (sensitivity: 89 %; specificity: 84 %). Type 1 familial partial lipodystrophy was an early-onset, autosomal-dominant lipodystrophy, characterized by fat loss in the lower limbs and abnormal fat accumulation in the abdominal visceral region, associated to insulin resistance and metabolic disorders. A KöB index >3.477 is highly suggestive of this syndrome.
AimThe role of advanced glycation end products (AGEs) and their soluble receptor (sRAGE) on the progression and prognosis of acute heart failure (HF) was analysed in relation with metabolic parameters as body composition and nutritional status.MethodsA hundred and fifty consecutive patients were included in a prospective clinical study during hospitalization by acute HF. Detailed medical history, physical examination, electrocardiogram, echocardiogram and vein peripheral blood were taken for all patients. During the follow-up period [297 days (88–422 days)] blood samples for biochemical measurements were obtained 1 and 6 months after the inclusion. Dual-energy X-ray absorptiometry analyses were performed 1 week after discharge.ResultsAGEs and sRAGE levels continuously increased, up to 6 months, after acute HF, but AGEs increase was mainly observed in those patients with incident HF. Both AGEs and sRAGE levels were related with bad renal function and clinical malnutrition (CONUT score) and they were negatively related with body mass index or percentage of body fat. AGEs levels (≥40 a.u.) 1 month after discharge and basal sRAGE levels (>1000 pg/mL) were related with worse prognosis in terms of patient death and HF readmission (Log-rank <0.05 in Kaplan–Meier survival test), independently of age, gender, body mass index and other risk factors. Regression models also corroborated this finding.ConclusionsAGEs and sRAGE are bad prognostic biomarkers for HF and useful markers of HF progression. Since their levels seem to be related with clinical malnutrition and body composition these parameters could serve to modulate them.Electronic supplementary materialThe online version of this article (doi:10.1186/s12933-017-0598-3) contains supplementary material, which is available to authorized users.
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