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Endocrine Abstracts (2019) 67 O27 | DOI: 10.1530/endoabs.67.O27

1University of Medicine and Pharmacy ‘Gr. T.Popa’ Iaşi, Department of Morpho-Functional Sciences II, Iasi, Romania; 2University of Medicine and Pharmacy ‘Gr. T.Popa’ Iaşi, Department of Surgical Sciences I, Iasi, Romania; 3University of Medicine and Pharmacy ‘Gr. T.Popa’ Iaşi, Department of Medical Sciences II, Iasi, Romania; 4Surgery Department, Emergency Hospital Vaslui, Romania; 5TRANSCEND Research Institute, Regional Oncology Institute, Iasi, Romania.

Introduction: White adipose tissue celularity is a highly versatile and precocious marker for metabolic status. Fat morphology can be estimated by comparing body fat mass with average fat cell size. Recent studies have shown that adipo-cyte hypertrophy is negatively correlated with dyslipidemia and insulin resistance, independent of body composition.

Methods: The study group includes 18 obese patients, with a mean age of 38.76±8.89 years and a mean BMI of 46.06±6.48 kg/m2 for which subcutaneous abdominal fat tissue (1–2 g) was harvested during laparoscopic sleeve gastrectomy. Histological sections were analysed using Tissue Gnostic FACS Histo software and Adiposoft for automatic cell size measurement. Metabolic syndrome criteria as established by IDF were evaluated for the patients in the study, leptin, adiponectin, C peptide and HOMA-IR measurements were performed.

Results: Mean subcutaneous adipocyte area was higher in obese patients with associated metabolic syndrome criteria compared with those without metabolic syndrome (3200 vs 1289 μm2; P=0.001). For HOMA-IR and C peptide levels a positive correlation (r=+0.493; P=0.017) respectively (r=+0.622; P=0.002) was found with mean adipocyte area. Also adipocyte area was correlated with BMI values (r=+0.575; P=0.004) and increased Leptin/Adiponectin ratio (r=+0.602; P=0.002).

Conclusion: Measuring fat cell size might have important implications. Impaired adipogenesis leads to disfunctional, hypertrofic adipocytes, local inflammation and peripheric insulin resistance. As recently discussed, other parameters are needed to better classify subtypes of obesity that have different impacts on the risk of developing type 2 diabetes and other obesity complications.

Volume 67

7th ESE Young Endocrinologists and Scientists (EYES) Meeting

European Society of Endocrinology 

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