The International Journal of Romanian Society of Endocrinology / Registered in 1938

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  • Endocrine Care

    Roman G, Bala C, Craciun A, Craciun CI, Rusu A

    Eating Patterns, Physical Activity and Their Association with Demographic Factors in the Population Included in the Obesity Study in Romania (ORO Study)

    Acta Endo (Buc) 2016 12(1): 47-51 doi: 10.4183/aeb.2016.47

    Context. Four major modifiable behavioral risk factors are considered responsible for the current burden of the non-communicable diseases: tobacco use, physical inactivity, unhealthy diet and excessive alcohol consumption. Limited data on the lifestyle habits in Romanian population is currently available. Objective. To assess the eating patterns and physical activity habits and other lifestyle components in various age groups in the population included in the ORO study. Design. ORO was a cross-sectional, epidemiologic, multicenter non-interventional study conducted from January 2014 until August 2014 in 8 study centers spread in the main historical regions of Romania Results. Eating 3 meals/day every day was more frequently reported in the 60-79 years and ≥ 80 years age groups (53.0% and 51.7%) than in the 18-39 years and 40- 59 years age groups (26.8% and 35.8%), p <0.001. The frequency of eating breakfast every day increased with age from 43.5% in the youngest age group to 79.3% in the oldest one (p <0.001). Intense and moderate leisure-time physical activity was more frequent among participants in the 18- 39 years age group. Leisure time physical activities were associated with younger age groups, male sex, rural area, higher educational level and non-smoking status. Regular breakfast and regular consumption of 3 meals/day was associated with older age group, male sex and non-smoking status. Conclusions. Our analysis showed a high frequency of unhealthy lifestyle habits among the younger age groups as compared to the older ones, with the highest frequency of these unhealthy behavior reported in the 18-39 years age group.
  • Endocrine Care

    Kacso IM, Lenghel A, Rusu CC, Rahaian R, Nita C, Craciun M, Luculescu N, Negru D, Hancu N, Bondor CI, Gherman Caprioara M

    Determinants of plasma adiponectin levels in patients with type 2 diabetes mellitus and microalbuminuria or low grade proteinuria

    Acta Endo (Buc) 2010 6(2): 181-189 doi: 10.4183/aeb.2010.181

    Background. Recent experimental data show that increased plasma adiponectin in chronic kidney disease could be a response to inflammation.\r\nObjective. To identify factors influencing adiponectinemia in patients with type 2 diabetes (T2DM) and microalbuminuria or low grade proteinuria.\r\nDesign. 32 patients with urinary albumin excretion rate (UAER)> 30 mg/g creatinine but without significant proteinuria (< trace COMBUR) were included and compared to 59 normalbuminuric T2DM controls. History, anthropometric measurements, laboratory analysis, total plasma adiponectin were obtained.\r\nResults. In our patients with UAER of 273.51?57.26 mg/g creatinine and estimated glomerular filtration rate (eGFR) 64.92?4.56 mL/min, in simple regression, adiponectinemia\r\ncorrelates inversely to eGFR (p=0.02, r= -0.38), triglyceridemia (p=0.03, r=-0.37) and hemoglobin\r\n(Hb -p= 0.01, r=-0.45) and positively to HDL cholesterol (p=0.001, r=0.54) and UAER (p<0.0001, r=0.71); the two latter parameters remain significant in multiple regression. In controls, adiponectinemia correlates inversely to age (p=0.04, r=-0.26) and BMI (p=0.04, r=-0.24); these and UAER predict adiponectinemia in multiple regression. 11 patients have UAE superior to 300 mg/g creatinine and 21 are strictly microalbuminuric (mean UAER 653.16?97.02 and 83.68?10.28mg albumin/g creatinine respectively). In microalbuminuric patients serum C reactive protein (CRP) correlates positively (p=0.0008, r=0.68) and Hb negatively (p=0.04, r=-0.41) to adiponectinemia; in multiple regression adiponectinemia only depends on CRP. In proteinuric patients CRP and\r\nglycated Hb correlate to adiponectinemia in stepwise multiple regression.\r\nConclusion. Adiponectinemia is mainly predicted by UAER in our cohort whereas it depends on age and BMI in normalbuminuric T2DM controls; in strictly microalbuminuric\r\npatients CRP is a major predictor of adiponectinemia.
  • Editorial

    Bala C, Craciun AE, Hancu N

    Updating the Concept of Metabolically Healthy Obesity

    Acta Endo (Buc) 2016 12(2): 197-205 doi: 10.4183/aeb.2016.197

    Obesity is a well-recognized risk factor for type 2 diabetes, cardiovascular disease, and several types of cancer. However, a proportion of the obese individuals display a significantly lower risk for metabolic complications than expected for their degree of body mass index, and this subtype of obesity was described as “metabolically healthy obesity” (MHO). No universally accepted criteria for the diagnosis of MHO exists and the prevalence of this subtype of obesity varies largely according to criteria used. Broadly, MHO is characterized by a lower amount of visceral fat, a more favorable inflammatory profile, and less insulin resistance as compared to the metabolically unhealthy obesity. Currently, controversies exist regarding the risk of cardiovascular events and all-cause mortality associated with MHO as compared to metabolically-healthy non-obese individuals. Further research is needed in order to identify the MHO phenotype and if MHO is truly healthy for a long period of time or if it is a transient state from normal metabolic/normal weight to abnormal metabolic/obese state. This review will discuss the MHO definition criteria; the differences between MHO and metabolically unhealthy obesity; the possible underlying mechanisms and clinical implications of MHO.
  • Endocrine Care

    Craciun A, Rusu A, Craciun CI, Bala C, Roman G, Veresiu IA, Georgescu CE

    Changes in Body Composition after Three Months of Insulin Therapy in Type 2 Diabetes - A Cohort Retrospective Study

    Acta Endo (Buc) 2015 11(3): 312-318 doi: 10.4183/aeb.2015.312

    Objectives. The objective of this retrospective study was to evaluate weight gain at 3 months following insulin therapy initiation and to determine if it is due to fat or fat free tissue. Methods. Fifty-eight patients with T2DM and initiation of insulin therapy were evaluated. Body composition was assessed with InBody720 device (Biospace, Korea) before and 3 months after the initiation of insulin therapy. Results. The insulin therapy was initiated with basal insulin in 84.48% of the cases. The initial dose of insulin was 22.76±12.89 units/day and increased at 3 months to 30.81±18.49 units/day (p<0.001). The initial HbA1c was 9.86±2.02% and decreased to 7.58±1.19% (p<0.001). The body weight increased from 87.01±17.37 kg to 88.04±16.64 kg (p=0.026). The fat body mass and the percent of fat decreased with no statistical significance; the intracellular and extracellular body water increased significantly (intracellular: 26.30±5.96 vs. 27.26±6.16; extracellular: 16.61±3.63 vs. 17.03±3.84; p<0.001). Conclusion. During the first 3 months after initiation of insulin therapy a modest weight gain due to increase in the body water after restoration of the metabolic balance was observed.
  • Clinical review/Extensive clinical experience

    Craciun CT

    Porosomes: Current Concepts of the Mechanism of Exocytosis

    Acta Endo (Buc) 2013 9(4): 605-612 doi: 10.4183/aeb.2013.605

    Secretion is a basic process in all cells and is involved in important functions such as the release of hormones from endocrine and neuroendocrine cells, in neurotransmission, the release of digestive enzymes and acid secretion, etc, having an important role in the physiology of many metabolic processes of tissues and organs. Contrary to an accepted belief of more than 60 years that the final step in the process of secretion is the total incorporation of secretory granule membrane into the cell plasma membrane for the delivery of secretory product to the outside of the cell, studies made in the last 25 years demonstrated a completely different molecular mechanism of secretion, this being a highly regulated process. Discovery of a new cellular structure, the “porosome”, in principal with the aid of atomic force microscopy (AFM) and transmission electron microscopy (TEM), and the discovery of SNARE (Soluble NSF Attachment Protein REceptor) and SNAREs-induced membrane fusion, and the regulated expulsion of secretory product via secretory vesicle swelling with Aquaporin 1 (AQ1) and Ca2+ implicated, has finally provided us with an understanding of cell secretion at the molecular level. The current study was undertaken to present this new concept regarding the cellular process of secretion, using original illustration of our researches.