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Cristina Niţă

Iuliu Hațieganu University of Medicine and Pharmacy

Publishes on Diabetes, Cardiovascular Risks, and Lipoproteins, Diabetes Treatment and Management, Diabetes Management and Research. 23 papers and 3.7k citations.

23Publications
3.7kTotal Citations

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276G>T Polymorphism of the ADIPOQ Gene Influences Plasma Adiponectin in Type 2 Diabetes Patients but Is Not Predictive for Presence of Type 2 Diabetes in a Caucasian Cohort from Romania.
Cited by 11Open Access

BACKGROUND: Previous reports associated ADIPOQ 276G>T polymorphism with plasma adiponectin levels and diabetes. Our objective was to study this polymorphism in type 2 diabetes (T2D) Romanian patients and to assess its influence on plasma adiponectin levels; possible link to prevalence of T2D was also addressed. DESIGN: Case control studyMaterial and Methods: Consecutive T2D patients, age and sex matched controls were genotyped for the 276 ADIPOQ locus. Medical history, laboratory evaluation, plasma adiponectin were assessed. OUTCOMES: 105 T2D patients and 48 controls were included. Adiponectin was higher in controls (17.04±3.02 µg/ml) than in T2D patients (10.32±1.16 µg/ml), difference failed to reach significance (p=0.06). Genotype distribution wasn't different between T2D patients and controls. 44 (41.90%) of T2D patients had GG genotype, 51 (48.57%) GT and 10 (9.52%) TT genotype. Adiponectin was higher (19.03±3.46 µg/ml) in diabetic TT allele carriers than in GT (9.96±1.76 µg/ml) or GG patients (8.71±1.60 µg/ml) p=0.003. In controls, 28 (58.33 %) subjects were carriers of the GG genotype, 16 (33.33%) had GT genotype and 4 (8.33%) had TT genotype. There weren't significant differences in the studied parameters between different genotypes in the control group. Logistic regression disclosed age p=0.0001 (OR 1.086; CI 1.041/1.133), waist circumference p=0.00049 (OR 1.084; CI 1.036/1.135), adiponectinemia p=0.036 (OR 0.963; CI 0.929/0.998) but not genotype as predictors for the presence of diabetes. CONCLUSION: Presence of the TT allele at the 276 locus of the ADIPOQ gene is associated with higher plasma adiponectin levels in type 2 diabetes patients. Plasma adiponectin, and not genotype at the 276 locus is predictive for the presence of T2D.

Fenofibrate improves endothelial function and plasma myeloperoxidase in patients with type 2 diabetes mellitus: an open-label interventional study
Cristina Niţă, Cornelia Bala, Mihai Porojan et al.|Diabetology & Metabolic Syndrome|2014
Cited by 11Open Access

BACKGROUND: Fenofibrate offers a number of benefits on the cardiovascular system and it is plausible that its anti-inflammatory, anti-oxidant and anti-fibrotic effects and enhancement of cardiac metabolic performances may account for its direct cardioprotective effects.In this study we aimed to investigate the effect of fenofibrate on endothelial function assesed by vascular studies and levels of soluble E-selectin (sE-selectin) as well as the effect on plasma myeloperoxidase (MPO) in patients with type 2 diabetes mellitus (T2DM) without previous use of lipid-lowering medication. METHODS: 27 patients (14 men and 13 women) with T2DM and good glycemic control (HbA1c: min 5.9%, max: 7.1%) treated with metformin monotherapy, without previous use of lipid-lowering medication were enrolled in this study. Vascular studies included measures of brachial artery diameter before and after release of a suprasystolic ischemia. FMD was calculated as the percent (%) change in arterial diameter following reactive hyperemia. Student's paired t test and Wilcoxon Signed Ranks Test were used to compare values before and after fenofibrate therapy. RESULTS: Fenofibrate therapy significantly increased post ischemia mean brachial artery diameter at 60 s (from 4.7 [4.4; 5.0] mm to 4.9 [4.6; 5.2] mm, p = 0.01) and at 90 s (from 4.7 [4.4; 5.0] mm to 4.9 [4.6; 5.1], p = 0.02). FMD response to hyperaemia at 60 s increased with 4.5 ± 13.7% (median value pre- treatment: 22.2%, median value post- treatment 25.0%, z = -2.9, p = 0.004). After 8 weeks of fenofibrate therapy, plasma MPO levels decreased to 49.5 [30.3; 71.5] ng/ml (% change from baseline = 4.6%, z = -2.2, p = 0.03) and mean plasma sE-selectin levels decreased to 67.1 [54.4; 79.8] ng/ml, (% change from baseline = 2.6%, p = 0.03). CONCLUSION: In patients with T2DM without previous treatment for dyslipidemia, short-term treatment with fenofibrate improved vascular endothelial function as demonstrated by increased post ischemia mean brachial artery diameter, increased FMD and decreased plasma sE-selectin and favorably affected plasma MPO levels. Therefore, fenofibrate may be considered a protective cardiovascular drug in this group of patients. TRIAL REGISTRATION: (Australian New Zealand Clinical Trials Registry ANZCTR12612000734864).

Hypertensive Waist: First Step of the Screening for Metabolic Syndrome
Cristina Niţă, Nicolae Hâncu, Adriana Rusu et al.|Metabolic Syndrome and Related Disorders|2008
Cited by 8

BACKGROUND: In previous studies, we have suggested that hypertensive waist is a frequent combination in persons with metabolic syndrome. The objective of the current study was to analyze the ability of hypertensive waist to predict the presence of the metabolic syndrome. METHODS: A total of 1294 women and men, randomly selected from general population, aged > or =18 years were included in this study. For these persons, the clinical and anthropometric data as well as fasting plasma blood glucose, triglycerides, total cholesterol, and high-density lipoprotein cholesterol were assessed. Hypertensive waist was defined as the presence of the systolic blood pressure > or =130 mmHg or a diastolic blood pressure > or =85 mmHg or history of treated hypertension plus a waist circumference > or =80 cm for women and > or =94 for men. International Diabetes Federation criteria were used for the diagnosis of the metabolic syndrome. RESULTS: The prevalence of hypertensive waist was 43.3% and the prevalence of the metabolic syndrome was 45.7%. Persons with hypertensive waist were 6.7 times more likely to have metabolic syndrome (95% confidence interval, 5.5-8.2) when compared with people without hypertensive waist. The high values of specificity (84%) and sensitivity (80.4%) showed that hypertensive waist is a very good predictor of the metabolic syndrome. CONCLUSIONS: On the basis of the easy-to-determine clinical parameters and on high predictive value, the clinical couple of hypertensive waist could be used as a starting point to screen for metabolic syndrome in Romanian population.