scholarly journals Assessing the Correlation between Metabolic Parameters and Risk Factors in Transition Cows

2020 ◽  
Author(s):  
Songül ERDOĞAN ◽  
Deniz ALIÇ URAL
Keyword(s):  
Risk Factors ◽  
Metabolic Parameters ◽  
Transition Cows

Concomitant alterations of metabolic parameters, cardiovascular risk factors and altered cortisol secretion in patients with adrenal incidentalomas during prolonged follow-up

2017 ◽  
Vol 86 (4) ◽  
pp. 488-498 ◽  
Author(s):  
Labrini Papanastasiou ◽  
Krystallenia Ι. Alexandraki ◽  
Ioannis I. Androulakis ◽  
Stelios Fountoulakis ◽  
Theodora Kounadi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Metabolic Parameters ◽  
Cortisol Secretion ◽  
Adrenal Incidentalomas

Immunosuppression withdrawal improves long-term metabolic parameters, cardiovascular risk factors and renal function in liver transplant patients

2009 ◽  
Vol 23 (3) ◽  
pp. 329-336 ◽  
Author(s):  
Jose A. Pons ◽  
Pablo Ramírez ◽  
Beatriz Revilla-Nuin ◽  
Domingo Pascual ◽  
Alberto Baroja-Mazo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Renal Function ◽  
Cardiovascular Risk ◽  
Liver Transplant ◽  
Cardiovascular Risk Factors ◽  
Metabolic Parameters ◽  
Transplant Patients

scholarly journals Association of urinary RBP4 with insulin resistance, inflammation, and microalbuminuria

2014 ◽  
Vol 171 (4) ◽  
pp. 443-449 ◽  
Author(s):  
Se Eun Park ◽  
Nam Seok Lee ◽  
Ji Woo Park ◽  
Eun-Jung Rhee ◽  
Won-Young Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Arterial Stiffness ◽  
Glucose Tolerance ◽  
Cardiometabolic Risk ◽  
Urinary Albumin ◽  
Metabolic Parameters ◽  
The Relationship

ObjectiveSerum concentrations of retinol-binding protein 4 (RBP4) are elevated in type 2 diabetes and associated with the severity of insulin resistance; however, there are few data about the relationship between urinary RBP4 levels and metabolic parameters. We assessed urinary RBP4 as a new biomarker by establishing its relationship with clinical parameters associated with insulin resistance and urinary albumin excretion.Design and methodsWe measured RBP4 in the serum and urine of 689 subjects with diverse glucose tolerance status. We also evaluated the relationship between urinary RBP4 and cardiometabolic risk factors, including insulin resistance, high-sensitivity C-reactive protein (hsCRP), arterial stiffness, and microalbuminuria.ResultsUrinary RBP4 levels were higher in insulin-resistant subjects with prediabetes or type 2 diabetes than in subjects with normal glucose tolerance (NGT) (type 2 diabetes>prediabetes>NGT; allP<0.001). Urinary RBP4 correlated strongly with homeostasis model assessments of insulin resistance (HOMA-IR), fasting glucose, triglycerides, blood pressure, hsCRP, arterial stiffness, estimated glomerular filtration rate, and urinary albumin-to-creatinine ratio (allP<0.01). HOMA-IR and arterial stiffness were found to be independent determinants of urinary RBP4 concentration. Furthermore, urinary RBP4 was highly predictive of microalbuminuria (odds ratio 2.6, 95% CI 1.6–4.2), even after adjustment for other metabolic parameters. The area under the ROC curve for urinary RBP4 to detect the presence of microalbuminuria was 0.80±0.02 (95% CI 0.76–0.84) and the cut-off value was 157.01 μg/gCr.ConclusionsUrinary RBP4 concentrations were elevated in patients with dysregulation of glucose metabolism and were related to various cardiometabolic risk factors including insulin resistance, inflammation, and microalbuminuria.

scholarly journals Cardiovascular risk factors and metabolic parameters in GH deficient patients

2015 ◽  
Author(s):  
Zoe A Efstathiadou ◽  
Sideris P Delaroudis ◽  
George N Koukoulis ◽  
Marina D Kita
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Metabolic Parameters

scholarly journals Association between visceral adipose tissue volume, measured using computed tomography, and cardio-metabolic risk factors

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Wook Yi ◽  
Keunyoung Kim ◽  
Myungsoo Im ◽  
Soree Ryang ◽  
Eun Heui Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Adipose Tissue ◽  
Visceral Adipose Tissue ◽  
Metabolic Risk Factors ◽  
Metabolic Parameters ◽  
Oral Glucose ◽  
Slice Thickness ◽  
Metabolic Risk ◽  
Visceral Adipose

AbstractWe evaluated the associations between metabolic parameters with visceral adipose tissue (VAT) volume in women with prediabetes or type 2 diabetes (T2DM), and we compared the VAT volume with the VAT area. We enrolled women aged > 20 years with prediabetes or T2DM, who underwent oral glucose tolerance test and whose VAT was evaluated using computed tomography (CT) at our institution between 2017 and 2019. All participants underwent unenhanced spiral CT with a 3-mm slice thickness from the level of the diaphragm to the level of the mid-thigh. The two VAT areas were defined as the free drawn area on the levels of the umbilicus and L2 vertebra. The VAT areas were also manually drawn from the level of the diaphragm to the level of the pelvic floor and were used to calculate the VAT volumes by summing all areas with a slice thickness of 3 mm after setting the attenuation values from −45 to −195 Hounsfield Unit. All metabolic characteristics, except blood pressure, were significantly correlated with the VAT volume. The VAT areas measured at the level of the L2 vertebra and umbilicus were correlated with serum triglyceride, high-density lipoprotein cholesterol, and Framingham steatosis index alone. Multivariable regression analyses revealed that the VAT volume was significantly associated with several metabolic parameters. In conclusion, in women with prediabetes and T2DM, the VAT volume acquired from CT-based calculation has more significant correlations with metabolic risk factors compared with the VAT area.

Glucocorticoid Receptor Gene Polymorphisms in Italian Patients with Anorexia and Bulimia Nervosa

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
B. Nacmias ◽  
E. Cellini ◽  
V. Ricca ◽  
G. Castellini ◽  
A. Tedde ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bulimia Nervosa ◽  
Glucocorticoid Receptor ◽  
Receptor Gene ◽  
Biological Response ◽  
Metabolic Parameters ◽  
Allelic Association ◽  
Nucleotide Polymorphisms ◽  
Glucocorticoid Receptor Gene ◽  
Potential Risk Factors

The etiopathogenesis of eating disorders (ED) is complex and poorly understood. The hypothalamic-pituitary-adrenal (HPA) axis, involved in the biological response to stress, could influence the onset and the course of ED.) Several variants in the Glucocorticoid receptor (GR) gene have been related to different metabolic parameters suggesting a possible role in ED. We studied if genetic variants of GR could represent potential risk factors for the development of Anorexia Nervosa (AN) and Bulimia Nervosa (BN).We investigated the distribution of several single nucleotide polymorphisms (SNPs) of the GR including N363S (rs6195), Er22/23EK (rs6189-6190), A/G SNP in exon 9beta (rs6198) and the intronic BclI polymorphism (rs41423247), in 118 Italian patients affected by AN and in 108 patients with BN. Moreover we studied 116 normal individuals and 177 obese subjects. The distributions of genotypes and allele frequency of the SNPs in all studied groups followed Hardy-Weinberg equilibrium and did not significantly differ from that of controls. A trend towards association was observed in case-control association analysis (p=0.07) for rs6198. A correlation of metabolic parameters to the GR genotypes was performed.We report the analysis of different GR SNPs for the first time in Italian patients with AN and BN. We failed to detect an allelic association between the studied SNPs in the GR gene and AN and BN.None of the variants seems to influence these pathologies, not supporting a role for the GR gene as genetic risk factors for ED.

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