Adiponectin mRNA in adipose tissue and its association with metabolic risk factors in postmenopausal obese women

HORMONES ◽  
2013 ◽  
Vol 12 (1) ◽  
pp. 119-127 ◽  
Author(s):  
Sadashiv ◽  
Sunita Tiwari ◽  
Bhola Nath Paul ◽  
Sandeep Kumar ◽  
Abhijit Chandra ◽  
...  
2010 ◽  
Vol 30 (10) ◽  
pp. 1445-1453 ◽  
Author(s):  
A Gupta ◽  
V Gupta ◽  
AK Singh ◽  
S Tiwari ◽  
S Agrawal ◽  
...  

The present investigations were aimed to identify the possible association between genetic polymorphism in interleukin-6 (IL-6) G-174C gene, which confers susceptibility to metabolic syndrome, and serum level of resistin in North Indian women. The study population comprised 370 unrelated Indian women (192 having abdominal obesity and 178 controls). Polymorphism in genotype (CC+GC) of IL-6 G-174C gene was determined using a combination of polymerase chain reaction (PCR) and sequence-specific primer with restriction fragment length polymorphism (RFLP) technology. Insulin resistance (IR) and serum resistin level were also analyzed along with metabolic risk factors. Of 192 abdominal obese women, 147 (76.56%) were found to have mutant CC+GC ( p = 0.001) genotype and allele frequency ( p = 0.001), which was significantly higher 45 (23.44%) than non-obese and their respective wild type. The mutant genotype (CC+GC) of IL-6 gene was found to be associated significantly with high triglyceride ( p = 0.025) and resistin level ( p < 0.001), when compared with respective wild genotype (GG) in obese women. Non-obese women with no signs of metabolic risk factors were found to have significantly low level of serum resistin and IR in comparison to obese women having genetic polymorphism for IL-6 G-174C gene. Study suggests that IL-6 G-174C gene is one among the susceptibility loci for metabolic syndrome in North Indian women. Genotype for this polymorphism may prove informative for prediction of genetic risk for metabolic syndrome. Further, high level of serum resistin molecules may be targeted to correlate with metabolic syndrome risk factors and could be used as early prediction marker.


PLoS ONE ◽  
2010 ◽  
Vol 5 (9) ◽  
pp. e12609 ◽  
Author(s):  
Tuija Leskinen ◽  
Rita Rinnankoski-Tuikka ◽  
Mirva Rintala ◽  
Tuulikki Seppänen-Laakso ◽  
Eija Pöllänen ◽  
...  

2015 ◽  
Vol 399 ◽  
pp. 87-94 ◽  
Author(s):  
Sadashiv ◽  
Sunita Tiwari ◽  
Vani Gupta ◽  
Bhola Nath Paul ◽  
Sandeep Kumar ◽  
...  

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Wook Yi ◽  
Keunyoung Kim ◽  
Myungsoo Im ◽  
Soree Ryang ◽  
Eun Heui Kim ◽  
...  

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.


2007 ◽  
Vol 0 (0) ◽  
pp. 071119221323003-??? ◽  
Author(s):  
J. H. Han ◽  
H. S. Park ◽  
S. M. Kim ◽  
S. Y. Lee ◽  
D. J. Kim ◽  
...  

2015 ◽  
Vol 239 (2) ◽  
pp. 419-427 ◽  
Author(s):  
Mariëtte E.G. Kranendonk ◽  
Joost A. van Herwaarden ◽  
Tereza Stupkova ◽  
Wilco de Jager ◽  
Aryan Vink ◽  
...  

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