An increase level of acylation stimulating protein is correlated with metabolic risk markers in North Indian obese women

2017 ◽  
Vol 11 ◽  
pp. S797-S801 ◽  
Author(s):  
Supriya Mishra ◽  
Vani Gupta ◽  
Sameeksha Mishra ◽  
Vandana Gupta ◽  
Abbas Ali Mahdi ◽  
...  
2017 ◽  
Vol 15 (2) ◽  
pp. 423-429 ◽  
Author(s):  
Moushira Zaki ◽  
Sanaa Kamal ◽  
Wafaa Ezzat ◽  
Naglaa Hassan ◽  
Walaa Yousef ◽  
...  

2018 ◽  
Vol 37 ◽  
pp. S144
Author(s):  
S. Karahan Yilmaz ◽  
E. Yalcin ◽  
A. Ayaz

2013 ◽  
Vol 35 ◽  
pp. 155-161 ◽  
Author(s):  
Jumana Saleh ◽  
Hatem Farhan ◽  
Ibtisam Al-Saqri ◽  
Bashair Al-Riyami ◽  
Katherine Cianflone

Background.Steatosis is a manifestation of the metabolic syndrome often associated with release of liver enzymes and inflammatory adipocytokines linked to cardiovascular risk. Gamma-glutamyltransferase (GGT) is one sensitive liver marker recently identified as an independent cardiovascular risk factor. Mechanisms involved in enhanced hepatic lipogenesis causing steatosis are not yet identified and are usually linked to insulin resistance (IR). Acylation stimulating protein (ASP), a potent lipogenic factor, was recently shown to increase in patients with steatosis and was implicated in its pathogenesis.Aim.To investigate the association of plasma ASP levels with liver and metabolic risk markers in acute coronary syndrome (ACS) patients.Methods.28 patients and 30 healthy controls were recruited. Their anthropometrics, lipid profile, liver markers, insulin, and ASP levels were measured.Results.In the patients, ASP, liver, and metabolic risk markers were markedly higher than in the controls. ASP strongly predicted GGT levels (B=0.75,P<0.0001), followed by triglycerides (B=0.403,P=0.017), together determining 57.6% variation in GGT levels. Insulin and IR correlated with metabolic risk components but not with liver enzymes.Conclusion.The strong association of ASP with GGT in ACS patients suggests that ASP, independent of IR, may contribute to a vicious cycle of hepatic lipogenic stimulation and GGT release promoting atherogenesis.


2019 ◽  
Vol 13 (5) ◽  
pp. 2987-2990 ◽  
Author(s):  
Supriya Mishra ◽  
Vani Gupta ◽  
Sameeksha Mishra ◽  
Himani Kulshrestha ◽  
Sandeep Kumar ◽  
...  

Diabetes Care ◽  
2014 ◽  
Vol 37 (11) ◽  
pp. 3098-3105 ◽  
Author(s):  
Pablo Hernández-Alonso ◽  
Jordi Salas-Salvadó ◽  
Mònica Baldrich-Mora ◽  
Martí Juanola-Falgarona ◽  
Mònica Bulló

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.


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