మా గ్రూప్ ప్రతి సంవత్సరం USA, యూరప్ & ఆసియా అంతటా 3000+ గ్లోబల్ కాన్ఫరెన్స్ ఈవెంట్లను నిర్వహిస్తుంది మరియు 1000 కంటే ఎక్కువ సైంటిఫిక్ సొసైటీల మద్దతుతో 700+ ఓపెన్ యాక్సెస్ జర్నల్లను ప్రచురిస్తుంది , ఇందులో 50000 మంది ప్రముఖ వ్యక్తులు, ప్రఖ్యాత శాస్త్రవేత్తలు ఎడిటోరియల్ బోర్డ్ సభ్యులుగా ఉన్నారు.
ఎక్కువ మంది పాఠకులు మరియు అనులేఖనాలను పొందే ఓపెన్ యాక్సెస్ జర్నల్స్
700 జర్నల్స్ మరియు 15,000,000 రీడర్లు ప్రతి జర్నల్ 25,000+ రీడర్లను పొందుతున్నారు
Youssef Nassar, Ahmed Fathy Abd El-Azi, Noura Mostafa Mohamed
Background: In obesity, elevated fat mass is associated with changes in adipokines secretions. Adipokines are bioactive molecules have a role in the development of insulin resistance may link obesity and inflammation to the occurrence of metabolic syndrome and type 2diabetes as resistin and clustrin.
Objective: To evaluate Resistin and Clusterin level with their m RNA level in Egyptian females with DM and MS and to find its correlation with other MS parameters.
Subjects and Methods: Three groups of Egyptian females classified into group 1 (30 DM patients), group 2 (30 MS patients) and group 3 (30 healthy volunteers). All participants were subjected to the full clinical assessment including plasma cholesterol, LDL, HDL, triglycerides, HOMA-IR, hs CRP, Resistin and Clusterin besides Gene expression of Resistin and Clusterin.
Results: Serum level of Clusterin was elevated in MS and DM patients with statistical significance. Also, it was found to has positive correlation with lipid molecules, TG (p=0.001), cholesterol (p=0.004) and LDL (p=0.03), BMI (p=0.008), HOMA-IR (p=0.002) and hs-CRP (p=0.01). Resistin was elevated in diabetic and MS patients and positively correlated TG (r= 0.24, p= 0.06), total cholesterol (r=0.23, p=0.02), and hs-CRP (r= 0.33, p=0.01), HOMA-IR(r=0.38, p=0.002) and Clustrin (r=0.38, p=0.002), Resistin and Clustrin mRNA expression showed significantly higher levels of in diabetec patients compared to controls.
Conclusion: plasma Resistin and Clusterin level could be a relevant and convenient biomarker for DM and MS and it may predict the risk of MS sequelae and could be efficient biomarker in both diseases.