Increased ANGPTL3, 4 and ANGPTL8/betatrophin expression levels in obesity and T2D.

Increased ANGPTL3, 4 and ANGPTL8/betatrophin expression levels in obesity and T2D.
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DOI:
10.1186/s12944-016-0337-x
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发表时间:
2016-10-13
影响因子:
4.5
通讯作者:
Abubaker J
Abubaker J
中科院分区:
医学3区
文献类型:
--
作者:
Abu-Farha M;Al-Khairi I;Cherian P;Chandy B;Sriraman D;Alhubail A;Al-Refaei F;AlTerki A;Abubaker J

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高胆固醇血症与心血管疾病和2型糖尿病(T2 D)的风险增加有关。血管生成素样蛋白特别是3、4和最近的8是通过调节脂蛋白脂肪酶活性而被公认为血浆甘油三酯水平的调节剂。血浆水平和ANGPTL 3、4和8之间的关联在人类受试者中没有很好地建立。本研究旨在确定血浆和脂肪组织中这些蛋白质的水平,并研究T2 D和非糖尿病受试者中ANGPTL 8与ANGPTL 3和4之间的相关性。本研究共入组235例受试者,其中144例为非糖尿病患者,91例为T2 D患者。通过ELISA和使用脂肪组织中的真实的时间RT-PCR测量血浆中的ANGPTL 3、4和8水平。在这项研究中,我们发现ANGPTL 3、4和8在T2 D受试者中较高。根据非糖尿病受试者的BMI将其划分显示,与非肥胖受试者相比,肥胖受试者中ANGPTL 3、4和8的水平更高。T2 D受试者之间未观察到显著差异。在非糖尿病患者中,ANGPTL 8与ANGPTL 3在非肥胖患者(r = 0.2437,p值= 0.0543)和肥胖患者(r = 0.418,p值= 0.0125)中显示正相关。在T2 D受试者中未观察到相关性。另一方面,ANGPTL 4与非糖尿病患者(r = 0.3322,p值= 0.0316)和肥胖T2 D受试者(r = 0.3161,p值= 0.0211)中的肥胖受试者正相关。总之,我们的数据显示ANGPTL 3、4和8在肥胖和T2 D中增加。在非糖尿病受试者中,ANGPTL 8与ANGPTL 3相关,而在肥胖和T2 D受试者中,ANGPTL 8与ANGPTL 4更相关。总之,这些数据突出了这些蛋白质在代谢疾病中的作用,以及它们在不同的生理和病理生理条件下如何相互作用。
Hypertriglyceridemia is associated with increased risk for cardiovascular diseases and type 2 diabetes (T2D). Angiopoietin like proteins particularly 3, 4 and recently 8 are well established regulators of plasma triglyceride level through regulating the activity of lipoprotein lipase. Plasma level and association between ANGPTL3, 4 and 8 is not well established in human subjects. This study was designed to establish the level of these proteins in plasma and adipose tissues and investigate the association between ANGPTL8 with ANGPTL3 and 4 in T2D and non-diabetics subjects. A total of 235 subjects were enrolled in this study, 144 non-diabetics and 91 T2D. ANGPTL 3, 4 and 8 levels were measured in plasma by ELISA and using real time RT-PCR in adipose tissues. In this study, we showed that ANGPTL3, 4 and 8 were higher in T2D subjects. Dividing the non-diabetic subjects according to their BMI showed higher level of ANGPTL3, 4 and 8 in obese subjects compared to non-obese subjects. No significant difference was observed between the T2D subjects. ANGPTL8 was showed positive correlation with ANGPTL3 in the non-diabetic subjects in the non-obese (r = 0.2437, p-Value = 0.0543) and obese subjects (r = 0.418, p-Value = 0.0125). No association was observed in the T2D subjects. On the other hand, ANGPTL4 was positively associated with the obese subjects in both the non-diabetics (r = 0.3322, p-Value = 0.0316) and the obese T2D subjects (r = 0.3161, p-Value = 0.0211). In conclusion, our data shows that ANGPTL3, 4 and 8 are increased in obesity and T2D. ANGPTL8 associates with ANGPTL3 in the non-diabetic subjects while it associated more with ANGPTL4 in the obese and T2D subjects. Taken together, this data highlight the role of these proteins in metabolic diseases and how they interact with each other’s under different physiological and pathophysiological conditions.
DOI: 10.1371/journal.pone.0069217
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