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| Title |
Association of Serum Angiopoietin-Like Protein 8 With Albuminuria in Type 2 Diabetic Patients: Results From the GDMD Study in China
|
|---|---|
| Published in |
Frontiers in endocrinology, July 2018
|
| DOI | 10.3389/fendo.2018.00414 |
| Pubmed ID | |
| Authors |
Liuxue Yang, Jianfei Song, Xiaoxi Zhang, Liuping Xiao, Xueping Hu, Haidong Pan, Linyuan Qin, Hongbo Liu, Bo Ge, Tianpeng Zheng |
| Abstract |
Background: Hyperglycemia, insulin resistance and hypertriglyceridesmia are risk factors for albuminuria in type 2 diabetes. Angiopoietin-like Protein 8(ANGPTL8) is a newly identified liver-derived hormone related to these risk factors. Hence, we aimed to explore the relationship between ANGPTL8 and albuminuria in type 2 diabetes. Methods: Serum ANGPTL8 levels were determined in groups of control (n = 50) and type 2 diabetic patients with normoalbuminuria (A1, n = 100), microalbuminuria (A2, n = 45), and macroalbuminuria (A3, n = 33). Results: Serum levels of ANGPTL8 and triglycerides were significantly increased in type 2 diabetic patients with albuminuria as compared with controls (P < 0.001). ANGPTL8 levels were positively correlated with triglycerides, duration of diabetes, and urine albumin-to-creatinine ratio (ACR) and negatively correlated with estimated glomerular filtration rate in type 2 diabetic patients with A2 and A3 (all P < 0.05). Logistic regression analysis indicated that ANGPTL8 had higher odds of having A2 (OR = 2.52, 95% CI 1.16-5.48, P = 0.019) and A3 (OR = 4.89, 95% CI 2.10-11.39, P < 0.001) in type 2 diabetes. Mediation analysis indicated that triglycerides might act as a partial mediator in the relationship between ANGPTL8 and ACR. Conclusions: Triglycerides might partially mediate the correlation between ANGPTL8 and ACR. Our data provide the evidence for a strong link between ANGPTL8 and albuminuria, indicating that ANGPTL8 may be a new biomarker for diabetic kidney disease in type 2 diabetes. ChiCTR-EPC-14005273. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 33% |
| Student > Doctoral Student | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Unknown | 4 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 July 2018.
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#20,663,600
of 25,385,509 outputs
Outputs from Frontiers in endocrinology
#6,739
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Outputs of similar age
#264,720
of 340,475 outputs
Outputs of similar age from Frontiers in endocrinology
#148
of 212 outputs
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