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| Title |
Effects of a liquid high-fat meal on postprandial lipid metabolism in type 2 diabetic patients with abdominal obesity
|
|---|---|
| Published in |
Nutrition & Metabolism, August 2017
|
| DOI | 10.1186/s12986-017-0211-5 |
| Pubmed ID | |
| Authors |
Feng Wang, Huixia Lu, Fukang Liu, Huizhen Cai, Zhixiu Song, Fei Guo, Yulan Xie, Guofang Shu, Guiju Sun |
| Abstract |
Postprandial lipemia and lipoprotein lipase (LPL) activity play crucial roles in the pathogenesis of accelerated atherosclerosis. This study aimed to evaluate the postprandial lipid metabolism after the ingestion of a liquid high-fat meal in type 2 diabetic patients with abdominal obesity, and determine if the PvuII polymorphisms of LPL influence their postprandial lipid responses. Serum glucose, insulin, triglycerides (TG), total cholesterol (TC) and high density lipoprotein cholesterol (HDL-C) were measured in fasting and postprandial state at 0.5, 1, 2, 4, 6 and 8 h after a liquid high-fat meal in 51 type 2 diabetic patients with abdominal obesity, 31 type 2 diabetic patients without abdominal obesity and 39 controls. Their PvuII polymorphisms of LPL were tested in fasting. Type 2 diabetic patients with abdominal obesity had significantly higher postprandial areas under the curve (AUC) of glucose [least square mean difference (LSMD) = 30.763, 95% confidence interval (CI) = 23.071-38.455, F = 37.346, P < 0.05] and TC (LSMD = 3.995, 95% CI = 1.043-6.947, F = 3.681, P < 0.05) than controls. Postprandial AUCs for insulin, homeostasis model assessment-insulin resistance (HOMA-IR) and TG were higher (LSMD = 86.987, 95% CI = 37.421-136.553, F = 16.739, P < 0.05; LSMD = 37.456, 95% CI = 16.312-58.600, F = 27.012, P < 0.05; LSMD = 4.684, 95% CI = 2.662-6.705, F = 26.158, P < 0.05), whereas HDL-C AUC was lower (LSMD = -1.652, 95% CI = -2.685 - -0.620, F = 8.190, P < 0.05) in type 2 diabetic subjects with abdominal obesity than those without abdominal obesity. In type 2 diabetic patients with abdominal obesity, postprandial TG AUC was lower in P-/- than in P+/- (LSMD = -4.393, 95% CI = -9.278 - -0.491, F = 4.476, P < 0.05) and P+/+ (LSMD = -7.180, 95% CI = -12.319 - -2.014, F = 4.476, P < 0.05) phenotypes. Postprandial AUCs for glucose, insulin, HOMA-IR, TC and HDL-C were not different according to PvuII phenotypes. Abdominal obesity exacerbates the postprandial lipid responses in type 2 diabetic patients, which partly explains the excess atherogenic risk in these patients. In addition, the presence of P+ allele could contribute to a greater postprandial TG increase in type 2 diabetic patients with abdominal obesity. ChiCTR-IOR-16008435. Registered 8 May 2016. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 26% |
| Student > Bachelor | 3 | 16% |
| Other | 2 | 11% |
| Professor | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 26% |
| Agricultural and Biological Sciences | 4 | 21% |
| Nursing and Health Professions | 3 | 16% |
| Mathematics | 1 | 5% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 September 2019.
All research outputs
#14,077,971
of 22,997,544 outputs
Outputs from Nutrition & Metabolism
#579
of 950 outputs
Outputs of similar age
#169,828
of 317,683 outputs
Outputs of similar age from Nutrition & Metabolism
#12
of 16 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.