| Title |
Oxysterol species: reliable markers of oxidative stress in diabetes mellitus
|
|---|---|
| Published in |
Journal of Endocrinological Investigation, March 2018
|
| DOI | 10.1007/s40618-018-0873-5 |
| Pubmed ID | |
| Authors |
A. Samadi, A. Gurlek, S. N. Sendur, S. Karahan, F. Akbiyik, I. Lay |
| Abstract |
To assess the plasma oxysterol species 7-ketocholesterol (7-Kchol) and cholestane-3β,5α,6β-triol (chol-triol) as biomarkers of oxidative stress in type 1 and type 2 diabetes mellitus (DM). In total, 26 type 1 and 80 type 2 diabetes patients, along with 205 age- and gender-matched healthy controls, were included in this study. Oxysterols were quantified by liquid chromatography coupled with tandem mass spectrometry and N,N-dimethylglycine derivatization. Correlations between oxysterols and clinical/biochemical characteristics of the diabetes patients, and factors affecting 7-Kchol and chol-triol, were also determined. Plasma 7-Kchol and chol-triol levels were significantly higher in type 1 and type 2 diabetes patients compared to healthy controls (P < 0.001). Significant positive correlations were observed between oxysterol levels and levels of glycated hemoglobin (HbA1c), glucose, serum total cholesterol, low-density lipoprotein, very-low-density lipoprotein, and triglycerides, as well as the number of coronary risk factors. Statins, oral hypoglycemic agents, and antihypertensive agents reduced the levels of oxysterols in type 2 diabetes patients. Statin use, HbA1c levels, and the number of coronary risk factors accounted for 98.8% of the changes in 7-Kchol levels, and total cholesterol, smoking status, and the number of coronary risk factors accounted for 77.3% of the changes in chol-triol levels in type 2 diabetes patients. Plasma oxysterol levels in DM, and particularly type 2 DM, may yield complementary information regarding oxidative stress for the clinical follow-up of diabetes patients, especially those with coronary risk factors. |
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 % |
|---|---|---|
| Canada | 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 19% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Medicine and Dentistry | 6 | 16% |
| Nursing and Health Professions | 3 | 8% |
| Neuroscience | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
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 26 March 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Journal of Endocrinological Investigation
#1,223
of 1,622 outputs
Outputs of similar age
#271,325
of 347,622 outputs
Outputs of similar age from Journal of Endocrinological Investigation
#12
of 21 outputs
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