| Title |
The role of novel biomarkers in predicting diabetic nephropathy: a review
|
|---|---|
| Published in |
International Journal of Nephrology and Renovascular Disease, August 2017
|
| DOI | 10.2147/ijnrd.s143186 |
| Pubmed ID | |
| Authors |
Samuel N Uwaezuoke |
| Abstract |
Diabetic nephropathy (DN) is one of the microvascular complications of the kidney arising commonly from type 1 diabetes mellitus (T1DM), and occasionally from type 2 diabetes mellitus (T2DM). Microalbuminuria serves as an early indicator of DN risk and a predictor of its progression as well as cardiovascular disease risk in both T1DM and T2DM. Although microalbuminuria remains the gold standard for early detection of DN, it is not a sufficiently accurate predictor of DN risk due to some limitations. Thus, there is a paradigm shift to novel biomarkers which would help to predict DN risk early enough and possibly prevent the occurrence of end-stage kidney disease. These new biomarkers have been broadly classified into glomerular biomarkers, tubular biomarkers, biomarkers of inflammation, biomarkers of oxidative stress, and miscellaneous biomarkers which also include podocyte biomarkers, some of which are also considered as tubular and glomerular biomarkers. Although they are potentially useful for the evaluation of DN, current data still preclude the routine clinical use of majority of them. However, their validation using high-quality and large longitudinal studies is of paramount importance, as well as the subsequent development of a biomarker panel which can reliably predict and evaluate this renal microvascular disease. This paper aims to review the predictive role of these biomarkers in the evaluation of DN. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 15% |
| Student > Postgraduate | 15 | 11% |
| Student > Ph. D. Student | 12 | 8% |
| Researcher | 11 | 8% |
| Student > Bachelor | 11 | 8% |
| Other | 28 | 20% |
| Unknown | 43 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 32% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 6% |
| Agricultural and Biological Sciences | 7 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Other | 16 | 11% |
| Unknown | 47 | 33% |
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 18 May 2018.
All research outputs
#14,079,280
of 22,999,744 outputs
Outputs from International Journal of Nephrology and Renovascular Disease
#103
of 239 outputs
Outputs of similar age
#170,013
of 317,430 outputs
Outputs of similar age from International Journal of Nephrology and Renovascular Disease
#5
of 7 outputs
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So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
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