| Title |
Effect of Cyclophosphamide on Expression of MMP-9 and TGF-β1 in Renal Tissue of Rats with Diabetes Mellitus
|
|---|---|
| Published in |
Cell Biochemistry and Biophysics, January 2015
|
| DOI | 10.1007/s12013-014-0474-7 |
| Pubmed ID | |
| Authors |
Yan Zhang, Ge Wu, Xiaozhou Hu, Jin Zhang |
| Abstract |
Diabetic nephropathy (DN) is a severe microvascular complication that occurs in diabetes patients. In this study, we investigated the effect of cyclophosphamide (CTX) on expression of matrix metalloproteinases (MMP-9) and transforming growth factor-β1 (TGF-β1) in renal tissue of rats with DN. We found CTX significantly reduces KI and blood glucose levels, microalbuminuria, and blood urea nitrogen. It also decreases the expression of TGF-β1 and increases the expression of MMP-9. Our data suggest CTX may reduce the excretion of urine proteins, alleviate kidney hypertrophy, and reduce blood glucose level through regulation of TGF-β1 and MMP-9 gene expression. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 33% |
| Researcher | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 33% |
| Engineering | 1 | 33% |
| Unknown | 1 | 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 12 January 2015.
All research outputs
#14,144,742
of 22,776,824 outputs
Outputs from Cell Biochemistry and Biophysics
#311
of 910 outputs
Outputs of similar age
#185,662
of 352,982 outputs
Outputs of similar age from Cell Biochemistry and Biophysics
#13
of 122 outputs
Altmetric has tracked 22,776,824 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 910 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 352,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.