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| Title |
Xiaokeping mixture inhibits diabetic nephropathy in streptozotocin-induced rats through blocking TGF-β1/Smad7 signaling
|
|---|---|
| Published in |
Drug Design, Development and Therapy, November 2015
|
| DOI | 10.2147/dddt.s93964 |
| Pubmed ID | |
| Authors |
Chuanwei Xin, Zhongni Xia, Cheng Jiang, Mengmeng Lin, Gonghua Li |
| Abstract |
Diabetic nephropathy (DN) is a major cause of chronic kidney failure and characterized by excessive deposition of extracellular matrix. Evidence have shown that transforming growth factor-β1 (TGF-β1) is a key mediator in the development of DN. However, treatment of DN by blocking the TGF-β1/Smad7 pathway remains limited. Xiaokeping mixture (XKP), a traditional Chinese herbal compound, has been used for treatment in patients with DN for many years. In the present study, TGF-β1/Smad7 pathway analysis was used to evaluate the therapeutic effect of XKP on DN rats induced by streptozotocin and to address the underlying molecular mechanism. Male rats were divided into four groups: normal control, untreated control group (fed with high fat), irbesartan-treated DN, and XKP-treated DN, respectively. Levels of serum creatinine, blood urea nitrogen, urine protein of 24 hours, and triacylglycerol were detected. Pathological changes of renal tissues were observed by hematoxylin-eosin staining. Immunohistochemical and Western blot analysis were used to detect the expressions of TGF-β1 and Smad7. The results demonstrated that XKP can effectively reduce the levels of glucose, serum creatinine, blood urea nitrogen, urine protein of 24 hours, and triacylglycerol. Further studies indicated that inhibition of DN in XKP-treated DN rats was associated with inhibition of TGF-β1/Smad7 signaling as demonstrated by downregulation of TGF-β1 but upregulation of Smad7. The data obtained from the present study indicate that XKP may be a therapeutic agent for DN. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 25% |
| Unspecified | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Unspecified | 1 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Psychology | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
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 01 December 2015.
All research outputs
#23,214,800
of 25,870,940 outputs
Outputs from Drug Design, Development and Therapy
#1,769
of 2,287 outputs
Outputs of similar age
#253,511
of 295,743 outputs
Outputs of similar age from Drug Design, Development and Therapy
#86
of 103 outputs
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