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Effects of extremely low frequency pulsed magnetic fields on diabetic nephropathy in streptozotocin-treated rats

Overview of attention for article published in BioMedical Engineering OnLine, January 2016
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Title
Effects of extremely low frequency pulsed magnetic fields on diabetic nephropathy in streptozotocin-treated rats
Published in
BioMedical Engineering OnLine, January 2016
DOI 10.1186/s12938-015-0121-6
Pubmed ID
Authors

Feijiang Li, Tao Lei, Kangning Xie, Xiaoming Wu, Chi Tang, Maogang Jiang, Juan Liu, Erping Luo, Guanghao Shen

Abstract

Extremely low frequency pulsed magnetic fields (ELFPMF) have been shown to induce Faraday currents and measurable effects on biological systems. A kind of very high frequency electromagnetic field was reported that it improved the symptoms of diabetic nephropathy (DN) which is a major complication of diabetes. However, few studies have examined the effects of ELFPMF DN at the present. The present study was designed to investigate the effects of ELFPMF on DN in streptozotocin (STZ)-induced type 1 diabetic rats. Adult male SD rats were randomly divided into three weight-matched groups: Control (non-diabetic rats without DN), DN + ELFPMF (diabetic rats with DN exposed to ELFPMF, 8 h/days, 6 weeks) and DN (diabetic rats with DN exposed to sham ELFPMF). Renal morphology was examined by light and electron microscopy, vascular endothelial growth factor (VEGF)-A and connective tissue growth factor (CTGF) were measured by enzyme linked immune sorbent assay. After 6 weeks' ELFPMF exposure, alterations of hyperglycemia and weight loss in STZ-treated rats with DN were not found, while both positive and negative effects of ELFPMF on the development of DN in diabetic rats were observed. The positive one was that ELFPMF exposure attenuated the pathological alterations in renal structure observed in STZ-treated rats with DN, which were demonstrated by slighter glomerular and tubule-interstitial lesions examined by light microscopy and slighter damage to glomerular basement membrane and podocyte foot processes examined by electron microscopy. And then, the negative one was that ELFPMF stimulation statistically significantly decreased renal expression of VEGF-A and statistically significantly increased renal expression of CTGF in diabetic rats with DN, which might partially aggravate the symptoms of DN. Both positive and negative effects of ELFPMF on the development of DN in diabetic rats were observed. The positive effect induced by ELFPMF might play a dominant role in the procession of DN in diabetic rats, and it is suggested that the positive effect should be derived from the correction of pathogenic diabetes-induced mediators.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 41%
Student > Ph. D. Student 3 18%
Professor 1 6%
Student > Doctoral Student 1 6%
Researcher 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Engineering 2 12%
Immunology and Microbiology 1 6%
Psychology 1 6%
Environmental Science 1 6%
Other 0 0%
Unknown 6 35%
Attention Score in Context

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 28 January 2016.
All research outputs
#14,834,028
of 22,842,950 outputs
Outputs from BioMedical Engineering OnLine
#395
of 823 outputs
Outputs of similar age
#219,651
of 394,468 outputs
Outputs of similar age from BioMedical Engineering OnLine
#11
of 31 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 48th percentile – i.e., 48% 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 394,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.