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Renal protective effect of Paeoniflorin by inhibition of JAK2/STAT3 signaling pathway in diabetic mice

Overview of attention for article published in BioScience Trends, April 2018
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Title
Renal protective effect of Paeoniflorin by inhibition of JAK2/STAT3 signaling pathway in diabetic mice
Published in
BioScience Trends, April 2018
DOI 10.5582/bst.2018.01009
Pubmed ID
Authors

Xinyu Li, Yan Wang, Kun Wang, Yonggui Wu

Abstract

Paeoniflorin is the main bioactive components of the root of P.lactiflora Pall., and has been widely used as an anti-inflammation and immunomodulatory agent. However, the effect and mechanisms of Paeoniflorin in diabetic nephropathy (DN) remains to be elucidated. In the present study, streptozotocin (STZ)-induced type 1 diabetic mice model was used to investigate the protective effect of Paeoniflorin and the role of the Janus kinase (JAK) 2/signal transducer (STAT) 3 signaling pathway on DN. After treatment with Paeoniflorin at a dose of 25, 50 and 100 mg/kg once a day for 12 weeks, both the functional and histological damage to diabetic mice kidney had been attenuated significantly. Additionally, these reno-protective effects were associated with alleviating macrophage infiltration and inflammatory factors expression as well as suppression of the JAK2/STAT3 signaling pathway. These data reveal that Paeoniflorin attenuates renal lesions in diabetic mice and these protective effects may be associated with the prevention of macrophage infiltration and inhibition of the JAK2/STAT3 signaling pathway.

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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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Bachelor 2 15%
Lecturer 1 8%
Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 23%
Medicine and Dentistry 2 15%
Immunology and Microbiology 1 8%
Nursing and Health Professions 1 8%
Neuroscience 1 8%
Other 1 8%
Unknown 4 31%
Attention Score in Context

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 21 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from BioScience Trends
#189
of 314 outputs
Outputs of similar age
#254,022
of 327,380 outputs
Outputs of similar age from BioScience Trends
#5
of 7 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one is in the 28th percentile – i.e., 28% 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 327,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.