↓ Skip to main content

Chinese Herbal Medicines Attenuate Acute Pancreatitis: Pharmacological Activities and Mechanisms

Overview of attention for article published in Frontiers in Pharmacology, April 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Chinese Herbal Medicines Attenuate Acute Pancreatitis: Pharmacological Activities and Mechanisms
Published in
Frontiers in Pharmacology, April 2017
DOI 10.3389/fphar.2017.00216
Pubmed ID
Authors

Hong Xiang, Qingkai Zhang, Bing Qi, Xufeng Tao, Shilin Xia, Huiyi Song, Jialin Qu, Dong Shang

Abstract

Acute pancreatitis (AP) is a commonly occurring gastrointestinal disorder. An increase in the annual incidence of AP has been observed, and it causes acute hospitalization and high mortality. The diagnosis and treatment guidelines for AP recommend conservative medical treatments focused on reducing pancreatic secretion and secondary injury, as a primary therapeutic approach. Unfortunately, the existing treatment options have limited impact on the incidence and severity of AP due to the complex and multifaceted pathological process of this disease. In recent decades, Chinese herbal medicines (CHMs) have been used as efficient therapeutic agents to attenuate AP in Asian countries. Despite early cell culture, animal models, and clinical trials, CHMs are capable of interacting with numerous molecular targets participating in the pathogenesis of AP; however, comprehensive, up-to-date communication in this field is not yet available. This review focuses on the pharmacological activities of CHMs against AP in vitro and in vivo and the underlying mechanisms. A computational prediction of few selected and promising plant-derived molecules (emodin, baicalin, resveratrol, curcumin, ligustrazine, and honokiol) to target numerous proteins or networks involved in AP was initially established based on a network pharmacology simulation. Moreover, we also summarized some potential toxic natural products for pancreas in order to more safe and reasonable medication. These breakthrough findings may have important implications for innovative drug research and the future development of treatments for AP.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 7 16%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Other 2 5%
Other 4 9%
Unknown 16 36%
Readers by discipline Count As %
Medicine and Dentistry 11 25%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Agricultural and Biological Sciences 3 7%
Chemistry 2 5%
Other 3 7%
Unknown 19 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 March 2023.
All research outputs
#7,582,018
of 23,770,218 outputs
Outputs from Frontiers in Pharmacology
#3,299
of 17,417 outputs
Outputs of similar age
#116,327
of 311,118 outputs
Outputs of similar age from Frontiers in Pharmacology
#51
of 225 outputs
Altmetric has tracked 23,770,218 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 17,417 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 80% 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 311,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.