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Anti-inflammatory properties of mutolide isolated from the fungus Lepidosphaeria species (PM0651419)

Overview of attention for article published in SpringerPlus, November 2015
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Title
Anti-inflammatory properties of mutolide isolated from the fungus Lepidosphaeria species (PM0651419)
Published in
SpringerPlus, November 2015
DOI 10.1186/s40064-015-1493-6
Pubmed ID
Authors

Meet Shah, Sunil Kumar Deshmukh, Shilpa A. Verekar, Akash Gohil, Abhijeet S. Kate, V. Rekha, Asha Kulkarni-Almeida

Abstract

Mutolide an anti-inflammatory compound was isolated from the coprophilous fungus Lepidosphaeria sp. (PM0651419). The compound mitigated LPS-induced secretion of pro-inflammatory cytokines TNF-α and IL-6 from THP-1 cells as well as human peripheral blood mononuclear cells (hPBMCs). Mutolide also inhibited secretion of another pro-inflammatory cytokine IL-17 from anti-hCD3/anti-hCD28 stimulated hPBMCs. NF-κB is the major transcription factor involved in the secretion of pro-inflammatory cytokines including IL-17. Mechanistic evaluations revealed that mutolide inhibited induced NF-κB activation and translocation from cytoplasm into the nucleus. However, mutolide did not significantly affect activity of p38 MAPK enzyme, a serine/threonine kinase involved in cell cycle proliferation and cytokine secretion. These results indicate that mutolide may exert its anti-inflammatory effect via NF-κB inhibition. Oral administration of mutolide at 100 mg/kg showed significant inhibition of LPS-induced release of TNF-α from Balb/c mice in an acute model of inflammation. Our results highlight the anti-inflammatory properties of mutolide and suggest that further evaluation in a chronic model of inflammation is required to confirm the potential of mutolide as a druggable candidate for the treatment of inflammatory diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Unspecified 3 12%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Researcher 2 8%
Other 5 19%
Unknown 6 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Unspecified 3 12%
Immunology and Microbiology 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Other 5 19%
Unknown 6 23%
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 01 December 2015.
All research outputs
#20,297,343
of 22,834,308 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#323,688
of 386,487 outputs
Outputs of similar age from SpringerPlus
#121
of 183 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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