| Title |
Antibacterial activity of curcumin via apoptosis-like response in Escherichia coli
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, March 2016
|
| DOI | 10.1007/s00253-016-7415-x |
| Pubmed ID | |
| Authors |
Dae Gyu Yun, Dong Gun Lee |
| Abstract |
Curcumin, a naturally occurring phenolic compound, has been shown to exhibit antimicrobial activity against Candida albicans, Escherichia coli, Pseudomonas aeruginosa, etc., but the mechanism remains unclear. The present study was designed to investigate the novel antibacterial mechanism of curcumin that shows an apoptosis-like response in E. coli. We found that curcumin induces membrane damage at relatively high concentrations, but there was no effect at the minimum inhibitory concentration (MIC). At the MIC, curcumin-treated cells displayed various apoptotic markers such as reactive oxygen species (ROS) accumulation, membrane depolarization, and Ca(2+) influx. Expression of RecA protein, which mediates a bacterial apoptosis-like response, was also increased by curcumin. In order to evaluate the influence of RecA on the appearance of other apoptotic markers, phosphatidylserine (PS) exposure and DNA fragmentation were examined and compared with a RecA deletion strain (ΔRecA). These markers were detected in E. coli wild-type cells, but not in ΔRecA cells. In conclusion, our data demonstrate that curcumin induces an apoptosis-like response in E. coli that involves RecA. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 14% |
| Student > Ph. D. Student | 14 | 12% |
| Student > Bachelor | 12 | 10% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 8 | 7% |
| Other | 14 | 12% |
| Unknown | 41 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 15% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 9% |
| Immunology and Microbiology | 6 | 5% |
| Chemistry | 5 | 4% |
| Other | 18 | 16% |
| Unknown | 46 | 40% |
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 11 March 2016.
All research outputs
#16,371,088
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,817
of 8,034 outputs
Outputs of similar age
#183,198
of 304,765 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#76
of 129 outputs
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