Title |
The Human Cathelicidin Antimicrobial Peptide LL-37 and Mimics are Potential Anticancer Drugs
|
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Published in |
Frontiers in oncology, June 2015
|
DOI | 10.3389/fonc.2015.00144 |
Pubmed ID | |
Authors |
Kengo Kuroda, Kazuhiko Okumura, Hiroshi Isogai, Emiko Isogai |
Abstract |
Antimicrobial peptides (AMPs) play a critical role in innate host defense against microbial pathogens in many organisms. The human cathelicidin, LL-37, has a net positive charge and is amphiphilic, and can eliminate pathogenic microbes directly via electrostatic attraction toward negatively charged bacterial membranes. A number of studies have shown that LL-37 participates in various host immune systems, such as inflammatory responses and tissue repair, in addition to its antibacterial properties. Moreover, recent evidence suggests that it is also involved in the regulation of cancer. Indeed, previous studies have suggested that human LL-37 is involved in carcinogenesis via multiple reporters, such as FPR2 (FPRL1), epidermal growth factor receptor, and ERBb2, although LL-37 and its fragments and analogs also show anticancer effects in various cancer cell lines. This discrepancy can be attributed to peptide-based factors, host membrane-based factors, and signal regulation. Here, we describe the association between AMPs and cancer with a focus on anticancer peptide functions and selectivity in an effort to understand potential therapeutic implications. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 14% |
United Kingdom | 1 | 14% |
Panama | 1 | 14% |
United States | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | <1% |
Unknown | 207 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 39 | 19% |
Student > Master | 31 | 15% |
Student > Bachelor | 23 | 11% |
Researcher | 21 | 10% |
Student > Doctoral Student | 17 | 8% |
Other | 35 | 17% |
Unknown | 42 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 48 | 23% |
Agricultural and Biological Sciences | 29 | 14% |
Immunology and Microbiology | 19 | 9% |
Medicine and Dentistry | 19 | 9% |
Chemistry | 14 | 7% |
Other | 32 | 15% |
Unknown | 47 | 23% |