The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Antibiotic activities of host defense peptides: more to it than lipid bilayer perturbation
Abstract
Defensins are small basic amphiphilic peptides (up to 5 kDa) that have been shown to be important effector molecules of the innate immune system of animals, plants and fungi. In addition to immune modulatory functions, they have potent direct antimicrobial activity against a broad spectrum of bacteria, fungi and/or viruses, which makes them promising lead compounds for the development of next-generation antiinfectives. The mode of antibiotic action of defensins was long thought to result from electrostatic interaction between the positively charged defensins and negatively charged microbial membranes, followed by unspecific membrane permeabilization or pore-formation. Microbial membranes are more negatively charged than human membranes, which may explain to some extent the specificity of defensin action against microbes and associated low toxicity for the host. However, research during the past decade has demonstrated that defensin activities can be much more targeted and that microbe-specific lipid receptors are involved in the killing activity of various defensins. In this respect, human, fungal and invertebrate defensins have been shown to bind to and sequester the bacterial cell wall building block lipid II, thereby specifically inhibiting cell wall biosynthesis. Moreover, plant and insect defensins were found to interact with fungal sphingolipid receptors, resulting in fungal cell death. This review summarizes the current knowledge on the mode of action and structure of defensins from different kingdoms, with specific emphasis on their interaction with microbial lipid receptors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Antimicrobial peptides of multicellular organisms
Zasloff, M. (2002) · Nature · doi:10.1038/415389a · Cited by 8,457
Defensins: antimicrobial peptides of innate immunity
Ganz, T. (2003) · Nature Reviews Immunology · doi:10.1038/nri1180 · Cited by 3,066
Anti-microbial peptides: from invertebrates to vertebrates
Bulet, P., Stöcklin, R., & Menin, L. (2004) · Immunological Reviews · doi:10.1111/j.0105-2896.2004.0124.x · Cited by 1,107
Multidimensional signatures in antimicrobial peptides
Yount, N. Y., & Yeaman, M. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401567101 · Cited by 402
Cited by
Biomimetic antimicrobial polymers: recent advances in molecular design
Ergene, C., Yasuhara, K., & Palermo, E. F. (2018) · Polymer Chemistry · doi:10.1039/c8py00012c · Cited by 312
Perspectives for clinical use of engineered human host defense antimicrobial peptides
Pachón-Ibáñez, M. E., Smani, Y., Pachón, J., & Sánchez-Céspedes, J. (2017) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux012 · Cited by 159
Coprisin-induced antifungal effects in Candida albicans correlate with apoptotic mechanisms
Lee, J., Hwang, J.-S., Hwang, I.-S., Cho, J., Lee, E., Kim, Y., & Lee, D. G. (2012) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2012.03.012 · Cited by 64
Sonderegger, C., Váradi, G., Galgóczy, L., Kocsubé, S., Posch, W., Borics, A., Dubrac, S., Tóth, G. K., Wilflingseder, D., & Marx, F. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01655 · Cited by 48
Nie, X., Gao, F., You, W., Chen, G., Shao, Q., Wang, L.-H., Huang, W.-Q., Xia, L., Zhang, Z., Hong, C.-Y., et al. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.138373 · Cited by 6
Metadata
- Authors
- Wilmes, M., Cammue, B. P. A., Sahl, H.-G., & Thevissen, K.
- Venue
- Natural Product Reports
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 28
- Issue
- 8
- Pages
- 1350
- ISSN
- 0265-0568 (ISSN-L)
- 1460-4752
- OpenAlex
- W2093349666
- Cited by
- 207
- References
- 4
- FWCI
- 20.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Antibiotic activities of host defense peptides: more to it than lipid bilayer perturbation. https://app.cochat.ai/papers/10.1039/c1np00022e
- The paper
- Wilmes, M., Cammue, B. P. A., Sahl, H.-G., & Thevissen, K. (2011). Antibiotic activities of host defense peptides: more to it than lipid bilayer perturbation. Natural Product Reports. https://doi.org/10.1039/c1np00022e
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.