The DOI matches its Crossref record; 185 of the 185 references it cites were found in a registry or an index.
Insect antimicrobial peptides: potential weapons to counteract the antibiotic resistance
Open accessAbstract
Misuse and overuse of antibiotics have contributed in the last decades to a phenomenon known as antibiotic resistance which is currently considered one of the principal threats to global public health by the World Health Organization. The aim to find alternative drugs has been demonstrated as a real challenge. Thanks to their biodiversity, insects represent the largest class of organisms in the animal kingdom. The humoral immune response includes the production of antimicrobial peptides (AMPs) that are released into the insect hemolymph after microbial infection. In this review, we have focused on insect immune responses, particularly on AMP characteristics, their mechanism of action and applications, especially in the biomedical field. Furthermore, we discuss the Toll, Imd, and JAK-STAT pathways that activate genes encoding for the expression of AMPs. Moreover, we focused on strategies to improve insect peptides stability against proteolytic susceptibility such as D-amino acid substitutions, N-terminus modification, cyclization and dimerization.
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
1 retracted
Permana, A. D., Mir, M., Utomo, E., & Donnelly, R. F. (2020) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2020.119220 · Cited by 57
RetractedUCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 45,828
Antimicrobial peptides of multicellular organisms
Zasloff, M. (2002) · Nature · doi:10.1038/415389a · Cited by 8,457
Janeway, C. A., & Medzhitov, R. (2002) · Annual Review of Immunology · doi:10.1146/annurev.immunol.20.083001.084359 · Cited by 8,394
Antimicrobial peptides: pore formers or metabolic inhibitors in bacteria?
Brogden, K. A. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1098 · Cited by 5,829
Inflammatory responses and inflammation-associated diseases in organs
Chen, L., Deng, H., Cui, H., Fang, J., Zuo, Z., Deng, J., Li, Y., Wang, X., & Zhao, L. (2018) · Oncotarget · doi:10.18632/oncotarget.23208 · Cited by 5,143
Antimicrobial and host-defense peptides as new anti-infective therapeutic strategies
Hancock, R. E. W., & Sahl, H.-G. (2006) · Nature Biotechnology · doi:10.1038/nbt1267 · Cited by 4,208
Azevedo, R. S. S., de Sousa, J. R., Araujo, M. T. F., Martins Filho, A. J., de Alcantara, B. N., Araujo, F. M. C., Queiroz, M. G. L., Cruz, A. C. R., Vasconcelos, B. H. B., Chiang, J. O., et al. (2018) · Scientific Reports · doi:10.1038/s41598-017-17765-5 · Cited by 3,478
The Host Defense of Drosophila melanogaster
Lemaitre, B., & Hoffmann, J. (2007) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141615 · Cited by 3,324
Peptide therapeutics: current status and future directions
Fosgerau, K., & Hoffmann, T. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2014.10.003 · Cited by 3,030
Cited by
Stenvinkel, P., Shiels, P. G., & Johnson, R. J. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.116981 · Cited by 14
Biomimetics provides lessons from nature for contemporary ways to improve human health
Stenvinkel, P., Avesani, C. M., Gordon, L. J., Schalling, M., & Shiels, P. G. (2021) · Journal of Clinical and Translational Science · doi:10.1017/cts.2021.790 · Cited by 11
Metadata
- Authors
- Manniello, M. D., Moretta, A., Salvia, R., Scieuzo, C., Lucchetti, D., Vogel, H., Sgambato, A., & Falabella, P.
- Venue
- Cellular and Molecular Life Sciences
- Published
- 2021-02-17
- Volume
- 78
- Issue
- 9
- Pages
- 4259-4282
- ISSN
- 1420-682X (ISSN-L)
- 1420-9071
- OpenAlex
- W3132791108
- Cited by
- 259
- References
- 185
- FWCI
- 25.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Insect antimicrobial peptides: potential weapons to counteract the antibiotic resistance. https://app.cochat.ai/papers/10.1007/s00018-021-03784-z
- The paper
- Manniello, M. D., Moretta, A., Salvia, R., Scieuzo, C., Lucchetti, D., Vogel, H., Sgambato, A., & Falabella, P. (2021). Insect antimicrobial peptides: potential weapons to counteract the antibiotic resistance. Cellular and Molecular Life Sciences. https://doi.org/10.1007/s00018-021-03784-z
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.