The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A new class of synthetic retinoid antibiotics effective against bacterial persisters
Open accessAbstract
A challenge in the treatment of Staphylococcus aureus infections is the high prevalence of methicillin-resistant S. aureus (MRSA) strains and the formation of non-growing, dormant ‘persister’ subpopulations that exhibit high levels of tolerance to antibiotics and have a role in chronic or recurrent infections. As conventional antibiotics are not effective in the treatment of infections caused by such bacteria, novel antibacterial therapeutics are urgently required. Here we used a Caenorhabditis elegans–MRSA infection screen to identify two synthetic retinoids, CD437 and CD1530, which kill both growing and persister MRSA cells by disrupting lipid bilayers. CD437 and CD1530 exhibit high killing rates, synergism with gentamicin, and a low probability of resistance selection. All-atom molecular dynamics simulations demonstrated that the ability of retinoids to penetrate and embed in lipid bilayers correlates with their bactericidal ability. An analogue of CD437 was found to retain anti-persister activity and show an improved cytotoxicity profile. Both CD437 and this analogue, alone or in combination with gentamicin, exhibit considerable efficacy in a mouse model of chronic MRSA infection. With further development and optimization, synthetic retinoids have the potential to become a new class of antimicrobials for the treatment of Gram-positive bacterial infections that are currently difficult to cure.
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
Origins and evolution of antibiotic resistance
Davies, J., & Davies, D. (2010) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00016-10 · Cited by 5,784
Baddour, L. M., Wilson, W. R., Bayer, A. S., Fowler, V. G., Tleyjeh, I. M., Rybak, M. J., Barsic, B., Lockhart, P. B., Gewitz, M. H., Levison, M. E., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000296 · Cited by 3,232
Lew, D. P., & Waldvogel, F. A. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16727-5 · Cited by 1,883
Metabolite-enabled eradication of bacterial persisters by aminoglycosides
Allison, K. R., Brynildsen, M. P., & Collins, J. J. (2011) · Nature · doi:10.1038/nature10069 · Cited by 1,025
Origins and evolution of antibiotic resistance.
DAVIES, J. E. (1996) · PubMed · Cited by 941
Hurdle, J. G., O'Neill, A. J., Chopra, I., & Lee, R. E. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2474 · Cited by 871
Activated ClpP kills persisters and eradicates a chronic biofilm infection
Conlon, B. P., Nakayasu, E. S., Fleck, L. E., LaFleur, M. D., Isabella, V. M., Coleman, K., Leonard, S. N., Smith, R. D., Adkins, J. N., & Lewis, K. (2013) · Nature · doi:10.1038/nature12790 · Cited by 672
RAR and RXR modulation in cancer and metabolic disease
Altucci, L., Leibowitz, M. D., Ogilvie, K. M., de Lera, A. R., & Gronemeyer, H. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2397 · Cited by 517
Antibacterial Action of Structurally Diverse Cationic Peptides on Gram-Positive Bacteria
Friedrich, C. L., Moyles, D., Beveridge, T. J., & Hancock, R. E. W. (2000) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.44.8.2086-2092.2000 · Cited by 464
Initial Low‐Dose Gentamicin for Staphylococcus aureus Bacteremia and Endocarditis Is Nephrotoxic
Cosgrove, S. E., Vigliani, G. A., Campion, M., Fowler, Jr., Abrutyn, E., Corey, G. R., Levine, D. P., Rupp, M. E., Chambers, H. F., Karchmer, A. W., et al. (2009) · Clinical Infectious Diseases · doi:10.1086/597031 · Cited by 309
Cited by
Antimicrobial Resistance in ESKAPE Pathogens
De Oliveira, D. M. P., Forde, B. M., Kidd, T. J., Harris, P. N. A., Schembri, M. A., Beatson, S. A., Paterson, D. L., & Walker, M. J. (2020) · Clinical Microbiology Reviews · doi:10.1128/cmr.00181-19 · Cited by 2,078
Antibiotic resistance and persistence—implications for human health and treatment perspectives
Huemer, M., Mairpady Shambat, S., Brugger, S. D., & Zinkernagel, A. S. (2020) · The EMBO Reports · doi:10.15252/embr.202051034 · Cited by 850
Liu, Y., Zhu, Z., Pei, X., Zhang, X., Cheng, X., Hu, S., Gao, X., Wang, J., Chen, J., & Wan, Q. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c12090 · Cited by 259
The eagle effect and antibiotic-induced persistence: two sides of the same coin?
Prasetyoputri, A., Jarrad, A. M., Cooper, M. A., & Blaskovich, M. A. T. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2018.10.007 · Cited by 101
Shin, M., Jin, Y., Park, J., Mun, D., Kim, S. R., Payne, S. M., Kim, K. H., & Kim, Y. (2021) · ACS Chemical Biology · doi:10.1021/acschembio.0c00842 · Cited by 26
Metadata
- Authors
- Kim, W., Zhu, W., Hendricks, G. L., Van Tyne, D., Steele, A. D., Keohane, C. E., Fricke, N., Conery, A. L., Shen, S., Pan, W., Lee, K., Rajamuthiah, R., Fuchs, B. B., Vlahovska, P. M., Wuest, W. M., Gilmore, M. S., Gao, H., Ausubel, F. M., & Mylonakis, E.
- Venue
- Nature
- Published
- 2018-03-28
- Volume
- 556
- Issue
- 7699
- Pages
- 103-107
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2795324556
- Cited by
- 411
- References
- 27
- FWCI
- 35.79
- Type
- journal article
- Language
- en
- Open access
- green
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: A new class of synthetic retinoid antibiotics effective against bacterial persisters. https://app.cochat.ai/papers/10.1038/nature26157
- The paper
- Kim, W., Zhu, W., Hendricks, G. L., Van Tyne, D., Steele, A. D., Keohane, C. E., Fricke, N., Conery, A. L., Shen, S., Pan, W., Lee, K., Rajamuthiah, R., Fuchs, B. B., Vlahovska, P. M., Wuest, W. M., Gilmore, M. S., Gao, H., Ausubel, F. M., & Mylonakis, E. (2018). A new class of synthetic retinoid antibiotics effective against bacterial persisters. Nature. https://doi.org/10.1038/nature26157
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.
