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Cited by 204

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Folic Acid Antagonists: Antimicrobial and Immunomodulating Mechanisms and Applications

Open access
Fernández-Villa, Daniel, Aguilar, Maria Rosa, Rojo, Luis·2019·International Journal of Molecular Sciences

Abstract

Bacterial, protozoan and other microbial infections share an accelerated metabolic rate. In order to ensure a proper functioning of cell replication and proteins and nucleic acids synthesis processes, folate metabolism rate is also increased in these cases. For this reason, folic acid antagonists have been used since their discovery to treat different kinds of microbial infections, taking advantage of this metabolic difference when compared with human cells. However, resistances to these compounds have emerged since then and only combined therapies are currently used in clinic. In addition, some of these compounds have been found to have an immunomodulatory behavior that allows clinicians using them as anti-inflammatory or immunosuppressive drugs. Therefore, the aim of this review is to provide an updated state-of-the-art on the use of antifolates as antibacterial and immunomodulating agents in the clinical setting, as well as to present their action mechanisms and currently investigated biomedical applications.

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Crossref · 10.3390/ijms20204996

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Metadata

Authors
Fernández-Villa, D., Aguilar, M. R., & Rojo, L.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2019-10-09
Volume
20
Issue
20
Pages
4996
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2979352475
Cited by
204
References
3
FWCI
11.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Folic Acid Antagonists: Antimicrobial and Immunomodulating Mechanisms and Applications. https://app.cochat.ai/papers/10.3390/ijms20204996
The paper
Fernández-Villa, D., Aguilar, M. R., & Rojo, L. (2019). Folic Acid Antagonists: Antimicrobial and Immunomodulating Mechanisms and Applications. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms20204996

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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.