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Cited by 319

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

In vitro testing of combined hydroxychloroquine and azithromycin on SARS-CoV-2 shows synergistic effect

Open access
Andreani, Julien, Le Bideau, Marion, Duflot, Isabelle, Jardot, Priscilla, Rolland, Clara, Boxberger, Manon, Wurtz, Nathalie, Rolain, Jean-Marc, Colson, Philippe, La Scola, Bernard, Raoult, Didier·2020·Microbial Pathogenesis

Abstract

Human coronaviruses SARS-CoV-2 appeared at the end of 2019 and led to a pandemic with high morbidity and mortality. As there are currently no effective drugs targeting this virus, drug repurposing represents a short-term strategy to treat millions of infected patients at low costs. Hydroxychloroquine showed an antiviral effect in vitro. In vivo it showed efficacy, especially when combined with azithromycin in a preliminary clinical trial. Here we demonstrate that the combination of hydroxychloroquine and azithromycin has a synergistic effect in vitro on SARS-CoV-2 at concentrations compatible with that obtained in human lung.

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Registry

Crossref · 10.1016/j.micpath.2020.104228

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Metadata

Authors
Andreani, J., Le Bideau, M., Duflot, I., Jardot, P., Rolland, C., Boxberger, M., Wurtz, N., Rolain, J.-M., Colson, P., La Scola, B., & Raoult, D.
Venue
Microbial Pathogenesis
Publisher
Elsevier BV
Published
2020-08
Volume
145
Pages
104228
ISSN
0882-4010 (ISSN-L)
OpenAlex
W3018057581
Cited by
319
References
39
FWCI
8.75
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: In vitro testing of combined hydroxychloroquine and azithromycin on SARS-CoV-2 shows synergistic effect. https://app.cochat.ai/papers/10.1016/j.micpath.2020.104228
The paper
Andreani, J., Le Bideau, M., Duflot, I., Jardot, P., Rolland, C., Boxberger, M., Wurtz, N., Rolain, J.-M., Colson, P., La Scola, B., & Raoult, D. (2020). In vitro testing of combined hydroxychloroquine and azithromycin on SARS-CoV-2 shows synergistic effect. Microbial Pathogenesis. https://doi.org/10.1016/j.micpath.2020.104228

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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.