The Use of Hydroxyurea in the Treatment of COVID-19

Foster, Melissa; Hijazi, Ali Atef; Opoku, Rebecca; Varghese, Priya; Li, Chun

doi:10.2478/jccm-2021-0019

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…4 HU may also play a role in reducing the mortality of coronavirus disease 2019. 5 HU selectively acts on the most actively dividing cells such as basal layer keratinocytes. Hence, cutaneous adverse effects have been described, including xerosis, hyperpigmentation and skin atrophy and, less frequently, nonmelanoma skin cancers.…”

Section: Discussionmentioning

confidence: 99%

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A 73‐year‐old woman with multiple crusted lesions

Zhu

Wang

2022

JEADV Clinical Practice

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A 73-year-old woman was attended for multiple crusted lesions on her head and hands for more than 1 year. These lesions had appeared 1 year ago as red patches with adherent scales without accompanying itch or pain. The patches gradually enlarged and proliferated with thick scales and an ulcer on the left side of her face. The patient suffered from polycythemia vera and had been treated with hydroxyurea (HU), 500 mg daily for 6 years. There was no personal history of local radiotherapy or heavy sun exposure and no family history of malignancy.On examination, several large infiltrated plaques with irregular borders were seen on the eyebrows, cheeks, jaw, nose and hands. The largest one was located on the left cheek (6 × 3 cm 2 ) (Figure 1a,b). A thick scale covered all lesions. In addition, there were smaller red plaques with fine scaling in sun-exposed areas (Figure 1a,b). Lab analyses including blood cell counts and serum chemistry were normal. A skin biopsy from the lesion on her left cheek was done (Figure 1b).

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Section: Discussionmentioning

confidence: 99%

“…HU also has a role in selected skin conditions 4 . HU may also play a role in reducing the mortality of coronavirus disease 2019 5 . HU selectively acts on the most actively dividing cells such as basal layer keratinocytes.…”

Section: Discussionmentioning

confidence: 99%

A 73‐year‐old woman with multiple crusted lesions

Zhu

Wang

2022

JEADV Clinical Practice

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“…A clinical study also revealed that the mortality rate was low in COVID-19 patients receiving hydroxyurea, suggesting a vital role of hydroxyurea in COVID-19 treatment [230]. Tamoxifen, a selective estrogen receptor modulator, had an interaction with CCNE1.…”

Section: Potential Drugs To Cure Severe Covid-19 Patientsmentioning

confidence: 99%

Analysis of protein-protein interaction network from leukocyte transcriptomic profiles in severe COVID -19 patients

Sagulkoo

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Coronavirus disease 2019 (COVID-19) still provides global public health issues although several vaccines and antiviral agents have been developed. Some patients experience severe conditions needed medical intensive care, and some are dead due to the failure of treatments. Therefore, identifying the key genes and underlying molecular mechanisms is necessary to discover precisely targeted drugs. Analysis of protein-protein interaction (PPI) networks provides invaluable information to find disease mechanisms and effective alternative drugs. Hence, PPI network analysis based on leukocyte transcriptomic profiles of severe COVID-19 collected from Gene Expression Omnibus (GEO) DataSets was proposed for this study. A network diffusion method called Laplacian heat diffusion (LHD) algorithm was performed to construct an immune-related PPI network (IPIN). Furthermore, several network centrality measurements can identify 23 key genes from the IPIN. Subsequently, drug-gene interaction networks were constructed using database searching based on the key genes. There were 5 candidate drugs having the potential effect of interacting with the key genes. To find additional key genes and candidate drugs, two different leukocyte transcriptomic datasets were combined for the common PPI network construction. Centrality measurement and survival analysis were used to find and validate the further key genes. The analysis revealed 4 common key genes. The drug-gene interaction and molecular docking technique provided 2 further candidate drugs that interacted with the key genes. Additionally, miRNA-mRNA regulatory networks were built based on the PPI network to recognize 5 novel biomarkers for severe COVID-19 prediction. In conclusion, PPI network analysis can discover candidate biomarkers and drugs to predict�and treat severe COVID-19 patients.�

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