Evidence map›Paper›PMID 32920000›Full record

ArticleToxicology and applied pharmacology2020

Safety assessment of drug combinations used in COVID-19 treatment: in silico toxicogenomic data-mining approach.

Katarina Baralić, Dragica Jorgovanović, Katarina Živančević, Evica Antonijević Miljaković, Biljana Antonijević, Aleksandra Buha Djordjevic, Marijana Ćurčić, Danijela Đukić-Ćosić

Open access · greenAbstract read
In one paragraph

Article in Toxicology and applied pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 21 citations in OpenAlex.

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  11. Predictive association ofPharmacogenomics · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Katarina BaralićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: katarinab@pharmacy.bg.ac.rs.
Dragica JorgovanovićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia.
Katarina ŽivančevićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia.
Evica Antonijević MiljakovićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: evica.antonijevic@pharmacy.bg.ac.rs.
Biljana AntonijevićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: biljana.antonijevic@pharmacy.bg.ac.rs.
Aleksandra Buha DjordjevicDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: aleksandra.buha@pharmacy.bg.ac.rs.
Marijana ĆurčićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: marijana.curcic@pharmacy.bg.ac.rs.
Danijela Đukić-ĆosićDepartment of Toxicology "Akademik Danilo Soldatović", Center for Toxicological Risk Assessment, University of Belgrade - Faculty of Pharmacy, Serbia. Electronic address: danijela.djukic.cosic@pharmacy.bg.ac.rs.
University of Belgrade · RSUniversity of Belgrade – Faculty of Pharmacy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvement of COVID-19 clinical condition was seen in studies where combination of antiretroviral drugs, lopinavir and ritonavir, as well as immunomodulant antimalaric, chloroquine/hydroxychloroquine together with the macrolide-type antibiotic, azithromycin, was used for patient's treatment. Although these drugs are "old", their pharmacological and toxicological profile in SARS-CoV-2 - infected patients are still unknown. Thus, by using in silico toxicogenomic data-mining approach, we aimed to assess both risks and benefits of the COVID-19 treatment with the most promising candidate drugs combinations: lopinavir/ritonavir and chloroquine/hydroxychloroquine + azithromycin. The Comparative Toxicogenomics Database (CTD; http://CTD.mdibl.org), Cytoscape software (https://cytoscape.org) and ToppGene Suite portal (https://toppgene.cchmc.org) served as a foundation in our research. Our results have demonstrated that lopinavir/ritonavir increased the expression of the genes involved in immune response and lipid metabolism (IL6, ICAM1, CCL2, TNF, APOA1, etc.). Chloroquine/hydroxychloroquine + azithromycin interacted with 6 genes (CCL2, CTSB, CXCL8, IL1B, IL6 and TNF), whereas chloroquine and azithromycin affected two additional genes (BCL2L1 and CYP3A4), which might be a reason behind a greater number of consequential diseases. In contrast to lopinavir/ritonavir, chloroquine/hydroxychloroquine + azithromycin downregulated the expression of TNF and IL6. As expected, inflammation, cardiotoxicity, and dyslipidaemias were revealed as the main risks of lopinavir/ritonavir treatment, while chloroquine/hydroxychloroquine + azithromycin therapy was additionally linked to gastrointestinal and skin diseases. According to our results, these drug combinations should be administrated with caution to patients suffering from cardiovascular problems, autoimmune diseases, or acquired and hereditary lipid disorders.

Indexed as

BetacoronavirusComputer SimulationAntiviral AgentsAzithromycinChloroquineCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentDatabases, GeneticData MiningDrug Therapy, CombinationGene Regulatory NetworksHumansHydroxychloroquineLopinavirPandemicsAntiviral AgentsAzithromycinChloroquineHydroxychloroquineLopinavirRitonavirAnti-COVID-19 TherapyAzithromycinChloroquinein silico ApproachLopinavirRitonavir

Identifiers

PMID32920000
PMCPMC7483129
OpenAlexW3084974393

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.