Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1016/j.taap.2020.115237

http://scihub22266oqcxt.onion/10.1016/j.taap.2020.115237
suck pdf from google scholar
32920000!7483129!32920000
unlimited free pdf from europmc32920000    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32920000&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi

pmid32920000      Toxicol+Appl+Pharmacol 2020 ; 406 (?): 115237
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Safety assessment of drug combinations used in COVID-19 treatment: in silico toxicogenomic data-mining approach #MMPMID32920000
  • Baralic K; Jorgovanovic D; Zivancevic K; Antonijevic Miljakovic E; Antonijevic B; Buha Djordjevic A; Curcic M; Dukic-Cosic D
  • Toxicol Appl Pharmacol 2020[Nov]; 406 (?): 115237 PMID32920000show ga
  • 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.
  • |*Betacoronavirus[MESH]
  • |*Computer Simulation[MESH]
  • |Antiviral Agents/administration & dosage/adverse effects[MESH]
  • |Azithromycin/administration & dosage/adverse effects[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Drug Treatment[MESH]
  • |Chloroquine/administration & dosage/adverse effects[MESH]
  • |Coronavirus Infections/drug therapy/genetics[MESH]
  • |Data Mining/*methods[MESH]
  • |Databases, Genetic[MESH]
  • |Drug Therapy, Combination[MESH]
  • |Gene Regulatory Networks/drug effects/genetics[MESH]
  • |Humans[MESH]
  • |Hydroxychloroquine/administration & dosage/adverse effects[MESH]
  • |Lopinavir/administration & dosage/adverse effects[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/drug therapy/genetics[MESH]
  • |Ritonavir/administration & dosage/adverse effects[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box